Scientia Agricultura Sinica ›› 2022, Vol. 55 ›› Issue (21): 4158-4174.doi: 10.3864/j.issn.0578-1752.2022.21.006

• TILLAGE ＆ CULTIVATION·PHYSIOLOGY ＆ BIOCHEMISTRY·AGRICULTURE INFORMATION TECHNOLOGY • Previous Articles     Next Articles

Development and Application of Rapid Investigation and Analysis Platform for Agricultural and Rural Information Based on Fission Model

ZHANG Jie1(),WANG Chuan1,DONG XiaoXia1,ZHU WenQi1,YUE HuiLi1,2,LIU ShengPing1,2(),ZHOU QingBo1,2()   

  1. 1Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081
    2Key Laboratory of Agricultural Blockchain Application, Ministry of Agriculture and Rural Affairs, Beijing 100081
  • Received:2022-01-03 Accepted:2022-04-01 Online:2022-11-01 Published:2022-11-09
  • Contact: ShengPing LIU,QingBo ZHOU E-mail:zhangjie10@caas.cn;liushengping@caas.cn;zhouqingbo@caas.cn

RichHTML

38

PDF

108

Abstract:

【Objective】In order to effectively solve the problems existing in the process of collecting basic information of traditional agriculture and rural areas, such as long collection period, small sample size, inaccurate delivery, low data quality and difficulty in auditing, and to achieve rapid acquisition and visual analysis of massive data under the background of emergencies, a rapid survey platform for agricultural and rural information was designed and developed, which integrated accurate questionnaire delivery, rapid data collection and automatic analysis of results, so as to provide a convenient tool for agricultural management departments at all levels to make efficient decisions. 【Method】 (1) Overall design: The platform was designed based on the 5-layer architecture technology and the concept of “Mid-Plane”, and the new media, GIS and social network analysis (SNA) were used to build a questionnaire accurate delivery model, multi-level fission model, rapid review, and automatic analysis strategies. In order to deeply mine and present the value of platform data in multiple dimensions, this research used methods such as point centrality, betweenness centrality and spatial clustering to analyze the fission relationship, diffusion capacity, and community characteristics of the questionnaire dissemination network. (2) System realization: two subsystems were developed by adopting the front-end and back-end separation mode, namely, the rapid investigation collection system for survey users, and the rapid investigation management and analysis system for the information investigators. (3) Application: VMware vSphere integrated container and cluster server were used to deploy system and Nginx load balancing to improve system response speed. 【Result】 After six months of continuous operation, the system had strong universality. It has provided 12 large-scale agricultural and rural information survey services in 8 fields and collected a total of 76 953 questionnaires; In the agricultural and rural economic information survey cases 12 243 questionnaires have been collected within 5 hours, with a fission ratio of 88.23%, of which 20.24% formed diffusion and fission. The community effect was obvious, with high degree of fission, fast speed and wide range. The platform had strong comprehensive functions, covering the functions of questionnaire design, placement control, fission sharing, intelligent judgment of papers, reward distribution, statistical analysis, user classification, etc., which could provide one-stop service for rapid investigation of agricultural and rural information.【Conclusion】The rapid investigation and analysis platform of agricultural and rural information based on fission mode had the characteristics of fast data collection, true information acquisition, more sample collection, and strong functionality. It realized the function of obtaining basic information urgently and visualizing investigation results quickly under the background of emergencies, and formed a poll mode based on huge data and different from official investigation. It could provide strong technical support for efficient decision-making of agricultural management departments, and had reference significance for the information investigation of other industries.

