CN114742475A - Big data integrated management system - Google Patents
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Abstract
The invention discloses a big data integrated management system, comprising: the system comprises a monitoring analysis module, an equipment situation module, an equipment management module, a system management module, a personnel management module, a file management module, a fault case library, a report module and a data interface module; the big data comprehensive management system provided by the invention can be used for completing unified management, analysis and query on data during test and evaluation experiments of the power electromechanical equipment and mass monitoring data accumulated after being arranged, improving the data utilization rate, providing support for completing test and evaluation of the running state of the equipment and finally realizing the full life cycle management of the monitoring equipment.
Description
Technical Field
The invention relates to the technical field of data management, in particular to a big data comprehensive management system.
Background
The equipment comprehensive information platform project aims to complete unified management, analysis and query on mass monitoring data accumulated during test evaluation experiments of the power electromechanical equipment of the equipment and after the equipment is arranged, improve the data utilization rate and provide support for completing test evaluation of the running state of the equipment.
In order to ensure the reliability and the availability of equipment, multiple rounds of tests need to be carried out on equipment in research and in service, because participants and test places of the tests are possibly different, the file structures of test records and test files are also different, and the equipment is limited by a network after the sea, so that the safe and effective unified management of the data of the tests and the train of the equipment in research and in service is lacked.
Disclosure of Invention
In order to solve the problems in the prior art, the embodiment of the invention provides a big data comprehensive management system. The technical scheme is as follows:
in one aspect, a big data integrated management system is provided, including: a monitoring and analyzing module;
the monitoring and analyzing module comprises a map analyzing unit, a threshold alarming unit, an alarming inquiring unit, a data comparison and analysis unit, a historical data analyzing unit and a report generating unit;
the map analysis unit is used for performing map analysis on the rotating equipment and the pump equipment based on a fault mechanism and monitoring and analyzing the state of the equipment from different angles through vibration;
the threshold alarm unit is used for carrying out fault alarm through manually inputting threshold setting according to an alarm reference threshold formulated by a unit where the equipment is located or an expert experience reference threshold of a service platform construction unit;
the alarm query unit is used for providing queries of different organizational structure levels for historical alarm reason queries based on alarm equipment; meanwhile, statistics of alarm reasons according to the type and the model of the equipment is supported;
the data comparison unit is used for performing transverse comparison on different devices of the same type;
the historical data analysis unit is used for longitudinally comparing historical data of one measuring point and displaying the historical data by using a trend graph;
and the report generating unit is used for generating a fault diagnosis report, a comprehensive analysis statistical report and an equipment situation.
Further, the device comprises a device situation module; the equipment situation module comprises a GIS map and equipment information general profiles; the device information profile includes a JT three-dimensional map and a device three-dimensional map.
Further, still include: a device management module; the device management module includes: the information billboard unit, the equipment file management unit and the equipment part management;
the equipment billboard unit is used for managing equipment states, measuring point states and historical alarm statistics;
the equipment information management is used for managing basic information, experimental information, fault records, maintenance records, operation records and electronic drawing files;
and managing the parts of the equipment, which is used for managing the upper bearing of the current equipment.
Further, the method also comprises the following steps: a system management module;
the system management module comprises a user management unit, a function authority management unit and an equipment authority management unit;
the user management unit is used for creating, modifying, deleting and inquiring the user;
the function authority management unit is used for setting different function points for each role, and a user under the current role has the authority of the function points;
and the equipment authority management unit is used for carrying out authority setting on equipment in a preset range for a user.
Further, the system also comprises a personnel management module;
the personnel management module comprises a monitoring room personnel management unit and a monitoring group dynamic management unit;
the monitoring room personnel management unit is used for daily work management;
the monitoring group dynamic management unit is used for managing basic information of the monitoring group; the system is used for monitoring training records of the team members, and authorized users have the functions of adding, deleting, modifying and checking historical training records; the recording function is used for rating the ability of the monitoring team, and historical information of the ability rating is inquired.
Further, the system also comprises a file management module;
the file management module comprises a file viewing unit, a file uploading unit, a file downloading unit and a file retrieval unit;
the file viewing unit is used for viewing the file by utilizing an application program of the local computer after the file is automatically downloaded to the local computer;
the file uploading unit is used for uploading files and performing classified management on different files, so that a user can conveniently retrieve the files;
the file downloading unit is used for downloading files by using a downloading tool carried by the browser;
the file retrieval unit is used for retrieving according to the name, the type and the uploading person information of the file;
further, a fault case library is also included;
the fault case base comprises case information, case accessories and case analysis;
the case information unit is used for inputting and inquiring the diagnosis cases of the key units of the whole organization in the past year and the past time;
the case attachment unit is used for uploading/downloading attachments of the case;
the case analysis unit is used for displaying the events marked during monitoring and analysis, associating the events with the files and realizing the association of structured data and unstructured data with each experiment or sea trial; and the monitoring data of the fault time period can be quickly called for detailed analysis.
Further, the system also comprises a report module;
the report module comprises an alarm information statistical unit and a fault type statistical unit;
the alarm information statistic unit is used for counting the alarm information of the equipment under the selected organization structure and displaying the alarm information by using a oscillogram;
and the fault type counting unit is used for counting the fault types of the equipment under the selected organization structure and displaying the fault types by using a oscillogram.
Further, the system also comprises a data interface module;
the data interface module includes: the system comprises a noise monitoring system data interface, an offline data acquisition instrument data interface, an infrared thermometer data interface, an infrared thermal imaging data interface, a lubricating oil data interface and an MATLAB analysis software interface.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
the big data comprehensive management system provided by the invention can be used for completing unified management, analysis and query on data during test and evaluation experiments of the power electromechanical equipment and mass monitoring data accumulated after being arranged, improving the data utilization rate, providing support for completing test and evaluation of the running state of the equipment and finally realizing the full life cycle management of the monitoring equipment.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic block diagram of a big data integrated management system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The invention provides a big data integrated management system, which is shown in figure 1 and comprises the following components: the system comprises a monitoring analysis module, an equipment situation module, an equipment management module, a system management module, a personnel management module, a file management module, a fault case library, a report module and a data interface module;
the monitoring and analyzing module comprises a map analyzing unit, a threshold alarming unit, an alarming inquiring unit, a data comparison and analysis unit, a historical data analyzing unit and a report generating unit; the method comprises the following specific steps:
the monitoring analysis provides professional analysis functions of various equipment types, and algorithms and analysis functions such as trend analysis, waveform analysis (frequency domain + time domain), spectrum analysis and the like are supported; the method comprises the steps of supporting a data marking function, marking typical trend data in a certain time period, and supporting a searching function; and an online diagnosis report generation function is supported.
Professional profiling: the module has the function of analyzing the map of the rotating machinery and the pump equipment based on the failure mechanism, and can monitor and analyze the state of the equipment from different angles through vibration.
Threshold value alarming: the fault alarm can be carried out by manually inputting threshold value setting according to an alarm reference threshold value formulated by a unit where the equipment is located or an expert experience reference threshold value of a service platform construction unit.
And (3) alarm query: the alarm query has the main functions of providing query of different organizational structure levels based on historical alarm reason query of alarm equipment; meanwhile, statistics of alarm reasons according to the type and the model of the equipment is supported.
Comparative analysis of data from different devices: the system provides a lateral contrast function for different devices of the same type.
And (3) historical data analysis: the system provides a function of utilizing historical data of one measuring point to carry out longitudinal comparison and is displayed by a trend chart.
Generating reports
And (3) fault diagnosis reporting: the system supports a one-key fault diagnostic reporting function, and the supported equipment types include rotating machinery, reciprocating compressors and centrifugal pumps.
Comprehensive analysis statistics report: the system supports the function of generating comprehensive analysis statistics reports aiming at the equipment before/after going out of sea, and provides a strategy for the inspection and maintenance of key equipment.
The device posture module includes a device information profile; the device information profile includes a JT three-dimensional map and a device three-dimensional map.
Device information overview:
three-dimensional drawing of the device: the method and the device have the advantages that the device three-dimensional graph provided by the first party can be viewed, different parts of the device can be viewed by dragging the button, and the running data of each part of the device under the current data flow is displayed.
Three-dimensional drawing of the device: the method realizes the checking of the three-dimensional graph of the equipment provided by the first party, realizes the checking of different parts of the equipment by dragging the button, and displays the running data of different measuring points of the checked equipment under the current data stream.
The device management module includes: the information billboard unit, the equipment file management unit and the equipment part management; the method comprises the following specific steps:
basic information: the system provides basic information viewing of the equipment, and the authorized user can maintain the information of the equipment. The basic information of the device includes: equipment name, equipment number, equipment model, technical parameters, equipment type, production date, manufacturer, unit of location and the like.
Experimental information: the system supports manual maintenance of the experimental record of the current equipment, so that the historical experimental condition of the current equipment can be conveniently and visually inquired. The device name, the organization structure of the device, the device number, the experiment result, the experiment starting time/ending time, the experiment unit, the experimenter and the like can be mainly checked.
And (3) recording faults: the system supports manual maintenance of the fault records of the current equipment, so that the historical fault conditions of the current equipment can be conveniently and visually inquired. The name of the equipment, the organization structure of the equipment, the number of the equipment, the fault condition, the starting time/ending time of the fault, the unit of the fault equipment, the handler and the like can be mainly checked.
And (4) maintenance recording: the system supports manual maintenance of the maintenance record of the current equipment, so that the historical maintenance condition of the current equipment can be conveniently and visually inquired. The equipment name, the organization structure of the equipment, the equipment number, the maintenance condition, the maintenance start time/end time, the maintenance unit, the maintenance person and the like can be mainly checked.
And (4) recording operation: the system supports manual maintenance of the running state of the current equipment, so that the historical running condition of the current equipment can be conveniently and visually inquired. The device name, the organization architecture of the device, the device number, the type, the operating time, the accumulated operating time, etc. can be viewed.
Electronic drawing files: the system supports manual uploading/downloading of electronic drawings related to the current equipment, so that technical data related to the current equipment can be conveniently and visually inquired. The supported picture formats are: JPG, PNG.
Equipment parts management (bearings): the system provides management for the upper bearing of the current equipment, and an authorized user can maintain (add, delete, modify and check) the information of the model, the use part, a manufacturer and the like of the bearing.
The system management module comprises a user management unit, a function authority management unit and an equipment authority management unit; the method comprises the following specific steps:
the system supports organization structure and platform personnel role authorization management, user registration management, authority management, menu column configuration and module authorization, and supports functions of providing user login, log exit and the like.
User management: the system supports the functions of creating, modifying, deleting and inquiring of the user. The basic information of the user includes: name, role, mailbox, phone, belonging device, etc.
And (4) managing functional authority: the system supports setting different function points for each role, and users under the current role have the authority of the function points.
And (3) device authority management: the system supports the permission setting of the device in a certain range on the levels of functions, data and the like.
The personnel management module comprises a monitoring room personnel management unit and a monitoring group dynamic management unit; the method comprises the following specific steps:
monitoring team dynamic management
Basic information: the system supports management of basic information of the monitoring group, including increasing, deleting, modifying and checking of information such as names, ages, affiliated departments, positions, daily work records and the like of monitoring group members.
Training records: the system supports the training records of monitoring team members, and the authorized user has the functions of adding, deleting, modifying and checking historical training records.
Human competence: the system supports a recording function for the ability rating of monitoring team personnel, and historical (previous periods) information inquiry of the ability rating.
The file management module comprises a file viewing unit, a file uploading unit, a file downloading unit and a file retrieving unit; the method comprises the following specific steps:
and (3) file viewing: the system supports the function of viewing files by using the application program of the local computer after the files are automatically downloaded to the local computer.
Uploading a file: the system supports a file upload function. And different files are classified and managed, so that the user can conveniently search.
Downloading a file: the system supports the function of downloading files by using a downloading tool carried by a browser.
File retrieval: the system supports retrieval according to information such as file name, type, uploader and the like.
The fault case base comprises case information, case accessories and case analysis; case information: the system supports the function of manually inputting and inquiring the diagnosis cases of the key units in the whole organization in the past year and the past time; specifically, the following are:
case accessories: the system supports an accessory uploading/downloading function of the case;
case analysis: displaying the events marked during monitoring and analysis, and associating the events with files to realize the association of structured data and unstructured data with each experiment or sea trial, so that the data analysis and later-stage utilization are facilitated; and the monitoring data of the fault time period can be quickly called for detailed analysis. The system should be provided with a search engine, keyword search is carried out on the labeled result, the state monitoring analysis interface of the labeled corresponding moment can be switched from the search result, and the labeled state monitoring data can be analyzed.
The report module comprises an alarm information statistical unit and a fault type statistical unit; the method comprises the following specific steps:
alarm information statistics: the system supports the statistical function of alarm information of equipment under the selected organization structure, and is displayed by a oscillogram.
And (3) fault type statistics: the system supports the statistical function of the fault types of the equipment under the selected organization structure and is displayed by a oscillogram.
The data interface module includes: the system comprises a noise monitoring system data interface, an offline data acquisition instrument data interface, an infrared thermometer data interface, an infrared thermal imaging data interface, a lubricating oil data interface and an MATLAB analysis software interface. The method comprises the following specific steps:
noise monitoring system data: after the equipment is landed, the data are transmitted to the equipment comprehensive information platform system through the transfer equipment, the equipment comprehensive information platform system automatically performs data playback, and the original database file is changed into the monitoring data which can be looked up and then is stored and analyzed.
Data of an off-line data acquisition instrument: after the data are collected by the handheld data collection instrument, the data are stored in the off-line data collection instrument, after the equipment is in shore, the original data are transmitted to the equipment comprehensive information platform system through the transfer equipment, and the equipment comprehensive information platform system stores the original data and automatically analyzes the original data into visual data for storage and analysis.
Data of infrared thermometer: the system imports standard data for the data of the infrared thermometer into a template, and a user directly imports the data into the system after completing filling information according to the requirements of the template.
Infrared thermal imaging data: the infrared thermal imaging image is transmitted to the data transfer equipment through a data line and then uploaded to the equipment comprehensive information platform database in an importing mode.
Lubricating oil data: the system imports the standard data into the template, and the user directly imports the standard data into the system after completing the information filling according to the requirements of the template.
MATLAB analysis software: the system provides the function of transmitting the data collected by the offline data collector to MATLAB analysis software through an interface.
In this embodiment, the system supports various mainstream operating systems;
adopting J2EE technical specification and development specification meeting the industry standard, and micro service architecture, SOA application architecture, XML data exchange standard protocol, Web Services and LDAP protocol to meet the related network specification;
the system is simple and practical in operation, the kernel level of the software supports simplified Chinese, such as a Chinese interface, Chinese help and support and the like, the export of platform service data and reports is supported, and the file format is compatible with Word and Excel;
the system platform is required to ensure normal and smooth operation in a state of logging in and using within the user authority range.
Application usage index:
the average time of page access is less than or equal to 3 s; the query time of the data in the single table is less than or equal to 10 s/ten thousand; the storage time of a single service data is less than or equal to 3 s; the storage time of a single alarm datum is less than or equal to 5 s; the single sign-on time is less than or equal to 5 s;
the user interface supports more than 1280X1024 of a normal screen, more than 1440X900 of a wide screen and various typical resolutions, and supports 32-bit true color display;
the percentage is accurate to five digits after a decimal point, the longest length of the digits is 16 digits, the delivery time and the ZB time are accurate to date, and the practical data of other dates can be respectively accurate to the level of year, month, day, time, minute or second according to specific requirements of services;
network communication index
The information node has at least 100 million bandwidth access conditions, and the unit user access node has at least 10 million bandwidth access conditions. The user uses the network to meet the network communication index requirement.
System information processing capability
Concurrent processing: at least concurrent requests of 20 users are processed at the second level, the number of concurrent accesses of the users is greater than 20, and the peak value is greater than 30;
database performance: the number of concurrent connections is more than 100;
storage capacity: the storage capacity has no upper limit and is limited by available storage resources;
characteristics of system use
When interacting with the server, the response time of the server is not more than 7 seconds
The mouse clicking times for processing one service should be less than 5
The platform selects a mainstream relational database Sqlsever2012 or more and an operating system Windows Server2016 or more, and the detection center provides the database and the operating system enterprise large client version;
the platform system adopts an open architecture and a commercial development standard and is designed in a modularized way;
the system supports various chart types, including a vertical chart, a horizontal chart, a cross chart, various chart types such as a bar chart, a broken line chart, a pie chart and the like, wherein the chart analysis interface can be distinguished or marked by adopting different colors, and a plurality of reference curves can be called and edited so as to facilitate correlation or correlation analysis;
the service platform supports system unified authority management; the method has multi-latitude authority control based on functions, users, roles and departments;
various data and various devices (a rotary machine set, a reciprocating machine set and a key machine pump) are centralized on a unified platform, the devices are managed in a unified mode, the data are stored in a unified mode, the interface is unified in style, and the data are displayed in a centralized mode and are analyzed in a personalized mode;
the intelligent storage technology comprises the following steps: intelligently deciding sparse and dense storage, and distinguishing key data and non-key data (such as alarm data and normal data); the intelligent key data is pre-stored in the hot area, so that the processing speed is accelerated. The big data storage speed, the calling efficiency and the big data analysis and calculation speed are important. The platform adopts an advanced distributed file system and a distributed database to realize data storage, and adopts computing cluster and parallel computing technology to realize big data high-performance computation. And establishing an intelligent scheduling strategy model based on key data and non-key data, and determining the sparsity and the storage position of data storage.
The big data comprehensive management system provided by the invention can be used for completing unified management, analysis and query on data during test and evaluation experiments of the power electromechanical equipment and mass monitoring data accumulated after being arranged, improving the data utilization rate, providing support for completing test and evaluation of the running state of the equipment and finally realizing the full life cycle management of the monitoring equipment.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent replacements, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A big data integrated management system is characterized by comprising:
the monitoring and analyzing module comprises a map analyzing unit, a threshold alarming unit, an alarming inquiring unit, a data comparison and analysis unit, a historical data analyzing unit and a report generating unit;
the spectrum analysis unit is used for carrying out spectrum analysis on the rotating equipment and the pump equipment based on a fault mechanism and monitoring the state of the analysis equipment from different angles through vibration;
the threshold alarm unit is used for carrying out fault alarm through manually inputting threshold setting according to an alarm reference threshold formulated by a unit where the equipment is located or an expert experience reference threshold of a service platform construction unit;
the alarm query unit is used for providing queries of different organizational structure levels for historical alarm reason queries based on alarm equipment; meanwhile, statistics of alarm reasons according to the type and the model of the equipment is supported;
the data comparison unit is used for performing transverse comparison on different devices of the same type;
the historical data analysis unit is used for longitudinally comparing historical data of one measuring point and displaying the historical data by using a trend graph;
and the report generating unit is used for generating a fault diagnosis report, a comprehensive analysis statistical report and an equipment situation.
2. The big data integrated management system according to claim 1, further comprising a device situation module; the equipment situation module comprises a GIS map and equipment information general profiles; the device information profile includes a JT three-dimensional map and a device three-dimensional map.
3. The big data integrated management system according to claim 1, further comprising: a device management module; the device management module includes: the information billboard unit, the equipment file management unit and the equipment part management;
the equipment billboard unit is used for managing equipment states, measuring point states and historical alarm statistics;
the equipment information management is used for managing basic information, experimental information, fault records, maintenance records, operation records and electronic drawing files;
and managing the parts of the equipment, which is used for managing the upper bearing of the current equipment.
4. The big data integrated management system according to claim 1, further comprising: a system management module;
the system management module comprises a user management unit, a function authority management unit and an equipment authority management unit;
the user management unit is used for creating, modifying, deleting and inquiring the user;
the function authority management unit is used for setting different function points for each role, and a user under the current role has the authority of the function points;
and the equipment authority management unit is used for carrying out authority setting on equipment in a preset range for a user.
5. The big data integrated management system according to claim 1, further comprising a personnel management module;
the personnel management module comprises a monitoring room personnel management unit and a monitoring group dynamic management unit;
the monitoring room personnel management unit is used for daily work management;
the monitoring group dynamic management unit is used for managing basic information of the monitoring group; the system is used for monitoring training records of the team members, and authorized users have the functions of adding, deleting, modifying and checking historical training records; the recording function is used for rating the ability of the monitoring team, and historical information of the ability rating is inquired.
6. The big data integrated management system according to claim 1, further comprising a file management module;
the file management module comprises a file viewing unit, a file uploading unit, a file downloading unit and a file retrieval unit;
the file viewing unit is used for viewing the file by utilizing an application program of the local computer after the file is automatically downloaded to the local computer;
the file uploading unit is used for uploading files and performing classified management on different files, so that a user can conveniently retrieve the files;
the file downloading unit is used for downloading files by using a downloading tool carried by the browser;
and the file retrieval unit is used for retrieving according to the name, the type and the uploading person information of the file.
7. The big data integrated management system according to claim 1, further comprising a failure case library;
the fault case base comprises case information, case accessories and case analysis;
the case information unit is used for inputting and inquiring the diagnosis cases of the key units of the whole organization in the past year and the past time;
the case attachment unit is used for uploading/downloading attachments of the case;
the case analysis unit is used for displaying the events marked during monitoring and analysis, associating the events with the files and realizing the association of structured data and unstructured data with each experiment or sea trial; and the monitoring data of the fault time period can be quickly called for detailed analysis.
8. The big data integrated management system according to claim 1, further comprising a report module;
the report module comprises an alarm information statistical unit and a fault type statistical unit;
the alarm information statistic unit is used for counting the alarm information of the equipment under the selected organization structure and displaying the alarm information by using a oscillogram;
and the fault type counting unit is used for counting the fault types of the equipment under the selected organization structure and displaying the fault types by using a oscillogram.
9. The big data integrated management system according to claim 1, further comprising a data interface module;
the data interface module includes: the system comprises a noise monitoring system data interface, an offline data acquisition instrument data interface, an infrared thermometer data interface, an infrared thermal imaging data interface, a lubricating oil data interface and an MATLAB analysis software interface.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115796436A (en) * | 2023-02-15 | 2023-03-14 | 无锡芯享信息科技有限公司 | Production test data management system based on big data |
| CN118011890A (en) * | 2024-01-04 | 2024-05-10 | 上海淞湾动力科技有限公司 | Control analysis system based on industrial Internet |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115796436A (en) * | 2023-02-15 | 2023-03-14 | 无锡芯享信息科技有限公司 | Production test data management system based on big data |
| CN118011890A (en) * | 2024-01-04 | 2024-05-10 | 上海淞湾动力科技有限公司 | Control analysis system based on industrial Internet |
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