CN105741217B - Multi-field comprehensive fast screening method and application system - Google Patents

Multi-field comprehensive fast screening method and application system Download PDF

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CN105741217B
CN105741217B CN201610083147.0A CN201610083147A CN105741217B CN 105741217 B CN105741217 B CN 105741217B CN 201610083147 A CN201610083147 A CN 201610083147A CN 105741217 B CN105741217 B CN 105741217B
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information
module
unit
data
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CN105741217A (en
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陈雅云
邹岚
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Fujian Hongtai Renshun Information Technology Co.,Ltd.
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Fujian Hongtai Renshun Information Technology Co ltd
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Priority to CN202110702350.2A priority patent/CN113284028A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • G06Q50/265Personal security, identity or safety
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23Updating
    • G06F16/2365Ensuring data consistency and integrity
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395Quality analysis or management

Abstract

The invention relates to a multi-field comprehensive fast screening method and an application system, wherein the method comprises the following steps: setting detection sample classification, setting detection items and qualified indexes, registering detection units and detected units and matching the detected units with instrument IDs on a food quality supervision platform; setting a data acquisition address for data synchronization, a detection setting before an experiment and data after the detection experiment to be uploaded to a platform in an online unit; after the data are uploaded, the uploaded real-time data are checked on a food quality supervision platform, and unqualified data are automatically marked red. The system comprises: the device comprises a food quality supervision platform arranged at a supervision end, an online unit arranged at a field detection end and a quick measurement instrument. The multi-field comprehensive fast screening method and the application system provided by the invention improve the traditional pure manual data recording and data inputting mode, improve the operation efficiency, save the human resources and improve the data authenticity.

Description

Multi-field comprehensive fast screening method and application system
Technical Field
The invention relates to the field of food supervision and computer information processing technology, in particular to a multi-field comprehensive fast screening method and an application system.
Background
The 29 th political administration held a meeting 5.2015, and the proposal of food safety is a key field of public safety. For food safety supervision, the trainee proposes the "four most severe" for the first time: 1. the most stringent criteria; 2. the most stringent of regulations; 3. the most severe penalty; 4. the most serious of the disclaims. As can be seen from the "national food poisoning event notification" in 2010-2014 (department of health), the following problems exist in the current stage of food safety: 1. the specific gravity of microorganisms in the poisoning event is high; 2. the development of the food industry is extremely rapid; 3. the detection amount is continuously improved along with the increase of the yield value. In order to ensure the safety of food consumption, strict supervision on food is absolutely necessary. With the increasing of food types, in order to guarantee the comprehensiveness of food supervision, the back supervision objects of food safety supervision are also increasing, and mainly include: 1. monitoring the quality safety of vegetables and fruits; 2. monitoring the quality safety of the livestock and poultry products; 3. monitoring the quality safety of the tea; 4. monitoring the quality safety of aquatic products; 5. the quality of finished grain, edible oil, seasonings, meat products, egg products, wines, dairy products, dried beancurd sticks and the like is safe; 6. the bottled water (barreled water) has safe quality; 7. the quality of stored grains is sanitary; 8. the safety of processed food production operators and food and beverage service units is monitored; 9. monitoring heavy metal pollution and pesticide background residue of farmland soil and agricultural water source; 10. monitoring indexes such as bacteria, heavy metals, shellfish toxins and the like; 11. food safety demonstration points and the like. Therefore, the food monitoring and supervision process has great data volume, in the traditional detection field, an original record sheet and a detection report are filled manually through instrument detection, transmission of a paper report is carried out, or data of the original record sheet is filled into system software manually, the filling condition of the data is controlled manually, the authenticity of the data cannot be ensured to reach 100%, and the automatic data acquisition and uploading system only automatically collects equipment data and then is used for generating the detection report, does not have a fixed ID, carries out complex analysis and processing on the data, and the like, does not form a complete system, has extremely low resource utilization rate, causes inaccurate acquisition of food monitoring and supervision data and data fault, and has great defects in food monitoring and supervision.
Disclosure of Invention
The invention aims to provide a multi-field comprehensive fast screening method and an application system, so as to overcome the defects in the prior art.