Key words: agricultural and rural information, quick investigation, fission mode, social network analysis, precise placement model, system design

Fig. 1

The overall structure diagram of the platform"

Fig. 2

The business process diagram of the platform"

Fig. 3

The fission flow chart"

Fig. 4

The diagram of accurate delivery model"

Fig. 5

Outdegree distribution of network points"

Table 1

The outdegree analysis of investigate network"

点出度
OD		 占比
P(%)		 点出度
OD		 占比
P(%)		 点出度
OD		 占比
P(%)		 点出度
OD		 占比
P(%)		 点出度
OD		 占比
P(%)		 点出度
OD		 占比
P(%)		 点出度
OD		 占比
P(%)
0 79.76 10 0.13 19 0.04 28 0.02 62 0.02 63 0.01 167 0.01
1 11.61 12 0.12 22 0.04 34 0.02 111 0.02 66 0.01 172 0.01
2 2.99 15 0.09 35 0.04 37 0.02 24 0.01 74 0.01 175 0.01
3 1.45 14 0.06 13 0.03 40 0.02 31 0.01 84 0.01 182 0.01
4 1 17 0.06 21 0.03 41 0.02 32 0.01 97 0.01 193 0.01
5 0.60 16 0.05 23 0.03 42 0.02 43 0.01 106 0.01 209 0.01
6 0.35 18 0.05 26 0.03 45 0.02 49 0.01 107 0.01 280 0.01
8 0.19 20 0.04 27 0.03 46 0.02 50 0.01 108 0.01
7 0.18 25 0.04 33 0.03 51 0.02 55 0.01 121 0.01
9 0.18 29 0.04 36 0.03 53 0.02 58 0.01 142 0.01
11 0.15 39 0.04 44 0.03 59 0.02 61 0.01 145 0.01

Fig. 6

The ratio of betweenness centrality"

Fig. 7

The diagram of network modular distribution"

Fig. 8

The main function interface of the platform"

Fig. 9

The thematic analysis chart of autumn harvest investigation of silage corn"

Table 2

Time-consuming comparison of common methods of information survey"

阶段划分
Stage division		 传统走访式
Traditional visiting survey		 逐层上报式
Step by step escalation survey		 线上随机式
Online random survey		 裂变式
Fission survey
找到受访者
Find the interviewees		 11人各分担一省，到目的地半天，找到受访者1天
11 people each went to a province, arrived at the destination for half a day, and found the interviewees for 1 day		 群聊方式，半小时传递给11省，再2小时由省传递给访问者
Through group chat, it would be delivered to 11 provinces in half an hour, and then delivered to interviewees by the provincial administrator in 2 hours		 多人反复转发，常规2人×3天
Repeatedly forwarded by multiple people, usually 2 people×3 days		 自行传播，常规2天
Self-transmitted, routinely 2 days
问卷填写（每份问卷）
Fill out the questionnaire
(per questionnaire)		 6分钟填写，3分钟沟通，基本不可并行
6 minutes to fill out, 3 minutes to communicate, basically not parallel		 3分钟填写，可并行，但及时性很低
3 minutes to fill out, can be parallelized, but the timeliness is very low		 3分钟填写，可并行
3 minutes to fill out, can
be parallelized		 3分钟填写，可并行
3 minutes to fill out, can be parallelized
问卷审阅
Audit questionnaire		 2分钟/份
2 minutes/questionnaire		 2分钟/份，国家、省、市各审核一次，
人多时间不可控，需反复催促
2 minutes/questionnaire, the national, provincial and municipal managers would review it once, the time was uncontrollable due to the large number of people, and it needed to be repeatedly urged		 2分钟/份
2 minutes/questionnaire		 提前设置阈值，自动审核，10秒/份
Set thresholds in advance, automatic review, 10 seconds/ questionnaire
预估总耗时
Estimated total time		 11人×2.5天=27.5人天
11 people×2.5 days = 27.5 people days		 11人×1天=11人天
11 people×1 day = 11 people days		 2人×4天=8人天
2 people×4 days = 8 people days		 1人×2天=2人天
1 person×2 days = 2 people days

Table 3

Function comparison of common methods of information survey"

功能描述
Feature description		 传统走访式Traditional walk-in style 逐层上报式
Cascade reporting style		 线上随机式
Online random		 裂变式
Fissionable
电子问卷E-questionnaire √ √ √
问卷数量控制Control of the number of questionnaires √ √ √
投放地控制Placement control √ √
裂变式扩散Fissionable diffusion √
数据导出Data export √ √ √
问卷审阅Questionnaire review √ √ √ √
智能审核Smart audit √
酬劳发放Remuneration √ √
推广效果分析Promotion effect analysis √
答题统计Answer statistics √ √
问卷空间分布Spatial distribution of questionnaires √
专题分析Thematic analysis √ √
用户画像User profiling √
用户分级User classification √
用户沉淀User sedimentation √

