CN1195358C - Intelligent engineering machinery fault diagnosing system based on networked movable operation machines - Google Patents

Abstract

The present invention relates to an intelligent diagnosing system for engineering machinery based on a network mobile operation machine group. The fault information is analyzed, the failure reason is judged, the processing opinion is put, and the down time is predicted. The failure reason and the processing opinion are sent to a single machine controller to guide operators to operate. The present invention judges the influence of the fault on the construction of the machine group according to right values of the machine type with fault occurrence in the machine group, right values of fault positions on a single machine and right values of the fault degree, and the information is sent to a dispatching system of the machine group. The single machine is provided with an intelligent monitoring and diagnosing subsystem, and is connected with a mobile communication module. The machine group is provided with a fault diagnosing system of an upper monitoring and diagnosing center, and is connected with the mobile communication module. The present invention carries out data exchange through a global system for mobile communication (GSM) / general packet radio service (GPRS) wireless communication network, and thus, a distributed and layered type intelligent diagnosing system is formed. The present invention has the advantages of easy construction, low cost, practicality and reliability, can generally and accurately report operating states of the mobile operation machine group in real time, and solve the problem that fault diagnosis expert systems are utilized on mobile operation devices.

Description

Mobile operating group of planes engineering machinery intelligent fault diagnostic system Network Based

Technical field

The invention belongs to machine-building and automatic technology, equipment condition monitoring and fault diagnosis technology field, particularly a kind of based on network group of planes engineering machinery fault diagnosis system.It is object with equipment and colony thereof that equipment condition monitoring and fault diagnosis expert system are one, is based upon the comprehensive cross discipline on the modern science and technology bases such as detection technique, message transmission, signal processing, identification theory, artificial intelligence, forecast decision-making.

Group of planes intelligent engineering machinery is object with the Expressway Construction engineering, adopt telecommunication technology, information technology, computer technology, sensor technology, intelligent control technology etc., research is by the intelligent monitoring control and the Construction control optimizing scheduling technology of group of planes that unit is formed such as pitch mixing apparatus, paver, vibrated roller, loading machine and dump truck.The group of planes intelligent control system that development has independent intellectual property right and international most advanced level improves the intelligent degree of a group of planes, in the Expressway Construction process, realizes the purpose of construction most optimum distribution of resources, optimum process quality, high workload efficient synchronously.

The main task of group of planes intelligent engineering mechanical fault diagnosis system is that construction machine is implemented condition monitoring and fault diagnosis, and the failure judgement reason provides the maintenance process suggestion; The evaluation fault type and the fault order of severity are for the analysis of group of planes equipment state provides foundation; The prediction fault power time is for the scheduling of group of planes Dynamic Construction provides foundation.

Background technology

Since the nineties, the development of automatic electronic technology, electrohydraulic control technology and in the progressively application of construction machinery industry, particularly introduction, digestion, the absorption of foreign project machinery advanced technology and product, and research and the application of national 863 Program Robotics on the engineering machinery unit, China's engineering machinery develops towards the high-tech direction day by day.The importance of engineering machinery in engineering construction; in case and the massive losses that brings to construction enterprises of disorderly closedown; recognize the importance of carrying out engineer machinery diagnosis technical research, the maintenance of implementation state in mechanical execution industry, engineering machinery manufacturing industry and R﹠D institution, promoted the research and development process of engineering machinery unit diagnostic techniques.The engineering machinery prison is examined system type (the loyal Li Yu plum of Li Xue EMS-A type electronic monitor engineering machinery .1990 at present, the strong Sun Yong of 21 (9) .4-6 Yang Xiao contains engineering machinery duty parameter microcomputer Monitoring System building machinery .1998, (8) .46-48 Wang Guoqing relies Zhong Ping engineering machinery fault diagnosis expert system road building machine and mechanization of building operation 1998, (2) the condition monitoring and fault diagnosis engineering machinery 2001 of the few civilian worker's journey machinery in .16-17 field, it is the remote failure diagnosis system architectural studies computer application .2001 of east based on multi-Agent that 32 (1) .26-30 Li Hong give birth to the firm king of Liu Jun, the flat fault fuzzy diagnosis of 21 (8) the grandson's .9-13 people's livelihood Chen Ji expert system FFDES journal .1994 of University of Science ﹠ Technology, Beijing, 16 (11) .39-41) mainly contain following several:

(1) keypoint part on unit is provided with transducer, configuration electronic monitor (instrument), structure electronic supervisory system.Realize monitoring of working condition and carry out online fault alarm.

(2) electronic supervisory system is realized monitoring of working condition, fault alarm, and can store data, carries out communication with portable microcomputer (repeater) afterwards, realizes the off-line fault analysis and diagnosis.

(3) based on the fault diagnosis expert system of knowledge, but standard rule, expertise knowledge and the fuzzy diagnosis knowledge etc. that form with the relation between engineering mechanical equipment fault pattern, sign and the reason in advance are configured to the diagnostic expert system of reasoning.Be applied to the overhaul of the equipments place, by the form of man-machine interaction, expert system is obtained failure symptom, carries out the off-line analysis diagnosis.

(4) be applied to the monitoring car of construction site, can realize status monitoring and intelligent trouble diagnosis, the function that prison is examined system can obtain bigger raising, and when implementing monitoring, diagnosing, construction equipment needs the suspension of engineering work operation.

(5) equipment, supervisory control system, diagnostic system and the user who helps being distributed in different regions based on the remote failure diagnosis system of multi-Agent connects, and forms dynamic remote monitoring network.

Several problems and main difficulty that above-mentioned achievement in research is used for the existence of a mobile operating group of planes are:

(1) electronic monitor mode.Only can monitor and overload alarm the state parameter of unit.Can not store data; Can not be further analyzed processing; Monitor can not collect the more equipment state information.

(2) form of portable microcomputer (repeater).The electronic monitoring data are entered into repeater, need manually carry repeater to office's analyzing and processing.Be a kind of diagnostic mode of off-line, real-time is poor, and the immesurable important information of the transducer that occurs in the equipment construction operation can not enter analytical system, has reduced diagnostic function.

(3) based on the microcomputer diagnostic expert system mode of knowledge.Influence construction operation, be not suitable for working at the construction field (site); Can not directly monitor the state information of plant equipment, be difficult to realize forecast mechanical breakdown.

(4) engineering machinery monitoring maintenance vehicle mode.The installation monitoring facilities that need stop during monitoring, diagnosing influences construction progress; And can not realize that the online equipment state of work progress monitors; Monitoring maintenance vehicle cost height is difficult to promote.

(5) above-mentioned achievement in research lacks the firsthand information of remote in-service monitoring and group of planes state only at unit, is difficult to the management and the Real-Time Scheduling of science that a group of planes is carried out.Based on the present research that yet just is limited to system architecture of the remote failure diagnosis system of multi-Agent, do not reach the degree of practical application as yet.

Towards concrete engineering duty, construction machine is implemented condition monitoring and fault diagnosis, failure judgement type, reason, position, the order of severity, the research that aspects such as foundation are provided for the construction machine dispatching management is state-detection, fault diagnosis field frontier nature problem.The main difficulty (bottleneck) of its research and development is: the abominable of the complexity of engineering machinery structural complexity, fault cause, the mobility of operation, operational environment and prison examined the economy requirement of system, the work that makes foundation examine system based on the real-time intelligent prison of large database is difficult to realize.

