CN115359404A - Food safety supervision system based on edge calculation - Google Patents

Food safety supervision system based on edge calculation Download PDF

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Publication number
CN115359404A
CN115359404A CN202211040750.2A CN202211040750A CN115359404A CN 115359404 A CN115359404 A CN 115359404A CN 202211040750 A CN202211040750 A CN 202211040750A CN 115359404 A CN115359404 A CN 115359404A
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module
food
output end
input
data
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涂晓帆
谢颖基
张雷
胡晓宇
周伟
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Hubei Kunpengxin Technology Co ltd
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Hubei Kunpengxin Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18—Status alarms
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

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  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
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  • General Health & Medical Sciences (AREA)
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  • Psychiatry (AREA)
  • Human Computer Interaction (AREA)
  • Social Psychology (AREA)
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  • Medical Informatics (AREA)
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Abstract

The invention discloses a food safety supervision system based on edge calculation, and particularly relates to the technical field of food safety supervision, wherein the food safety is supervised in a full range through a data acquisition unit, a food processing area is monitored in a video mode at the same time, an obtained video image is analyzed and processed by means of an AI (artificial intelligence) recognition algorithm of edge calculation, redundant data is eliminated, uploading space is saved, whether illegal behaviors exist in personnel is judged according to an analysis result, warning and recording are carried out, all data are uploaded to a public platform, an inspection system is set, the personnel can report and give corresponding rewards when finding supervision problems, and corresponding punishment is carried out on responsible personnel at the same time, so that supervision departments and common staff supervise the food safety in an all-around mode, the purposes of scientific supervision, long-term supervision and real-time supervision are achieved, and the food has the advantages of being capable of checking sources and being capable of pursuing responsibility and being intelligent supervision.

