CN106295809B - The embedded real-time diagnosis reasoning algorithm pilot system of aircraft - Google Patents

The embedded real-time diagnosis reasoning algorithm pilot system of aircraft Download PDF

Info

Publication number
CN106295809B
CN106295809B CN201610551143.0A CN201610551143A CN106295809B CN 106295809 B CN106295809 B CN 106295809B CN 201610551143 A CN201610551143 A CN 201610551143A CN 106295809 B CN106295809 B CN 106295809B
Authority
CN
China
Prior art keywords
reasoning algorithm
verified
master control
diagnostic reasoning
control set
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201610551143.0A
Other languages
Chinese (zh)
Other versions
CN106295809A (en
Inventor
吕琛
丁宇
袁航
马剑
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Hengxing Yikang Technology Co ltd
Original Assignee
Beihang University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beihang University filed Critical Beihang University
Priority to CN201610551143.0A priority Critical patent/CN106295809B/en
Publication of CN106295809A publication Critical patent/CN106295809A/en
Application granted granted Critical
Publication of CN106295809B publication Critical patent/CN106295809B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/04Inference or reasoning models
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Computer Hardware Design (AREA)
  • Geometry (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a kind of pilot systems of the embedded real-time diagnosis reasoning algorithm of aircraft, it include: master control set, for being registered to diagnostic reasoning algorithm to be verified, by the diagnostic reasoning Algorithms Integration to be verified by registration into embedded target machine, the failure for being concurrently born into fault data generates instruction;Digital simulation device, the failure for the sending according to master control set generate instruction, generate corresponding fault data;Embedded target machine makes inferences calculating to the fault data, and calculated result is sent to master control set by running the diagnostic reasoning algorithm to be verified;Wherein, the master control set evaluates the performance of the diagnostic reasoning algorithm to be verified by analyzing the calculated result.The present invention solves the difficulty of the existing technology for needing to verify real-time diagnosis reasoning algorithm aboard.

