CN103513012A - Vegetable safety detection system and method - Google Patents
Vegetable safety detection system and method Download PDFInfo
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- CN103513012A CN103513012A CN201210221313.0A CN201210221313A CN103513012A CN 103513012 A CN103513012 A CN 103513012A CN 201210221313 A CN201210221313 A CN 201210221313A CN 103513012 A CN103513012 A CN 103513012A
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Abstract
The invention discloses a vegetable safety detection system and method and belongs to the technical field of food safety detection. The system comprises a detection device and a cloud server, wherein the detection device is used for detecting vegetables according to preset detection indexes and transmitting detection information to the cloud server; the preset detection indexes mainly include residual poison amount, heavy metal content and the like; the cloud server is used for receiving the detection information detected by the detection device, estimating the detection information and transmitting an estimation result to the detection device. The method comprises the following steps of information safety detection, information safety estimation and information safety display and alarm. According to the provided system and method, an application system instead of labor is used for detecting the vegetable safety, the system and method can eliminate interference of man-made subjective factors, a detection result which varies with each individual is avoided, people are free from heavy work, the precision can also be improved, and a guarantee is provided for vegetable safety.
Description
Technical field
The present invention relates to a kind of vegetable safety detection system and method, belong to food safety detection technical field.
Background technology
" bread is the staff of life; food is with An Weixian ", current vegetables are subject to the pollution of agricultural chemicals, heavy metal and unknown poisonous substance often, pass through internet hunt, the information relevant with " edible vegetable pesticide poisoning " has nearly 970,000 multinomial, so vegetables edible safety problem is particularly noticeable.
Summary of the invention
For guaranteeing vegetable safety, the invention provides a kind of vegetable safety detection system and method, this system comprises: pick-up unit and cloud server;
Described pick-up unit, for according to predetermined detection index, vegetables being detected, and is sent to cloud server by detection information; Described predetermined detection index mainly contains poison residual quantity, content of beary metal, nitrate content, content of nitrite.
Described cloud server, the detection information detecting for receiving above-mentioned detection device, assesses detection information, and assessment result is sent to pick-up unit.
Inclusion information database and evaluation module in described cloud server;
The standard index that has predetermined detection index in described information database, this standard index meets human-body safety;
Described evaluation module, for according to standard index, the detection information receiving being assessed, shows assessment result, and the rank that assessment result is different pollution levels, as slight, moderate, serious pollution.
Described pick-up unit comprises GPS module, wireless communication module, display unit, alarm unit and camera;
Described GPS module, for locating the geographic position of current detection;
Described wireless communication module, sends cloud server for detecting information and geographical location information;
Described display unit, be used for showing assessment result, when assessment result is shown as vegetables while being subject to polluting, start alarm unit and camera, simultaneously for generating about vegetables and pollute map according to different local geographical location information, and use variant color to carry out map demonstration for different pollution levels, be convenient to observe intuitively testing result;
Described alarm unit, for being sent to warning message the second cloud server;
Described camera, for vegetables are taken pictures, is sent to the second cloud server by pictorial information and detection information.
A detection method, comprising:
Information security detecting step, pick-up unit detects vegetables according to predetermined detection index, and detection information is sent to cloud server;
Information Security Evaluation step, cloud server receives detection information, and evaluation module is assessed detection information according to the standard index of the predetermined detection index having in server, shows assessment result, and assessment result is sent to pick-up unit;
Information security shows and alarming step, pick-up unit display unit shows assessment result, when assessment result is shown as vegetables while being subject to polluting, start alarm unit and camera, alarm unit is sent to the second cloud server by warning message, camera is taken pictures to vegetables, and pictorial information and detection information are sent to the second cloud server.
A kind of vegetable safety detection system provided by the invention and method, application system replaces people to detect vegetable safety, described system and method can be got rid of the interference of artificial subjective factor, avoided the testing result varying with each individual, not only people is freed from heavy work, and can improve precision, for the safety of vegetables provides safeguard.
Accompanying drawing explanation
Fig. 1 is that a kind of vegetable safety detection system that the present invention invents forms structural representation.
