CN114724332A - Food material safety monitoring system and monitoring method - Google Patents

Food material safety monitoring system and monitoring method Download PDF

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Publication number
CN114724332A
CN114724332A CN202210387149.4A CN202210387149A CN114724332A CN 114724332 A CN114724332 A CN 114724332A CN 202210387149 A CN202210387149 A CN 202210387149A CN 114724332 A CN114724332 A CN 114724332A
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food material
safety
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kitchen
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涂晓帆
谢颖基
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Hubei Kunpengxin Technology Co ltd
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Hubei Kunpengxin Technology Co ltd
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/10—Protecting distributed programs or content, e.g. vending or licensing of copyrighted material ; Digital rights management [DRM]
    • G06F21/107—License processing; Key processing
    • G06F21/1078—Logging; Metering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
    • G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/30—Individual registration on entry or exit not involving the use of a pass
    • G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
    • G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/02—Mechanical actuation
    • G08B13/08—Mechanical actuation by opening, e.g. of door, of window, of drawer, of shutter, of curtain, of blind
    • 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
    • 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
    • G08B21/20—Status alarms responsive to moisture
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
    • G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
    • 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
    • H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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Abstract

The invention discloses a food material safety monitoring system and a monitoring method, which belong to the technical field of food safety. Carry out image evidence and eat material medicine monitoring result through each supervision link to in the kitchen warehouse, eight minutes veterinary drug residues and thirteen minutes pesticide residue detect eating the material to the difference, simultaneously carry out through the internet protocol camera to not wearing chef's cap discernment, kitchen smoking action discernment, do not wear gauze mask discernment, waste classification discernment, do not wear chef's clothes discernment and mouse discernment, and through data analysis unit aassessment safety index, make supervision work not have the intermittent type nature, need not personnel's intervention in a large number, continuously carry out safety monitoring to kitchen warehouse and edible material, reduce and eat material potential safety hazard.

Description

Food material safety monitoring system and monitoring method
Technical Field
The invention belongs to the technical field of food safety, and particularly relates to a food material safety monitoring system and a monitoring method.
Background
Food safety refers to food which is nontoxic and harmless, accords with the existing nutritional requirements, does not cause any acute, subacute or chronic harm to human health, and is a cross-subject field specially discussing the effects of toxic and harmful substances in food on human health according to the definition of food safety, so that the food safety is very important in the process of food processing, storage, sale and the like to ensure the food sanitation and eating safety, reduce the hidden danger of diseases and prevent food poisoning.
At present, the storage environment of the food materials used in the canteens has become an important supervision aspect of food safety problems, most canteens are prone to cause germ breeding, food material deterioration and other problems in the storage process due to the fact that the limitation or supervision of equipment is not in place, and in recent years, most of canteens have food safety problems because food materials with quality problems are cooked, and a large amount of food material deterioration actually occurs in the canteen storage link, so that the monitoring of the storage environment of the canteens food materials becomes a key for improving the food quality and avoiding the food safety problems.
The food nutrition and safety of the canteens are very concerned by parents, and are also the key points of catering food quality supervision, the canteens have the characteristics of stable dining groups, special personnel, wide coverage and the like, the occurrence of poisoning events in schools all the time has great social influence, in addition, parents are also concerned about the quality, nutrition collocation and the like of school meals, so that the food nutrition and safety of the school canteens are very important work contents for government supervision departments, but because of the intermittence of supervision, part of canteens operators often relax the management and control to cause unstable meal quality and bury hidden dangers for school food safety, meanwhile, the supervision mode of canteens of warehouses is not perfect, the phenomenon of theft often occurs, and the current supervision system has fuzzy pictures, cannot accurately monitor personal pictures and abnormal behaviors, and causes certain difficulty for the canteens management work, therefore, a food material safety monitoring system is needed to solve the above problems.
