CN208141590U - pesticide residue detection data collection, analysis and early warning system - Google Patents
pesticide residue detection data collection, analysis and early warning system Download PDFInfo
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- CN208141590U CN208141590U CN201820664343.1U CN201820664343U CN208141590U CN 208141590 U CN208141590 U CN 208141590U CN 201820664343 U CN201820664343 U CN 201820664343U CN 208141590 U CN208141590 U CN 208141590U
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- 238000007405 data analysis Methods 0.000 title claims abstract description 21
- 239000000447 pesticide residue Substances 0.000 title claims abstract description 17
- 238000001514 detection method Methods 0.000 title description 3
- 238000013480 data collection Methods 0.000 title 1
- 230000005540 biological transmission Effects 0.000 claims abstract description 15
- 238000004458 analytical method Methods 0.000 claims abstract description 13
- 239000000575 pesticide Substances 0.000 claims description 13
- 238000001294 liquid chromatography-tandem mass spectrometry Methods 0.000 claims description 2
- 238000002290 gas chromatography-mass spectrometry Methods 0.000 claims 1
- 238000012544 monitoring process Methods 0.000 abstract description 12
- 238000005516 engineering process Methods 0.000 abstract description 6
- 235000013305 food Nutrition 0.000 abstract description 6
- 238000007418 data mining Methods 0.000 abstract description 3
- 231100000279 safety data Toxicity 0.000 abstract 2
- 230000000694 effects Effects 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 230000001010 compromised effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 235000013311 vegetables Nutrition 0.000 description 1
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Abstract
The utility model particularly relates to a pesticide residue detects data and collects, analysis and early warning system, including data acquisition module and data transmission module and data analysis module and early warning module, data acquisition module and data transmission module link to each other, the pesticide residue data that data acquisition module will gather sends for data analysis module through data transmission module, data analysis module carries out the analysis to the pesticide residue data received, data analysis module links to each other with early warning module, early warning module passes through the network and links to each other with each laboratory managers's mobile terminal. The internet of things technology and the data mining technology are applied to food quality safety monitoring, so that food quality safety data can be timely and effectively detected, monitored and early warned, theoretical basis is provided for real-time collection, monitoring and risk management of the quality safety data, data support is provided for decision making of government supervision departments in real time, and the continuous development and improvement of an agricultural product quality safety monitoring system are facilitated.
Description
Technical field
The utility model relates to Detecting Pesticide technical field of data processing, in particular to a kind of Detecting Pesticide number
According to collecting, analyze and early warning system.
Background technique
The phenomenon that due to there are Pesticide use amounts in China excessive, overfrequency and long-term abuse and using violated pesticide, so that
Pesticide residue is accumulated on agricultural product, directly affects agricultural product quality.Therefore, it is necessary to the quality safeties to agricultural product to supervise
It surveys, especially the vegetables of daily consumption.However, agricultural products in China quality safety monitoring timeliness is poor, result cannot be will test
Supervision department is uploaded in real time, cannot data be carried out with automated analysis, regulator can not obtain quality safety in first time
Monitoring data make a policy before cannot entering consumptive link to problematic agricultural product in time, cause agricultural product quality and safety thing
Part just goes to supervise after occurring, so that the health of consumer is compromised.
Utility model content
The purpose of this utility model is to provide a kind of Detecting Pesticide tidal data recovering, analysis and early warning systems, can have
Pesticide residue is detected, is monitored and early warning in effect ground.
In order to achieve the above object, the technical solution adopted in the utility model is：A kind of Detecting Pesticide tidal data recovering, point
Analysis and early warning system, including be arranged in each laboratory data acquisition module and data transmission module and be arranged in supervision department
The data analysis module and warning module of door, the data acquisition module are connected with data transmission module, data acquisition module
Collected pesticide residue data are sent to data analysis module by data transmission module, data analysis module is to receiving
Pesticide residue data analyzed, data analysis module is connected with warning module, and warning module passes through network and each laboratory
The mobile terminal of administrative staff is connected.
Compared with prior art, there are following technical effects for the utility model：By technology of Internet of things and data mining technology
Be applied in Safety of Food Quality monitoring, may be implemented to Safety of Food Quality data in time, be effectively detected, monitor and in advance
It is alert, theoretical foundation is provided for quality safety real time data acquisition, monitoring, risk management, is mentioned in real time for government regulator decision
For data supporting, be conducive to have pushed agricultural product quality and safety monitoring system to continue to develop and perfect.
Detailed description of the invention
Fig. 1 is the principles of the present invention block diagram.
