CN109522358B - Visual presentation system of Chinese agricultural map total map - Google Patents
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Abstract
The invention discloses a visual presentation system of a Chinese agricultural map general map, which comprises a data acquisition module, a data processing module and a data presentation module; the data acquisition module is used for acquiring all agricultural data related to agriculture and agricultural industry chains in a national range according to a set data acquisition principle and index; the data processing module is used for carrying out structuring processing on the agricultural data according to the index defined by the index coding rule and the set data processing specification to obtain structured data; the data presentation module is used for establishing an agricultural map total map according to the data classification rule of the map and the AMC module classification rule and the imported structured data and nationwide regional map data. The invention adopts the standard data classification rule, can realize the visualization of miscellaneous, scattered and disordered data on the agricultural natural condition, the resource map, the agricultural production distribution and the horizontal map, and also realizes the relevance between information.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a visual presentation system of a Chinese agricultural map total map.
Background
Currently, in the agricultural industry, data information on off-line is complex, such as macroscopic data, crop data, animal data, etc. related to agriculture. Taking crops as an example, each crop has planting/sowing areas, harvesting areas, yields and the like of different varieties in different periods in each area, the data volume is huge, the dimensions are diversified, and therefore the difficulty of data arrangement is relatively high, and the difficulty of intuitively displaying information with huge quantity and various dimensions is more obvious. For visual presentation of data and information, the prior art tends to stay on relatively limited charts such as bar charts, pie charts, spider web charts, and the like. The presentation of data by these graphs is typically limited to situations where the amount of data is relatively small and the dimensions are relatively small. With the advent of the big data age, these traditional picture presentation modes have failed to meet the requirements.
Although a few visualization tools are also products taking maps as carriers in the current market, the information presented is scattered due to lack of standard data classification rules behind the maps, and the relevance among the information is not reflected, so that the mining of the information is not facilitated.
Disclosure of Invention
The technical problem to be solved by the embodiment of the invention is to provide a visual presentation system of a Chinese agricultural map total map, which adopts a standard data classification rule to realize the visualization of miscellaneous, scattered and disordered data respectively under the agricultural natural conditions and resource map and the agricultural production distribution and level map, and also realize the relevance between information.
In order to solve the technical problems, the embodiment of the invention provides a visualization system of a map of Chinese agriculture, which comprises a data acquisition module, a data processing module and a data presentation module; wherein, the liquid crystal display device comprises a liquid crystal display device,
the data acquisition module is used for acquiring all agricultural data related to agriculture and agricultural industry chains in a national range according to a set data acquisition principle and index;
the data processing module is used for carrying out structuring processing on the agricultural data according to the index defined by the index coding rule and the set data processing specification to obtain structured data;
the data presentation module is used for establishing an agricultural map total map according to the data classification rule of the map and the AMC module classification rule and the imported structured data and nationwide regional map data.
Further, the data processing module is specifically configured to split the text in the agricultural data and the original data in the form of a table according to the keywords by machine learning according to the set data processing specification according to the index coding rule, obtain each index keyword, and translate each index keyword according to the index coding rule to convert the keywords into machine codes, that is, convert all the constraint conditions of the original data into a code combined by codes corresponding to each condition, where the code and the Chinese character description can be converted, thereby obtaining the structured data corresponding to the agricultural data.
Further, the index coding rule comprises a region index coding of the first layer and a custom attribute coding of the second layer; wherein, the liquid crystal display device comprises a liquid crystal display device,
the region index code comprises region attributes, classes and indexes; the regional attributes are classified into four grades of country, province, city and county, and corresponding to N, P, ci and Cy codes;
the custom attribute codes comprise statistical item, region and statistical time; the statistical item corresponds to various statistical units, and the region corresponds to specific provinces, cities and counties.
Further, the data processing specification is that specific indexes, namely area names, crop names, sowing areas, total yield and unit yield, are designed for national agricultural data according to a database architecture of China agricultural annual inspection;
specific indexes are designed for agricultural data of province, city and district according to the database structures of all places.
Further, the data classification rules of the map comprise an agricultural natural condition and resource map, an agricultural production distribution and level map and an agricultural map total map; wherein, the liquid crystal display device comprises a liquid crystal display device,
the agricultural natural condition and resource map is used for showing natural conditions, natural resources, socioeconomic conditions and agricultural technology levels related to agriculture;
the agricultural production distribution and level map is used for displaying structural characteristics of each department of agricultural production and agricultural distribution characteristics, wherein the agricultural distribution characteristics comprise a planting system, various crop sowing areas, unit area yield, total yield, crop or livestock constitution, forest distribution, livestock distribution, fishery distribution, agricultural product processing and agricultural labor productivity.
