CN112131213A - Method and device for collecting field survey data, terminal and storage medium - Google Patents
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Abstract
The application provides a method and a device for acquiring field survey data, a terminal and a storage medium, comprising the following steps: receiving initial data from an offsite end comprising at least one item; cleaning and screening the initial data to obtain first intermediate data; comparing the first intermediate data with preset data to obtain a missing item in the first intermediate data; sending the item missing in the first intermediate data to the field end; receiving supplemental data from the offsite end that includes the missing item in the first intermediate data; cleaning and screening the supplementary data to obtain second intermediate data; and integrating the first intermediate data and the second intermediate data to obtain final data comprising all items in the preset data. The method, the device, the terminal and the storage medium for acquiring the field survey data can effectively improve the efficiency of acquiring the field survey data.
Description
Technical Field
The application relates to the field of data acquisition, in particular to a method and device for field investigation data acquisition, a terminal and a storage medium.
Background
In the field of basic research of natural science, practitioners need to manually collect a large amount of discrete field survey data, and the field survey data is not only diverse in types but also different in space-time distribution and has complexity; with the deep development of the interdisciplinary research, massive discrete field investigation data is needed as a research basis, which provides a higher standard for data acquisition.
In the prior art, at present, a large amount of water, soil, gas, biomass and other field survey data are collected, and most data are rush to a data collection point (or area), data collection and recording are carried out by means of equipment, and then the data enter the next data collection point (or area); and after the field data acquisition is finished, returning to a place (or a laboratory) to carry out summarization, pretreatment, reanalysis and deep processing of the data. The workflow is easy to cause that the collected data can not reach the expected target and can not meet the requirements of projects (or experiments), thereby increasing the cost of the projects (or experiments), delaying the expected progress of the projects (or experiments) and having low efficiency.
Disclosure of Invention
The application aims to provide a method and a device for collecting field survey data, a terminal and a storage medium, which can improve the efficiency of collecting the field survey data.
The embodiment of the application is realized as follows:
a method of field survey data acquisition, comprising: receiving initial data from an offsite end comprising at least one item; cleaning and screening the initial data to obtain first intermediate data; comparing the first intermediate data with preset data to obtain a missing item in the first intermediate data; sending the item missing in the first intermediate data to the field end; receiving supplemental data from the offsite end that includes the missing item in the first intermediate data; cleaning and screening the supplementary data to obtain second intermediate data; and integrating the first intermediate data and the second intermediate data to obtain final data comprising all items in the preset data.
Further, the washing and screening the initial data comprises: comparing the initial data with the preset data; obtaining and eliminating the part of the item in the initial data, which does not belong to the item in the preset data; and/or obtaining and eliminating data of items with incomplete data in the initial data; and/or obtaining and eliminating data of items with format errors or content errors in the initial data; and/or obtaining and eliminating data of items with logic errors in the initial data.
Further, the washing and screening the supplementary data comprises: comparing the supplementary data with the preset data; obtaining and eliminating the part of the items in the supplementary data, which do not belong to the items in the preset data; and/or obtaining and eliminating data of items with incomplete data in the supplementary data; and/or obtaining and eliminating data of items with format errors or content errors in the supplementary data; and/or obtaining and eliminating data of items with logic errors in the supplementary data.
Further, the initial data includes items including at least one of hydrology, soil, weather climate, vegetation population, and foundation geography.
Further, the initial data comprises a plurality of basic data, each basic data comprises at least one item, and all the basic data are integrated to form the initial data.
Further, receiving initial data from an offsite end including at least one item includes: and receiving all the basic data by using a remote signal, and integrating all the basic data to form the initial data.
A system for field survey data collection, comprising: the signal receiving module is used for receiving an initial data signal from an external end through a remote signal; the storage module is electrically connected to the signal receiving module and used for storing the initial data and preset data; the processing module is electrically connected to the storage module and used for comparing the initial data with the preset data, cleaning and screening the initial data according to a comparison result to obtain first intermediate data, and comparing the first intermediate data with the preset data to obtain a missing item in the first intermediate data; and the signal transmitting module is electrically connected with the processing module and is used for transmitting the missing items in the first intermediate data to the field end.
A terminal, comprising: a memory storing a computer program operable on the processor and a processor implementing the steps of the method of field survey data collection of any one of claims 1 to 6 when the program is executed.
A computer readable storage medium having stored thereon a computer program which when executed performs the steps in the method of field survey data collection of any one of claims 1 to 6.
