CN113515526A - Data acquisition system and method - Google Patents
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- CN113515526A CN113515526A CN202110875820.5A CN202110875820A CN113515526A CN 113515526 A CN113515526 A CN 113515526A CN 202110875820 A CN202110875820 A CN 202110875820A CN 113515526 A CN113515526 A CN 113515526A
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- 238000012163 sequencing technique Methods 0.000 claims abstract description 13
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- 238000004891 communication Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 4
- 238000013480 data collection Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2474—Sequence data queries, e.g. querying versioned data
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
Abstract
The invention discloses a data acquisition system and a method, which relate to the technical field of data acquisition, and the method comprises the steps of acquiring an acquisition instruction, and determining execution logic and acquisition ending time according to the acquisition instruction; creating an acquisition instruction execution table, and classifying the acquisition instruction to a corresponding position of the execution table according to execution logic; reading acquisition instructions in an acquisition instruction execution table, and performing priority ordering on the acquisition instructions belonging to the same category; and executing acquisition according to the ordered acquisition instruction. The system comprises: the system comprises an acquisition module, a table creation module, a sorting module and an execution module. The execution logic classifies the acquisition instruction to the corresponding position of the execution table, the classified acquisition instruction is convenient for unified acquisition, and the time is saved. The acquisition instructions belonging to the same category are subjected to priority sequencing, and the acquisition sequence is manually configured, so that the labor force is liberated.
Description
Technical Field
The invention relates to the technical field of data acquisition, in particular to a data acquisition system and a data acquisition method.
Background
Data Acquisition (DAQ) refers to automatically acquiring non-electric quantity or electric quantity signals from analog and digital units to be tested, such as sensors and other devices to be tested, and sending the signals to an upper computer for analysis and processing.
The collected data are various physical quantities such as temperature, water level, wind speed, pressure, etc. which have been converted into electrical signals, and may be analog quantities or digital quantities. The acquisition is generally a sampling mode, that is, the same point data is repeatedly acquired at certain time intervals (called sampling period). The acquired data are mostly instantaneous values, but also characteristic values within a certain period of time. Accurate data measurements are the basis for data acquisition. The data measurement method includes contact and non-contact, and the detection elements are various. No matter which method and element, the data correctness is ensured on the premise of not influencing the state of the object to be measured and the measurement environment.
In the prior art, the data acquisition mode is to manually configure the acquisition time and the acquisition sequence, and the acquisition efficiency is low.
Disclosure of Invention
In order to overcome the above problems or at least partially solve the above problems, embodiments of the present invention provide a data acquisition system and method to improve acquisition efficiency.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present invention provides a data acquisition method, including:
acquiring an acquisition instruction, and determining execution logic and acquisition ending time according to the acquisition instruction; creating an acquisition instruction execution table, and classifying the acquisition instruction to the corresponding position of the execution table according to the execution logic; reading acquisition instructions in an acquisition instruction execution table, and performing priority ordering on the acquisition instructions belonging to the same category; executing acquisition according to the ordered acquisition instructions; the method for priority ordering comprises the following steps: and calculating the remaining time between the current time and the acquisition ending time, and sequencing the remaining time from short to long.
In such a method, the execution logic classifies the acquisition instruction into a corresponding position of the execution table, and the execution logic includes single execution, sequential execution and random execution. The classified acquisition instructions are convenient for unified acquisition, and time is saved. The acquisition instructions belonging to the same category are subjected to priority sequencing, and the acquisition sequence is manually configured, so that the labor force is liberated.
Based on the first aspect, in some embodiments of the present invention, the method for prioritizing further includes: calculating the remaining time between the current time and the acquisition ending time and the time consumed by the task; calculating the residual time to subtract the time consumed by the task to obtain the execution time; and sequencing the execution time from short to long.
Based on the first aspect, in some embodiments of the present invention, the method further includes: establishing a standard instruction attribute library, and inputting standard instructions of various categories; carrying out similarity matching on the acquired acquisition instruction and a standard instruction; and determining the category of the standard instruction with the highest similarity, and classifying the acquired acquisition instruction under the category.
Based on the first aspect, in some embodiments of the present invention, the method further includes: establishing a standard instruction time base, inputting the historical execution time of each acquired instruction into the standard instruction time base, calculating the average execution time according to the historical execution time, and inputting the average execution time into the standard instruction time base; and recording the average execution time of the acquisition instruction as the execution time of the acquisition instruction.