The agricultural map general map is used for displaying the agricultural region type, the comprehensive agricultural planning and the agricultural development planning according to the agricultural natural condition and resource map, the agricultural production distribution and the horizontal map.
Further, the AMC module classification rule includes an agricultural environmental resource information module, an animal husbandry module, a crop resource module, and a farming module.
Further, the data acquisition principle is that agricultural data are extracted from agricultural production data, practitioners, output and trade levels of provinces, cities and regions of the whole country; the index includes a region name, a crop name, a sowing area, a total yield, and a unit yield.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a visual presentation system of a Chinese agricultural map general map, which comprises a data acquisition module, a data processing module and a data presentation module; the data acquisition module is used for acquiring all agricultural data related to agriculture and agricultural industry chains in a national range according to a set data acquisition principle and index; the data processing module is used for carrying out structuring processing on the agricultural data according to the index defined by the index coding rule and the set data processing specification to obtain structured data; the data presentation module is used for establishing an agricultural map total map according to the data classification rule of the map and the AMC module classification rule and the imported structured data and nationwide regional map data. The invention adopts the standard data classification rule, can realize the visualization of miscellaneous, scattered and disordered data on the agricultural natural condition, the resource map, the agricultural production distribution and the horizontal map, and also realizes the relevance between information.
Drawings
Fig. 1 is a schematic structural diagram of a visual presentation system for a general map of chinese agriculture according to a first embodiment of the present invention;
fig. 2 is a schematic flow chart of a visual presentation system of a general map of chinese agriculture according to a first embodiment of the present invention;
FIG. 3 is a diagram of a second embodiment of an index definition and management background operation interface;
FIG. 4 is a diagram of a structured data background importation operation interface and query interface provided in accordance with a second embodiment of the present invention;
FIG. 5 is a diagram of the visualization effect of national agricultural data dynamic histograms provided in accordance with a second embodiment of the present invention;
fig. 6 is a diagram of a visual effect of a dynamic histogram presented after clicking a hot key of a map region according to a second embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that, the terminals mentioned in the following embodiments may be mobile terminals and non-mobile terminals, where the non-mobile terminals include desktop computers, and the mobile terminals include Smart phones (such as Android phones, iOS phones, etc.), smart glasses, smart watches, smart bracelets, tablet computers, notebook computers, personal digital assistants, and other mobile internet devices capable of performing wireless communication.
Firstly, the visual presentation of the application scene, such as the Chinese agricultural map general map, which can be provided by the invention is introduced.
In a first embodiment of the present invention, please refer to fig. 1-2.
As shown in fig. 1-2, the visual presentation system for a map overview of chinese agriculture provided in this embodiment includes a data acquisition module 100, a data processing module 200, and a data presentation module 300;
the data acquisition module 100 is configured to acquire all agricultural data related to agriculture and agricultural industry chains in a nationwide range according to a set data acquisition principle and index;
the data processing module 200 is configured to perform structural processing on the agricultural data according to the set data processing specification according to the index defined by the index coding rule, so as to obtain structural data;
the data presentation module 300 is configured to establish an agricultural map total map according to the data classification rule and the AMC module classification rule of the map, and according to the imported structured data and nationwide regional map data.
For the data acquisition module 100, it can be understood that, according to the set data acquisition principle and index, the data acquisition device and the manual process perform online and offline data acquisition, and the acquired data mainly come from the database of "Chinese agricultural annual survey" and the annual survey of each province in China, wherein the corresponding result of the database of "Chinese agricultural annual survey" is the general status of Chinese agriculture; the architecture of the database can be designed according to the requirements of the yearbook presentation or the online presentation; the processing method and the standard are that the data of the 3 parts of the 'comprehensive', 'planting industry', 'animal husbandry' in the 'agricultural economy statistics' section in the 'Chinese agricultural annual book' are all extracted to form a database; specific indexes comprise area names, crop names, sowing areas, total yield and unit yield (specific unit standards are marked on the annual certificates), the principle is that all data in the annual certificates must be extracted, and all data and data related to agriculture and agriculture industry chains must be extracted and put into a project database; the data corresponding to annual views of each province and each city in China are the agricultural part data of statistical annual views of each province and each city, and the data is extracted according to specific conditions and different indexes of each province and each city.
