CN-122023054-A - Protective farming area visualization method and system based on multi-source data fusion

CN122023054ACN 122023054 ACN122023054 ACN 122023054ACN-122023054-A

Abstract

The invention discloses a protective farming area visualization method and a system based on multi-source data fusion, and relates to the technical field of intelligent agriculture; and constructing a multisource data annual time sequence by taking the agricultural production annual as a time reference, and extracting multisource data change directions to form a direction sequence. And constructing a cultivation response direction consistency index RYZ by algebraic synthesis and ratio analysis of the direction sequence, and calculating a consistency stability index GWD u and a consistency leading characteristic index YZT in a time window. And classifying the regions of the space units according to the consistency stability evaluation and time dominant state evaluation results, and mapping the space units into a geographic space coordinate system for visual rendering and time interactive display. The method characterizes the directional consistency of the multisource cultivation response structure under the unified space-time reference.

Inventors

ZHAO FENGYAN
GONG XINHAO
SUN ZHANXIANG
FENG LIANGSHAN
BAI WEI
ZHANG YONGYONG
ZHANG ZHE
Huang Xuhang
FAN CHU
SUN SIYU

Assignees

辽宁省农业科学院

Dates

Publication Date: 20260512
Application Date: 20260129

Claims (10)

1. A protective farming area visualization method based on multi-source data fusion is characterized by comprising the following steps: S1, acquiring multi-source historical data in a cultivation area from an agricultural information system and a statistical database according to an API (application program interface), aligning the data to construct a multi-source historical data sequence, and performing coordinate conversion and then performing equal-scale division into a plurality of space units; S2, carrying out annual scale arrangement on the multi-source historical data sequence to construct a data annual time sequence, and constructing a direction sequence by adopting a time sequence construction technology and a direction extraction technology; s3, algebraic synthesis is carried out on the direction sequence, the total quantity of the direction combination amplitude and the direction participation is calculated, the cultivation response direction consistency index RYZ is obtained after ratio processing is carried out, aggregation quantization is carried out on cultivation areas, and consistency stability assessment is carried out according to the quantization result; s4, when consistency stability assessment is that the cultivation response structure is concentrated, carrying out distribution characteristic analysis on cultivation areas concentrated by the cultivation response structure according to a cultivation response direction consistency index RYZ, and carrying out time leading state assessment according to analysis results; and S5, classifying the space units in regions according to the consistency stability evaluation and the time leading state evaluation result, and rendering the space units according to the region type identifiers.
2. The method for visualizing a protective farming area based on multi-source data fusion according to claim 1, wherein said S1 comprises S11; S11, acquiring multi-source historical data in a cultivation area from an agricultural information system and a statistical database according to an API data interface, and carrying out data alignment on the multi-source historical data; the multi-source historical data comprises climate data, soil state data and crop yield statistical data; The data alignment is used for respectively carrying out annual scale reorganization on the climate data according to the acquisition time stamp in a time resampling processing mode, carrying out annual summarization processing on the monitoring value obtained according to the fixed period in the soil state data, and carrying out time node verification on the annual statistical value in the crop yield statistical data; And then, uniformly corresponding the multi-source historical data after data alignment to the same annual time node according to a statistical alignment processing technology, and constructing a multi-source historical data sequence with a uniform annual time reference.
3. The method for visualizing a protective farming area based on multi-source data fusion according to claim 2, wherein said S1 further comprises S12 and S13; S12, analyzing and converting geographic position information contained in the multi-source historical data sequence by adopting a space coordinate conversion processing mode, uniformly converting original longitude and latitude coordinates, projection coordinates and region coding coordinates of different data sources into a preset same space reference coordinate system, and equally dividing a cultivation area according to preset space resolution by adopting a regularized space partition processing mode according to the coordinate axis direction of the space reference coordinate system after the space reference system is unified, so as to generate a plurality of space units; S13, spatial inclusion relation judgment is carried out on the spatial coordinates of the multi-source historical data sequence records and the boundary range of the spatial units by adopting a spatial superposition analysis processing mode and based on a spatial reference coordinate system, and the spatial units to which each multi-source historical data sequence record belongs are determined.
4. A method for visualizing a protective farming area based on multi-source data fusion according to claim 3, wherein S2 comprises S21, S22 and S23; S21, merging and marking multi-source historical data sequences in a space unit by taking the agricultural production year as a unified time reference to form a unified year time index, and respectively carrying out year scale arrangement on the multi-source historical data sequences in the space unit under the year time index to construct a data year time sequence; The data annual time sequence comprises a climate index annual time sequence C u (t), a soil state annual time sequence S u (t) and a crop yield annual time sequence Y u (t); S22, selecting two adjacent continuous annual scales from the data annual time sequence in the space unit as a change analysis interval by taking the annual as the minimum time analysis unit, and constructing an annual change vector in the change analysis interval aiming at the data annual time sequence Wherein X represents a data annual time series index; the annual change vector The method comprises a climate index annual change vector V C , a soil comprehensive state annual change vector V S and a crop yield annual change vector V Y ; s23, extracting each annual change vector according to a direction extraction technology The direction sequence of the space unit under the annual scale t is formed by the direction change vectors on the annual scale; The direction sequence comprises a climate index annual change direction vector delta C u (t), a soil comprehensive state annual change direction vector delta S u (t) and a crop yield annual change direction vector delta Y u (t); ΔC u (t) represents the climate index variation vector of the space unit u at the annual scale t relative to the annual scale t-1; Δs u (t) represents the direction of the soil integrated state change of the space unit u at the annual scale t with respect to the annual scale t-1; DeltaY u (t) represents the crop yield variation vector of the space unit u at the annual scale t relative to the annual scale t-1.
5. The method for visualizing a protective farming area based on multi-source data fusion according to claim 4, wherein said S3 comprises S31; S31, algebraic synthesis is carried out on a direction sequence in the same annual scale t, a direction combination amplitude |DeltaC u (t)+ΔS u (t)+ΔY u (t) | is calculated, the direction synergy degree of multi-source data in the annual scale is reflected, and ratio processing is carried out on the direction participation total |DeltaC u (t)|+|ΔS u (t)|+|ΔY u (t) | of each direction vector in the annual scale t, so that a cultivation response direction consistency index RYZ is obtained and used for quantifying the synergy degree of a space unit in the change direction of multi-source cultivation related data in the annual scale t, wherein the method comprises the following steps; ; Wherein RYZ u (t) represents the cultivation response direction consistency index of the space unit u at the annual scale t.