Intelligent trouble diagnosis is the developing direction of current failure diagnosis, aspect mechanical intelligence Research on fault diagnosis method and Application and Development, and at present the employing based on the method for expert system (ES) with based on the method for artificial neural net (ANN) etc. more.Because the complexity of the diversity of engineering machinery fault, sudden, the origin cause of formation and carry out the dependence of the needed knowledge of failure diagnosis to domain expert's practical experience and diagnosis strategy, intelligentized fault diagnosis system is particularly important to engineering machinery.Intelligent diagnosis system is by hardware and necessary external equipment, the various transducer of people (especially domain expert), modern simulation brain function and support the system that the software of these hardware is formed.

The most key work of the intelligent diagnostic expert system of a group of planes is based on network fault diagnosis expert system architecture of structure and obtaining and expressing the complex engineering mechanical knowledge.Aspect expert system system structure,, but do not see as yet that for the exploitation of the large-scale complex fault diagnosis expert system towards Engineering Machinery of Cluster Network Based report is arranged at present at the more existing development and application of the expert system of engineering machinery unit.

Aspect knowledge acquisition and expression, the monitor and diagnosis expert system based on knowledge can roughly be divided at present: based on the diagnostic reasoning system of shallow knowledge (human expert's Heuristics); Based on the diagnostic reasoning system of knowing very well knowledge (model of diagnosis object, principle knowledge); The hybrid diagnosis inference system of depth knowledge combination etc.

Based on the fault diagnosis system of shallow knowledge is that enlightening Heuristics with domain expert and operator is a core, by deducting or diagnostic result is obtained in the production reasoning, its objective is that seeking a failure collection makes it the reason that set produces to a given sign (comprise existence with absence) and make best interpretations.In its reasoning process, generally to use two class knowledge, a class is to express the causality symbol knowledge of getting in touch between fault and the sign; One class is the numerical value sex knowledge that causality is set up degree between reflection fault and sign (ambiguity tolerance, a degree of belief, may spend etc.).Generally express shallow knowledge, have advantages such as knowledge representation is directly perceived, unity of form, modularity is strong, inference speed is fast based on the diagnostic reasoning of shallow knowledge with production rule.But because the complexity and the fault of equipment, this method is difficult to the fault diagnosis field knowledge of complete representation diagnosis object, causes the knowledge collection incomplete, causes diagnosis to be difficult to draw conclusion accurately, sometimes even can not get conclusion.

Be meant that based on the fault diagnosis system of knowing very well knowledge the notion of knowing model is known very well in introducing in expert system, what is called is known very well knowledge, is to use the knowledge of structure, performance and the function of diagnosis object, utilizes collision detection and candidate's generating technique, obtains the position that fault takes place.Owing to know very well to know and delineated principle and functional knowledge in the specialized field, more profoundly understand the interaction between domain object and the object, so when running into the new situation of expecting at the end, can solve problem, be unlikely to make reasoning to fall flat at least according to abundant Qualitative Knowledge.In addition, it can provide more compellent explanation to people, generally expresses knowledge with framework or semantic network etc.But this knowledge model also has its shortcoming, because the restriction of hardware condition is not really high based on the Reasoning Efficiency of knowing very well knowledge, usually can not satisfy people's requirement.Owing to will carry out the knowledge description of deep layer, in conjunction with the characteristics and the level of fault, knowledge body is bulky complex very, and search is very time-consuming in such knowledge base.

Above-mentioned two kinds of models respectively have its advantage, and its weak point is also arranged, if these two kinds of models are combined, enable to send out the advantage of visiting separately, overcome its shortcoming, learn from other's strong points to offset one's weaknesses mutually, and people begin to adopt the hybrid knowledge inference strategy.Generally speaking, the domain expert at first uses shallow knowledge, finds the approximate solution of diagnosis problem, uses the knowledge of knowing very well of diagnosis object then, obtains the exact solution of diagnosis problem.In the complex device failure diagnosis, have only basic principle with diagnosis object to combine and to solve diagnosis problem better with expert's Heuristics.Improve the quality and the efficient of diagnosis in this way, adopted by more expert system.

Because the complexity (machine of engineering machinery structure,, liquid, instrument is integrated), uncertainty (the load transient changing of construction load, impact shock, complete machine speed change mobile operating), (the vibration of the abominable of working environment, noise, humidity, temperature, dust), cause the diversity of engineering machinery fault, sudden, the complexity of the origin cause of formation, also there are problems such as cooperative scheduling simultaneously between intelligent each the engineering machinery unit of diagnostic system of a group of planes, make the engineering machinery fault diagnosis system have higher requirement to the expression of domain expert's practical experience knowledge and diagnosis strategy, single Knowledge Representation Method is difficult to meet the demands.

Summary of the invention

The object of the present invention is to provide a kind of based on network, practical, powerful, employing group of planes intelligent engineering mechanical fault diagnosis multiple diagnostic mode, that can improve efficiency of construction system.

The present invention is realized by following technical proposals: a kind of mobile operating group of planes engineering machinery intelligent fault diagnostic system Network Based comprises: the mobile operating group of planes equipment prison based on the distributed-hierarchical formula of GSM/GPRS net is examined system architecture and system platform; Between unified management at the construction field (site) and single-set operation, control, maintenance, the adjustment working in dispersion, structure is concentrated supervision, diagnostic analysis and group of planes equipment condition monitoring and fault diagnosis system that decentralized supervision, operation combine, it is characterized in that: this diagnostic system examines subsystem by unit intelligence prison and the group of planes prison center of examining is formed; Above-mentioned unit intelligence prison is examined subsystem and is examined device transducer, the real-time buffer of failure symptom state information, fault message transmission/reception GSM port, unit fault message decoder/encoder and unit mobile communication module and constituted by embedded microprocessor, unit fault message input device, unit controller indirect sensors, unit intelligence prison; Above-mentioned group of planes prison is examined the center and is monitored that by microprocessor inference engine of expert system, upper system mobile communication module, upper system fault message decoder/encoder, a group of planes equipment state buffer, group of planes device status data memory and knowledge base memory constitute; Diagnostic result information that unit prison is examined the information transmission that subsystem and group of planes prison examine the center and comprised that information is up---unit state and fault message are examined subsystem by the unit prison and be sent to group of planes prison and examine the center, and information is descending---is sent to unit by the group of planes prison center of examining and supervises and examine subsystem; The up process of information: the unit prison is examined state and the fault message that subsystem obtains the engineering machinery unit in real time, communication module is regularly delivered in the encoded back of these information, and be sent to group of planes prison by it by the GSM/GPRS wireless network and examine the center, after group of planes prison is examined center communication module acquisition unit state and fault message, put into the data buffer zone, then it is decoded, when finding to have fault to occur, the startup expert system is analyzed, reasoning, obtains diagnostic result; The descending process of information: encode to diagnostic result in the group of planes prison center of examining, it is to be sent to deliver to data buffer zone etc., communication module is sent to each unit with the diagnostic result information after encoded by the GSM/GPRS network successively, the unit prison is examined subsystem and is obtained to decode behind the diagnostic result by communication module, then diagnostic result information is presented on the LCD LCDs and offers the operator.

