CN103514294B - data monitoring method and system - Google Patents
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- CN103514294B CN103514294B CN201310470035.7A CN201310470035A CN103514294B CN 103514294 B CN103514294 B CN 103514294B CN 201310470035 A CN201310470035 A CN 201310470035A CN 103514294 B CN103514294 B CN 103514294B
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3466—Performance evaluation by tracing or monitoring
- G06F11/3476—Data logging
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Abstract
The invention discloses a kind of data monitoring method and system.A kind of data monitoring method, including: during data monitoring, receive and parse through data to be monitored, obtain the data monitoring type identification of these data to be monitored, and set up the data monitoring point table of these data to be monitored；According to the data monitoring type identification of these acquired data to be monitored, inquire about the data monitoring type list that these data to be monitored stored are corresponding, to obtain the monitoring attribute information of these data to be monitored；And, according to the monitoring attribute information of these data to be monitored obtained, set up the Monitoring Data table of these data to be monitored.
Description
Technical field
The present invention relates to data monitoring field, specifically, particularly relate to a kind of data monitoring method
And system.
Background technology
Along with the development of online data monitoring technology, data monitoring means are increasing, various differences
The data representation of the data monitoring method of type requires all to differ.Such as, robot measurement data
Monitoring type needs tri-components of X, Y, Z to express data, and is required to calculate its accumulative change simultaneously
Change value and current rate of change；Turbidity data monitoring type the most only needs to express turbidity one
Individual component, and need not calculate accumulative change and current rate of change.
At present, online data monitoring system is usually each data monitoring type and sets up data
Table, and the visual software on upper strata is correspondingly developed for each tables of data.And when online data is supervised
When examining system runs into the unknown data monitoring type newly increased, its usual way is to draft new need
Seek statement on changes, design new database structure, set up new tables of data, and correspondingly develop
Layer visual software.Its process will affect the completion time of project of online data monitoring system.Additionally, with
The data monitoring type compatibility gets more and more, and online data monitoring design within system program is more
Come the most complicated, have impact on program operational efficiency；Further, for individual data monitoring project,
Wherein a lot of data monitoring types are not the most used.
It is only used for strengthening the background to the present invention in information above-mentioned disclosed in described background section
Understanding, therefore it can include not constituting prior art known to persons of ordinary skill in the art
Information.
Summary of the invention
To sum up, it is desirable to provide the method and system of a kind of data monitoring, reach without change
Data structure and upper strata visual software code can realize the mesh of compatible new data monitoring type
's.
Additional aspect and the advantage of the present invention will be set forth in part in the description, and part
Ground will be apparent from from describe, or can the acquistion by the practice of the present invention.
One aspect of the present invention provides a kind of data monitoring method, including step: S1) supervise in data
During survey, receive and parse through data to be monitored, obtain the data monitoring class of these data to be monitored
Type identifies, and sets up the data monitoring point table of these data to be monitored；S2) treat according to acquired this
The data monitoring type identification of Monitoring Data, inquires about the data that these data to be monitored stored are corresponding
Monitoring type list, to obtain the monitoring attribute information of these data to be monitored；And, S3) according to obtaining
The monitoring attribute information of these data to be monitored taken, sets up the Monitoring Data table of these data to be monitored.
In an embodiment, before step S1, further comprise the steps of: S0) input a data monitoring
The monitoring attribute information of type, to set up the data monitoring type list of this data monitoring type.
In another embodiment, this data monitoring type list includes component total number to be observed, respectively treats
The monitoring attribute information of observational components.
In another embodiment, the monitoring attribute information of this component to be observed includes this component to be observed
Title, unit and feature.
In another embodiment, the feature of this component to be observed include whether to need to calculate accumulative difference and
Rate of change.
In another embodiment, this data monitoring point table at least includes the data prison of these data to be monitored
Survey type identification.
In another embodiment, the Monitoring Data table of these data to be monitored includes these data to be monitored
Mark, the data monitoring point table of these data to be monitored, the data monitoring type mark of these data to be monitored
Know, monitor time and value, variable quantity and the rate of change of each component to be observed.