The method and the device for collecting field survey data, the terminal and the storage medium provided by the application receive initial data including at least one project from the field through remote signals, then clean and screen the initial data, remove part of data which does not meet the requirements, obtaining first intermediate data meeting the requirements, then comparing the first intermediate main sentence with preset data to obtain a missing item in the first intermediate data, then utilizing a remote signal to send the missing item in the first intermediate data to the field end, the field workers can supplement the missing items in the first intermediate data through field collection, and the above steps are repeated until all the final items meet the required final data, the field staff does not need to rush back and forth to the field and a laboratory, so that the field investigation data acquisition efficiency can be effectively improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required 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 application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a flowchart of a method for field survey data acquisition according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. 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 application.
First embodiment
The embodiment provides a method for collecting field survey data, which comprises the following steps:
s1, receiving initial data including at least one project from the field. The initial data can be acquired by workers in field and field, and can be sent to a cloud server through portable terminal equipment (such as a mobile phone, a tablet computer, a notebook computer and the like), and the workers in a laboratory can check the data through the server.
The initial data may include a plurality of basic data, each of which includes at least one item, and all the basic data are integrated to form the initial data. The staff can divide into a plurality of groups, and the staff of different groups can be responsible for gathering the basic data in different regions. For example, part of the group of workers can collect data of hydrological projects of rivers at different positions of the rivers, and the data of the hydrological projects at each position is basic data; the partial group of workers can collect data of soil projects at different positions in the area, and the data of the soil projects in each area are basic data.
After the basic data are collected by the workers of all groups, the basic data can be completely sent to the server at the cloud end, all the basic data can be integrated at the cloud end to form initial data, all the workers do not need to cooperate with one another to form the initial data, and the acquisition operation of the workers of different groups at different time is facilitated.
And S2, cleaning and screening the initial data to obtain first intermediate data. The washing and screening of the initial data may employ a processor having a processing module.
Washing and screening the initial data may include the steps of:
and S21, comparing the initial data with preset data. The preset data may be stored in a storage having a storage module, the preset data includes all items, and the items in the preset data may include at least one of hydrology, soil, weather climate, vegetation population, and basic geography.
Specifically, the hydrologic project may include: at least one of water quality, water level, flow velocity, flow rate, water quantity, sand content or sand content, water surface evaporation, runoff, underground water burial depth, river ice content (slush), water temperature and soil moisture content.
The soil items may include: at least one of soil type, soil moisture, soil nutrients, soil salinity, soil profile, soil organic matter (soil fertility), soil texture (sandy soil, sandy loam, light loam, medium loam, heavy loam, and clay).
Weather climate items may include: at least one of air pressure, air temperature (2 meters near the surface), atmospheric humidity (atmospheric water-vapor pressure and saturated air pressure, water-vapor mixing ratio, absolute humidity, relative humidity, specific humidity, saturation difference and dew point, etc.), wind (wind direction and wind speed), cloud (cloud shape, cloud height and cloud amount), precipitation, evapotranspiration, radiation (solar short wave radiation, surface long wave radiation, atmospheric long wave radiation, soil heat flux, photosynthetically active radiation, sensible heat and latent heat), sunshine hours, illumination intensity, visibility, frost point and atmospheric pollution.
The vegetation population project may include: at least one of forests (coniferous forests, coniferous and deciduous broadleaf mixed forests, deciduous broadleaf forests, evergreen broadleaf forests and shrubs), grasslands (meadow grasslands, typical grasslands and desert grasslands), shrubs (evergreen coniferous shrubs, evergreen broadleaf shrubs, deciduous broadleaf shrubs and shrubs, etc.), deserts (stony deserts, gravelly deserts, sandy deserts and muddy deserts) and swamps (woody swamps, herbaceous swamps and peat swamps).
The base geographic item may include: and at least one of latitude and longitude, altitude, topography and relief degree.
And S22, obtaining and eliminating the parts of the items in the initial data, which do not belong to the items in the preset data. For example, in a hydrological project, the soil type does not belong to the hydrological project, so the soil type under the hydrological project in the initial data is rejected.
And S23, obtaining and eliminating data of the items with incomplete data in the initial data. For example, in a hydrological project, the water quality data in the preset data needs to include water quality data at three different positions, and the initial data only includes two data, so that the water quality data in the hydrological project in the initial data is removed.
