CN117708131B - Data acquisition method and data acquisition platform - Google Patents
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- 238000013480 data collection Methods 0.000 claims abstract description 17
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- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 19
- 239000001569 carbon dioxide Substances 0.000 claims description 19
- 238000004590 computer program Methods 0.000 claims description 17
- 238000002372 labelling Methods 0.000 claims description 15
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Abstract
The present disclosure provides a data acquisition method and a data acquisition platform, which belong to the technical field of data processing, and the method comprises: and determining a first data acquisition parameter according to the data use information input by the target user. And generating target data acquisition parameters according to the second data acquisition parameters and the first data acquisition parameters input by the target user. Laboratory data is collected from the subordinate data end based on the target data collection parameters. The data acquisition method and the data acquisition platform provided by the disclosure can not only directly acquire the source data of a laboratory site, but also determine different first data acquisition parameters according to the data application information, so that the data report generated based on the source data is directly acquired, the data acquisition efficiency is improved, and the digital acquisition process of the laboratory data is realized.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a data acquisition method and a data acquisition platform.
Background
With the rapid development of internet technology, the current society has entered a big data age, however, the collection, statistics and editing of laboratory data at present lack informatization and digitalization data collection means, a large number of data reports and analysis reports are required to be collected in a form of manual record or electronic document, and the data collection efficiency is low. In addition, backtracking, screening and matching of laboratory historical data reports also require relying on complex human procedures. How to realize online editing and data collection of various laboratory data by a digital means becomes a current urgent problem to be solved, so a data collection method and a data collection platform are needed to solve the above problem.
Disclosure of Invention
The disclosure aims to provide a data acquisition method and a data acquisition platform so as to improve the data acquisition efficiency of a laboratory.
In a first aspect of an embodiment of the present disclosure, a data acquisition method is provided, including:
and determining a first data acquisition parameter according to the data use information input by the target user.
And generating target data acquisition parameters according to the second data acquisition parameters and the first data acquisition parameters input by the target user.
Laboratory data is collected from a subordinate data end based on the target data collection parameters.
In a second aspect of embodiments of the present disclosure, there is provided a data acquisition platform comprising:
And the first data acquisition parameter determining module is used for determining the first data acquisition parameters according to the data use information input by the target user.
And the target data acquisition parameter generation module is used for generating target data acquisition parameters according to the second data acquisition parameters and the first data acquisition parameters input by the target user.
And the data acquisition module is used for acquiring laboratory data from a subordinate data end based on the target data acquisition parameters.
In a third aspect of the disclosed embodiments, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the data acquisition method described above when the processor executes the computer program.
In a fourth aspect of the disclosed embodiments, there is provided a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the data acquisition method described above.
The data acquisition method and the data acquisition platform provided by the embodiment of the disclosure have the beneficial effects that:
According to the data acquisition method provided by the embodiment of the disclosure, the target data acquisition parameters can be generated according to the first data acquisition parameters and the second data acquisition parameters, laboratory data is acquired from a lower data end according to the target data acquisition parameters, and a data acquisition process is realized. The first data acquisition parameter process can ensure that all necessary data are acquired, so that the condition of acquisition omission of important data is prevented, and the first data acquisition parameter process can be determined according to data use information input by a target user; the second data acquisition parameters are edited and input on line by the target user, and can be set by the target user in a self-defined way, so that the flexibility is realized. The data acquisition method not only can directly acquire the source data of the laboratory site, but also can determine different first data acquisition parameters according to the data use information, so that the data report generated based on the source data is acquired, the data acquisition efficiency is improved, the digital acquisition process of the laboratory data is realized, and the labor cost is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings that are required for the embodiments or the description of the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings may be obtained according to these drawings without inventive effort for a person of ordinary skill in the art.
