CN112559488A - Escalator full life cycle data management method and system based on data center station - Google Patents
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Abstract
The invention discloses a method and a system for managing escalator full life cycle data based on a data center platform, which are implemented by acquiring parameter data in the escalator full life cycle process; screening and classifying the uploaded parameter data; according to the screening and classifying results, the screened data is examined, cleaned, converted and verified and then stored; generating an application demand instruction by using human-computer interaction, calling associated data according to the application demand instruction, and establishing a corresponding mathematical model for calculation processing; and receiving the analysis result, and formulating a corresponding investment budget strategy, a design scheme strategy, an emergency plan strategy and a maintenance plan strategy according to the analysis result, so that the information processing efficiency can be effectively improved, the full life cycle information barrier-free communication of the escalator is realized, and the possibility of various problems caused by unsmooth communication is reduced.
Description
Technical Field
The invention belongs to the technical field of escalator monitoring, and particularly relates to a full-life-cycle data management method and system of an escalator based on a data center platform.
Background
The escalator is used for transporting passengers upwards or downwards between different floor heights of a building, and is widely used in places with concentrated pedestrian flow, such as railway stations, subway stations, bus stations, shopping malls, airports and the like. The escalator has the characteristics of long running time, large load, frequent overload running in a peak period and the like, so that various faults are difficult to avoid. The rail transit passenger lifting equipment has the characteristics of multiple types, easiness in expansion, difficulty in prevention and control and the like.
The whole life cycle comprises the whole process of design, construction, operation and maintenance, the design stage generally adopts the guidance of design standard specifications and the experience accumulation of designers on specific engineering characteristics to carry out engineering design, the mode depends on artificial design experience, the feasibility, the safety and the reliability of a design scheme are ensured, and the artificial error, the error and the miss-collision are easy to occur.
Data exchange of the existing escalator in the whole life cycle process is in a point-to-point mode, once a link is communicated and has errors, deviation of a final result can be caused, when the escalator starts to run, the monitoring data volume is huge, the existing front-background mode is low in processing efficiency, and the requirements of real-time monitoring, quick response and resource sharing cannot be met.
Disclosure of Invention
Aiming at least one defect or improvement requirement in the prior art, the invention provides a data center platform-based escalator full-life cycle data management method and system, which can effectively improve the information processing efficiency, realize the barrier-free information communication of the escalator full-life cycle and reduce the possibility of various problems caused by unsmooth communication.
To achieve the above object, according to one aspect of the present invention, there is provided a full life cycle data management method for an escalator based on a data center, the method comprising the steps of:
acquiring parameter data in the whole life cycle process of the escalator;
screening and classifying the uploaded parameter data; according to the screening and classifying results, the screened data is examined, cleaned, converted and verified and then stored; generating an application demand instruction by using human-computer interaction, calling associated data according to the application demand instruction, and establishing a corresponding mathematical model for calculation processing;
and receiving the analysis result, and formulating a corresponding investment budget strategy, a design scheme strategy, an emergency plan strategy and a maintenance plan strategy according to the analysis result.
As a further refinement of the invention, the types of parameter data include one or more of design parameters, manufacturing parameters, inspection parameters, monitoring parameters, and capital parameters.
In order to achieve the above object, according to another aspect of the present invention, there is provided a full life cycle data management system for an escalator based on a middle data station, the system comprising a foreground service module, a middle data processing module and a background application module, wherein,
the foreground service module is used for acquiring parameter data in the whole life cycle process of the escalator;
the data screening submodule is used for screening and classifying the parameter data uploaded by the foreground business module; the data integration submodule is used for examining, cleaning, converting and verifying the screened data according to the screening and classifying result and then storing the screened data; the data analysis submodule is used for calling the associated data according to the application demand instruction sent by the background application module, establishing a corresponding mathematical model for calculation processing, and sending a final result to the background application module;
the background application module is used for generating an application demand instruction by utilizing human-computer interaction, sending the application demand instruction to the data analysis submodule, receiving an analysis result of the data analysis submodule, and formulating a corresponding investment budget strategy, a design scheme strategy, an emergency plan strategy and a maintenance plan strategy according to the analysis result.
As a further refinement of the invention, the types of parameter data include one or more of design parameters, manufacturing parameters, inspection parameters, monitoring parameters, and capital parameters.
As a further improvement of the present invention, the foreground service module includes one or more of a research and development design terminal, a manufacturing detection terminal, a transportation installation terminal, and an operation maintenance terminal, where the research and development design terminal is used to obtain parameter data in a research and development design process, the manufacturing detection terminal is used to obtain parameter data in a manufacturing detection process, and the operation maintenance terminal is used to obtain parameter data in an operation maintenance process.