Disclosure of Invention
Technical problem to be solved
In order to overcome the defects of the prior art, the invention provides a food material safety monitoring system and a monitoring method, and solves the problems that due to the monitoring intermittence, part of canteen operators often loose management and control, the quality of meals is unstable, hidden dangers are buried for school food safety, meanwhile, the monitoring mode of canteen warehouses is not perfect enough, theft often occurs, and the current monitoring system is fuzzy in picture, cannot accurately monitor personal pictures and abnormal behaviors, and causes certain difficulty for canteen management work.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides an eat material safety monitoring system, includes central processing unit, central processing unit's input and the output of eating material safety control unit are connected, it is connected with the input of database and data analysis's unit to eat material safety control unit's output, the database is connected with central processing unit both way, central processing unit's input and data analysis unit's output are connected, the input and the output of scene safety control platform of data analysis's unit are connected, the input and the output of central processing unit of scene safety control platform are connected, the output and the output of logging in the control unit of scene safety control platform are connected.
As a further scheme of the invention: the login management unit comprises an identity verification module and a management authentication module.
An identity authentication module: the system is used for carrying out identity verification on personnel entering a canteen warehouse, carrying out access detection in a key instruction mode, a face recognition mode and a face temperature measurement mode, and has an attendance card punching function.
The management authentication module: the identity authentication module is used for adding or deleting personal identity information in the identity authentication module, and the operation can be carried out after the personal identity information is input into the identity authentication module for authentication of an administrator.
As a further scheme of the invention: the scene safety management platform comprises an intelligent detection module, an electricity metering management module, a kitchen window safety detection module and a water immersion detection module.
The intelligent detection module is set as an intelligent temperature and humidity detector and used for monitoring the temperature and the humidity of the detected food material and the environment in real time, and if the detected temperature and the detected humidity exceed or are lower than standard values, an audible and visual alarm is automatically sent out.
The electricity metering management module is set as an intelligent electricity metering socket and used for detecting electric parameter information of electric quantity, current, voltage and power of an electric appliance (load) and collecting data.
The kitchen window safety detection module is set as an intelligent door and window detector and used for monitoring the opening and closing of a door and a window and sending anti-theft alarm information when the door and the window are abnormally opened and closed in a non-working period.
The water logging detection module is set as an intelligent water logging detector and is used for detecting the soaking time of food materials and recording the mark, and the contact of the intelligent water logging detector outputs an alarm signal after being soaked in water and not broken, and transmits the alarm signal to the central processing unit in a wireless transmission mode.
As a further scheme of the invention: the food material safety management unit comprises a food material detection module and a video monitoring module.
Food material detection module: the food material detection device is used for detecting eight-minute veterinary drug residues and thirteen-minute pesticide residues on different food materials and transmitting detection data to the data analysis unit.
The video monitoring module is set to be a plurality of network cameras and used for performing image evidence obtaining on all monitoring links in a kitchen warehouse and transmitting real-time data to the data analysis unit, and the video monitoring module supports the network cameras of the kitchen entry of ONVIF and RTSP protocols.
As a further scheme of the invention: the identification points in the network camera are as follows:
identifying the non-chef cap: the intelligent identification of the same picture without the chef cap identification is supported.
Identifying the kitchen smoking behavior: and the smoking behavior recognition of 1-10 persons on the same picture is supported.
Identifying without wearing a mask: the mask identification method realizes the identification of the mask which is not worn by 1-10 people in the kitchen and supports the identification of masks with various colors.
And (3) garbage classification and identification: and (4) analyzing and alarming kitchen garbage and other unsorted garbage events.
Identifying the clothing of the chef without wearing: and the behavior of not wearing chef clothes is supported for identification.
And (3) mouse identification: and alarming according to the mouse presence and absence behavior.
As a further scheme of the invention: the data analysis unit acquires data information acquired by the scene safety management platform and the food material safety management unit in a WiFi network or GPRS transmission mode.
Collect scene safety control platform and the edible material that edible material detection module acquireed and environmental information, electrical apparatus meter electric information, door and window alarm information, edible material soak time information, animal remedy are remained, pesticide residue to carry out multistage classification:
first-stage classification: and integrating the electricity metering information of the electric appliance and the door and window alarm information and generating an electric power and alarm information report.
And (4) secondary classification: integrating the obtained food materials and environmental information, food material soaking time information, veterinary drug residues and pesticide residues, wherein the corresponding food material safety assessment index represents Gn ═ An: a, b, c and d, wherein An is represented by the nth food material, a is represented by food material environment information, b is represented by food material soaking time information, c is represented by veterinary drug residue information, and d is represented by pesticide residue information.
