WO2019054649A1

WO2019054649A1 - Integrated food distribution system

Info

Publication number: WO2019054649A1
Application number: PCT/KR2018/009391
Authority: WO
Inventors: 박선민; 박선영; 박선우
Original assignee: 박선민; 박선영; 박선우
Priority date: 2017-09-18
Filing date: 2018-08-16
Publication date: 2019-03-21
Also published as: KR101858403B1

Abstract

An integrated food distribution system includes: a first sensing node which is located in a first area in which food is located and generates food environment information by sensing environment information about the first area; a first relay which is disposed in a second area distinct from the first area and receives the food environment information; and a food monitoring server which matches and stores a first identifier of the food and a second identifier of the first sensing node, receives the second identifier and the food environment information through the first relay, searches reference environment information set for the food on the basis of the second identifier; and determines the state of the food on the basis of the reference environment information and the food environment information.

Description

Food Integrated Logistics System

The present invention relates to a food integrated logistics system, and more particularly to a system and method for real-time monitoring of production, processing, transportation, distribution, display and sale of foods such as agricultural products, aquatic products, livestock products, processed foods, Management and control of food.

Due to increasing food safety accidents every year, consumers are increasingly demanding safe fresh / processed food distribution and quality control. According to the Korea Consumer Agency, food safety accidents such as food poisoning received by the Consumer Risk Monitoring System (CISS) are increasing every year by 20%. In line with the increasing interest in food safety and the trend toward higher food quality, the scope of food monitoring systems is expanding and demand is expected to increase accordingly.

Korean Patent Publication No. 2012-0121383 (published on May 11, 2012) discloses a method and system for monitoring food quality, which comprises a sensor tag attached to a container on which food is loaded to sense environmental factors and transmit food information, A sensor tag reader for transmitting food information, and a server for measuring the quality index of food based on environmental factors and food information. The system includes a server for managing the quality of food, Effect.

However, due to the limitations of the communication distance and recognition rate of the sensor tag (RFID), the conventional technology has a disadvantage in that the number of components (for example, The reader is limited in positionable position, and only the quality change in the distribution process of the food is detected, but there is a problem that the history of the food itself (for example, forgery of the livestock product) can not be monitored.

It is an object of the present invention to provide a food integrated logistics system capable of providing food information in which the arrangement of components is free and highly reliable.

An object of the present invention is to provide a food integrated logistics system capable of preventing forgery and falsification of food history.

In order to accomplish the above object, the food integrated distribution system according to the embodiments of the present invention includes a first area located in a first area where food is located, a first area for sensing environmental information of the first area, Sensing node; A first relay disposed in a second area differentiated from the first area, the first relay receiving the food environment information; And storing the first identifier of the food and the second identifier of the first sensing node in a matching manner, receiving the second identifier and the food environment information via the first relay, and based on the second identifier And a food monitoring server for searching the reference environment information set for the food and determining the state of the food based on the reference environment information and the food environment information.

According to one embodiment, the first region is an internal space of a first packaging member packaging the food, the second region is distinguished from the first region, and the control over at least one of the internal temperature and humidity is It can be as independent as possible.

According to one embodiment, the sensing node comprises: a temperature sensor for measuring the temperature of the first region; A humidity sensor for measuring the humidity of the first area; A gas sensor for measuring a gas concentration including at least one of a nitrogen dioxide concentration, an ammonia concentration, and a carbon monoxide concentration in the first region; An organic solvent sensor for detecting a drug containing at least one of pesticides, insecticides and antibiotics in the first region; And a communication module for transmitting the food environment information including the temperature, the humidity, the gas concentration, and the drug concentration to the relay, wherein the food monitoring server periodically stores the food environment information in the history of the food Information, and determine the corruption state of the food based on the gas concentration.

According to an embodiment, the food monitoring server may analyze a drug detection result of the organic solvent sensor to determine a neutralizing agent that neutralizes the drug.

According to one embodiment, the food integrated distribution system further includes a vital sensor for measuring a living body signal including at least one of a body temperature and a heart rate of a livestock, It is possible to judge whether the drug is administered to the animal.

According to an embodiment, the food integrated distribution system may include a second sensing node for sensing environmental information of a third area where the animal is located and generating format environment information; And a second repeater for transmitting the format environment information to the food monitoring server. The food monitoring server can determine whether to administer the drug to the animal based on the habitat environment information and the bio-signal.

According to an embodiment, at least one of the first sensing node and the second sensing node further includes a biosensor for measuring at least one of air pollution and an amount of diseasedness, The disinfecting time for the first area or the third area can be determined based on the value of the disinfection time.

According to one embodiment, the food integrated distribution system further includes an air purification device disposed in at least one of the first area and the third area, wherein the food monitoring server is configured to detect, based on the air pollution degree, Can be controlled.

According to an embodiment of the present invention, at least one of the first sensing node and the second sensing node further includes a fine dust sensor for measuring a fine dust concentration, The correlation between rating information can be analyzed.

According to one embodiment, the food comprises at least one of fruits and vegetables, and the first sensing node further comprises a biosensor for measuring air pollution degree, wherein the food monitoring server comprises: It is possible to determine whether or not at least one of the disinfectant and the pesticide in the first region is used based on the detection result and the air pollution degree.

According to an embodiment, the food may include at least one of an animal product, a marine product, and a dairy product, and the first sensing node may further include a biosensor for measuring air pollution degree, The antibiotic usage of the first region and the hygiene state of the first region can be determined based on the drug detection result of the first region and the air pollution degree.

According to one embodiment, the food comprises at least one of an animal husbandry processed food and an aquacultured food, and the first sensing node further includes a biosensor for measuring air pollution degree, The antibiotic use of the first region and the hygiene state of the first region can be determined based on the drug detection result of the solvent sensor and the air pollution degree.

According to an embodiment, the first area may be a farm, and the first sensing node may further include a water quality sensor for measuring at least one of an oxygen dissolved amount, a water quality, and carbon dioxide, The state of the first area can be determined based on the measured value of the first area.

According to one embodiment, the food integrated logistics system further comprises a balance system for measuring the weight of the food and outputting a history label, wherein the balance system receives a history number of the food, A scale for measuring and generating first weight information; And a label printer for outputting history information including the history number of the food and the first weight information to the history label, wherein the food monitoring server is configured to calculate, based on the history number provided in the balance system, And determines whether the history information of the food is forged or not based on the first weight information and the second weight information and provides the history information to the label printer can do.

According to one embodiment, the balance system comprises: a metal detector for detecting metal incorporated in the food; A scanner for scanning the food through the metal detector; And a processing module for generating information on the number of passed metal detection passes based on the scan result of the scanner.

According to an embodiment, the food monitoring server tracks the movement path of the moving means provided with the first relay, based on the position information provided through the first relay, When entering the set third area, an arrival alarm can be generated.

According to an embodiment, the apparatus further includes an environment controller for regulating the temperature of at least one of the first region and the second region, wherein the environment controller includes: a heat exchanger for performing heat exchange to regulate the temperature; A plurality of temperature sensors uniformly disposed in the heat exchanger; A power meter for measuring the power consumption of the heat exchanger; A heater for removing frost generated in the at least one of the first region and the second region; And a controller for predicting a defrosting point at which the frost is generated through analysis of the measured values of the temperature sensors and the power consumption and operating the heater based on the defrosting point.

According to one embodiment, the food integrated logistics system may further include a temperature controller connected to the user terminal to operate the heat exchanger.

According to one embodiment, the first area may be a storage room.

According to an embodiment of the present invention, the first sensing node has identifiers of different colors and mutually different types for each use destination, and the use destination is a business entity corresponding to the types of food and the types of products corresponding to the types of foods, production, processing, It can be distinguished based on the companies that perform.

According to one embodiment, the food integrated logistics system further comprises a user terminal connected to the food monitoring server for requesting provision of the status information of the food, wherein the food monitoring server comprises: Food management standards, food sanitation related laws, and declaration information to the user terminal.

According to an embodiment, the food integrated distribution system may further include a temperature control device for controlling the temperature of the first area, and the food monitoring server may further include: Can be controlled.

According to one embodiment, the food integration logistics system further includes a camera device disposed in the first area and photographing the food, wherein the food monitoring server is configured to monitor the food in the image acquired through the camera device The state of the food can be judged based on the color.

The food integrated logistics system according to the embodiments of the present invention senses environmental information of a first region where a food is located through a sensing node and detects the state of the food (for example, Corruption status, whether or not the storage temperature is released, whether the food is refrigerated or frozen, etc.) can be monitored and managed in real time. Therefore, the integrated food distribution system can minimize possible physical / chemical / biological hazards to the food and enable the user to use safe food with confidence in the food.

Also, since the food integrated logistics system manages and matches the first identifier of the food and the second identifier of the sensing node, the conventional RFID system problem of transmitting the temperature and humidity information by checking the first identifier of the food in real time The distance is less than 1.5m and the recognition rate is 95%), and the system can be constructed more freely and easily as compared with the conventional RFID system.

Furthermore, the integrated food distribution system compares the first weight information of the food obtained through the balance system with the second weight information before processing of the food to determine whether the food history is forged or not, and in particular, have.

1 is a block diagram illustrating a food integrated logistics system in accordance with embodiments of the present invention.