Description

The embedded real-time diagnosis reasoning algorithm pilot system of aircraft
Technical field
The present invention relates to airplane fault diagnostic field, especially a kind of aircraft embedded real-time diagnosis reasoning algorithm test system System.
Background technique
Fault diagnosis and health with the promotion of type aircraft function complexity and system complexity, for its each system Management system also becomes increasingly complex.Meanwhile Aircraft Health management system proposes more the precision and efficiency of diagnostic reasoning process High requirement.Therefore in the development stage, designer needs in face of higher performance requirement, this brings more to development and production Difficulty.
It is one for airborne equipment progress fault diagnosis and is related to the technology of more equipment, carries out data from for equipment under test Acquisition carries out diagnostic process to device status information is imported region class manager, is to the last sent to ground for diagnostic result Face carries out relevant maintenance decision.This process proposes high real-time for corresponding diagnostic reasoning engine algorithms and wants It asks, therefore the diagnostic reasoning algorithm development phase on ground, designer need to carry out algorithm multiple verification experimental verification, with full Sufficient design requirement.In order in the development stage of airborne embedded diagnostic system, carry out the analysis of experiments work for implementing diagnostic design, It timely and effectively finds design defect and is optimized and revised, carry out the analysis of experiments system of the embedded real-time diagnosis design of aircraft It develops very necessary.
Summary of the invention
The object of the present invention is to provide the embedded real-time diagnosis reasoning algorithms of a kind of pair of aircraft to carry out pilot system, so as to To the embedded real-time diagnosis reasoning algorithm of effective and reliable aircraft.
The pilot system of the embedded real-time diagnosis reasoning algorithm of aircraft of the invention includes:
Master control set, for being registered to diagnostic reasoning algorithm to be verified, by the diagnostic reasoning to be verified by registration For Algorithms Integration into embedded target machine, the failure for being concurrently born into fault data generates instruction;
Digital simulation device, the failure for the sending according to master control set generate instruction, generate corresponding fault data;
Embedded target machine makes inferences meter to the fault data by running the diagnostic reasoning algorithm to be verified It calculates, and calculated result is sent to master control set;
Wherein, the master control set is by analyzing the calculated result, to the performance of the diagnostic reasoning algorithm to be verified It is evaluated;
Wherein, it is that simulated fault generates instruction or physical fault injection instruction or history that the failure, which generates instruction, Failure sense order, the fault data be according to the simulated fault generate instruction generate simulated fault data or according to The corresponding physical fault data or read according to historical failure that physical fault injection instruction is obtained from testing stand fault injection system The corresponding historical failure data read from historical failure data library is instructed out.
Preferably, the embedded target machine includes: the receiving module for receiving the mission requirements;For root The read module of corresponding fault data is read in from the digital simulation device according to the mission requirements;For using it is described to The computing module that verifying diagnostic reasoning algorithm calculates corresponding fault data.
Preferably, the master control set include: for by the calculated result fault type quantity and it is described therefore Barrier instructs the matching treatment module of related fault type and quantity progress matching treatment;For the matching according to matching treatment Degree evaluates the evaluation module of the performance of the diagnostic reasoning algorithm to be verified.
Preferably, the embedded target machine further includes that computer resource ties up module, is used for: receiving the master control dress That sets sending ties up instruction for tie up computing resource;It instructs include to tie up grade according to described tie up, sets airborne meter It calculates non-diagnostic reasoning algorithm in environment and ratio is tied up for computing resource;It is being respectively non-diagnostic push away according to the ratio that ties up In the case that adjustment method and diagnostic reasoning algorithm to be verified distribute corresponding computing resource, obtain to be verified when computing resource is tied up The resolving efficiency and ability of diagnostic reasoning algorithm, and send it to master control set.
Preferably, the matching treatment module of master control set by the calculated result fault type quantity and the failure Fault type quantity involved in instructing carries out matching treatment;The evaluation module of master control set according to matching treatment matching degree And the resolving efficiency and ability of computing resource diagnostic reasoning algorithm to be verified when being tied up, evaluate the diagnostic reasoning to be verified The performance of algorithm.
Preferably, the fault simulation model simulates the failure of Hydrauservo System, and generating includes that electronics amplifies Device abrupt gain, electron-amplifier gain be gradual and the fault data of hydraulic cylinder interior leakage dew.
Preferably, described to tie up module by following processing, obtain diagnostic reasoning to be verified when computing resource is tied up The resolving efficiency and ability of algorithm: it unites to the software and hardware resources occupancy situation during each diagnostic reasoning task run Meter;Monitoring point is added in a program by way of pitching pile, each position information progress collect statistics are finally obtained into task run The performance monitoring information of period.
It is preferably, described that distribute corresponding computing resource for non-diagnostic reasoning algorithm be real by operation Equivalent Calculation program Existing.
Preferably, the running priority grade of the Equivalent Calculation program is higher than the running priority of diagnostic reasoning algorithm to be verified Grade, to tie up instruction according to the master control set, preferentially runs diagnostic reasoning algorithm to be verified.
Preferably, the computing resource ties up CPU usage including the thread that runs the Equivalent Calculation program and interior Deposit occupancy.
The invention has the advantages that aircraft can be improved by the embedded diagnostic reasoning algorithm of ground validation aircraft The verification efficiency of embedded diagnostic reasoning algorithm, accelerates the exploitation of the embedded diagnostic reasoning algorithm of aircraft, and can substantially drop The verifying cost of the embedded diagnostic reasoning algorithm of low flight machine.
Technology contents and its effect of the invention are described in detail with reference to the accompanying drawing.
Detailed description of the invention
Fig. 1 is the schematic diagram of the embedded real-time diagnosis reasoning algorithm pilot system of aircraft of the invention;
Fig. 2 is the hardware architecture diagram of the embedded real-time diagnosis reasoning algorithm pilot system of aircraft of the invention;
Fig. 3 is the hardware architecture diagram of data simulator of the invention;
Fig. 4 is the hardware architecture diagram of embedded target machine of the invention;
Fig. 5 is the architecture diagram of the embedded diagnostic reasoning algorithm pilot system of aircraft of the invention;
Fig. 6 is the architecture diagram of the master control set of the embedded diagnostic reasoning algorithm pilot system of aircraft of the invention;
Fig. 7 is the hardware architecture diagram of data simulator of the invention;
Fig. 8 is the architecture diagram of insertion target machine of the invention;
Fig. 9 is the schematic diagram of the embedded real-time diagnosis reasoning algorithm test method first embodiment of aircraft of the invention;
Figure 10 is the schematic diagram of the embedded real-time diagnosis reasoning algorithm test method second embodiment of aircraft of the invention;
Figure 11 is the schematic diagram of the embedded real-time diagnosis reasoning algorithm test method 3rd embodiment of aircraft of the invention.
Specific embodiment
Fig. 1 shows the embedded real-time diagnosis reasoning algorithm pilot system of aircraft of the invention, as shown in Figure 1, the system Include:
Master control set, for being registered to diagnostic reasoning algorithm to be verified, by the diagnostic reasoning to be verified by registration For Algorithms Integration into embedded target machine, the failure for being concurrently born into fault data generates instruction;
Digital simulation device, the failure for the sending according to master control set generate instruction, generate corresponding fault data;
Embedded target machine makes inferences meter to the fault data by running the diagnostic reasoning algorithm to be verified It calculates, and calculated result is sent to master control set;
Wherein, the master control set is by analyzing the calculated result, to the performance of the diagnostic reasoning algorithm to be verified It is evaluated;
Wherein, it is that simulated fault generates instruction or physical fault injection instruction or history that the failure, which generates instruction, Failure sense order, the fault data be according to the simulated fault generate instruction generate simulated fault data or according to The corresponding physical fault data or read according to historical failure that physical fault injection instruction is obtained from testing stand fault injection system The corresponding historical failure data read from historical failure data library is instructed out.