Above-mentioned mobile operating group of planes engineering machinery intelligent fault diagnostic system Network Based is characterized in that: unit intelligence prison is examined the hardware platform that the unit intelligence prison of constructing in the man-machine symbiosis mode that subsystem hardware is based on embedded microprocessor is examined subsystem; On embedded microprocessor, connect:

Realize RS-232/CANbus interface with GSM/GPRS module serial communication;

Realize the I/O interface of engineering machinery state parameter sensor signal conversion;

Realize CANbus bus with the transmission of engineering machinery unit controller data;

Realize application software, the data upload/following USB port that passes;

Realize the typing of man-machine symbiosis failure symptom, receive keypad, display lcd and interface thereof that the upper strata prison is examined system command information;

Prison is examined the memory and the hard disk of systems soft ware and database.

Use the diagnostic method of above-mentioned mobile operating group of planes engineering machinery intelligent fault diagnostic system Network Based, it is characterized in that comprising following content:

Fault diagnostic program: the extraction of measuring point state parameter, input, data communication, the processing of parameter overload alarm, sign extraction, failure diagnosis, the analysis of causes and treatment measures;

Fault diagnosis reasoning;

The computer prison system of examining that prison is examined the center by touring scan mode to the execution of the unit in group of planes diagnosis algorithm is:

(1) when gating equipment i, promptly state and the failure symptom information that receives this equipment by the GSM port is upstream data;

(2) after system call data link protocol standard is decoded, send diagnostic expert system, diagnose, reasoning, analysis;

(3) expert system is called knowledge base, database, and fault message is carried out analyzing and diagnosing, draws the diagnostic result data;

(4) diagnostic result one tunnel send monitor to show, the one tunnel delivers on i the unit GSM port behind the data link protocol coding, instructs this equipment operation, has finished the prison of this equipment and has examined task;

(5) counter adds 1 automatically, points to next device, repeats (1)～(4) process, till the whole n platform of the traversal group of planes equipment, thereby has finished the work that a prison is examined the cycle;

(6) pressing the clock cycle repeats (1)～(5) process, moves in circles, goes round and begins again, and has realized mobile operating group of planes condition monitoring and fault diagnosis task;

Unit fault diagnosis subsystem function operation flow process is:

(1) stand-alone device monitoring of working condition and fault alarm:

Under multiple task real-time operation system (RTOS), the first floor system primary control program reads the sensor signal that directly monitors and comes from the indirect monitoring signal of RS232 or CANbus bus, on screen, show these state parameters, and with this machine data storehouse in corresponding normal condition parameter value relatively, if surpass prescribed limit, then start the fault alarm program, realize acousto-optic, literal, image alarm, remind the operator;

(2) adopt the man-machine symbiosis mode, obtain status information of equipment:

The mode of status information of equipment is obtained in people-operator, machine-transducer cooperation jointly, and the keypad that the typing of operator's failure symptom is made up of display screen, several special operational key, handwriting input device, sign select the typing module to form;

Failure symptom selects the typing module to be made up of recording program and failure symptom database; Recording program and failure symptom database all comprise system, parts, element composition according to the plant equipment hierarchical structure; When operator's discovering device is undesired, touch prison and examine the device keypad button, system is in observation process, continuous scanning keypad when receiving artificial input instruction, starts the failure symptom recording program, transfer the failure symptom database, according to the possible failure symptom of form demonstration of tree;

To the fault of typing not as yet in the database, adopt on-the-spot interim handwriting mode input; For this new failure symptom, after first floor system passed to the upper strata, the knowledge that will be made new advances by domain expert's analytic induction was added in the expert system knowledge base, upgrades the failure symptom database simultaneously;

(3) the GSM/GPRS wireless data of status information of equipment sends:

According to the gerentocratic requirement of upper system, determine the clock cycle T of up-downgoing data; By this clock, system will start GSM/GPRS wireless data router, the state information of finishing through monitoring facilities that derives from three aspects, according to upper base interlayer data link protocol, convert corresponding number to, be sent to upper system by transmit port by GSM/GPRS wireless data router;

(4) receive the result that the upper strata fault diagnosis system transmits:

First floor system is in real-time observation process, constantly scan GSM/GPRS Data Receiving port, when triggering signal, system will start GSM/GPRS Data Receiving program and receive the information that send on the upper strata, again according to data link protocol, examine result database by prison and convert the character string text to, on display, show, instruct the Field Force that equipment is keeped in repair, adjusts;

The method of monitoring fault message is to use unit intelligence prison to examine the transducer that subsystem is used, and obtains the information of following two aspects, offers diagnostic expert system:

(1) utilize the control monitor signal of mobile operating plant equipment, construction machinery electronic monitoring systems is at carrying out such as engine, hydraulic system, and these parameters that are used to control can reflection system part working conditions;

(2) increase the characteristic parameter that is easy to measure in each system, characterize the machine abnormal conditions, as temperature, pressure, rotating speed.

The used diagnostic system knowledge of above-mentioned diagnostic method:

1. the classification of diagnostic knowledge

Failure diagnosis relates to many-sided factor, has wherein both comprised the knowledge of equipment aspect, also contains people's Heuristics, and the design with diagnostic system simultaneously also is undivided.The knowledge in a field generally can be divided into two big classes: a general character knowledge and a sex knowledge.General character knowledge comprises definition relevant with problem in the field, the fact and various theory, method, and this knowledge has been that the common agreement of the professional in the field is accepted with consistent, and it belongs to the common-sense of problem solving and the knowledge of principle.And individual sex knowledge mainly is meant the human expert, the characteristics of bonding apparatus failure diagnosis, the heuristic knowledge (it comprises human expert's the cognitive ability and the experience of physical fault diagnosis) of utilizing general character knowledge to deal with problems, native system is divided into following a few class with the scope of diagnostic knowledge:

1) equipment knowledge

Equipment knowledge mainly is meant model, structure composition and the operational environment thereof etc. of equipment.Device structure knowledge is meant the formation of equipment and being connected of system.For the engineering machinery construction machine, equipment knowledge is meant model, structure composition and the arrangement between them of units such as loading machine, mixing plant, paver, road roller, always with its function interwoveness, the relation and the characteristic of these complexity are embodied in the functional knowledge their operational environment again.

2) failure mechanism knowledge

Failure mechanism is meant the rule of equipment fault formation and development.In general, equipment fault mechanism often will relate to the feature that the reason of device fails, the consequence that fault is brought and the front and back equipment list that breaks down reveal.Also relate to take which type of measure in some cases, take place to prevent this type of fault.

3) algorithm knowledge (process algorithm knowledge)

Algorithm knowledge is meant by mathematical operation, bonding apparatus feature, thereby the knowledge of aspects such as realization feature extraction, parameter recognition.Specifically, be the data (signal) that measuring instrument, analytical instrument are obtained to be carried out parameter transformation handle, thereby can carry out equipment fault diagnosis.