6. The method for visualizing a protective farming area based on multi-source data fusion according to claim 5, wherein said S3 further comprises S32 and S33; S32, carrying out aggregation quantification on the consistency level and the change intensity of the cultivated area according to the consistency index RYZ of the cultivated response direction, and constructing a consistency stability index GWD u , which represents the stability degree of the consistency of the multi-source cultivated response direction in the time dimension and reflects the stability of the multi-source cultivated response direction in the time dimension, wherein the method is as follows; ; wherein GWD u represents the consistency stability index within the spatial unit u, T represents the time window length; s33, extracting a historical sample when the multi-source data change direction structure is concentrated, calculating a consistency stability index GWD u under the same time window length T, carrying out distribution statistics, extracting a central value, presetting the central value as a consistency stability reference threshold JS, and carrying out consistency stability assessment with the consistency stability index GWD u acquired in real time, wherein the specific assessment is as follows; When the consistency stability index GWD u is smaller than or equal to a consistency stability reference threshold JS, representing that the space unit cultivation response structure is in discrete distribution, marking the current structure unit as the cultivation response structure with discrete direction; and when the consistency stability index GWD u is greater than the consistency stability reference threshold JS, the current space unit is marked as the cultivation response structure direction concentration, and the distribution characteristic analysis is triggered.
7. The method for visualizing a protective farming area based on multi-source data fusion according to claim 6, wherein said S4 comprises S41; S41, when consistency stability assessment is that space unit cultivation response structures are concentrated, carrying out distribution characteristic analysis on cultivation areas in the space unit cultivation response structures according to cultivation response direction consistency indexes RYZ, and constructing consistency leading characteristic indexes YZT, wherein the consistency leading characteristic indexes YZT represent the overall distribution scale of the consistency structures in the time dimension and are specifically as follows; ; wherein YZT u represents the consistency leading characteristic index within the space unit u, max (R u (1),…,R u (T)) and min (R u (1),…,R u (T)) represent the maximum and minimum farming response direction consistency indices RYZ of the space unit u within the time window T, respectively.
8. The method for visualizing a protective farming area based on multi-source data fusion according to claim 7, wherein said S4 further comprises S42; S42, extracting a historical sample without time dominance, calculating a consistency dominance characteristic index YZT under the same time window length T, carrying out distribution statistics, extracting a central value, presetting the central value as a consistency dominance characteristic threshold YA, and carrying out time dominance state evaluation with the consistency dominance characteristic index YZT acquired in real time, wherein the specific evaluation is as follows; when the consistency leading characteristic index YZT is less than or equal to the consistency leading characteristic threshold YA, the consistency distribution is uniform, the time leading property does not exist, the current space unit is marked as a continuous consistency response unit to be incorporated into a stable structure type division set, and the continuous consistency response unit and the same type unit are subjected to connected domain aggregation according to adjacent rules to form a continuous consistency block; When the consistency dominant feature index YZT > the consistency dominant feature threshold YA, the consistency distribution is concentrated, the time phase dominance exists, the current space unit is marked as a dominant response unit at the moment, and stripped from the continuous consistency aggregation queue, and the year dominance of the current space unit is marked.
9. The method for visualizing a protective farming area based on multi-source data fusion according to claim 1, wherein said S5 comprises S51 and S52; S51, according to consistency stability evaluation and time leading state evaluation results, carrying out zone classification on the space units by adopting zone coding and space classification technology, enabling each space unit cultivation response structure to generate a unique zone type identifier, and binding the zone type identifier with geographical boundary information of the space units to form a cultivation zone data set; the zone category identification comprises a direction discrete type, a continuous consistent type and a stage leading type; s52, mapping the cultivation zone data set to a geographic space coordinate system by adopting a geographic information visualization and time interaction display technology, loading a zone result into a space layer under the geographic space coordinate system, rendering space units in the space layer according to zone category identification, and expressing cultivation response characteristics of different zone areas in a color mapping mode; The direction discrete space units are rendered red, the continuous consistent space units are rendered green, and the phase dominant space units are rendered yellow.
10. A protective farming area visualization system based on multi-source data fusion, comprising the protective farming area visualization method based on multi-source data fusion as set forth in any one of claims 1-9, characterized by comprising a space unification module, a data processing module, a consistency analysis module, a feature dominance analysis module and a visual interaction module; the space unification module is used for acquiring multi-source historical data in a cultivation area from an agricultural information system and a statistical database according to an API data interface, carrying out data alignment to construct a multi-source historical data sequence, and then carrying out coordinate conversion and then equally-scale division into a plurality of space units; The data processing module is used for carrying out annual scale arrangement on the multi-source historical data sequence to construct a data annual time sequence, and constructing a direction sequence by adopting a time sequence construction technology and a direction extraction technology; The consistency analysis module is used for algebraically synthesizing the direction sequence, calculating the total quantity of the combined amplitude and the direction participation, carrying out ratio processing to obtain a cultivation response direction consistency index RYZ, carrying out aggregation quantization on a cultivation area, and executing consistency stability assessment according to a quantization result; The characteristic leading analysis module is used for carrying out distribution characteristic analysis on the cultivation area in the cultivation response structure set according to the cultivation response direction consistency index RYZ when consistency stability assessment is that the cultivation response structure set, and carrying out time leading state assessment according to analysis results; The visual interaction module is used for classifying the regions of the space unit according to the consistency stability evaluation and the time leading state evaluation result and rendering the space unit according to the region category identification.

