共查询到17条相似文献,搜索用时 171 毫秒
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生猪及其产品从农场到餐桌质量溯源解决方案——以天津市为例 总被引:9,自引:0,他引:9
【目的】满足政府监管猪肉的安全生产和食品消费者的知情权,保障猪肉食品的公共安全。【方法】采用动物的标识技术、PDA智能识读技术、GPRS技术、Intranet和Internet等技术,结合中国《畜禽标识和养殖档案管理办法》,提出基于猪肉安全生产的物质流与信息流的跟踪与溯源流程,设计集约化养猪场及散养模式下养殖、屠宰与销售环节的元数据及相应的关系型数据表,并开发上述3个环节的数据记录系统,以及面向政府监管和消费者查询的公共网络平台。【结果】开发的集约化养殖过程信息系统在记录猪只各种事件数据的基础上,具有对饲料添加剂和兽药使用的业务预警功能,能及时向溯源中央数据库提交出栏猪只的养殖过程事件;开发的PDA数据采集系统,能移动采集散养猪只的养殖事件数据,并通过GPRS远程提交溯源数据;开发的基于web技术的天津猪肉质量溯源平台,具有在线集成来自养殖、屠宰和销售环节的各种标识数据及有关猪肉质量安全数据,并实现标识的转换与数据的关联,最终实现从生产源头向消费终端的跟踪和反方向的可追溯。【结论】本研究开发的或集成的各种标识技术、元数据规范及数据记录系统和web查询平台,经过实际应用是可行的,个别技术瓶颈随通讯技术的发展将得到解决,其全面实施将为保证猪肉质量安全生产的监管及满足消费需求提供技术支撑。 相似文献
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我国猪肉质量安全可追溯系统的发展现状、问题及完善对策 总被引:1,自引:0,他引:1
本文从我国免疫标识制度、市场准入制度、可追溯制度、畜禽标识与养殖档案管理制度等法规制度的发展状况和标识编码、标识技术、数据库、网络建设等技术发展状况两个角度,分析了我国猪肉质量安全可追溯系统的法规制度与技术的发展现状;同时指出了猪肉质量安全可追溯系统存在的法律法规不完善、社会认知水平较低、行业协会作用不够、企业缺乏高效的生产管理、供应链各环节效率低的问题.提出了加强各监管部门之间的协调、加大宣传力度,规范猪肉行业协会组织建设、鼓励规模化和标准化养殖、完善管理制度等完善我国猪肉质量安全可追溯系统的对策. 相似文献
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猪肉质量安全可追踪系统及其管理制度研究 总被引:1,自引:0,他引:1
建立质量责任追溯机制是保障畜产品质量安全的关键。该研究在界定可追踪系统概念和分析其作用机理的基础上,探讨了基于条形码和互联网技术的猪肉食品质量安全可追踪系统的网络结构、系统流程、业务流程和信息标识方案,并提出了相应的管理制度。 相似文献
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基于北京、上海、济南3个城市636位猪肉销售商的调研数据,运用双变量Probit模型,分析猪肉销售商可追溯体系参与行为及其影响因素。研究结果显示,批发市场与农贸市场的猪肉销售商参与可追溯体系的水平参差不齐,仅有28.62%的销售商所售猪肉具备可追溯能力。就可追溯体系参与行为而言,仍有较大的改善空间。目前猪肉销售商多为中青年人,学历普遍较低,对猪肉可追溯体系的重要性认识程度较为一般。分析发现,采购关系、销售年限、销售利润、销售业态、关注程度、惩治力度、监控力度与年龄显著(P<0.1)影响销售商的参与行为。据此提出加强猪肉可追溯体系宣传工作、给予规范实施可追溯体系参与行为的猪肉销售商适当奖励、政府相关部门和市场管理方应加强对猪肉销售商的监管力度等建议。 相似文献
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猪肉可追溯体系质量安全效应研究——基于生猪屠宰加工企业的视角 总被引:1,自引:1,他引:0
为探讨猪肉可追溯体系对保障猪肉质量安全的作用,构建政府契约激励模型和市场声誉机制模型进行理论探讨,利用北京市实地调查的2家生猪屠宰加工企业的典型案例展开实证分析。结果表明:猪肉可追溯体系通过质量安全监控力度的增强和声誉机制起到规范屠宰企业质量安全行为的作用;猪肉可追溯体系建设带来的政府监管力度和监管效率的提高有助于遏制屠宰企业的道德风险活动和机会主义行为;声誉机制在解决猪肉质量安全问题上可以和显性激励机制一样起到激励约束屠宰企业质量安全行为的作用,但声誉机制作用的发挥受到猪肉溯源水平的影响。政府应适时对猪肉可追溯体系建设进行绩效评估,在深化猪肉可追溯体系建设的同时,加大对猪肉质量安全违规行为的监控和惩治力度,并充分调动生猪屠宰加工企业参与猪肉可追溯体系的积极性。 相似文献
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A Solution on Pork Quality Traceability from Farm to Dinner Table in Tianjin City, China 总被引:1,自引:0,他引:1
XIONG Ben-hai FU Run-ting LIN Zhao-hui LUO Qing-yao YANG Liang PAN Jia-rong 《中国农业科学(英文版)》2010,9(1):147-156
In order to meet government supervision of pork production safety as well as consumer's right to know what they buy and protect the public safety of pork food, this study adopts animal identification, intelligent personal digital assistant (PDA) reading and writing, general packet radio service (GPRS), and other information technologies, proposes a pork tracking and traceability inferstructure based on pork production substrace flow and data flow, designs the metadata structure and related datatbases for farming, slaughtering, and retailing sector based on intensive pig farming and smallhold pig farming, develops three different data-recording systems, and finally establishes a public network platform for the information inquiry in light of "the administrative rules on identification and rearing files for animal and poultry" in China. The farming process information system supplies early warning for the usage of drugs and feed additives based on data of every individual pig and timely uploading all events data to