CN110119908A - A kind of food safety risk supervision physicochemical data analysis system - Google Patents
A kind of food safety risk supervision physicochemical data analysis system Download PDFInfo
- Publication number
- CN110119908A CN110119908A CN201910447541.1A CN201910447541A CN110119908A CN 110119908 A CN110119908 A CN 110119908A CN 201910447541 A CN201910447541 A CN 201910447541A CN 110119908 A CN110119908 A CN 110119908A
- Authority
- CN
- China
- Prior art keywords
- monitoring
- data
- sample
- module
- food safety
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06314—Calendaring for a resource
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Abstract
The present invention discloses a kind of food safety risk supervision physicochemical data analysis system, includes: monitoring task module, monitoring sample acquisition module, monitoring sample detection module, monitoring data reporting module, Analysis on monitoring data warning module;Wherein monitoring task module provides the distribution of state food security risk monitoring task, feedback, progress chasing;It monitors sample monitoring module and information record in sample collection process, data positioning is provided;Datamation during sample monitoring module provides sample survey is monitored to handle;Monitoring data reporting module provides monitoring result and reports, audits, verifies;Analysis on monitoring data early warning provides dynamic analysis report, abnormal data early warning and alert.The detection inspection data management system can effectively realize the intelligence that data generate in the data management processes of food safety risk supervision standardization, the automation of data processing, data trace entirely by the setting of reasonable module, and human cost is effectively reduced, raises the management level.
Description
Technical field
The present invention relates to technical field of food safety more particularly to a kind of food safety risk supervision physicochemical data analysis systems
System.
Background technique
State food security risk assessment center as the mechanism for undertaking state food security risk assessment, monitoring, early warning,
It is issued per year to mechanisms such as each provincial food safety risk supervision platform, food safety monitoring at different levels point, Sentinel point hospitals, base
Food Risk Monitoring plan, mainly covers: chemical pollutant data, microbiological data, food origin disease data, radioactive pollution
The contents such as data;The food Risk Monitoring plan notice that Guizhou Province is issued according to country every year combines actual conditions to formulate itself
Food Risk Monitoring plan, and be issued to executing agencies at different levels step by step, covering scope include 9 cities and counties, the whole province, 88 districts, big
The departments such as partial hospital, it is annual to acquire the thousands of parts of sample.From 2010 so far since accumulation report more than 230,000 item of monitoring data.
Other than the part monitoring result reported to national Disease Control and Prevention Center, a large amount of basic datas are stayed with hand-written papery version
It deposits, or there are in PC in the form of excle/word.With the continuous accumulation of portfolio, Various types of data is every all to be carried out
Magnanimity increase, this traditional management mode gradually shows deficiency in the following aspects:
1. lacking uniform data administrative standard, cause to produce data barrier between constituent parts, each region, be formed one by one
Actual " information island " cannot achieve the transformation from " data are big " to " big data ", reduce the availability of data;
2. the fragmentation of data stores, aggregation of data management difficulty is on the one hand increased, loss of data is on the other hand made
Or leaking data risk greatly increases;
3. lacking unified information system management platform, it can not achieve the interaction of data, summarize, so that food Risk Monitoring is led
Domain data analysis, Data Mining, information sharing, in terms of develop slowly.
4. the information-based and standardized backwardness of data has also gradually dragged slowly food Risk Monitoring field to realize information-based become
Leather, transformation management mode, the work such as raise the management level development.
Therefore, this kind of be particularly important is solved the problems, such as.
Summary of the invention
In view of the above-mentioned problems, the present invention provides a kind of food safety risk supervision physicochemical data analysis system, the detection
Inspection data management system can effectively be realized in the data management processes of food safety risk supervision by the setting of reasonable module
The intelligence that the standardization of data generation, the automation of data processing, data trace entirely is effectively reduced human cost, improves pipe
Reason is horizontal.
