CN105574078A - Data analysis system and method for excavator - Google Patents
Data analysis system and method for excavator Download PDFInfo
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Abstract
The invention relates to the field of data analysis, in particular to a data analysis system and method for an excavator. The data analysis system for the excavator comprises a field module, a cloud service module and an application module, wherein the field module is used for collecting working data of the excavator and uploading the working data after integrating; the cloud service module is connected with the field module and is used for receiving uploaded working data, storing and processing the working data and transmitting the processed working data; and the application module is connected with the cloud service module and is used for receiving the processed working data and analyzing the working data to obtain an analysis result. The data analysis method for the excavator comprises the following steps: collecting the working data of the excavator and uploading the working data after integrating; receiving the uploaded working data, storing and processing the working data and transmitting the processed working data; receiving the processed working data and analyzing the working data to obtain the analysis result.
Description
Technical field
The present invention relates to data analysis field, particularly relate to a kind of data analysis system and method for excavator.
Background technology
Hydraulic excavator, as a kind of efficient, economic restoration in earth-rock construction machinery, all plays a part very important in various engineering construction field.The performance improvement method of existing excavator is the test data experimentally in model machine field, and analyze for certain several emphasis gear, find the space that can promote, adjustment controling parameters makes engine, hydraulic system and equipment reach optimized coupling.This method sample size is few, operating mode is single, the various complex working conditions faced when excavator works cannot be met in the wild, often occur that gear that emphasis is debugged is not that the gear that uses of user habit and different regions use the problems such as same model efficiency of excavator oil consumption difference is very large.
Summary of the invention
The limitation such as few for existing analytical approach sample size, operating mode is single, the invention provides a kind of data analysis system and method for excavator, on the operational data analysis of excavator by the impact of region, operating mode and operating habit, gives full play to its performance.
The present invention adopts following technical scheme:
A data analysis system for excavator, described data analysis system comprises:
Field module, gathers the operational data of described excavator, uploads after described operational data being integrated;
Cloud service module, is connected with described field module, receives the described operational data uploaded, stores and process described operational data, the described operational data of transmission processing;
Application module, with described cloud service model calling, receives the described operational data of process, and analyzes this operational data, obtain analysis result.
Preferably, in described data analysis system, described field module comprises:
Multiple sensor, is connected with one or more excavator, gathers the operational data of described excavator;
Controller, is connected with sensor described in each by CAN, by the operational data conformity calculation that sensor described in each gathers;
Display, is connected with described controller, the described operational data of display conformity calculation.
Preferably, described display comprises:
GPS module, is connected with described controller, and the described operational data of conformity calculation is uploaded to cloud service module.
Preferably, described cloud service module is based on the BC-HugeTable data warehouse of Hadoop and HBase or the data warehouse based on Spart or the data warehouse based on Oracle.
Preferably, described cloud service module comprises:
Data access module, is connected with described field module, receives and sends the described operational data that described field module uploads;
Memory module, with described data access model calling, receives and stores described operational data;
Data processing module, is connected with described memory module, processes rear transmission to described operational data.
Preferably, described application module comprises:
Performance analysis unit, with described cloud service model calling, the serviceability of described operational data to described excavator according to process is analyzed, and obtains results of performance analysis;
Market analysis unit, with described cloud service model calling, the marketing strategy of described operational data to described excavator according to process is analyzed, and obtains market analysis result;
Health analysis unit, with described cloud service model calling, the work health situation of described operational data to described excavator according to process is analyzed, and obtains health analysis result.
A data analysing method for excavator, described data analysing method comprises:
Gather the operational data of described excavator, upload after described operational data is integrated;
Receive the described operational data uploaded, store and process described operational data, the described operational data of transmission processing;
Receive the described operational data of process, and analyze this operational data, obtain analysis result.
Preferably, in described data analysing method:
Multiple sensor gathers the operational data of described excavator;
The operational data conformity calculation that sensor described in each gathers by controller;
The described operational data of display display conformity calculation.
Preferably, in described data analysing method:
The described operational data of conformity calculation is uploaded to cloud service module by GPS module.
Preferably, in described data analysing method:
Data access module receives and sends the described operational data that described field module uploads;
Memory module receives and stores described operational data;
Data processing module processes rear transmission to described operational data.
The invention has the beneficial effects as follows:
Large data platform combines with the analysis of algorithm with excavator indices by the present invention, solve the low sample size of classic method and the problem of single operating mode, calculated by the operation information of Real-Time Monitoring and the excavation of the large data of platform, allow user's request can directly towards research staff, for research staff provides design considerations, the coupling making excavator by the impact of region, operating mode and operating habit, does not give full play to its performance.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of excavator data analysis process of the present invention.
Embodiment
It should be noted that, when not conflicting, following technical proposals, can combine between technical characteristic mutually.
