CN103487276A - State monitoring and fault diagnosis universal platform based on CAN bus - Google Patents
State monitoring and fault diagnosis universal platform based on CAN bus Download PDFInfo
- Publication number
- CN103487276A CN103487276A CN201310470088.9A CN201310470088A CN103487276A CN 103487276 A CN103487276 A CN 103487276A CN 201310470088 A CN201310470088 A CN 201310470088A CN 103487276 A CN103487276 A CN 103487276A
- Authority
- CN
- China
- Prior art keywords
- data
- bus
- control module
- fault
- treating apparatus
- 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.)
- Granted
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Testing And Monitoring For Control Systems (AREA)
Abstract
A state monitoring and fault diagnosis universal platform based on a CAN bus comprises the CAN bus and a relay. The CAN bus is divided into different network segments through the relay, so that a control unit of each subsystem belongs to the same network segment. The platform further comprises a monitoring and diagnosis device connected with a preceding network segment of the CAN bus. Monitoring and diagnosis data of the monitoring and diagnosis device are all obtained from a bus data platform of an original system, and state signal flows of each sub system generated when a transmitting platform works are obtained continuously to form time relative data of a work state of the transmitting platform. According to the state monitoring and fault diagnosis universal platform, the time relative data and a fault diagnosis model are combined, and characteristic parameters are extracted from data flows and inputted into a knowledge base to serve as information bases of fault diagnosis. The fault diagnosis model corresponds to the characteristic parameters of each sub system and is independent from the transmitting platform, so when the state monitoring and fault diagnosis universal platform is used on different transmitting platforms, what is needed is to lead in a corresponding characteristic parameter bank, and universality of meta-knowledge input of a diagnosed system is achieved.
Description
Technical field
The present invention relates to a kind of signal monitoring system, particularly relate to a kind of monitoring system of the live signal for electromechanical integration.
Background technology
Civilian flat pad is equipped as electromechanical integration, whether can grasp at any time its performance state and predict in advance its fault and occur, be related to and whether can improve the mean free error time, effectively shorten setup time, guarantee emission efficiency, guarantee personal security, reduce a series of critical problems such as maintenance cost.
Complicacy due to flat pad self, at present, most flat pads are not also set up fault diagnosis system, and existing fault diagnosis system is how non-automatic diagnosis also, some diagnostic system needs original connection in parting system while using, and the separate diagnostic testing apparatus is accessed.After fault occurs, need manually will control acquisition circuit and disconnect, and access testing apparatus, the method non-productive operation personnel that search for fault tree by craft complete the investigation of fault.
At present, it is perfect that the design of each subsystem of flat pad progressively is tending towards, and each Subsystem Design is also increasingly sophisticated, and this work of maintenance support to flat pad has proposed requirements at the higher level; On the other hand, flat pad information control system adopts the distributed control based on dual-redundant CAN bus, article two, the CAN bus forms communication network by each subsystem by electric connector, in the situation that isolation requirement is arranged between subsystem, network can be realized a minute network segment design by the CAN repeater, each subsystem realizes information sharing by dual CAN bus and network relay equipment, and this lays a good foundation for the information of flat pad and fault diagnosis.Owing to having dimension, the skimble-scamble present situation of parameter physical type between each subsystem data, current flat pad fault diagnosis system is in automatism, versatility and and still need to be optimized design aspect the coupling between diagnostic system.
Summary of the invention
The purpose of this invention is to provide a kind of condition monitoring and fault diagnosis general-purpose platform based on the CAN bus, solve when each subsystem status data of flat pad and signal are monitored and analyzed the technical matters that coupling property associated with the data between each system can't active balance.
The present invention is based on the condition monitoring and fault diagnosis general-purpose platform of CAN bus, comprise CAN bus and repeater, by repeater, the CAN bus is divided into to the different network segments, make the control module of each subsystem belong to the same network segment; Also comprise and a monitoring and diagnosis device that the network segment is connected on the CAN bus.