Table 4

Platform historical survey results"

问卷名称
Questionnaire name		 指标数量
Number of indicators		 发布时间
Release
date
(Y-M-D)		 采集时长
Duration of collection		 采集数量
Number of collections		有效问卷数量
Number of valid questionnaires		问卷有效率
Questionnaire efficiency(%)		有效覆盖省数
Number of provinces effectively covered
7月农业农村经济信息调查
Agricultural and rural economic information survey in july		 21 2021-7-8 5 d 541 506 93.53 29
农业农村信息速调系统水稻调查（7月）
Agricultural and rural information rapid response system rice survey (July)		 16 2021-7-15 6 d 17794 1554 8.73 17
居民乳制品消费调查
Residential dairy consumption survey		 23 2021-9-3 5 d 7101 1056 14.87 12
农业农村信息速调系统水稻调查（9月）
Agricultural and rural information rapid response system rice survey (September)		 30 2021-9-22 8 d 3396 967 28.47 12
粮食作物秋收秋播调查
Autumn harvest and sowing survey for food crops		 20 2021-10-18 5 d 1721 452 26.26 12
2021年青贮秋收调查
Silage autumn harvest survey in 2021		 19 2021-10-23 3 d 3905 533 13.65 9
京津冀地区婴幼儿乳粉品牌选择调研
Research on brand choice of infant milk powder in Beijing, Tianjin and Hebei		 31 2021-11-9 6 d 2698 327 12.12 8
种植业产销经营中电子商务应用情况调查
Survey on the use of e-commerce in plantation production and marketing operations		 24 2021-11-29 2 d 7809 1054 13.50 31
区域蜂产业发展调查
Regional bee industry development survey		 30 2021-12-9 9 h 4001 1489 37.22 17
农业农村信息速调系统小麦调查
Survey of wheat for the agricultural rural information rapid response system		 13 2021-12-7 2.5 d 6675 721 10.80 31
水果线上线下购买习惯和价格感知调研
Research on online and offline fruit buying habits and price perceptions		 19 2021-12-17 2 h 9096 2972 32.77 31
农业农村经济信息调查
Agricultural and rural economic information survey		 29 2021-12-22 5 h 12243 2228 18.20 31
[1] 许世卫, 王东杰, 李哲敏. 大数据推动农业现代化应用研究. 中国农业科学, 2015, 48(17): 3429-3438.
XU S W, WANG D J, LI Z M. Application research on big data promote agricultural modernization. Scientia Agricultura Sinica, 2015, 48(17): 3429-3438. (in Chinese)
[2] 央视网. 习近平带政治局集体学习领导干部要学懂用好大数据. (2017-12-10)[2021-02-22]. http://news.cctv.com/2017/12/10/ARTI3H NR1LMiMiNZKmr1NMD1171210.shtml.
CNTV. Chinese President Xi Jinping led the Political Bureau to learn collectively that leading cadres should learn to understand and make good use of big data.(2017-12-10)[2021-02-22]. http://news.cctv.com/2017/12/10/ARTI3H NR1LMiMiNZKmr1NMD1171210.shtml. (in Chinese)
[3] 赵春江. 智慧农业发展现状及战略目标研究. 智慧农业, 2019, 1(1): 1-7.
ZHAO C J. State-of-the-art and recommended developmental strategic objectives of smart agriculture. Smart Agriculture, 2019, 1(1): 1-7. (in Chinese)
[4] GUPTA P, GOYAL K, KANTA P, GHOSH A, SINGH M P. Novel 2019-coronavirus on New Year's Eve. Indian Journal of Medical Microbiology, 2019, 37(4): 459-477.
[5] 张莉. 中国农业科学数据共享发展研究[D]. 北京: 中国农业科学院, 2006.
ZHANG L. Research on the development of agricultural scientific data sharing in China[D]. Beijing: Chinese Academy of Agricultural Sciences, 2006. (in Chinese)