FIGS. 2A and 2B are views showing an example of a sensing node included in the food integrated logistics system of FIG. 1. FIG.

FIG. 3A is a diagram showing an example of a configuration of a sensing node and a repeater included in the food integrated distribution system of FIG. 1. FIG.

FIG. 3B is a diagram showing an example of the arrangement of sensing nodes included in the food integrated distribution system of FIG. 1. FIG.

FIG. 3C is a view showing an example of arrangement positions of sensing nodes and repeaters included in the food integrated distribution system of FIG. 1. FIG.

FIG. 3D is a view showing an example of the packaging member of FIG. 3B.

FIG. 4 is a view showing an example of a food monitoring server included in the food integrated logistics system of FIG. 1. FIG.

FIG. 5A is a diagram showing an example of a storage temperature for each food used in the food monitoring server of FIG. 4. FIG.

FIG. 5B and FIG. 5C are diagrams for explaining contents of monitoring the temperature change of food in the food monitoring server of FIG.

FIG. 5D is a diagram showing an example of a configuration for tracking the position of a food in the food monitoring server of FIG. 2. FIG.

6A is a diagram showing an example of a balance system included in the food integrated logistics system of FIG.

6B is a view showing an example of a history label output from the balance system of FIG. 6A.

6C and 6D are views showing an example of food history information used in the food monitoring server of FIG.

7 is a diagram showing an example of an environmental controller included in the food integrated logistics system of FIG.

8A is a flow chart showing a history flow of food.

8B is a flowchart showing the history flow of the livestock product.

8C is a flowchart showing an example of the machining process of Fig. 8B.

FIG. 9 is a flowchart showing a food monitoring method performed in the food integrated logistics system of FIG. 1; FIG.

10 is a flowchart showing a food history information forgery detection method performed in the food integrated logistics system of FIG.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. The same reference numerals are used for the same constituent elements in the drawings and redundant explanations for the same constituent elements are omitted.

The food integrated logistics system utilizes the Internet of things (IoT) technology to create a harmful environment (or harmful environment) in food production areas such as feed mills and livestock farms, livestock products, aquatic products, agricultural products Distribution, display, and sales of fresh / processed foods such as fruits, vegetables, fruits, vegetables, etc.) in real time to track the history of corruption / altered foods caused by changes in temperature and humidity of fresh / Management / control to prevent the manufacture / sale of defective food in advance.

1, a food integrated logistics system 100 may include a sensing node 110 (or a node), a repeater 120 (or an access point AP), and a food monitoring server 130. In addition, the food integrated logistics system 100 may further include an environmental controller 140 and a balance system 150 (or a labeling system). The sensing node 110 is connected to the repeater 120 using a wireless communication method and the repeater 120, the food monitoring server 130, the environment controller 140 and the balance system 150 can be interconnected via a network have. Meanwhile, the food integrated logistics system 100 may be connected to or linked to the user terminal 160, the administrator terminal 170, and the coordinating institution server 180 through a network.

The sensing node 110 may be located in a first area where food is located, and may generate food environment information (or sensor data) by sensing environmental information of the first area. Here, the food is collectively referred to as agricultural products, aquatic products, livestock products, processed foods and the like, and may have a first identifier (for example, a bar code, a QR code, and the like). The first area is a space in which the food is located, for example, a production site where food is produced (for example, a farmhouse, a house, a slaughterhouse), a processing place where foods are processed, (E.g., a packaging member, e.g., a packaging box, a box, a pallet, etc.) that packages food, as well as food, beverages, refrigerators, freezers, warehouses and the like.

The environmental information includes the presence and concentration of drugs (for example, pesticides, insecticides, antibiotics, etc.) as well as temperature, humidity, gas concentrations (for example, nitrogen dioxide, ammonia, carbon monoxide, And may include time information and environment information in which information is sensed. In addition, the food environment information may further include position information of the sensing node 110.

In addition, the sensing node 110 automatically stores the generated food environment information (or sensor data) in real time and also transmits food environment information (or sensor data) to the central server (or the food monitoring server 130 ). For example, the food environment information (or sensor data) is transmitted in real time to the central server (or the food monitoring server 130) through the relay 120 and the administrator terminal 160 connected to the food monitoring server 130 Can be monitored in real time. In addition, some of the food environment information may be processed and displayed through the user terminal 160. [

The specific configuration of the sensing node 110 will be described later with reference to Figs. 2A and 2B.

The relay 120 may be located in a second area that is distinct from the first area, and may receive the node identifier and the food environment information from the node 110. Here, the second region is a space including the first region, and includes a plurality of regions similar to the first region, and includes a production site (for example, a farmhouse, a farmhouse, a slaughterhouse) (E.g., containers, vehicles, vessels (e.g., bulk carriers), etc.) that are used to transport food, such as food, . For example, when the first area is a storage warehouse (or storage room), the second area may be a processing plant having a storage room, a processing room, a cooling room, and the like. As another example, if the first area is a packaging box for food, the second area may be a storage warehouse for storing the packaging boxes.

The repeater 120 can transmit the food environment information and the location information of the relay device 120 to the food monitoring server 130 in real time. For example, the repeater 120 may include a separate GSP module to generate location information, or may acquire location information in cooperation with an external GPS device disposed adjacent to the repeater 120.

The sensing node 110 and the relay 120 can be disposed in the entire distribution network from the food producing site to the selling place where the consumer touches such as a food producing place, a processing factory, a transportation vehicle, a warehouse, The arrangement of the sensing node 110 and the repeater 120 will be described later with reference to FIGS. 3A to 3C.

The food monitoring server 130 stores and stores the first identifier of the food and the second identifier of the sensing node 110, receives the second identifier and the food environment information through the relay 120, Based on the reference environment information and the food environment information, and the result of the determination of the state of the food can be stored and updated in real time based on the reference environment information and the food environment information. Here, the first identifier is a history number or history information stored in the QR code attached to the surface of the food or the package, and similarly, the second identifier is a history number or history stored in a QR code or the like requested on the surface of the sensing node 110 Information. The reference environmental information may be set based on, for example, Hazard Analysis and Critical Control Points (HACCP), for example, the recommended storage temperature / humidity of the food.

The state of the food may include the food's corruption state, the leaving of the storage temperature, whether it is refrigerated or frozen, the life of the food (for example, the remaining shelf life), and the like. For example, the food monitoring server 130 can judge the corruption state of the food or the hygiene state of the food production site based on the gas information in the food environment information. For example, the food monitoring server 130 may store the food environment information in real time (or periodically) in the food history information (i.e., food history information) and store the predetermined life calculation formula and food history information , Accumulated food environmental information) can be used to determine the life of the food. For example, the food monitoring server 130 may manage the refrigerated and frozen food based on the temperature change of the food (i.e., the temperature change of the first region).

On the other hand, the user can check the status information of the food in real time in the food monitoring server 130.

In the embodiments, the food monitoring server 130 calculates a defrosting time for removing frost or the like occurring in the first region based on the food environment information, (140) to operate based on the defrost timing. In this case, the defrosting time calculated by the food monitoring server 130 and the status / operation information of the environment controller 140 can be transmitted in real time to the administrator terminal 170 and the like, Lt; RTI ID = 0.0 > 140 < / RTI >

In embodiments, the food monitoring server 130 may determine whether the food history is forged or not based on the weight information of the food provided from the balance system 150. For example, the food monitoring server 130 obtains the weight of the raw food (i.e., the weight or weight of the food before processing) from the cooperating organization server 180 (for example, the livestock hysteresis DB) (I.e., the abnormal weight of the food or processed food) and calculates the abnormal weight of the food and the weight of the food (that is, the weight of the food measured through the balance system 150) It is possible to judge whether the food history is forged or not. For example, if the weight of the first class of Korean beef loin is 10kg but the weight measured for the first class Korean beef loin exceeds 10kg, the method of judging that the beef loin of the other class is forged by the first class Korean beef loin , It is possible to manage the overlapping grade judgment.

In addition, the food monitoring server 130 may also receive the metal detection result information and the metal detection pass count information (i.e., the number of times it has passed through the metal detector) provided from the balance system 150 (or the metal detectors and scanners associated therewith) The number of times the food has been scanned through the device) and whether the metal is present in the food or not.

The specific configuration and operation of the food monitoring server 130 will be described later with reference to FIG.

The environmental controller 140 is disposed in at least one of the first region and the second region and detects the temperature or humidity of at least one of the first region and the second region based on the temperature and humidity control signal provided from the food monitoring server 130. [ Or the frost etc. can be removed. For example, the food monitoring server 130 may calculate the defrosting time at which the frost in the first area occurs based on the temperature and humidity information of the first area (for example, the refrigerator) And the environment controller 140 can adjust the temperature and humidity of the first region according to the temperature / humidity control signal. The environment controller 140 may be implemented as a cooler, a heater, or the like. The environment controller 140 further includes a temperature display device (or a wireless temperature sensor, a wireless temperature controller, etc.), and the status / operation information of the environment controller 140 The current temperature of the first region, the operation of the environment controller 140, the operation time, etc.) in real time, and can receive and operate the temperature / humidity control signal from the administrator terminal 170 or the like.

The balance system 150 may measure the weight of the food at the production / processing stage of the food and output a history label (or hysteresis label). Here, the history label is a sheet containing history information of the food, and can be attached to the food or the package of the food so that the users can confirm the history information of the food.

