CN100347381C - Remote monitoring and maintaining system of pneumatic paisson unmanned construction equipment - Google Patents
Remote monitoring and maintaining system of pneumatic paisson unmanned construction equipment Download PDFInfo
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- CN100347381C CN100347381C CNB2005100250597A CN200510025059A CN100347381C CN 100347381 C CN100347381 C CN 100347381C CN B2005100250597 A CNB2005100250597 A CN B2005100250597A CN 200510025059 A CN200510025059 A CN 200510025059A CN 100347381 C CN100347381 C CN 100347381C
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Abstract
The present invention relates to a remote monitoring and maintaining system for unmanned construction equipment of a pneumatic caisson. Sensor signals are acquired by a module for acquiring and processing the sensor signals and are processed by photoelectric conversion and analog-to-digital conversion, and the converted signals are used as information to be input to a signal processing module in the watchdog intelligent pre-diagnosing module of the construction equipment. One path of predicted and evaluated results are transmitted to a display module, and the other path of the predicted and evaluated results are transmitted to a network information processing module. The performance and state information of the equipment is read by the display module to display the state information of the equipment in real time, and the performance and state information of the equipment read by the network information processing module from the watchdog intelligent pre-diagnosing module is transmitted to a server through a network. The server is responsible for storing the information, and users can remotely monitor and maintain the equipment through the network. The system prevents the loss brought by the sudden occurrence to caisson construction by evaluating and predicting the performance of the equipment, and is capable of remotely monitoring and intelligently maintaining the equipment through the network.
Description
Technical field
What the present invention relates to is a kind of monitoring and maintenance system that is used for the detection technique field, unmanned construction equipment remote monitoring of particularly a kind of pneumatic caisson and maintenance system.
Background technology
The unmanned air pressure caisson working basic principle is to carry the compressed air suitable with groundwater pressure to infiltrate work-room to stop underground water in the work-room of caisson bottom, promptly utilizes compressed air to suppress underground water.Unmanned inlet during operation, All Jobs all use robot to finish, and the activity duration is unrestricted, the digging efficiency height, construction safety is reliable, this kind worker method also have construction take up room little, structural strength big, to advantages such as surrounding environment influence are little, so this kind worker method has development prospect.
But the caisson construction equipment is numerous, and high temperature in the caisson, high pressure, humidity are very big, environment is abominable, and the people in the face of the operation of the equipment remote-control in the caisson, judges often not accurate enough to the situation in the underground service depot on ground in addition, operate miss takes place easily, so equipment very easily damages, the task of plant maintenance is quite heavy, in case equipment goes wrong suddenly, gently then stop work, heavy then the safety that threatens caisson, even also can cause the accident, economic loss brought.So the performance monitoring of caisson construction equipment and maintenance have become an importance of caisson construction technology.But present monitoring of tools mode is just to report to the police when problem has appearred in equipment, safeguard it also is that equipment has occurred after the fault by the time, handle, this monitoring and maintenance mode not only efficient are low again, and cause safety problem because of equipment breaks down easily.
Chinese invention patent (application number 200410017705.0) has proposed a kind of based on network color spray drawing machine intelligent maintenance system, this kind method is only applicable to the monitoring to the air brushing machine, and this kind method complicated operation is not suitable for the abominable occasion of working environment yet.Japan's patent of invention (patent No. 62133216) has been announced the invention that a kind of caisson excavator is safeguarded, this invention stresses the protection to service worker.This invention is not carried out on-line monitoring to the construction equipment performance state that comprises excavator yet, does not have preventive effect, can not guarantee the safety of caisson construction.Therefore study a kind of construction equipment monitoring and intelligent maintenance system, realize on-line performance monitoring, and carry out intelligent maintenance,, guarantee caisson construction safety equipment, have important practical significance improving the caisson efficiency of construction to construction equipment.
Summary of the invention
The objective of the invention is to overcome deficiency of the prior art, unmanned construction equipment remote monitoring of a kind of pneumatic caisson and maintenance system are provided.Make and to predict the performance of equipment, when equipment goes wrong, can monitor at the scene or by network, to pinpoint the problems in advance, take maintenance measure early,, improve the reliability and the safety of construction of construction equipment to avoid bringing loss because of equipment damages suddenly.