Fig. 1 is a flow chart of a data acquisition method according to an embodiment of the disclosure;
FIG. 2 is a block diagram of a data acquisition platform according to an embodiment of the present disclosure;
fig. 3 is a schematic block diagram of an electronic device provided in an embodiment of the present disclosure.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the disclosed embodiments. However, it will be apparent to one skilled in the art that the present disclosure may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present disclosure with unnecessary detail.
For the purposes of promoting an understanding of the principles and advantages of the disclosure, reference will now be made to the embodiments illustrated in the drawings.
Referring to fig. 1, fig. 1 is a flowchart of a data acquisition method according to an embodiment of the disclosure, where the method includes:
s101: and determining a first data acquisition parameter according to the data use information input by the target user.
In this embodiment, the determining the first data acquisition parameter according to the data usage information input by the target user may be described in detail as:
The target user is a user needing data acquisition, and the target user can determine the first data acquisition parameters by inputting data use information. The first data acquisition parameter process can ensure that all necessary data are acquired, and the condition that important data are not acquired is prevented. The data use information represents descriptions of different operations on different types of data, and the data use information can be a plurality of information; the first data acquisition parameters comprise a plurality of data acquisition fields, and corresponding different data are acquired according to the data acquisition fields.
The present embodiment provides a reference example, for example, the data usage information input by a target user is: archiving the temperature data, generating a report form for the illumination data, and intelligently analyzing the carbon dioxide concentration data. According to the data use information input by the target user, determining the first data acquisition parameters as follows: temperature data, light data, and carbon dioxide concentration data.
S102: and generating target data acquisition parameters according to the second data acquisition parameters and the first data acquisition parameters input by the target user.
In this embodiment, the generating the target data acquisition parameter according to the second data acquisition parameter and the first data acquisition parameter input by the target user may be described in detail as:
the target user inputs second data acquisition parameters in an online editing mode, wherein the second data acquisition parameters are data attributes supplemented by the target user according to the data use information or newly added data acquisition fields on the basis of the first data acquisition parameters. The second data acquisition parameters may include, but are not limited to: data acquisition frequency, data acquisition time, data acquisition times, etc. And merging the first data acquisition parameters and the second data acquisition parameters to obtain the generated target data acquisition parameters. The essence of the target data acquisition parameter is a data acquisition template, and corresponding data or report forms are acquired according to the data acquisition fields and the attributes thereof specified by the target data acquisition parameter.
The embodiment provides a reference example, for example, the first data acquisition parameters are: temperature data, light data, and carbon dioxide concentration. The second data acquisition parameters input by the target user are as follows: data acquisition frequency, data acquisition time, data acquisition times, humidity data and the like. The first data acquisition parameters and the second data acquisition parameters are combined to obtain the generated target data acquisition parameters: temperature data, temperature data acquisition frequency, temperature data acquisition time, temperature data acquisition times, illumination data acquisition frequency, illumination data acquisition time, illumination data acquisition times, carbon dioxide concentration data acquisition frequency, carbon dioxide concentration data acquisition time, carbon dioxide concentration data acquisition times, humidity data acquisition frequency, humidity data acquisition time and humidity data acquisition times.
S103: laboratory data is collected from the subordinate data end based on the target data collection parameters.
In this embodiment, laboratory data is collected from a subordinate data end based on target data collection parameters, which can be described in detail as:
and acquiring laboratory data corresponding to the target data acquisition parameters from a subordinate data end according to the generated target data acquisition parameters, thereby completing a data acquisition process.
According to the data acquisition method, the target data acquisition parameters can be generated according to the first data acquisition parameters and the second data acquisition parameters, laboratory data is acquired from a lower data end according to the target data acquisition parameters, and the data acquisition process is realized. The first data acquisition parameters can be determined according to the data usage information input by the target user, the data usage information can comprise a plurality of data operation modes, the acquisition of source data can be realized, the generated data report can be directly acquired, different first data acquisition parameters are determined according to the data usage information, and the target data acquisition parameters are determined by combining the second data acquisition parameters, so that the data acquisition process is realized. The method not only can improve the data acquisition speed, but also can realize the digital acquisition process of laboratory data, thereby reducing the labor cost and improving the data acquisition efficiency.