The method comprises the steps of automatically identifying a person local amplification picture from image information acquired from a network camera, generating character description for basic characteristics of a target, and storing related panoramic pictures, target close-up pictures and characteristic description characters in a database.
As a further scheme of the invention: the database comprises a data input module and a data storage module, wherein the data input module is used for inputting standard values GN of various food material safety evaluation indexes.
A food material safety monitoring method comprises the following steps:
s1, when the food material safety monitoring system needs to be accessed, the identity of people entering the canteen warehouse is verified, access detection is carried out in the modes of key instructions, face recognition and face temperature measurement, personal identity information is added or deleted in the identity authentication module through the management authentication module, and the operation can be carried out after the identity of a manager is input for verification.
S2, secondly, the temperature of material and environment are eaten to being surveyed through intelligent temperature and humidity detector, humidity carries out real time monitoring, if the temperature of surveying, automatically send audible and visual alarm when humidity surpasss or is less than the standard value, detect the electric quantity of electrical apparatus (load) through intelligent electricity meter socket, the electric current, voltage, the electric parameter information of power and gather data, switch through intelligent door and window detector control door and window, send burglar alarm information when non-working period abnormal switch, survey the soak time of eating the material and the mark is stayed in the record through intelligent water logging detector, the contact of intelligent water logging detector is gone out alarm signal after not broken circuit by the water logging, and transmit to central processing unit through wireless transmission' S mode.
S3, food material safety is monitored, eight-minute veterinary drug residues and thirteen-minute pesticide residues on different food materials are detected, detection data are transmitted to the data analysis unit, image evidence obtaining is carried out on all supervision links in a kitchen warehouse, real-time data are transmitted to the data analysis unit, the video monitoring module supports an ONVIF and RTSP protocol post-kitchen entrance network camera, and chef cap recognition, kitchen smoking behavior recognition, mask recognition, garbage classification recognition, chef clothes recognition and mouse recognition are carried out.
S4, with the edible material and the environmental information that scene safety management platform and edible material detection module acquireed, the electrical apparatus information of collecting electricity, door and window alarm information, edible material soak time information, the animal remedy is remained, pesticide residue carries out the centralized collection, and carry out multistage classification, the one-level classification is for integrating electrical apparatus information of collecting electricity and door and window alarm information and generating electric power and alarm information report form, the second grade classification is for edible material and environmental information that will acquire, edible material soak time information, the animal remedy is remained, pesticide residue integrates, the edible material safety assessment index that corresponds expresses Gn ═ An: a, b, c and d, wherein An is represented as the nth food material, a is represented as food material environment information, b is represented as food material soaking time information, c is represented as veterinary drug residue information, d is represented as pesticide residue information, the image information acquired from the network camera is used for automatically identifying a person local amplification picture, a character description is generated for the basic feature of the target, the related panoramic picture, the target close-up picture and the feature description character are stored in a database, and finally An evaluation result is obtained according to the comparison between Gn and Gn.
(III) advantageous effects
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, the results of image evidence obtaining and food material medicine monitoring are carried out on all supervision links in a kitchen warehouse, eight-minute veterinary medicine residues and thirteen-minute pesticide residues on different food materials are detected, meanwhile, chef cap recognition, kitchen smoking behavior recognition, mask recognition, garbage classification recognition, chef clothes recognition and mouse recognition are carried out through a network camera, and safety indexes are evaluated through a data analysis unit, so that the supervision work is free of intermittence, a large amount of human intervention is not needed, safety monitoring is continuously carried out on the kitchen warehouse and the food materials, and potential safety hazards of the food materials are reduced.
2. According to the invention, the temperature and humidity of the detected food material and the environment are monitored in real time through the scene safety management platform, the electric parameter information of the electric quantity, the current, the voltage and the power of an electric appliance (load) is detected and data is acquired, the opening and closing of doors and windows are monitored, anti-theft alarm information is sent out when abnormal opening and closing are carried out in a non-working period, the soaking time of the food material is detected and the trace is recorded, the environment of a kitchen warehouse is fully monitored in real time and alarmed in time, the image information acquired from the network camera is used for automatically identifying local amplification pictures of personnel, text description is generated for basic characteristics of a target, related panoramic pictures, target close-up pictures and characteristic description texts are stored in a database, personal pictures and abnormal behaviors are accurately monitored, the theft phenomenon is avoided, and the difficulty of canteen management work is reduced.