In order to realize above-mentioned technical proposal, the present invention provides a kind of analyses of food safety risk supervision physicochemical data to be
System includes:
Monitoring task management module: by the annual food safety risk supervision plan that issues of country according to monitoring points at different levels by
Layer is issued, and each monitoring point can receive sampling task quantity, the deadline, the sampling frequency, monitoring project type, report day
Phase information, and can be fed back according to oneself actual conditions, workload is issued as itself can not undertake, then feeds back to upper level
Monitoring point;
It monitors sampling pipe and manages module: data are obtained from monitoring task management module after reception task, according to prison
Survey scheme carries out sample collecting work, records sampling position, acquisition people, acquisition date, sample size, acquisition mode, sample in real time
Product type information, the automatic GPS information for obtaining sample collecting location;
It monitors sample survey management module: obtaining data from monitoring sample acquisition module after sample acquisition is completed, press
It tests according to Food Inspection standard, instrument used in records tests process, reagent consumptive material, Check-Out Time, Quality Control means, inspection
Personnel are tested, experimental data progress analytic operation generation original record is obtained and finally quotes result;
Monitoring data report management module: obtaining number from monitoring sample survey management module after sample survey completion
According to being summarized according to monitoring point, reported according to season, sample monitoring data are reported to upper level monitoring point and are examined
Core, as data loading, audit are let pass not retract by then data and be not put in storage if for audit clearance;
Analysis on monitoring data management module: acquisition data are for statistical analysis from storage data after data loading,
Research judgement is carried out to the factor that may cause food safety affair using correlation analysis, and inputs managerial integration.
Further improvement lies in that: in the monitoring task management module, carry out in monitoring process by each task into
Degree is updated in real time, if it is more than not receive on 2 working days that mission bit stream, which is issued to monitoring point, backstage short message server will
Automatically it is prompted to monitoring point responsible person push note;If more than 10 working days do not receive, system will receive automatically.
Further improvement lies in that: in monitoring sampling pipe reason module, backstage will be automatically to hits when sampling
According to integrality and logicality verified, such as sample message whether comprehensively, whether the method for sampling correct, time and attendance
Whether match.
Further improvement lies in that: in the monitoring sample survey management module, instrument data automatic collection can be carried out,
And support Duplicate Samples, standard sample, repeating sample, blank sample, standard curve Quality Control means, it whether is more than national standard to inspection result
Determine and exceeded sample is reminded.
Further improvement lies in that: it is reported in management module in the monitoring data, higher level monitoring point is in audit monitoring result
When can recall according to sample and check task scheduling, sample acquisition, checkout procedure data, and automatic pass-through rule can be set.
Further improvement lies in that: in Analysis on monitoring data management module, utilize Jscript scripting language customized graphics
Report utilizes two-way analysis of variance, comentropy, the food-safe influencing factors analysis of related coefficient algorithm.
It is supervised the beneficial effects of the present invention are: the present invention can effectively promote food safety risk by the setting of reasonable module
Measured data manages automatic degree: reporting from monitoring mission dispatching to monitoring result and realizes Life cycle tracking, improves data
Integrality and tractability;Each link data acquisition, typing, audit all must comply with the food safety risk prison that country issues
Policy paper is superintended and directed, the standardization degree of data is improved, enhances the availability of data, historical data is carried out according to new standard
Integration;The food safety risk supervision database for covering overall process is established, data analysis, trending early warning correlative study can be carried out
Work, for food safety management, department provides decision recommendation.
Detailed description of the invention
Fig. 1 is system construction drawing of the invention.
Specific embodiment
In order to deepen the understanding of the present invention, the present invention is further described below in conjunction with embodiment, the present embodiment
For explaining only the invention, it is not intended to limit the scope of the present invention..
According to Fig. 1, a kind of food safety risk supervision physicochemical data analysis system is present embodiments provided, including
Have:
Monitoring task management module: by the annual food safety risk supervision plan that issues of country according to monitoring points at different levels by
Layer is issued, and each monitoring point can receive sampling task quantity, the deadline, the sampling frequency, monitoring project type, report day
Phase information, and can be fed back according to oneself actual conditions, workload is issued as itself can not undertake, then feeds back to upper level
Monitoring point;
It monitors sampling pipe and manages module: data are obtained from monitoring task management module after reception task, according to prison
Survey scheme carries out sample collecting work, records sampling position, acquisition people, acquisition date, sample size, acquisition mode, sample in real time
Product type information, the automatic GPS information for obtaining sample collecting location;
It monitors sample survey management module: obtaining data from monitoring sample acquisition module after sample acquisition is completed, press
It tests according to Food Inspection standard, instrument used in records tests process, reagent consumptive material, Check-Out Time, Quality Control means, inspection
Personnel are tested, experimental data progress analytic operation generation original record is obtained and finally quotes result;
Monitoring data report management module: obtaining number from monitoring sample survey management module after sample survey completion
According to being summarized according to monitoring point, reported according to season, sample monitoring data are reported to upper level monitoring point and are examined
Core, as data loading, audit are let pass not retract by then data and be not put in storage if for audit clearance;
Analysis on monitoring data management module: acquisition data are for statistical analysis from storage data after data loading,
Research judgement is carried out to the factor that may cause food safety affair using correlation analysis, and inputs managerial integration.