Described monitoring and diagnosis device is comprised of bus data collector, data storing and forwarding device, fault warning data judgment means, event data treating apparatus, regular data treating apparatus, data characteristics parameter memory and data fusion device;
The data input pin of bus data collector connects the CAN bus, the data output end difference connection data storing and forwarding device of bus data collector and the data input pin of fault warning data judgment means, the data input pin of the first data output end connection event data processing equipment of fault warning data judgment means, the data input pin of the first data output end concatenate rule data processing equipment of event data treating apparatus, the data input pin of the first data output end connection data characteristic parameter memory storage of regular data treating apparatus, the second data output end of fault warning data judgment means, the second data output end of event data treating apparatus, the second data output end of regular data treating apparatus and the data output end of data characteristics parameter memory be the data input pin of connection data fusing device respectively, the controlled end of the control end connection data storing and forwarding device of data fusion device, the data input pin of the data output end connection data fusing device of data storing and forwarding device, the data output end of data fusion device connects upper computing system or display system,
Bus data collector, for continuous collecting broadcast data the CAN bus, and two-way parallel output broadcast data;
The data storing and forwarding device, for receiving and store broadcast data, export the specific data in broadcast data according to the controlled end signal to data fusion device;
The fault warning data judgment means, for the data filtering condition according to built-in, filter out the alarm data in broadcast data; And alarm data is forwarded to event data treating apparatus and data fusion device;
The event data treating apparatus, for the event type data according to built-in, determine the fault type that alarm data is corresponding, determines the control module that fault relates to, and fault type and the control module related to are forwarded to regular data treating apparatus and data fusion device;
The regular data treating apparatus, be used for according to built-in fault judgment rule data, determine that the control module corresponding failure type related to judges required parameter of regularity, and by judgment rule parameter and the control module forwarding data characteristic parameter memory storage and the data fusion device that relate to;
The data characteristics parameter memory, for the control module characteristic parameter collection according to built-in, determine the judgment rule parameter the characteristic parameter of corresponding control module, and by characteristic parameter and the control module forwarding data fusing device that relates to;
Data fusion device, according to the control module characteristic parameter related to, the formation control end data, read the data of corresponding control module individual features from the data storing and forwarding device, in conjunction with alarm data, fault type, judgment rule formation demonstration data or the fault judgement data of corresponding control module.
Real-time Collection equipment is set in the described network segment, and Real-time Collection equipment has been used for collection and the forwarding of each control module internal state parameter of same subsystem; The signal input part of Real-time Collection equipment connects the internal state signal output part of each control module in same subsystem, and the signal output part of Real-time Collection equipment connects the CAN bus of the same subsystem place network segment.
Condition monitoring and fault diagnosis general-purpose platform based on the CAN bus is monitored a kind of method with fault diagnosis, comprises the following steps:
S100, flat pad starts, each subsystem operation;
S110, bus data collector starts the broadcast data on data acquisition bus;
S120, data storing and forwarding device store broadcast data;
S130, the fault warning data judgment means is filtered broadcast data, obtains alarm data;
S140, the event data treating apparatus is determined fault type and control module according to alarm data;
S150, the regular data treating apparatus is determined the parameter of judgment rule according to fault type;
S160, the data characteristics parameter memory provide the respective rule parameter the characteristic parameter of corresponding control module;
S170, data fusion device reads the data of corresponding control module individual features from the data storing and forwarding device according to characteristic parameter, form demonstration data or the uploading data of monitoring and alarm process in conjunction with alarm data, fault type, judgment rule;
S180, subsystem is out of service.
System of the present invention, by the relay connection with the CAN bus, is set up data and signal network acquisition node based on the CAN bus, and by the access of CAN interface, by diagnostic system CAN bus, its monitoring and diagnostic data all obtain from the bus data platform of original system; The status signal stream of each subsystem while continuing to obtain flat pad work, form the Time Correlation Data of the duty of flat pad, native system utilizes Time Correlation Data in conjunction with fault diagnosis model, extracts the Information base of characteristic parameter typing knowledge base as fault diagnosis from data stream.
Fault diagnosis model is corresponding with the characteristic parameter of each subsystem, relatively independent with flat pad, in the time of can realizing using on different flat pads, as long as import corresponding characteristic parameter storehouse, has realized by the versatility of diagnostic system meta-knoeledge typing.
Fault diagnosis model by failure code, judgment rule, fault restoration related data all with the mode typing knowledge base of nodal community, realize the associated of the level of fault diagnosis system fault diagnosis and related data and bottom event, and realized the general data processing method of serving as theme with each system node attribute.
Rely on the fault alarm function of subsystem self, trigger the work of this diagnostic device, the combination of realization and system under test (SUT) operating mechanism is by the fault diagnosis model showed to resemble dictionary and nodal community, fault diagnosis knowledge is associated, with automatism and the versatility that realizes the fault diagnosis platform.