For the data processing module 200, it can be understood that after the data acquisition module 100 acquires the original data, the data processing module 200 processes the data according to the data processing specification, and defines the index according to the index coding rule, so that the unstructured data becomes structured, conforms to the structural data of the system to be imported in batches, and implements the data import in batches. Typically, the raw data contains: the content contains agricultural production data, practitioner, output and trade level all-round data which can cover all levels of China nationwide, province, city and district (county) up to 1949. Structurally, the method takes 20822.52236 ten thousand tons of Chinese rice yield in 2015 as an example, and comprises the unit of 2015 time, china area, rice statistical term, yield index, 20822.52236 numerical value and ten thousand tons; the specific steps of the data structuring are as follows:
machine learning split keywords; splitting original data in text and table forms according to keywords by utilizing machine learning, and matching an index definition and management background operation interface according to the characteristics of the original data;
translating the keywords according to index coding rules, and changing the keywords into machine codes;
the unique codes corresponding to the index keywords are used for keyword translation, all the limiting conditions of the original data are converted into codes combined by the codes corresponding to the conditions, and the codes and Chinese character descriptions can be converted at will; for example, the country level corresponds to N and 86 in China, the paddy corresponds to 123Rice, the yield corresponds to 000, 000 is automatically classified under the coding of 07F, and the time 2015 is not required to be converted, so that the Chinese paddy yield in 2015 is coded into N07F 000 123Rice 86 2015, corresponds to 20822.52236 ten thousand tons of data, and the complex text is converted into structured data so as to be convenient to be input into a database.
The structured data is imported in batches into an operation interface and a query interface in the background; in general, data processing is defined without the need for an operator to expend time to learn index coding rules for definition and management. And (5) according to the information of the index codes, the year, the data value, the unit and the source of the system prompt filling area, the batch import can be completed.
As for the data presentation module 300, it can be understood that after the data processing module 200 processes the raw data, an agricultural map total map is established according to the imported structured data and nationwide regional map data to reflect the agricultural total situation, such as agricultural region type, comprehensive agricultural planning, agricultural development planning, comprehensive agricultural map, and the like, so as to realize the function of dynamically presenting a large amount of multidimensional data in the form of a map.
Specifically, the agricultural map total map is composed of the following three maps: agricultural natural condition and resource map, socioeconomic condition and technical level map, agricultural production distribution and level map; the agricultural natural conditions and resource map mainly reflects natural conditions and natural resources related to agriculture, such as agricultural topography, agricultural climate, agricultural hydrology, agricultural soil, land type, land resource, agricultural vegetation, agricultural plant diseases and insect pests and the like; the socioeconomic condition and technical level map mainly reflects agricultural labor resources, agricultural technical equipment and the like, such as agricultural population, agricultural labor, hydraulic engineering, agricultural mechanization, rural electricity consumption, chemical fertilizers, pesticides, amphibious traffic conditions, agricultural institutions, scientific research institutions and the like; the agricultural production distribution and level map, also called department agricultural map, mainly reflects the distribution and characteristics of each department of agricultural production, such as agricultural department structure (see figure crop structure diagram), planting system, sowing area of various crops (grain crops, economic crops), yield per unit area, total yield, crop or livestock constitution, forest distribution, livestock distribution, fishery distribution, agricultural product processing, agricultural labor productivity, etc.
The visual presentation system of the Chinese agricultural map general map provided by the embodiment comprises a data acquisition module, a data processing module and a data presentation module; the data acquisition module is used for acquiring all agricultural data related to agriculture and agricultural industry chains in a national range according to a set data acquisition principle and index; the data processing module is used for carrying out structuring processing on the agricultural data according to the index defined by the index coding rule and the set data processing specification to obtain structured data; the data presentation module is used for establishing an agricultural map total map according to the data classification rule of the map and the AMC module classification rule and the imported structured data and nationwide regional map data. The invention adopts the standard data classification rule, can realize the visualization of miscellaneous, scattered and disordered data on the agricultural natural condition, the resource map, the agricultural production distribution and the horizontal map, and also realizes the relevance between information.
In a second embodiment of the present invention, please refer to fig. 1-6.