In the monitoring task management module, carries out in monitoring process and carry out the progress of each task in real time more
Newly, if it is more than not receive on 2 working days that mission bit stream, which is issued to monitoring point, backstage short message server will be born to monitoring point automatically
The prompt of duty personnel's push note;If more than 10 working days do not receive, system will receive automatically.It is acquired in the monitoring sample
In management module, backstage will automatically be verified the integrality of sampled data and logicality when sampling, as sample message whether
Comprehensively, whether the method for sampling correct, whether time and attendance match.It, can in the monitoring sample survey management module
To carry out instrument data automatic collection, and support Duplicate Samples, standard sample, repeating sample, blank sample, standard curve Quality Control means, it is right
Whether inspection result is more than that national standard determine and reminded exceeded sample.Management is reported in the monitoring data
In module, higher level monitoring point can recall when auditing monitoring result according to sample to be checked task scheduling, sample acquisition, examined
Number of passes evidence, and automatic pass-through rule can be set.It is fixed using Jscript scripting language in Analysis on monitoring data management module
Graphical report is made, two-way analysis of variance, comentropy, the food-safe influencing factors analysis of related coefficient algorithm are utilized.
When monitoring plan is formulated, according to monitoring task category, source, the place of production, date received, the information such as detection project,
Establish unified coding standard.Design and development coding generate software systems, and the unique identities mark of sample is established according to coding standard
Know, sample monitoring result is associated with coding, forms complete one-to-one master data information word.Task Progress tracking, sample
Product acquisition, sample detection, result, which report, to be all associated by this information word;
Monitoring task can be distributed by system by the monitoring point of different stage step by step, and specific ways of distribution is as follows:
1) monitoring plan is distributed to each provincial monitoring point by state food Risk Monitoring center:
2) task is distributed to each city-level monitoring point by each provincial monitoring point;
3) task is distributed to each district rank monitoring point by each city-level monitoring point.
After monitoring task distribution, it (includes: sample acquisition, inspection that each monitoring point will carry out monitoring according to schedule
Test, and result is reported before the deadline.All work are in accordance with task to carry out, should after data report
Task status is " having reported " and reports related monitoring data, and after data pass through by multistage auditing, the task is complete
At status modifier is " clearance ";It is not still " clearance " when task has had been subjected to Late Finish Date state, system will be marked
Note is " extension ".
The task execution situation for checking each region, each monitoring point that management personnels at different levels can be implemented by system,
And statistical report form is generated for analysis management.
Sample acquisition: monitoring personnel will execute in strict accordance with annual forest monitoring plan, foundation sample plan the defined time,
Sample as defined in sampling element acquisition plan, and the record of sample message is carried out in systems, service background is provided with sample and adopts
Collect data dictionary to be responsible for carrying out completeness check to acquisition data.When encountering force majeure causes sample plan that cannot implement,
Sample collector should in time in systems report this information, and system will send this information to automatically administrative staff, allow it
Judging whether to need to adjust monitoring plan or is terminating sampling.
Sample survey: the technical body for undertaking supervision and inspection work should have Food Inspection mechanism qualification certification condition, have
There is the ability that item-test is monitored according to national standard and handbook requirement, it in principle should be according to the national rule in relation to certification and accreditation
Surely qualification certification is obtained.System will be for the checkout procedure of inspection body, inspection data, progress integrated management;Tracking in real time
To the monitoring progress of the sample, and to examination criteria, testing staff used in sample, detector by authorization
Device equipment running status is tracked, and the original record that can directly have access to inspection body if necessary is checked.
Data report: setting up food Risk Monitoring data multilevel audit mode, (being defaulted as three-level), each district monitoring
The monitoring data that point reports have to the confirmation by city-level monitoring point and provincial monitoring point, can formally be let pass.Work as prison
Survey result it is exceeded or for it is exceeded when, system by automatic trigger check remind, it is desirable that the sample is checked in higher level monitoring point,
The original record for having access to out the sample simultaneously is examined for review ginseng;
In system workflow management process, other than the examination & approval of the three-level of result, system is also supported to recall function, the function
Energy main operational principle is that can be retracted into next node there are no before audit completion after data submission is completed
One stage.