In order to achieve the purpose, the technical scheme of the invention is as follows: a multi-field comprehensive fast screening method is realized according to the following steps:
step S1: the method comprises the following steps that a supervisor sets product classification information through a product classification module in a food quality supervision platform;
step S2: setting detection item information through a detection parameter configuration module in the food quality supervision platform;
step S3: setting detected unit information and detected unit information through an area information module, an organization structure personnel information module and a field detection environment information module in the food quality supervision platform;
step S4: configuring detection instrument information and detection unit information through a detection equipment basic data module, the region information module and the organizational structure personnel information module in the food quality supervision platform;
step S5: the method comprises the steps that detection personnel input organization structure personnel information through a user and a right management module in an online unit of a detection site, set data synchronization address information through a data multistage sharing control module, an equipment operation management maintenance module and an automatic data acquisition service module in the online module, and carry out data synchronization on the online unit and a food quality supervision platform so as to obtain information corresponding to each module in the food quality supervision platform;
step S6: the detection personnel sets the detection acquisition configuration information of the detected sample through the query condition analysis setting module in the online unit, and measures the sample through the data acquisition automatic identification module in the online unit by a quick measurement instrument matched with the data synchronous address information to obtain the detection item information;
step S7: a detection result data output unit in the online unit receives the detection item information acquired by the data acquisition automatic identification module, and displays online end detection result output data through an information generation and release module in the online unit;
step S8: the detection personnel upload the detection result output data to the food quality supervision platform through the data multistage sharing control module in the online unit; and the platform display control module in the food quality supervision platform receives the detection result output data, combines the detection item information in the detection parameter configuration module, judges the information through the monitoring control module in the food quality supervision platform, outputs the platform end detection result output data and prompts the detection result.
In an embodiment of the present invention, the product classification information includes: product type and product number; the product categories include: edible fungi, miscellaneous grains, tea, beans, melons, fruits, evergreen fruit trees herbs, evergreen fruit trees vines, evergreen fruit trees polymeric fruits, green leaf vegetables, evergreen fruit trees citrus fruits, mustard vegetables, evergreen fruit trees pome fruits and evergreen ancient trees litchi fruits; setting product classification information by the product classification module includes: adding new product classification information, modifying product classification information and deleting product classification information.
In an embodiment of the present invention, the detecting item information includes: detecting items and item qualification indexes; the detection items include: pesticide residues, copper, organic phenol, cadmium, nitrate, sodium formaldehyde sulfoxylate, amino acid nitrogen, peroxide value, malonaldehyde, salt iodine, sesame oil, hydrogen peroxide, borax, protein, arsenic and saccharin sodium; the detection parameter configuration module is used for setting detection item information and comprises the following steps: adding detection item information, modifying detection item information, deleting detection item information, setting qualified indexes of items and automatically sequencing.
In an embodiment of the present invention, the detection unit information includes: detecting the name of a unit, the location of the detecting unit, a contact person of the detecting unit and a contact telephone of the detecting unit; the detected unit information includes: the name of the detected unit, the type of the detected unit, the location of the detected unit, the contact person of the detected unit and the contact phone of the detected unit; the detected types include: production bases, farmer markets and wholesale markets; setting the inspection unit information and the inspected unit information through the area information module, the organization structure personnel information module, and the on-site inspection environment information module includes: adding detection unit information, modifying detection unit information and deleting detection unit information, adding detected unit information, modifying detected unit information and deleting detected unit information.
In an embodiment of the present invention, the detecting apparatus information includes: detecting and matching the number ID of the tachymeter with the model of the tachymeter, wherein the number ID of the tachymeter is unique; the tachymeter model includes: GTYN-HT 8A; the configuration of the detection instrument information and the detection unit information includes: adding detection instrument information matched with the detection unit information, modifying the detection instrument information matched with the detection unit information and deleting the detection instrument information matched with the detection unit information.
In an embodiment of the present invention, the data synchronization address information includes a communication port matched with the detection instrument, a data uploading address, a sample information address, an area information address, a detection point address, a detected unit address, and a file updating address; and determining the number of the tachymeter of the detection instrument through the communication port, wherein the detection instrument corresponds to the unique number of the tachymeter.
In an embodiment of the present invention, the configuration information for detecting and collecting the detected sample includes: sample number, sample category, sample name, sample category, detection time, detector, production unit, detection method, detection standard, production place, hardware serial number, belonged area, detection place, detected unit, detection item, sample number, culture time and color development time.
In an embodiment of the present invention, the data output by the online detection result includes: sample number, sample category, sample name, detection standard, hardware serial number, detector, detection time, detection method, production place, affiliated area, detection place, detected unit, production unit, uploading state, ID, project name, detection result, detection unit, detection date and detection time; the platform end detection result output data comprises: data state, detection item, production place, product name, product classification, detection result, detection unit, detected unit, instrument number, sample number, qualified or not, production unit, detection time and data uploading time.