As a further improvement of the invention, the data screening process of the data screening submodule comprises the following steps:
and screening and classifying the design parameter data, the manufacturing parameter data, the detection parameter data, the monitoring parameter data, the fund parameter data and the like transmitted by the foreground service, and acquiring the standard of screening and classifying according to the authority category of the data provider.
As a further improvement of the invention, the data processing process of the data integration submodule comprises the following steps:
data examination, namely examining the field type, the maximum value, the minimum value, the average number, the median and the like of each field of the data by utilizing descriptive statistical analysis, and recording the number, the missing value or the null value;
data cleaning, namely cleaning error values, abnormal values, missing values and reassignment of the inspection data, including whether the quantity of the inspection data meets the minimum requirement of analysis, whether the content of field values is consistent with the investigation requirement, and whether the field values are comprehensive;
data conversion, namely performing standard format conversion on the cleaned data, wherein the standard format conversion comprises one or more of non-dimensionalization processing, linear transformation, summary aggregation, moderate generalization, normalization and attribute construction;
and (3) data verification, wherein exploratory analysis is performed by using a simple linear model, a scatter diagram, a histogram and a broken line diagram, and the accuracy of the converted data is verified by using correlation analysis and consistency check.
As a further improvement of the invention, the background application module is also used for presenting the analysis result in a visual effect or realizing information sharing through a network.
As a further improvement of the invention, the middle station data processing module is respectively connected with the foreground service module and the background application module through a 5G network.
As a further improvement of the invention, the central station data processing module comprises an I/O interface, a memory, a central processing unit, a graphic processor and a network card so as to realize data acquisition, integration and analysis.
In general, compared with the prior art, the above technical solution contemplated by the present invention can achieve the following beneficial effects:
according to the escalator full-life-cycle data management method and system based on the data center, the data center is used for screening, integrating and analyzing and processing data, the foreground provides service information from research and development to operation maintenance, and the background makes decisions, performs visual expression and information sharing by calling the processing result of the center, so that the information processing efficiency can be effectively improved, barrier-free communication of escalator full-life-cycle information is realized, and the possibility of various problems caused by unsmooth communication is reduced.
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Fig. 1 is a schematic structural diagram of a full life cycle data management system of an escalator based on a data center platform according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a specific implementation of the escalator full-life cycle data management system according to the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Fig. 1 is a schematic structural diagram of a full life cycle data management system of an escalator based on a data center platform according to an embodiment of the present invention. As shown in fig. 1, the system includes a foreground service module, a middle data processing module and a background application module, wherein the foreground service module is used for acquiring parameter data in the full life cycle process of the escalator, the type of the parameter data includes but is not limited to one or more of design parameters, manufacturing parameters, detection parameters, monitoring parameters and capital parameters, and the parameter data is collected to be used by a subsequent module for judging the full life cycle of the escalator, preferably, the foreground service module includes one or more of a research and development design terminal, a manufacturing detection terminal, a transportation installation terminal and an operation maintenance terminal, wherein the research and development design terminal is used for acquiring the parameter data in the research and development design process, such as current state research, scheme design and budget estimation, and the manufacturing detection terminal is used for acquiring the parameter data in the manufacturing detection process, such as part production, part installation and operation maintenance terminal, The system comprises a complete machine assembly and a delivery test, wherein a transportation installation terminal is used for acquiring parameter data in the transportation installation process, such as finished product transportation, field installation and operation test, an operation maintenance terminal is used for acquiring parameter data in the operation maintenance process, such as operation monitoring, maintenance planning and emergency maintenance, so that corresponding to each link of the full life cycle of the escalator from design to operation and maintenance, workers in each link can input relevant data through man-machine interaction through a foreground service module, and the foreground service module transmits the data to a middle station data processing module for integration and analysis.
The data screening submodule is used for screening and classifying parameter data uploaded by the foreground service module, specifically, the data screening submodule is used for screening and classifying design parameter data, manufacturing parameter data, detection parameter data, monitoring parameter data, fund parameter data and the like transmitted by the foreground service, and the screening and classifying standard can refer to the authority category of a data provider, for example, information uploaded by a designer authority login system is taken as design information, and information uploaded by a manager authority login system is taken as monitoring information.