The balance system 150 obtains the history number of the food (e.g., receives the bar code and QR code of the food scanned from the scanner) and measures the weight (or weight) of the food to generate the first weight information And output history information including the history number of the food and the first weight information to the history label. Here, the food monitoring server 130 (or the processing module in the balance system 150) may be configured to send a query to the database (or cooperating agency server 150) based on the history number (i.e., the scanned history number) 180), for example, the livestock hysteresis DB), and determines whether the history information of the food is forged or not based on the first weight information and the second weight information , And can control the output of the history label of the balance system 150 according to the determination result.

The specific configuration of the balance system 150 will be described later with reference to FIG. 6A.

The user terminal 160 can request the food monitoring server 130 to provide food status information (or food history information) and display the food status information provided from the food monitoring server 130. For example, the administrator terminal 170 receives a first identifier of a food through an input module such as a scanner, a keyboard, or a touch screen, receives and transmits data such as a request for providing a food status information through a communication module, , A display device, a speaker device, and the like, to the user. For example, the user terminal 160 may be implemented as a desktop, tablet PC, PDA, smart phone, or the like.

The administrator terminal 170 is assigned to the administrator who manages the food monitoring server 130 or to the terminal used by the administrator to set the setting value of the food integrated logistics system 100 (for example, Etc.) to the food monitoring server (120).

Meanwhile, the cooperating organization server 180 may interwork with the food monitoring server 130 to provide information related to the food to the food monitoring server 130. For example, the coordinating organization server 180 may be implemented as an animal product history database server, and may provide history information of the food before processing to the food monitoring server 130. For example, the coordinator server 180 may be implemented as a database server as a result of a drug test to provide a drug test result (for example, a pesticide, a pesticide, and an antibiotic reaction test result) .

1, the food integrated logistics system 100 senses environmental information of a first region where food is located through the sensing node 110, and detects the environmental information of the food based on the environmental information of the food and the environmental information of the reference And can monitor and manage the status (for example, corruption state, whether or not the storage temperature is released, whether the food is refrigerated / frozen conversion food, etc.) in real time. Thus, the food integrated logistics system 100 minimizes possible physical / chemical / biological hazards to the food and allows the user to use the safe food with confidence in the food.

In addition, the food integrated logistics system 100 manages the first identifier of the food and the second identifier of the sensing node 100 in a mutually matching manner and manages the first identifier of the food in real time to transmit the temperature / It is possible to solve the problem of the RFID system (the communication distance is less than 1.5m and the recognition rate is 95%) and the system can be constructed more freely and easily as compared with the conventional RFID system.

Furthermore, the food integrated logistics system 100 judges whether the food history is forged or falsified by comparing the first weight information of the food obtained through the balance system 150 with the second weight information before processing of the food, You can manage the rating ruling.

All the data to be sensed / calculated / generated in the food integrated distribution system 100 is stored and transmitted in real time and transmitted to the user terminal 160, the administrator terminal 170 and the like, as well as the food monitoring server 130 Can be transmitted in real time.

FIGS. 2A and 2B are views showing an example of a sensing node included in the food integrated logistics system of FIG. 1. FIG. FIG. 3A is a diagram showing an example of the arrangement of sensing nodes and repeaters included in the food integrated distribution system of FIG. 1, and FIG. 3B is an example of a layout configuration of sensing nodes included in the food integrated logistics system of FIG. And FIG. 3C is a view showing an example of arrangement positions of the sensing node and the repeater included in the food integrated distribution system of FIG. FIG. 3D is a view showing an example of the packaging member of FIG. 3B.

2, the sensing node 110 includes a sensor module 210 for sensing environment information, a communication module 220 for transmitting food environment information to an external device (for example, a relay device 120) And a battery module 230 for supplying electric power to them.

The sensor module 210 may include a temperature sensor 211 for measuring the temperature of the first region and a humidity sensor 212 for measuring the humidity of the first region. The sensor module 210 further includes a gas sensor 213 for measuring the concentration of gas in the first region and an organic solvent sensor 214 for measuring the use of the drug in accordance with the use and location of the sensing node 110 . Here, the gas concentration includes at least one of a nitrogen dioxide concentration, an ammonia concentration, and a carbon monoxide concentration, and the drug information may include the presence or absence of at least one of an agricultural chemical, an insecticide, and an antibiotic. For example, the temperature sensor 211 and the humidity sensor 212 are embedded in the sensor module 210, and the gas sensor 213 and the organic solvent sensor 214 are detachably attached (or extended, external) May be coupled to the sensor module 210. The temperature sensor 211, the humidity sensor 212, the gas sensor 213 and the organic solvent sensor 214 may be composed of known sensors.

In one embodiment, the gas sensor 213 may detect volatile organic compounds (VOCs). Here, a volatile organic compound (VOC) is a generic term of a liquid or gaseous organic compound which is easily vaporized into the atmosphere due to its high vapor pressure, and refers to a substance that causes photochemical reaction in the air to generate photochemical oxidizing substances such as ozone to induce photochemical smog. In this case, the information of the detected volatile organic compounds (VOC) is provided to the food monitoring server 130 in real time, and the food monitoring server 130 compares the pollution degree (or environmental pollution degree) of the first region with the reference value, For example, the alarm can be generated in real time if the degree of contamination exceeds the warning reference value.

Meanwhile, the organic solvent sensor 214 can detect / detect the organic solvent and the oil. Here, the organic solvent is a liquid organic chemical substance capable of dissolving a substance such as a thinner or a solvent. The organic solvent information detected through the organic solvent sensor 214 is provided to the food monitoring server 130 in real time and similar to the VOC-based contamination degree calculation, the food monitoring server 130 compares the first It is possible to calculate the pollution degree (or environmental pollution degree) of the area.

In embodiments, the sensor module 210 may further include a biosensor 215. The biosensor 215 can measure at least one of the air pollution degree and the amount of bacteria in the first area. In this case, the food monitoring server 130 can determine the disinfection timing for the first region based on the measured value of the biosensor (for example, the air pollution degree or the amount of diseasedness).

In one embodiment, the food monitoring server 130 may include an organic solvent sensor 214, if the food comprises at least one of fruits and vegetables, i.e., the food is agricultural produce and the first area is a farm (or farm) The use of at least one of the disinfectant and the pesticide (that is, the pesticide used to prevent the pest) on the first region can be determined based on the result of the drug detection of the biosensor 215 and the measurement result of the air pollution of the biosensor 215.

In one embodiment, the food monitoring server 130 detects the drug detection result of the organic solvent sensor 214 and the biosensor sensor 214 when the food is at least one of livestock products, aquatic products, and dairy products, It is possible to determine whether the antibiotic is used in the first region (or whether the antibiotic is administered to the food) and the sanitary condition of the first region based on the air pollution degree measurement result of the first region 215.

In one embodiment, the food monitoring server 130 is configured to detect the drug detection results of the organic solvent sensor 214 and the biosensor (s) 215), it is possible to determine whether the antibiotic is used in the first region (or whether the antibiotic is administered to the food) and the sanitary condition of the first region based on the result of the air pollution measurement.

In embodiments, the sensor module 210 may further include a fine dust sensor 216. The fine dust sensor 216 measures the fine dust concentration in the first area and in this case the food monitoring server 130 can analyze the correlation between the fine dust concentration and the food grade information have. That is, the food monitoring server 130 can analyze the influence of the fine dust concentration on the food.

In embodiments, the sensor module 210 may include a water quality sensor that measures at least one of the amount of oxygen dissolved, water quality, and carbon dioxide. That is, the first region may be a farm. In this case, the food monitoring server 130 can determine the state of the first region (e.g., whether antibiotics are used) based on the measured value of the water quality sensor.

As described above, the sensor module 210 can measure not only the temperature / humidity of the first region (or the food), but also the air pollution, the amount of bacteria, and the concentration of fine dust. Accordingly, the food monitoring server 130 not only determines the state of food, but also sanitary conditions of the first area, determines the disinfection timing of the first area, and analyzes the influence of the fine dust on the crops, It is possible to derive a configuration for detecting and interrupting a signal.

The communication module 220 (or the transmitter) can transmit food environment information (or sensor data) to the outside in real time using at least one of the low-power wireless communication technology and the long-distance wireless communication technology. For example, the communication module 220 may be implemented using a variety of communication technologies such as low power Bluetooth low energy (BLE), beacon (e.g., Bluetooth 4.0 protocol based short range wireless communication) and Long Range (LoRa) Can be used.

In one embodiment, communication module 220 may store food environment information in a separate memory device if communication with relay 120 is not available, and may transmit stored food environment information when communicated with repeater 120 have.

The sensing node 110 sends food environment information to the relay 120 in real time along with a second identifier (i.e., an identifier assigned to distinguish the sensing node 110 from another sensing node, e.g., a node ID) Lt; / RTI >

In embodiments, the sensing node 110 may have different colors and different types of identifiers for each location of use. Here, the place of use can be classified based on the industries corresponding to the types of food and the companies that perform production, processing, transportation, and sale, respectively. That is, the sensing node 110 may have different colors and different types of identifiers (e.g., QR codes) for each business type and company that use the same. In this case, the number of times the mission / operation is terminated to the sensing node 110 can be easily performed based on the color of the sensing node 110 or the like.