4) people's Heuristics

Heuristics is meant what domain expert or operations staff accumulated in long-term failure diagnosis practice, about how to use observed behavioural characteristic (failure symptom) come to fault guess, the knowledge of positive and negative two aspects such as judgement, identification, checking and elimination.A kind of dynamic knowledge of also can saying so, it has illustrated and how to have used existing data and static knowledge that (in the field relevant principle, definition, the fact and relation etc.) solve problem, or reaches finding the solution of problem.It is a kind of individual character inferenctial knowledge, perhaps is called personalized heuristic knowledge.

5) background knowledge

Background knowledge is meant and equipment fault diagnosis, relevant current and all specific environmental agents of past of monitoring system.As device fabrication, installation, overhaul situation etc., also has the knowledge of the case history aspects such as (once fault of Fa Shenging and respective handling results) of equipment.

6) unit's level knowledge

Unit's level knowledge is meant " about the knowledge of knowledge ".Just refer to how to use effectively in diagnostic procedure the knowledge of all kinds of knowledge, it mainly is the utilization strategy that is used for coordinating and controlling different types of knowledge, the i.e. inference method of problem solving.It is the core of human cognitive activity's (memory, reasoning, understanding, study).

2. the expression of failure diagnosis knowledge

OO Knowledge Representation Method provides the mechanism that descriptive knowledge and procedural knowledge are expressed as an organic whole.In the expert system knowledge of the present invention's exploitation is expressed, with the failure diagnosis object is central tissue's KBS structure, with the object is the elementary cell of knowledge representation, with multiple single knowledge representation mode as rule, framework, process etc., form a kind of mixed mode by OO thought, it promptly is the center with the object, relevant knowledges such as its attribute, dynamic behaviour and processing procedure are encapsulated in the structure of object, object occurs with the frame form, its attribute then represents with frame slot, as shown in Figure 4.

In Engineering Machinery of Cluster intelligent trouble diagnosis system, the expression of knowledge adopts the object oriented framework knowledge-representation language to express.Being expressed as follows of all kinds of diagnostic knowledges, wherein background knowledge, failure mechanism knowledge mainly are expressed in the attribute groove, functional knowledge and Heuristics mainly are expressed in the production rule groove, and process algorithm knowledge and unit's level knowledge are then expressed by diagnostic reasoning and control strategy in the method groove.

The beneficial effect that the present invention produces

Group of planes intelligent engineering mechanical fault diagnosis system can realize real-time monitoring and the intelligent trouble diagnosis to construction machine; at any time provide serviceability rate, preventive maintenance schedule and the maintenance policy thereof of construction equipment by diagnostic system; improve usage ratio of equipment; the maintenance cost of reduction equipment; improve efficiency of construction, reduce the massive losses that the construction machinery disorderly closedown causes to construction enterprises.

System is easy to structure, and is practical, realized that fault diagnosis expert system is mobile operating applying mechanically.Utilize GSM/GPRS public mobile communication net to realize the remote-wireless communication of machine performance information, solved mobile operating machine performance transmission of Information.This net broad covered area, opening is strong, with low cost, data transmission rate is high.Utilize the big capacity of computer, high-speed, multi-functional characteristics, set up group of planes fault diagnosis expert system, realize concentrated diagnosis, the analysis of group of planes equipment state.Tens of equipment of a construction work, the diagnostic expert system that only needs a cover to concentrate.

System adopts the architecture based on the distributed-hierarchical formula of GSM/GPRS net, diagnosis is divided into double-layer structure up and down, complicated monitoring and diagnostic task are decomposed earlier in a plurality of intelligent subsystems, finish separately corresponding task by subsystem, comprehensively judge again by the upper strata diagnostic system then, make corresponding decision-making, improved the real-time and the reliability of system.

On method for diagnosing faults, that system has adopted is rule-based, based on framework, based on example with based on the multiple inference strategy of method, and interchange, the transmission of data message are provided, and has strengthened the ability that problem is found the solution by system.

The mechanism of face phase object and the method for modular construction have been adopted in the design of system, make the function expansion of system be more prone to, make things convenient for.Change under the situation of program structure not needing, be easy to increase new function.

Though the present invention is at the Device Diagnostic of road construction Engineering Machinery of Cluster and develop, it doesn't matter for its technology contents and road construction engineering, only relevant with structure, performance, the intelligent monitor system of construction machinery.The present invention is applicable to the group of planes (as: cubic metre of earth and stone construction work machinery, building machinery, mining machinery etc.) of other mobile operating constructions fully.

Description of drawings

Fig. 1 is based on a GSM/GPRS group of planes and concentrates prison to examine the compartment system formation; Fig. 2 is a group of planes intelligent engineering Mechanical Fault Diagnosis Expert System hardware architecture; Fig. 3 is the structure of unit bottom intelligent monitor; Fig. 4 is that object knowledge oriented is expressed model; Fig. 5 is based on GSM cluster network distributed-hierarchical prison and examines system's operational process; Fig. 6 is that bottom detects the diagnostic system workflow; Fig. 7 is that group of planes intelligent engineering Mechanical Fault Diagnosis Expert System structure is formed; Fig. 8 is the structure and the function of paver unit subsystem; Fig. 9 is the structure and the function of loading machine unit subsystem; Figure 10 is the structure and the function of road roller unit subsystem; Figure 11 is an expert system building tool; Figure 12 is the knowledge source file management system; Figure 13 is that knowledge base structure is browsed; Figure 14 is system's runnable interface and running example; Figure 15 is the composition structure of knowledge base.

Embodiment

The hardware (Fig. 3) of having constructed group of planes intelligent engineering Mechanical Fault Diagnosis Expert System hardware architecture (Fig. 2) and unit bottom intelligent monitor is as mentioned above constructed the general frame of examining system architecture and system platform (Fig. 1) based on GSM/GPRS mobile operating group of planes equipment prison net, the distributed-hierarchical formula afterwards.On this basis, structure fault diagnosis expert system.

1. group of planes intelligent engineering Mechanical Fault Diagnosis Expert System structure is formed

Group of planes intelligent engineering Mechanical Fault Diagnosis Expert System structure is formed as shown in Figure 7.

The center expert system examined by group of planes prison and each unit intelligence prison is examined between the subsystem, on integral layout and function, system construction is become distributed frame, each unit intelligence prison is examined the subsystem emphasis and is finished obtaining of status information of equipment (fault signature signal), and prison is examined center expert system emphasis execution unit state and concentrating again of fault message handled.

From group of planes manager, single-set operation person's actual needs, the system of examining is divided into two levels from performance with group of planes prison, that is: upper strata (prison is examined the center expert system) and bottom (each unit intelligence prison is examined subsystem).Manager's requirement is satisfied on the upper strata, can monitor the operating condition of each unit at any time, and a situation arises to analyze, diagnose, forecast each unit fault, and send dispatch command to the single-set operation person, or the suggestion of maintenance of equipment, adjustment measure is provided.Bottom satisfies operator's requirement, and the operating condition of real time monitoring unit is sent the indication of reporting to the police to the operator under the abnormal conditions, and accepted the unusual condition (failure symptom) that the operator perceives.Further, receive group of planes prison and examine dispatch command or the suggestion that send at center (manager).The upper strata needs powerful analytic function, and bottom needs the fast reaction function.The processing cycle of considering the upper strata in the net structure is that minute level (as 1～2 minute) can satisfy manager's requirement under the computer configuration of less expensive and mobile communication speed, and the processing cycle of bottom is a few tens of milliseconds level.