remote traceability database when pigs are sold; the PDA data collecting system can collect farming events data for pigs fed by farmers and submit to the center database by GPRS; the web-based Tianjin's pork traceability platform can integrate all identifications and related pork quality data from farming, slaughtering to marketing by online, and achieve pork tracking from product origin to consumption and tracing in the turnover direction. It is feasible to realize pork quality traceability by identification technologies developed and/or integrated, metadata specifications designed, three data-recording systems deyeloped, and web-inquiring platform established. Some individual technical bottlenecks will be resolved with the development of communication technologies. The full implementation in Tianjin, China, will supply technical support for guaranteeing the quality and safety of pork production and meeting consumer's demands. 相似文献
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《农业科学学报》2010,(1)
In order to meet government supervision of pork production safety as well as consumer's right to know what they buy and protect the public safety of pork food,this study adopts animal identification,intelligent personal digital assistant(PDA) reading and writing,general packet radio service(GPRS),and other information technologies,proposes a pork tracking and traceability inferstructure based on pork production substrace flow and data flow,designs the metadata structure and related datatbases for farming,slaughtering,and retailing sector based on intensive pig farming and smallhold pig farming,develops three different data-recording systems,and finally establishes a public network platform for the information inquiry in light of "the administrative rules on identification and rearing files for animal and poultry" in China.The farming process information system supplies early warning for the usage of drugs and feed additives based on data of every individual pig and timely uploading all events data to remote traceability database when pigs are sold;the PDA data collecting system can collect farming events data for pigs fed by farmers and submit to the center database by GPRS;the web-based Tianjin's pork traceability platform can integrate all identifications and related pork quality data from farming,slaughtering to marketing by online,and achieve pork tracking from product origin to consumption and tracing in the turnover direction.It is feasible to realize pork quality traceability by identification technologies developed and/or integrated,metadata specifications designed,three data-recording systems developed,and web-inquiring platform established.Some individual technical bottlenecks will be resolved with the development of communication technologies.The full implementation in Tianjin,China,will supply technical support for guaranteeing the quality and safety of pork production and meeting consumer's demands. 相似文献
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基于SNPs标记的猪肉DNA溯源技术的研究 总被引:2,自引:0,他引:2
建立溯源系统对肉类食品的管理和质量安全控制具有十分重要的作用。传统标记方法在肉类溯源的应用中受到了限制,基于生物个体本身基因组DNA特性而建立的DNA溯源标记方法可以解决这一难题。在国内首次对猪肉进行了基于SNPs标记的DNA溯源技术研究。采用RFLP-PCR方法检测了猪12个SNP候选标记,以期寻找到多态性信息含量丰富的SNP位点用于猪肉DNA溯源标记,结果发现6个SNP位点符合预期标准,分别是SNP1,SNP2,SNP3,SNP4,SNP5和SNP12,为建立猪肉产品的DNA溯源系统奠定了基础。 相似文献
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