The present invention is achieved by the following technical solutions, the present invention includes four modules: the collecting sensor signal processing module, the pre-diagnostic module of house dog intelligence body, display module and network information processing module, the collection of collecting sensor signal processing module is installed in the sensor signal on the individual device, and sensor signal made opto-electronic conversion, analog-to-digital conversion process, signal after the conversion is as the information input of signal processing module in the pre-diagnostic module of construction equipment house dog intelligence body, the prediction of the pre-diagnostic module of house dog intelligence body and the result of assessment divide two-way to send, one the tunnel delivers to display module, network information processing module is delivered on another road, the performance state information of display module fetch equipment from the pre-diagnostic module of house dog intelligence body, the status information that shows individual device in real time, and can show customizing messages according to user's requirement, the equipment performance status information that network information module reads from the pre-diagnostic module of house dog intelligence body, send to server by network, server is responsible for preserving these information, carries out the remote monitoring and the maintenance of equipment by network for the user.
Described collecting sensor signal processing module comprises five submodules: excavator collecting sensor signal processing module, sealed door collecting sensor signal processing module, conveyor collecting sensor signal processing module, hoist engine collecting sensor signal processing module, air valve group collecting sensor signal processing module.These five sub-module hardwares constitute by data collecting card, photoelectric switching circuit, analog-to-digital conversion road, and adopt identical mode of operation, that is: acquired signal from the sensor that links to each other separately respectively, the switching signal of gathering is carried out opto-electronic conversion, the analog signal of gathering is carried out analog-to-digital conversion, and the signal after the conversion is delivered to the signal processing module in the pre-diagnostic module of house dog intelligence body.
The pre-diagnostic module of described house dog intelligence body comprises signal processing module and performance prediction module, the signal that signal processing module is sent here the collecting sensor signal processing module carries out preliminary treatment such as time frequency analysis, dimensionality reduction, Feature Fusion, pretreated data are used for performance prediction module, and performance prediction module is called based on the BP neural network algorithm of genetic algorithm and the performance of each equipment is assessed and predicted.The result of prediction and assessment delivers to display module and network information processing module.Performance prediction module is made up of excavator performance prediction module, sealed door performance prediction module, conveyor performance prediction module, hoist engine performance prediction module, five submodules of air valve group performance prediction module, and these five submodules all adopt based on the BP neutral net of genetic algorithm and the performance of each equipment is predicted and assessed.
The performance state information of described display module fetch equipment from the performance prediction module of the pre-diagnostic module of house dog intelligence body shows the status information of individual device in real time, and can show customizing messages according to user's requirement.Display module response user's requirement demonstrates the performance state of each equipment in real time on the interface.This module software adopts the .net technology, and its structure is user interface program and two parts of back-end data handling procedure, and user interface program receives user's input, calls the backstage and appears on the stage after data processor handles data, in real time the improvement of display devices state.
Described network information module comprises wireless communication module and server, the equipment performance status information that wireless communication module reads from performance prediction module, send to server by network, server is responsible for preserving these information, carries out the remote monitoring and the maintenance of equipment by network for the user.Wireless communication module mainly is made of GPRS (GPRS (general packet radio service)) wireless network card, it is responsible for sending device capability information to server, server is responsible for storing the important information and the expert decision system of relevant equipment performance, the performance state information of equipment and be stored on the server earlier from the information that manufacturer gets, other important data message also can send on the server as required, excavator working time for example, the mode of occupation of gas flow, promote the hawser mode of occupation, a situation arises etc. in each equipment fault, these data all are stored in the associated databases, constantly the data message of accumulation can carry out statistical analysis, as the foundation of further raising forecasting accuracy.
System of the present invention passes through assessment and the prediction to the performance degradation of construction equipment, and trouble-saving generation by wireless communication technique, realizes the network interconnection between field data and the server.Realize unmanned construction equipment remote monitoring of pneumatic caisson and intelligent maintenance in general, ensured the construction safety of pneumatic caisson, reduced maintenance cost, improved production efficiency, thereby reduced cost of production, improved enterprise competitiveness.
Description of drawings
Fig. 1 system of the present invention schematic block diagram
The specific embodiment
As shown in Figure 1, system of the present invention comprises: collecting sensor signal processing module, the pre-diagnostic module of house dog intelligence body, display module and network information processing module, the collecting sensor signal module is acquired signal from each sensor, and its output links to each other with signal processing module in the house dog intelligence body; Signal processing module links to each other with each performance prediction module; Each performance prediction module links to each other with wireless communication module with display module respectively; Wireless communication module links to each other with server by network.
1, collecting sensor signal processing module, the collecting sensor signal module is gathered primary signal from each sensor, handle, for the signal processing module in the house dog intelligence body provides the apparatus characteristic signal.This module is made up of excavator collecting sensor signal processing module, sealed door collecting sensor signal processing module, conveyor sensor acquisition processing module, hoist engine collecting sensor signal processing module, air valve group collecting sensor signal processing module.
A) excavator collecting sensor signal processing module links to each other with sensor on being installed in excavator, to the sensor signal that collects amplify, processing such as analog-to-digital conversion, deliver to the signal processing module in the house dog intelligence phantom piece.