Drawings
FIG. 1 is a schematic block diagram of the system of the present invention.
Detailed Description
The technical solution of the present patent will be described in further detail with reference to the following embodiments.
As shown in the figure, the present invention provides a technical solution: the utility model provides an eat material safety monitoring system, including central processing unit, central processing unit's input and the output of eating material safety control unit are connected, it is connected with the input of database and data analysis's unit to eat material safety control unit's output, the database is connected with central processing unit both way, central processing unit's input and data analysis unit's output are connected, data analysis's unit's input and scene safety control platform's output are connected, scene safety control platform's input and central processing unit's output are connected, scene safety control platform's output and the output of logging in the management unit are connected.
The login management unit comprises an identity verification module and a management authentication module.
An identity authentication module: the system is used for carrying out identity verification on personnel entering a canteen warehouse, carrying out access detection in a key instruction mode, a face recognition mode and a face temperature measurement mode, and has an attendance card punching function.
The management authentication module: the identity authentication module is used for adding or deleting personal identity information in the identity authentication module, and the operation can be carried out after the personal identity information is input into the identity authentication module for authentication of an administrator.
The scene safety management platform comprises an intelligent detection module, an electricity metering management module, a kitchen window safety detection module and a water immersion detection module.
The intelligent detection module is set as an intelligent temperature and humidity detector and used for monitoring the temperature and the humidity of the detected food materials and the environment in real time, and if the detected temperature and the detected humidity exceed or are lower than standard values, an audible and visual alarm is automatically sent out.
The electricity metering management module is set as an intelligent electricity metering socket and used for detecting electric parameter information of electric quantity, current, voltage and power of an electric appliance (load) and collecting data.
The kitchen window safety detection module is set as an intelligent door and window detector and used for monitoring the opening and closing of a door and a window and sending anti-theft alarm information when the door and the window are abnormally opened and closed in a non-working period.
The water logging detection module is set as an intelligent water logging detector and is used for detecting the soaking time of food materials and recording and leaving marks, and the contact of the intelligent water logging detector outputs an alarm signal after being not broken by water logging and transmits the alarm signal to the central processing unit in a wireless transmission mode.
The food material safety management unit comprises a food material detection module and a video monitoring module.
Food material detection module: the food material detection device is used for detecting eight-minute veterinary drug residues and thirteen-minute pesticide residues on different food materials and transmitting detection data to the data analysis unit.
The video monitoring module is set to be a plurality of network cameras and used for performing image evidence obtaining on all monitoring links in a kitchen warehouse and transmitting real-time data to the data analysis unit, and the video monitoring module supports the network cameras of the kitchen entry with ONVIF and RTSP protocols.
The identification points in the network camera are as follows:
identifying the non-chef cap: the intelligent identification of the same picture without the chef cap identification is supported.
Identifying the kitchen smoking behavior: and the smoking behavior recognition of 1-10 persons on the same picture is supported.
Identifying without wearing a mask: the mask identification method realizes the identification of 1-10 people in the kitchen without wearing the mask and supports the identification of masks with various colors.
And (3) garbage classification and identification: and (4) analyzing and alarming kitchen garbage and other unsorted garbage events.
Identifying the clothing of the chef without wearing: and the behavior of not wearing chef clothes is supported for identification.
And (3) mouse identification: and alarming according to the mouse presence and absence behavior.
The data analysis unit acquires the data information acquired by the scene safety management platform and the food material safety management unit in a WiFi network or GPRS transmission mode.
Collect scene safety control platform and the edible material that edible material detection module acquireed and environmental information, electrical apparatus meter electric information, door and window alarm information, edible material soak time information, animal remedy are remained, pesticide residue to carry out multistage classification:
first-stage classification: and integrating the electricity metering information of the electric appliance and the door and window alarm information and generating an electric power and alarm information report.