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is further described:
Embodiment one
Present embodiments provide a kind of large data analysing method of excavator, traditional Design method of construction machine and Internet technology can merge by the method, by large quantity sensor harvester device operational factor, cloud platform carries out data mining analysis, for R & D design personnel provide Data support simultaneously for terminal user provides more value-added services, promote Consumer's Experience.
The method of the present embodiment is primarily of field module, cloud service module and this three large module of application module realize, as shown in Figure 1, field module gathers the operational data of excavator, upload after operational data is integrated, field module adopts CAN control technology, remote control technology, wireless communication technologys etc. realize each parameter (temperature of engineering machinery, speed, flow, pressure etc.) acquisition and processing, cloud service module receives the operational data uploaded, store and data of dealing with the work, the operational data of transmission processing, cloud service module adopts large data Computer Aided Design, realize the transmission that work on the spot status data and terminal applies center (application module) control operational data, terminal applies module receives the operational data of process, and analyze this operational data, obtain analysis result, it is by the understanding to excavator, the result of calculation of the large data of cloud service module is carried out classification be read as main engine plants research and development, market and after sale personnel provide support, realize design more accurately, sell and safeguard.
The application of the present embodiment can be 60,000 desk calendar history excavators and annual newly-increased nearly 10,000 excavators.Such as, at the scene in module, nearly 20 sensors are all installed before every platform excavator dispatches from the factory, controller is by CAN pick-up transducers data and carry out conformity calculation, be merged into 64 uploading datas, real time record more than 100 operation informations, uploading data is passed to display screen by CAN by controller, display screen by built-in GPS module by data upload to Surveillance center.
Further, cloud service module builds the large data processing platform (DPP) meeting engineering machinery demand, realize the quick access of data with shared, conventional I T framework is made the transition to large data IT architecture, build and inquire about slow problem based on the large data warehouse of the BC-HugeTable of Hadoop and HBase to solve original system, dispose the realization of BC-PDM data-mining module to the fast processing of mass data and excavation, for application layer provides Data support.
Further, the present embodiment large Data Analysis common positions, life cycle is changed to design provides foundation; Type service data in large Data Analysis region, operates operator, maintains, the prompting such as maintenance.
Further, application module, the control of excavator is combined with informationization comprehensively, by the result of calculation of cloud service module, the property indices of analysis mining machine, by research and development, market and maintenance demand data carried out classify and go deep into understanding, finally the analysis result of operational data being supplied to main engine plants.
Further, the cloud service module of the present embodiment is the data warehouse based on Spart or the data warehouse based on Oracle.
Embodiment two
Present embodiments provide a kind of data analysis system of excavator, this data analysis system comprises:
Field module, gathers the operational data of excavator, and upload after operational data being integrated, this module belongs to the fore-end of system;
Cloud service module, is connected with field module, receives the operational data uploaded, stores and data of dealing with the work, the operational data of transmission processing;
Application module, with cloud service model calling, receives the operational data of process, and analyzes this operational data, obtain analysis result.
In the present invention's preferred embodiment, in this data analysis system, field module comprises:
Multiple sensor, is connected with one or more excavator, gathers the operational data of excavator;
Controller, is connected with each sensor by CAN, the operational data conformity calculation gathered by each sensor;
Display, is connected with controller, the operational data of display conformity calculation.
In the present invention's preferred embodiment, display comprises:
GPS module, is connected with controller, and the operational data of conformity calculation is uploaded to cloud service module.
In the present invention's preferred embodiment, cloud service module is based on the BC-HugeTable data warehouse of Hadoop and HBase or the data warehouse based on Spart or the data warehouse based on Oracle.
In the present invention's preferred embodiment, cloud service module comprises:
Data access module, is connected with field module, receives and sends the operational data that field module uploads;
Memory module, with data access model calling, receives and stores operational data;
Data processing module, is connected with memory module, processes rear transmission to operational data.
In the present invention's preferred embodiment, application module application layer carries out large data analysis from performance evaluation, market analysis and health and fitness information three aspects to excavator, and application module comprises:
Further, performance analysis unit, with cloud service model calling, the serviceability of operational data to excavator according to process is analyzed, and obtains results of performance analysis.Performance analysis unit is mainly towards research staff.By the load uploaded in real time, temperature, highly, the information such as time, understand the performance of machine machine Life cycle under different geographical environment, different service condition of design, understand the use habit of user, for the exploitation (such as: this region emphasis regulates which pattern, gear) of new architecture, provide design considerations.
Further, market analysis unit, with cloud service model calling, the marketing strategy of operational data to excavator according to process is analyzed, and obtains market analysis result.The main marketing orientation personnel of market analysis unit.By aspects such as machine quantity, earth volume, oil consumption, understand main frame and component market situation and provide reference for next step marketing strategy.