Referring to FIG. 2B, the vital sensor 240 is attached to a livestock (or an object, for example, a cattle, a pig) to generate a vital sign including at least one of body temperature and heart rate of the cattle Can be measured. Here, the biological signal may include heart rate, body temperature, and the like.

The vital sensor 240 includes a bio-signal measuring unit 217, a communication module 220 and a battery module 230. The communication module 220 and the battery module 230 include a communication module 220 and the battery module 230. The battery module 230 of FIG.

The bio-signal measuring unit 217 is implemented by a general vital sensor, and can measure living body bio-signals. In this case, the food monitoring server 130 can determine whether or not to administer the drug to the animal based on the change of the biological signal. For example, the food monitoring server 130 may be able to determine the antibiotic use of livestock on the basis of a change in the biological signal by subjecting the response of the livestock to big data and analysis after administering the antianxiety to the animal. For example, when a change occurs in a biological signal such as a sudden increase or decrease in body temperature due to a symptom of fever in an early stage of swine cholera or mad cow disease, the food monitoring server 130 may be administered with antibiotics It can be judged.

Meanwhile, a separate sensing node 110 (for example, a second sensing node 110) is disposed in a third area where the animal is located to generate environmental information of the third area, The repeater 120 (for example, the second repeater) of the first embodiment may transmit the format environment information to the food monitoring server in real time . In this case, the food monitoring server 130 can determine whether or not to administer the drug to the livestock based on the habitat environment information and the biological signal (that is, the biological signal of the livestock provided by the vital sensor 240). For example, if there is no temperature change in the habitat environment information, and only body temperature of the biological signal rapidly rises and then drops sharply, the food monitoring server 130 judges that the livestock is diseased and then received the antibiotic .

That is, the food monitoring server 130 may analyze only one variation of the vital signal of the vital sensor 240 or perform a comparison analysis between the biological signal and the habitat information to determine whether the animal is onset or whether the antibiotic is administered .

3A, the sensing nodes NODE1 to NODE7 and the repeaters AP1 to NODE7 disposed on a plan view of a processing plant (e.g., an animal product processing plant, a fish processing plant, etc.) (or a restaurant, a mart, AP2) are shown. The sensing nodes NODE1 to NODE7 and the repeaters AP1 and AP2 shown in FIG. 3A may be substantially the same as the sensing node 110 and the repeater 120 described with reference to FIG.

For example, the processing plant may include the first to seventh zones AREA1 to AREA7, wherein the first zone AREA1 is a cold storage room (or cold storage room) and the second zone AREA2 is a cold storage room The third zone AREA3 may be a freezing room, and the fourth zone AREA4 may be a place for packaging.

In this case, the sensing nodes NODE1 to NODE7 are arranged in the first to seventh zones AREA1 to AREA7, for example, the first sensing node NODE1 is set to the temperature of the first zone AREA1, And the second sensing node NODE2 can sense the second environmental information such as the temperature and humidity of the second area AREA2. The repeaters AP1 and AP2 may be disposed at any point of the processing plant including the first to seventh zones AREA1 to AREA7 in consideration of the communication distance of the sensing nodes NODE1 to NODE7.

In one embodiment, the air purification device may be disposed in at least one of the first area where the food is located or the third area where the animal is located. For example, the air cleaner AC1 may be disposed in the second zone AREA2. The air purifying device AC1 may operate under the control of the food monitoring server 130 based on the air pollution degree described with reference to FIG. 2B.

In one embodiment, a camera device (CAM1) for photographing the food may be arranged in the first area. For example, the camera device CAM1 may be disposed in the first zone AREA1. In this case, the food monitoring server 130 can determine the state of the food based on the color of the food in the image acquired through the camera device CAM1. For example, the food monitoring server 130 can distinguish the freshness of meat according to the color of the meat, distinguish the expiration date with the color of the apple, and distinguish the expiration date through the white of the papuri.

In one embodiment, an evaporator REF1 (or refrigeration unit) and an environmental controller 140 may be located in the third zone AREA3. That is, an evaporator REF1 for controlling the temperature of the place is disposed in the refrigeration / freezing place, and the environment controller 140 can defrost the frost generated by the cooling operation of the evaporator REF1.

Referring to FIG. 3B, a sensing node NODE 11 disposed in the packaging member PACK 1 is shown.

The packaging member PACK1 may include a plurality of foods PRODUCT1 and PRODUCT2 and a eleventh sensing node NODE11. Here, the packaging member (PACK1) is a member for packing foods in a specific unit for storing / transporting food, for example, a paper box, a styrofoam box, a container, or the like.

As will be described later, in the process of packaging the foods PRODUCT1 and PRODUCT2, the identifiers ID1 and ID2 of the plurality of foods PRODUCT1 and PRODUCT2 and the identifiers of the eleventh sensing node NODE11 The food items PRODUCT1 and PRODUCT2 and the eleventh sensing node NODE11 can be loaded into the packaging member PACK1. The identifiers ID1 and ID2 of the plurality of foods PRODUCT1 and ID2 and the identifier ID_N1 of the eleventh sensing node NODE11 or their information are transmitted to the food monitoring server 130, The products (PRODUCT1, PRODUCT2) scanned before the sensing node (NODE11) can be matched and stored. Hereinafter, the environment information provided through the eleventh sensing node NODE11 may be stored and managed as the food environment information of the foods PRODUCT1 and PRODUCT2 matched with the eleventh sensing node NODE11.

The eleventh sensing node NODE 11 senses the temperature, humidity, gas concentration, and the like inside the packaging member PACK 1, so that the environmental information of the food can be measured more accurately than a general sensor provided outside the packaging member PACK 1, The integrated logistics system 100 can more accurately determine the state of the food.

In the embodiments, the packaging member PACK1 is a goods storage box (e.g., unmanned delivery), and the packaging member PACK1 includes a temperature control device (e.g., a cooler, etc.) . In this case, it is possible not only to produce / transport / distribute / display / sell food, but also to prevent corruption / degeneration of fresh food etc. until the user actually consumes food.

In embodiments, when the packaging member PACK1 is implemented in the can box PACK2, the eleventh sensing node NODE11 can operate based on the folded or unfolded condition of the packaging member PACK1. A battery is disposed on the bottom plate of the can box PACK2 and a communication module 210 (for example, LoRa) is attached to the side surface (SIDE PLATE1) of the can box PACK2, Module) may be disposed to form a ground (e.g., a connection between the first terminal CNT1 and the second terminal CNT2). When the can box PACK2 is folded, it is not grounded (module initialization proceeding), and when the can box PACK2 is opened, the communication module (for example, LoRa module) can operate. A rechargeable or replaceable cover may be used, for example, in the case of a rechargeable type, a method of folding and stacking the rechargeable batteries may be used. Therefore, the sensing node 110 can transmit the unnecessary data (for example, data that occurs when the can box PACK2 is folded and the food is not contained therein, It is possible not only to improve the battery efficiency of the sensing node 110 but also to reduce the data processing speed delay and the increase of the system cost.

Referring to FIG. 3C, a sensing node NODE 11 and a repeater AP 3 disposed in the loading space are shown. Here, the loading space may be a refrigerator, a freezer, a container, a loading box of a vehicle, a cargo space of a vessel / aircraft, and the like.

A plurality of packaging members PACK1 and PACK2 are loaded in the loading space and each of the packaging members PACK1 and PACK2 may include the foods PRODUCT1 and PRODUCT2 and the sensing node NODE11. The eleventh sensing node NODE11 and the third repeater AP3 shown in FIG. 3C may be substantially identical to the sensing node 110 and the repeater 120 described with reference to FIG. In addition, the first packaging member PACK1 and the second packaging member PACK3 shown in Fig. 3C may be substantially the same as the packaging member PACK1 described with reference to Fig. 3B. Therefore, we do not repeat the overlap.

The eleventh sensing node NODE11 measures environmental information (i.e., temperature, humidity, gas information, etc.) inside the first packaging member PACK1 and provides it to the third repeater AP3, The environment information provided from the sensing nodes located inside the loading space may be transmitted to the food monitoring server 130. [ Here, the third repeater AP3 acquires / generates the location information of the third repeater AP3 through the separately provided GPS module or the associated electronic device B_B1, and transmits the location information together with the environment information to the food monitoring server (130). In this case, the food monitoring server 130 may store and update the location information of the third repeater AP3, the sensing nodes, and the foods PRODUCT1 and PRODUCT2. The location information of the food can be used to determine the current location of the food, the estimated time of arrival when moving to a specific place, and the place where the food storage temperature is deviated.

On the other hand, the loading space may be made of a material such as an aluminum material that interferes with or blocks radio wave propagation. In this case, the antenna ANT of the repeater AP3 is disposed inside the loading space, and can be connected to the repeater AP3 disposed outside the loading space via a cable disposed through the ventilation hole or the like.

As described with reference to FIGS. 2A to 3C, the sensing node 110 is disposed adjacent to the food in the first region where the food is located, and senses environmental information of the actual food. The relay 120 includes a first region And transmit environment information provided by the at least one sensing node 110 to the food monitoring server 130 in real time.