[6] 陈迪, 吴文斌, 周清波, 胡琼, 项铭涛, 陆苗, 余强毅. 亚洲耕地利用格局十年变化特征研究. 中国农业科学, 2018, 51(6): 1106-1120.
CHEN D, WU W B, ZHOU Q B, HU Q, XIANG M T, LU M, YU Q Y. Changes of cultivated land utilization pattern in Asia from 2000 to 2010. Scientia Agricultura Sinica, 2018, 51(6): 1106-1120. (in Chinese)
[7] 郭新, 王乃江, 张玲玲, 郭永强, 褚晓升, 冯浩. 基于Google Earth Engine平台的关中冬小麦面积时空变化监测. 干旱地区农业研究, 2020, 38(3): 275-280.
GUO X, WANG N J, ZHANG L L, GUO Y Q, CHU X S, FENG H. Monitoring of spatial-temporal change of winter wheat area in Guanzhong region based on Google Earth Engine. Agricultural Research in the Arid Areas, 2020, 38(3): 275-280. (in Chinese)
[8] ATTILA N, JÁNOS F, JÁNOS T. Wheat and maize yield forecasting for the Tisza river catchment using MODIS NDVI time series and reported crop statistics. Computers and Electronics in Agriculture, 2018, 151: 41-49.
[9] CHEN D, LU M, ZHOU Q B, XIAO J F, RU Y T, WEI Y B, WU W B. Comparison of two synergy approaches for hybrid cropland mapping. Remote Sensing, 2019, 11(3): 213.
[10] LAMBIN E F, GIBBS H K, FERREIRA L, GRAU R, MAYAUX P, MEYFROIDT P, MORTON D C, RUDEL T K, GASPARRI I, MUNGER J. Estimating the world's potentially available cropland using a bottom-up approach. Global Environmental Change, 2013, 23(5): 892-901.
[11] 苏宇, 陈从喜, 王楠, 吴琪, 齐书花, 高宇, 朱先云. 自然资源综合统计成果体系及统计数据共享研究. 国土资源情报, 2021(1): 27-32.
SU Y, CHEN C X, WANG N, WU Q, QI S H, GAO Y, ZHU X Y. Research on comprehensive statistical achievement system and statistical data sharing of natural resources. Land and Resources Information, 2021(1): 27-32. (in Chinese)
[12] 孟召娣, 朱福守, 蒋和平. 国家现代农业示范区建设水平分析及提升对策研究. 农业现代化研究, 2018, 39(2): 185-193.
MENG Z D, ZHU F S, JIANG H P. Development assessment of the national modern agricultural demonstration zone and some promotion suggestions. Research of Agricultural Modernization, 2018, 39(2): 185-193. (in Chinese)
[13] 胡静, 金晓斌, 陈原, 杨剑, 周寅康. 土地整治重大工程项目建设监测管理系统的设计与实现. 中国土地科学, 2012, 26(7): 44-49, 97.
HU J, JIN X B, CHEN Y, YANG J, ZHOU Y K. Design and implementation of monitoring and management system for the key land consolidation and readjustment projects. China Land Science, 2012, 26(7): 44-49,97. (in Chinese)
[14] 李贝贝. 建立与国际接轨的新型农业统计体制与运行机制. 农业经济, 2014(8): 25-26.
LI B B. Establish a new agricultural statistical system and operation mechanism in line with international standards. Agricultural Economy, 2014(8): 25-26. (in Chinese)
[15] 王羡欠. 基于Java EE平台的网上调查问卷系统的设计与实现. 江西科学, 2016, 34(1): 129-132.
WANG X Q. Design and implementation of online questionnaire system based on Java EE platform. Jiangxi Science, 2016, 34(1): 129-132. (in Chinese)
[16] 许淳, 王文发, 李竹林. 一种通用调查问卷系统的设计与实现. 信息技术, 2016(6): 101-102, 106.
XU C, WANG W F, LI Z L. Design and implementation of general survey system. Information Technology, 2016(6): 101-102, 106. (in Chinese)
[17] 骆慧勇. 通用调查问卷系统设计与实现. 金融科技时代, 2018(1): 50-53.