As shown in fig. 1, the visual presentation system for a general map of chinese agriculture provided in this embodiment includes a data acquisition module 100, a data processing module 200, and a data presentation module 300;
the data acquisition module 100 is configured to acquire all agricultural data related to agriculture and agricultural industry chains in a nationwide range according to a set data acquisition principle and index.
Specifically, the data acquisition principle is that agricultural data are extracted from agricultural production data, practitioners, output and trade levels of provinces, cities and regions of the whole country; the index includes a region name, a crop name, a sowing area, a total yield, and a unit yield.
For the data acquisition module 100, it can be understood that, according to the set data acquisition principle and index, the data acquisition device and the manual process perform online and offline data acquisition, and the acquired data mainly come from the database of "Chinese agricultural annual survey" and the annual survey of each province in China, wherein the corresponding result of the database of "Chinese agricultural annual survey" is the general status of Chinese agriculture; the architecture of the database can be designed according to the requirements of the yearbook presentation or the online presentation; the processing method and the standard are that the data of the 3 parts of the 'comprehensive', 'planting industry', 'animal husbandry' in the 'agricultural economy statistics' section in the 'Chinese agricultural annual book' are all extracted to form a database; specific indexes comprise area names, crop names, sowing areas, total yield and unit yield (specific unit standards are marked on the annual certificates), the principle is that all data in the annual certificates must be extracted, and all data and data related to agriculture and agriculture industry chains must be extracted and put into a project database; the data corresponding to annual views of each province and each city in China are the agricultural part data of statistical annual views of each province and each city, and the data is extracted according to specific conditions and different indexes of each province and each city.
The data processing module 200 is configured to perform structural processing on the agricultural data according to the set data processing specification according to the index defined by the index coding rule, so as to obtain structural data.
The data processing module is specifically configured to split text in the agricultural data and original data in a table form according to keywords by machine learning according to a set data processing specification according to indexes defined by an index coding rule, obtain each index keyword, and translate each index keyword according to the index coding rule to convert the keywords into machine codes, namely, all constraint conditions of the original data are converted into codes combined by codes corresponding to each condition, and the codes and Chinese character descriptions can be converted, so that structured data corresponding to the agricultural data are obtained.
For the data processing module 200, it can be understood that after the data acquisition module 100 acquires the original data, the data processing module 200 processes the data according to the data processing specification, and defines the index according to the index coding rule, so that the unstructured data becomes structured, conforms to the structural data of the system to be imported in batches, and implements the data import in batches. Typically, the raw data contains: the content contains agricultural production data, practitioner, output and trade level all-round data which can cover all levels of China nationwide, province, city and district (county) up to 1949. Structurally, the method takes 20822.52236 ten thousand tons of Chinese rice yield in 2015 as an example, and comprises the unit of 2015 time, china area, rice statistical term, yield index, 20822.52236 numerical value and ten thousand tons; the specific steps of the data structuring are as follows:
machine learning split keywords; splitting original data in text and table forms according to keywords by utilizing machine learning, and matching an index definition and management background operation interface according to the characteristics of the original data;
translating the keywords according to index coding rules, and changing the keywords into machine codes;
the unique codes corresponding to the index keywords are used for keyword translation, all the limiting conditions of the original data are converted into codes combined by the codes corresponding to the conditions, and the codes and Chinese character descriptions can be converted at will; for example, the country level corresponds to N and 86 in China, the paddy corresponds to 123Rice, the yield corresponds to 000, 000 is automatically classified under the coding of 07F, and the time 2015 is not required to be converted, so that the Chinese paddy yield in 2015 is coded into N07F 000 123Rice 86 2015, corresponds to 20822.52236 ten thousand tons of data, and the complex text is converted into structured data so as to be convenient to be input into a database.
The structured data is imported in batches into an operation interface and a query interface in the background; as shown in fig. 3-4, the data processing is generally defined without requiring the operator to expend time learning index encoding rules to define and manage. And (5) according to the information of the index codes, the year, the data value, the unit and the source of the system prompt filling area, the batch import can be completed.
Specifically, the index coding rule comprises a region index coding of the first layer and a custom attribute coding of the second layer; wherein, the liquid crystal display device comprises a liquid crystal display device,
the region index code comprises region attributes, classes and indexes; the regional attributes are classified into four grades of country, province, city and county, and corresponding to N, P, ci and Cy codes;
the custom attribute codes comprise statistical item, region and statistical time; the statistical item corresponds to various statistical units, and the region corresponds to specific provinces, cities and counties.