Further, still provide a many fields and synthesize fast sieve application system, include: the food quality monitoring platform is arranged at the monitoring end, the online unit is arranged at the field detection end, and the rapid measurement instrument is arranged at the field detection end; the food quality supervision platform comprises a product classification module, a detection parameter configuration module, a region information module, an organization structure personnel information module, a field detection environment information module, a detection equipment basic data module, a platform display control module and a monitoring control module; the online unit includes: the device comprises a user and authority management module, a data multilevel sharing control module, an equipment operation management maintenance module, an automatic data acquisition service module, an inquiry condition analysis setting module, an automatic data acquisition identification module, a detection result data output unit and an information generation and release module.
In an embodiment of the present invention, the food quality supervision platform further includes a permission role configuration module and an e-government information module; the authority role configuration module is used for configuring the food quality supervision platform and user authority information corresponding to the online unit and is matched with the organizational structure personnel information module and the user and authority management module; the online unit further includes: the report and report statistical analysis module is used for printing and outputting reports and reports, the abnormal data self-checking and filtering module and the online end data monitoring and monitoring module.
Compared with the prior art, the invention has the following beneficial effects: the multi-field comprehensive fast screening method and the application system provided by the invention greatly improve the traditional pure manual data recording and data inputting mode, improve the operation efficiency, save the human resources and improve the data authenticity, ensure the correct data transmission source by utilizing the fixed instrument ID and improve the utilization rate of the resources obtained by the fast inspection instrument.
Drawings
FIG. 1 shows the classification of samples for inspection on a food quality monitoring platform according to the multi-field comprehensive rapid screening method and the application system of the present invention.
FIG. 2 shows the detection items and qualification indexes set on the food quality supervision platform in the multi-field comprehensive rapid screening method and application system of the present invention.
FIG. 3 shows the registration of detection units on a food quality supervision platform in the multi-domain comprehensive rapid screening method and application system of the present invention.
FIG. 4 shows the registration of units to be inspected on a food quality supervision platform in the multi-domain comprehensive rapid screening method and application system of the present invention.
FIG. 5 shows the matching of units to be tested with instrument IDs on a food quality supervision platform in the multi-domain comprehensive rapid screening method and application system of the present invention.
Fig. 6 is a diagram illustrating a data acquisition address for data synchronization set on an online unit in the multi-domain integrated fast screening method and application system of the present invention.
Fig. 7 shows the configuration information for detecting and collecting the on-line unit in the multi-domain integrated fast screening method and the application system of the present invention.
FIG. 8 illustrates a method and system for multi-domain integrated fast screening according to the present invention.
Fig. 9 is a diagram illustrating the online end detection result output data output on the online unit in the multi-domain integrated fast screening method and the application system of the present invention.
FIG. 10 is a diagram illustrating platform-side test result output data output on an online unit according to the multi-domain integrated fast screening method and the application system of the present invention.
Fig. 11 is a software architecture diagram of a food quality monitoring platform in the multi-domain integrated rapid screening method and application system of the present invention.
FIG. 12 is a diagram of the software architecture of the online units in the multi-domain integrated fast screening method and application of the present invention.
Detailed Description
The technical scheme of the invention is specifically explained below with reference to the accompanying drawings.
The invention provides a multi-field comprehensive fast screening method, which is realized according to the following steps as shown in figures 1 to 10:
step S1: the method comprises the following steps that a supervisor sets product classification information through a product classification module in a food quality supervision platform;
step S2: setting detection item information through a detection parameter configuration module in the food quality supervision platform;
step S3: the information of detected units and the information of detected units are set through a region information module, an organization structure personnel information module and a field detection environment information module in the food quality supervision platform;
step S4: configuring detection instrument information and detection unit information through a detection equipment basic data module, a region information module and an organization structure personnel information module in a food quality supervision platform;
step S5: the detection personnel input the information of the organization structure personnel through a user and a right management module in an online unit of a detection site, set data synchronization address information through a data multistage sharing control module, an equipment operation management maintenance module and an automatic data acquisition service module in the online module, and perform data synchronization on the online unit and a food quality supervision platform so as to acquire information corresponding to each module in the food quality supervision platform;
step S6: the method comprises the following steps that detection personnel set detection acquisition configuration information of a detected sample through a query condition analysis setting module in an online unit, and measure the sample through a rapid test instrument matched with data synchronous address information through a data acquisition automatic identification module in the online unit to obtain detection item information;
step S7: a detection result data output unit in the online unit receives the detection item information acquired by the data acquisition automatic identification module, and displays the online end detection result output data through an information generation and release module in the online unit;
step S8: the detection personnel upload the detection result output data to the food quality supervision platform through the data multistage sharing control module in the online unit; and a platform display control module in the food quality supervision platform receives the detection result output data, combines the detection item information in the detection parameter configuration module, judges the information through a monitoring control module in the food quality supervision platform, outputs the platform end detection result output data and prompts the detection result.