Below in conjunction with accompanying drawing, embodiments of the invention are described further.
The accompanying drawing explanation
Fig. 1 is the structural representation that the present invention is based on the condition monitoring and fault diagnosis general-purpose platform of CAN bus;
Fig. 2 is the configuration diagram that the present invention is based on fault diagnosis in the condition monitoring and fault diagnosis general-purpose platform of CAN bus;
Fig. 3 is the process flow diagram that the present invention is based on monitoring and fault diagnosis in the condition monitoring and fault diagnosis general-purpose platform of CAN bus.
Embodiment
As shown in Figure 1, the present embodiment utilizes the CAN bussing technique, the repeater 02 of series connection CAN bus on the list of flat pad or dual CAN bus, make each control module 01 connected from the CAN bus be divided into the different network segments by repeater 02 on Physical layer, make the control module of each subsystem belong to the same network segment, guaranteed the low coupling between subsystem.A network segment of dividing by repeater, connect monitoring and diagnosis device 04, to obtain the valid data of broadcasting on bus.
Because the control module 01 of each subsystem exists interlocking mechanism and the signal correlation of 01 of control module when system is moved, cause the interior change of control module 01 often can not directly obtain from the CAN bus, causing can not complete detection and diagnosis to the duty of control module 01.Therefore in system, cohesion is stronger, in the lower subsystem network segment of status data handling capacity, Real-time Collection equipment (ATE) 03 is set, for completing collection and the forwarding of each control module 01 internal state parameter of same subsystem.The signal input part of Real-time Collection equipment 03 connects the internal state signal output part of each control module 01 in same subsystem, and the signal output part of Real-time Collection equipment 03 connects the CAN bus of the same subsystem place network segment.
Real-time Collection equipment 03, for completing the collection to the state parameter of corresponding control module 01 internal independence, and the data transmission format that state parameter is converted to the CAN bus sends to the CAN bus.
Like this by the division of repeater 02, monitoring and diagnosis device 04 can be accessed to any network segment or the independent network segment in the physical connection aspect to hang down the coupling form, reduce whole flat pad is impacted, the subsystem impact of the same network segment is minimized, also can obtain the status data that flat pad is complete, for further detailed diagnostics provides entire run information.
As shown in Figure 2, monitoring and diagnosis device 04 is comprised of bus data collector 4a, data storing and forwarding device 4b, fault warning data judgment means 4c, event data treating apparatus 4d, regular data treating apparatus 4e, data characteristics parameter memory 4f and data fusion device 4g.The data input pin of bus data collector 4a connects the CAN bus, the data output end difference connection data storing and forwarding device 4b of bus data collector 4a and the data input pin of fault warning data judgment means 4c, the data input pin of the first data output end connection event data processing equipment 4d of fault warning data judgment means 4c, the data input pin of the first data output end concatenate rule data processing equipment 4e of event data treating apparatus 4d, the data input pin of the first data output end connection data characteristic parameter memory storage 4f of regular data treating apparatus 4e, the second data output end of fault warning data judgment means 4c, the second data output end of event data treating apparatus 4d, the data output end of the second data output end of regular data treating apparatus 4e and data characteristics parameter memory 4f is the data input pin of connection data fusing device 4g respectively, the controlled end of the control end connection data storing and forwarding device 4b of data fusion device 4g, the data input pin of the data output end connection data fusing device 4g of data storing and forwarding device 4b, the data output end of data fusion device 4g connects upper computing system or display system.
Data storing and forwarding device 4b, for receiving and store broadcast data, export the specific data in broadcast data according to the controlled end signal to data fusion device 4g;
Fault warning data judgment means 4c, for the data filtering condition according to built-in, filter out the alarm data in broadcast data; And alarm data is forwarded to event data treating apparatus 4d and data fusion device 4g;
Event data treating apparatus 4d, be used for according to built-in event type data, determine the fault type that alarm data is corresponding, determine the control module that fault relates to, and fault type and the control module related to are forwarded to regular data treating apparatus 4e and data fusion device 4g;
Regular data treating apparatus 4e, be used for according to built-in fault judgment rule data, determine that the control module corresponding failure type related to judges required parameter of regularity, and by judgment rule parameter and the control module forwarding data characteristic parameter memory storage 4f and the data fusion device 4g that relate to;
Data characteristics parameter memory 4f, for the control module characteristic parameter collection according to built-in, determine the judgment rule parameter the characteristic parameter of corresponding control module, and by characteristic parameter and the control module forwarding data fusing device 4g that relates to;
By monitoring and diagnosis device 04, the characteristic parameter of alarm data, fault type, fault judgment rule and control module can be separated, by replacing fault warning data judgment means 4c, event data treating apparatus 4d, regular data treating apparatus 4e and the built-in data of data characteristics parameter memory 4f, just can be so that monitoring and diagnosis device 04 adapts to the fault judgement of different subsystems.And then can be applied to the detection and diagnosis of whole flat pad.