FIG. 4 is a view showing an example of a food monitoring server included in the food integrated logistics system of FIG. 1. FIG. FIG. 5A is a diagram showing an example of a storage temperature for each food used in the food monitoring server of FIG. 4. FIG. FIG. 5B and FIG. 5C are diagrams for explaining contents of monitoring the temperature change of food in the food monitoring server of FIG. FIG. 5D is a diagram showing an example of a configuration for tracking the position of a food in the food monitoring server of FIG. 2. FIG.

4, the food monitoring server 130 includes a communication unit 410, a monitoring unit 420, an analysis unit 430, a hysteresis verification unit 440, an input / output unit 450, a location tracking unit 460, A database 470, an information providing unit 480, and a control unit 490.

The communication unit 410 receives the food environment information (or sensing data) (and the position information) from the relay 120 and transmits the environment information to the environment controller 140, the balance system 150, the user terminal 160, ), And between the cooperating organization servers 180. The communication unit 410 may include a security module using the TDES method. For example, the communication unit 410 can collect data by LoRa communication with the sensing node 110 in the field, and can communicate with the server through Wifi or LAN. In addition, in the moving means (or environment) without Wifi or LAN, the communication unit 410 can communicate with the server by the WCDMA (LTE) method.

The monitoring unit 420 can determine the state of the food based on the identifier of the sensing node 110 provided from the relay 130 and the food environment information.

First, the monitoring unit 420 may match and store the first identifier of the food and the second identifier of the sensing node 110. For example, when the sensing node 110 is disposed in a first area (e.g., the fourth area AERA4 of FIG. 3A), the scanner is positioned at the entrance of the first area and moves into the first area In this case, the monitoring unit 420 may match the pre-configured / stored sensing node 110 with the food scanned through the scanner. In another example, if the sensing node 110 is packaged with food (e.g., the packaging shown in FIG. 3B), a first identifier of the food and a second identifier of the food through the scanner, The monitoring unit 420 may match the food and the sensing node 110. In this case,

The monitoring unit 420 may store and update the food environment information in the history information of the food based on the second identifier of the sensing node 110 received through the repeater 120. [ For example, temperature, humidity, gas concentration, and drug information measured through the sensing node 110 may be stored and updated in the history information of the food matched with the sensing node 110.

The monitoring unit 420 monitors the food environment information (or the food environment information stored in the history information of the food) generated through the sensing node 110 matched with the food, The state can be judged. Here, the reference environment information can be set based on the safety management certification standard or the like as described above.

Referring to FIG. 5A, the storage temperature (or storage temperature) for each fruit is shown, and the storage temperature for each fruit may be set differently. For example, the optimal storage temperature of grapes, blueberries, persimmon leaves, apples, and pears is 2 degrees or less, the optimal storage temperature of the banana is 19 degrees, and the optimum storage temperature of the tomato may be 16 degrees.

Similarly, the storage temperature, humidity (e.g., temperature, humidity) of other agricultural products (e.g., vegetables), aquatic products (e.g., biological fish, frozen fish), livestock products Etc. may be set differently from one another.

In addition, not only the storage / storage process of the food itself, but also the appropriate temperature and the like in the process of production / processing of the food (for example, the aging process of the livestock product, the drying process, the heating process and the cooling process) .

5B, the sausage is produced through a pulverizing process or a cooling process (S510 to S570). In the aging process (S530), the optimum temperature is 4 degrees or less, the drying temperature (S550) (S560), the optimum temperature at the time of the cooling step (S570) may be set to 80 degrees, and the optimum temperature at the cooling step (S570) may be set to 2 degrees.

The reference value for temperature, humidity, etc. may be provided to the food monitoring server 130 from the administrator terminal 170 or the like as reference environment information and stored in the database 470.

As shown in FIG. 5C, the monitoring unit 420 detects a sensing temperature (i.e., a temperature of the sensing node) such as the first graph GRAPH1 based on the reference temperature T_R (i.e., the reference temperature included in the reference environment information) Temperature information sensed through the temperature sensor 110 and stored in the food history information) is monitored to determine whether or not a temperature deviation occurs in the food, the number of times the temperature deviation occurs, and the time point / time at which the temperature deviation occurs. The monitoring unit 420 not only detects the temperature deviation occurrence place but also the reason for the temperature deviation occurrence (for example, the first interval P1 and the second interval P2) based on the position information at the temperature deviation occurrence period For example, work between the transport vehicle and the warehouse).

On the other hand, the monitoring unit 420 can calculate the lifetime of the food (for example, the remaining shelf life) based on a change in the sensing temperature such as the first graph GRAPH1. For example, the monitoring unit 420 may calculate the lifetime of the food using a known food quality prediction model (or a calculation formula).

In one embodiment, the monitoring unit 420 may determine the corruption state of the food based on the gas concentration contained in the food environment information. For example, if the concentration of ammonia is equal to or higher than the first reference value (ppm), the monitoring unit 420 may determine that the food is corrupt. For example, if the concentration of nitrogen dioxide is equal to or greater than the second reference value, the monitoring unit 420 may determine that the food is corrupted.

Referring again to FIG. 4, the analysis unit 430 may perform a component analysis on the measured drug (i.e., drug detection result) through the sensing node 110 (or the organic solvent sensor 214). The analysis unit 430 can determine a neutralizing agent capable of neutralizing a drug (for example, agricultural chemicals, antibiotics, etc.) based on the result of the component analysis.

2A, when the sensor module 210 includes the biosensor 215 and the fine dust sensor 216, the analysis unit 430 may determine the type of food (for example, agricultural products, Disinfectants, antibiotics, etc., and the sanitary condition of the place (for example, a farm, a house, a processing factory, a farm) where the sensing node 110 is disposed Can be determined. In particular, the correlation between the fine dust and the quality of the food, that is, the influence of the fine dust concentration on the food, can be analyzed.

2B, the analyzer 430 analyzes the biological signals of the livestock obtained through the vital sensor 217 (in particular, the initial stage of the disease and the body temperature at the time of antibiotic administration) , It is possible to judge whether antibiotics are used for livestock.

The history verifying unit 440 judges whether or not the food history information is forged or faked based on the first weight information indicating the current weight of the food (or the weight after processing of the food) and the second weight information indicating the weight of the food before processing can do. Here, the first weight information is obtained through the balance system 150 described with reference to FIG. 1, and the second weight information is obtained from the coordinating institution server 180 (for example, an animal product history database server) As shown in FIG.

For reference, there is a case of changing the grade of the food in the process of processing and distribution of the food. For example, a grade 1 certificate of illegally copied beef of grade 2 is affixed to be sold as grade 1 beef . In order to prevent forgery and falsification of the food history information such as illegal copying of the grade judgment document, the history verifying unit 440 checks the first weight information (i.e., the actual weight of the processed food) and the second weight information The weight of the processed food estimated from the weight of the product, the abnormal weight).

For example, the hysteresis verifying unit 440 calculates the abnormal weight of the processed food based on the second weight information (i.e., the weight before processing) before processing the food. For example, The abnormal weight of bovine sirloin (that is, the bovine sirloin through the processing of the bovine sirloin area) based on the statistical data (for example, statistical data on the weight ratio reduced by the processing of the femur and the like) Can be predicted. Thereafter, the hysteresis verifying unit 440 obtains the first weight information of the processed food (or the weight information of the processed foods derived from the original product), and determines whether the first weight information exceeds the abnormal weight, It is possible to judge whether or not a certain error range is set. If the first weight information is greater than the abnormal weight, the hysteresis verifying unit 440 may determine that the processed food is a hysteretic product, and store the result of the determination in the history information of the food.

In one embodiment, the hysteresis verifier 440 may control issuance of a hysteresis label (e.g., a hysteresis label including the rating of the food) for the food based on the calculated abnormal weight of the food. For example, a process of attaching a hysteresis label to a processed food (or a package of processed food) produced by processing a raw product in a processing factory may be performed. Here, the history verifying unit 440 may limit the number of output of the history label based on the abnormal weight. For example, if the abnormal weight is 35 kg and the processed foods are manufactured in units of 10 kg, the hysteresis verifying unit 440 determines the history of the processed foods associated with the original product (for example, the highest grade processed foods) The number of times of label output can be limited to three. As another example, if the abnormal weight is 35 kg and the issuance of a hysteresis label for 40 kg of processed food is requested, the hysteresis verifier 440 can restrict issuance of the hysteresis label. Therefore, the history verifying unit 440 can prevent forgery and falsification of the food history information.

The input / output unit 450 receives information related to the setting of the food monitoring server 130 from the outside, and outputs the setting result information. For example, the information related to the setting of the server 130 may include the stability management authentication standard, the reference environment information set by the stability management authentication standard, the food quality prediction model (and its coefficient), data (e.g., And the like.

The location tracking unit 460 may track the movement path of the moving means (or food) provided with the repeater based on the location information provided through the repeater 120. [ In addition, the location tracking unit 460 may generate an arrival alarm when the moving means enters the third area set on the basis of the first point. An arrival alarm can be provided to the user terminal 160.

Referring to FIG. 5D, the location of a transportation vehicle that transports food or food is displayed on a map, and the map can be displayed through a user terminal 160 or the like.

The location tracking unit 460 (or the food integrated distribution system 100) receives location information from one of the sensing node 110, the repeater 120 and a GPS module associated therewith, To be displayed. Further, the position tracking unit 460 can display the moving direction of the food or transportation vehicle based on the change of the position information.