Further, in this embodiment, as shown in fig. 1, the product classification information includes: product type and product number; the product categories include: edible fungi, miscellaneous grains, tea, beans, melons, fruits, evergreen fruit trees herbs, evergreen fruit trees polymeric fruits, green leaf vegetables, evergreen fruit trees citrus fruits, mustard vegetables, evergreen fruit trees pome fruits, evergreen ancient trees litchi fruits and the like; the setting of the product classification information by the product classification module includes: adding new product classification information, modifying product classification information and deleting product classification information.
In this embodiment, as shown in fig. 2, the setting, by the detection parameter configuration module, of the detection item information includes: adding detection item information, modifying detection item information, deleting detection item information, setting qualified indexes of items and automatically sequencing. The detecting the item information includes: and detecting the project and the project qualification index. The project qualification index is a numerical parameter. The detection items comprise: pesticide residues, copper, organic phenol, cadmium, nitrate, sodium formaldehyde sulfoxylate, amino acid nitrogen, peroxide value, malonaldehyde, salt iodine, sesame oil, hydrogen peroxide, borax, protein, arsenic, saccharin sodium and the like; preferably, the following items are specifically included:
1) formaldehyde: aquatic products, flour products, bean products and the like;
2) sulfur dioxide: sugar, wine and various dried fruits;
3) nitrite salt: meat products, canned meat, vegetables, pickles, fresh meat, fresh fish, table salt, bottled beverages, various dried fruits and herbs, and suspected nitrite poisoning;
4) hanging a white block: agricultural and sideline products, daily food, marine products and products thereof;
5) pesticide residue toxicity: vegetables, fruits;
6) formaldehyde in Chinese cabbage: chinese cabbage;
7) amino acid nitrogen: soy sauce;
8) potassium bromate: flour and other flour products;
9) peroxide number: a vegetable oil;
10) malonic dialdehyde: lard oil;
11) salt iodine: salt;
12) hydrogen peroxide: food and health care products;
13) sesame oil: measuring the quality of sesame oil (sesame oil);
14) nitrate salt: meat products, meat cans, vegetables, pickles, fresh meat, fresh fish, edible salt, bottled beverages and the like;
15) borax: fish balls, rice dumplings, etc.;
16) poor quality milk: quantitative determination of protein content in milk powder and liquid milk;
17) methanol: various distilled liquors and prepared liquors are hollow fermented liquors and the like;
18) ethanol: various distilled liquors and prepared liquors are hollow fermented liquors and the like;
19) heavy metal chromium: a food product;
20) inorganic arsenic: a food product;
21) saccharin: various distillations and preparation are performed to saccharine in drinking white spirit such as Chinese yeast;
22) moisture content of honey: honey;
23) fructose-glucose: honey;
24) honey and cane sugar: honey;
25) acidity of honey: honey;
26) hydroxymethyl furfural: honey;
27) starch enzyme: honey;
28) total acid of soy sauce: soy sauce;
29) total acid of vinegar: vinegar;
30) acid value of edible oil: edible oil;
31) monosodium glutamate: monosodium glutamate;
32) aging and grain transformation: grains;
33) and (3) freshness of rice: rice;
34) benzoyl peroxide: flour;
35) sodium thiocyanate: milk, raw milk;
36) volatile basic nitrogen: meat and meat products;
37) lemon yellow: synthetic pigment in fruit-flavored water, soda water, wine, soft candy, hard candy, confection, milk candy, cake, ice cream, jelly, etc.;
38) yellow color in the day: synthetic pigment in fruit-flavored water, soda water, wine, soft candy, hard candy, confection, milk candy, cake, ice cream, jelly, etc.;
39) magenta lipid red: synthetic pigment in fruit-flavored water, soda water, wine, soft candy, hard candy, confection, milk candy, cake, ice cream, jelly, etc.;
40) amaranth: synthetic pigment in fruit-flavored water, soda water, wine, soft candy, hard candy, confection, milk candy, cake, ice cream, jelly, etc.;
41) bright blue: synthetic pigment in fruit-flavored water, soda water, wine, soft candy, hard candy, confection, milk candy, cake, ice cream, jelly, etc.;
42) allure red: synthetic pigment in fruit-flavored water, soda water, wine, soft candy, hard candy, confection, milk candy, cake, ice cream, jelly, etc.;
43) nitrite in meat tenderizer: tendering meat powder;
44) pork POD: pork;
45) chicken POD: chicken meat;
46) lactose;
47)P H;
48) and (3) sorbic acid: fruit juice, soda water, preserved fruit, and dried meat;
49) residual chlorine: domestic drinking water and its source water, surface water and underground water, etc.;
50) auricularia auricula adulteration: auricularia auricula;
51) salt and salinity: salt;
52) the temperature of the food.