As shown in Figure 3, utilize the present embodiment to monitor and a kind of method of fault diagnosis, mainly comprise the following steps:
S100, flat pad starts, each subsystem operation;
S110, bus data collector 4a starts the broadcast data on data acquisition bus;
S120, data storing and forwarding device 4b store broadcast data;
S130, fault warning data judgment means 4c filters broadcast data, obtains alarm data;
S140, event data treating apparatus 4d determines fault type and control module according to alarm data;
S150, regular data treating apparatus 4e determines the parameter of judgment rule according to fault type;
S160, data characteristics parameter memory 4f provide the respective rule parameter the characteristic parameter of corresponding control module;
S170, data fusion device 4g reads the data of corresponding control module individual features from data storing and forwarding device 4b according to characteristic parameter, form demonstration data or the uploading data of monitoring and alarm process in conjunction with alarm data, fault type, judgment rule;
S180, subsystem is out of service.
By above method, can realize each step of fault diagnosis is combined flexibly, just can complete the monitoring and diagnosis to specific subsystem or full platform by changing built-in data.
In a kind of specific implementation of the present invention, by usining object dictionary as data characteristics parameter memory 4f, object dictionary has been stored by all characteristic parameters of diagnostic system.Store judgment rule in regular data treating apparatus 4e, for example " be greater than 1A if YA11 controls electric current, and valve member do not move, YA11 valve member clamping stagnation or damage ".Storage failure type in event data treating apparatus 4d, for example " the XX pipeline pressure is abnormal ".Obtain alarm data in fault warning data judgment means 4c, for example " 01001000011 ".In actual motion, obtain the abnormal fault type of XX pipeline pressure by alarm data 01001000011, and then obtain the Rule of judgment of judgment rule, determine the valve member control electric current in Rule of judgment by object dictionary, two characteristic parameters of valve member action, and then obtain the concrete data of individual features parameter to data storing and forwarding device 4b by data fusion device 4g, form and show data or fault judgement data in conjunction with Rule of judgment.
Obtain the isolating construction of monitoring and diagnosis step by monitoring and diagnosis device 04, realized flexible associated by between diagnostic system and diagnostic system, more easily realize the versatility that interface and rule are set up.
Realized diagnostic system by " fault analysis-> event analysis-rule analysis-the characteristic parameter analysis " step, analyze by all characteristic parameters of diagnostic system, form a set of characteristic parameters, this set is object dictionary, in object dictionary, each characteristic parameter is unique, certain characteristic parameter no longer belongs to certain rule or certain tree, but be unified in object dictionary, stores.When needs are determined the displaying contents of display interface or set up rule, only need to choose from object dictionary and arrange and get final product.Therefore, for different, by diagnostic system, its interface and regular diversity, can make it universalization by this medium of object dictionary.
For object dictionary, various characteristic attributes are all the ingredients of object dictionary, characteristic parameter and method for maintaining, spare part information etc. are all the attributes of this control module, serve as theme with attribute, just expertise (comprising the knowledge such as judgment rule, method for maintaining) can be obtained and typing with standardization and unitized method.
Above-described embodiment is described the preferred embodiment of the present invention; not scope of the present invention is limited; design under the prerequisite of spirit not breaking away from the present invention; various distortion and improvement that those of ordinary skills make technical scheme of the present invention, all should fall in the definite protection domain of the claims in the present invention book.
Claims (4)
1. the condition monitoring and fault diagnosis general-purpose platform based on the CAN bus, comprise CAN bus and repeater (02), it is characterized in that: by repeater (02), the CAN bus is divided into to the different network segments, makes the control module (01) of each subsystem belong to the same network segment; Also comprise and a monitoring and diagnosis device (04) that the network segment is connected on the CAN bus.