Above-mentioned embedded target machine includes: the receiving module for receiving mission requirements from master control set, such as interface Module;For the read module of corresponding fault data to be read in from the digital simulation device according to the mission requirements, than Such as;Computing module for being calculated using diagnostic reasoning algorithm to be verified corresponding fault data.
Above-mentioned master control set include: for by the calculated result fault type quantity and the faulting instruction institute The fault type and quantity being related to carry out the matching treatment module of matching treatment;For the matching degree according to matching treatment, comment The evaluation module of the performance of diagnostic reasoning algorithm to be verified described in valence.
Above-mentioned embedded target machine further includes that computer resource ties up module, which ties up module and be used for: Receive that the master control set issues ties up instruction for tie up computing resource;Instruct include to tie up according to described tie up Grade sets non-diagnostic reasoning algorithm in airborne calculating environment and ties up ratio for computing resource;Ratio is being tied up according to described In the case that respectively non-diagnostic reasoning algorithm and diagnostic reasoning algorithm to be verified distribute corresponding computing resource, computing resource is obtained The resolving efficiency and ability of diagnostic reasoning algorithm to be verified when being tied up, and send it to master control set.
The matching treatment module of above-mentioned master control set refers to the fault type quantity in the calculated result with the failure Fault type quantity involved in enabling carries out matching treatment;The evaluation module of master control set according to the matching degree of matching treatment with And the resolving efficiency and ability of computing resource diagnostic reasoning algorithm to be verified when being tied up, it evaluates the diagnostic reasoning to be verified and calculates The performance of method.
Above-mentioned fault simulation model simulates the failure of Hydrauservo System, and generating includes electron-amplifier gain It is mutated, electron-amplifier gain is gradual and the fault data of hydraulic cylinder interior leakage dew.
Above-mentioned ties up module by following processing, obtains the solution of diagnostic reasoning algorithm to be verified when computing resource is tied up Calculate efficiency and ability:
Software and hardware resources occupancy situation during each diagnostic reasoning task run is counted;
Monitoring point is added in a program by way of pitching pile, each position information progress collect statistics are finally obtained into task Performance monitoring information during operation.
The present invention, which distributes corresponding computing resource for non-diagnostic reasoning algorithm, to be realized by running Equivalent Calculation program.Its In, the running priority grade of Equivalent Calculation program is higher than the running priority grade of diagnostic reasoning algorithm to be verified, so as to according to the master Control device ties up instruction, preferentially runs diagnostic reasoning algorithm to be verified.
Computing resource of the present invention ties up CPU usage including the thread that runs the Equivalent Calculation program and interior Deposit occupancy.
Function to the embedded real-time diagnosis reasoning algorithm pilot system of aircraft of the invention, hardware frame with reference to the accompanying drawing Structure, software architecture are described in detail.It should be pointed out that these explanations are used only for explaining the present invention, rather than it is used to limit The fixed present invention.
Master control set can functionally be divided into operation task configuration feature module, task run status monitoring and control mould Block verifies Function of Evaluation module and carries out embedded target machine relevant configuration monitoring behaviour as embedded target machine host computer Make.Digital simulation device can be divided into from function carries out the several of data acquisition, data simulation, data management and data transmission Module.Target machine is embedded in as to the airborne simulation for calculating environment, is responsible for operation diagnostic reasoning algorithm to be verified, equivalent money Source occupies the task of calculating task and task run condition monitoring.
Task originating end and control terminal of the master control set as analysis of experiments system, it is necessary first to which progress is operation task Configuration.Task run configuration needs to carry out necessary setting to the analysis of experiments task currently established.Analysis of experiments system branch Hold management, the indexing service that object and algorithm to be verified are carried out by database.Before task run, need first to be verified Object and corresponding algorithm are registered, and the title, model and modeling/operating condition of object to be tested, analysis to be tested are provided Algorithm function, algorithm title, verifying index and algorithm model title.After above-mentioned specific object information confirmation, every time Before the newly-built operation of carry out task, the details of every subtask are inputted for the object of analysis to be tested, complete the new of task It builds.
Task run status monitoring and control module are realized during task run, monitor the stage of task run simultaneously Fed back by interactive interface, while the permission and function of real-time control task run state being provided, carry out task continuation or The operation of stopping.In task monitoring running state and control module, current task team can also be shown by user interface Column-shaped state, and support that different current operation tasks is selected to be controlled.
Verifying Function of Evaluation module realizes Performance Evaluation ability, the fault diagnosis energy for treating analysis of experiments diagnostic reasoning algorithm The assay of power and failure prediction capability, by being referred to according to the different evaluations of selected metric respectively of selected verification algorithm Mark carries out verifying analysis, and result and specified value are finally compared carry out qualification determination, obtains verifying analysis conclusion.
Main control part host computer as embedded real-time processor simultaneously, needs through Workbench environment to insertion The operations such as the embedded real-time operating system Vxworks in formula target machine configured, lower dress.It is completed in operating system configuration On basis, the diagnostic reasoning algorithm needs registered in task information database are meeting analysis of experiments system related request Under the premise of, in Workbench environment complete debugging after, be added in the algorithms library of embedded real-time processor, formed with Correspondence in mission bit stream database is with the calling requirement of supportive test analysis task.
Current test analysis system carries out testing for diagnostic reasoning algorithm primarily directed to aircraft utilities system and avionics system Card analysis, therefore digital simulation device be based primarily upon above-mentioned object data acquisition be designed with generating mode, comprising rotate The acquisition of testing stand data, Simulation of Hydraulic Servo System data generate, typical avionics system object state diagram simulation model data are raw At and the data acquiring modes such as public data.
For function division angle, digital simulation device need to have data acquisition, data simulation, data management and Data-transformation facility, wherein data acquisition function needs to support by data acquisition hardware, and current data acquisition passes through sensing Device carries out data acquisition from testing stand fault injection system, and the collected signal of sensor is transmitted to data by data collecting card It is stored in simulator.Data simulation is Mechatronic Systems and avionics system simulation object by providing simulation software environment Direct fault location provides software environment, generates fault data, is monitoring and is being stored in diagnostic data simulator.Data management is Above-mentioned acquisition or emulation, which generate data and provides data file management or data base administration environment and carry out data, the operation such as files, record Data association message (acquisition time, operating condition, sample rate, sampling time etc.).Meanwhile it filing the basis of operation carrying out data On, order can be generated by the data received from master control set, corresponding data are extracted from database and generation meets lattice The data file that formula requires.Data transmission refers to will by optical fiber network interface card between support digital simulation device and embedded target machine The data for meeting mission requirements generated are transmitted.
In addition, digital simulation device needs to realize the function of data check, by referring to from the received pre-sampling of master control set It enables, desired data is loaded into database, are wanted by artificially verifying the relevant arts such as data format, integrality and correctness It asks, generates the report of data check result, by the multiple cross-check with main control computer, obtain correct perfect fault data File.