It will be appreciated that the first layer of the index encoding rule is region index encoding (second column of the table below), which is a combination of region attributes, classes, and indices. The combination of the region indexes is mainly convenient for the query and the catalog design of the DPS database background interface. The regional attribute distinguishes country/province/city/county four levels, corresponding to the N/P/Ci/Cy codes (the following table is the market level data of the city such as nanning, code Ci). Class, index and following statistic item three codes are all composed of numbers and English abbreviations. The number field is added to facilitate ordering, and important data may be ordered in front when presented in the foreground. The 06ID in the following table corresponds to a sixth class, i.e., industry data (industry data), and the related indexes include industry production values and the like. The 10GOV corresponds to an index of the production value (gross output value, abbreviated GOV).
The index coding rule second layer is the coding of other attributes except the region coding, including statistical item, region and statistical time. The statistical item corresponds to a statistical unit of cattle, tractors, fishery and the like, for example, the statistical item corresponding to 113AH in the following table is Animal husbandry (abbreviated AH). Different from the region attribute, the region corresponds to specific province and city counties, such as Henan province or Dongguan province or Huadu district, the codes come from the administrative division code table of the national statistical bureau, such as 450100 in the following table is the code of the Nanning city, and the first two digits 45 are the code of the province where the Nanning city is located, namely Guangxi Zhuang nationality; the time coding is not mentioned.
In addition, it should be noted that some statistics index itself can represent complete statistics meaning, and the statistics index item cannot be followed later. Such as "peasant average income". Most index needs to be combined with the statistics item to represent the complete statistical meaning, for example, milk yield is milk/mill (belonging to the statistics item) +yield/output (belonging to index). These two classes of indicators are distinguished by a parameter "0/1" at design time. "0" means that no statistical item is needed later.
Specifically, the data processing specification is that specific indexes, namely area names, crop names, sowing areas, total yield and unit yield, are designed for national agricultural data according to a database architecture of China agricultural annual inspection;
specific indexes are designed for agricultural data of province, city and district according to the database structures of all places.
It can be understood that the processing specification is specifically that, for the national level part, specific indexes are designed according to the database architecture of the "comprehensive", "planting industry" and "animal husbandry" 3 parts in the section "agricultural economy statistics" in the "China agricultural annual book": area name, crop name, sowing area, total yield, unit yield (specific unit standards are marked on annual book); the province, city and district (county) levels are designed completely according to specific indexes and database structures of each region (each province, city and district is different, and the format and specific indexes cannot be unified).
Wherein, 1% of the data which is completely digital field is checked in a random spot check mode (compared with the original data); the text data is subjected to spot check about 5% by adopting a manual working medium control mode, and if the error rate is found to be high, the spot check proportion needs to be improved.
The data presentation module 300 is configured to establish an agricultural map total map according to the data classification rule and the AMC module classification rule of the map, and according to the imported structured data and nationwide regional map data.
Specifically, the data classification rules of the map comprise an agricultural natural condition and resource map, an agricultural production distribution and level map and an agricultural map total map; wherein, the liquid crystal display device comprises a liquid crystal display device,
the agricultural natural condition and resource map is used for showing natural conditions, natural resources, socioeconomic conditions and agricultural technology levels related to agriculture;
the agricultural production distribution and level map is used for displaying structural characteristics of each department of agricultural production and agricultural distribution characteristics, wherein the agricultural distribution characteristics comprise a planting system, various crop sowing areas, unit area yield, total yield, crop or livestock constitution, forest distribution, livestock distribution, fishery distribution, agricultural product processing and agricultural labor productivity.
The agricultural map general map is used for displaying the agricultural region type, the comprehensive agricultural planning and the agricultural development planning according to the agricultural natural condition and resource map, the agricultural production distribution and the horizontal map.
It is understood that the agricultural natural conditions and resource map reflects mainly natural conditions and natural resources related to agriculture, such as agricultural topography, agricultural climate, agricultural hydrology, agricultural soil, land type, land resources, agricultural vegetation, agricultural insect pests, etc.; the socioeconomic condition and technical level map mainly reflects agricultural labor resources, agricultural technical equipment and other contents, such as agricultural population, agricultural labor, hydraulic engineering, agricultural mechanization, rural electricity consumption, chemical fertilizer, pesticide, amphibious traffic conditions, agricultural institutions, scientific research institutions and the like; the agricultural production distribution and level map, also called department agricultural map, mainly reflects the distribution and characteristics of each department of agricultural production, such as agricultural department structure (see figure crop structure), planting system, sowing area of various crops (grain crops and economic crops), yield per unit area, total yield, crop or livestock constitution, forest distribution, livestock distribution, fishery distribution, agricultural product processing, agricultural labor productivity and the like; the Chinese agricultural map total map mainly reflects the agricultural total conditions, such as agricultural region types, comprehensive agricultural planning, agricultural development planning, comprehensive agricultural map and the like.