Another aspect of the present invention provides a kind of data monitoring system, including: interface module, receive
One data to be monitored；Parsing module, resolves these data to be monitored exported from this interface module, builds
The data monitoring point table of these data to be monitored vertical, and obtain the data monitoring type of these data to be monitored
Mark, by the monitoring type identification of these data to be monitored, to enquiry module requesting query, this is to be monitored
The monitoring attribute information of data；Enquiry module, these data to be monitored asked according to this parsing module
Monitoring type identification, the data monitoring type list of these data to be monitored that inquiry has stored, output
The monitoring attribute information of these data to be monitored is to this parsing module；And, output module, according to this
The data monitoring point table of these data to be monitored of parsing module output and data monitoring attribute information,
Set up the Monitoring Data table of these data to be monitored.
In an embodiment, further, including: input module, input a data monitoring type
Monitoring attribute information, and be output to this enquiry module；And, this enquiry module, also use
In the attribute information of this data monitoring type receiving the output of this input module, it is somebody's turn to do to set up and to store
The data monitoring type list of data monitoring type.
The data monitoring method provided by the present invention and system, it is only necessary to data to be monitored
Monitoring Data table, it is possible to meet the requirement of multiple data monitoring type so that online data is monitored
System can compatible multiple unknown data monitoring type, thus reach without change data structure and on
Layer visual software code can realize the purpose of compatible new data monitoring type, reduces software
Development cost, shortens the system Construction cycle.
Accompanying drawing explanation
Its example embodiment is described in detail, above and other feature of the present invention by referring to accompanying drawing
And advantage will be apparent from.
The flow chart of the data monitoring method that Fig. 1 provides for one embodiment of the invention.
The flow chart of the data monitoring method that Fig. 2 provides for another embodiment of the present invention.
The data monitoring system that Fig. 3 provides for one embodiment of the invention.
The data monitoring system that Fig. 4 provides for one embodiment of the invention.
Wherein, description of reference numerals is as follows:
1,2 data monitoring systems
11 interface modules
12 parsing modules
13,23 enquiry modules
14 output modules
25 input modules
Detailed description of the invention
It is described more fully with example embodiment referring now to accompanying drawing.But, example embodiment
Can implement in a variety of forms, and be not understood as limited to embodiment set forth herein；On the contrary,
These embodiments are provided so that the present invention will fully and completely, and by the design of example embodiment
Convey to those skilled in the art all sidedly.In the drawings, in order to clearly, exaggerate region and layer
Thickness.The most identical reference represents same or similar structure, thus will omit it
Detailed description.
Described feature, structure or characteristic can be combined in one or more in any suitable manner
In many embodiments.In the following description, it is provided that many details thus be given the present invention
The fully understanding of embodiment.It will be appreciated, however, by one skilled in the art that this can be put into practice
The technical scheme of invention and do not have in described specific detail one or more, or can be used it
Its method, constituent element, material etc..In other cases, be not shown in detail or describe known features,
Material or operation are to avoid fuzzy each aspect of the present invention.
The flow chart of the data monitoring method that Fig. 1 provides for one embodiment of the invention.As it is shown in figure 1,
This data monitoring method comprises the steps:
Step S1: during data monitoring, receives and parses through data to be monitored, obtains this and treat
The data monitoring type identification of Monitoring Data, and set up the data monitoring point table of these data to be monitored.
Specifically, by receiving data to be monitored from monitored entity and its data form being carried out
Resolve, obtain the data monitoring type identification of its correspondence, and set up data monitoring point table for it.Should
Data monitoring point table at least includes the data monitoring type identification of data to be monitored, and the present invention is to this
Other fields in table are not any limitation as, and can include all fields of available data monitoring point table.
The flow chart of the data monitoring method that Fig. 2 provides for another embodiment of the present invention.Such as Fig. 2 institute
Show, before step S1, if needing to monitor a kind of new data monitoring type, it is also possible to include
Step S0: input the monitoring attribute information of a data monitoring type, to set up corresponding data monitoring
Type list.