Embedded target machine functionally divides and is broadly divided into three parts, respectively run diagnostic reasoning algorithm to be verified, Equivalent resources occupy calculating task and task run condition monitoring.
Diagnostic reasoning algorithm to be verified, by compiling debugging, becomes in the Workbench environment of host computer and meets verifying The Regularization diagnostic reasoning engine of system requirements, and by under integration procedure to embedded target machine global procedures frame with support adjust With.Embedded target machine, by the mission requirements monitored and diagnostic data simulator forwards, pending data is read in by parsing, Desired algorithm is called to carry out that calculated result is calculated.Equivalent resources occupancy calculating task is introduced for reduction real machine It carries and calculates non-diagnostic reasoning algorithm tying up for computing resource in environment, set by the occupancy grade in parsing mission requirements Determine the ratio that resource ties up.In embedded real-time operating system vxworks, between different task by the height of priority come It determines the power that resource uses, in the occupancy task being introduced into, is appointed by injecting the task of high priority to seize diagnostic reasoning The computing resource of business achievees the effect that equivalent resources occupy.The function that task run condition monitoring is realized is to push away to each diagnosis Software and hardware resources occupancy situation during reason task run is counted, and monitoring point is added in a program by way of pitching pile, Performance monitoring information during each position information progress collect statistics are finally obtained task run.
The function division of analysis of experiments system determines that system hardware framework can not be real under the premise of without communication It is existing, therefore design meets the communication modules of system requirements and is necessary.Two kinds of communication party is needed support in communication module Formula, respectively the mission bit stream TCP data segment based on Ethernet and the diagnostic reasoning data transfer part based on optical fiber network interface card Point.Wherein mission bit stream hop will undertake between main control module, data simulator, embedded target machine and evaluation module Complete control command transmission data-link is realized in task order transmission.Diagnostic reasoning TCP data segment passes through reflective memory light Fibre card is transmitted.
Fig. 2 shows the hardware structure of the embedded real-time diagnosis reasoning algorithm pilot system of aircraft of the invention.Such as Fig. 3 institute Show, the general hardware architecture of system includes the main control computer, digital simulation device and embedded target as master control set Machine.Wherein main control software and verifying evaluation software run on main control computer, and main control computer is flat using high-performance workstation Platform.The functions such as acquisition, the analogue simulation of verify data realize in digital simulation device, while data simulator has and passes through light Fibre transmits verify data to embedded real-time processor.Data simulator is using support multi pass acquisition card/all kinds of boards extension High-performance industry control machine platform.Embedded target machine uses the embedded target machine based on airborne ICP framework, and support is connect by optical fiber The verify data that data simulator is sent is received, is realized to the airborne simulation for calculating environment.
Fig. 4 shows the framework of digital simulation device, digital simulation device need to have higher calculation processing power with Normal, the efficient operation for supporting all types of simulation models have a plurality of types of hardware expanding interfacing different types data Capture card supports the function of data acquisition to realize, and has optical fiber network card interface and Ethernet card interface to support a variety of numbers According to transmission, the function of interaction demand.
Embedded real-time target machine is the SCM system based on unified fiber optic network design, and system is by integrated motherboard and more A LRM module composition, all modules are integrated in motherboard, are if possible also provided spare module slot and are expanded for system function Exhibition.It mainly includes power module unit, core calculations unit, optical fiber interface and Ethernet interface and storage unit that it is internal.
General high property is used in order to meet operational efficiency and good user experience, the main control computer of analysis of experiments system It can work station.Meanwhile main control computer has reserved pci interface, to realize through multichannel Ethernet and data simulator and embedding Enter the function that formula real-time processor carries out communication and the host computer as embedded real-time processor.
Fig. 5 shows the software architecture of the embedded real-time diagnosis reasoning algorithm pilot system of aircraft of the invention.
Fig. 6 shows main control computer software configuration, is task creation, Row control, verifying evaluation three from function division A part.
Task creates function and mainly passes through die-filling piece of reality under identifying object selecting module, direct fault location module and algorithm are registered It is existing.Firstly, for the algorithm verified for the first time, die-filling piece is registered down by algorithm, algorithm information is registered to main control software data Library, and by being attached in target machine under Workbench.User is by identifying object selecting module selecting object information, including calculates Method application, running environment parameter, algorithm parameter.Then, the source type of data, data are selected by direct fault location module The size of collection, the distribution of sample, the setting etc. of fault trend, and determine the Equivalent task occupancy level for needing to produce.Finally, soft The verification setting demand of user is converted control instruction by part.
Row control function mainly passes through Collaborative Control module and communication module is realized.Firstly, the verifying after starting is appointed Business merging validation task queue, and its mode bit is marked, then, by monitoring the working condition of each system node, according to task Priority and state in which, mission bit stream is sent to the system node being in idle condition.It is being by validation task The storehouse united outside node maximizes the working efficiency of system node, optimization verifying process.Meanwhile the finger of each node of validation task It enables and data information is all recorded in data memory module, realize the all-the-way tracking of validation task and can reappear, ensure that verifying is appointed The objectivity of business.
Verifying Function of Evaluation mainly passes through verifying evaluation base module and verifying assessment and interpretation of result module is realized.With Family according to the knowledge in verifying evaluation knowledge base, selects and creates several verifying indexs and final total property shared by them first The weight that can be scored, forms the verifying index scheme of the task.It has been run when the state of system detection to the task is in algorithm Cheng Shi, it is automatic to call verifying assessment and interpretation of result module, each index value is calculated, compares, provides with the required value of user Verify evaluation conclusion, can also the weight according to shared by each index, comprehensive performance scoring is provided, convenient for the across comparison of similar algorithm.
Fig. 7 shows that the software architecture of digital simulation device, functional structure can be divided into display control module, data Acquisition module, data processing module and interface module.
Display control module: being responsible for the queue process control that entire data generate, and different types of data are generated task It is sent to distinct interface.The control instruction that main control computer is sent is converted into the acquisition requirement of testing stand or simulation model and goes through The generation requirement of history data, and call simulation model software or the data reorganizer based on MATLAB.
Data acquisition module: the capture program including testing stand, the caller of simulation model and based on MATLAB's Three independent submodules of data reorganizer.The data acquisition instructions that display control module is sent are received, corresponding son is called Generated data are sent to data processing module by module.
Data processing module: receive data acquisition module send acquired original data, according to algorithm service requirement into Generated data are sent to data memory module by row regularization.
Data memory module: the data that data processing module is sent are received, are stored as historical data, and be sent to interface mould Block.Historical data recombination module also is supplied to as data source simultaneously.
Interface module: it is divided into fiber optic communication and ethernet communication both of which.Bottom based on C voice sends function and is responsible for Data are sent to embedded target machine by sonet card.Interactive display module based on LabVIEW is responsible for the data that will be generated Information be shown to user, and data are sent to virtual embedded environment by Ethernet.