Aspect the failure diagnosis information transmission, from the demand of expert system, Jian Ce information is The more the better in theory, but on-the-spot realization and cost factor do not allow to do like this.The present invention considers that unit intelligence prison examines subsystem and obtain the information of following three aspects with the method for transducer and non-transducer (people's perception), offers diagnostic expert system.

(1) utilize the control monitor signal of mobile operating plant equipment, construction machinery electronic monitoring systems is at carrying out such as engine, hydraulic system.These parameters that are used to control can reflection system part working condition.

(2) increase the characteristic parameter that is easy to measure in each system, characterize the machine abnormal conditions, as temperature, pressure, rotating speed etc.

(3) some important failure symptom can be judged with experience, as the engine over-emitting black exhaust, and gearbox shriek, phenomenons such as operating efficiency reduction, device operator can in time perceive intuitively, and is then relatively more difficult with sensor monitors.The failure symptom that the present invention makes full use of execute-in-place person's sense organ perceives is as another part state information of equipment state analysis, failure diagnosis.

Unit intelligence prison is examined each parameter operating condition that subsystem is wanted the real time monitoring unit, sends the indication of reporting to the police to the operator under the abnormal conditions.Simultaneously, also want to receive group of planes prison and examine the dispatch command that send at center (manager).26S Proteasome Structure and Function such as Fig. 8 of unit intellectual monitoring subsystem are shown in 9,10.

2. knowledge acquisition and management maintenance

The key that expert system is set up is that obtaining with knowledge storage of knowledge manage.Knowledge resource rationalizes, and effective Knowledge Management System is set up in knowledge resource simplification, standardization and standardization, be convenient to knowledge storage, inquire about and obtain, realize sharing of knowledge resource.Constitute by knowledge base source file editing machine, compiler and project knowledge storehouse device, knowledge base inquiry and browser.

The basic structure of knowledge base management system comprises knowledge base source file editing machine, compiler and project manager, external procedure Program Manager as shown in figure 11.

1) knowledge base source file editing machine: provide knowledge editor (Figure 12) for describe the knowledge base source file with the object oriented framework linguistic form.

2) knowledge base source file compiler: the external knowledge storehouse source file of describing with the object oriented framework linguistic form is compiled into the inner knowledge base of expressing with binary tree.

3) project manager:, comprise increase, deletion and the modification of blocks of knowledge to administering and maintaining of a plurality of object frameworks (blocks of knowledge).Single blocks of knowledge can be connected into utilizable knowledge base integral body by frame attacher.External Program Interface by system provides can also couple together external procedure, uses for reasoning.

4) external procedure Program Manager: the external procedure Program Manager is responsible for the knowledge base inquiry and is browsed, and the knowledge query function comprises static inquiry and dynamic queries.Describe knowledge base structure in tree-shaped mode, provide knowledge base structure to browse (Figure 13).

3. system moves and realizes function

After construction machinery produces fault, by accident warning device on the unit or artificial fault prompting fault message is sent to group of planes central authorities construction real-time monitoring system, start group of planes engineering mechanical device status monitoring fault diagnosis system then, be system's runnable interface as shown in figure 14, in the left side at interface is system operation control area, can manage construction machinery unit and unit formation subsystem knowledge base, reasoning process is controlled, the right side is the system operation area.

Running below by an example illustrative system, when the loading machine engine occurs starting fault, choose loading machine as shown in figure 12, eject a submenu below, comprise engine, hydraulic system, drive system, braking system, steering and electric system.Click engine, first window of right side can be listed the various phenomena of the failure that engine may occur, the phenomenon of the failure that monitors according to group of planes construction real-time monitoring system, select " can not start ", preliminary judgement can occur at second window, further select phenomenon of the failure, by the integrated use of frame inference machine, rule-based reasoning machine, indistinct logic computer and method inference machine to failure cause, release result, i.e. failure cause and corresponding solution.

The system fault diagnosis result returns the unit that breaks down by central control system, and the field personnel gets rid of fault according to the result of diagnosis.When two above equipment break down simultaneously, fault can be passed to group of planes engineering mechanical device status monitoring fault diagnosis system successively, after diagnosing, pass to group of planes construction dispatching control subsystem, after the coordination of group of planes construction dispatching control subsystem, pass to central control system coordinating the result, central control system is sent diagnostic result and scheduling result to fault in-situ successively, selects for the staff.When group of planes engineering mechanical device status monitoring fault diagnosis system can't be inferred reason to the phenomenon of the failure of receiving, to pass to the telecommunication network diagnostic center to this information, after the diagnosis of telecommunication network diagnostic center, returned results is given group of planes engineering mechanical device status monitoring fault diagnosis system, system issues the knowledge base that the result adds system again fault and takes place on-the-spot.

The current diagnosis system can realize that wherein loading machine comprises engine, hydraulic system, steering, braking system and electric system subsystem to the failure diagnosis of the group of planes of compositions such as loading machine, road roller, paver; Road roller comprises engine, hydraulic system, steering, braking system, electric system and running gear subsystem.The composition structure of knowledge base as shown in figure 15.When the user carries out failure diagnosis, select phenomenon of the failure and phenomenon of the failure classification from two list boxes successively, system can release failure cause and solution automatically.The user is according to the conclusion that obtains, and fault is solved accordingly and gets rid of.

System adopts modular construction, and utilization Object-Oriented Programming technology, system are easy to expand, safeguard.Therefore system can be at any time joins knowledge base with the knowledge of the various units in the group of planes, and can make amendment, expand existing knowledge, and along with the carrying out of knowledge acquisition, the knowledge in the knowledge base is enriched constantly, and the diagnostic function of system also can be more and more stronger.

Engine, electrical system, Failure Diagnosis of Hydraulic System with road roller is the realization that example is specifically introduced the object knowledge oriented expression below.The Knowledge Representation Method of other unit can be by that analogy.

Embodiment 1

Engine diagnosis knowledge representation example:

GLOBE engine: engine class; END/* frame description begins */Unit: engine class in engine class .fra; / * unit: frame name in knowledge library name */Memberslot: title from engine class; The general structure */Inheritance:OVERRIDE of/* title groove; / * groove inherited attribute side */Valueclass:string; / * groove type side */Values: " engine "; / * slot value side */end slot; Memberslot: code name from engine class; The general structure */Inheritance:OVERRIDE of/* code name groove; Valueclass:string; Values: " LY "; End slot; Memberslot: coding from engine class; The general structure * of/* code name groove/＜!--SIPO＜DP n=" 11 "〉--〉＜dp n=" d11 "/Inheritance:OVERRIDE; Valueclass:string; Values: " AD9000A "; End slot; / * phenomenon of the failure, failure cause and solution */MemberSlot: phenomenon of the failure from engine class; InheritaRce:OVERRIDE; Valueclass:string; Values:unknown; End slot; MemberSlot: phenomenon of the failure classification from engine class; Inheritance:OVERRIDE; Valueclass:string; Values:unknown; End slot; MemberSlot: produce reason from engine class; Inheritance:OVERRIDE; Valueclass:string; Values:unknown; End slot; MemberSlot: diagnostic method from engine class; Inheritance:OVERRIDE; Valueclass:string; Values:unknown; End slot; MemberSlot: solution from engine class; Inheritance:OVERRIDE; Valueclass:string; Values:unknown; End slot; Memberslot. failure cause and solution from engine class; / * rule groove */inheritance:override; Valueclass:rules; Values :/* Failure Diagnostic Code collection */{ rule 10 fact _ FRAME. phenomenon of the failure=" can not start " and _ FRAME. phenomenon of the failure classification=" low pressure oil circuit fuel feeding is not enough or not fuel feeding " then_frame. produces that reason=" (1) low-pressure oil supply system breaks down; Stifled, leak the influence of bad (2) oil transfer pump ";＜!--SIPO＜DP n=" 12 "〉--〉＜dp n=" d12 "/_ the frame. diagnostic method=" (1) checks that fuel tank has or not diesel oil; (2) check low pressure oil circuit sealing situation; (3) check that the low pressure oil circuit stops up "; _ frame. solution=" fixing a breakdown as the case may be "; .. rule 100 fact _ FRAME. phenomenon of the failure=" can not start " and_FRAME. phenomenon of the failure classification=" not oil spout of fuel injector " then _ frame. produce reason=" (1) needle-valve do not open nozzle opening or other material nozzle opening is blocked (influence of pressure spring pretightning force excessive (2) fuel injector frictional resistance excessive (3) injection pump "; _ frame. diagnostic method=" fuel injector is pulled down direct inspection "; _ frame. solution=" (1) pulls down fuel injector, screws out gradually with the pressure regulating screw of screwdriver with fuel injector, and the pretightning force of pressure spring is reduced gradually "; End slot; Memberslot: phenomenon of the failure is selected from engine class; / * method groove */Inheritance:method; Valueclass:methods; Values: phenomenon of the failure system of selection; / * method name */end slot; End Unit; / * frame description finishes, and (phenomenon of the failure is selected: keyword) var x1, x2, x:real in */method phenomenon of the failure system of selection; Begin _ FRAME. phenomenon of the failure :=select (" phenomenon of the failure: ", " can not start ", " rotary speed unstabilization is fixed ", " exhaust gas color is undesired ", " engine oil pressure is too high ", " engine oil pressure is low excessively ", " oil temperature is too high ", " underpower ", " not reaching minimum speed ", " do not reach rated engine speed ", " engine abnormal noise "); If (_ FRAME. phenomenon of the failure=" can not start ") then begin _ FRAME. phenomenon of the failure classification :=select (" phenomenon of the failure classification: ", " low pressure oil circuit fuel feeding not enough or not fuel feeding ", " not oil spout of fuel injector ", " influence of starter motor ", " mal-compression in the cylinder ", " influence of temperature "); End;＜!--SIPO＜DP n=" 13 "〉--〉＜dp n=" d13 "/reason (_ FRAME, " failure cause and solution "); End.

Embodiment 2:

The electrical malfunction diagnostic knowledge is expressed example:

GLOBE electrical system: electrical system class; The END/* frame description begins */Unit: electrical system class in electrical system class .fra; / * unit: frame name in knowledge library name */Memberslot: title from electrical system class; The general structure */Inheritance:OVERRIDE of/* title groove; / * groove inherited attribute side */Valueclass:string; / * groove type side */Values: " electrical system class "; / * slot value side */end slot; Memberslot: code name from electrical system class; The general structure */Inheritance:OVERRIDE of/* code name groove; Valueclass:string; Values: " LY "; End slot; Emberslot: coding from electrical system class; The general structure */Inheritance:OVERRIDE of/* code name groove; Valueclass:string; Values: " AD9000A "; End slot; / * phenomenon of the failure, failure cause and solution */MemberSlot: phenomenon of the failure from electrical system class; Inheritance:OVERRIDE; Valueclass:string; Values:unknown; End slot; MemberSlot: phenomenon of the failure classification from electrical system class; Inheritance:OVERRIDE; Valueclass:string; Values:unknown; End slot; MemberSlot: phenomenon of the failure value from electrical system class; Inheritance:OVERRIDE; Valueclass:string;＜!--SIPO＜DP n=" 14 "〉--〉＜dp n=" d14 "/and Values: " power consumption equipment work is undesired, does not even work.Can hear abnormal sound during generator work.The ammeter pointer indication is in the limit of (+).Generator starts the back and improves rotating speed, and ammeter is indicated too small or is zero, and storage battery has electric discharge phenomena, and the night work time is red dark "; End slot; MemberSlot: phenomenon of the failure classification value from electrical system class; Inheritance:OVERRIDE; Valueclass:string; Values:unknown; End slot; Memberslot: phenomenon of the failure classification value rule from electrical system class; / * rule groove */inheritance:override; Valueclass:rules; */{ rule 10 fact _ FRAME. phenomenon of the failure=" power consumption equipment work is undesired for values :/* rule, and " then _ frame. phenomenon of the failure classification value=" the lead accumulator exterior part of even not working is bad "; Rule 20 fact _ FRAME. phenomenon of the failure=" can hear abnormal sound during generator work " then _ frame. phenomenon of the failure classification value=" influence that the electrical installation apparatus system is revealed "; .. rule 100 fact _ FRAME. phenomenon of the failure=" generator starts the back and improves rotating speed; ammeter is indicated too small or is zero; storage battery has electric discharge phenomena, and the night work time, red dark " then _ frame. phenomenon of the failure classification value=" generator speed n descended.Magnetic flux reduces.Reducing of generator constant C.The generator output circuit is bad.The influence of rectifier (rectifier diode is breakdown or burn out) "; End slot; MemberSlot: produce reason from electrical system class; Inheritance:OVERRIDE; Valueclass:string; Values:unknown; End slot; MemberSlot: diagnostic method from electrical system class; Inheritance:OVERRIDE; Valueclass:string; Values:unknown; End slot; MemberSlot: solution from electrical system class;＜!--SIPO＜DP n=" 15 "〉--〉＜dp n=" d15 "/Inheritance:OVERRIDE; Valueclass:string; Values:unknown; End slot; Memberslot: failure cause and solution from electrical system class; / * rule groove */inheritance:override; Valueclass:rules; */{ rule 10 fact _ FRAME. phenomenon of the failure=" power consumption equipment work is undesired for values :/* rule, and it is improper that " classification of and_FRAME. phenomenon of the failure=" the lead accumulator exterior part of even not working bad " then_frame. generation reason=" (1) workmanship inferior (2) bad connections (3) ply-yarn drill selects for use improper (4) installation improper (5) conductor length to select for use improper (6) to safeguard "; _ frame. diagnostic method=" "; _ frame. solution=" (1) fastening wiring card (2) observe pole has corrosion or when burning out fault, with the gauze polishing, eliminate the corrosion thing with boiling water flushing back "; Rule 20 fact _ FRAME. phenomenon of the failure=" can hear abnormal sound during generator work " and _ FRAME. phenomenon of the failure classification=" influence that the electrical installation apparatus system is revealed " then _ frame. produces reason=" distortion of loosening (3) fan sled of (1) damage of bearings (2) parts "; _ frame. diagnostic method=" "; _ frame. solution=" (1) is changed bearing (2) and is changed parts (3) correcting motor fan "; .. rule 44 fact _ FRAME. phenomenon of the failure=" generator starts the back and also improves rotating speed; the ammeter indication is too small or be zero; storage battery has electric discharge phenomena, and night work time red dark " classification of and_FRAME. phenomenon of the failure=" generator output circuit bad " then_frame. produce reason=" (1) generator armature connects post to ammeter and connects terminal loose contact (2) lead and get loose or fracture "; _ frame. diagnostic method=" "; _ frame. solution=" fastening or restringing "; End slot; End Unit; / * frame description finish */