The data integration submodule is used for carrying out examination, cleaning, conversion and verification on the screened data according to the type of the data and then storing the data so as to be called by the subsequent data analysis submodule; preferably, the data examination process comprises the steps of utilizing descriptive statistical analysis to check the field type, the maximum value, the minimum value, the average number, the median and the like of each field of the data, the number of records, missing values or null values and the like; the data cleaning process comprises the steps of cleaning error values, abnormal values, missing values and reassignment of the inspection data, wherein the steps of inspecting whether the quantity of the data meets the minimum requirement of analysis, whether the content of field values is consistent with the investigation requirement, whether the field values are comprehensive and the like are carried out; the data conversion process comprises performing standard format conversion on the cleaned data, wherein the standard format conversion comprises one or more of non-dimensionalization processing, linear transformation, summary aggregation, moderate generalization, normalization and attribute construction; the data verification process comprises the steps of carrying out exploratory analysis by using a simple linear model and graphs such as a scatter diagram, a histogram, a broken line diagram and the like, verifying the accuracy of the converted data by using methods such as correlation analysis, consistency inspection and the like, and ensuring that data with errors and deviations are not brought into data analysis; through a series of data integration of examination, cleaning, conversion and verification of the screened data, wrong and conflicting dirty data are cleaned up, so that interference of invalid data on an analysis process and results is avoided, and subsequent data analysis results are more reasonable and accurate.
And the data analysis submodule is used for calling the associated data according to the application demand instruction sent by the background application module, establishing a corresponding mathematical model for calculation processing, and sending the final result to the background application module. Specifically, for example, when the step operation state of the escalator needs to be analyzed, the data analysis submodule receives a step operation state application demand instruction sent by the background application module, and then obtains the associated monitoring data as a noise signal of the step, and the data type is monitoring information, so that when data is called, the data is firstly positioned to a corresponding interval in a storage space of the data integration submodule, then noise signal data in a certain time period is extracted, and a specific file format may be txt text; and then establishing a Kalman filtering model, inputting the noise data of the section, calculating and outputting a noise time sequence waveform to be analyzed by technicians to determine whether the noise data is abnormal or not, and if the waveform has an obvious periodic peak value, determining that a certain part of the step of the escalator is not smooth.
The background application module is used for generating an application demand instruction by utilizing human-computer interaction, sending the application demand instruction to the data analysis submodule, receiving an analysis result of the data analysis submodule, and formulating a corresponding investment budget strategy, a design scheme strategy, an emergency plan strategy and a maintenance plan strategy according to the analysis result. Preferably, the analysis results are presented in a visual effect or information sharing is achieved through a network. Specifically, taking the analysis of the monitoring data as an example, assuming that a step noise waveform begins to generate an obviously redundant periodic peak value, it can be considered that a fault occurs in the ladder at the moment, and a strategy scheme for shutdown maintenance needs to be formulated; or, for example, analysis of design data, assuming that the design solution will bring increased structural instability through analysis of design parameters and evaluation, a new design solution needs to be made in time.
Fig. 2 is a schematic structural diagram of a specific implementation of the escalator full-life cycle data management system according to the embodiment of the present invention. As shown in fig. 2, preferably, the middle station data processing module is connected to the foreground service module and the background application module through a 5G network, and the information streams are sequentially transmitted from the foreground to the background, and the high bandwidth and the low delay of the 5G technology are used to ensure the high efficiency and undistorted transmission of the large-capacity data, which is very important for the transmission of the operation and maintenance monitoring data of the escalator. As a specific implementation manner, the console data processing module includes hardware devices such as an I/O interface, a memory, a central processing unit, a graphics processing unit, and a network card, so as to achieve data acquisition, integration, and analysis. The background application module comprises a database, a decision-making library, a visual terminal and a sharing network, so that the escalator full life cycle information management system is formed, and information of all links from design production to operation maintenance of the escalator can be stored, expressed and shared. The information transmission process of escalator operation monitoring specifically includes that firstly, an operation maintenance board of a front stage collects monitoring data of escalator operation, and the collected standard can be operation time, such as only collecting data of a working time period, or a monitored object, such as only collecting escalator data at an exit. Secondly, the collected data are transmitted to a middle server for screening, integrating and analyzing, for example, monitored noise signals are screened out according to data types, after the monitored noise signals are stored, the integrity of the monitored noise signals is examined, repeated and damaged data are cleaned, the data format is converted from an original sensor collection format into a uniform format which can be received by an analysis algorithm, and feasibility verification is carried out before analysis. Then, according to the analysis requirement, if the noise signal needs to be analyzed, the corresponding monitoring noise data is called and substituted into a proper analysis model, such as a Fourier function, a wavelet function and the like, and the corresponding result is obtained through settlement and is used for output analysis. And finally, the background system visually displays the analysis result, such as time-frequency and amplitude-frequency images of the output noise signal, for technical personnel to analyze.