LUO H Y. Design and implementation of general questionnaire system. FinTech Time, 2018(1): 50-53. (in Chinese)
[18] 卢锦运, 何怀金, 刘明. 支持逻辑跳转及填答约束的网络问卷调查系统设计与实现. 软件导刊, 2015, 14(1): 107-110.
LU J Y, HE H J, LIU M. Design and implementation of network questionnaire survey system supporting logic jump and reply constraints. Software Guide, 2015, 14(1): 107-110. (in Chinese)
[19] 夏兴生, 李忠义, 朱秀芳, 潘耀忠, 赵希振, 周巍. 基于遥感抽样的农作物种植面积测量野外调查系统设计与实践. 农业现代化研究, 2017, 38(6): 1075-1085.
XIA X S, LI Z Y, ZHU X F, PAN Y Z, ZHAO X Z, ZHOU W. Design and practice of field survey system for crop acreage measurement based on remote sensing sampling. Research of Agricultural Modernization, 2017, 38(6): 1075-1085. (in Chinese)
[20] 邓煜, 王建强, 张东东. 基于安卓系统的手持设备结合OZIExplorer软件在野外地质调查中的应用. 地层学杂志, 2016, 40(2): 219-224.
DENG Y, WANG J Q, ZHANG D D. The application of android- based handled device with OZIExplorer in field geologcal investigation. Journal of Stratigraphy, 2016, 40(2): 219-224. (in Chinese)
[21] 戚元华, 王慧, 张小波, 金艳, 格小光, 景志贤, 王凌, 赵宇平, 郭兰萍, 黄璐琦. 基于智能移动端的中药资源普查数据采集系统设计与实现. 中国中药杂志, 2017, 42(22): 4295-4298.
QI Y H, WANG H, ZHANG X B, JIN Y, GE X G, JING Z X, WANG L, ZHAO Y P, GUO L P, HUANG L Q. Design and implementation of mobile terminal data acquisition for Chinese materia medica resources survey. China Journal of Chinese Materia Medica, 2017, 42(22): 4295-4298. (in Chinese)
[22] 王英强, 陈绥阳, 王振铎. 大数据环境下农业统计数据采集平台的设计. 电子设计工程, 2018, 26(24): 111-115.
WANG Y Q, CHEN S Y, WANG Z D. Design of agricultural statistical data acquisition platform in large data environment. Electronic Design Engineering, 2018, 26(24): 111-115. (in Chinese)
[23] 王川, 董晓霞, 郑建华, 张超, 周清波. 基于移动互联的农业农村信息速调平台(Agri-watch)构建与应用. 农业大数据学报, 2020, 2(2): 104-111.
WANG C, DONG X X, ZHENG J H, ZHANG C, ZHOU Q B. Construction and application of agricultural and rural information quick-obtainning platform (Agri-watch) based on mobile internet. Journal of Agricultural Big Data, 2020, 2(2): 104-111. (in Chinese)
[24] 胡钦太, 林晓凡. 基于新媒体的社会教育传播模式构建研究. 电化教育研究, 2014(5): 5-10.
HU Q T, LIN X F. Research on the construction of social education communication model based on new media. e-Education Research, 2014(5): 5-10. (in Chinese)
[25] 史历峰. “刷屏广告”: 品牌形象建设的新策略. 新闻爱好者, 2020(2): 53-56.
SHI L F. “Screen advertising”: A new strategy for brand image construction. Journalism Lover, 2020(2): 53-56. (in Chinese)
[26] 陈鹏飞. 拼多多的拉新策略研究——基于红包分享的裂变效应. 现代商业, 2020(21): 43-45.
CHEN P F. Research on Pinduoduo’s innovation strategy - Fission effect based on red envelope sharing. Modern Business, 2020(21): 43-45. (in Chinese)
[27] 金韶, 倪宁. “社群经济”的传播特征和商业模式. 现代传播(中国传媒大学学报), 2016, 38(4): 113-117.
JIN S, NI N. Communication characteristics and business model of “community economy”. Modern Communication (Journal of Communication University of China), 2016, 38(4): 113-117. (in Chinese)