Fig. 8 shows the software of embedded target machine of the invention.The real time operating system of airborne embedded target machine Most important feature is exactly the high real-time that it has, and is different from software installation side under common computer operations system environments The load of formula, operating system and software needs to download by the Workbench environment in host computer, and this mode limits The real-time loading of the algorithm of verifying to be tested is made.The considerations of for analysis of experiments process optimization angle, using will be multiple to be tested It is fitted into embedded real-time processor under card algorithm, and the algorithm calling module by designing carries out the dynamic tune of algorithm to be verified The efficiency of analysis of experiments process can be greatly promoted with the mode of, configuration.It is introduced on the basis that algorithms selection is completed corresponding The equivalent resources of grade occupy task, and algorithm and equivalent resources are occupied program and run simultaneously, meanwhile, task monitoring modular is also opened Begin to execute monitoring task.Main control computer is sent by result information after the operation completion of diagnostic reasoning algorithm.
It is mostly to share same computing resource since the embedded diagnostic reasoning in practical airborne system is calculated with task computation , the variation of task computation can have a direct impact diagnostic reasoning speed.In order to enable the test verifying system ring built Border avoids diagnostic reasoning calculating that from can exclusively enjoying CPU and storage resource, leads to the reality of diagnostic reasoning close to practical airborne calculating environment The phenomenon that when property is fast, has differences with real system needs to design Equivalent Calculation task generation module in systems.
Equivalent Calculation task generation module by simulation task computation to the state and degree of the resource occupation such as CPU, memory, Design tunable task computation thread, for simulate with the occupancy of the resources such as the equivalent CPU of real system, memory, by it It is introduced in embedded OS target machine, is run simultaneously with diagnostic reasoning computational threads, simulate task computation to cpu resource Occupancy, and then reach the matching with real system real-time.Matching thread is coordinated by real-time to deploy in real time, to mould The case where change in resources such as CPU, memory in quasi- true environment.
In order to realize the design of Equivalent Calculation task, need first to design the accamalating quantity that program carries out overall calculation ability, Then the high priority that CPU and memory source are carried out by starting Equivalent task calculation procedure occupies, and pressure makes diagnostic reasoning Computing capability be suppressed to reach the actual conditions of simulated real system.
Three threads: monitoring resource are mainly run on real-time processor, real-time diagnosis processing and Equivalent task calculate.System It is real-time diagnosis processing routine the case where calculation resources are tied up by distinct program that reality is to be simulated in system, thus also needs to set The thread of an adjustable program running priority grade is counted to plan the calculation resources of real-time processor.
The running priority grade for needing to design Equivalent task calculation procedure herein is higher than real-time diagnosis processing routine, thus Can true Simulation Diagnosis solution process in calculation resources by the different degrees of resolving efficiency and ability in the case where tying up.
It is exactly calculation resources monitoring that real-time, which is coordinated and matches a link of most critical in fact,.
In the case where processor host frequency and memory size have all been fixed, need to create monitoring CPU to account in real time With the thread of rate and memory usage, to observe the occupancy of CPU and memory, and then accounted for in CPU and memory by different amplitudes Diagnosis process and diagnosis capability in the case where are tested, to carry out the simulation of actual conditions.
Further it is contemplated that using Floating-point Computation ability value come the operation energy for the real-time processor that more accurately quantizes Power, the stability Calculation number in its operation at full capacity can be set to 100% load, and vacant is 0.
Computing resource is distributed to Equivalent task calculating by real-time monitoring CPU and memory usage, and in advance, so that The available control of calculation resources for diagnosing solution process, can indirectly simulate true processor environment.
Equivalent task, which calculates to propose, is calculated as the adjustable stability Calculation program for calculating intensity, and its task is to preparatory It adjusts it and calculates intensity, make it possible to the preset real-time processor calculation resources of stable occupancy.According to preliminary estimation by its basis The strength grade for occupying calculation resources is designed as six gears, respectively 100% (occupying real-time processor calculation resources completely), 80%, 60%, 40%, 20% and 0% (being not take up calculation resources completely).Default design is 0%, is so that at real-time diagnosis It manages program and monopolizes real-time processor calculation resources, the demand of can then proceed in adjusts its gear to realize that the resource of varying strength accounts for With.
Equivalent task calculation procedure itself should be the adjustable calculation procedure for calculating intensity.In its operation In can should be supervised in the design according to resource according to the more stable occupancy real-time processor calculation resources of the gear preset The lasting monitoring calculation resources of program are controlled, the computing resource that Equivalent task calculation procedure can be stable is adjusted and occupies.System Running-course control module, Equivalent Calculation task generation module and diagnostic reasoning engine algorithms evaluation module run on master control meter In calculation machine.
Fig. 9 shows the first embodiment of the test method of the embedded real-time diagnosis reasoning algorithm of aircraft of the invention, It include: that master control set registers diagnostic reasoning algorithm to be verified;Master control set will pass through the diagnostic reasoning to be verified of registration Algorithms Integration is into embedded target machine;The digital simulation device according to master control set generation simulated fault data emulation Faulting instruction, startup separator simulation model generate corresponding simulated fault data;The embedded target machine utilizes described to be tested Card diagnostic reasoning algorithm makes inferences calculating to the simulated fault data, and calculated result is sent to master control set;Master control dress It sets by analyzing the calculated result, the performance of the diagnostic reasoning algorithm to be verified is evaluated.
Making inferences calculating to the simulated fault data using diagnostic reasoning algorithm to be verified includes: to connect from master control set The mission requirements of receipts;According to mission requirements, corresponding simulated fault data are read in from the digital simulation device;Using to be tested Card diagnostic reasoning algorithm calculates corresponding simulated fault data.
Master control set carries out evaluation packet to the performance of the diagnostic reasoning algorithm to be verified by analyzing the calculated result Include: by the calculated result fault type and quantity and the simulated fault instruct involved in fault type and quantity into Row matching treatment;According to the matching degree of matching treatment, the performance of the diagnostic reasoning algorithm to be verified is evaluated.
Calculating is made inferences to the simulated fault data using diagnostic reasoning algorithm to be verified further include: receive the number Comprising tie up grade instruction is tied up according to the computing resource from the master control set of simulator forwarding;It is squeezed according to described The grade that ties up in instruction is accounted for, non-diagnostic reasoning algorithm in airborne calculating environment is set and ratio is tied up for computing resource;? It is respectively the feelings that non-diagnostic reasoning algorithm and diagnostic reasoning algorithm to be verified distribute corresponding computing resource according to the ratio that ties up Under condition, the resolving efficiency and ability of diagnostic reasoning algorithm to be verified when computing resource is tied up are obtained, and send it to master control Device.
Master control set carries out evaluation packet to the performance of the diagnostic reasoning algorithm to be verified by analyzing the calculated result It includes: by fault type quantity progress involved in the fault type quantity and simulated fault instruction in the calculated result With processing;The resolving efficiency of diagnostic reasoning algorithm to be verified when being tied up according to the matching degree and computing resource of matching treatment And ability, evaluate the performance of the diagnostic reasoning algorithm to be verified.
Fault simulation model simulates the failure of Hydrauservo System, generate include electron-amplifier abrupt gain, Electron-amplifier gain is gradual and the fault data of hydraulic cylinder interior leakage dew.
The resolving efficiency and ability for obtaining diagnostic reasoning algorithm to be verified when computing resource is tied up include: to examine each Software and hardware resources occupancy situation during disconnected reasoning task operation is counted;Monitoring is added in a program by way of pitching pile Point, the performance monitoring information during each position information progress collect statistics are finally obtained task run.
Distributing corresponding computing resource for non-diagnostic reasoning algorithm is realized by running Equivalent Calculation program.