In a second aspect, an embodiment of the present invention provides a data acquisition system, including: the acquisition module is used for acquiring an acquisition instruction and determining execution logic and acquisition ending time according to the acquisition instruction; the table creating module is used for creating an acquisition instruction execution table and classifying the acquisition instruction to the corresponding position of the execution table according to the execution logic; the sorting module is used for reading the acquisition instructions in the acquisition instruction execution table and sorting the priority of the acquisition instructions belonging to the same category; the sorting module is internally provided with a first calculating module used for calculating the remaining time between the current time and the acquisition ending time and sorting the remaining time from short to long, and an executing module used for executing acquisition according to the sorted acquisition instruction.
Based on the second aspect, in some embodiments of the invention, the execution logic at least includes: monolithic execution, sequential execution, and random execution.
Based on the second aspect, in some embodiments of the present invention, the sorting module is further internally provided with a second calculating module, and the second calculating module is configured to calculate a remaining time between the current time and the acquisition end time and a time consumed by the task, calculate a time consumed by the task at this time subtracted from the remaining time to obtain an execution time, and sort the execution time from short to long.
Based on the second aspect, in some embodiments of the invention, further comprising: and the standard instruction attribute library is used for inputting standard instructions of various categories, matching the acquired acquisition instructions with the standard instructions in similarity, determining the category of the standard instructions with the highest similarity, and classifying the acquired acquisition instructions under the category.
In a third aspect, an embodiment of the present invention provides an electronic device, including: at least one processor, at least one memory, and a data bus; wherein: the processor and the memory complete mutual communication through the data bus; the memory stores program instructions executable by the processor, and the processor calls the program instructions to execute the method.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, where the non-transitory computer-readable storage medium stores a computer program, and the computer program causes the computer to execute the method described above.
The embodiment of the invention at least has the following advantages or beneficial effects:
in a first aspect, an embodiment of the present invention provides a data acquisition method, including: acquiring an acquisition instruction, and determining execution logic and acquisition ending time according to the acquisition instruction; creating an acquisition instruction execution table, and classifying the acquisition instruction to the corresponding position of the execution table according to the execution logic; reading acquisition instructions in an acquisition instruction execution table, and performing priority ordering on the acquisition instructions belonging to the same category; executing acquisition according to the ordered acquisition instructions; the method for priority ordering comprises the following steps: and calculating the remaining time between the current time and the acquisition ending time, and sequencing the remaining time from short to long. In such a method, the execution logic classifies the acquisition instruction into a corresponding position of the execution table, and the execution logic includes single execution, sequential execution and random execution. The classified acquisition instructions are convenient for unified acquisition, and time is saved. The acquisition instructions belonging to the same category are subjected to priority sequencing, and the acquisition sequence is manually configured, so that the labor force is liberated.
In a second aspect, an embodiment of the present invention provides a data acquisition system, including: the acquisition module is used for acquiring an acquisition instruction and determining execution logic and acquisition ending time according to the acquisition instruction; the table creating module is used for creating an acquisition instruction execution table and classifying the acquisition instruction to the corresponding position of the execution table according to the execution logic; the sorting module is used for reading the acquisition instructions in the acquisition instruction execution table and sorting the priority of the acquisition instructions belonging to the same category; the sorting module is internally provided with a first calculating module used for calculating the remaining time between the current time and the acquisition ending time and sorting the remaining time from short to long, and an executing module used for executing acquisition according to the sorted acquisition instruction. In such a system, the form creating module classifies the acquisition instruction into the corresponding position of the execution form through the execution logic, and the execution logic includes single execution, sequential execution and random execution. The classified acquisition instructions are convenient for unified acquisition, and time is saved. The acquisition instructions belonging to the same category are subjected to priority sorting through the sorting module, the acquisition sequence is manually configured, and labor force is liberated.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flow chart of an embodiment of a data collection method of the present invention;
FIG. 2 is a flow chart of another embodiment of a data collection method of the present invention;
FIG. 3 is a schematic diagram of a data acquisition system according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to the present invention.