[28] 张杰, 刘升平, 岳慧丽, 吕纯阳, 洪葳. 智慧蜂业大数据平台建设与应用. 农业大数据学报, 2021, 3(1): 3-13.
ZHANG J, LIU S P, YUE H L, LÜ C Y, HONG W. Construction and application of big data platform for intelligent apiculture. Journal of Agricultural Big Data, 2021, 3(1): 3-13. (in Chinese)
[29] 仇阿根, 张杨, 罗宁, 赵习枝, 刘佳澄, 何望君. 结合微服务和中台理念的减灾服务系统设计与实现. 武汉大学学报(信息科学版), 2020, 45(8): 1288-1295.
QIU A G, ZHANG Y, LUO N, ZHAO X Z, LIU J C, HE W J. Design and implementation of integrated disaster reduction intelligent service system based on micro-service architecture and middle platform concept. Geomatics and Information Science of Wuhan University, 2020, 45(8): 1288-1295. (in Chinese)
[30] 姚艳, 牛明雷, 孙法军, 姚京婵, 常晓燕. 基于微服务架构的农业转移支付项目管理系统设计与实现. 中国农业科学, 2021, 54(15): 3207-3218.
YAO Y, NIU M L, SUN F J, YAO J C, CHANG X Y. Design and implementation of agricultural transfer payment project management system based on micro-service architecture. Scientia Agricultura Sinica, 2021, 54(15): 3207-3218. (in Chinese)
[31] 秦旋, 李怀全, 莫懿懿. 基于SNA视角的绿色建筑项目风险网络构建与评价研究. 土木工程学报, 2017, 50(2): 119-131.
QIN X, LI H Q, MO Y Y. Study on establishment and evaluation of risk network in green building projects based on SNA. China Civil Engineering Journal, 2017, 50(2): 119-131. (in Chinese)
[32] 邵玉河, 董振平. 图书馆微博的社会网络分析. 图书馆工作与研究, 2015(3): 28-32.
SHAO Y H, DONG Z P. The social network analysis of library micro blog. Library Work and Study, 2015(3): 28-32. (in Chinese)
[33] Scott J, Carrington P J. The SAGE Handbook of Social Network Analysis. America: SAGE, 2011.
[34] 刘华军, 刘传明, 孙亚男. 中国能源消费的空间关联网络结构特征及其效应研究. 中国工业经济, 2015(5): 83-95.
LIU H J, LIU C M, SUN Y N. Spatial correlation network structure of energy consumption and its effect in China. China Industrial Economics, 2015(5): 83-95. (in Chinese)
[35] 赵金楼, 成俊会. 基于SNA的突发事件微博舆情传播网络结构分析——以“4. 20四川雅安地震”为例. 管理评论, 2015, 27(1): 148-157.
ZHAO J L, CHENG J H. Analysis of micro-blog public opinion diffusion based on SNA: An empirical study on April 20 Ya’an earthquake in Sichuan. Management Review, 2015, 27(1): 148-157. (in Chinese)
[36] BLONDEL V D, GUILLAUME J L, LAMBIOTTE R, LEFEBVRE E. Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10): 10008.
[37] 邱晨子. 微博网络舆情热点生长分析模型研究[D]. 大连: 大连海事大学, 2013.
QIU C Z. A Study on analysis model for the net-mediated public sentiment hotspot growth regulation in micro blog[D]. Dalian: Dalian Maritime University, 2013. (in Chinese)
[1] YAO Yan,NIU MingLei,SUN FaJun,YAO JingChan,CHANG XiaoYan. Design and Implementation of Agricultural Transfer Payment Project Management System Based on Micro-Service Architecture [J]. Scientia Agricultura Sinica, 2021, 54(15): 3207-3218.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备09089781号-30
Copyright 2018 © Editorial office of Scientia Agricultura Sinica
Tel: 86-010-82106279    E-mail: zgnykx@mail.caas.net.cn
Supported by Beijing Magtech Co.Ltd