In one embodiment of the present disclosure, before the data acquisition of the laboratory data based on the target data acquisition parameters, further comprising:
and responding to the data usage information display data usage including report generation, and determining corresponding report acquisition information based on the data acquisition fields or the data usage information in the target data acquisition parameters.
And adding the report acquisition information into the target data acquisition parameters.
In this embodiment, in response to the data usage information displaying that the data usage includes report generation, determining corresponding report collection information based on the data collection field or the data usage information in the target data collection parameter may be described in detail as:
If the data usage information input by the target user shows that the data usage comprises report generation, the data acquisition field or the data usage information in the target data acquisition parameters is searched at the moment, so that the corresponding report acquisition information is obtained.
The report acquisition information is added into the target data acquisition parameters, and can be described as follows:
The report collection information may include report generation time, report name, report data type, etc. And adding the report acquisition information obtained in the previous step into the target data acquisition parameters, and acquiring laboratory data corresponding to the target data acquisition parameters.
According to the method, the corresponding data report can be directly collected according to the report collection information, the report is not required to be regenerated after the corresponding data is collected, the corresponding data report is obtained directly according to the report collection information, and therefore the data collection efficiency is improved.
In one embodiment of the present disclosure, determining report acquisition information based on data acquisition fields in target data acquisition parameters includes:
and matching a plurality of data acquisition fields in the target data acquisition parameters with a plurality of first reports acquired in advance, and determining the first report with the matching degree of the plurality of data acquisition fields larger than the first preset matching degree as the target report. The first report is a report generated by the history of the lower data end.
And determining the acquisition information of each target report as report acquisition information.
In this embodiment, a plurality of data acquisition fields in the target data acquisition parameters are matched with a plurality of first reports acquired in advance, and a first report with a matching degree with the plurality of data acquisition fields greater than a first preset matching degree is determined as a target report, which can be described in detail as follows:
Extracting a plurality of data acquisition fields contained in target data acquisition parameters, matching the data acquisition fields with a plurality of first reports acquired in advance, setting a first preset matching degree in advance, and determining a first report with the field matching degree larger than the first preset matching degree as a target report. The matching degree comparison method comprises the following steps: and comparing the target data acquisition parameters with a plurality of data acquisition fields in a plurality of first reports acquired in advance, wherein the number of the data acquisition fields overlapped with the target data acquisition parameters is the matching degree of the target data acquisition parameters and the data acquisition fields. The first report is a report generated by the lower data end in the history record. And determining the acquired information of each target report as report acquisition information.
The embodiment provides a reference example, for example, a plurality of data acquisition fields included in a target data acquisition parameter are: temperature data, temperature data acquisition frequency, temperature data acquisition time, temperature data acquisition times, illumination data acquisition frequency, illumination data acquisition time, illumination data acquisition times, carbon dioxide concentration data acquisition frequency, carbon dioxide concentration data acquisition time, carbon dioxide concentration data acquisition times, humidity data acquisition frequency, humidity data acquisition time and humidity data acquisition times. The plurality of data acquisition fields contained in a first report which is acquired in advance are: illumination data, illumination data acquisition frequency, illumination data acquisition time, illumination data acquisition times, carbon dioxide concentration data acquisition frequency, carbon dioxide concentration data acquisition time and carbon dioxide concentration data acquisition times. The first preset matching degree is set to be 12, and the matching degree of the first report and the target data acquisition parameter is set to be 8. The plurality of data acquisition fields contained in the pre-acquired second report form are as follows: temperature data, temperature data acquisition frequency, temperature data acquisition time, temperature data acquisition times, illumination data acquisition frequency, illumination data acquisition time, illumination data acquisition times, carbon dioxide concentration data acquisition frequency, carbon dioxide concentration data acquisition time, carbon dioxide concentration data acquisition times, humidity data acquisition frequency, humidity data acquisition time and humidity data acquisition times. The matching degree of the second report and the target data acquisition parameter is 16. And therefore, the second report is determined to be a target report, and the acquired information of the second report is determined to be report acquired information.