Icon: 1. an acquisition module; 2. creating a table module; 3. a sorting module; 4. an execution module; 5. a processor; 6. a memory; 7. a data bus.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. 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.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the embodiments provided in the present application, it should be understood that the disclosed system may be implemented in other ways. The system embodiments are merely illustrative, and for example, the block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems and computer program products according to various embodiments of the present application. In this regard, each block in the block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device, which may be a personal computer, a server, or a network device, to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
In the description of the embodiments of the present invention, it should be further noted that unless otherwise explicitly stated or limited, the terms "disposed" and "connected" should be interpreted broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Examples
Referring to fig. 1-2, in a first aspect, an embodiment of the present invention provides a data acquisition method, including:
s1: acquiring an acquisition instruction, and determining execution logic and acquisition ending time according to the acquisition instruction;
the data are acquired by acquiring the instruction, similarly to the data acquisition performed by the equipment inputting the acquisition instruction according to the acquisition instruction, the acquisition instruction can be a program, a code and the like, the execution logic comprises single execution, sequential execution, random execution and the like, and the acquisition ending time refers to the time when the acquisition task is executed by the corresponding acquisition instruction and the acquisition is stopped at a certain moment.
S2: creating an acquisition instruction execution table, and classifying the acquisition instruction to the corresponding position of the execution table according to the execution logic;
and creating an acquisition instruction execution table, classifying according to execution logic of the acquisition instruction, classifying into a column of single execution if the acquisition instruction is single execution, classifying into a column of sequential execution if the acquisition instruction is sequential execution, and classifying into a column of random execution if the acquisition instruction is random execution. The classified acquisition instructions are convenient for unified acquisition, and time is saved.
S3: reading acquisition instructions in an acquisition instruction execution table, and performing priority ordering on the acquisition instructions belonging to the same category;
the method for priority ordering comprises the following steps:
s3-1: and calculating the remaining time between the current time and the acquisition ending time, and sequencing the remaining time from short to long.
In the above steps, the shorter the remaining time is, the shorter the acquisition remaining time of the acquisition instruction is, the more urgent the time is, and the acquisition instruction with the short remaining time is preferentially executed, so that the method is more humanized.
The method for prioritizing further comprises:
s3-2: calculating the remaining time between the current time and the acquisition ending time and the time consumed by the task; calculating the residual time to subtract the time consumed by the task to obtain the execution time; and sequencing the execution time from short to long.
In the above steps, the time for acquiring the instruction to execute the task is inconsistent, some instructions have long time for acquiring the instruction to execute the task, and some instructions have short time for acquiring the instruction to execute the task, so that the execution time obtained by subtracting the time consumed by the task is calculated to sequence the execution time from short to long.
S4: executing acquisition according to the ordered acquisition instructions;
in such a method, the execution logic classifies the acquisition instruction into a corresponding position of the execution table, and the execution logic includes single execution, sequential execution and random execution. The classified acquisition instructions are convenient for unified acquisition, and time is saved. The acquisition instructions belonging to the same category are subjected to priority sequencing, and the acquisition sequence is manually configured, so that the labor force is liberated.
Based on the first aspect, in some embodiments of the present invention, the method further includes: establishing a standard instruction attribute library, and inputting standard instructions of various categories; carrying out similarity matching on the acquired acquisition instruction and a standard instruction; and determining the category of the standard instruction with the highest similarity, and classifying the acquired acquisition instruction under the category.
In the above embodiment, the similarity between the acquisition instruction and the standard instruction is judged, so that the standard instruction with the highest matching degree can be quickly obtained, the execution logic of the acquisition instruction is accurately known, and the acquisition instruction can be conveniently and quickly classified.
Based on the first aspect, in some embodiments of the present invention, the method further includes: establishing a standard instruction time base, inputting the historical execution time of each acquired instruction into the standard instruction time base, calculating the average execution time according to the historical execution time, and inputting the average execution time into the standard instruction time base; and recording the average execution time of the acquisition instruction as the execution time of the acquisition instruction.
In the above embodiment, the average execution time is calculated according to the historical execution time, the average execution time is recorded into the standard instruction time base, the average execution time of the acquisition instruction is recorded as the execution time of the acquisition instruction, and the acquisition instruction is conveniently prioritized according to the execution time of the current acquisition instruction.
Referring to fig. 3, in a second aspect, an embodiment of the invention provides a data acquisition system, including: the acquisition module 1 is used for acquiring an acquisition instruction, and determining execution logic and acquisition ending time according to the acquisition instruction; a table creating module 2, configured to create an acquisition instruction execution table, and classify the acquisition instruction to a corresponding position of the execution table according to the execution logic; the sorting module 3 is used for reading the acquisition instructions in the acquisition instruction execution table and sorting the priority of the acquisition instructions belonging to the same category; the sorting module 3 is internally provided with a first calculating module for calculating the remaining time from the current time to the acquisition ending time and sorting the remaining time from short to long, and the executing module 4 is used for executing acquisition according to the sorted acquisition instruction.