And S24, obtaining and eliminating data of the items with format errors or content errors in the initial data. For example, in a hydrological project, the water level data should be height, and the water level data in the initial data is volume, the water level data in the hydrological project is removed.
And S25, obtaining and eliminating the data of the items with logical errors in the initial data. For example, in a hydrological project, if the flow rate is faster, the corresponding flow rate is larger, and the flow rate data corresponding to the part of the initial data with the faster flow rate is smaller, the flow rate data and the flow rate data in the hydrological project are removed.
It should be noted that the cleaning and screening of the initial data may include at least one of the steps S22, S23, S24, and S25.
And S3, comparing the first intermediate data with preset data, namely browsing/checking the first intermediate data to obtain the missing items in the first intermediate data. After the part of data is removed, the first intermediate data may have a missing part compared with the preset data, and the missing part may be the removed part or a collection of the original data itself missing part and the removed part.
And comparing the first intermediate data with preset data, and if the item missing in the first intermediate data is not obtained, performing processing such as archiving, reanalysis, publishing and the like on the first intermediate data.
And S4, sending the items missing in the first intermediate data to the field end. Remote signals such as radio can be used for sending the items missing in the first middle to the outdoor end, and after the items are received by workers located in the field, the items missing in the first middle data are collected on the spot to supplement the items missing in the first middle data, the workers do not need to return to the field again after returning to a laboratory, and the time of the workers on the road can be saved.
And S5, receiving supplementary data including the items missing in the first intermediate data from the field end. After the workers located in the field gather the data of the items missing in the first intermediate data again, the supplementary data can be sent to the cloud server through remote signals such as radio signals, and the time for the workers to return to a laboratory from the field is saved.
And S6, cleaning and screening the supplementary data to obtain second intermediate data.
The washing and screening of the supplemental data may include the steps of:
and S61, comparing the supplementary data with the preset data. The preset data may be stored in a storage having a storage module, the preset data includes all items, and the items in the preset data may include at least one of hydrology, soil, weather climate, vegetation population, and basic geography.
And S62, obtaining and eliminating the parts of the items in the supplementary data, which do not belong to the items in the preset data. For example, in a hydrological project, the soil type does not belong to it, so the soil type under the hydrological project in the supplementary data is rejected.
And S63, obtaining and eliminating data of the items with incomplete data in the supplementary data. For example, in a hydrological project, the water quality data in the preset data needs to include water quality data at three different positions, and the supplementary data only includes two data, so that the water quality data in the hydrological project in the supplementary data is removed.
And S64, obtaining and eliminating the data of the items with format errors or content errors in the supplementary data. For example, in a hydrological project, the water level data should be height, and the water level data in the supplementary data is volume, the water level data in the hydrological project is removed.
And S25, obtaining and eliminating the data of the items with logic errors in the supplementary data. For example, in a hydrological project, if the flow rate is faster, the corresponding flow rate is larger, and the flow rate data corresponding to the partial data with the faster flow rate in the supplementary data is smaller, the flow rate data and the flow rate data in the hydrological project are removed.
It should be noted that the cleaning and screening of the supplementary data may include at least one of the steps S62, S63, S64, and S65.
The steps S3, S4, S5, and S6 are repeated until there is no missing item in the first intermediate data.
After repeating the steps S3, S4, S5 and S6 a plurality of times, if there are still missing items in the first intermediate data, the following steps are required:
and S7, modifying a cloud server data processing algorithm, namely modifying a method for cleaning and screening the data, for example, if the water level data in the normal hydrological project is removed as abnormal data, the method for cleaning and screening needs to be modified so that the water level data in the normal hydrological project can be stored.
And S8, integrating the first intermediate data and the second intermediate data to obtain final data comprising all items in the preset data. For example, after repeating the steps S3, S4, S5 and S6 three times, three second intermediate data may be obtained, and after all the first intermediate data and the second intermediate data are integrated, the obtained final data is the final data including all the items in the preset data.
Second embodiment
The present embodiment provides a system for field survey data acquisition, which is used for executing the method for field survey data acquisition in the first embodiment, and comprises the following steps: the device comprises a signal receiving module, a storage module, a processing module and a signal transmitting module.
The signal receiving module is used for receiving initial data signals from the field end through remote signals. The initial signal is the initial signal in the first embodiment.
And the storage module is electrically connected to the signal receiving module and used for storing initial data and preset data. The preset data is the preset data in the first embodiment.