Specific embodiment
Below with reference to Fig. 1, the utility model is described in further detail.
Refering to fig. 1, a kind of Detecting Pesticide tidal data recovering, analysis and early warning system, including be arranged in each laboratory
Data acquisition module 10 and data transmission module 20 and data analysis module 30 and warning module that supervision department is set
40, the data acquisition module 10 is connected with data transmission module 20, and data acquisition module 10 is by collected pesticide residue
Data are sent to data analysis module 30 by data transmission module 20, and data analysis module 30 is to the pesticide residue number received
According to being analyzed, pesticide residue data analysing method common in the art is used here, how to pesticide residue number
According to analyzed be not this case terminal, therefore here not elaborate.Data analysis module 30 is connected with warning module 40, in advance
Alert module 40 is connected by network with the mobile terminal of each laboratory room managing personnel.Technology of Internet of things and data mining technology are answered
Use in Safety of Food Quality monitoring, may be implemented to Safety of Food Quality data in time, be effectively detected, monitor and early warning,
Theoretical foundation is provided for quality safety real time data acquisition, monitoring, risk management, provides number in real time for government regulator decision
According to support, be conducive to have pushed agricultural product quality and safety monitoring system to continue to develop and perfect.
The key point of the utility model is to establish a data analysis module 30 and warning module 40, in the prior art,
Each laboratory is all often the independent detection and analysis for carrying out pesticide residue data, is unfavorable for supervision department in this way at the first time
Quality safety monitoring data are obtained, by collecting pesticide residue every time in each lab setup data transmission module 20
After data, Detecting Pesticide data are transmitted in the data analysis module 30 at supervision department at once, allow supervision department's energy
It is enough to obtain detection data at the first time.
The type of data acquisition module 10 has very much, and in the utility model, the data acquisition module 10 is gas phase color
Mass spectrometer and/or Liquid Chromatography-Tandem Mass Spectrometry instrument are composed, other kinds of instrument for detecting pesticide residue through device can also be selected.
Preferably, the data transmission module 20 is WIFI module or 3G/4G module.Wirelessly transmit number
According to more convenient.The data analysis module 30 is computer, in this way, the analysis to data handles more convenient, laboratory
The mobile terminal of administrative staff is mobile phone.
Claims (4)
1. a kind of Detecting Pesticide tidal data recovering, analysis and early warning system, it is characterised in that：Including being arranged in each laboratory
Data acquisition module (10) and data transmission module (20) and the data analysis module (30) of supervision department and pre- is set
Alert module (40), the data acquisition module (10) are connected with data transmission module (20), and data acquisition module (10) will be adopted
The pesticide residue data collected are sent to data analysis module (30) by data transmission module (20), data analysis module (30)
The pesticide residue data received are analyzed, data analysis module (30) is connected with warning module (40), warning module
(40) it is connected by network with the mobile terminal of each laboratory room managing personnel.
2. Detecting Pesticide tidal data recovering, analysis and early warning system as described in claim 1, it is characterised in that：Described
Data acquisition module (10) is gas chromatography-mass spectrometry and/or Liquid Chromatography-Tandem Mass Spectrometry instrument.
3. Detecting Pesticide tidal data recovering, analysis and early warning system as described in claim 1, it is characterised in that：Described
Data transmission module (20) is WIFI module or 3G/4G module.
4. Detecting Pesticide tidal data recovering, analysis and early warning system as described in claim 1, it is characterised in that：Described
Data analysis module (30) is computer, and the mobile terminal of laboratory room managing personnel is mobile phone.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820664343.1U CN208141590U (en) | 2018-05-04 | 2018-05-04 | pesticide residue detection data collection, analysis and early warning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820664343.1U CN208141590U (en) | 2018-05-04 | 2018-05-04 | pesticide residue detection data collection, analysis and early warning system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN208141590U true CN208141590U (en) | 2018-11-23 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201820664343.1U Active CN208141590U (en) | 2018-05-04 | 2018-05-04 | pesticide residue detection data collection, analysis and early warning system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN208141590U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117192015A (en) * | 2023-09-11 | 2023-12-08 | 宁夏农产品质量标准与检测技术研究所(宁夏农产品质量监测中心) | Risk assessment method and system for pesticide residues in medlar |
-
2018
- 2018-05-04 CN CN201820664343.1U patent/CN208141590U/en active Active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117192015A (en) * | 2023-09-11 | 2023-12-08 | 宁夏农产品质量标准与检测技术研究所(宁夏农产品质量监测中心) | Risk assessment method and system for pesticide residues in medlar |
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