B) sealed door collecting sensor signal processing module be installed in sealed door on each sensor link to each other, the sensor signal that collects is handled, deliver to the signal processing module in the house dog intelligence body.
C) conveyor collecting sensor signal processing module links to each other with each sensor on being installed in conveyor, and the sensor signal that collects is handled, and delivers to the signal processing module in the house dog intelligence body.
D) hoist engine collecting sensor signal processing module links to each other with each sensor on being installed in hoist engine, and the sensor signal that collects is handled, and delivers to the signal processing module in the house dog intelligence body.
E) air valve group sensor information acquisition processing module links to each other with each sensor on being installed in each air valve, and the sensor signal that collects is handled, and delivers to the signal processing module in the house dog intelligence body.
2, the pre-diagnostic module of house dog intelligence body, this module comprises signal processing module and equipment performance prediction module, signal processing module reads useful information from the sensor acquisition module, carry out time frequency analysis and dimension-reduction treatment, extract the needed data message of equipment performance prediction algorithm, the supply equipment performance prediction module is used; The equipment performance prediction module is called corresponding algorithm the performance of equipment is predicted, and will predict the outcome and deliver to display module and network information module.The equipment performance prediction module comprises: excavator performance prediction module, sealed door performance prediction module, conveyor performance prediction module, hoist engine performance prediction module, air valve group performance prediction module.
A) excavator performance prediction module reads data from signal processing module, adopt and based on the BP neutral net of genetic algorithm the excavator performance degradation is analyzed, and draws the performance degradation state parameter of excavator.
B) sealed door performance prediction module reads data from signal processing module, adopt and based on the BP neutral net of genetic algorithm the sealed door performance degradation is analyzed, and draws the performance degradation state parameter of sealed door.
C) conveyor performance prediction module reads data from signal processing module, adopt and based on the BP neutral net of genetic algorithm the conveyor performance degradation is analyzed, and draws the performance degradation state parameter of conveyor.
D) hoist engine performance prediction module reads data from signal processing module, adopt and based on the BP neutral net of genetic algorithm the hoist engine performance degradation is analyzed, and draws the performance degradation state parameter of hoist engine.
E) air valve group performance prediction module reads data from signal processing module, adopt and based on the BP neutral net of genetic algorithm air valve group performance degradation is analyzed, and gets the performance degradation state parameter of air outlet valve group.
More than each parameter divide two-way, the one tunnel gives display module; Wireless communication module is delivered on another road.
3, display module, display module adopts the .net technology, reads the state parameter of each equipment in the performance prediction module from house dog intelligence body, and shows on screen, simultaneously also will be as human-computer interaction interface, response user's operation.
4, network information processing module comprises wireless communication module and server, the data that wireless communication module obtains from the equipment performance prediction module are through being wirelessly transmitted on the server, wireless communication module is made of GPRS (GPRS (general packet radio service)) wireless network card, and the GPRS advantage has: wireless transmission (this point is even more important for the place that such being difficult in construction site is equipped with spider lines), transfer rate height, turn-on time is short, resource utilization is high, expense is cheap, always online whenever and wherever possible.Server is responsible for storing the important information and the expert decision system of relevant equipment performance, the performance state information of equipment and be stored on the server earlier from the information that manufacturer gets, other important data message also can send on the server as required, and server also will be accepted user's visit simultaneously.
Claims (3)
1, unmanned construction equipment remote monitoring of a kind of pneumatic caisson and maintenance system is characterized in that comprising four modules: collecting sensor signal processing module, the pre-diagnostic module of house dog intelligence body, display module and network information processing module; The collection of collecting sensor signal processing module is installed in the sensor signal on the individual device, and sensor signal made opto-electronic conversion, analog-to-digital conversion process, signal after the conversion is as the information input of signal processing module in the pre-diagnostic module of construction equipment house dog intelligence body, the prediction of the pre-diagnostic module of house dog intelligence body and the result of assessment divide two-way to send, one the tunnel delivers to display module, network information processing module is delivered on another road, the performance state information of display module fetch equipment from the pre-diagnostic module of house dog intelligence body, the status information that shows individual device in real time, and can show customizing messages according to user's requirement, the equipment performance status information that network information module reads from the pre-diagnostic module of house dog intelligence body, send to server by network, server is responsible for preserving these information, carries out the remote monitoring and the maintenance of equipment by network for the user; Wherein:
Described collecting sensor signal processing module comprises five submodules: excavator collecting sensor signal processing module, sealed door collecting sensor signal processing module, conveyor sensor acquisition processing module, hoist engine collecting sensor signal processing module, air valve group collecting sensor signal processing module, five sub-module hardwares are by data collecting card, photoelectric switching circuit, the analog-to-digital conversion road constitutes, and adopt identical mode of operation, that is: acquired signal from the sensor that links to each other separately respectively, the switching signal of gathering is carried out opto-electronic conversion, the analog signal of gathering is carried out analog-to-digital conversion, and the signal after the conversion is delivered to the signal processing module in the pre-diagnostic module of house dog intelligence body;
The pre-diagnostic module of described house dog intelligence body comprises signal processing module and performance prediction module, the signal that signal processing module is sent here the collecting sensor signal processing module carries out time frequency analysis, dimensionality reduction, Feature Fusion preliminary treatment, pretreated data are used for performance prediction module, and performance prediction module is called based on the BP neural network algorithm of genetic algorithm and the performance of each equipment is assessed and predicted; Performance prediction module is made up of excavator performance prediction module, sealed door performance prediction module, conveyor performance prediction module, hoist engine performance prediction module, five submodules of air valve group performance prediction module, and these five submodules all adopt based on the BP neutral net of genetic algorithm and the performance of each equipment is predicted and assessed.