And (4) secondary classification: integrating the obtained food materials and environmental information, food material soaking time information, veterinary drug residues and pesticide residues, wherein the corresponding food material safety assessment index represents Gn ═ An: a, b, c and d, wherein An is represented by the nth food material, a is represented by food material environment information, b is represented by food material soaking time information, c is represented by veterinary drug residue information, and d is represented by pesticide residue information.
The method comprises the steps of automatically identifying a person local amplification picture from image information acquired from a network camera, generating character description for basic characteristics of a target, and storing related panoramic pictures, target close-up pictures and characteristic description characters in a database.
The database comprises a data input module and a data storage module, wherein the data input module is used for inputting standard values GN of various food material safety evaluation indexes.
A food material safety monitoring method comprises the following steps:
s1, when the food material safety monitoring system needs to be entered, identity verification is carried out on personnel entering a canteen warehouse, entering and exiting detection is carried out through key instructions, face recognition and face temperature measurement, personal identity information is added or deleted in the identity authentication module through the management authentication module, and operation can be carried out after identity verification of an administrator is input.
S2, secondly, through the temperature of intelligence temperature and humidity detector to being surveyed edible material and environment, humidity carries out real time monitoring, if the temperature of surveying, automatically send audible and visual alarm when humidity exceedes or is less than the standard value, detect the electric quantity of electrical apparatus (load) through intelligent electricity metering socket, and the electric current, voltage, the electric parameter information of power and gather data, switch through intelligent door and window detector control door and window, send alarm information of guarding against theft when the unusual switch of non-working period, survey the soak time of edible material and the record through intelligent water logging detector and stay the trace, the contact of intelligence water logging detector is gone out alarm signal after not broken circuit by the water logging, and transmit to central processing unit through wireless transmission' S mode.
S3, monitoring food safety, detecting eight-minute veterinary drug residues and thirteen-minute pesticide residues on different food materials, transmitting detection data to a data analysis unit, performing image forensics on all monitoring links in a kitchen warehouse, transmitting real-time data to the data analysis unit, supporting an ONVIF (online visual interface) and RTSP (real time streaming protocol) post-kitchen entrance network camera by a video monitoring module, and performing chef cap recognition, kitchen smoking behavior recognition, mask recognition, garbage classification recognition, chef recognition without wearing and mouse recognition.
S4, with the edible material and the environmental information that scene safety management platform and edible material detection module acquireed, the electrical apparatus information of collecting electricity, door and window alarm information, edible material soak time information, the animal remedy is remained, pesticide residue carries out the centralized collection, and carry out multistage classification, the one-level classification is for integrating electrical apparatus information of collecting electricity and door and window alarm information and generating electric power and alarm information report form, the second grade classification is for edible material and environmental information that will acquire, edible material soak time information, the animal remedy is remained, pesticide residue integrates, the edible material safety assessment index that corresponds expresses Gn ═ An: a, b, c and d, wherein An is represented as the nth food material, a is represented as food material environment information, b is represented as food material soaking time information, c is represented as veterinary drug residue information, d is represented as pesticide residue information, the image information acquired from the network camera is used for automatically identifying a person local amplification picture, character description is generated for the basic feature of the target, the related panoramic picture, the target close-up picture and the feature description character are stored in a database, and finally An evaluation result is obtained according to the comparison of Gn and GN.
In conclusion, the following results are obtained:
carry out the image through each supervision link in to the kitchen warehouse and get evidence and eat material medicine monitoring result, eight minutes animal remedy residues and thirteen minutes pesticide residue detect on the different food materials, carry out through the internet protocol camera simultaneously and discern not wearing chef's cap, kitchen smoking action discernment, do not wear gauze mask discernment, waste classification discernment, do not wear chef's clothes discernment and mouse discernment, and through data analysis unit aassessment safety index, make supervision work not have the intermittent type nature, need not personnel's intervention in a large number, continuously carry out safety monitoring to kitchen warehouse and food material, reduce food material potential safety hazard.