On the other hand, when the moving vehicle is moving while setting a specific target point DP (for example, a warehouse) as a destination, the position tracking unit 460 calculates the moving distance to the destination of the moving vehicle, , And can generate an arrival alarm if the remaining distance is within a certain distance (e.g., 1 Km). Here, the destination information may be input by the user located at the origin of the driver of the transportation vehicle, and the arrival alarm may be provided to the user terminal 160 located at the destination based on the destination.

In one embodiment, the location tracking unit 460 may retrieve a moving vehicle, a storage space adjacent to or closest to the moving vehicle, or another moving vehicle.

For reference, the biggest problem among the logistics delivery is the failure of the vehicle and the accident occurrence. In the case of a refrigerated car, there is a high loss rate of logistics due to a car breakdown and accidents, and there may also be cases of return from a supplier. Accordingly, when a vehicle breakdown or an accident occurs during transportation, if an accident location is transmitted through the food integrated logistics system 100, the user can find the closest storage place or an individual vehicle, and collect and deliver the goods using the vehicle. For example, you can keep your vehicle for storage during repair, shipment by truck, or until you wait for another vehicle from the shipper. Therefore, a safer delivery completion effect can be expected.

Referring again to FIG. 4, the database 470 may store food environment information, reference environment information, and food history information. In addition, the database 470 may store food management standards, food sanitation related laws, and reporting information (e.g., reporting procedures).

The information providing unit 480 may provide at least one of the food control standard, the food hygiene regulation, and the notification information corresponding to the specific food to the user terminal 160. For example, when the food history (or the state information of the food) of a specific food is inquired through the user terminal 160 and it is estimated that there is an abnormality in storage of the food, the information providing unit 480 Provide food control standards (eg, HACCP) and food hygiene laws / regulations necessary to determine whether the food is in fact defective or not. To the user terminal 160.

The control unit 490 includes a communication unit 410, a monitoring unit 420, an analysis unit 430, a hysteresis verification unit 440, an input / output unit 450, a position tracking unit 460, a database 470, Lt; RTI ID = 0.0 > 480 < / RTI >

As described with reference to FIGS. 4A to 5D, the food monitoring server 130 may determine the state of the food (for example, the state of corruption, the state of leaving the storage temperature, the state of refrigerated / frozen conversion food, Etc.) can be monitored and managed in real time.

The food monitoring server 130 determines whether the food history is forged or not by comparing the first weight information of the food obtained through the balance system 150 with the second weight information before processing of the food, You can manage the ruling.

FIG. 6A is a view showing an example of a balance system included in the food integrated logistics system of FIG. 1, and FIG. 6B is an example of a history label outputted from the balance system of FIG. 6A. 6C and 6D are views showing an example of food history information used in the food monitoring server of FIG.

6A, the scale system 150 may include a scale 610, a label printer 620, a metal detector 630, a scanner 640, a processing module 650, and an input / output module 660 . The balance system 150 is used in a food production factory, a processing factory, etc., and can be used for packaging for food delivery / sale.

The balance 610 receives the history number of the food and can measure the weight (or weight) of the food to generate the first weight information. For example, if food is placed on the weighing part of the scale 610, the scale 610 can measure the weight of the food and receive the food history number via a separate barcode scanner, QR scanner. The first weight information of the food may be provided to the processing module 650 (or the food monitoring server 130) along with the history number of the food.

The label printer 620 may output history information including the history number of the food and the first weight information to the history label (or history label). Here, the history information may be provided from the processing module 650 (or the food monitoring server 130).

6B, the hysteresis label includes basic information such as a product name, a sex, a country of origin, etc. of the food. For example, when the food is a processed food, basic information includes history information of the original product (E.g., history information provided from the server 180). On the other hand, the hysteresis label may include additional information such as the weight (i.e., the first weight information) measured at the scale 610 and the date of manufacture, effective date, processing field (or production site) In addition, the history label includes an identifier (or identification information) such as a QR code and a barcode, and the identifier may correspond to the history number of the food. The QR code and bar code can be used to identify the food in the scanner 830 described later.

6C, history information (hereinafter referred to as " raw product history information ") of the food (for example, raw products as livestock products) provided from the cooperation institution server 180 is shown. The original product history information includes identification information such as a history number, an object identification number, and the like, and basic information (or production / processing information) such as the date of filing or slaughter date and the rating information such as slaughter inspection, (Or rating determination result information). Here, the history number of the original product, the meat grade name, and the conductor may be used in the hysteresis verifying unit 440 described with reference to Fig. 4 (or a configuration for judging whether the food is forged or forged).

The metal detector 630 (or metal detector) can detect metal entrapment in the food to produce metal detection result information.

The scanner 640 may be disposed downstream of the metal detector 630 to read the identifier of the food (i. E., At least one of the QR code and the bar code). In this case, the food may be scanned by the scanner 640 after passing through the metal detector 630. The scanner 640 may generate passage completion information indicating that the food has passed through the metal detector or may increase the number of metal detection passes of the food when the food is scanned. The passage completion information or the number of times of metal detection can be stored in the food history information.

4, the processing module 650 includes first weight information indicating the current weight of the food (or weight after processing of the food), and weight information indicating the weight of the food before processing It is possible to determine whether the food history information is forged or not based on the second weight information.

For example, the processing module 650 calculates the abnormal weight of the processed food based on the second weight information (i.e., the weight before processing) of the food before processing, To determine whether the first weight information exceeds the abnormal weight or is out of the specified error range set on the basis of the abnormal weight. If the first weight information is greater than the abnormal weight, the processing module 650 may determine that the processed food is a hysteretic product and provide the determination result to the food monitoring server 130.

In one embodiment, the processing module 650 may control the issuance of a history label for the food based on the abnormal weight of the calculated food. The processing module 650 may limit the number of times of issuance of the history label of the food corresponding to the specific history number or suspend / prohibit the issuance of the history label itself.

When the balance system 150 is interlocked with the food monitoring server 130, the processing module 650 or the hysteresis verifying unit 440 can perform forgery prevention function of the food history information.

6D, the food history information stored in the food monitoring server 130 may include at least one of a metal detector passing item (or metal detection frequency information), a metal presence / absence item (i.e., metal detection result information) and a history forgery / That is, a history verification result).

6A, the input / output module 660 receives the history number of the food from the user, or outputs the information included in the history label of the food. For example, the input / output module 660 may be implemented as a touch screen module.

As described with reference to FIGS. 6A to 6D, the balance system 150 measures the weight of food and outputs a history label (or a history label), wherein the weight information of the original product, It is possible to judge whether the food history information is forged or not based on the first weight information of the food and to control the output of the history label based on the forgery determination result. Thus, management and control of food history forgery and alteration may be possible.

The environmental controller 140 controls the temperature of the first region (or the second region including the first region) where the food is located, and can automatically remove the property occurring within the first region.

The environmental controller 140 may include a heater 710 (or a defrost heater), a temperature sensor, a power meter, and a controller 720.

The heater 710 can control the temperature of the first region by performing heat exchange using a refrigerant compressed by the compressor and expanded at a low pressure. The temperature sensor may be disposed in a heater 710 (or a line where heat exchange is performed) to measure the temperature of the heater. For example, a plurality of temperature sensors can be arranged evenly distributed to the heater 710. [ The power meter can measure the power consumption according to the operation of the heater 710.

The controller 720 predicts the defrosting time at which the heater 710 is blown through the analysis of the measured value and the power consumption of the temperature sensor, and operates the heater 710 based on the defrosting time. For example, the controller 720 determines a defrosting time point at which the plurality of temperature sensors exhibit a specific temperature deviation and the power consumption increases, and when the measured temperature of the temperature sensors exceeds the reference temperature (i.e., the temperature The heater 710 can be operated.

The environment controller 140 can reduce the power consumption and reduce the stimulation (e.g., freshness change) for the stored food by performing the defrosting operation by predicting the defrosting time based on the temperature rather than the timer method.

On the other hand, the environmental controller 140 may further include a temperature display device 730.

The temperature display device 730 can be connected to the administrator terminal 170 via wireless communication technology (e.g., LAN, WiFi, Zigbee, etc.) Alarm, etc.) to the administrator terminal 170, receives the set temperature information from the administrator terminal 170, and transmits the set temperature information to the controller 720. Accordingly, the administrator may be able to control the environment controller 140 remotely through the administrator terminal 170 and the temperature display device 730.

Hereinafter, the process of monitoring the food (and the food environment) and managing the history information of the food in the food integrated logistics system 100 of FIG. 1 will be described in detail throughout the entire production or sale of the food . First, the history of foods such as aquatic products, livestock products, processed foods, etc. will be explained, and then the method of food monitoring used in the history flow of foods will be described.

8A is a flow chart showing a history flow of food.

Referring to FIG. 8A, a general food item may be finally provided to a consumer through a production process S811, a processing step S812, a distribution process S813, and a selling process S814. The operation of the food integrated logistics system 100 of Fig. 1 will be described in each step, for example, with aquatic products.

In the production process (S811), the food integrated logistics system 100 receives and stores producers, production numbers, drug usage details, and the like for fishery products produced in a joint fish market such as a wholesale market and a wholesale market, Number) and the shipment amount. Thereafter, the aquatic product can be delivered to the processing company.