In such a system, the table creating module 2 classifies the acquisition instruction into the corresponding position of the execution table through the execution logic, and the execution logic includes single execution, sequential execution and random execution. The classified acquisition instructions are convenient for unified acquisition, and time is saved. The acquisition instructions belonging to the same category are subjected to priority sorting through the sorting module 3, the acquisition sequence is manually configured, and the labor force is liberated.
Illustratively, the execution logic includes at least: monolithic execution, sequential execution, and random execution.
Further, the sorting module 3 is further internally provided with a second calculating module, and the second calculating module is configured to calculate a remaining time between the current time and the acquisition end time and a time consumed by the task, calculate a time consumed by the task at this time subtracted from the remaining time to obtain an execution time, and sort the execution time from short to long. Further, the method also comprises the following steps: and the standard instruction attribute library is used for inputting standard instructions of various categories, matching the acquired acquisition instructions with the standard instructions in similarity, determining the category of the standard instructions with the highest similarity, and classifying the acquired acquisition instructions under the category.
Referring to fig. 4, in a third aspect, an embodiment of the invention provides an electronic device, including: at least one processor 5, at least one memory 6 and a data bus 7; wherein: the processor 5 and the memory 6 complete communication with each other through the data bus 7; the memory 6 stores program instructions executable by the processor 5, and the processor 5 calls the program instructions to execute the method. For example, performing: acquiring an acquisition instruction, and determining execution logic and acquisition ending time according to the acquisition instruction; creating an acquisition instruction execution table, and classifying the acquisition instruction to the corresponding position of the execution table according to the execution logic; reading acquisition instructions in an acquisition instruction execution table, and performing priority ordering on the acquisition instructions belonging to the same category; and executing acquisition according to the ordered acquisition instruction.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, where the non-transitory computer-readable storage medium stores a computer program, and the computer program causes the computer to execute the method described above. For example, performing: acquiring an acquisition instruction, and determining execution logic and acquisition ending time according to the acquisition instruction; creating an acquisition instruction execution table, and classifying the acquisition instruction to the corresponding position of the execution table according to the execution logic; reading acquisition instructions in an acquisition instruction execution table, and performing priority ordering on the acquisition instructions belonging to the same category; and executing acquisition according to the ordered acquisition instruction.
To sum up, in a first aspect, an embodiment of the present invention provides a data acquisition method, including: acquiring an acquisition instruction, and determining execution logic and acquisition ending time according to the acquisition instruction; creating an acquisition instruction execution table, and classifying the acquisition instruction to the corresponding position of the execution table according to the execution logic; reading acquisition instructions in an acquisition instruction execution table, and performing priority ordering on the acquisition instructions belonging to the same category; executing acquisition according to the ordered acquisition instructions; the method for priority ordering comprises the following steps: and calculating the remaining time between the current time and the acquisition ending time, and sequencing the remaining time from short to long. In such a method, the execution logic classifies the acquisition instruction into a corresponding position of the execution table, and the execution logic includes single execution, sequential execution and random execution. The classified acquisition instructions are convenient for unified acquisition, and time is saved. The acquisition instructions belonging to the same category are subjected to priority sequencing, and the acquisition sequence is manually configured, so that the labor force is liberated.
In a second aspect, an embodiment of the present invention provides a data acquisition system, including: the acquisition module 1 is used for acquiring an acquisition instruction, and determining execution logic and acquisition ending time according to the acquisition instruction; a table creating module 2, configured to create an acquisition instruction execution table, and classify the acquisition instruction to a corresponding position of the execution table according to the execution logic; the sorting module 3 is used for reading the acquisition instructions in the acquisition instruction execution table and sorting the priority of the acquisition instructions belonging to the same category; the sorting module 3 is internally provided with a first calculating module for calculating the remaining time from the current time to the acquisition ending time and sorting the remaining time from short to long, and the executing module 4 is used for executing acquisition according to the sorted acquisition instruction. In such a system, the table creating module 2 classifies the acquisition instruction into the corresponding position of the execution table through the execution logic, and the execution logic includes single execution, sequential execution and random execution. The classified acquisition instructions are convenient for unified acquisition, and time is saved. The acquisition instructions belonging to the same category are subjected to priority sorting through the sorting module 3, the acquisition sequence is manually configured, and the labor force is liberated.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application 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 application 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 (10)
1. A method of data acquisition, comprising:
acquiring an acquisition instruction, and determining execution logic and acquisition ending time according to the acquisition instruction;
creating an acquisition instruction execution table, and classifying the acquisition instruction to the corresponding position of the execution table according to the execution logic;
reading acquisition instructions in an acquisition instruction execution table, and performing priority ordering on the acquisition instructions belonging to the same category;
executing acquisition according to the ordered acquisition instructions;
the method for prioritizing comprises:
and calculating the remaining time from the current time to the acquisition ending time, and sequencing the remaining time from short to long.