The temperature and the humidity of the detected food materials and the environment are monitored in real time through a scene safety management platform, the electric parameter information of electric quantity, current, voltage and power of a detection electric appliance (load) is acquired, the opening and closing of doors and windows are monitored, anti-theft alarm information is sent out when abnormal opening and closing are carried out in a non-working period, the soaking time of the food materials is detected and marks are recorded, the environment of a kitchen warehouse is fully monitored in real time and alarmed in time, the local amplification pictures of personnel are automatically identified through the image information acquired from a network camera, the character description is generated for the basic characteristics of a target, related panoramic pictures, target close-up pictures and feature description characters are stored in a database, the personal pictures and abnormal behaviors are accurately monitored, the theft phenomenon is avoided, and the difficulty of canteen management work is reduced.
Although the preferred embodiments of the present patent have been described in detail, the present patent is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present patent within the knowledge of those skilled in the art.

Claims (8)

1. The utility model provides a eat material safety monitoring system, includes central processing unit, its characterized in that: the input of central processing unit is connected with the output of eating material safety control unit, it is connected with the input of database and data analysis's unit to eat material safety control unit's output, database and central processing unit both way junction, central processing unit's input is connected with data analysis unit's output, data analysis's unit's input is connected with scene safety control platform's output, scene safety control platform's input is connected with central processing unit's output, scene safety control platform's output and the output of logging in the management unit are connected.
2. The food material safety monitoring system according to claim 1, wherein: the login management unit comprises an identity verification module and a management authentication module;
an identity authentication module: the system is used for carrying out identity authentication on personnel entering a canteen warehouse, carrying out access detection in a key instruction, face recognition and face temperature measurement mode, and has an attendance checking and card punching function;
the management authentication module: the identity authentication module is used for adding or deleting personal identity information in the identity authentication module, and the operation can be carried out after the personal identity information is input into the identity authentication module for authentication of an administrator.
3. The food material safety monitoring system according to claim 1, wherein: the scene safety management platform comprises an intelligent detection module, an electricity metering management module, a kitchen window safety detection module and a water immersion detection module;
the intelligent detection module is set as an intelligent temperature and humidity detector and is used for monitoring the temperature and the humidity of the detected food material and the environment in real time, and automatically giving out sound and light alarm if the detected temperature and humidity exceed or are lower than standard values;
the electricity metering management module is set as an intelligent electricity metering socket and is used for detecting electric parameter information of electric quantity, current, voltage and power of an electric appliance (load) and collecting data;
the kitchen window safety detection module is set as an intelligent door and window detector and used for monitoring the opening and closing of a door and a window and sending anti-theft alarm information when the door and the window are opened and closed abnormally in a non-working period;
the water logging detection module is set as an intelligent water logging detector and is used for detecting the soaking time of food materials and recording the mark, and the contact of the intelligent water logging detector outputs an alarm signal after being soaked in water and not broken, and transmits the alarm signal to the central processing unit in a wireless transmission mode.
4. The food material safety monitoring system according to claim 1, wherein: the food material safety management unit comprises a food material detection module and a video monitoring module;
food material detection module: the system is used for detecting eight-minute veterinary drug residues and thirteen-minute pesticide residues on different food materials and transmitting detection data to a data analysis unit;
the video monitoring module is set to be a plurality of network cameras and used for performing image evidence obtaining on all monitoring links in a kitchen warehouse and transmitting real-time data to the data analysis unit, and the video monitoring module supports the network cameras of the kitchen entry of ONVIF and RTSP protocols.
5. The food material safety monitoring system according to claim 4, wherein: the identification points in the network camera are as follows:
identifying the non-chef cap: the intelligent identification of the same picture without the chef cap identification is supported;
identifying the kitchen smoking behavior: the smoking behavior recognition of 1-10 persons on the same picture is supported;
identifying without wearing a mask: the mask identification method has the advantages that the mask identification of 1-10 people in a kitchen without wearing the mask is realized, and the mask identification of various colors is supported;
and (3) garbage classification and identification: analyzing and alarming kitchen garbage and other unsorted garbage events;
identifying the clothing of the chef without wearing: the behavior of not wearing chef clothes is supported to be identified;
and (3) mouse identification: and alarming according to the mouse presence and absence behavior.