Specifically, this data monitoring type list can include component total number to be observed, each to be observed
The monitoring attribute information etc. of component, the monitoring attribute information of component the most to be observed can include that this is treated
The title of observational components, unit and feature, such as: the need of calculating accumulative difference and rate of change,
If desired, the unit of accumulative difference and rate of change unit etc..Table 1 is in one embodiment of the invention
The sample of data monitoring type list.
Table 1 data monitoring type list
Wherein, the number of n is determined by field VarNum, such as, in a preferred embodiment, takes
n=4。
Continue referring to Fig. 1 and Fig. 2, step S2: according to the number of these acquired data to be monitored
According to monitoring type identification, the data monitoring type list of its correspondence that inquiry has stored, obtain this and wait to supervise
Survey the monitoring attribute information of data.
Specifically, as a example by the data monitoring type list in table 1, illustrate how to obtain this and treat
The monitoring attribute information of Monitoring Data.The data monitoring typonym of data as to be monitored in this is for measuring
Robot data monitors, then this data monitoring type list is as shown in table 2.
Table 2 robot measurement data monitoring type list
| Field name SurveyTypeID SurveyTypeName | Value 0 Robot measurement data monitoring |
| VarNum | 3 |
| Var_1_Name | X |
| Var_1_Unit | mm |
| Var_1_Changeable | TRUE |
| Var_1_ChangeUnit | mm |
| Var_1_Speedunit | Mm/ days |
| Var_2_Name | Y |
| Var_2_Unit | mm |
| Var_2_Changeable | TRUE |
| Var_2_ChangeUnit | mm |
| Var_2_Speedunit | Mm/ days |
| Var_3_Name | Y |
| Var_3_Unit | mm |
| Var_3_Changeable | TRUE |
| Var_3_ChangeUnit | mm |
| Var_3_Speedunit | Mm/ days |
As shown in Table 2, the monitoring attribute information of these data to be monitored be component total number to be observed be 3
Individual, respectively X, Y and Z, these 3 components to be observed are required to calculate accumulative difference and rate of change
And corresponding record unit etc..
Step S3: according to the monitoring attribute information of these data to be monitored obtained, set up this to be monitored
The Monitoring Data table of data.
Specifically, the Monitoring Data table of these data to be monitored can include these data to be monitored mark,
The data monitoring point table of these data to be monitored, the data monitoring type identification of these data to be monitored, prison
Survey time and value, variable quantity and the pace of change etc. of each component to be observed, wherein it is possible to by bag
Mode containing the pointer of the data monitoring point table pointing to these data to be monitored includes this data to be monitored
Data monitoring point table.Table 3 is the Monitoring Data table of the data to be monitored in one embodiment of the invention
Sample.
The Monitoring Data table of table 3 data to be monitored
| Field | Implication |
| DataID | The mark of data to be monitored |
| PointID | Point to the pointer of the data monitoring point table of data to be monitored |
| SurveyTypeID | The data monitoring type identification of data to be monitored |
| ObserveDate | The monitoring time |
| Value1 | The value of the 1st component to be observed |
| Chang1 | This variable quantity of 1st component to be observed |
| Speed1 | The rate of change of the 1st component to be observed |
| Value2 | The value of the 2nd component to be observed |
| Chang2 | This variable quantity of 2nd component to be observed |
| Speed2 | The rate of change of the 2nd component to be observed |
| … | … |
| ValueN | The value of N component to be observed |
| ChangN | This variable quantity of N component to be observed |
| SpeedN | The rate of change of N component to be observed |
Wherein, N is equal to the component total number to be observed in data monitoring type list.