Embodiment 3

Failure Diagnosis of Hydraulic System knowledge representation example:

GLOBE hydraulic system: hydraulic system class; The END/* frame description begins */Unit: hydraulic system class in hydraulic system class .fra; / * unit: frame name in knowledge library name */Members lot: title from hydraulic system class; The general structure */Inheritance:OVERRIDE of/* title groove; / * groove inherited attribute side */Valueclass:string; / * groove type side */Values: " hydraulic system class "; / * slot value side */end slot; Memberslot: code name from hydraulic system class; The general structure */Inheritance:OVERRIDE of/* code name groove; Valueclass:string; Values: " LY "; End slot; Memberslot: coding from hydraulic system class; The general structure */Inheritance:OVERRIDE of/* code name groove; Valueclass:string; Values: " AD9000A "; End slot; / * phenomenon of the failure, failure cause and solution */MemberSlot: phenomenon of the failure from hydraulic system class; Inheritance:OVERRIDE; Valueclass:string; Values:unknown; End slot; MemberSlot: phenomenon of the failure value from hydraulic system class; Inheritance:OVERRIDE; Valueclass:string; Values: " scraper plate stall "; End slot; MemberSlot: phenomenon of the failure classification from hydraulic system class; Inheritance:OVERRIDE; Valueclass:string; Values:unknown; End slot; MemberSlot: phenomenon of the failure classification value from hydraulic system class; Inheritance:OVERRIDE;＜!--SIPO＜DP n=" 17 "〉--〉＜dp n=" d17 "/Valueclass:string; Values:unknown; End slot; Memberslot: phenomenon of the failure classification value rule from hydraulic system class; / * rule groove */inheritance:override; Valueclass:rules; When values :/* rule */{ rule 10 fact _ FRAME. phenomenon of the failure=" connected electromagnetic valve circuit, vibrating wheels was not vibrated the pressure circuit of " then _ frame. phenomenon of the failure classification value=" hydraulic motor and is not connected "; Rule 20 fact _ FRAME. phenomenon of the failure=" during the vibrated roller vibration, the sensation vibration force is not as initially " then _ frame. phenomenon of the failure classification value=" oil pump efficient and efficiency of transmission reduce "; Rule 30 fact _ FRAME. phenomenon of the failure=" when cutting off the electromagnetic circuit of hydraulic motor, the vibrating wheels of road roller is still vibrated " then _ frame. phenomenon of the failure classification value=" hydraulic motor oil circuit and is not cut off "; End slot; MemberSlot: produce reason from hydraulic system class; Inheritance:OVERRIDE; Valueclass:string; Values:unknown; End slot; MemberSlot: diagnostic method from hydraulic system class; Inheritance:OVERRIDE; Valueclass:string; Values:unknown; End slot; MemberSlot: solution from hydraulic system class; Inheritance:OVERRIDE; Valueclass:string; Values:unknown; End slot; Memberslot: failure cause and solution from hydraulic system class; / * rule groove */inheritance:override; Valueclass:rules; Values :/* rule */＜!--SIPO＜DP n=" 18 "〉--〉＜dp n=" d18 "/rule 10 fact _ FRAME. phenomenon of the failure=" when connecting electromagnetic valve circuit, the power circuit that the pressure circuit that vibrating wheels is not vibrated " classification of and_FRAME. phenomenon of the failure=" hydraulic motor not have to connect " then _ frame. produce reason=" (1) electromagnetically operated valve open circuit or solenoid damage (2) reversal valve guiding valve stuck by mechanical impurities in off-position "; _ frame. diagnostic method=" "; _ frame. solution=" suit the medicine to the illness and get rid of "; Rule 20 Fact _ FRAME. phenomenon of the failure=" during the vibrated roller vibration; feel that vibration force is not so good as initial " and _ FRAME. phenomenon of the failure classification=" oil pump efficient and efficiency of transmission reduces " then _ frame. generation reason=" oil pump leakage, transmission pipeline leaks or stops up "; _ frame. diagnostic method=" "; _ frame. solution=" maintenance "; Rule 30 fact _ FRAME. phenomenon of the failure=" when cutting off the electromagnetic circuit of hydraulic motor, the vibrating wheels of road roller is still vibrated " classification of and_FRAME. phenomenon of the failure=" hydraulic motor oil circuit not to be had to cut off " then _ Frame. generation reason=", and (1) spring force is stuck in the oil circuit conduction position less than the mechanical impurities in frictional resistance (2) electromagnetically operated valve short circuit (3) fluid of guiding valve with guiding valve "; _ frame. diagnostic method=" "; _ frame. solution=" maintenance "; End slot; Memberslot: phenomenon of the failure is selected from hydraulic system class; / * method groove */Inheritance:method; Valueclass:methods; Values: hydraulic system fault phenomenon system of selection; / * method name */end slot; End Unit; / * frame description finishes, and (phenomenon of the failure is selected: keyword) var x1, x2, x:real in */method hydraulic system fault phenomenon system of selection; Begin _ FRAME. phenomenon of the failure :=select (" phenomenon of the failure: ", " swing arm rose slow than raw velocity when scraper bowl was full load ", " the scraper bowl upset slowly ", " the oil temperature surpasses setting; feel that sometimes the upset of lifting and scraper bowl is unable ", " during work, hydraulic system has noise "); If (_ FRAME. phenomenon of the failure=" swing arm rose slow than raw velocity when scraper bowl was full load ") then begin _ FRAME. phenomenon of the failure classification :=select (" phenomenon of the failure classification: ", " hydraulic pump influence ", " influence that the hydraulic work device system reveals ", " influence of stopping up ", " influence of flow conversion valve ", " resistance＜!--SIPO＜DP n=" 19 "〉--〉＜dp n=" d19 "/power excessive ", " fuel tank oil storage deficiency ", " hydraulic oil pump is imported and exported oil pipe and is connect instead "); End; If (_ FRAME. phenomenon of the failure=" the scraper bowl upset slowly ") then begin _ FRAME. phenomenon of the failure classification :=select (" phenomenon of the failure classification: ", " fault occurs in early days ", " fault occurs in the normal operating period ", " fault occurred near the overhaul phase "); End; If (_ FRAME. phenomenon of the failure=" oil temperature surpasses setting; feel lifting and scraper bowl upset unable ") then begin _ FRAME. phenomenon of the failure classification sometimes: the classification of=select (" phenomenon of the failure: ", " hydraulic oil pump wearing and tearing ", " control valve influence ", " oil circuit obstruction ", " resistance is excessive ", " heat-sinking capability decline "); End; During if (_ FRAME. phenomenon of the failure=" work; hydraulic system has noise ") then begin _ FRAME. phenomenon of the failure classification: the classification of=select (" phenomenon of the failure: ", " air pocket causes noise ", " influence of system's internal pressure fluctuation ", " influences of mechanical oscillation "); End; Reason (_ FRAME, " failure cause and solution "); End.