6. The food material safety monitoring system according to claim 1, wherein: the data analysis unit acquires data information acquired by the scene safety management platform and the food material safety management unit in a WiFi network or GPRS transmission mode;
collect scene safety control platform and the edible material that edible material detection module acquireed and environmental information, electrical apparatus meter electric information, door and window alarm information, edible material soak time information, animal remedy are remained, pesticide residue to carry out multistage classification:
first-stage classification: integrating the electricity metering information and door and window alarm information of the electric appliance and generating an electric power and alarm information report;
and (4) secondary classification: integrating the obtained food materials and environmental information, food material soaking time information, veterinary drug residues and pesticide residues, wherein the corresponding food material safety assessment index represents Gn ═ An: a, b, c and d, wherein An is represented by the nth food material, a is represented by food material environment information, b is represented by food material soaking time information, c is represented by veterinary drug residue information, and d is represented by pesticide residue information;
the method comprises the steps of automatically identifying a person local amplification picture from image information acquired from a network camera, generating character description for basic characteristics of a target, and storing related panoramic pictures, target close-up pictures and characteristic description characters in a database.
7. The food material safety monitoring system according to claim 1, wherein: the database comprises a data input module and a data storage module, wherein the data input module is used for inputting standard values GN of various food material safety evaluation indexes.
8. A food material safety monitoring method is characterized by comprising the following steps:
s1, when the food material safety monitoring system needs to be accessed, the identity of people entering the canteen warehouse is verified, access detection is carried out in the modes of key instruction, face recognition and face temperature measurement, personal identity information is added or deleted in the identity authentication module through the management authentication module, and operation can be carried out after the identity of an administrator is input for verification;
s2, then, the temperature and the humidity of the detected food material and environment are monitored in real time through an intelligent temperature and humidity detector, if the detected temperature and the detected humidity exceed or are lower than a standard value, an audible and visual alarm is automatically sent out, the electric parameter information of electric quantity, current, voltage and power of an electric appliance (load) is detected through an intelligent electricity metering socket, data are collected, a door and window is monitored through an intelligent door and window detector, anti-theft alarm information is sent out when abnormal switches are not switched in a non-working period, the soaking time of the food material is detected through the intelligent water immersion detector, marks are recorded, alarm signals are output after contacts of the intelligent water immersion detector are not broken through water immersion, and the alarm signals are transmitted to a central processing unit in a wireless transmission mode;
s3, monitoring food safety, detecting eight-minute veterinary drug residues and thirteen-minute pesticide residues on different food materials, transmitting detection data to a data analysis unit, performing image evidence obtaining on all supervision links in a kitchen warehouse, transmitting real-time data to the data analysis unit, supporting a network camera of an ONVIF and RTSP protocol back-to-kitchen entrance by a video monitoring module, and performing chef cap recognition, kitchen smoking behavior recognition, mask recognition, garbage classification recognition, chef clothes recognition and mouse recognition;
s4, with the edible material and the environmental information that scene safety management platform and edible material detection module acquireed, the electrical apparatus information of collecting electricity, door and window alarm information, edible material soak time information, the animal remedy is remained, pesticide residue carries out the centralized collection, and carry out multistage classification, the one-level classification is for integrating electrical apparatus information of collecting electricity and door and window alarm information and generating electric power and alarm information report form, the second grade classification is for edible material and environmental information that will acquire, edible material soak time information, the animal remedy is remained, pesticide residue integrates, the edible material safety assessment index that corresponds expresses Gn ═ An: a, b, c and d, wherein An is represented as the nth food material, a is represented as food material environment information, b is represented as food material soaking time information, c is represented as veterinary drug residue information, d is represented as pesticide residue information, the image information acquired from the network camera is used for automatically identifying a person local amplification picture, character description is generated for the basic feature of the target, the related panoramic picture, the target close-up picture and the feature description character are stored in a database, and finally An evaluation result is obtained according to the comparison of Gn and GN.
CN202210387149.4A 2022-04-13 2022-04-13 Food material safety monitoring system and monitoring method Pending CN114724332A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116977925A (en) * 2023-07-25 2023-10-31 广州市智慧农业服务股份有限公司 Video safety management system for omnibearing intelligent monitoring

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116977925A (en) * 2023-07-25 2023-10-31 广州市智慧农业服务股份有限公司 Video safety management system for omnibearing intelligent monitoring
CN116977925B (en) * 2023-07-25 2024-05-24 广州市智慧农业服务股份有限公司 Video safety management system for omnibearing intelligent monitoring

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