Data analysis management: two indexs are primarily upon:
1. leading to the impact factor that food safety risk supervision is exceeded, using one-way analysis of variance (one-way
ANOVA) algorithm is studied individually may cause the exceeded factor of result, may be led using two-way analysis of variance to multiple
The factor for causing result exceeded is studied;
2. being predicted using the food-safe risk of multiple linear regression mode, then carried out if any linear growth trend pre-
Survey early warning.
The basic principles, main features and advantages of the invention have been shown and described above.The technical staff of the industry should
Understand, the present invention is not limited to the above embodiments, and the above embodiments and description only describe originals of the invention
Reason, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes and improvements
It all fall within the protetion scope of the claimed invention.The claimed scope of the invention is by appended claims and its equivalent circle
It is fixed.
Claims (6)
1. a kind of food safety risk supervision physicochemical data analysis system, which is characterized in that include:
Monitoring task management module be used to provide state food security risk monitoring task distribution, feedback, progress chasing will be national
The annual food safety risk supervision plan issued is successively issued according to monitoring points at different levels, and each monitoring point can receive sampling
Task quantity, the sampling frequency, monitoring project type, reports date information at the deadline, and can according to oneself actual conditions into
Row feedback, issues workload as itself can not undertake, then feeds back to upper level monitoring point;
Monitoring sampling pipe reason module is used to provide in sample collection process information record, data positioning, the task of reception it
Data are obtained from monitoring task management module afterwards, carry out sample collecting work according to monitoring scheme, sampling position is recorded in real time, adopts
Collect people, acquisition date, sample size, acquisition mode, sample type information, the automatic GPS information for obtaining sample collecting location;
Datamation is handled during monitoring sample survey management module is used to provide sample survey, in sample acquisition completion
Data are obtained from monitoring sample acquisition module afterwards, are tested according to Food Inspection standard, instrument used in records tests process
Device, reagent consumptive material, Check-Out Time, Quality Control means, reviewer carry out analytic operation generation original record to experimental data and obtain
Finally quote result;
Monitoring data report management module and report, audit, verify for providing monitoring result, from prison after sample survey completion
Sample inspection management module obtains data, is summarized according to monitoring point, is reported according to season, by sample monitoring data
It reports to upper level monitoring point to be audited, as data loading, audit are let pass and do not retracted by then data if for audit clearance
It is not put in storage;
Analysis on monitoring data management module is used to provide dynamic analysis report, abnormal data early warning and alert, after data loading
From storage data in obtain data it is for statistical analysis, using correlation analysis to may cause food safety affair because
Element carries out research judgement, and inputs managerial integration.
2. a kind of food safety risk supervision physicochemical data analysis system according to claim 1, it is characterised in that: in institute
It states in monitoring task management module, carries out and updated the progress of each task in real time in monitoring process, if mission bit stream
Being issued to monitoring point is more than not receive on 2 working days, and backstage short message server will push to monitoring point responsible person short automatically
Letter prompt;If more than 10 working days do not receive, system will receive automatically.
3. a kind of food safety risk supervision physicochemical data analysis system according to claim 1, it is characterised in that: in institute
It states in monitoring sampling pipe reason module, backstage will automatically verify the integrality of sampled data and logicality when sampling,
Such as sample message whether comprehensively, whether the method for sampling correct, whether time and attendance match.
4. a kind of food safety risk supervision physicochemical data analysis system according to claim 1, it is characterised in that: in institute
State monitoring sample survey management module in, instrument data automatic collection can be carried out, and support Duplicate Samples, standard sample, repeating sample,
Whether blank sample, standard curve Quality Control means are more than that national standard determine and carried out to exceeded sample to inspection result
It reminds.
5. a kind of food safety risk supervision physicochemical data analysis system according to claim 1, it is characterised in that: in institute
It states monitoring data to report in management module, higher level monitoring point can recall when auditing monitoring result according to sample checks task meter
It draws, sample acquisition, checkout procedure data, and automatic pass-through rule can be set.