According to the method, in the data acquisition process, if the subordinate data end needs to acquire the target report corresponding to different data, the data acquisition method not only can directly acquire the source data, but also can match a plurality of data acquisition fields in the target data acquisition parameters with a plurality of first reports acquired in advance, and the plurality of first reports are screened according to the acquired report acquisition information, so that the target report is directly acquired. The data acquisition method can screen the first report in advance to obtain the target report corresponding to the report acquisition information, so that the data acquisition speed is improved, and the data acquisition efficiency and accuracy are ensured.
In one embodiment of the present disclosure, determining report acquisition information based on data usage information includes:
And determining report information contained in the data use information.
And determining a plurality of first reports corresponding to the report information according to the history matching result. The history matching result is a matching result of a history report and a first report, the history report is a report generated by the history of the terminal, and the first report is a report generated by the history of a lower data end.
And determining the acquired information of the corresponding multiple first reports as report acquired information.
In this embodiment, report information included in the data usage information input by the target user is determined. On the basis, inquiring a corresponding historical report form from a preset database based on the report information.
The determining of the first reports corresponding to the report information according to the history matching result may be described in detail as:
The history matching result is the matching result of the corresponding history report and the first report, the history report is a report generated by the history of the terminal, the first report is a report generated by the history of the lower data end, wherein the matching result of the report generated by the history of the terminal and the first report is the history matching result, and a plurality of first reports corresponding to report information are determined according to the history matching result. And determining the acquired information of the first reports as report acquired information. The collection information can comprise data collection frequency, data collection time and the like, and the collection information can be determined through the generation frequency of the first report and the generation time of the first report.
The embodiment provides a reference example, for example, report information is: and (5) carrying out illumination data statistics. The report generated by the terminal history comprises: the illumination time length, the illumination intensity and the illumination intensity are larger than the preset illumination intensity. The report generated by the history of the lower data terminal comprises: the illumination time length, the illumination intensity and the illumination intensity are smaller than the preset illumination intensity. The history matching result of the report generated by the terminal history and the report generated by the next-stage data terminal history is as follows: illumination duration, illumination intensity. And determining a plurality of first reports corresponding to the report information according to the history matching result, wherein the acquisition information of the plurality of first reports can be determined to be the illumination data acquisition frequency and the illumination data acquisition time through the generation frequency and the generation time of the plurality of first reports, namely the report acquisition information.
In one embodiment of the present disclosure, determining a first data acquisition parameter from data usage information entered by a target user includes:
and determining a first data acquisition parameter corresponding to the data use information based on a preset mapping relation. The mapping relation is the corresponding relation between the data use information and the data acquisition parameters.
In this embodiment, determining the first data acquisition parameter corresponding to the data usage information based on the preset mapping relationship may be described in detail as follows:
A mapping relation is preset, wherein the preset mapping relation is a corresponding relation between the data use information and the data acquisition parameters and is used for determining a first data acquisition parameter corresponding to the data use information. Wherein the data usage information is data usage information inputted by the target user.
In one embodiment of the present disclosure, the data acquisition method further includes:
And acquiring the historical data acquisition parameters and the labeling information corresponding to the historical data acquisition parameters. The labeling information is the data use information of the pre-labeled historical data acquisition parameters.
And determining an intersection field in the historical data acquisition parameters corresponding to each type of annotation information, and determining the acquisition parameters corresponding to the intersection field as acquisition parameter information corresponding to each type of annotation information to determine a mapping relation.
In this embodiment, the obtaining of the historical data collection parameter and the labeling information corresponding to the historical data collection parameter may be described in detail as follows:
Each historical data acquisition parameter has corresponding labeling information, the labeling information is data use information of the historical data acquisition parameters labeled in advance by a target user, and the historical data acquisition parameters and the labeling information corresponding to the historical data acquisition parameters are extracted.