Further, health analysis unit, with cloud service model calling, the work health situation of operational data to excavator according to process is analyzed, and obtains health analysis result.The main service-oriented personnel of health and fitness information unit.By inquiry maintenance and failure condition, the state residing for understanding equipment promptly and accurately, realizes the accurate service to client, to save time and cost.According to the running status of machine, and with the Data Comparison of same operating mode same type machine, provide operation indicating to operator, how dryly make operator can understand working of oneself, how more reasonably can use machine etc.
To sum up, large data platform combines with the analysis of algorithm with excavator indices by the present invention, solve the low sample size of classic method and the problem of single operating mode, calculated by the operation information of Real-Time Monitoring and the excavation of the large data of platform, allow user's request can directly towards research staff, for research staff provides design considerations, the coupling making excavator by the impact of region, operating mode and operating habit, does not give full play to its performance.
By illustrating and accompanying drawing, giving the exemplary embodiments of the ad hoc structure of embodiment, based on the present invention's spirit, also can do other conversion.Although foregoing invention proposes existing preferred embodiment, but these contents are not as limitation.
For a person skilled in the art, after reading above-mentioned explanation, various changes and modifications undoubtedly will be apparent.Therefore, appending claims should regard the whole change and correction of containing true intention of the present invention and scope as.In Claims scope, the scope of any and all equivalences and content, all should think and still belong to the intent and scope of the invention.
Claims (10)
1. a data analysis system for excavator, is characterized in that, described data analysis system comprises:
Field module, gathers the operational data of described excavator, uploads after described operational data being integrated;
Cloud service module, is connected with described field module, receives the described operational data uploaded, stores and process described operational data, the described operational data of transmission processing;
Application module, with described cloud service model calling, receives the described operational data of process, and analyzes this operational data, obtain analysis result.
2. the data analysis system of excavator according to claim 1, is characterized in that, in described data analysis system, described field module comprises:
Multiple sensor, is connected with one or more excavator, gathers the operational data of described excavator;
Controller, is connected with sensor described in each by CAN, by the operational data conformity calculation that sensor described in each gathers;
Display, is connected with described controller, the described operational data of display conformity calculation.
3. the data analysis system of excavator according to claim 2, is characterized in that, described display comprises:
GPS module, is connected with described controller, and the described operational data of conformity calculation is uploaded to cloud service module.
4. the data analysis system of excavator according to claim 1, is characterized in that, described cloud service module is based on the BC-HugeTable data warehouse of Hadoop and HBase or the data warehouse based on Spart or the data warehouse based on Oracle.
5. the data analysis system of excavator according to claim 1, is characterized in that, described cloud service module comprises:
Data access module, is connected with described field module, receives and sends the described operational data that described field module uploads;
Memory module, with described data access model calling, receives and stores described operational data;
Data processing module, is connected with described memory module, processes rear transmission to described operational data.
6. the data analysis system of excavator according to claim 1, is characterized in that, described application module comprises:
Performance analysis unit, with described cloud service model calling, the serviceability of described operational data to described excavator according to process is analyzed, and obtains results of performance analysis;
Market analysis unit, with described cloud service model calling, the marketing strategy of described operational data to described excavator according to process is analyzed, and obtains market analysis result;
Health analysis unit, with described cloud service model calling, the work health situation of described operational data to described excavator according to process is analyzed, and obtains health analysis result.
7. a data analysing method for excavator, is characterized in that, described data analysing method comprises:
Gather the operational data of described excavator, upload after described operational data is integrated;
Receive the described operational data uploaded, store and process described operational data, the described operational data of transmission processing;
Receive the described operational data of process, and analyze this operational data, obtain analysis result.
8. the data analysing method of excavator according to claim 7, is characterized in that, in described data analysing method:
Multiple sensor gathers the operational data of described excavator;
The operational data conformity calculation that sensor described in each gathers by controller;
The described operational data of display display conformity calculation.
9. the data analysing method of excavator according to claim 8, is characterized in that, in described data analysing method:
The described operational data of conformity calculation is uploaded to cloud service module by GPS module.
10. the data analysing method of excavator according to claim 7, is characterized in that, in described data analysing method:
Data access module receives and sends the described operational data that described field module uploads;
Memory module receives and stores described operational data;
Data processing module processes rear transmission to described operational data.
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| CN114674586A (en) * | 2022-04-08 | 2022-06-28 | 雷沃工程机械集团有限公司 | A method and device for testing the slewing performance of a hydraulic excavator |
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| CN111678708A (en) * | 2020-06-12 | 2020-09-18 | 石家庄开发区天远科技有限公司 | Vibration analysis system for predicting and identifying mechanical fault |
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Application publication date: 20160511 |