And the processing module is electrically connected with the storage module and used for comparing the initial data with the preset data, cleaning and screening the initial data according to the comparison result to obtain first intermediate data, and comparing the first intermediate data with the preset data to obtain the missing items in the first intermediate data.
And the signal transmitting module is electrically connected with the processing module and is used for transmitting the missing items in the first intermediate data to the field end. After receiving the data, the workers in the field can collect the missing items in the first intermediate data on the spot to obtain the supplementary data so as to supplement the missing items in the first intermediate data, and the workers do not need to return to the field again after returning to a laboratory, so that the time of the workers on the road can be saved.
Of course, the processing module may also be configured to compare the supplementary data with the preset data, clean and screen the supplementary data according to the comparison result to obtain second intermediate data, and compare the second intermediate data with the preset data to obtain a missing item in the first intermediate data.
The signal transmitting module can also be used for transmitting the missing items in the first intermediate data to the field end. After receiving the data, the workers in the field can collect the missing items in the first intermediate data on the spot and obtain the supplementary data again to supplement the missing items in the first intermediate data, and the workers do not need to return to the field again after returning to a laboratory, so that the time of the workers on the road can be saved.
Third embodiment
The present embodiment provides a terminal, which includes a storage and a processor, where the storage stores a computer program capable of running on the processor, and the processor executes the computer program to implement the steps in the method for collecting field survey data provided in the first embodiment.
Fourth embodiment
The present embodiment provides a computer-readable storage medium, on which a computer program is stored, which when executed implements the steps in the method for field survey data collection provided by the first embodiment.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (9)
1. A method of field survey data acquisition, comprising:
receiving initial data from an offsite end comprising at least one item;
cleaning and screening the initial data to obtain first intermediate data;
comparing the first intermediate data with preset data to obtain a missing item in the first intermediate data;
sending the item missing in the first intermediate data to the field end;
receiving supplemental data from the offsite end that includes the missing item in the first intermediate data;
cleaning and screening the supplementary data to obtain second intermediate data;
and integrating the first intermediate data and the second intermediate data to obtain final data comprising all items in the preset data.
2. The method of field survey data collection of claim 1,
the washing and screening of the initial data comprises:
comparing the initial data with the preset data;
obtaining and eliminating the part of the item in the initial data, which does not belong to the item in the preset data; and/or the presence of a gas in the gas,
obtaining and eliminating data of items with incomplete data in the initial data; and/or
Obtaining and eliminating data of items with format errors or content errors in the initial data; and/or the presence of a gas in the gas,
and obtaining and eliminating data of items with logic errors in the initial data.
3. The method of field survey data collection of claim 1,
the washing and screening of the supplemental data includes:
comparing the supplementary data with the preset data;
obtaining and eliminating the part of the items in the supplementary data, which do not belong to the items in the preset data; and/or the presence of a gas in the gas,
obtaining and eliminating data of items with incomplete data in the supplementary data; and/or
Obtaining and eliminating data of items with format errors or content errors in the supplementary data; and/or the presence of a gas in the gas,
and obtaining and eliminating data of items with logic errors in the supplementary data.
4. The method of claim 1, wherein the initial data includes items including at least one of hydrology, soil, weather climate, vegetation population, and underlying geography.
5. The method of claim 1, wherein the initial data comprises a plurality of base data, each of the base data comprising at least one item, all of the base data being integrated to form the initial data.
6. The method of field survey data collection of claim 5 wherein receiving initial data from an off-site including at least one item comprises:
and receiving all the basic data by using a remote signal, and integrating all the basic data to form the initial data.
7. A system for field survey data collection, comprising:
the signal receiving module is used for receiving an initial data signal from an external end through a remote signal;
the storage module is electrically connected to the signal receiving module and used for storing the initial data and preset data;
the processing module is electrically connected to the storage module and used for comparing the initial data with the preset data, cleaning and screening the initial data according to a comparison result to obtain first intermediate data, and comparing the first intermediate data with the preset data to obtain a missing item in the first intermediate data;
and the signal transmitting module is electrically connected with the processing module and is used for transmitting the missing items in the first intermediate data to the field end.
8. A terminal, comprising: the device comprises a storage and a processor, wherein the storage is stored with a computer program capable of running on the processor, and the processor executes the computer program to realize the steps of the method for collecting field survey data.
9. A computer-readable storage medium, having stored thereon a computer program which, when executed, performs the steps of the method for field survey data acquisition described above.
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