Further, in the present embodiment, as shown in fig. 3 and 4, the detection unit information includes: the name of the detection unit, the location of the detection unit, the contact person of the detection unit and the contact telephone of the detection unit, wherein the location of the detection unit comprises province, urban district, county and the like. The detected unit information includes: the name of the detected unit, the type of the detected unit, the location of the detected unit, the contact person of the detected unit and the contact phone of the detected unit; the locus of the detection unit comprises: province, city, district, county, etc. The detected types include: production bases, farmer markets, wholesale markets and the like; set up detection unit information and detected unit information through regional information module, organizational structure personnel information module and on-the-spot detection environmental information module and include: adding detection unit information, modifying detection unit information and deleting detection unit information, adding detected unit information, modifying detected unit information and deleting detected unit information. The area information module is used for providing the address area contents of each unit, such as province, city, district, county and the like. The organization structure personnel information module is used for setting information of a detection unit, and the field detection environment information module is used for setting information of the detection unit.
Further, in the present embodiment, as shown in fig. 5, the detection instrument information includes: detecting and matching the number ID of the tachymeter with the model of the tachymeter, wherein the number ID of the tachymeter is unique; the tachymeter model includes: GTYN-HT 8A; the configuration of the detection instrument information and the detection unit information comprises the following steps: adding detection instrument information matched with the detection unit information, modifying the detection instrument information matched with the detection unit information and deleting the detection instrument information matched with the detection unit information.
Further, in this embodiment, the detection personnel inputs corresponding user authority information through the user and the authority management module, and if the corresponding user authority information is matched with the user authority information provided by the authority role configuration module in the food quality supervision platform, the next operation is allowed if the corresponding user authority information is matched with the user authority information, otherwise, the operation is rejected.
Further, in this embodiment, as shown in fig. 6, the data multi-level sharing control module is used for various synchronous setting services for data synchronization, and the device operation management maintenance module and the data automatic acquisition service module are used for providing services such as a rapid test instrument port and data acquisition setting. The data synchronization address information comprises a communication port matched with the detection instrument, a data uploading address, a sample information address, an area information address, a detection point address, a detected unit address and a file updating address; and determining the tachymeter serial number ID of the detection instrument through the communication port, wherein the detection instrument corresponds to the unique tachymeter serial number ID. In addition, the method also comprises the selective setting of the Yankee region and the detection place.
Further, in this embodiment, as shown in fig. 7 and 8, the query condition analysis setting module provides a setting service for detecting and collecting configuration information, the data collection automatic identification module is configured to identify the rapid test instrument and provide a data transmission service, and the detecting and collecting configuration information of the detected sample includes: sample number, sample category, sample name, sample category, detection time, detector, production unit, detection method, detection standard, production place, hardware serial number, belonged area, detection place, detected unit, detection item, sample number, culture time and color development time. The data can be selected and set synchronously with data of a food quality supervision platform, such as sample categories, sample names, detection items and the like.
Further, in the present embodiment, as shown in fig. 9 and 10, the online end detection result output data includes: sample number, sample category, sample name, detection standard, hardware serial number, detector, detection time, detection method, production place, belonging area, detection place, detected unit, production unit, uploading state, ID, project name, detection result, detection unit, detection date and detection time. As shown in fig. 9, after the online unit obtains the result of the detection result data, the obtained data may be uploaded. The platform end detection result output data comprises: data state, detection item, production place, product name, product classification, detection result, detection unit, detected unit, instrument number, sample number, qualified or not, production unit, detection time and data uploading time. In this embodiment, as shown in fig. 10, after the monitoring control module performs information determination, the item of the relevant index in the detection item information in the non-conformity detection parameter configuration module may be marked and reminded in red, as shown in the block.
Further, this embodiment also provides a multi-field integrated fast screening application system, including: the food quality monitoring platform is arranged at the monitoring end, the online unit is arranged at the field detection end, and the rapid measurement instrument is arranged at the field detection end; the food quality supervision platform comprises a product classification module, a detection parameter configuration module, a region information module, an organization structure personnel information module, a field detection environment information module, a detection equipment basic data module, a platform display control module and a monitoring control module; the online unit includes: the device comprises a user and authority management module, a data multilevel sharing control module, an equipment operation management maintenance module, an automatic data acquisition service module, an inquiry condition analysis setting module, an automatic data acquisition identification module, a detection result data output unit and an information generation and release module.