Embodiment
A kind of vegetable safety detection system of the present invention's invention forms structural representation as shown in Figure 1, and this system comprises: pick-up unit and cloud server;
Described pick-up unit, for according to predetermined detection index, vegetables being detected, and is sent to cloud server by detection information; Described predetermined detection index mainly contains poison residual quantity, content of beary metal, nitrate content, content of nitrite.
Described cloud server, the detection information detecting for receiving above-mentioned detection device, assesses detection information, and assessment result is sent to pick-up unit.
Inclusion information database and evaluation module in described cloud server;
The standard index that has predetermined detection index in described information database, this standard index meets human-body safety;
Described evaluation module, for according to standard index, the detection information receiving being assessed, shows assessment result, and the rank that assessment result is different pollution levels, as slight, moderate, serious pollution.
Described pick-up unit comprises GPS module, wireless communication module, display unit, alarm unit and camera;
Described GPS module, for locating the geographic position of current detection;
Described wireless communication module, sends cloud server for detecting information and geographical location information;
Described display unit, be used for showing assessment result, when assessment result is shown as vegetables while being subject to polluting, start alarm unit and camera, simultaneously for generating about vegetables and pollute map according to different local geographical location information, and use variant color to carry out map demonstration for different pollution levels, be convenient to observe intuitively testing result;
Described alarm unit, for being sent to warning message the second cloud server;
Described camera, for vegetables are taken pictures, is sent to the second cloud server by pictorial information and detection information.
A kind of vegetable safety detection method of the present invention's invention, comprising:
Information security detects rapid, and pick-up unit detects vegetables according to predetermined detection index, and detection information is sent to cloud server;
Information Security Evaluation step, cloud server receives detection information, and expert assessment and evaluation module is assessed detection information according to the standard index of the predetermined detection index having in server, shows assessment result, and assessment result is sent to pick-up unit;
Information security shows and alarming step, pick-up unit display unit shows assessment result, when assessment result is shown as vegetables while being subject to polluting, start alarm unit and camera, alarm unit is sent to quality safety superintendent office server by warning message, camera is to the vegetables evidence obtaining of taking pictures, and pictorial information and detection information are sent to quality safety superintendent office server.
Claims (5)
1. a vegetable safety detection system, is characterized in that, described system comprises: pick-up unit and cloud server;
Described pick-up unit, for according to predetermined detection index, vegetables being detected, and is sent to cloud server by detection information;
Described cloud server, the detection information detecting for receiving above-mentioned detection device, assesses detection information, and assessment result is sent to pick-up unit.
2. an a kind of vegetable safety detection system as claimed in claim 1, in pick-up unit, is characterized in that, described predetermined detection index mainly contains poison residual quantity, content of beary metal, nitrate content, content of nitrite.
3. an a kind of vegetable safety detection system as claimed in claim 1, is characterized in that, inclusion information database and evaluation module in described cloud server;
The standard index that has predetermined detection index in described information database, this standard index meets human-body safety;
Described evaluation module, for according to standard index, the detection information receiving being assessed, shows assessment result, and assessment result is different pollution level ranks, as slight, moderate, serious pollution.
4. an a kind of vegetable safety detection system as claimed in claim 1, is characterized in that, described pick-up unit comprises GPS module, wireless communication module, display unit, alarm unit and camera;
Described GPS module, for locating the geographic position of current detection;
Described wireless communication module, sends cloud server for detecting information and geographical location information;
Described display unit, be used for showing assessment result, when assessment result is shown as vegetables while being subject to polluting, start alarm unit and camera, simultaneously for generating about vegetables and pollute map according to different local geographical location information, and use variant color to carry out map demonstration for different pollution levels, be convenient to observe intuitively testing result;
Described alarm unit, for being sent to warning message the second cloud server;
Described camera, for vegetables are taken pictures, is sent to the second cloud server by pictorial information and detection information.
5. a vegetable safety detection method, is characterized in that, comprising:
Information security detecting step, pick-up unit detects vegetables according to predetermined detection index, and detection information is sent to cloud server;
Information Security Evaluation step, cloud server receives detection information, and evaluation module is assessed detection information according to the standard index of the predetermined detection index having in server, shows assessment result, and assessment result is sent to pick-up unit;
Information security shows and alarming step, pick-up unit display unit shows assessment result, when assessment result is shown as vegetables while being subject to polluting, start alarm unit and camera, alarm unit is sent to the second cloud server by warning message, camera is taken pictures to vegetables, and pictorial information and detection information are sent to the second cloud server.