If the monitoring attribute information of these data to be monitored only includes a component to be observed, and this waits to see
Survey component to need to calculate accumulative difference and rate of change, read the most simultaneously Value1, Change1 and
Speed1；If this component to be observed need not calculate accumulative difference and rate of change, the most only read
Value1。
If the monitoring attribute information of these data to be monitored includes N number of component to be observed, and these wait to see
Survey component and need to calculate accumulative difference and rate of change, read Value1～ValueN the most simultaneously,
Change1～ChangN and Speed1～SpeedN；Tire out if these components to be observed need not calculate
Meter difference and rate of change, the most only read Value1～ValueN.
To sum up, the data monitoring method provided by the present invention, it is only necessary to data to be monitored
Monitoring Data table, it is possible to meet the requirement of multiple data monitoring type so that online data is monitored
System can compatible multiple unknown data monitoring type, thus reach without change data structure and on
Layer visual software code can realize the purpose of compatible new data monitoring type, reduces software
Development cost, shortens the system Construction cycle.
The data monitoring system that Fig. 3 provides for one embodiment of the invention.As it is shown on figure 3, these data
Monitoring system 1 includes: interface module 11, parsing module 12, enquiry module 13 and output module
14.Wherein, interface module 11 is connected to monitored entity (not shown) and parsing module 12
Between, receive the data to be monitored of monitored entity, and export to parsing module 12.Parsing module
12, it is connected with enquiry module 13, interface module 11 and output module 14 respectively, resolves from this
These data to be monitored of interface module 11 output, set up the data monitoring point table of these data to be monitored,
And obtain the data monitoring type identification of these data to be monitored, by the monitoring class of these data to be monitored
Type mark is to the monitoring attribute information of enquiry module 13 these data to be monitored of requesting query.Wherein, should
Data monitoring point table at least includes the data monitoring type identification of data to be monitored, and the present invention is to this
Other fields in table are not any limitation as, and can include all fields of available data monitoring point table.
Enquiry module 13, is connected to parsing module 12, and this according to the request of this parsing module 12 is to be monitored
The monitoring type identification of data, the data monitoring type list of these data to be monitored that inquiry has stored,
Export the monitoring attribute information of these data to be monitored to this parsing module 12.Wherein, this data monitoring
Type list can include component total number to be observed, the monitoring attribute information etc. of each component to be observed,
Component the most to be observed monitoring attribute information can include the title of this component to be observed, unit and
Feature, such as: the need of calculating accumulative difference and rate of change, if desired, the unit of accumulative difference and
Rate of change unit etc..Output module 14, is connected to parsing module 12, according to this parsing module 12
The data monitoring point table of these data to be monitored of output and data monitoring attribute information, set up this and treat
The Monitoring Data table of Monitoring Data.Wherein, the Monitoring Data table of these data to be monitored can include this
The mark of data to be monitored, point to the pointer of the data monitoring point table of these data to be monitored, this waits to supervise
Survey the data monitoring type identification of data, monitoring time and the monitoring attribute information of each component to be observed
Deng, the monitoring attribute information of the most each component to be observed can include the value of each component to be observed, change
Change amount and pace of change etc..
The data monitoring system that Fig. 4 provides for another embodiment of the present invention.As shown in Figure 4, this number
Also include input module 25, Connection inquiring module 23 according to monitoring system 2, input a data monitoring class
The monitoring attribute information of type, and it is output to this enquiry module 23.And, this enquiry module 23
In addition to performing the repertoire of enquiry module 13, it is additionally operable to receive being somebody's turn to do of this input module 25 output
The attribute information of data monitoring type, to set up and to store the data monitoring class of this data monitoring type
Type table.The function of other modules and connected mode etc. are consistent with described above, do not repeat them here.
To sum up, the data monitoring system provided by the present invention, it is only necessary to data to be monitored
Monitoring Data table, it is possible to meet the requirement of multiple data monitoring type so that online data is monitored
System can compatible multiple unknown data monitoring type, thus reach without change data structure and on
Layer visual software code can realize the purpose of compatible new data monitoring type, reduces software
Development cost, shortens the system Construction cycle.