Further, in this embodiment, the food quality supervision platform further includes an authority role configuration module and an e-government information module; the authority role configuration module is used for configuring user authority information corresponding to the food quality supervision platform and the online unit, and is matched with the organizational structure personnel information module and the user and authority management module to provide use authority service for each user in the food quality supervision platform and the online unit; the online unit further includes: the system comprises a report and report statistical analysis module for printing and outputting reports and reports, an abnormal data self-checking and filtering module for performing abnormal capture and automatic filtering on non-digital detection results generated due to poor line contact and the like, and an online end data monitoring and monitoring module. Further, in this embodiment, the multi-domain integrated fast screening application system is a comprehensive food quality safety fast detection and supervision platform, and is required to meet the requirements of customizing and processing real-time information and support feedback of filtered information; the application of the desktop computer and the data application of the mobile detection equipment are provided. Therefore, in the design of the architecture, the relative independence between layers and the normalization of interfaces are required to be ensured, so that the core service modules can be shared to the maximum extent.
As shown in fig. 11 and 12, (1) data plane: as an important component of the comprehensive database, classified storage, effective management and dynamic update of data such as detection equipment data, detection result data, detected food variety data, detection acquisition and monitoring data, platform control management and the like are emphasized; meanwhile, the system is shared with the collected information such as basic equipment, organization structure personnel information, field detection environment data, electronic government affairs and the like.
(2) The application level is as follows: the method comprises the steps of automatic data acquisition service, automatic data acquisition identification, abnormal data self-inspection filtering, data monitoring and control, monitoring overproof filtering processing, data multilevel sharing control, equipment operation management maintenance, parameter control management maintenance, detection result data output, report drawing statistical analysis, auxiliary information management control and application display analysis.
(3) Man-machine interaction layer
A B/S structure is mainly adopted, man-machine interaction is realized through an information service network, and system management and use control of food monitoring personnel at all levels are realized through an application portal of unified authority management.
Through the configuration of each hierarchy, data is firstly collected through detection equipment and transmitted to an online software database. The online software combines the detection data with identification information (basic equipment information, regional information and organization structure) and transmits the combination to the system platform database. And the system platform displays and statistically analyzes the data and displays the data on the platform. The platform mainly transmits basic setting information classification (tachymeter, product classification, detection unit, detected unit and detection item) to the online software, the detection equipment transmits detection data to the online software, and the online software combines the detection information with the filled basic information and transmits the detection information to the platform software. And the system platform processes and displays the data transmitted by the online software.
Further, in this embodiment, the online unit is implemented by online software on the detection end host for connecting the system platform and the rapid test device, and the hardware device and the information system are automatically linked by the online software, so that data can be automatically uploaded. The data that upload can't the later stage manual modification, and only possess the instrument of fixed ID can carry out the information upload, and bind with the operation object, can guarantee the authenticity of detected data. The system can perform statistical analysis, monitoring and early warning and other processing on the data after uploading, can derive word and excel reports, shares the data, and forms a complete inspection and detection system as a data basis of a quality safety supervision platform, a monitoring and early warning platform, a geographic information management platform and other platforms.
Further, in this embodiment, the following data transmission method is adopted:
detection equipment → online software → food quality supervision informatization platform
(1) Online software < = > instrument:
the online software is connected with the instrument through a USB data line or an RS232 serial port data line for communication, test data obtained after experiments are completed are transmitted to a data layer of the online software through the connected data line by a physical layer, the software displays the test data on an application layer for showing to a user by reading data in a database, and transmission and showing of the test data from a hardware device physical layer to an online software man-machine interaction layer are achieved.
(2) Online software < = > network system platform:
when a user uploads data from online software, the software firstly extracts detection data from a software data layer, each piece of detection data generates a data stream, the data is transmitted to a specified receiving page of a network platform from the software data layer through an http transmission protocol, the page receives the data streams, generates a corresponding xml format text file after analyzing the data, and reads the data to a network platform database after a program reads the xml file. When the user accesses the network platform, the program reads the uploaded data from the database to the platform page and displays the data to the user, and interaction of the data from the online software to the network platform is completed.
The device sets unique instrument identification ID before leaving the factory, the on-line software can identify the built-in ID of each instrument, the hardware device and the information platform are automatically linked, and data can be automatically uploaded. The instrument ID is bound with the operation object in the information platform, and only the information of the fixed instrument can be received and corresponds to the bound object. After receiving, the received detection data can be processed in an informationized way, such as being edited into a statistical report form and being used as a data base of a quality safety supervision platform, a monitoring and early warning platform, a geographic information management platform and the like.