The running priority grade of Equivalent Calculation program is higher than the running priority grade of diagnostic reasoning algorithm to be verified, so as to according to institute That states master control set ties up instruction, preferentially runs diagnostic reasoning algorithm to be verified.
Computing resource ties up the CPU usage and memory usage of the thread including running the Equivalent Calculation program.
Figure 10 shows the second embodiment of the test method of the embedded real-time diagnosis reasoning algorithm of aircraft of the invention, It include: that master control set registers diagnostic reasoning algorithm to be verified;Master control set will pass through the diagnostic reasoning to be verified of registration Algorithms Integration is into embedded target machine;The failure for the injection physical fault data that digital simulation device is issued according to master control set Injection instruction, obtains corresponding physical fault data from testing stand fault injection system;Described in the embedded target machine utilizes Diagnostic reasoning algorithm to be verified makes inferences calculating to the physical fault data, and calculated result is sent to master control set;It is main Device is controlled by analyzing the calculated result, the performance of the diagnostic reasoning algorithm to be verified is evaluated.
Making inferences calculating to the physical fault data using diagnostic reasoning algorithm to be verified includes: reception master control set Mission requirements;According to the mission requirements, corresponding physical fault data are read in from the digital simulation device;Using to Verifying diagnostic reasoning algorithm calculates corresponding physical fault data.
Master control set carries out evaluation packet to the performance of the diagnostic reasoning algorithm to be verified by analyzing the calculated result It includes: by fault type quantity progress involved in the fault type quantity and direct fault location instruction in the calculated result With processing;According to the matching degree of matching treatment, the performance of the diagnostic reasoning algorithm to be verified is evaluated.
Making inferences calculating to the physical fault data using diagnostic reasoning algorithm to be verified includes: to receive the data The computing resource from the master control set of simulator forwarding ties up instruction comprising tie up grade;It is tied up according to described Grade is tied up in instruction, non-diagnostic reasoning algorithm in airborne calculating environment is set and ratio is tied up for computing resource;It is pressing The case where ratio is respectively non-diagnostic reasoning algorithm and diagnostic reasoning algorithm to be verified distribution corresponding computing resource is tied up according to described Under, the resolving efficiency and ability of diagnostic reasoning algorithm to be verified when computing resource is tied up are obtained, and send it to master control dress It sets.
Master control set carries out evaluation packet to the performance of the diagnostic reasoning algorithm to be verified by analyzing the calculated result It includes: fault type involved in the fault type quantity and direct fault location instruction in the calculated result and quantity is carried out Matching treatment;The resolving effect of diagnostic reasoning algorithm to be verified when being tied up according to the matching degree and computing resource of matching treatment Rate and ability evaluate the performance of the diagnostic reasoning algorithm to be verified.
Master control set is communicated with the digital simulation device and the embedded target machine by local network transport, institute It states digital simulation device and is communicated with the embedded target machine by optical fiber.
The resolving efficiency and ability for obtaining diagnostic reasoning algorithm to be verified when computing resource is tied up include: to examine each Software and hardware resources occupancy situation during disconnected reasoning task operation is counted;Monitoring is added in a program by way of pitching pile Point, the performance monitoring information during each position information progress collect statistics are finally obtained task run.
Distributing corresponding computing resource for non-diagnostic reasoning algorithm is realized by running Equivalent Calculation program.Wherein, etc. The running priority grade for imitating calculation procedure is higher than the running priority grade of diagnostic reasoning algorithm to be verified, so as to according to the master control set Tie up instruction, preferentially run diagnostic reasoning algorithm to be verified.
Computing resource ties up the CPU usage and memory usage of the thread including running the Equivalent Calculation program.
Figure 11 shows the test method 3rd embodiment of the embedded real-time diagnosis reasoning algorithm of aircraft of the invention, packet Include: master control set registers diagnostic reasoning algorithm to be verified;Master control set calculates the diagnostic reasoning to be verified by registration Method is integrated into embedded target machine;The historical failure sense order that digital simulation device is issued according to master control set, goes through from it Corresponding historical failure data is read in history Mishap Database;The embedded target machine is calculated using the diagnostic reasoning to be verified Method makes inferences calculating to the historical failure data, and calculated result is sent to master control set;Master control set passes through analysis institute Calculated result is stated, the performance of the diagnostic reasoning algorithm to be verified is evaluated.
It include: to receive master control to fill to calculating is made inferences to the historical failure data using diagnostic reasoning algorithm to be verified The mission requirements set;According to the mission requirements, corresponding historical failure data is read in from digital simulation device;Using to be tested Card diagnostic reasoning algorithm calculates corresponding physical fault data.
Master control set carries out evaluation packet to the performance of the diagnostic reasoning algorithm to be verified by analyzing the calculated result It includes: fault type and quantity that the fault type quantity in calculated result is related to historical failure sense order is carried out at matching Reason;According to the matching degree of matching treatment, the performance of the diagnostic reasoning algorithm to be verified is evaluated.
Making inferences calculating to the historical failure data using diagnostic reasoning algorithm to be verified includes: to receive the data The computing resource from the master control set of simulator forwarding ties up instruction comprising tie up grade;It is tied up according to described Grade is tied up in instruction, non-diagnostic reasoning algorithm in airborne calculating environment is set and ratio is tied up for computing resource;It is pressing The case where ratio is respectively non-diagnostic reasoning algorithm and diagnostic reasoning algorithm to be verified distribution corresponding computing resource is tied up according to described Under, the resolving efficiency and ability of diagnostic reasoning algorithm to be verified when computing resource is tied up are obtained, and send it to master control dress It sets.
Master control set carries out evaluation packet to the performance of the diagnostic reasoning algorithm to be verified by analyzing the calculated result Include: by the calculated result fault type and quantity and the direct fault location instruct involved in fault type and quantity into Row matching treatment;
The resolving effect of diagnostic reasoning algorithm to be verified when being tied up according to the matching degree and computing resource of matching treatment Rate and ability evaluate the performance of the diagnostic reasoning algorithm to be verified.
Master control set is communicated with the digital simulation device and the embedded target machine by local network transport, institute It states digital simulation device and is communicated with the embedded target machine by optical fiber.
The resolving efficiency and ability for obtaining diagnostic reasoning algorithm to be verified when computing resource is tied up include: to examine each Software and hardware resources occupancy situation during disconnected reasoning task operation is counted;Monitoring is added in a program by way of pitching pile Point, the performance monitoring information during each position information progress collect statistics are finally obtained task run.
Distributing corresponding computing resource for non-diagnostic reasoning algorithm is realized by running Equivalent Calculation program.Wherein, etc. The running priority grade for imitating calculation procedure is higher than the running priority grade of diagnostic reasoning algorithm to be verified, so as to according to the master control set Tie up instruction, preferentially run diagnostic reasoning algorithm to be verified.Computing resource is tied up including running the Equivalent Calculation program The CPU usage and memory usage of thread.
Embedded real-time diagnosis reasoning algorithm demo system of the invention is the test of the embedded real-time diagnosis design of aircraft The design of analysis system experiment process is laid a good foundation.Its method ensure that the orderly progress of test.
Although describing the invention in detail above, but the invention is not restricted to this, those skilled in the art of the present technique It can be carry out various modifications with principle according to the present invention.Therefore, all to be modified according to made by the principle of the invention, all it should be understood as Fall into protection scope of the present invention.