2, unmanned construction equipment remote monitoring of the pneumatic caisson described in claim 1 and maintenance system, it is characterized in that, the performance state information of described display module fetch equipment from the performance prediction module of the pre-diagnostic module of house dog intelligence body, the status information that shows individual device in real time, and can show customizing messages according to user's requirement.Display module response user's requirement demonstrates the performance state of each equipment in real time on the interface.
3, unmanned construction equipment remote monitoring of the pneumatic caisson described in claim 1 and maintenance system, it is characterized in that, described network information module comprises wireless communication module and server, the equipment performance status information that wireless communication module reads from performance prediction module, send to server by network, server is responsible for preserving these information, carries out the remote monitoring and the maintenance of equipment by network for the user.
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| CNB2005100250597A CN100347381C (en) | 2005-04-14 | 2005-04-14 | Remote monitoring and maintaining system of pneumatic paisson unmanned construction equipment |
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| CNB2005100250597A CN100347381C (en) | 2005-04-14 | 2005-04-14 | Remote monitoring and maintaining system of pneumatic paisson unmanned construction equipment |
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Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100465999C (en) * | 2006-10-26 | 2009-03-04 | 上海交通大学 | Caisson 3D scene rebuilding and excavator collision avoidance system based on laser scanning |
| CN101158162B (en) * | 2007-11-02 | 2010-11-03 | 上海市基础工程有限公司 | Unmanned pneumatic caisson construction process |
| CN101871215B (en) * | 2010-05-07 | 2011-12-14 | 上海建工（集团）总公司 | Self-adaptive real-time compensation system for steel support axial force during deep foundation ditch construction and method thereof |
| CN102195976A (en) * | 2011-04-12 | 2011-09-21 | 宁波弘讯科技有限公司 | Industrial equipment maintenance and service system |
| CN115002169A (en) * | 2022-08-04 | 2022-09-02 | 深圳市共赢晶显技术有限公司 | Remote online monitoring method for office equipment |
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| JPH01165823A (en) * | 1987-12-21 | 1989-06-29 | Mitsui Constr Co Ltd | Displayer for attitude of excavation shovel for pneumatic caisson |
| JPH04136320A (en) * | 1990-06-19 | 1992-05-11 | Daiho Constr Co Ltd | Remote control method for caisson drilling machine |
| JPH11152754A (en) * | 1997-11-21 | 1999-06-08 | Shiraishi Corp | Pneumatic-caisson settlement excavation method |
| CN1472671A (en) * | 2003-06-19 | 2004-02-04 | 上海交通大学 | Method for apparatus status monitoring and performance degenerate fore casting based on network |
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Patent Citations (4)
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|---|---|---|---|---|
| JPH01165823A (en) * | 1987-12-21 | 1989-06-29 | Mitsui Constr Co Ltd | Displayer for attitude of excavation shovel for pneumatic caisson |
| JPH04136320A (en) * | 1990-06-19 | 1992-05-11 | Daiho Constr Co Ltd | Remote control method for caisson drilling machine |
| JPH11152754A (en) * | 1997-11-21 | 1999-06-08 | Shiraishi Corp | Pneumatic-caisson settlement excavation method |
| CN1472671A (en) * | 2003-06-19 | 2004-02-04 | 上海交通大学 | Method for apparatus status monitoring and performance degenerate fore casting based on network |
Non-Patent Citations (2)
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| 基于嵌入式智能代理的适应式远程诊断技术 周晓军，奚立峰，李杰.计算机集成制造系统，第10卷第8期 2004 * |
| 面向智能维护的嵌入式无线预诊断智能体技术 张蕾，曹其新，李杰，张春余，张静永.机械设计与研究，第20卷第2期 2004 * |
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