Determining an intersection field in the historical data acquisition parameters corresponding to each type of annotation information, and determining the acquisition parameters corresponding to the intersection field as the acquisition parameter information corresponding to each type of annotation information to determine a mapping relation, wherein the mapping relation can be described in detail as follows:
And acquiring an intersection of fields in the historical data acquisition parameters corresponding to each type of annotation information to obtain intersection fields in the historical data acquisition parameters corresponding to each type of annotation information, and determining the acquisition parameters corresponding to the intersection fields as acquisition parameter information corresponding to each type of annotation information so as to determine a mapping relation.
The embodiment provides a reference example, for example, labeling information corresponding to historical data acquisition parameters is: illumination data. One historical data acquisition parameter corresponding to the labeling information is as follows: illumination time length, illumination intensity and illumination condition; the other historical data acquisition parameters corresponding to the labeling information are as follows: illumination time length, illumination intensity and illumination angle. Acquiring an intersection of fields in the historical data acquisition parameters corresponding to the labeling information, wherein the acquired intersection fields are as follows: illumination duration, illumination intensity. The acquisition parameters corresponding to the intersection field are the acquisition parameter information corresponding to the labeling information.
In one embodiment of the present disclosure, the lower level data terminal is a data terminal adapted to a laboratory site.
Laboratory data includes: temperature data, humidity data, carbon dioxide concentration data, and illumination data.
In this embodiment, the lower level data terminal refers to a data terminal adapted to a laboratory site.
Wherein the collectable laboratory data comprises: temperature data, humidity data, carbon dioxide concentration data, illumination data and the like, and laboratory data can be customized according to actual laboratory conditions.
Corresponding to the data acquisition method of the above embodiment, fig. 2 is a block diagram of a data acquisition platform according to an embodiment of the present disclosure. For ease of illustration, only portions relevant to embodiments of the present disclosure are shown. Referring to fig. 2, the data acquisition platform 20 includes: a first data acquisition parameter determination module 21, a target data acquisition parameter generation module 22 and a data acquisition module 23.
The first data acquisition parameter determining module 21 is configured to determine a first data acquisition parameter according to the data usage information input by the target user.
The target data acquisition parameter generating module 22 is configured to generate target data acquisition parameters according to the second data acquisition parameters and the first data acquisition parameters input by the target user.
The data acquisition module 23 is used for acquiring laboratory data from a subordinate data end based on the target data acquisition parameters.
In one embodiment of the present disclosure, the data acquisition module 23 is specifically configured to:
and responding to the data usage information display data usage including report generation, and determining corresponding report acquisition information based on the data acquisition fields or the data usage information in the target data acquisition parameters.
And adding the report acquisition information into the target data acquisition parameters.
In one embodiment of the present disclosure, the data acquisition module 23 is specifically configured to:
And matching a plurality of data acquisition fields in the target data acquisition parameters with a plurality of first reports acquired in advance, and determining the first report with the matching degree of the plurality of data acquisition fields larger than the first preset matching degree as the target report. The first report is a report generated by the history of the lower data end.
And determining the acquisition information of each target report as report acquisition information.
In one embodiment of the present disclosure, the data acquisition module 23 is specifically configured to:
And determining report information contained in the data use information.
And determining a plurality of first reports corresponding to the report information according to the history matching result. The history matching result is a matching result of a history report and a first report, the history report is a report generated by the history of the terminal, and the first report is a report generated by the history of a lower data end.
And determining the acquired information of the corresponding multiple first reports as report acquired information.
In one embodiment of the present disclosure, the first data acquisition parameter determining module 21 is specifically configured to:
and determining a first data acquisition parameter corresponding to the data use information based on a preset mapping relation. The mapping relation is the corresponding relation between the data use information and the data acquisition parameters.