2. A method as claimed in claim 1, wherein the prioritizing further comprises:
calculating the remaining time between the current time and the acquisition ending time and the time consumed by the task;
calculating the residual time to subtract the time consumed by the task to obtain the execution time;
and sorting the execution time from short to long.
3. A data acquisition method according to claim 1, further comprising:
establishing a standard instruction attribute library, and inputting standard instructions of various categories;
carrying out similarity matching on the acquired acquisition instruction and a standard instruction;
and determining the category of the standard instruction with the highest similarity, and classifying the acquired acquisition instruction under the category.
4. A data acquisition method according to claim 1, further comprising:
establishing a standard instruction time base, inputting the historical execution time of each acquired instruction into the standard instruction time base, calculating the average execution time according to the historical execution time, and inputting the average execution time into the standard instruction time base;
and recording the average execution time of the acquisition instruction as the execution time of the acquisition instruction.
5. A data acquisition system, comprising:
the acquisition module is used for acquiring an acquisition instruction and determining execution logic and acquisition ending time according to the acquisition instruction;
the table creating module is used for creating an acquisition instruction execution table and classifying the acquisition instruction to the corresponding position of the execution table according to the execution logic;
the sorting module is used for reading the acquisition instructions in the acquisition instruction execution table and sorting the priority of the acquisition instructions belonging to the same category; the sorting module is internally provided with a first calculating module and is used for calculating the remaining time between the current time and the acquisition ending time and sorting the remaining time from short to long;
and the execution module is used for executing acquisition according to the ordered acquisition instruction.
6. The data acquisition system of claim 5, wherein the execution logic comprises at least:
monolithic execution, sequential execution, and random execution.
7. The data acquisition system according to claim 5, wherein the sorting module further comprises a second computing module, and the second computing module is configured to:
calculating the remaining time from the current time to the acquisition ending time and the time consumed by the task, subtracting the time consumed by the task from the remaining time to obtain the execution time, and sequencing the execution time from short to long.
8. A data acquisition system according to claim 5, further comprising:
and the standard instruction attribute library is used for inputting standard instructions of various categories, matching the acquired acquisition instructions with the standard instructions in similarity, determining the category of the standard instructions with the highest similarity, and classifying the acquired acquisition instructions under the category.
9. An electronic device, comprising:
at least one processor, at least one memory, and a data bus; wherein:
the processor and the memory complete mutual communication through the data bus; the memory stores program instructions executable by the processor, the processor calling the program instructions to perform the method of any of claims 1 to 4.
10. A non-transitory computer-readable storage medium storing a computer program that causes a computer to perform the method according to any one of claims 1 to 4.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101895428A (en) * | 2010-07-27 | 2010-11-24 | 中兴通讯股份有限公司 | Acquisition system and acquisition point distribution method |
| CN103631650A (en) * | 2012-08-25 | 2014-03-12 | 成都勤智数码科技股份有限公司 | Collection scheduling method used for IT operation and maintenance system |
| CN104699736A (en) * | 2014-11-21 | 2015-06-10 | 北京华悦科技有限公司 | Distributed massive data acquisition system and method based on mobile devices |
| CN111198546A (en) * | 2020-01-02 | 2020-05-26 | 北京众信易保科技有限公司 | Data acquisition control method and system |
-
2021
- 2021-07-30 CN CN202110875820.5A patent/CN113515526A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101895428A (en) * | 2010-07-27 | 2010-11-24 | 中兴通讯股份有限公司 | Acquisition system and acquisition point distribution method |
| CN103631650A (en) * | 2012-08-25 | 2014-03-12 | 成都勤智数码科技股份有限公司 | Collection scheduling method used for IT operation and maintenance system |
| CN104699736A (en) * | 2014-11-21 | 2015-06-10 | 北京华悦科技有限公司 | Distributed massive data acquisition system and method based on mobile devices |
| CN111198546A (en) * | 2020-01-02 | 2020-05-26 | 北京众信易保科技有限公司 | Data acquisition control method and system |
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Application publication date: 20211019 |