Claims (10)

1. a kind of pilot system of the embedded real-time diagnosis reasoning algorithm of aircraft, for verifying the embedded diagnosis of aircraft on the ground Reasoning algorithm, which is characterized in that the pilot system includes:
Master control set, for being registered to diagnostic reasoning algorithm to be verified, by the diagnostic reasoning algorithm to be verified by registration It is integrated into embedded target machine, the failure for being concurrently born into fault data generates instruction;
Connect the data mould with acquisition physical fault data, historical failure storage and fault simulation function of the master control set Quasi- device, the failure for the sending according to master control set generate instruction, generate corresponding fault data;
It is separately connected the embedded target machine of the master control set and the digital simulation device, for connecing from the master control set The diagnostic reasoning algorithm to be verified by registration is received, receives the fault data from the digital simulation device;It is logical It crosses and runs the diagnostic reasoning algorithm to be verified, calculating is made inferences to the received fault data of institute, and fault type will be contained The calculated result of quantity is sent to master control set;
Wherein, the master control set is by analysis from the calculating containing fault type quantity described in the embedded target machine As a result, evaluating the performance of the diagnostic reasoning algorithm to be verified;
Wherein, the digital simulation device generates instruction according to the failure of the sending of master control set and generates corresponding fault data packet It includes:
When it is that simulated fault generates instruction that the failure that master control set issues, which generates instruction, the digital simulation device is according to Simulated fault generates the simulated fault data that instruction generates;
When it is physical fault injection instruction that the failure that master control set issues, which generates instruction, the digital simulation device is according to reality Direct fault location instructs the corresponding physical fault data obtained from testing stand fault injection system;
When it is historical failure sense order that the failure that master control set issues, which generates instruction, the digital simulation device is according to history The corresponding historical failure data that failure sense order is read from historical failure data library.
2. pilot system according to claim 1, which is characterized in that the embedded target machine includes:
For receiving the receiving module of mission requirements;
For the read module of corresponding fault data to be read in from the digital simulation device according to the mission requirements;
Computing module for being calculated using the diagnostic reasoning algorithm to be verified corresponding fault data.
3. pilot system according to claim 2, which is characterized in that the master control set includes:
Related fault type and number are instructed for generating the fault type quantity in the calculated result with the failure Amount carries out the matching treatment module of matching treatment;
For the matching degree according to matching treatment, the evaluation module of the performance of the diagnostic reasoning algorithm to be verified is evaluated.
4. pilot system according to claim 2, which is characterized in that the embedded target machine further includes computer money Source ties up module, is used for:
Receive that the master control set issues ties up instruction for tie up computing resource;
According to the grade that ties up for tying up and instructing and including, sets non-diagnostic reasoning algorithm in airborne calculating environment and provided for calculating Source ties up ratio;
It is being respectively that non-diagnostic reasoning algorithm and corresponding calculate of diagnostic reasoning algorithm to be verified distribution provide according to the ratio that ties up In the case where source, the resolving efficiency and ability of diagnostic reasoning algorithm to be verified when computing resource is tied up are obtained, and be sent to To master control set.
5. pilot system according to claim 4, which is characterized in that the matching treatment module of master control set is by the calculating As a result fault type quantity and the failure in, which generate, instructs related fault type quantity to carry out matching treatment;Master control dress The solution of the evaluation module set diagnostic reasoning algorithm to be verified when being tied up according to the matching degree and computing resource of matching treatment Efficiency and ability are calculated, the performance of the diagnostic reasoning algorithm to be verified is evaluated.
6. pilot system according to claim 1, which is characterized in that the fault simulation model pair of the digital simulation device The failure of Hydrauservo System is simulated, generate include electron-amplifier abrupt gain, electron-amplifier gain it is gradual and The fault data of hydraulic cylinder interior leakage dew.
7. pilot system according to claim 4, which is characterized in that described ties up module by following processing, obtains The resolving efficiency and ability of computing resource diagnostic reasoning algorithm to be verified when being tied up:
Software and hardware resources occupancy situation during each diagnostic reasoning task run is counted;
Monitoring point is added in a program by way of pitching pile, each position information progress collect statistics are finally obtained into task run The performance monitoring information of period.
8. pilot system according to claim 4, which is characterized in that it is described for non-diagnostic reasoning algorithm distribute it is mutually accrued Calculating resource is realized by running Equivalent Calculation program.
9. pilot system according to claim 8, which is characterized in that the running priority grade of the Equivalent Calculation program is higher than The running priority grade of diagnostic reasoning algorithm to be verified is preferentially run to be verified to tie up instruction according to the master control set Diagnostic reasoning algorithm.
10. pilot system according to claim 9, which is characterized in that it is described tie up computing resource include run it is described etc. Imitate the CPU usage and memory usage of the thread of calculation procedure.
CN201610551143.0A 2016-07-13 2016-07-13 The embedded real-time diagnosis reasoning algorithm pilot system of aircraft Expired - Fee Related CN106295809B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610551143.0A CN106295809B (en) 2016-07-13 2016-07-13 The embedded real-time diagnosis reasoning algorithm pilot system of aircraft