In the processing step S812, the food integrated logistics system 100 can receive and store the stock information such as the production number, the stock amount, and the date of receipt of the seafood received from the producing site (for example, a fish market). On the other hand, aquatic products can be processed into a form that can be sold to consumers, and can be packaged and commercialized. In order to export aquatic products to a distributor, the food integrated logistics system 100 can receive and manage shipment information such as a processor, a shipment destination, and a shipment volume.

Meanwhile, in the processing step S812, an identifier (for example, a QR code, a bar code, or a microchip having these functions) is inserted into the food, and the real-time monitoring can be further specified and structured. For example, in the case of a fishery product, an identifier such as a microchip, a QR code, or a barcode may be inserted into the body of a fish such as a gill. As another example, in the case of livestock products, an identifier such as a microchip, a QR code, or a barcode may be inserted at the time of processing by site.

In the distribution process (S813), the food integrated logistics system 100 receives and stores the goods receipt information of the goods received from the processing company, and receives and stores the shipping information such as the distributor, the ship-to place, .

In the sales process (S814), at the retailer where the consumer can purchase the aquatic product, the consumer provides the history information on the aquatic product based on the identifier (i.e., QR code and history number) of the history label attached to the surface of the aquatic product package May be requested to the food integrated logistics system 100 via the user terminal 160 (e.g., via the aquatic history website, the mobile homepage, or the mobile application). Correspondingly, the food integrated logistics system 100 can provide the history information of aquatic products to consumers.

Meanwhile, the food integrated distribution system 100 can monitor the temperature / position of aquatic products in real time through the sensing node 100 disposed in a refrigeration packaging of aquatic products or the like. Accordingly, the sender can access the food monitoring server 130 through the user terminal 110 to check the temperature at the time of take-in and take-over, and the consumer can check the current temperature of the fish product, For example, temperature history, decay, etc.). The food monitoring method for monitoring the state of the food will be described later with reference to Fig.

FIG. 8B is a flowchart showing history flow of livestock products, and FIG. 8C is a flowchart showing an example of a processing step of FIG. 8B.

8A and 8B, the hysteresis flow of the livestock product of FIG. 8B includes a birth and breeding process S821, a production and shipping process S822, a slaughter process S823, a processing process S824, a distribution process S825, And a sales process (S826), and finally, can be provided to the consumer. The distribution process (S825) and the sales process (S826) included in FIG. 8B are substantially the same as the distribution process (S813) and the sales process (S814) described with reference to FIG. 8A, so that the description will not be repeated.

In the birth and feeding process (S821), the food integrated logistics system 100 (or, for example, a livestock history database server, such as the cooperating organization server 180) (E. G., History number, date of birth, type of entity, sex, etc.). In addition, the food integrated distribution system 100 can monitor the state of an individual (for example, whether or not an antibiotic is administered) and the state of a breeding facility in real time using a sensing node 110 disposed in an individual, can do.

During production and shipment (S822), the individual may be transferred from the producer to the slaughterhouse (or slaughterhouse) via the market, the livestock trader, or the like.

In the slaughtering process (S823), the individual is slaughtered at the slaughterhouse and the food integrated logistics system 100 (or the livestock product history database server) receives the slaughter process information (for example, slaughterhouse information, slaughter date, And store it.

In the processing step (S824), the slaughtered individual (carcass) can be processed, packaged and stored as a piece of meat, packed meat, and the like. The food integrated logistics system 100 monitors and controls the processing environment in real time in each step (or step) included in the processing step S824, and outputs the history information of the finished article (for example, weight information, Etc.), and may control the issuance of a history label (e.g., rating certificate) on the finished product.

As described above with reference to FIG. 8A, in the processing step (S824), an identifier (for example, a QR code, a bar code, or a microchip having these functions) is inserted into the food, have. For example, in the case of livestock products, an identifier such as a microchip, a QR code, or a barcode may be inserted at the time of processing for each site.

Referring to FIG. 8C, the steps S831 to S831, S832 to S832, S833 to S833, S834 to S833, S834 to S834, The food packing and packaging step S836, the storing step S836, the storage step S837, the shipping inspection step S838 and the shipping step S839 have the set reference temperatures respectively, It is possible to monitor whether or not it proceeds according to the set reference temperature (or reference environment information), and to control the environment of these.

On the other hand, in the vacuum packaging step (S834), a history label of the food may be issued and attached to the food. Here, the food integrated logistics system 100 determines whether the history information of the food is forged or not through the balance system 150, and can control the issuance of the history label based on the history information of the food and / have. A method of detecting forgery and falsification of food history information will be described later with reference to FIG.

In addition, in the metal detector passing step S835, the food integrated distribution system 100 can store not only the metal detector passing result but also the metal detector passing number (or the metal detector passing number) in the history information of the food.

Referring to FIGS. 1 and 9, a food monitoring method is performed in the food integrated distribution system 100 of FIG. 1 and can be performed throughout the hysteresis process of the food described with reference to FIGS. 8A to 8C.

The first identifier of the food and the second identifier of the sensing node 110 may be scanned through the scanner 900 (S900). Here, the scanner 900 is disposed at a specific position, for example, in a packaging process of a food, and can be disposed on a path through which the food enters the packaging member.

The food monitoring server 120 receives the first identifier of the food from the scanner 900 and the second identifier of the sensing node 110 (S910), receives the identifiers (S915) until the second identifier is scanned, When the second identifier is scanned, the first identifier and the second identifier may be matched and stored (S920). For example, a plurality of first type identifiers for a plurality of foods received until a second identifier is received may be inter-matched with a second identifier. Here, the first type identifiers are identifiers assigned to foods, and may include a first identifier.

Meanwhile, the sensing node 110 senses the environmental information of the first region where the food is located to generate food environment information (S930), and transmits the second identifier and the food environment information to the food monitoring server through the relay 120 (S935).

In one embodiment, it is determined whether transmission of the food environment information of the sensing node 110 has been successfully performed (S940), and if the transmission is not performed, the food environment information may be stored in a separate memory device (S945 ). For example, when the transmission output of the sensing node 110 is lowered, the sensing node 110 may temporarily store the food environment information and retransmit the stored food environment information after the transmission output is normally restored .

The food monitoring server 130 searches the reference environment information (e.g., reference temperature, reference humidity, etc.) set in the food based on the second identifier of the sensing node 110 (S950) The state of the food can be determined based on the information (S960).

In one embodiment, the food monitoring server 130 (or the method of FIG. 9) can determine the corruption state of the food or the hygiene state of the first region based on the gas concentration contained in the food environment information. Here, the gas concentration may include at least one of nitrogen dioxide concentration, ammonia concentration, and carbon monoxide concentration in the first region, as described with reference to Fig.

In one embodiment, the food monitoring server 130 (or the method of FIG. 9) determines whether the food is refrigerated / freeze-switched based on temperature information included in the food environment information, It is possible to determine whether or not the drug is used in the first region. Here, the drug information may be measured by the organic solvent sensor 214 included in the sensing node 110, including at least one of the pesticide, pesticide, and antibiotic in the first region, as described with reference to FIG. 2A .

In one embodiment, the food monitoring server 130 (or the method of FIG. 9) can analyze the components of the drug based on the drug information and determine neutralizing agents that neutralize the drug based on the result of the component analysis .

In one embodiment, the food monitoring server 130 (or the method of FIG. 9) may determine whether to administer the drug to the animal based on the bio-signals contained in the food environment information. Here, the biological signal includes at least one of the body temperature and the heart rate of the livestock, and can be measured through the vital sensor 240.

In one embodiment, the food monitoring server 130 (or the method of FIG. 9) determines the disinfection timing for the first area based on at least one of the air pollution level and the amount of the germs contained in the food environment information, The air pollution degree and the amount of germs can be measured by the biosensor 215 included in the sensing node.

On the other hand, the food monitoring server 130 (or the method of Fig. 9) can control the air purifier based on the air pollution degree. Here, the air purification apparatus is disposed in the first area and can be connected to the food monitoring server through a network.

In one embodiment, the food monitoring server 130 (or the method of Figure 9) can analyze the correlation between the fine dust concentration included in the food environmental information and the food grade information. Here, the fine dust density is measured by the fine dust sensor 216 included in the sensing node 110, and the food grade information can be set / determined in a food production process or a processing process.

In one embodiment, the food monitoring server 130 (or the method of FIG. 9) can determine the state of the first region based on at least one of the oxygen dissolved amount, water quality, and carbon dioxide contained in the food environment information . At least one of the oxygen dissolved amount, the water quality, and the carbon dioxide may be measured by a water quality sensor included in the sensing node 110.

As described with reference to Figs. 1 and 9, the food monitoring method of Fig. 9 senses the environmental information of the first area where the food is located through the sensing node 110, and based on the food environment information and the reference environment information It is possible to monitor and manage the state of the food (for example, the state of corruption, the state of leaving the storage temperature, whether the food is refrigerated / frozen conversion food, etc.) in real time. Thus, the food integrated logistics system 100 minimizes possible physical / chemical / biological hazards to the food and allows the user to use the safe food with confidence in the food.

Referring to FIGS. 1 and 10, a food history information forgery detection method is performed in the food integrated logistics system 100 of FIG. 1 and / or the balance system 150 of FIG. 6A included therein, (S824) and the vacuum packaging process (S834) to the original product packaging process (S836) described with reference to FIG. 8C.