As shown in fig. 10, in the basic information synchronization process: information corresponding to the unit is filled in parameter settings of "inspection item management", "inspection unit management", and "tachymeter management" on the network platform. In the online software, a user completes the synchronization of information such as online software area information, basic equipment information, sample information, detection places, detected units and the like and a network platform through synchronous operation.
During the experimental data acquisition: after the user finishes the experiment, the obtained experimental data is transmitted to the online software by the instrument and written into the online software database to become the data detection information of the online software.
In the process of uploading the detection data: and uploading the experimental data measured by the instrument to a network platform by a user through online software. And carrying out instrument identification through the ID built in the instrument, linking the ID with an operation object through software, and carrying out identity confirmation in the data transmission process.
The above are preferred embodiments of the present invention, and all changes made according to the technical scheme of the present invention that produce functional effects do not exceed the scope of the technical scheme of the present invention belong to the protection scope of the present invention.

Claims (7)

1. A multi-field comprehensive fast screening method is characterized by comprising the following steps:
step S1: the method comprises the following steps that a supervisor sets product classification information through a product classification module in a food quality supervision platform;
step S2: setting detection item information through a detection parameter configuration module in the food quality supervision platform;
step S3: setting detected unit information and detected unit information through an area information module, an organization structure personnel information module and a field detection environment information module in the food quality supervision platform;
step S4: configuring detection instrument information and detection unit information through a detection equipment basic data module, the region information module and the organizational structure personnel information module in the food quality supervision platform;
step S5: the method comprises the steps that detection personnel input organization structure personnel information through a user and a right management module in an online unit of a detection site, set data synchronization address information through a data multistage sharing control module, an equipment operation management maintenance module and an automatic data acquisition service module in the online unit, and carry out data synchronization on the online unit and a food quality supervision platform so as to obtain information corresponding to each module in the food quality supervision platform;
step S6: the detection personnel sets the detection acquisition configuration information of the detected sample through the query condition analysis setting module in the online unit, and measures the sample through the data acquisition automatic identification module in the online unit by a quick measurement instrument matched with the data synchronous address information to obtain the detection item information;
step S7: a detection result data output unit in the online unit receives the detection item information acquired by the data acquisition automatic identification module, and displays online end detection result output data through an information generation and release module in the online unit;
step S8: the detection personnel upload the detection result output data to the food quality supervision platform through the data multistage sharing control module in the online unit; a platform display control module in the food quality supervision platform receives the detection result output data, combines the detection item information in the detection parameter configuration module, judges the information through a monitoring control module in the food quality supervision platform, outputs the platform end detection result output data and prompts the detection result;
wherein the detecting instrument information includes: detecting and matching the number ID of the tachymeter with the model of the tachymeter, wherein the number ID of the tachymeter is unique; the tachymeter model includes: GTYN-HT 8A; the configuration of the detection instrument information and the detection unit information includes: adding detection instrument information matched with the detection unit information, modifying the detection instrument information matched with the detection unit information and deleting the detection instrument information matched with the detection unit information;
an application system of a multi-field comprehensive fast screening method comprises the following steps: the food quality monitoring platform is arranged at the monitoring end, the online unit is arranged at the field detection end, and the rapid measurement instrument is arranged at the field detection end; the food quality supervision platform comprises a product classification module, a detection parameter configuration module, a region information module, an organization structure personnel information module, a field detection environment information module, a detection equipment basic data module, a platform display control module and a monitoring control module; the online unit includes: the system comprises a user and authority management module, a data multilevel sharing control module, an equipment operation management maintenance module, a data automatic acquisition service module, an inquiry condition analysis setting module, a data acquisition automatic identification module, a detection result data output unit and an information generation and release module;
the food quality supervision platform further comprises an authority role configuration module and an electronic government affair information module; the authority role configuration module is used for configuring the food quality supervision platform and user authority information corresponding to the online unit and is matched with the organizational structure personnel information module and the user and authority management module; the online unit further includes: the report and report statistical analysis module is used for printing and outputting reports and reports, the abnormal data self-checking and filtering module and the online end data monitoring and monitoring module.
2. The multi-domain integrated fast screening method of claim 1, wherein the product classification information comprises: product type and product number; the product categories include: edible fungi, miscellaneous grains, tea, beans, melons, fruits, evergreen fruit trees herbs, evergreen fruit trees vines, evergreen fruit trees polymeric fruits, green leaf vegetables, evergreen fruit trees citrus fruits, mustard vegetables, evergreen fruit trees pome fruits and evergreen ancient trees litchi fruits; setting product classification information by the product classification module includes: adding new product classification information, modifying product classification information and deleting product classification information.