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610551143.0A CN106295809B (en) 2016-07-13 2016-07-13 The embedded real-time diagnosis reasoning algorithm pilot system of aircraft

Publications (2)

Publication Number Publication Date
CN106295809A CN106295809A (en) 2017-01-04
CN106295809B true CN106295809B (en) 2018-12-14

Family

ID=57651903

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610551143.0A Expired - Fee Related CN106295809B (en) 2016-07-13 2016-07-13 The embedded real-time diagnosis reasoning algorithm pilot system of aircraft

Country Status (1)

Country Link
CN (1) CN106295809B (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112051039A (en) * 2019-06-05 2020-12-08 大连中和聚能自动控制系统有限公司 Experiment table system for fault simulation of pneumatic actuating mechanism
CN110688313B (en) * 2019-09-26 2022-11-18 天津津航计算技术研究所 Fault injection method for software testing under VxWorks operating system
CN111896244B (en) * 2020-07-29 2023-04-07 天地(常州)自动化股份有限公司 Fully mechanized mining equipment PHM system
CN111896246A (en) * 2020-07-29 2020-11-06 北京天地龙跃科技有限公司 Health management verifies evaluation system
CN114625098B (en) * 2020-12-10 2023-10-20 中国科学院沈阳自动化研究所 Preemptive fault processing method for underwater robot

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101118533A (en) * 2007-09-07 2008-02-06 上海广电(集团)有限公司中央研究院 Algorithm entity verification system and method
CN102998996A (en) * 2012-12-07 2013-03-27 陕西千山航空电子有限责任公司 Airborne real-time fault diagnosis method
CN103559112A (en) * 2013-11-05 2014-02-05 北京经纬恒润科技有限公司 Software fault injection method and system
CN105743677A (en) * 2014-12-10 2016-07-06 中国移动通信集团公司 Resource configuration method and apparatus

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7412371B2 (en) * 2004-06-08 2008-08-12 Northrop Grumman Corporation Time synchronized playback and control of dissimilar data files

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101118533A (en) * 2007-09-07 2008-02-06 上海广电(集团)有限公司中央研究院 Algorithm entity verification system and method
CN102998996A (en) * 2012-12-07 2013-03-27 陕西千山航空电子有限责任公司 Airborne real-time fault diagnosis method
CN103559112A (en) * 2013-11-05 2014-02-05 北京经纬恒润科技有限公司 Software fault injection method and system
CN105743677A (en) * 2014-12-10 2016-07-06 中国移动通信集团公司 Resource configuration method and apparatus

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
基于多总线的飞机电气故障模拟实验系统设计;王秋生等;《计算机测量与控制》;20100131;第18卷(第1期);44-47 *
基于故障树的飞机故障诊断专家系统技术研究;訾超;《中国优秀硕士学位论文全文数据库工程科技II辑》;20160315(第3期);第31-48页 *

Also Published As

Publication number Publication date
CN106295809A (en) 2017-01-04

Similar Documents

Publication Publication Date Title
CN106295809B (en) The embedded real-time diagnosis reasoning algorithm pilot system of aircraft
CN106294121B (en) The embedded real-time diagnosis reasoning algorithm test method of aircraft
CN114415630B (en) Comprehensive test platform and method for airplane management system
CN102955882B (en) Automatic detection simulation analog system of ultra-large intelligent electric energy meter
CN104915482B (en) A kind of satellite data reception Simulation Platform
CN102122165B (en) FAL (Flexible Assembly Line) management and control strategy experimental platform and management and control strategy experimental method
CN108052744A (en) Avionic software simulation synthetic test and verification platform
CN102141962A (en) Safety distributed test framework system and test method thereof
CN108255720A (en) Software automatic test system based on cloud computing framework
CN102750301B (en) Blueprint generating method for integrated avionic system model aiming at architecture analysis and design language (AADL) description
CN104572370B (en) For the system and method by test environment test controller
CN106295808B (en) The embedded real-time diagnosis reasoning algorithm test method of aircraft
CN107562969A (en) The integrated approach and device of aeroengine control system software
CN106453506A (en) Resource unified scheduling test system and method
CN108009097A (en) Towards the cloud computing emulation test method and device of rail traffic signal system
CN107944193A (en) Avionics semi-matter simulating system
CN108334447A (en) A kind of system and method for test processes computer software exception
CN108427776A (en) Distributed all digital combined simulation system and method
CN107612962A (en) A kind of distributed emulation evaluation test management system
CN110471857A (en) The automatic test approach and device of artificial intelligence model performance capability
CN109813999A (en) A kind of Fault Diagnosis of Distribution Network algorithm automatically testing platform, method and application
CN110413527A (en) Test macro, test method, electronic equipment and computer readable storage medium
CN107992411A (en) A kind of method for building task management system software virtual testing environment
CN106951556A (en) The consistency desired result method and system of power distribution network artwork under offline environment
CN109614321A (en) For the continuous integrating of ATS software and the system of delivery

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20200610

Address after: No. 214, xiaoxinzhuang village, Beifang Town, Huairou District, Beijing

Patentee after: Beijing Hengxing Yikang Technology Co.,Ltd.

Address before: 100191 Beihang University, Haidian District, Xueyuan Road, 37, Beijing

Patentee before: BEIHANG University

CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20181214