2. the condition monitoring and fault diagnosis general-purpose platform based on the CAN bus according to claim 1, it is characterized in that: described monitoring and diagnosis device (04) is comprised of bus data collector (4a), data storing and forwarding device (4b), fault warning data judgment means (4c), event data treating apparatus (4d), regular data treating apparatus (4e), data characteristics parameter memory (4f) and data fusion device (4g);
The data input pin of bus data collector (4a) connects the CAN bus, the data output end difference connection data storing and forwarding device (4b) of bus data collector (4a) and the data input pin of fault warning data judgment means (4c), the data input pin of the first data output end connection event data processing equipment (4d) of fault warning data judgment means (4c), the data input pin of the first data output end concatenate rule data processing equipment (4e) of event data treating apparatus (4d), the data input pin of the first data output end connection data characteristic parameter memory storage (4f) of regular data treating apparatus (4e), the second data output end of fault warning data judgment means (4c), the second data output end of event data treating apparatus (4d), the data output end of the second data output end of regular data treating apparatus (4e) and data characteristics parameter memory (4f) is the data input pin of connection data fusing device (4g) respectively, the controlled end of the control end connection data storing and forwarding device (4b) of data fusion device (4g), the data input pin of the data output end connection data fusing device (4g) of data storing and forwarding device (4b), the data output end of data fusion device (4g) connects upper computing system or display system,
Bus data collector (4a), for continuous collecting broadcast data the CAN bus, and two-way parallel output broadcast data;
Data storing and forwarding device (4b), for receiving and store broadcast data, export the specific data in broadcast data according to the controlled end signal to data fusion device (4g);
Fault warning data judgment means (4c), for the data filtering condition according to built-in, filter out the alarm data in broadcast data; And alarm data is forwarded to event data treating apparatus (4d) and data fusion device (4g);
Event data treating apparatus (4d), be used for according to built-in event type data, determine the fault type that alarm data is corresponding, determine the control module that fault relates to, and fault type and the control module related to are forwarded to regular data treating apparatus (4e) and data fusion device (4g);
Regular data treating apparatus (4e), be used for according to built-in fault judgment rule data, determine that the control module corresponding failure type related to judges required parameter of regularity, and by judgment rule parameter and the control module forwarding data characteristic parameter memory storage (4f) and the data fusion device (4g) that relate to;
Data characteristics parameter memory (4f), for the control module characteristic parameter collection according to built-in, determine the judgment rule parameter the characteristic parameter of corresponding control module, and by characteristic parameter and the control module forwarding data fusing device (4g) that relates to;
Data fusion device (4g), according to the control module characteristic parameter related to, the formation control end data, read the data of corresponding control module individual features from data storing and forwarding device (4b), in conjunction with alarm data, fault type, judgment rule formation demonstration data or the fault judgement data of corresponding control module.
3. the condition monitoring and fault diagnosis general-purpose platform based on the CAN bus according to claim 1 and 2, it is characterized in that: Real-time Collection equipment (03) is set in the described network segment, and Real-time Collection equipment (03) is for completing collection and the forwarding of each control module of same subsystem (01) internal state parameter; The signal input part of Real-time Collection equipment (03) connects the internal state signal output part of each control module (01) in same subsystem, and the signal output part of Real-time Collection equipment (03) connects the CAN bus of the same subsystem place network segment.