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| CN201210221313.0A CN103513012A (en) | 2012-06-30 | 2012-06-30 | Vegetable safety detection system and method |
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| CN201210221313.0A CN103513012A (en) | 2012-06-30 | 2012-06-30 | Vegetable safety detection system and method |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105678630A (en) * | 2016-02-06 | 2016-06-15 | 福州宏泰分析技术有限公司 | Intelligent marine environment and aquatic product quality safety supervision system |
| CN105974072A (en) * | 2016-05-03 | 2016-09-28 | 成都亿信标准认证集团有限公司 | Food safety detection system |
| CN106546535A (en) * | 2015-09-21 | 2017-03-29 | 群燿科技股份有限公司 | Optical detection device, optical detection method and optical detection system |
| CN106770997A (en) * | 2016-12-05 | 2017-05-31 | 无锡艾科瑞思产品设计与研究有限公司 | A kind of food inspection cloud system |
| CN106990212A (en) * | 2017-04-01 | 2017-07-28 | 深圳万发创新进出口贸易有限公司 | It is a kind of to upload the Detecting Pesticide system of data in real time |
| CN107202873A (en) * | 2017-05-27 | 2017-09-26 | 安徽鑫泰药业有限公司 | A kind of detection method of Chinese medicine or the prepared slices of Chinese crude drugs residual quantity of heavy metal limitation |
| CN108845518A (en) * | 2018-05-03 | 2018-11-20 | 江苏苏净集团有限公司 | Data acquire transmission circuit plate and monitor micro- station using its air quality gridding |
| CN109959764A (en) * | 2019-03-26 | 2019-07-02 | 深圳测测科技有限公司 | A kind of Nitrate Content in Food content detection system |
| CN110580627A (en) * | 2018-06-07 | 2019-12-17 | 镇江三龙生态农业发展有限公司 | Vegetable quality safety traceability system based on Internet of things |
| CN115578000A (en) * | 2022-09-06 | 2023-01-06 | 河北大学 | Method for evaluating heavy metal resistance of vegetables |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106546535A (en) * | 2015-09-21 | 2017-03-29 | 群燿科技股份有限公司 | Optical detection device, optical detection method and optical detection system |
| CN105678630A (en) * | 2016-02-06 | 2016-06-15 | 福州宏泰分析技术有限公司 | Intelligent marine environment and aquatic product quality safety supervision system |
| CN105678630B (en) * | 2016-02-06 | 2020-05-01 | 福州宏泰分析技术有限公司 | Intelligent marine environment and aquatic product quality safety supervision system |
| CN105974072A (en) * | 2016-05-03 | 2016-09-28 | 成都亿信标准认证集团有限公司 | Food safety detection system |
| CN106770997A (en) * | 2016-12-05 | 2017-05-31 | 无锡艾科瑞思产品设计与研究有限公司 | A kind of food inspection cloud system |
| CN106990212A (en) * | 2017-04-01 | 2017-07-28 | 深圳万发创新进出口贸易有限公司 | It is a kind of to upload the Detecting Pesticide system of data in real time |
| CN107202873A (en) * | 2017-05-27 | 2017-09-26 | 安徽鑫泰药业有限公司 | A kind of detection method of Chinese medicine or the prepared slices of Chinese crude drugs residual quantity of heavy metal limitation |
| CN108845518A (en) * | 2018-05-03 | 2018-11-20 | 江苏苏净集团有限公司 | Data acquire transmission circuit plate and monitor micro- station using its air quality gridding |
| CN110580627A (en) * | 2018-06-07 | 2019-12-17 | 镇江三龙生态农业发展有限公司 | Vegetable quality safety traceability system based on Internet of things |
| CN109959764A (en) * | 2019-03-26 | 2019-07-02 | 深圳测测科技有限公司 | A kind of Nitrate Content in Food content detection system |
| CN115578000A (en) * | 2022-09-06 | 2023-01-06 | 河北大学 | Method for evaluating heavy metal resistance of vegetables |
| CN115578000B (en) * | 2022-09-06 | 2024-05-03 | 河北大学 | Evaluation method for heavy metal resistance of vegetables |
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