Claims (3)

1, a kind of mobile operating group of planes engineering machinery intelligent fault diagnostic system Network Based comprises: the mobile operating group of planes equipment prison based on the distributed-hierarchical formula of GSM/GPRS net is examined system architecture and system platform; Between unified management at the construction field (site) and single-set operation, control, maintenance, the adjustment working in dispersion, structure is concentrated supervision, diagnostic analysis and group of planes equipment condition monitoring and fault diagnosis system that decentralized supervision, operation combine, it is characterized in that: this diagnostic system examines subsystem by unit intelligence prison and the group of planes prison center of examining is formed; Above-mentioned unit intelligence prison is examined subsystem and is examined device transducer, the real-time buffer of failure symptom state information, fault message transmission/reception GSM port, unit fault message decoder/encoder and unit mobile communication module and constituted by embedded microprocessor, unit fault message input device, unit controller indirect sensors, unit intelligence prison; Above-mentioned group of planes prison is examined the center and is monitored that by microprocessor inference engine of expert system, upper system mobile communication module, upper system fault message decoder/encoder, a group of planes equipment state buffer, group of planes device status data memory and knowledge base memory constitute; Diagnostic result information that unit prison is examined the information transmission that subsystem and group of planes prison examine the center and comprised that information is up---unit state and fault message are examined subsystem by the unit prison and be sent to group of planes prison and examine the center, and information is descending---is sent to unit by the group of planes prison center of examining and supervises and examine subsystem; The up process of information: the unit prison is examined state and the fault message that subsystem obtains the engineering machinery unit in real time, communication module is regularly delivered in the encoded back of these information, and be sent to group of planes prison by it by the GSM/GPRS wireless network and examine the center, after group of planes prison is examined center communication module acquisition unit state and fault message, put into the data buffer zone, then it is decoded, when finding to have fault to occur, the startup expert system is analyzed, reasoning, obtains diagnostic result; The descending process of information: encode to diagnostic result in the group of planes prison center of examining, it is to be sent to deliver to data buffer zone etc., communication module is sent to each unit with the diagnostic result information after encoded by the GSM/GPRS network successively, the unit prison is examined subsystem and is obtained to decode behind the diagnostic result by communication module, then diagnostic result information is presented on the LCD LCDs and offers the operator.

2, by the described mobile operating group of planes engineering machinery intelligent fault diagnostic system Network Based of claim 1, it is characterized in that: unit intelligence prison is examined the hardware platform that the unit intelligence prison of constructing in the man-machine symbiosis mode that subsystem hardware is based on embedded microprocessor is examined subsystem; On embedded microprocessor, connect:

Realize RS-232/CANbus interface with GSM/GPRS module serial communication;

Realize the I/O interface of engineering machinery state parameter sensor signal conversion;

Realize CANbus bus with the transmission of engineering machinery unit controller data;

Realize application software, the data upload/following USB port that passes;

Realize the typing of man-machine symbiosis failure symptom, receive keypad, display lcd and interface thereof that the upper strata prison is examined system command information;

Prison is examined the memory and the hard disk of systems soft ware and database.

3, a kind of application rights requires the diagnostic method of 1 described mobile operating group of planes engineering machinery intelligent fault diagnostic system Network Based, it is characterized in that comprising following content:

Fault diagnostic program: the extraction of measuring point state parameter, input, data communication, the processing of parameter overload alarm, sign extraction, failure diagnosis, the analysis of causes and treatment measures;

Fault diagnosis reasoning;

The computer prison system of examining that prison is examined the center by touring scan mode to the execution of the unit in group of planes diagnosis algorithm is:

(1) when gating equipment i, promptly state and the failure symptom information that receives this equipment by the GMS port is upstream data;

(2) after system call data link protocol standard is decoded, send diagnostic expert system, diagnose, reasoning, analysis;

(3) expert system is called knowledge base, database, and fault message is carried out analyzing and diagnosing, draws the diagnostic result data;

(4) diagnostic result one tunnel send monitor to show, the one tunnel delivers on i the unit GMS port behind the data link protocol coding, instructs this equipment operation, has finished the prison of this equipment and has examined task;

(5) counter adds 1 automatically, points to next device, repeats (1)～(4) process, till the whole n platform of the traversal group of planes equipment, thereby has finished the work that a prison is examined the cycle;

(6) pressing the clock cycle repeats (1)～(5) process, moves in circles, goes round and begins again, and has realized mobile operating group of planes condition monitoring and fault diagnosis task;

Unit fault diagnosis subsystem function operation flow process is:

(1) stand-alone device monitoring of working condition and fault alarm:

Under multiple task real-time operation system (RTOS), the first floor system primary control program reads the sensor signal that directly monitors and comes from the indirect monitoring signal of RS232 or CANbus bus, on screen, show these state parameters, and with this machine data storehouse in corresponding normal condition parameter value relatively, if surpass prescribed limit, then start the fault alarm program, realize acousto-optic, literal, image alarm, remind the operator;

(2) adopt the man-machine symbiosis mode, obtain status information of equipment:

The mode of status information of equipment is obtained in people-operator, machine-transducer cooperation jointly, and the keypad that the typing of operator's failure symptom is made up of display screen, several special operational key, handwriting input device, sign select the typing module to form;

Failure symptom selects the typing module to be made up of recording program and failure symptom database; Recording program and failure symptom database all comprise system, parts, element composition according to the plant equipment hierarchical structure; When operator's discovering device is undesired, touch prison and examine the device keypad button, system is in observation process, continuous scanning keypad when receiving artificial input instruction, starts the failure symptom recording program, transfer the failure symptom database, according to the possible failure symptom of form demonstration of tree;

To the fault of typing not as yet in the database, adopt on-the-spot interim handwriting mode input; For this new failure symptom, after first floor system passed to the upper strata, the knowledge that will be made new advances by domain expert's analytic induction was added in the expert system knowledge base, upgrades the failure symptom database simultaneously;

(3) the GSM/GPRS wireless data of status information of equipment sends:

According to the gerentocratic requirement of upper system, determine the clock cycle T of up-downgoing data; By this clock, system will start GSM/GPRS wireless data router, the state information of finishing through monitoring facilities that derives from three aspects, according to upper base interlayer data link protocol, convert corresponding number to, be sent to upper system by transmit port by GSM/GPRS wireless data router;

(4) receive the result that the upper strata fault diagnosis system transmits:

First floor system is in real-time observation process, constantly scan GSM/GPRS Data Receiving port, when triggering signal, system will start GSM/GPRS Data Receiving program and receive the information that send on the upper strata, again according to data link protocol, examine result database by prison and convert the character string text to, on display, show, instruct the Field Force that equipment is keeped in repair, adjusts;

The method of monitoring fault message is to use unit intelligence prison to examine the transducer that subsystem is used, and obtains the information of following two aspects, offers diagnostic expert system:

(1) utilize the control monitor signal of mobile operating plant equipment, construction machinery electronic monitoring systems is at carrying out such as engine, hydraulic system, and these parameters that are used to control can reflection system part working conditions;

(2) increase the characteristic parameter that is easy to measure in each system, characterize the machine abnormal conditions, as temperature, pressure, rotating speed etc.

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