Description

Protective farming area visualization method and system based on multi-source data fusion Technical Field The invention relates to the technical field of intelligent agriculture, in particular to a protective farming area visualization method and system based on multi-source data fusion. Background Protective farming is a central agricultural production method for reducing soil disturbance, maintaining surface coverage and optimizing farmland ecological processes, and aims to singly pursue yield changes, but focuses on long-term synergistic relations among climate conditions, soil states and crop production responses. Along with the advancement of the agricultural informatization level, the analysis object of the protective cultivation is gradually changed from a single statistical index to the joint investigation of the multi-source information such as the climate data, the soil state data, the crop yield data and the like, and the protective cultivation analysis of the multi-source data fusion is formed. On the basis, the analysis result is presented only in a form of a table or a numerical value, so that the spatial difference structure of the cultivation response is difficult to intuitively reflect, and the multi-source data fusion result is mapped to a spatial unit and is subjected to zone expression, so that a technical path for presenting the protective cultivation response structure in a zone visual mode is gradually evolved. The existing protective farming area visualization means are mostly based on annual indexes or static evaluation results, and are usually focused on the spatial distribution display of certain data characteristics, but lack of systematic description of the direction relationship of the change of multi-source data on a time scale. The method often ignores the directional consistency or the discreteness between the climate change, the soil evolution and the yield response in the annual scale in the dividing process, so that the dividing result reflects the instantaneous state more, and the stability characteristic of the cultivation response structure in the time dimension is difficult to reveal. Meanwhile, part of the existing methods simply superimpose time information into animation or multi-graph comparison, and the reasons of the regional boundary change between different years are difficult to trace due to the lack of clear generation logic of the regional categories, so that the interpretation of the regional results is limited. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a protective farming area visualization method and a system based on multi-source data fusion, which solve the problems in the background art. In order to achieve the purpose, the invention is realized by the following technical scheme that the protective farming area visualization method based on multi-source data fusion comprises the following steps: S1, acquiring multi-source historical data in a cultivation area from an agricultural information system and a statistical database according to an API (application program interface), aligning the data to construct a multi-source historical data sequence, and performing coordinate conversion and then performing equal-scale division into a plurality of space units; S2, carrying out annual scale arrangement on the multi-source historical data sequence to construct a data annual time sequence, and constructing a direction sequence by adopting a time sequence construction technology and a direction extraction technology; s3, algebraic synthesis is carried out on the direction sequence, the total quantity of the direction combination amplitude and the direction participation is calculated, the cultivation response direction consistency index RYZ is obtained after ratio processing is carried out, aggregation quantization is carried out on cultivation areas, and consistency stability assessment is carried out according to the quantization result; s4, when consistency stability assessment is that the cultivation response structure is concentrated, carrying out distribution characteristic analysis on cultivation areas concentrated by the cultivation response structure according to a cultivation response direction consistency index RYZ, and carrying out time leading state assessment according to analysis results; and S5, classifying the space units in regions according to the consistency stability evaluation and the time leading state evaluation result, and rendering the space units according to the region type identifiers. Preferably, the S1 includes S11; S11, acquiring multi-source historical data in a cultivation area from an agricultural information system and a statistical database according to an API data interface, and carrying out data alignment on the multi-source historical data; the multi-source historical data comprises climate data, soil state data and crop yield statistical data; The data alignment is used for