Specifically, the AMC module classification rule comprises an agricultural environment resource information module, an animal husbandry module, a crop resource module and a farming module.
It can be understood that the agricultural environment resource information module is a generic term for agricultural resources and environment, which are various elements in nature that can meet the requirements of agricultural production, and is an important material basis for the existence and development of agricultural production, and agricultural natural resources refer to materials and energy sources that can be utilized in agricultural production in nature. Contains natural environment elements such as land resources, water resources, climate resources, biological resources and the like which can be utilized by agricultural production. The conditions, characteristics and development potential of agricultural natural resources in different areas are ascertained, and the agricultural natural resources are reasonably utilized, so that the agricultural natural resources have important strategic significance for developing agriculture, and are beneficial to protecting human living environment and developing national economy; climate resources include the number of climate factors such as solar radiation, heat, precipitation, and the like, as well as specific combinations thereof. Climate resources are the fundamental conditions on earth upon which life depends to be generated, present and developed. Solar radiation is an energy source produced by agriculture naturally, and 90-95% of dry matters of plant bodies are synthesized by photosynthesis through solar energy.
Agricultural climate resources are typically represented by meteorological (climate) element values that are of some agricultural significance. Climate resources determine to a considerable extent the layout, structure and yield of agricultural production and quality. The water resource can be used for industrial and agricultural production and human life development, and contains less soluble salts and no water source of toxic substances. Usually the portion of fresh water that is available for renewal year by year. This is a dynamic resource, including shallow groundwater, surface water, and soil water, with atmospheric precipitation as a primary source of replenishment. Surface water refers to water accumulated or flowing in a river, lake, pool, ditch; soil water refers to moisture absorption water and soil capillary water of soil particles of a plough layer; groundwater refers to water available for exploitation in various forms in the earth's rock or soil voids (pores, fissures, karst cave). The natural precipitation, surface water, soil water and underground water are continuously moved and alternated and mutually converted to form water circulation in the nature. The water resource has two functions for agricultural production: it is not only an important condition for agricultural production, but also a root cause of agricultural disasters such as flood, waterlogging, salt, stain, etc. The land resource is a land area on the earth surface, is a natural body formed by various factors such as landform, soil, vegetation and the like, and is a natural foundation on which human beings depend to live.
Agricultural land can be roughly classified into: (1) cultivated land refers to land where crops are cultivated, including paddy fields, watered lands, dry lands, vegetable lands, and the like. (2) The garden field refers to a perennial crop land which is planted in a continuous mode and is intensively managed, such as an orchard, a mulberry field, a tea field, a rubber field and the like. (3) Forest land refers to land where forest trees grow, and includes forest or woodland, shrub forest land, forest grass land and the like. (4) Grasslands refer to lands where growing grasses can be used for grazing or mowing raised livestock, excluding cultivated lands of grass field rotation. (5) Inland water area refers to fresh water surface such as river, lake, reservoir, pit and the like which can supply water for aquaculture and fishing, reed land and the like. (6) Coastal tidal flat, also called coastal or beach, is a place where sea side tides rise and fall, and is located between high and low tide levels, and coastal topography is called as an intertidal zone, and is a special natural resource for coastal water supply cultivation, seagoing and field making, etc.
The animal husbandry module comprises nationally main animal products: pig, cattle, sheep, etc. and its subsidiary products.
The crop resource module comprises the existing crop resources in China, and covers all commercial crops planted in China, namely various crops cultivated in agriculture, including grain crops, commercial crops (oil crops, vegetable crops, flowers, grass and trees), industrial raw crops, feed crops, medicinal crops and the like.
The farming modules include nationally main farming products, in particular mass-produced, such as chickens, ducks, geese and their accessory products (eggs etc.).
