CN110223191A - 基于大数据的农产品市场智能分析平台 - Google Patents
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Abstract
本发明公开了基于大数据的农产品市场智能分析平台,属于智能分析平台技术领域,现提出如下方案,其包括控制终端、显示单元、数据库、网上销售平台、信息统计单元、计算单元和判断单元,控制终端的输出端连接有显示单元的输出端,控制终端与数据库双向连接,数据库的输出端与信息统计单元的输入端连接,所述信息统计单元双向连接有计算单元,所述计算单元的输出端连接有判断单元的输入端,判断单元的输出端连接有供货商和农产品加工厂,所述供货商包括生产商和批发商。本发明有利于科学分析并指导农产品销售,避免农产品滞销导致的农产品损坏和供需失衡导致的价格剧烈波动情况,确保农产品市场的稳定,并对农业生产者的种植决策提供有效指导。
Description
技术领域
本发明涉及智能分析平台技术领域,尤其涉及基于大数据的农产品市场智能分析平台。
背景技术
农产品是农业中生产的物品,如高粱、稻子、花生、玉米、小麦、果蔬以及各个地区土特产等。国家规定初级农产品是指农业活动中获得的植物、动物及其产品,不包括经过加工的各类产品。
现有的农产品市场没有智能分析平台,当出现一种或者多种农产品供大于求时,市场需要很长时间才能调整过来,调整时间长,为此,本发明提出基于大数据的农产品市场智能分析平台,用来快速调整农产品市场,并指导下期生产决策。
发明内容
本发明的目的是为了解决现有技术中存在的缺点,而提出的基于大数据的农产品市场智能分析平台。
为了实现上述目的,本发明采用了如下技术方案:
基于大数据的农产品市场智能分析平台,包括控制终端、显示单元、数据库、网上销售平台、信息统计单元、计算单元和判断单元,所述控制终端的输出端连接有显示单元的输出端,所述控制终端与数据库双向连接,所述数据库与网上销售平台双向连接,所述数据库的输出端与信息统计单元的输入端连接,所述信息统计单元双向连接有计算单元,所述计算单元的输出端连接有判断单元的输入端,所述判断单元的输出端连接有供货商和农产品加工厂,所述供货商包括生产商和批发商。
优选的,所述网上销售平台用于销售农产品,且农产品包括不同种类的农产品,每一个种类的农产品分为不同品种和质量的农产品。
优选的,所述数据库用于储存网上销售平台的价格、商家、销售进度和产品剩余量的数据。
优选的,所述信息统计单元用于统计不同农产品的销售数量、销售进度和剩余数量。
优选的,所述计算单元用于计算每种农产品的月销售均价。
优选的,所述判断单元用于判断市场上的农产品的供货是否充足,根据农产品的均价波动情况和农产品的剩余量,如果均价上涨速度快,剩余量少时,就会通知供货商进行供货,如果价格下降,剩余量多时,就会通知农产品加工厂来回购农产品,从而避免农产品滞销导致农产品损坏。
优选的,根据农产品的均价波动情况和农产品的剩余量,对下期种植决策的参考作用。
与现有技术相比,本发明的有益效果是:通过判断单元的输出端连接有供货商和农产品加工厂,供货商包括生产商和批发商,判断单元用于判断市场上的农产品的供货是否充足,根据农产品的均价上涨速度和农产品的剩余量,如果均价上涨速度快,剩余量少时,就会通知供货商进行供货,如果价格下降,剩余量多时,就会通知农产品加工厂来回购农产品,从而避免农产品滞销导致农产品损坏,从而快速调整农产品市场,避免农产品积压,也避免供不应求导致价格快速上涨的情况,保证了农产品市场的稳定性,当供大于求时,可以通过农产品加工厂进行销售,保证农产品的价值度;
本发明一是对当期农产品,尤其是生鲜农产品的销售进度、供需状况和价格走势进行监测,指导合理销售,包括农户销售和中间商销售;二是通过当期的数据采集和分析,对下期农业种植行为决策提供参考,避免跟风种植和供不应求,减少市场价格波动,稳定收益水平。
附图说明
图1为本发明提出的基于大数据的农产品市场智能分析平台的原理框图。
具体实施方式
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。
参照图1,基于大数据的农产品市场智能分析平台,包括控制终端、显示单元、数据库、网上销售平台、信息统计单元、计算单元和判断单元,所述控制终端的输出端连接有显示单元的输出端,所述控制终端与数据库双向连接,所述数据库与网上销售平台双向连接,所述数据库的输出端与信息统计单元的输入端连接,所述信息统计单元双向连接有计算单元,所述计算单元的输出端连接有判断单元的输入端,所述判断单元的输出端连接有供货商和农产品加工厂,所述供货商包括生产商和批发商。
本实施方式中,所述网上销售平台用于销售农产品,且农产品包括不同种类的农产品,每一个种类的农产品分为不同品种和质量的农产品。
本实施方式中,所述数据库用于储存网上销售平台的价格、商家、销售进度和产品剩余量的数据。
本实施方式中,所述信息统计单元用于统计不同农产品的销售数量、销售进度和剩余数量。
本实施方式中,所述计算单元用于计算每种农产品的月销售均价。
本实施方式中,所述判断单元用于判断市场上的农产品的供货是否充足,根据农产品的均价波动情况和农产品的剩余量,如果均价上涨速度快,剩余量少时,就会通知供货商进行供货,如果价格下降,剩余量多时,就会通知农产品加工厂来回购农产品,从而避免农产品滞销导致农产品损坏。
本发明在使用时,通过判断单元的输出端连接有供货商和农产品加工厂,供货商包括生产商和批发商,判断单元用于判断市场上的农产品的供货是否充足,根据农产品的均价上涨速度和农产品的剩余量,如果均价上涨速度快,剩余量少时,就会通知供货商进行供货,如果价格下降,剩余量多时,就会通知农产品加工厂来回购农产品,从而避免农产品滞销导致农产品损坏,从而快速调整农产品市场,避免农产品积压,也避免供不应求导致价格快速上涨的情况,保证了农产品市场的稳定性,当供大于求时,可以通过农产品加工厂进行销售,保证农产品的价值度;