Description

Food safety supervision system based on edge calculation
Technical Field
The invention relates to the technical field of food safety supervision, in particular to a food safety supervision system based on edge calculation.
Background
With the continuous improvement of the living standard of people, people pay more and more attention to food safety problems, in the process of food production and processing, because a whole food chain comprises a plurality of processes of material selection, storage, cleaning, processing and processing, at present, the whole process cannot be well supervised and processed in the whole process in the prior art, the food processing process is generally supervised by a simple video monitoring mode, when the interior of food is deteriorated, or when the equipment for storing food materials is powered off and has abnormal temperature, workers cannot find the food in time, and more unnecessary redundant data exist in the video monitoring, the whole process is uploaded to consume a larger space, the content of the monitoring video cannot be automatically supervised and calculated, so that the food processing personnel cannot point out in time when bad behaviors occur, in addition, even if the audit personnel supervise the monitoring video in the whole time, the purposes of scientific supervision, long-term supervision and real-time supervision are not achieved.
And a visual supervision platform is formed in the whole food chain, which plays an important role in the supervision of food safety, so that the research of a new food safety supervision system based on edge calculation to solve the problems is of great significance.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a food safety supervision system based on edge calculation, and the technical problems to be solved by the invention are as follows: the problems that the whole process of food processing, the processing environment and the safety of food materials cannot be well scientifically monitored, long-acting monitored and monitored in real time in the prior art are solved.
In order to achieve the purpose, the invention provides the following technical scheme: food safety supervisory systems based on edge calculation, including the data acquisition unit, the output of data acquisition unit is connected with video analysis module's input, video analysis module's output and characteristic extraction module's input are connected, the output of characteristic extraction module is connected with action identification module's input, action identification module's output and data contrast module's input are connected, the output of data acquisition unit is connected with data contrast module's input, data contrast module's output and central processing unit's input are connected.
The output of central processing unit is connected with the input of early warning module, warning module and record module, the output of record module is connected with the input of data public notice platform, the output of data public notice platform is connected with the input of a plurality of terminal program, and the output of a plurality of terminal program is connected with the input of anonymous pickup module, the output of anonymous pickup module is connected with the input of examining and verifying the module, the output of examining and verifying the module is connected with the input of central processing unit and data public notice platform.
As a further scheme of the invention: the input ends of the early warning module and the warning module are connected with the output end of the voice warning database.
The voice warning database: the method is used for storing and managing the related prompting phrases and warning phrases.
As a further scheme of the invention: the data acquisition unit is including examining all-in-one morning, incomplete quick detector of farming, handheld all-in-one, food detector, temperature and humidity sensor, smell sensor and internet protocol camera, examine all-in-one morning, incomplete quick detector of farming, handheld all-in-one, food detector, temperature and humidity sensor and smell sensor's output and data contrast module's input and be connected.
As a further scheme of the invention: and the output end of the network camera is connected with the input end of the video analysis module.
The video analysis module adopts an AI recognition algorithm of edge calculation to analyze and process the video image, so as to eliminate redundant video data.
As a further scheme of the invention: the morning detection integrated machine comprises: the system is used for identity verification of people entering and leaving and face temperature measurement.
The odor sensor is: the food smell monitoring device is used for monitoring the smell of food in real time.
The temperature and humidity sensor is characterized in that: the temperature and humidity monitoring system is used for monitoring the temperature and the humidity of a food storage environment in real time.
As a further scheme of the invention: the handheld all-in-one machine comprises: the method is used for collecting food information in a food production field.
The pesticide residue quick detector comprises: the method is used for quickly detecting whether the food contains the components with pesticide residues.
The food detector comprises: the method is used for analyzing and detecting food ingredients.
The invention has the beneficial effects that:
1. the invention carries out the full-range supervision on the food safety through the data acquisition unit, simultaneously carries out the video monitoring on the food processing area, analyzes and processes the obtained video image by relying on the AI recognition algorithm of edge calculation, eliminates redundant data, saves uploading space, judges whether the person has illegal behaviors according to the analysis result, warns and records, uploads all the data to a public display platform, sets an inspection system, ensures that the person can report and give corresponding rewards when finding supervision problems, simultaneously carries out corresponding punishment on responsible persons, ensures that supervision departments and common staff supervise the food safety in an all-round way manner, achieves the purposes of scientific supervision, long-term supervision and real-time supervision, and ensures that the food has sources which can be checked and goes to intelligent supervision which can trace and can be charged.
2. According to the food storage system, the temperature and humidity sensor is used, so that the actual environment of the food can be monitored in real time, the storage state of the food can be conveniently acquired, the problem of abnormity of equipment can be known through the change of the temperature and humidity, the abnormity can be timely reminded, related personnel can conveniently find and process the abnormity in time, and the storage quality of the food is reduced due to the change of the temperature and humidity environment.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Example one
As shown in the figure, the invention provides a food safety supervision system based on edge calculation, which comprises a data acquisition unit, wherein the output end of the data acquisition unit is connected with the input end of a video analysis module, the output end of the video analysis module is connected with the input end of a feature extraction module, the output end of the feature extraction module is connected with the input end of a behavior identification module, the output end of the behavior identification module is connected with the input end of a data comparison module, the output end of the data acquisition unit is connected with the input end of the data comparison module, and the output end of the data comparison module is connected with the input end of a central processing unit.
The output end of the central processing unit is connected with the input ends of the early warning module, the warning module and the recording module, the output end of the recording module is connected with the input end of the data presentation platform, and the data presentation platform is used for realizing visual display of an analysis result, improving the supervision efficiency, effectively reducing the complicated process of manual input, improving the working efficiency and ensuring the accuracy of food safety data.
The input ends of the early warning module and the warning module are connected with the output end of the voice warning database.
Voice alert database: the method is used for storing and managing the related prompting phrases and warning phrases.
The data acquisition unit comprises a morning check integrated machine, a pesticide residue quick detector, a handheld integrated machine, a food detector, a temperature and humidity sensor, an odor sensor and a network camera, video information can be acquired through the network camera, the all-round, no dead angle, all-round all-around shooting scenes, data are reserved and verified, standardized behavior is promoted, meanwhile, the network camera mainly monitors whether a person in a food processing area wears a chef cap, whether the person wears a chef suit and goes on duty, whether a mask is worn, whether smoking behavior exists, whether a mouse appears in a kitchen, whether classification of kitchen garbage and other garbage and whether civilized behavior exists in a real-time environment of food processing, the morning check integrated machine, the pesticide residue quick detector, the handheld integrated machine, the food detector, the output ends of the temperature and humidity sensor and the odor sensor are connected with the input end of a data comparison module.
The output end of the network camera is connected with the input end of the video analysis module.
The video analysis module adopts an AI recognition algorithm of edge calculation to analyze and process the video image so as to eliminate redundant video data.