6. a kind of food safety risk supervision physicochemical data analysis system according to claim 1, it is characterised in that: supervising
In measured data analysis management module, using Jscript scripting language customized graphics report, two-way analysis of variance, letter are utilized
Cease entropy, the food-safe influencing factors analysis of related coefficient algorithm.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910447541.1A CN110119908A (en) | 2019-05-27 | 2019-05-27 | A kind of food safety risk supervision physicochemical data analysis system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910447541.1A CN110119908A (en) | 2019-05-27 | 2019-05-27 | A kind of food safety risk supervision physicochemical data analysis system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110119908A true CN110119908A (en) | 2019-08-13 |
Family
ID=67523335
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910447541.1A Pending CN110119908A (en) | 2019-05-27 | 2019-05-27 | A kind of food safety risk supervision physicochemical data analysis system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110119908A (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110580628A (en) * | 2019-08-17 | 2019-12-17 | 江苏省食品药品监督信息中心 | Electronic tracing integration and risk early warning system and method for food production enterprise |
CN110889651A (en) * | 2019-12-19 | 2020-03-17 | 陈彩虹 | Food safety risk monitoring physicochemical data analysis system |
CN111552775A (en) * | 2020-04-24 | 2020-08-18 | 山东瑞银农业科技有限公司 | Food data processing method and system |
CN111598587A (en) * | 2020-05-18 | 2020-08-28 | 北京博安智联科技有限公司 | Food safety intelligent inspection monitoring management system |
CN113128858A (en) * | 2021-04-16 | 2021-07-16 | 北京金和网络股份有限公司 | Alarm method for catering units |
CN113706178A (en) * | 2021-09-06 | 2021-11-26 | 安徽千北信息科技有限公司 | Product inspection process supervision method |
CN113706021A (en) * | 2021-08-30 | 2021-11-26 | 上汽通用五菱汽车股份有限公司 | Python-based laboratory task management method and system |
CN113762764A (en) * | 2021-09-02 | 2021-12-07 | 南京大学 | Automatic grading and early warning system and method for safety risk of imported food |
CN114492704A (en) * | 2022-01-18 | 2022-05-13 | 国家海洋环境监测中心 | Sample sampling monitoring implementation method based on marine ecological environment monitoring system |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105741216A (en) * | 2016-02-06 | 2016-07-06 | 福州宏泰分析技术有限公司 | Intelligent food quality security supervision system |
CN106092959A (en) * | 2016-06-30 | 2016-11-09 | 上海仪器仪表研究所 | A kind of near-infrared food quality based on cloud platform monitoring system |
CN106651117A (en) * | 2016-10-26 | 2017-05-10 | 中国农业科学院农业质量标准与检测技术研究所 | Method and device for implementing monitoring task in risk monitoring information system |
CN107862447A (en) * | 2017-10-31 | 2018-03-30 | 郑东风 | One kind examines detection Development of intelligent laboratory quality supervision and control system |
CN107967573A (en) * | 2017-12-21 | 2018-04-27 | 河北鸿海环保科技有限公司 | Automated monitor data quality management system and method based on cloud platform |
CN108053224A (en) * | 2017-12-12 | 2018-05-18 | 北京倍肯恒业科技发展股份有限公司 | Food security intelligent measurement monitoring system |
-
2019
- 2019-05-27 CN CN201910447541.1A patent/CN110119908A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105741216A (en) * | 2016-02-06 | 2016-07-06 | 福州宏泰分析技术有限公司 | Intelligent food quality security supervision system |
CN106092959A (en) * | 2016-06-30 | 2016-11-09 | 上海仪器仪表研究所 | A kind of near-infrared food quality based on cloud platform monitoring system |
CN106651117A (en) * | 2016-10-26 | 2017-05-10 | 中国农业科学院农业质量标准与检测技术研究所 | Method and device for implementing monitoring task in risk monitoring information system |
CN107862447A (en) * | 2017-10-31 | 2018-03-30 | 郑东风 | One kind examines detection Development of intelligent laboratory quality supervision and control system |
CN108053224A (en) * | 2017-12-12 | 2018-05-18 | 北京倍肯恒业科技发展股份有限公司 | Food security intelligent measurement monitoring system |
CN107967573A (en) * | 2017-12-21 | 2018-04-27 | 河北鸿海环保科技有限公司 | Automated monitor data quality management system and method based on cloud platform |
Non-Patent Citations (1)
Title |
---|
李磊,等;: "中国食品安全信息交流平台的建立现状分析", 《食品工业》 * |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110580628A (en) * | 2019-08-17 | 2019-12-17 | 江苏省食品药品监督信息中心 | Electronic tracing integration and risk early warning system and method for food production enterprise |