3. The multi-domain integrated fast screening method of claim 1, wherein the detection project information comprises: detecting items and item qualification indexes; the detection items include: pesticide residues, copper, organic phenol, cadmium, nitrate, sodium formaldehyde sulfoxylate, amino acid nitrogen, peroxide value, malonaldehyde, salt iodine, sesame oil, hydrogen peroxide, borax, protein, arsenic and saccharin sodium; the detection parameter configuration module is used for setting detection item information and comprises the following steps: adding detection item information, modifying detection item information, deleting detection item information, setting qualified indexes of items and automatically sequencing.
4. The multi-domain integrated fast screening method of claim 1, wherein the detection unit information comprises: detecting the name of a unit, the location of the detecting unit, a contact person of the detecting unit and a contact telephone of the detecting unit; the detected unit information includes: the name of the detected unit, the type of the detected unit, the location of the detected unit, the contact person of the detected unit and the contact phone of the detected unit; the detected types include: production bases, farmer markets and wholesale markets; setting the inspection unit information and the inspected unit information through the area information module, the organization structure personnel information module, and the on-site inspection environment information module includes: adding detection unit information, modifying detection unit information and deleting detection unit information, adding detected unit information, modifying detected unit information and deleting detected unit information.
5. The multi-field comprehensive fast screening method according to claim 1, wherein the data synchronization address information includes a communication port matched with a detection instrument, a data uploading address, a sample information address, an area information address, a detection point address, a detected unit address and a file updating address; and determining the number of the tachymeter of the detection instrument through the communication port, wherein the detection instrument corresponds to the unique number of the tachymeter.
6. The multi-domain integrated rapid screening method of claim 1, wherein the configuration information for detecting and collecting the detected sample comprises: sample number, sample category, sample name, sample category, detection time, detector, production unit, detection method, detection standard, production place, hardware serial number, belonged area, detection place, detected unit, detection item, sample number, culture time and color development time.
7. The multi-domain integrated fast screening method of claim 1, wherein the data output by the detection result at the online end comprises: sample number, sample category, sample name, detection standard, hardware serial number, detector, detection time, detection method, production place, affiliated area, detection place, detected unit, production unit, uploading state, ID, project name, detection result, detection unit, detection date and detection time; the platform end detection result output data comprises: data state, detection item, production place, product name, product classification, detection result, detection unit, detected unit, instrument number, sample number, qualified or not, production unit, detection time and data uploading time.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5822068A (en) * 1997-03-10 1998-10-13 Board Of Trustees Operating Michigan State University Non-destructive method and apparatus for detection of fruit and vegetable quality
CN1858784A (en) * 2006-06-08 2006-11-08 上海农业信息有限公司 Safety quick monitoring system and its method for agriculture product quality based on network
CN102749464A (en) * 2012-06-12 2012-10-24 王坤 All-in-one machine for rapidly detecting pesticide residues of agricultural product
CN103048480A (en) * 2012-12-27 2013-04-17 北京智云达科技有限公司 General operation control system of food safety detector
CN103065174A (en) * 2013-01-23 2013-04-24 王坤 General control terminal device for quality speed measuring equipment of agricultural products and integrated method of general control terminal device
CN103886509A (en) * 2014-03-11 2014-06-25 吴建锋 Modern agriculture product quality safety traceability system

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103886439A (en) * 2014-04-11 2014-06-25 博彦网鼎信息技术有限公司 Food safety information management platform and method
CN104700191A (en) * 2014-09-29 2015-06-10 常州市农畜水产品质量监督检验测试中心 Intelligent mobile terminal based agricultural product quality and safety geographic information supervision and management method and system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5822068A (en) * 1997-03-10 1998-10-13 Board Of Trustees Operating Michigan State University Non-destructive method and apparatus for detection of fruit and vegetable quality
CN1858784A (en) * 2006-06-08 2006-11-08 上海农业信息有限公司 Safety quick monitoring system and its method for agriculture product quality based on network
CN102749464A (en) * 2012-06-12 2012-10-24 王坤 All-in-one machine for rapidly detecting pesticide residues of agricultural product
CN103048480A (en) * 2012-12-27 2013-04-17 北京智云达科技有限公司 General operation control system of food safety detector
CN103065174A (en) * 2013-01-23 2013-04-24 王坤 General control terminal device for quality speed measuring equipment of agricultural products and integrated method of general control terminal device
CN103886509A (en) * 2014-03-11 2014-06-25 吴建锋 Modern agriculture product quality safety traceability system

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