A full life cycle data management method of an escalator based on a data center platform comprises the following steps:
acquiring parameter data in the whole life cycle process of the escalator;
screening and classifying the uploaded parameter data; according to the screening and classifying results, the screened data is examined, cleaned, converted and verified and then stored; generating an application demand instruction by using human-computer interaction, calling associated data according to the application demand instruction, and establishing a corresponding mathematical model for calculation processing;
and receiving the analysis result, and formulating a corresponding investment budget strategy, a design scheme strategy, an emergency plan strategy and a maintenance plan strategy according to the analysis result. The implementation principle and technical effect of the method are similar to those of the system, and are not described herein again.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A full life cycle data management method of an escalator based on a data center platform is characterized by comprising the following steps:
acquiring parameter data in the whole life cycle process of the escalator;
screening and classifying the uploaded parameter data; according to the screening and classifying results, the screened data is examined, cleaned, converted and verified and then stored; generating an application demand instruction by using human-computer interaction, calling associated data according to the application demand instruction, and establishing a corresponding mathematical model for calculation processing;
and receiving the analysis result, and formulating a corresponding investment budget strategy, a design scheme strategy, an emergency plan strategy and a maintenance plan strategy according to the analysis result.
2. The escalator full-life-cycle data management method based on a data center station as claimed in claim 1, wherein the types of the parameter data include one or more of design parameters, manufacturing parameters, inspection parameters, monitoring parameters and capital parameters.
3. A full life cycle data management system of an escalator based on a data center station is characterized by comprising a foreground service module, a center station data processing module and a background application module, wherein,
the foreground service module is used for acquiring parameter data in the whole life cycle process of the escalator;
the data processing module of the middle station comprises a data screening submodule, a data integrating submodule and a data analyzing submodule, and the data screening submodule is used for screening and classifying the parameter data uploaded by the foreground service module; the data integration submodule is used for examining, cleaning, converting and verifying the screened data according to the screening and classifying result and then storing the screened data; the data analysis submodule is used for calling the associated data according to the application demand instruction sent by the background application module, establishing a corresponding mathematical model for calculation processing, and sending the final result to the background application module;
the background application module is used for generating an application demand instruction by utilizing human-computer interaction, sending the application demand instruction to the data analysis submodule, receiving an analysis result of the data analysis submodule, and formulating a corresponding investment budget strategy, a design scheme strategy, an emergency plan strategy and a maintenance plan strategy according to the analysis result.
4. A data center station based escalator full life cycle data management system as claimed in claim 3, wherein said parameter data types include one or more of design parameters, manufacturing parameters, inspection parameters, monitoring parameters and capital parameters.
5. The escalator full-life-cycle data management system based on the data center station as claimed in claim 3, wherein the foreground service module includes one or more of a research and development design terminal, a manufacturing detection terminal, a transportation installation terminal and an operation maintenance terminal, the research and development design terminal is used for acquiring parameter data in a research and development design process, the manufacturing detection terminal is used for acquiring parameter data in a manufacturing detection process, and the operation maintenance terminal is used for acquiring parameter data in an operation maintenance process.
6. The escalator full-life-cycle data management system based on a data center station as claimed in claim 3, wherein the data screening process of the data screening submodule comprises:
and screening and classifying the design parameter data, the manufacturing parameter data, the detection parameter data, the monitoring parameter data, the fund parameter data and the like transmitted by the foreground service, and acquiring the standard of screening and classifying according to the authority category of the data provider.
7. The escalator full-life-cycle data management system based on the data center station as claimed in claim 3, wherein the data processing process of the data integration submodule comprises:
data examination, namely examining the field type, the maximum value, the minimum value, the average number, the median and the like of each field of the data by utilizing descriptive statistical analysis, and recording the number, the missing value or the null value;
data cleaning, namely cleaning error values, abnormal values, missing values and reassignment of the inspection data, including whether the quantity of the inspection data meets the minimum requirement of analysis, whether the content of field values is consistent with the investigation requirement, and whether the field values are comprehensive;
data conversion, namely performing standard format conversion on the cleaned data, wherein the standard format conversion comprises one or more of non-dimensionalization processing, linear transformation, summary aggregation, moderate generalization, normalization and attribute construction;
and (3) data verification, wherein exploratory analysis is performed by using a simple linear model, a scatter diagram, a histogram and a broken line diagram, and the accuracy of the converted data is verified by using correlation analysis and consistency check.
8. The escalator full-life-cycle data management system based on the data center station as claimed in claim 3, wherein said background application module is further used for presenting the analysis result with visual effect or realizing information sharing through network.
9. The escalator full-life-cycle data management system based on the middle station data as claimed in claim 3, wherein the middle station data processing module is respectively connected with the foreground service module and the background application module through a 5G network.
10. The escalator full-life-cycle data management system based on the data center station as claimed in claim 3, wherein the center station data processing module comprises an I/O interface, a memory, a central processing unit, a graphics processor and a network card to realize data acquisition, integration and analysis.
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