CN110889651A (en) * | 2019-12-19 | 2020-03-17 | 陈彩虹 | Food safety risk monitoring physicochemical data analysis system |
CN111552775A (en) * | 2020-04-24 | 2020-08-18 | 山东瑞银农业科技有限公司 | Food data processing method and system |
CN111552775B (en) * | 2020-04-24 | 2023-11-03 | 上海薄荷健康科技股份有限公司 | Food data processing method and system |
CN111598587A (en) * | 2020-05-18 | 2020-08-28 | 北京博安智联科技有限公司 | Food safety intelligent inspection monitoring management system |
CN113128858A (en) * | 2021-04-16 | 2021-07-16 | 北京金和网络股份有限公司 | Alarm method for catering units |
CN113706021A (en) * | 2021-08-30 | 2021-11-26 | 上汽通用五菱汽车股份有限公司 | Python-based laboratory task management method and system |
CN113762764A (en) * | 2021-09-02 | 2021-12-07 | 南京大学 | Automatic grading and early warning system and method for safety risk of imported food |
CN113762764B (en) * | 2021-09-02 | 2024-04-12 | 南京大学 | Automatic grading and early warning system and method for imported food safety risks |
CN113706178A (en) * | 2021-09-06 | 2021-11-26 | 安徽千北信息科技有限公司 | Product inspection process supervision method |
CN113706178B (en) * | 2021-09-06 | 2024-01-23 | 安徽千北信息科技有限公司 | Supervision method for product inspection process |
CN114492704A (en) * | 2022-01-18 | 2022-05-13 | 国家海洋环境监测中心 | Sample sampling monitoring implementation method based on marine ecological environment monitoring system |
CN114492704B (en) * | 2022-01-18 | 2023-11-03 | 国家海洋环境监测中心 | Sample sampling monitoring implementation method based on marine ecological environment monitoring system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110119908A (en) | A kind of food safety risk supervision physicochemical data analysis system | |
AU2020103340A4 (en) | A Physical and Chemical Data Analysis System for Food Safety Risk Monitoring | |
CN103793859B (en) | A kind of wind power plant operation monitoring and event integrated evaluating method | |
CN110336373A (en) | Photovoltaic power station Information Management System and method | |
KR20140077006A (en) | System and method for inspection imported food based on harmful prediction based | |
CN107798479B (en) | Knowledge management system based on full life cycle integrated knowledge experience information | |
CN114841660B (en) | Enterprise intelligent security management and control cloud platform based on field information | |
Ham et al. | Use of a big data analysis technique for extracting HRA data from event investigation reports based on the Safety-II concept | |
CN112633779B (en) | Method for evaluating reliability of environmental monitoring data | |
Matthews et al. | The radionuclide monitoring system of the Comprehensive Nuclear-Test-Ban Treaty Organisation: from sample to product | |
Safapour et al. | Analysis of cost performance indicators in reconstruction projects: a comparative study of low vs high level damages | |
Sullivan Faith et al. | Text analysis of after action reports to support improved emergency response planning | |
US20200185105A1 (en) | Monitoring quality of pharmaceutical manufacturing sites | |
Rui et al. | Study on safety capacity of chemical industrial park in operation stage | |
Baranzini et al. | Human factors data traceability and analysis in the European Community’s Major Accident Reporting System | |
US20220230106A1 (en) | Systems and methods for asset integrity management and monitoring of safety critical elements | |
CN112529512B (en) | SaaS-based method and platform for improving safety inspection level of transport enterprise carrier | |
CN114298590A (en) | Medical institution hospital infection management quality evaluation system and method | |
Zhou et al. | A hierarchical network modeling method for railway tunnels safety assessment | |
CN111639832B (en) | Elevator information safety management system and method | |
CN103530730A (en) | Supervised object creating and management modeling method of corruption punishment and prevention system | |
Raj et al. | On the Impact of ML use cases on Industrial Data Pipelines | |
Vicêncio et al. | An intelligent predictive maintenance approach based on end-of-line test logfiles in the automotive industry | |
CN105930968A (en) | Passenger line construction risk control and early warning system | |
Bottomley | OHSMS Performance measures that add up |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190813 |