More than it is particularly shown and described the illustrative embodiments of the present invention.It should be understood that this
Invention is not limited to disclosed embodiment, is included in appended right on the contrary, it is intended to contain
Various amendments in claimed range and equivalent replacement.
Claims (8)
1. a data monitoring method, it is characterised in that include step:
S1) during data monitoring, receive and parse through data to be monitored, obtain this number to be monitored
According to data monitoring type identification, and set up the data monitoring point table of these data to be monitored；
S2) according to the data monitoring type identification of these acquired data to be monitored, inquiry has stored
The data monitoring type list that these data to be monitored are corresponding, to obtain the monitoring attribute letter of these data to be monitored
Breath；And,
S3) according to the monitoring attribute information of these data to be monitored obtained, these data to be monitored are set up
Monitoring Data table；
Wherein this data monitoring type list includes component total number to be observed and the prison of each component to be observed
Survey attribute information.
Data monitoring method the most according to claim 1, wherein, before step S1, also includes
Step:
S0) when needing to monitor a kind of new data monitoring type, the prison of this data monitoring type is inputted
Survey attribute information, to set up the data monitoring type list of this data monitoring type.
Data monitoring method the most according to claim 1, wherein, the monitoring attribute of this component to be observed
Information includes the title of this component to be observed, unit and feature.
Data monitoring method the most according to claim 3, wherein, the feature bag of this component to be observed
Include the need of calculating accumulative difference and rate of change.
5. according to the data monitoring method of claim 1 or 2, wherein, this data monitoring point table is extremely
Include the data monitoring type identification of these data to be monitored less.
6. according to the data monitoring method of claim 1 or 2, wherein, the prison of these data to be monitored
Survey that tables of data includes the mark of these data to be monitored, the data monitoring point table of these data to be monitored, this treats
The data monitoring type identification of Monitoring Data, monitoring time and the value of each component to be observed, variable quantity
And rate of change.
7. a data monitoring system, it is characterised in that including:
Interface module, receives data to be monitored；
Parsing module, resolves these data to be monitored exported from this interface module, sets up this number to be monitored
According to data monitoring point table, and obtain the data monitoring type identification of these data to be monitored, treated by this
The monitoring type identification monitoring attribute to these data to be monitored of enquiry module requesting query of Monitoring Data
Information；
Enquiry module, according to the monitoring type identification of these data to be monitored that this parsing module is asked, looks into
Asking the data monitoring type list of these data to be monitored stored, the monitoring exporting these data to be monitored belongs to
Property information is to this parsing module；And,
Output module, the data monitoring point table of these data to be monitored exported according to this parsing module and
Data monitoring attribute information, sets up the Monitoring Data table of these data to be monitored；
Wherein this data monitoring type list includes component total number to be observed and the prison of each component to be observed
Survey attribute information.
Data monitoring system the most according to claim 7, wherein, also includes:
Input module, inputs the monitoring attribute information of a data monitoring type, and is output to this and looks into
Ask module；And,
This enquiry module, is additionally operable to receive the attribute letter of this data monitoring type of this input module output
Breath, to set up and to store the data monitoring type list of this data monitoring type.
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| CN107908728B (en) * | 2017-11-14 | 2020-10-02 | 广东电网有限责任公司电力科学研究院 | Storage and access method for on-line monitoring data historical value |
| CN108256001A (en) * | 2017-12-31 | 2018-07-06 | 安徽中凯信息产业股份有限公司 | A kind of artificial intelligence communication data monitors system |
| CN111128357B (en) * | 2019-12-30 | 2022-12-02 | 南京天溯自动化控制系统有限公司 | Hospital logistics energy consumption target object monitoring method and device and computer equipment |
| CN112883000B (en) * | 2021-03-17 | 2022-04-15 | 中国有色金属长沙勘察设计研究院有限公司 | Deformation monitoring radar data file storage method |
| CN113051304B (en) * | 2021-04-02 | 2022-06-24 | 中国有色金属长沙勘察设计研究院有限公司 | Calculation method for fusion of radar monitoring data and three-dimensional point cloud |
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