As shown in fig. 5-6, it can be understood that after the data processing module 200 processes the raw data, an agricultural map total map is established according to the imported structured data and nationwide regional map data to reflect the agricultural total situation, such as agricultural region type, comprehensive agricultural planning, agricultural development planning, comprehensive agricultural map, etc., so as to realize the function of dynamically presenting a large amount of multidimensional data in the form of a map. Map classification is classified into nationwide, provincial, and urban areas. According to the content index, crop planting, forestry, animal husbandry, fishery, fertilizer, agricultural machinery trade and the like are classified. For national data, it is presented in the form of a histogram. The presentation of the data for each provincial region is presented in the form of a Chinese map.
Specifically, the agricultural map total map is composed of the following three maps: agricultural natural condition and resource map, socioeconomic condition and technical level map, agricultural production distribution and level map; the agricultural natural conditions and resource map mainly reflects natural conditions and natural resources related to agriculture, such as agricultural topography, agricultural climate, agricultural hydrology, agricultural soil, land type, land resource, agricultural vegetation, agricultural plant diseases and insect pests and the like; the socioeconomic condition and technical level map mainly reflects agricultural labor resources, agricultural technical equipment and the like, such as agricultural population, agricultural labor, hydraulic engineering, agricultural mechanization, rural electricity consumption, chemical fertilizers, pesticides, amphibious traffic conditions, agricultural institutions, scientific research institutions and the like; the agricultural production distribution and level map, also called department agricultural map, mainly reflects the distribution and characteristics of each department of agricultural production, such as agricultural department structure (see figure crop structure diagram), planting system, sowing area of various crops (grain crops, economic crops), yield per unit area, total yield, crop or livestock constitution, forest distribution, livestock distribution, fishery distribution, agricultural product processing, agricultural labor productivity, etc.
The visual presentation system of the Chinese agricultural map general map provided by the embodiment comprises a data acquisition module, a data processing module and a data presentation module; the data acquisition module is used for acquiring all agricultural data related to agriculture and agricultural industry chains in a national range according to a set data acquisition principle and index; the data processing module is used for carrying out structuring processing on the agricultural data according to the index defined by the index coding rule and the set data processing specification to obtain structured data; the data presentation module is used for establishing an agricultural map total map according to the data classification rule of the map and the AMC module classification rule and the imported structured data and nationwide regional map data. The invention adopts the standard data classification rule, can realize the visualization of miscellaneous, scattered and disordered data on the agricultural natural condition, the resource map, the agricultural production distribution and the horizontal map, and also realizes the relevance between information.
While the foregoing is directed to the preferred embodiments of the present invention, it should be noted that modifications and variations could be made by those skilled in the art without departing from the principles of the present invention, and such modifications and variations are to be regarded as being within the scope of the invention.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-only memory (ROM), a random access memory (RandomAccessMemory, RAM), or the like.
Claims (4)
1. The visualized presentation system of the Chinese agricultural map general map is characterized by comprising a data acquisition module, a data processing module and a data presentation module; wherein, the liquid crystal display device comprises a liquid crystal display device,
the data acquisition module is used for acquiring all agricultural data related to agriculture and agricultural industry chains in a national range according to a set data acquisition principle and index;
the data processing module is used for carrying out structuring processing on the agricultural data according to the index defined by the index coding rule and the set data processing specification to obtain structured data;
the data presentation module is used for establishing an agricultural map total map according to the data classification rule of the map and the AMC module classification rule and the imported structured data and nationwide regional map data;
the data processing module is specifically configured to split text in the agricultural data and original data in a form of a table according to keywords by machine learning according to a set data processing specification according to indexes defined by an index coding rule, obtain each index keyword, and translate each index keyword according to the index coding rule to convert the keywords into machine codes, namely, all constraint conditions of the original data are converted into codes combined by codes corresponding to each condition, and the codes and Chinese character descriptions can be converted, so that structured data corresponding to the agricultural data are obtained; the index coding rule comprises a region index code of a first layer and a custom attribute code of a second layer; the custom attribute codes comprise statistical item, region and statistical time;
the AMC module classification rule comprises an agricultural environment resource information module, an animal husbandry module, a crop resource module and a breeding industry module;
the data classification rules of the map comprise an agricultural natural condition and resource map, an agricultural production distribution and level map and an agricultural map total map; wherein, the liquid crystal display device comprises a liquid crystal display device,
the agricultural natural condition and resource map is used for showing natural conditions, natural resources, socioeconomic conditions and agricultural technology levels related to agriculture;
the agricultural production distribution and level map is used for displaying structural characteristics of various departments of agricultural production and agricultural distribution characteristics, wherein the agricultural distribution characteristics comprise a planting system, various crop sowing areas, unit area yield, total yield, crop or livestock constitution, forest distribution, livestock distribution, fishery distribution, agricultural product processing and agricultural labor productivity;
the agricultural map general map is used for displaying the agricultural region type, the comprehensive agricultural planning and the agricultural development planning according to the agricultural natural condition and resource map, the agricultural production distribution and the horizontal map.
2. The visual presentation system of a map overview of Chinese agriculture in accordance with claim 1,
the region index code comprises region attributes, classes and indexes; the regional attributes are classified into four grades of country, province, city and county, and corresponding to N, P, ci and Cy codes;
the statistical item corresponds to various statistical units, and the region corresponds to specific provinces, cities and counties.
3. The visual presentation system of a general map of chinese agriculture according to claim 1, wherein the data processing specification is to design specific indexes, namely, area name, crop name, seeding area, total yield, and unit yield, for national agricultural data according to a database architecture of "chinese agricultural annual survey";
specific indexes are designed for agricultural data of province, city and district according to the database structures of all places.
4. The visual presentation system of a map overview of chinese agriculture according to claim 1, wherein the data collection principle is to extract agricultural data from agricultural production materials, practitioners, yields, trade levels at all levels of provinces, cities and regions throughout the country; the index includes a region name, a crop name, a sowing area, a total yield, and a unit yield.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6401041B1 (en) * | 2000-05-11 | 2002-06-04 | Clayton Petersen | Automated graphical representation of agricutural information |
| CN101635041A (en) * | 2009-04-01 | 2010-01-27 | 河北农业大学 | Evaluation method for intensivism use potential of land |
| CN102591960A (en) * | 2011-12-30 | 2012-07-18 | 中国农业科学院农业信息研究所 | Agricultural economy electronic map data service interface method |
| CN202650064U (en) * | 2011-12-21 | 2013-01-02 | 中国农业科学院农业信息研究所 | Agricultural product market monitoring and early warning system |
| CN104021211A (en) * | 2014-06-19 | 2014-09-03 | 中国农业科学院农业资源与农业区划研究所 | Method for generating notes of soil spatial data graph |
| CN107180076A (en) * | 2017-04-18 | 2017-09-19 | 中国检验检疫科学研究院 | Residues of pesticides based on high resolution mass spectrum+internet+geography information are traced to the source and early warning video method online |
| KR20180086022A (en) * | 2017-01-20 | 2018-07-30 | 한국전자통신연구원 | Method for managing information on agricultural and stockbreeding products |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080306984A1 (en) * | 2007-06-08 | 2008-12-11 | Friedlander Robert R | System and method for semantic normalization of source for metadata integration with etl processing layer of complex data across multiple data sources particularly for clinical research and applicable to other domains |
| US9299173B2 (en) * | 2011-06-07 | 2016-03-29 | International Business Machines Corporation | Automatic selection of different visualizations for the organization of multivariate data |
| US10251347B2 (en) * | 2016-01-07 | 2019-04-09 | The Climate Corporation | Generating digital models of crop yield based on crop planting dates and relative maturity values |
-
2018
- 2018-09-30 CN CN201811165243.5A patent/CN109522358B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6401041B1 (en) * | 2000-05-11 | 2002-06-04 | Clayton Petersen | Automated graphical representation of agricutural information |
| CN101635041A (en) * | 2009-04-01 | 2010-01-27 | 河北农业大学 | Evaluation method for intensivism use potential of land |
| CN202650064U (en) * | 2011-12-21 | 2013-01-02 | 中国农业科学院农业信息研究所 | Agricultural product market monitoring and early warning system |
| CN102591960A (en) * | 2011-12-30 | 2012-07-18 | 中国农业科学院农业信息研究所 | Agricultural economy electronic map data service interface method |
| CN104021211A (en) * | 2014-06-19 | 2014-09-03 | 中国农业科学院农业资源与农业区划研究所 | Method for generating notes of soil spatial data graph |
| KR20180086022A (en) * | 2017-01-20 | 2018-07-30 | 한국전자통신연구원 | Method for managing information on agricultural and stockbreeding products |
| CN107180076A (en) * | 2017-04-18 | 2017-09-19 | 中国检验检疫科学研究院 | Residues of pesticides based on high resolution mass spectrum+internet+geography information are traced to the source and early warning video method online |
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