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 PDF

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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
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monitoring
data
sample
module
food safety
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郭华
李磊
张权
张念恒
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Guizhou Center For Disease Control And Prevention
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Guizhou Center For Disease Control And Prevention
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Priority to CN201910447541.1A priority Critical patent/CN110119908A/en
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    • 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
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462Approximate or statistical queries
    • 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
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • 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
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • 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
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06314Calendaring for a resource
    • 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
    • G06Q10/10Office automation; Time management
    • G06Q10/103Workflow collaboration or project management
    • 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

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

A kind of food safety risk supervision physicochemical data analysis system
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.
CN201910447541.1A 2019-05-27 2019-05-27 A kind of food safety risk supervision physicochemical data analysis system Pending CN110119908A (en)

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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
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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
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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

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Application publication date: 20190813