The food monitoring server 130 (or the processing module 650 of the balance system 150) receives food history information of the original product (e.g., history information of the carcass before being processed into packaged meat) from the cooperating organization server 180, (S1010).

The food monitoring server 130 may calculate the abnormal weight of the food (e.g., packed meat) based on the second weight information included in the food history information (S1028).

On the other hand, the balance 610 receives the history number of the processed food, calculates the first weight information by measuring the weight of the processed food (S1030), and transmits the first weight information to the food monitoring server 130 (Step 650).

On the other hand, the food monitoring server 130 searches the database 470 for the original product corresponding to the processed food (or the second weight information of the original product, abnormal weight) based on the history number of the processed food, (Or based on the first weight information and the abnormal weight) on the basis of the information and the second weight information (S1050).

As described with reference to FIGS. 4 and 6A, the food monitoring server 130 may determine whether the first weight information exceeds the abnormal weight or is out of a predetermined error range set on the basis of the abnormal weight.

If the first weight information is greater than the abnormal weight, the food monitoring server 130 determines that the processed food is a hysteretic product (S1060), and may limit the output of the label printer 620. [

Alternatively, if it is determined that the history information of the processed food is normal, the food monitoring server 130 updates the history information of the food based on the first weight information (S1070), and transmits the history information to the label printer 620 (S1080).

In this case, the label printer 620 may output the history label sheet based on the history information provided by the food monitoring server 130 (or the processing module 650) (S1090).

In one embodiment, the method of FIG. 10 utilizes a metal detector 630 to detect metal entrapment in the processed food to produce metal detection result information, and to send food (e. G., A QR scanner) To generate information on the number of times of metal detection, and to update the history information of the food based on the metal detection result information and the metal detection passage count information.

As described with reference to FIGS. 1 and 10, the food history information forgery detection method of FIG. 10 compares the first weight information of the food obtained through the balance system 150 with the second weight information of the food before processing, It is possible to judge whether or not the food history is forged or altered, and in particular, to manage the redundancy grade judgment document.

On the other hand, the food history information forgery detection method (or step) of FIG. 10 may be included in the food monitoring method of FIG.

The present invention can be applied to a food monitoring system, a food monitoring method, and the like.

While the present invention has been described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims. It will be understood that the invention may be varied and changed without departing from the scope of the invention.

100: Food Integrated Logistics System

110: sensing node

120: repeater

130: Food monitoring server

140: Environmental controller

150: Balance system

160: User terminal

170:

180: Cooperating agency server

210: Sensor module

211: Temperature sensor

212: Humidity sensor

213: Gas sensor

214: Organic solvent sensor

215: Biosensor

216: Fine dust sensor

217: biological signal measurement unit

220: Communication module

230: Battery module

240: Vital sensor

410:

420: Monitoring section

430: Analysis section

440:

450: input / output unit

460:

470: Database

480: Information provision

490:

610: Scales

620: Label printer

630: Metal detector

640: Scanner

650: Processing module

660: I / O module

710: Heater

720:

730: Temperature display

Claims

A first sensing node located in a first area where food is located and sensing environmental information of the first area to generate food environment information;

A first relay disposed in a second area differentiated from the first area, the first relay receiving the food environment information; And

The first identifier of the food and the second identifier of the first sensing node are matched and stored, and the second identifier and the food environment information are received through the first relay, and based on the second identifier, And a food monitoring server for searching the reference environment information set for the food and determining the state of the food based on the reference environment information and the food environment information.
2. The food processing apparatus according to claim 1, wherein the first region is an inner space of a first packaging member for packaging the food,

Wherein the second area is an independent space separated from the first area and capable of controlling at least one of temperature and humidity inside.
2. The method of claim 1,

A temperature sensor for measuring a temperature of the first region;

A humidity sensor for measuring the humidity of the first area;

A gas sensor for measuring a gas concentration including at least one of a nitrogen dioxide concentration, an ammonia concentration, and a carbon monoxide concentration in the first region;

An organic solvent sensor for detecting a drug containing at least one of pesticides, insecticides and antibiotics in the first region; And

And a communication module for transmitting the food environment information including the temperature, the humidity, the gas concentration, and the drug concentration to the relay device,

Wherein the food monitoring server periodically stores the food environment information in the history information of the food and determines the degree of corruption of the food based on the gas concentration.
The food integrated logistics system according to claim 3, wherein the food monitoring server analyzes a drug detection result of the organic solvent sensor to determine a neutralizing agent for neutralizing the drug.
The method according to claim 1,

Further comprising a vital sensor for measuring a biological signal including at least one of body temperature and heart rate of a livestock,

Wherein the food monitoring server determines whether to administer a drug to the animal based on a change in the bio-signal.
6. The method of claim 5,

A second sensing node for sensing environmental information of a third region where the animal is located and generating the form environment information; And

And a second repeater for transmitting the environment information to the food monitoring server,

Wherein the food monitoring server determines whether to administer a drug to the animal based on the habitat environment information and the bio-signal.
6. The method of claim 5, wherein at least one of the first sensing node and the second sensing node comprises:

Further comprising a biosensor for measuring at least one of an air pollution degree and a bacterium amount,

Wherein the food monitoring server determines a disinfection timing for the first region or the third region based on the measured value of the biosensor.
8. The method of claim 7,

Further comprising an air purifier disposed in at least one of the first region and the third region,

Wherein the food monitoring server controls the air purifier based on the air pollution degree.
6. The method of claim 5, wherein at least one of the first sensing node and the second sensing node comprises:

Further comprising a fine dust sensor for measuring a fine dust concentration,

Wherein the food monitoring server analyzes a correlation between the fine dust concentration and the grade information of the food.
4. The method of claim 3, wherein the food comprises at least one of fruit and vegetables,

The first sensing node may further include a biosensor for measuring an air pollution degree,

Wherein the food monitoring server determines whether or not at least one of the disinfectant and the pesticide for the first region is used based on the result of drug detection of the organic solvent sensor and the air pollution degree.
4. The food according to claim 3, wherein the food comprises at least one of an animal product, a marine product,

The first sensing node may further include a biosensor for measuring an air pollution degree,

Wherein the food monitoring server determines whether or not antibiotics are used for the first region and the hygiene state of the first region based on the drug detection result of the organic solvent sensor and the air pollution degree.
4. The food according to claim 3, wherein the food comprises at least one of an animal-processed food and an aquacultured food,

The first sensing node may further include a biosensor for measuring an air pollution degree,

Wherein the food monitoring server determines whether or not antibiotics are used for the first region and the hygiene state of the first region based on the drug detection result of the organic solvent sensor and the air pollution degree.
4. The method of claim 3, wherein the first region is a farm,

Wherein the first sensing node further comprises a water quality sensor for measuring at least one of an oxygen dissolved amount, a water quality, and carbon dioxide,

Wherein the food monitoring server determines the state of the first region based on the measured value of the water quality sensor.
The method according to claim 1,

Further comprising a balance system for measuring the weight of the food and outputting a history label,

The balance system comprises:

A balance for receiving a history number of the food and measuring the weight of the food to generate first weight information; And

And a label printer for outputting history information including the history number of the food and the first weight information to the history label,

Wherein the food monitoring server retrieves second weight information representing a pre-processing weight of the food in the database based on a history number provided in the balance system, Determines whether the history information is forged or not, and provides the history information to the label printer.
15. The system of claim 14,

A metal detector for detecting metals incorporated in the food;

A scanner for scanning the food through the metal detector; And

Further comprising a processing module for generating information on the number of metal detection passes based on a scan result of the scanner.
The food monitoring server according to claim 1,

Wherein the controller is configured to track the movement path of the moving means provided with the first repeater based on the position information provided through the first relay and to display the arrival alarm when the moving means enters the third region set on the basis of the first point. A food integrated logistics system with the characteristic to generate.
The method according to claim 1,

Further comprising an environmental controller for adjusting a temperature of at least one of the first region and the second region,

The environmental controller includes:

A heat exchanger for performing the heat exchange to regulate the temperature;

A plurality of temperature sensors uniformly disposed in the heat exchanger;

A power meter for measuring the power consumption of the heat exchanger;

A heater for removing frost generated in at least one of the first region and the second region; And

And a controller for estimating a defrosting time point at which the frost is generated through analysis of the measured values of the temperature sensors and the power consumption, and operating the heater based on the defrosting time point.
18. The method of claim 17,

Further comprising a temperature controller connected to the user terminal to operate the heat exchanger.
The food integrated logistics system according to claim 1, wherein the first area is a storage box.
[2] The method of claim 1, wherein the first sensing node has identifiers of different colors and mutually different types,

Wherein the use place is divided based on industries corresponding to types of food and companies performing production, processing, transportation, and sale, respectively.
The method according to claim 1,

Further comprising a user terminal connected to the food monitoring server for requesting provision of status information of the food,

Wherein the food monitoring server provides the user terminal with at least one of a food management standard, a food hygiene regulation, and report information corresponding to the food.
The method according to claim 1,

Further comprising a temperature regulator for regulating the temperature of the first region,

Wherein the food monitoring server controls the temperature regulating device based on the reference environmental information of the food.
The method according to claim 1,

Further comprising: a camera device disposed in the first area to photograph the food,

Wherein the food monitoring server determines the state of the food based on the color of the food in the image acquired through the camera device.