In one embodiment of the present disclosure, the first data acquisition parameter determining module 21 is specifically configured to:
And acquiring the historical data acquisition parameters and the labeling information corresponding to the historical data acquisition parameters. The labeling information is the data use information of the pre-labeled historical data acquisition parameters.
And determining an intersection field in the historical data acquisition parameters corresponding to each type of annotation information, and determining the acquisition parameters corresponding to the intersection field as acquisition parameter information corresponding to each type of annotation information to determine a mapping relation.
In one embodiment of the present disclosure, the lower level data terminal is a data terminal adapted to a laboratory site.
Laboratory data includes: temperature data, humidity data, carbon dioxide concentration data, and illumination data.
Referring to fig. 3, fig. 3 is a schematic block diagram of an electronic device according to an embodiment of the disclosure. The electronic device 300 in the present embodiment as shown in fig. 3 may include: one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processor 301, the input device 302, the output device 303, and the memory 304 communicate with each other via a communication bus 305. The memory 304 is used to store a computer program comprising program instructions. The processor 301 is configured to execute program instructions stored in the memory 304. Wherein the processor 301 is configured to invoke program instructions to perform the functions of the modules in the various device embodiments described above, such as the functions of the modules 21-23 shown in fig. 2.
It should be appreciated that in the disclosed embodiments, the Processor 301 may be a central processing unit (Central Processing Unit, CPU), which may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL processors, DSPs), application SPECIFIC INTEGRATED Circuits (ASICs), off-the-shelf Programmable gate arrays (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device 302 may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user and direction information of a fingerprint), a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc.
The memory 304 may include read only memory and random access memory and provides instructions and data to the processor 301. A portion of memory 304 may also include non-volatile random access memory. For example, the memory 304 may also store information of device type.
In a specific implementation, the processor 301, the input device 302, and the output device 303 described in the embodiments of the present disclosure may perform the implementation described in the first embodiment and the second embodiment of the data acquisition method provided in the embodiments of the present disclosure, and may also perform the implementation of the electronic device described in the embodiments of the present disclosure, which is not described herein again.
In another embodiment of the disclosure, a computer readable storage medium is provided, where the computer readable storage medium stores a computer program, where the computer program includes program instructions, where the program instructions, when executed by a processor, implement all or part of the procedures in the method embodiments described above, or may be implemented by instructing related hardware by the computer program, where the computer program may be stored in a computer readable storage medium, where the computer program, when executed by the processor, implements the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the content of the computer readable medium can be appropriately increased or decreased according to the requirements of the jurisdiction's jurisdiction and the patent practice, for example, in some jurisdictions, the computer readable medium does not include electrical carrier signals and telecommunication signals according to the jurisdiction and the patent practice.
The computer readable storage medium may be an internal storage unit of the electronic device of any of the foregoing embodiments, such as a hard disk or a memory of the electronic device. The computer readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk provided on the electronic device, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), or the like. Further, the computer-readable storage medium may also include both internal storage units and external storage devices of the electronic device. The computer-readable storage medium is used to store a computer program and other programs and data required for the electronic device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the electronic device and unit described above may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
In the several embodiments provided in the present application, it should be understood that the disclosed electronic device and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via some interfaces or units, or may be an electrical, mechanical, or other form of connection.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purposes of the embodiments of the present disclosure.