Morning check integrated machine: the system is used for carrying out identity authentication and facial temperature measurement on people who come in and go out, and is connected with an entrance guard through the morning check all-in-one machine, so that the purposes of coming in and going out detection and attendance checking card punching are achieved, and strangers can be prevented from coming in and going out at the same time.
An odor sensor: the food smell monitoring device is used for monitoring the smell of food in real time.
Temperature and humidity sensor: a save quality that is used for carrying out real-time data's monitoring to the temperature and the humidity degree of food storage environment, also can learn whether equipment has unusual problem through the change of humiture through temperature and humidity sensor, can in time remind to unusual, and the relevant personnel of being convenient for in time discover to handle, reduce because the change of temperature and humidity environment influences food.
The handheld all-in-one machine: the handheld integrated machine is used for collecting food information on a food production site, is convenient to carry by virtue of the small and exquisite design of the handheld integrated machine, can be taken to the food production site for collecting the information, can realize the input and query of the food information at the same time, and ensures the traceability of the food source information.
Pesticide residue quick detector: the method is used for quickly detecting whether the food contains the components with pesticide residues.
The food detector comprises: the method is used for analyzing and detecting food ingredients.
The process of the first embodiment is as follows: the method comprises the steps that firstly, components, environment and food smell of food can be detected through a data acquisition unit, then the detected data are compared through a data comparison module, corresponding data under a normal threshold value are matched, early warning alarm is realized through an early warning module through data information close to the threshold value, meanwhile, alarm is carried out on data exceeding the threshold value through a warning module, food related data are recorded through a recording module and transmitted to a data display platform for displaying, meanwhile, the food processing environment is monitored through a network camera, then the acquired video images are analyzed and processed through a video analysis module by adopting an AI algorithm of edge calculation, and important video features are extracted through a feature extraction module;
and then, the action made by the person is identified through the action identification module, so that the data comparison module judges whether related illegal actions exist, the behavior about to be violated is early-warned through the early warning module, the violation is warned through the warning module, and the recorded and uploaded to the data publicizing platform.
According to the embodiment, the food environment, the ingredients and the smell of the canteen are supervised in the whole range through the pesticide residue quick picking device, the network camera, the video analyzer, the handheld all-in-one machine, the temperature and humidity sensor and the smell sensor, meanwhile, the video monitoring is carried out on the food processing area, the obtained video image is analyzed and processed by depending on the AI identification algorithm of the edge computing device, whether the violation behaviors of people exist or not is judged according to the analysis and processing result, and the warning and the recording are carried out, so that the food supervision system ensures the accuracy, the standardization and the diversification of data by acquiring the multi-aspect actual data of food, and the early warning and the warning effects of food safety can be realized.
Example two
As shown in the figure, the invention provides a food safety supervision system based on edge calculation, which comprises a data acquisition unit, wherein the output end of the data acquisition unit is connected with the input end of a video analysis module, the output end of the video analysis module is connected with the input end of a feature extraction module, the output end of the feature extraction module is connected with the input end of a behavior identification module, the output end of the behavior identification module is connected with the input end of a data comparison module, the output end of the data acquisition unit is connected with the input end of the data comparison module, and the output end of the data comparison module is connected with the input end of a central processing unit.
The output end of the central processing unit is connected with the input ends of the early warning module, the warning module and the recording module, the output end of the recording module is connected with the input end of the data publicizing platform, the output end of the data publicizing platform is connected with the input ends of the plurality of terminal programs, the output ends of the plurality of terminal programs are connected with the input end of the anonymous checking module, the output end of the anonymous checking module is connected with the input end of the auditing module, and the output end of the auditing module is connected with the input ends of the central processing unit and the data publicizing platform.
The input ends of the early warning module and the warning module are connected with the output end of the voice warning database.
Voice alert database: the method is used for storing and managing the related prompting phrases and warning phrases.
The data acquisition unit comprises an integrated machine for morning inspection, a quick pesticide residue inspection device, a handheld integrated machine, a food detector, a temperature and humidity sensor, an odor sensor and a network camera, and the output ends of the integrated machine for morning inspection, the quick pesticide residue inspection device, the handheld integrated machine, the food detector, the temperature and humidity sensor and the odor sensor are connected with the input end of the data comparison module.
The output end of the network camera is connected with the input end of the video analysis module.
The video analysis module adopts an AI recognition algorithm of edge calculation to analyze and process the video image so as to eliminate redundant video data.
Morning check integrated machine: the system is used for identity verification and facial temperature measurement of people entering and leaving the system.
An odor sensor: the food smell monitoring device is used for monitoring the smell of food in real time.
Temperature and humidity sensor: the temperature and humidity monitoring system is used for monitoring the temperature and the humidity of a food storage environment in real time.
The handheld all-in-one machine: the method is used for collecting food information in a food production field.
Pesticide residue quick detector: the method is used for quickly detecting whether the food contains the components with pesticide residues.
The food detector comprises: the method is used for analyzing and detecting the food ingredients.
The process of the second embodiment is as follows: the method comprises the steps that firstly, components, environment and food smell of food can be detected through a data acquisition unit, then the detected data are compared through a data comparison module, corresponding data under a normal threshold value are matched, early warning alarm is realized through an early warning module through data information close to the threshold value, meanwhile, alarm is carried out on data exceeding the threshold value through a warning module, relevant data of the food are recorded through a recording module and transmitted to a data public display platform for public display, meanwhile, the food processing environment is monitored through a network camera, then, a video analysis module is used for analyzing and processing acquired video images through an AI algorithm of edge calculation, and important video features are extracted through a feature extraction module;
then, actions made by personnel are identified through the action identification module, the data comparison module judges whether related illegal actions exist or not, the behavior about to be violated is early-warned through the early-warning module, the violation actions are warned through the warning module and then are recorded and uploaded to the data public presentation platform, then data on the data public presentation platform can be known through a terminal program, the related illegal actions can be reported and uploaded through the anonymous inspection module, then whether related problems exist or not is judged through the auditing module, the fact rewards corresponding personnel, the data public presentation platform is uploaded to responsible personnel, and corresponding punishment is carried out.
The embodiment can monitor the food safety in a full range, can monitor a video image of a food processing area, analyzes and processes the obtained video image by means of an AI (artificial intelligence) recognition algorithm of edge calculation to remove redundant data, saves uploading space, judges whether a person has an illegal behavior according to an analysis processing result, warns and records, discloses the illegal behavior of the person working in a related environment on a platform by an inspection system, ensures that the food processing environment is more transparent, can be checked by a supervisor or other personnel, can report the illegal behavior in time in a video image evidence obtaining mode when finding a supervision problem by a terminal program, and then performs audit judgment on the illegal behavior.
The points to be finally explained are: although the present invention has been described in detail with reference to the general description and the specific embodiments, on the basis of the present invention, the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (6)