4. monitor and a kind of method of fault diagnosis according to the described condition monitoring and fault diagnosis general-purpose platform based on the CAN bus of claims 1 to 3, it is characterized in that comprising the following steps:
S100, flat pad starts, each subsystem operation;
S110, bus data collector (4a) starts the broadcast data on data acquisition bus;
S120, data storing and forwarding device (4b) store broadcast data;
S130, fault warning data judgment means (4c) is filtered broadcast data, obtains alarm data;
S140, event data treating apparatus (4d) is determined fault type and control module according to alarm data;
S150, regular data treating apparatus (4e) is determined the parameter of judgment rule according to fault type;
S160, data characteristics parameter memory (4f) provide the respective rule parameter the characteristic parameter of corresponding control module;
S170, data fusion device (4g) reads the data of corresponding control module individual features from data storing and forwarding device (4b) according to characteristic parameter, form demonstration data or the uploading data of monitoring and alarm process in conjunction with alarm data, fault type, judgment rule;
S180, subsystem is out of service.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310470088.9A CN103487276B (en) | 2013-10-10 | 2013-10-10 | Based on the condition monitoring and fault diagnosis general-purpose platform of CAN |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310470088.9A CN103487276B (en) | 2013-10-10 | 2013-10-10 | Based on the condition monitoring and fault diagnosis general-purpose platform of CAN |
Publications (2)
Publication Number | Publication Date |
---|---|
CN103487276A true CN103487276A (en) | 2014-01-01 |
CN103487276B CN103487276B (en) | 2015-12-09 |
Family
ID=49827671
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310470088.9A Active CN103487276B (en) | 2013-10-10 | 2013-10-10 | Based on the condition monitoring and fault diagnosis general-purpose platform of CAN |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103487276B (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103970125A (en) * | 2014-05-06 | 2014-08-06 | 北京宇航***工程研究所 | Method for monitoring state of inertial measurement unit device in launch vehicle control system |
CN105158002A (en) * | 2015-08-28 | 2015-12-16 | 华南理工大学 | Circulating water heat exchanger fault diagnosis method based on vibration signal |
CN105897485A (en) * | 2016-06-06 | 2016-08-24 | 北京航天发射技术研究所 | Safe flow simulation method and system based on CAN (Controller Area Network) bus |
CN105933170A (en) * | 2016-07-07 | 2016-09-07 | 北京华电天仁电力控制技术有限公司 | Profibus data acquisition system |
CN106081166A (en) * | 2016-06-27 | 2016-11-09 | 北京航天发射技术研究所 | The Hot Spare control method of a kind of high-power driving device and control system |
CN106444532A (en) * | 2016-11-16 | 2017-02-22 | 北京航天发射技术研究所 | A software and hardware autonomously controllable launching vehicle control system configuration |
CN106598020A (en) * | 2016-11-02 | 2017-04-26 | 中国人民解放军***72465部队 | BIT and case fusion based equipment fault diagnosis method and system |
CN108809783A (en) * | 2017-04-27 | 2018-11-13 | 通用汽车环球科技运作有限责任公司 | Method and system for diagnosing controller Local Area Network |
CN109634786A (en) * | 2018-11-27 | 2019-04-16 | 佛山科学技术学院 | A kind of big data processing method and processing device for intelligence manufacture |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR100756745B1 (en) * | 2006-09-28 | 2007-09-07 | 현대자동차주식회사 | A can communication recovery system using termination register |
CN101832152A (en) * | 2010-06-13 | 2010-09-15 | 哈尔滨工业大学 | WSN mine safety monitoring system with recombination function and downhole accident monitoring method |
CN201914192U (en) * | 2010-12-24 | 2011-08-03 | 陈言平 | Controller Area Network (CAN) bus control system of electric vehicle |
CN203135909U (en) * | 2013-03-19 | 2013-08-14 | 西安飞豹科技发展公司 | CAN bus detection system |
CN103281392A (en) * | 2013-06-07 | 2013-09-04 | 潍柴动力股份有限公司 | Method, device and system for monitoring |
-
2013
- 2013-10-10 CN CN201310470088.9A patent/CN103487276B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR100756745B1 (en) * | 2006-09-28 | 2007-09-07 | 현대자동차주식회사 | A can communication recovery system using termination register |
CN101832152A (en) * | 2010-06-13 | 2010-09-15 | 哈尔滨工业大学 | WSN mine safety monitoring system with recombination function and downhole accident monitoring method |
CN201914192U (en) * | 2010-12-24 | 2011-08-03 | 陈言平 | Controller Area Network (CAN) bus control system of electric vehicle |
CN203135909U (en) * | 2013-03-19 | 2013-08-14 | 西安飞豹科技发展公司 | CAN bus detection system |