In addition, each functional unit in each embodiment of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The foregoing is merely a specific embodiment of the present disclosure, but the protection scope of the present disclosure is not limited thereto, and any equivalent modifications or substitutions will be apparent to those skilled in the art within the scope of the present disclosure, and these modifications or substitutions should be covered in the scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
Claims (7)
1. A method of data acquisition, comprising:
determining a first data acquisition parameter according to the data use information input by the target user; the data usage information represents descriptions of different operations performed on different types of data; the first data acquisition parameters comprise a plurality of data acquisition fields;
Generating target data acquisition parameters according to the second data acquisition parameters and the first data acquisition parameters input by the target user; the second data acquisition parameters are data attributes which are supplemented by the target user according to the data use information on the basis of the first data acquisition parameters or newly added data acquisition fields;
Responding to the data usage information to display that the data usage comprises report generation, and determining corresponding report acquisition information based on data acquisition fields in the target data acquisition parameters or the data usage information;
Adding the report acquisition information into the target data acquisition parameters;
determining report acquisition information based on the data acquisition field in the target data acquisition parameter, including:
Matching a plurality of data acquisition fields in the target data acquisition parameters with a plurality of first reports acquired in advance, and determining a first report with the matching degree of the plurality of data acquisition fields being greater than a first preset matching degree as a target report; the first report is a report generated by the history of the subordinate data end;
determining the acquisition information of each target report as the report acquisition information;
determining report acquisition information based on the data usage information, including:
determining report information contained in the data use information;
Determining a plurality of first reports corresponding to the report information according to the history matching result; the history matching result is a matching result of a history report and a first report, the history report is a report generated by the history of the terminal, and the first report is a report generated by the history of the subordinate data terminal;
Determining the acquired information of the corresponding multiple first reports as the report acquired information;
Laboratory data is collected from a subordinate data end based on the target data collection parameters.
2. The data acquisition method of claim 1, wherein the determining the first data acquisition parameter based on the data usage information input by the target user comprises:
Determining a first data acquisition parameter corresponding to the data use information based on a preset mapping relation; the mapping relation is the corresponding relation between the data use information and the data acquisition parameters.
3. The data acquisition method of claim 2, further comprising:
Acquiring historical data acquisition parameters and labeling information corresponding to the historical data acquisition parameters; the labeling information is data use information of the historical data acquisition parameters labeled in advance;
and determining an intersection field in the historical data acquisition parameters corresponding to each type of annotation information, and determining the acquisition parameters corresponding to the intersection field as acquisition parameter information corresponding to each type of annotation information to determine the mapping relation.
4. The data acquisition method of claim 1, wherein the subordinate data terminal is a data terminal adapted to a laboratory site;
The laboratory data includes: temperature data, humidity data, carbon dioxide concentration data, and illumination data.
5. A data acquisition platform, comprising:
The first data acquisition parameter determining module is used for determining first data acquisition parameters according to the data use information input by the target user; the data usage information represents descriptions of different operations performed on different types of data; the first data acquisition parameters comprise a plurality of data acquisition fields;
the target data acquisition parameter generation module is used for generating target data acquisition parameters according to the second data acquisition parameters and the first data acquisition parameters input by the target user; the second data acquisition parameters are data attributes which are supplemented by the target user according to the data use information on the basis of the first data acquisition parameters or newly added data acquisition fields;
Responding to the data usage information to display that the data usage comprises report generation, and determining corresponding report acquisition information based on data acquisition fields in the target data acquisition parameters or the data usage information;
Adding the report acquisition information into the target data acquisition parameters;
determining report acquisition information based on the data acquisition field in the target data acquisition parameter, including:
Matching a plurality of data acquisition fields in the target data acquisition parameters with a plurality of first reports acquired in advance, and determining a first report with the matching degree of the plurality of data acquisition fields being greater than a first preset matching degree as a target report; the first report is a report generated by the history of the subordinate data end;
determining the acquisition information of each target report as the report acquisition information;
determining report acquisition information based on the data usage information, including:
determining report information contained in the data use information;
Determining a plurality of first reports corresponding to the report information according to the history matching result; the history matching result is a matching result of a history report and a first report, the history report is a report generated by the history of the terminal, and the first report is a report generated by the history of the subordinate data terminal;
Determining the acquired information of the corresponding multiple first reports as the report acquired information;
And the data acquisition module is used for acquiring laboratory data from a subordinate data end based on the target data acquisition parameters.
6. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 4 when the computer program is executed.
7. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 4.
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