1. Food safety supervisory systems based on edge calculation, including data acquisition unit, its characterized in that: the output end of the data acquisition unit is connected with the input end of the video analysis module, the output end of the video analysis module is connected with the input end of the characteristic extraction module, the output end of the characteristic extraction module is connected with the input end of the behavior recognition module, the output end of the behavior recognition module is connected with the input end of the data comparison module, the output end of the data acquisition unit is connected with the input end of the data comparison module, and the output end of the data comparison module is connected with the input end of the central processing unit;
the output of central processing unit is connected with the input of early warning module, warning module and record module, the output of record module is connected with the input of data public notice platform, the output of data public notice platform is connected with the input of a plurality of terminal program, and the output of a plurality of terminal program is connected with the input of anonymous pickup module, the output of anonymous pickup module is connected with the input of examining and verifying the module, the output of examining and verifying the module is connected with the input of central processing unit and data public notice platform.
2. The edge computing-based food safety supervision system according to claim 1, characterized in that: the input ends of the early warning module and the warning module are connected with the output end of the voice warning database;
the voice warning database: the method is used for storing and managing the related prompting phrases and warning phrases.
3. The edge computing-based food safety supervision system according to claim 1, characterized in that: the data acquisition unit comprises an all-in-one machine for morning inspection, a quick pesticide detector, a handheld all-in-one machine, a food detector, a temperature and humidity sensor, an odor sensor and a network camera, wherein the output end of the all-in-one machine for morning inspection, the output end of the quick pesticide detector, the output end of the handheld all-in-one machine, the output end of the food detector, the output end of the temperature and humidity sensor and the output end of the odor sensor are connected with the input end of the data comparison module.
4. An edge computing based food safety supervision system according to claim 3, characterized in that: the output end of the network camera is connected with the input end of the video analysis module;
the video analysis module adopts an AI recognition algorithm of edge calculation to analyze and process the video image, so as to eliminate redundant video data.
5. An edge computing based food safety supervision system according to claim 3, characterized in that: the morning detection integrated machine comprises: the system is used for identity verification and facial temperature measurement of people entering and leaving;
the odor sensor is: the food smell monitoring device is used for monitoring the smell of food in real time;
the temperature and humidity sensor is characterized in that: the temperature and humidity monitoring system is used for monitoring the temperature and the humidity of a food storage environment in real time.
6. The edge computing-based food safety supervision system according to claim 3, characterized in that: the handheld all-in-one machine comprises: the system is used for collecting food information in a food production field;
the pesticide residue quick detector comprises: the method is used for quickly detecting whether the food contains the components of pesticide residues;
the food detector comprises: the method is used for analyzing and detecting food ingredients.
CN202211040750.2A 2022-08-29 2022-08-29 Food safety supervision system based on edge calculation Pending CN115359404A (en)

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Application Number Priority Date Filing Date Title
CN202211040750.2A CN115359404A (en) 2022-08-29 2022-08-29 Food safety supervision system based on edge calculation

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Application Number Priority Date Filing Date Title
CN202211040750.2A CN115359404A (en) 2022-08-29 2022-08-29 Food safety supervision system based on edge calculation

Publications (1)

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CN115359404A true CN115359404A (en) 2022-11-18

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