CN114489351A - Big data information analysis method with high timeliness - Google Patents
Big data information analysis method with high timeliness Download PDFInfo
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- CN114489351A CN114489351A CN202111669996.1A CN202111669996A CN114489351A CN 114489351 A CN114489351 A CN 114489351A CN 202111669996 A CN202111669996 A CN 202111669996A CN 114489351 A CN114489351 A CN 114489351A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
- G06F11/3072—Monitoring arrangements determined by the means or processing involved in reporting the monitored data where the reporting involves data filtering, e.g. pattern matching, time or event triggered, adaptive or policy-based reporting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/02—Input arrangements using manually operated switches, e.g. using keyboards or dials
- G06F3/023—Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
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Abstract
The invention relates to the technical field of data analysis methods, in particular to a big data information analysis method with high timeliness. The inventive data analysis method system comprises: division of personnel responsibilities and stations; overhauling hardware equipment; installing an automatic control system; establishing an analysis target; directionally acquiring big data; carrying out lightweight processing on database data; the correction of analysis result and carry out the enforceable analysis to multiple scheme, be provided with the automatic control system, under the effect of automatic control system, the staff can be long-range controls the control equipment of automatic control system through the synchronous control keyboard, control the keyboard to big data analysis's computer with this, in having avoided big data analysis link, when needing artifical the control, but the emergence of unmanned control condition, big data analysis's promptness has been improved, big data analysis process's overall efficiency has been improved, need not the manual work and watch on hardware equipment.
Description
Technical Field
The invention relates to the technical field of data analysis methods, in particular to a big data information analysis method with high timeliness.
Background
Big data is also called huge data, which means that the related data is huge in scale and cannot be captured, managed, processed and arranged into information for helping enterprise business decision-making to be more active through mainstream software tools, the strategic significance of big data technology is not to master huge data information, but to perform specialized processing on meaningful data and analyze the big data information, which is the core and significance of big data industry, only the big data is analyzed, the desired result and scheme and the like can be obtained from the big data, when the big data is analyzed, manual cooperation is needed for completion, and as people need to have a rest, eat and the like, some steps needing manual operation can be extended, and the timeliness of data analysis is further reduced.
In view of the above, the present invention is particularly proposed.
Disclosure of Invention
In view of the above, the present invention provides a method for analyzing big data information with high timeliness, so as to solve the problems mentioned in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a big data information analysis method with high timeliness comprises the following steps: s1, division and determination of staff responsibilities and stations,
s2, overhauling and debugging hardware equipment;
s3, installing and placing an automatic control system;
s4, establishing an analysis target and determining an analysis plan;
s5, directionally acquiring the big data, directionally extracting the corresponding big data according to the analysis target determined in the S4, and producing a directional database;
s6, carrying out lightweight processing on database data, screening the data in the database, directly filtering and deleting useless data, and classifying the screened useful data;
s7, correcting the analysis result, analyzing the data in S6, automatically producing a plurality of reasonable suggested schemes according to the analysis result after the data are analyzed, marking and scoring various schemes, and modifying the suggestions by workers;
and S8, carrying out implementability analysis on the multiple schemes to obtain an optimal scheme.
Preferably, in S1, when the staff responsibilities and the division and determination of the stations are performed, the staff is equipped with an instant messenger and sets up a post-repair staff to prevent an emergency situation.
Preferably, the automatic control system in S3 includes a control device for automatic keyboard control, a synchronous control keyboard for remote synchronous control of the control device, a network module for network signal transmission, a synchronization unit for synchronous control processing, and a video monitoring module for monitoring.
Preferably, the control device for automatic keyboard control is fixedly arranged above the keyboard of the hardware device, and the control device comprises the pressing pieces for key pressing, wherein the number of the pressing pieces is the same as that of the keyboard.
Preferably, the synchronization unit is divided into a synchronization unit a and a synchronization unit B, the synchronization unit a and the synchronization unit B are both provided with a network transmission module, the synchronization unit a is arranged on the control device, and the synchronization unit B is arranged on the control keyboard.
Preferably, the video monitoring module comprises a high-definition camera for monitoring a keyboard and a display and a loudspeaker for amplifying sound.
The system comprises an acquisition module for data acquisition, a processing module for data, screening, classification and analysis processing and a control module for control.
Preferably, the collection module contains a filtering unit for data preliminary filtering and a compression unit for data compression.
Compared with the prior art, the invention has the beneficial effects that:
the system comprises an automatic control system, under the action of the automatic control system, a worker can remotely control the control equipment of the automatic control system through a synchronous control keyboard so as to control the keyboard of the computer for big data analysis, the situation that no human control is needed when manual control is needed in a big data analysis link is avoided, the timeliness of big data analysis is improved, the overall efficiency of a big data analysis process is improved, and hardware equipment is not needed to be manually attended; in the data acquisition process, the data are directly subjected to preliminary filtering and compression, so that the aim of data light weight is fulfilled, and the time for analyzing the data by hardware equipment is shortened.
Drawings
FIG. 1 is a schematic flow diagram of the process of the present invention;
FIG. 2 is a schematic view of an automatic control system according to the present invention;
FIG. 3 is a schematic view of an analysis system of the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 to 3 show a method for analyzing big data information with high timeliness according to an embodiment of the present invention, where the method for analyzing big data information with high timeliness includes the following steps: s1, division and determination of staff responsibilities and stations,
s2, overhauling and debugging hardware equipment;
s3, installing and placing an automatic control system;
s4, establishing an analysis target and determining an analysis plan;
s5, directionally acquiring the big data, directionally extracting the corresponding big data according to the analysis target determined in the S4, and producing a directional database;
s6, carrying out lightweight processing on database data, screening the data in the database, directly filtering and deleting useless data, and classifying the screened useful data;
s7, correcting the analysis result, analyzing the data in S6, automatically producing a plurality of reasonable suggested schemes according to the analysis result after the data are analyzed, marking and scoring various schemes, and modifying the suggestions by workers;
and S8, carrying out implementability analysis on the multiple schemes to obtain an optimal scheme.
Specifically, in S1, when the staff responsibilities and the division and determination of the stations are performed, the staff is equipped with an instant messenger and sets up a post-repair staff to prevent an emergency situation.
Specifically, the automatic control system in S3 includes a control device for automatic keyboard control, the control device is fixedly disposed above a keyboard of the hardware device, the control device includes pressing members for key pressing, which are the same in number as the number of keys of the keyboard, a synchronous control keyboard for remotely and synchronously controlling the control device, a network module for network signal transmission, a synchronization unit for synchronous control processing, and a video monitoring module for monitoring, and the video monitoring module includes a high-definition camera for monitoring the keyboard and the display, and a speaker for amplifying sound.
Specifically, the synchronization unit is divided into a synchronization unit a and a synchronization unit B, the synchronization unit a and the synchronization unit B are both provided with a network transmission module, the synchronization unit a is arranged on the control device, and the synchronization unit B is arranged on the control keyboard.
The analysis system comprises an acquisition module for data acquisition, a processing module for data, screening, classifying and analyzing, and a control module for control, wherein the acquisition module contains a filtering unit for data primary filtering and a compression unit for data compression.
The working post and content of each worker are divided and determined, each worker is ensured to take his own job, the control device is fixedly arranged above a keyboard of the hardware device, after an analyzed target is determined, data related to the target are selectively extracted from big data, the data form a specific database, during data acquisition, a filtering unit for primarily filtering the data in an acquisition module for data acquisition and a compression unit for data compression filter and compress the data, then a processing module filters the data again, useless data are directly filtered and deleted, screened useful data are classified, and during the data analysis, if the workers are not in front of the hardware device but need to consider to control the keyboard of the hardware device, the workers can remotely operate the keyboard of the hardware device by operating the synchronous control keyboard at the moment, under the action of the automatic control system, a worker can remotely control the control equipment of the automatic control system through the synchronous control keyboard so as to control the keyboard of the computer for analyzing the big data, the situation that no human control exists when manual control is needed in the big data analysis link is avoided, the timeliness of big data analysis is improved, the overall efficiency of the big data analysis process is improved, and the hardware equipment is not required to be manually attended; in the data acquisition process, data are directly subjected to preliminary filtering and compression, so that the aim of data lightweight is fulfilled, the time for analyzing data by hardware equipment is shortened, various schemes for rationalizing suggestions are automatically produced according to the analysis result after data analysis, various schemes are marked and scored, a worker modifies the suggestions, and finally the various schemes are subjected to implementability analysis to obtain the optimal scheme.
In the description of the present invention, it is to be understood that the terms "center", "middle", "eccentric", "longitudinal", "lateral", "length", "width", "thickness", "height", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", and the like, indicate the orientation or positional relationship indicated based on the orientation or positional relationship shown in the drawings, and are only for convenience of describing and simplifying the description, but do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the invention.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (8)
1. A big data information analysis method with high timeliness is characterized in that: the analysis method comprises the following steps: s1, division and determination of staff responsibilities and stations,
s2, overhauling and debugging hardware equipment;
s3, installing and placing an automatic control system;
s4, establishing an analysis target and determining an analysis plan;
s5, directionally acquiring the big data, directionally extracting the corresponding big data according to the analysis target determined in the S4, and producing a directional database;
s6, carrying out lightweight processing on database data, screening the data in the database, directly filtering and deleting useless data, and classifying the screened useful data;
s7, correcting the analysis result, analyzing the data in S6, automatically producing a plurality of reasonable suggested schemes according to the analysis result after the data are analyzed, marking and scoring various schemes, and modifying the suggestions by workers;
and S8, carrying out implementability analysis on the multiple schemes to obtain an optimal scheme.
2. The big data information analysis method with high timeliness as claimed in claim 1, wherein: in S1, when the staff responsibilities and the post are divided and determined, the staff is equipped with an instant messenger and sets up a post-repair staff to prevent an emergency situation.
3. The big data information analysis method with high timeliness as claimed in claim 1, wherein: the automatic control system in S3 includes a control device for automatic keyboard control, a synchronous control keyboard for remote synchronous control of the control device, a network module for network signal transmission, a synchronization unit for synchronous control processing, and a video monitoring module for monitoring.
4. The big data information analysis method with high timeliness as claimed in claim 3, wherein: the control device for automatic keyboard control is fixedly arranged above the keyboard of the hardware device, and the control device comprises pressing pieces for pressing the key positions, wherein the number of the pressing pieces is the same as that of the keyboard.
5. The big data information analysis method with high timeliness as claimed in claim 3, wherein: the synchronous unit is divided into a synchronous unit A and a synchronous unit B, network transmission modules are arranged on the synchronous unit A and the synchronous unit B, the synchronous unit A is arranged on the control equipment, and the synchronous unit B is arranged on the control keyboard.
6. The big data information analysis method with high timeliness as claimed in claim 3, wherein: the video monitoring module comprises a high-definition camera for monitoring a keyboard and a display and a loudspeaker for amplifying sound.
7. An analysis system for a big data information analysis method with high timeliness as claimed in any one of claims 1-5, characterized in that: the system comprises an acquisition module for acquiring data, a processing module for data, screening, classifying and analyzing and processing and a control module for controlling.
8. The big data information analysis method with high timeliness as claimed in claim 1, wherein: the acquisition module is internally provided with a filtering unit for data preliminary filtering and a compression unit for data compression.
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| CN202111669996.1A CN114489351A (en) | 2021-12-31 | 2021-12-31 | Big data information analysis method with high timeliness |
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| CN111754125A (en) * | 2020-06-29 | 2020-10-09 | 西南交通大学 | Discrete workshop production plan evaluation method based on combined weighting |
| CN112148671A (en) * | 2020-08-21 | 2020-12-29 | 格创东智(天津)科技有限公司 | Data management system for Robot |
| CN113554296A (en) * | 2021-07-16 | 2021-10-26 | 国网江苏省电力有限公司经济技术研究院 | Multi-index evaluation method for planning of park comprehensive energy system |
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2021
- 2021-12-31 CN CN202111669996.1A patent/CN114489351A/en active Pending
Patent Citations (7)
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| CN104318317A (en) * | 2014-10-09 | 2015-01-28 | 华南理工大学 | Black-start scheme optimization method based on distributive integrated energy supply system |
| CN106446181A (en) * | 2016-09-28 | 2017-02-22 | 上海异工同智信息科技有限公司 | Big data processing and remote monitoring system |
| CN107193266A (en) * | 2017-07-11 | 2017-09-22 | 王焱华 | A kind of platform monitoring system of big data |
| CN109212520A (en) * | 2018-09-29 | 2019-01-15 | 河北德冠隆电子科技有限公司 | The road conditions perception accident detection alarm system and method for comprehensive detection radar |
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