本发明一是对当期农产品,尤其是生鲜农产品的销售进度、供需状况和价格走势进行监测,指导合理销售,包括农户销售和中间商销售;二是通过当期的数据采集和分析,对下期农业种植行为决策提供参考,避免跟风种植和供不应求,减少市场价格波动,稳定收益水平。
以上所述,仅为本发明较佳的具体实施方式,但本发明的保护范围并不局限于此,任何熟悉本技术领域的技术人员在本发明揭露的技术范围内,根据本发明的技术方案及其发明构思加以等同替换或改变,都应涵盖在本发明的保护范围之内。
Claims (7)
1.基于大数据的农产品市场智能分析平台,其特征在于,包括控制终端、显示单元、数据库、网上销售平台、信息统计单元、计算单元和判断单元,所述控制终端的输出端连接有显示单元的输出端,所述控制终端与数据库双向连接,所述数据库与网上销售平台双向连接,所述数据库的输出端与信息统计单元的输入端连接,所述信息统计单元双向连接有计算单元,所述计算单元的输出端连接有判断单元的输入端,所述判断单元的输出端连接有供货商和农产品加工厂,所述供货商包括生产商和批发商。
2.根据权利要求1所述的基于大数据的农产品市场智能分析平台,其特征在于,所述网上销售平台用于销售农产品,且农产品包括不同种类的农产品,每一个种类的农产品分为不同品种和质量的农产品。
3.根据权利要求1所述的基于大数据的农产品市场智能分析平台,其特征在于,所述数据库用于储存网上销售平台的价格、商家、销售进度和产品剩余量的数据。
4.根据权利要求1所述的基于大数据的农产品市场智能分析平台,其特征在于,所述信息统计单元用于统计不同农产品的销售数量、销售速度和剩余数量。
5.根据权利要求1所述的基于大数据的农产品市场智能分析平台,其特征在于,所述计算单元用于计算每种农产品的月销售均价。
6.根据权利要求1所述的基于大数据的农产品市场智能分析平台,其特征在于,所述判断单元用于判断市场上的农产品的供货是否充足,根据农产品的均价波动情况和农产品的剩余量,如果均价上涨速度快,剩余量少时,就会通知供货商进行供货,如果价格下降,剩余量多时,就会通知农产品加工厂来回购农产品,从而避免农产品滞销导致农产品损坏。
7.根据权利要求6所述的基于大数据的农产品市场智能分析平台,其特征在于,根据农产品的均价波动情况和农产品的剩余量,对下期种植决策的参考作用。
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113393277A (zh) * | 2021-07-01 | 2021-09-14 | 安徽洲弋电子商务有限公司 | 一种基于大数据的农产品市场数据分析系统 |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102542346A (zh) * | 2011-12-21 | 2012-07-04 | 中国农业科学院农业信息研究所 | 农产品市场监测预警系统 |
CN104732435A (zh) * | 2015-04-03 | 2015-06-24 | 中国农业科学院农业信息研究所 | 一种农产品供需撮合系统与方法 |
US20170154305A1 (en) * | 2015-11-27 | 2017-06-01 | Sprinder Technology Inc. | Shared matchmaking management method to enhance supply and marketing efficiency |
CN109858990A (zh) * | 2017-11-30 | 2019-06-07 | 叶祖东 | 蔬菜水果采购系统及其方法 |
-
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Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102542346A (zh) * | 2011-12-21 | 2012-07-04 | 中国农业科学院农业信息研究所 | 农产品市场监测预警系统 |
CN104732435A (zh) * | 2015-04-03 | 2015-06-24 | 中国农业科学院农业信息研究所 | 一种农产品供需撮合系统与方法 |
US20170154305A1 (en) * | 2015-11-27 | 2017-06-01 | Sprinder Technology Inc. | Shared matchmaking management method to enhance supply and marketing efficiency |
CN109858990A (zh) * | 2017-11-30 | 2019-06-07 | 叶祖东 | 蔬菜水果采购系统及其方法 |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113393277A (zh) * | 2021-07-01 | 2021-09-14 | 安徽洲弋电子商务有限公司 | 一种基于大数据的农产品市场数据分析系统 |
CN113393277B (zh) * | 2021-07-01 | 2023-11-28 | 安徽洲弋电子商务有限公司 | 一种基于大数据的农产品市场数据分析系统 |
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