CN103281392A (en) * | 2013-06-07 | 2013-09-04 | 潍柴动力股份有限公司 | Method, device and system for monitoring |
Non-Patent Citations (2)
Title |
---|
袁海斌: "信息传输综合实验中的现场总线实验建设", 《实验室研究与探索》 * |
陈华光: "基于CAN总线通信的煤矿分布式监控***", 《矿山机械》 * |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103970125A (en) * | 2014-05-06 | 2014-08-06 | 北京宇航***工程研究所 | Method for monitoring state of inertial measurement unit device in launch vehicle control system |
CN105158002A (en) * | 2015-08-28 | 2015-12-16 | 华南理工大学 | Circulating water heat exchanger fault diagnosis method based on vibration signal |
CN105158002B (en) * | 2015-08-28 | 2017-09-12 | 华南理工大学 | A kind of method for diagnosing faults of the Heat Exchanger in Circulating Water System based on vibration signal |
CN105897485B (en) * | 2016-06-06 | 2019-04-19 | 北京航天发射技术研究所 | A kind of safe analogy method and system of CAN bus based process |
CN105897485A (en) * | 2016-06-06 | 2016-08-24 | 北京航天发射技术研究所 | Safe flow simulation method and system based on CAN (Controller Area Network) bus |
CN106081166A (en) * | 2016-06-27 | 2016-11-09 | 北京航天发射技术研究所 | The Hot Spare control method of a kind of high-power driving device and control system |
CN105933170A (en) * | 2016-07-07 | 2016-09-07 | 北京华电天仁电力控制技术有限公司 | Profibus data acquisition system |
CN105933170B (en) * | 2016-07-07 | 2019-06-11 | 北京华电天仁电力控制技术有限公司 | A kind of the Realization of Data Acquisition System based on Profibus |
CN106598020A (en) * | 2016-11-02 | 2017-04-26 | 中国人民解放军***72465部队 | BIT and case fusion based equipment fault diagnosis method and system |
CN106444532A (en) * | 2016-11-16 | 2017-02-22 | 北京航天发射技术研究所 | A software and hardware autonomously controllable launching vehicle control system configuration |
CN108809783A (en) * | 2017-04-27 | 2018-11-13 | 通用汽车环球科技运作有限责任公司 | Method and system for diagnosing controller Local Area Network |
CN108809783B (en) * | 2017-04-27 | 2021-03-16 | 通用汽车环球科技运作有限责任公司 | Method and system for diagnosing controller area network |
CN109634786A (en) * | 2018-11-27 | 2019-04-16 | 佛山科学技术学院 | A kind of big data processing method and processing device for intelligence manufacture |
Also Published As
Publication number | Publication date |
---|---|
CN103487276B (en) | 2015-12-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103487276A (en) | State monitoring and fault diagnosis universal platform based on CAN bus | |
CN108869264B (en) | Pump station unit fault diagnosis early warning system | |
CN103927335B (en) | Vehicle diagnostics visual modeling management system and method | |
CN105511448A (en) | Integrated vehicle diagnostic instrument and diagnostic method thereof | |
CN106444553B (en) | Scattered acquisition driving system based on two-by-two-out-of-two architecture | |
CN109491341A (en) | Monitoring and data analysis system for oil field operation equipment | |
CN202886949U (en) | Large-scale temporary punching type supersonic velocity wind tunnel digitalized networked safety monitoring system | |
CN103971500A (en) | Data compression transmission method of remote equipment fault information acquisition system | |
CN106249727A (en) | A kind of management system of lithium battery pole slice assembly line | |
CN109387376A (en) | The diagnostic method of vehicle trouble, the diagnostic device of vehicle trouble and server | |
CN203733234U (en) | State detection and acousto-optic alarm device of indicator lights | |
CN104122877A (en) | Remote monitoring system and remote monitoring method for boilers | |
JPH0514975A (en) | Centralized monitor system | |
CN103001802B (en) | Ether port failure self-repairing method and system | |
CN108361020A (en) | Underground drill rig diagnosis protective device and method based on virtual instrument | |
CN204631168U (en) | A kind of industrial current transformer remote diagnosis and maintenance system | |
CN105278482A (en) | Monitoring alarm and control system for ship cabin | |
CN105490856A (en) | Electric power system equipment state information integration and display system | |
CN103427483B (en) | Networking backup auto-activating device and information processing thereof and method of testing | |
CN204258834U (en) | Locomotive network system for managing | |
CN106776193A (en) | The Virtual test equipment and method of testing of apparatus for monitoring power supply slave failure | |
CN203406678U (en) | Networked automatic throw-in equipment of emergency power supply | |
CN202383496U (en) | Remote monitoring system for automotive fuel cell engine | |
CN207251674U (en) | Full redundancy balancing the load production process data acquisition system | |
CN106970607B (en) | Testing method and system for converter control system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant |