CN111611204A - Distributed task progress data acquisition and analysis method - Google Patents
Distributed task progress data acquisition and analysis method Download PDFInfo
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- CN111611204A CN111611204A CN202010362838.0A CN202010362838A CN111611204A CN 111611204 A CN111611204 A CN 111611204A CN 202010362838 A CN202010362838 A CN 202010362838A CN 111611204 A CN111611204 A CN 111611204A
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- 238000004458 analytical method Methods 0.000 title claims abstract description 30
- 238000007405 data analysis Methods 0.000 claims abstract description 15
- 238000000034 method Methods 0.000 claims abstract description 12
- 238000013079 data visualisation Methods 0.000 claims abstract description 11
- 238000013479 data entry Methods 0.000 claims abstract description 3
- 238000012937 correction Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000013506 data mapping Methods 0.000 claims description 3
- 238000011835 investigation Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/186—Templates
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/11—File system administration, e.g. details of archiving or snapshots
- G06F16/113—Details of archiving
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/34—Browsing; Visualisation therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/103—Formatting, i.e. changing of presentation of documents
- G06F40/117—Tagging; Marking up; Designating a block; Setting of attributes
Abstract
The invention discloses a distributed task progress data acquisition and analysis method, which comprises an input device, a filing analysis device and a data visualization device; the method comprises the following steps: step S1: recording task progress data by a data entry person by using entry equipment; step S2: after the data recording personnel confirm the data recording, the data recording personnel use the data sending function of the recording equipment to transmit all or part of the recorded data to the archiving and analyzing equipment; step S3: the archiving analysis equipment automatically classifies and archives the received data types according to the acquired data template, and the archived data can mark the serial number of the recording equipment of the data source of the archived data; step S4: the archive analysis equipment performs data analysis on the acquired data to be analyzed; step S5: and controlling the data visualization device to request data from the archive analysis device, and visualizing and displaying the data. The method effectively improves the efficiency of data acquisition and analysis of a large amount of task progress data in a complex environment.
Description
Technical Field
The invention relates to an information technology, in particular to a distributed task progress data acquisition and analysis method.
Background
In a complex environment (ship deck environment), data acquisition cost of multiple task schedules of different moving objects is high, and identification is difficult. For example, cargo information of a mobile vehicle can be restricted by a complex electromagnetic environment and cannot be wirelessly transmitted, field personnel do not need to give back work progress in real time due to busy working procedures, investment cost is high, difficulty in task progress behavior identification is high through means such as image acquisition, and special situations of strong light and shading cannot be dealt with. And the problem of serious delay of analysis is solved by forming the recorded information into an electronic form by adopting paper form recording, which is easy to cause form writing error and time recording delay.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a distributed task progress data acquisition and analysis method aiming at the defects in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: a distributed task progress data acquisition and analysis method comprises an input device, a file analysis device and a data visualization device;
the input equipment is used for providing a rapid task progress data record for data input personnel through the button array; the button array is set according to the collected data templates, the progress data record of each task corresponds to one collected data template, and the collected data templates mainly comprise the starting/ending time of the task steps, participation subjects, operation objects and operation names;
the archiving and analyzing equipment is used for carrying out undifferentiated storage on the same operation of the same participating subject recorded by different recording equipment distributed in different areas, and realizing data analysis through user error investigation and preference screening;
the method comprises the following specific steps:
the user error correction is to record the same data for multiple times and carry out correction marking, and the determined personnel misoperation data are corrected for error through multiple times of recording, but the error correction data are still recorded so as to keep the real data;
data analysis is completed by data mapping of collected data corresponding to a collected data template in input equipment and an analysis data template calculation formula, wherein the analysis data template mainly comprises main body operation average consumed time, whole flow completion average consumed time and whole day work total;
during data analysis, for the condition that the same task can be recorded for multiple times, definition of combined data can be made in a data analysis template, a main acquisition device is defined, and the device is used as a standard when conflicts exist;
the data visualization equipment is used for requesting data from the archiving and analyzing equipment and visualizing the data;
the method comprises the following steps:
step S1: recording task progress data by a data entry person by using entry equipment;
step S2: after the data recording personnel confirm the data recording, the data recording personnel use the data sending function of the recording equipment to transmit all or part of the recorded data to the archiving and analyzing equipment;
step S3: the archiving analysis equipment automatically classifies and archives the received data types according to the acquired data template, and the archived data can mark the serial number of the recording equipment of the data source of the archived data;
step S4: the archive analysis equipment performs data analysis on the acquired data to be analyzed;
step S5: and controlling the data visualization device to request data from the archive analysis device, and visualizing and displaying the data.
The invention has the following beneficial effects: based on the invention, the problem of data acquisition and analysis of a large amount of task progress data in a complex environment can be effectively solved, and the data acquisition and efficiency in the supervision and personnel training process are effectively multiplied.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a block diagram of an apparatus according to an embodiment of the present invention;
FIG. 2 is a flow diagram of a method of an embodiment of the invention;
FIG. 3 is a table diagram of data records for a collected data template according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a specific interactive implementation of the data template 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 further described in detail with reference to the following 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.
As shown in fig. 1 and fig. 2, a distributed task progress data collection and analysis method includes a plurality of entry devices 101, an archive analysis device 102, and a data visualization device 103. Of the devices, the number of 101 and 103 is not limited and can be added freely. While the number of devices 102 is not limited in number, the increase and decrease needs to be accomplished through system maintenance. 101 and 102 are linked by a communication link. The communication link referred to herein may be a wired link, a wireless link, or a combination thereof. Such as a local area network, the internet, a private network, etc. That is, the actual implementation of the connection described herein is not limited.
The 101 device has installed therein a dedicated program for recording data. The recording program mainly comprises two aspects of rapid data recording and data uploading. The 101 device may in practice be a mobile terminal, a personal computer or the like.
The fast data logging function uses a data logging table built from the collected data templates, as shown in fig. 2.
The collected data template refers to necessary data definition required by the task execution condition needing to be supervised, and mainly comprises the starting/ending time, the participation subject, the operation object, the operation name and the like of the task step.
Each button of the button array may be independently operable, such as by using the input features of a touch screen. If the touch screen is not used, the mouse or the keyboard can be used for operation. I.e. the input medium is not limited by the hardware implementation.
In order to ensure the quickness of the recording process, the data recording button has some basic operation types. For the button to record the time of the task step, when the collector clicks the square, the time is directly obtained through the equipment system and recorded into the cell. If the button continues to be clicked, the time of the last click is used as the final result. In addition, the data recorded by the previous collector clicking the button will also remain in the box. If the acquirer wishes to use the old data, he can also push the button too long and the program will pop up the frame as shown in fig. 4 (a). The old data is selected in the pop-up frame by a pull-down menu or a list of keys. Besides, if the acquirer wants to directly input data, the acquirer can also directly input the data in a pop-up frame by pressing the button for a long time and using a shortcut keyboard or the like, and the data is displayed as final data. For the above operations of selecting old data and directly inputting data, the user can make adjustments according to actual conditions.
Besides the time button for recording the task step, the numerical value number, any text and the self-defined type can be directly recorded according to the actual application condition. Generally, when the data needs to be input, the collector clicks a button corresponding to the target data, and the program pops up a shortcut keyboard customized for the type of data. Here, an example of a numeric keypad is shown in fig. 4(b), where the data can be edited directly by the collector through the numeric keypad on the window, the input data will be presented as text on the top of the window, and the collector can complete the data input by clicking confirmation. If the collector clicks on such a button where data already exists, the existing data will be presented in text at the top of the window and editing may continue on the basis. In addition, an example of one type of selection shortcut keyboard is shown in fig. 4(c), where the acquirer may directly click on a button in the button list to enter text into the button array.
The 102 device has installed therein a dedicated program for data management. The main functions of the management program include receiving and storing data from the logging device, and receiving requests from the data visualization device and returning data. 102 the device may be a server or the like in an actual implementation. Furthermore, the 102 devices are unattended without human supervision, requiring human involvement only at the time of system setup and maintenance.
The archiving and analyzing equipment is used for carrying out undifferentiated storage on the same operation of the same participating subject recorded by different recording equipment distributed in different areas, and realizing data analysis through user error investigation and preference screening;
the method comprises the following specific steps:
the user error correction is to record the same data for multiple times and carry out correction marking, and the determined personnel misoperation data are corrected for error through multiple times of recording, but the error correction data are still recorded so as to keep the real data;
data analysis is completed by data mapping of collected data corresponding to a collected data template in input equipment and an analysis data template calculation formula, wherein the analysis data template mainly comprises main body operation average consumed time, whole flow completion average consumed time and whole day work total;
when data analysis is performed, if there are multiple devices 101, there may be multiple cases where the same task is recorded, and then a definition of how to combine these data is made in the data analysis template, such as defining a main collection device, which is the standard when there is a conflict. The end result described here only affects 103 the data that the device gets from 102. Any data sent from the 101 device is recorded in 102, whether final or not.
103, special programs for data visualization are installed in the device. The program's primary functions include requesting data from the device 102, and visualizing the data. 103 may in a practical implementation be a mobile terminal, a personal computer, etc.
It is assumed here that there is one acquirer, person 1, designated to use device 101; assume that there is one analyst, person 2, designated to use device 103.
As shown in fig. 2, the method implementation described in the present invention can be described as follows.
Step S01: person 1 uses device 101 to record task progress data
Step S02: the person 1 transmits the recorded data in whole, or in part, to the device 102 using a data transmission function on the device 101.
Step S03: device 102 automatically archives the received data classification, and the archived data would mark its data source as 101 devices.
Step S04: person 2 uses device 103 to obtain the data that needs to be analyzed.
Step S05: the person 2 visualizes and presents the acquired data using the device 103.
Furthermore, in practice, there may be multiple persons for person 1, multiple persons for person 2, and even the same person may be both person 1 and person 2. Due to the general nature of the hardware, device 103 and device 101 may also be on the same device entity. That is, the configuration described herein can be adjusted to suit various environments or requirements of people according to actual conditions.
It will be understood that modifications and variations can be made by persons skilled in the art in light of the above teachings and all such modifications and variations are intended to be included within the scope of the invention as defined in the appended claims.
Claims (1)
1. A distributed task progress data acquisition and analysis method is characterized by comprising an input device, an archive analysis device and a data visualization device;
the input equipment is used for providing a rapid task progress data record for data input personnel through the button array; the button array is set according to the collected data templates, the progress data record of each task corresponds to one collected data template, and the collected data templates mainly comprise the starting/ending time of the task steps, participation subjects, operation objects and operation names;
the archiving and analyzing equipment is used for carrying out undifferentiated storage on the same operation of the same participating subject recorded by different recording equipment distributed in different areas, and realizing data analysis through user error investigation and preference screening;
the method comprises the following specific steps:
the user error correction is to record the same data for multiple times and carry out correction marking, and the determined personnel misoperation data are corrected for error through multiple times of recording, but the error correction data are still recorded so as to keep the real data;
data analysis is completed by data mapping of collected data corresponding to a collected data template in input equipment and an analysis data template calculation formula, wherein the analysis data template mainly comprises main body operation average consumed time, whole flow completion average consumed time and whole day work total;
during data analysis, for the condition that the same task can be recorded for multiple times, definition of combined data can be made in a data analysis template, a main acquisition device is defined, and the device is used as a standard when conflicts exist;
the data visualization equipment is used for requesting data from the archiving and analyzing equipment and visualizing the data; the method comprises the following steps:
step S1: recording task progress data by a data entry person by using entry equipment;
step S2: after the data recording personnel confirm the data recording, the data recording personnel use the data sending function of the recording equipment to transmit all or part of the recorded data to the archiving and analyzing equipment;
step S3: the archiving analysis equipment automatically classifies and archives the received data types according to the acquired data template, and the archived data can mark the serial number of the recording equipment of the data source of the archived data;
step S4: the archive analysis equipment performs data analysis on the acquired data to be analyzed;
step S5: and controlling the data visualization device to request data from the archive analysis device, and visualizing and displaying the data.
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