KR101661886B1 - Method and System for Determining Order of Agricultural Products for Sale Based on Wireless Sensor Network - Google Patents

Abstract

The present invention relates to a method and system for determining agricultural product sales ranking based on a wireless sensor network that determines the distribution period of agricultural products by measuring the distribution environment of agricultural products transported from a producer to a seller on the basis of a wireless sensor network, Wherein the agricultural product sales ranking method comprises receiving temperature and humidity data measured from a temperature and humidity measurement device coupled to a first sensor and stored in a first sensor and collected by a communication unit from a communication unit, Dividing the temperature and humidity data into section data at predetermined time intervals; calculating an average of the section data; calculating a section weight reduction rate of the agricultural product by substituting the average value into a prediction formula determined according to the humidity of distribution of agricultural products; And a step of accumulating the section weight reduction rate to reduce the total weight of the agricultural product ; And calculating the determining step includes the property the shelf life of produce, depending on the overall weight reduction.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0002] The present invention relates to a method and system for determining agricultural product sales ranking based on a wireless sensor network,

The present invention relates to a method and system for determining an agricultural product sales ranking based on a wireless sensor network, which determines a distribution period of an agricultural product by measuring a distribution environment of agricultural products transported from a producer to a seller, and determines a sales order of the agricultural product.

Currently, various production technologies and distribution technologies utilizing IT are being researched and developed in the field of agriculture, owing to the development of electric and electronic technology and information and communication technology (hereinafter referred to as IT).

For example, IT-based agricultural technology can be widely used for the production and distribution of agricultural products such as automatic green house and housing management technology, quality control through electronic commerce and traceability of agricultural products, and logistics and storage information management.

The use of IT in the agricultural sector can help to reduce the transaction costs, improve the distribution structure, enable differentiated distribution of agricultural products, and improve the quality of agricultural products by utilizing logistics information on agricultural products in real time in addition to e-commerce of agricultural products or traceability of agricultural products. Management and dispute resolution.

On the other hand, the agricultural distribution system utilizing some IT can provide the location information, the product information, the history information for the traceability management from the production to the sale, or the standard distribution period of the agricultural products, There is a limit to individually controlling the shelf life that varies depending on the size of the shelf. Indeed, if the exact shelf life of agricultural products is known, wholesalers can be useful in many ways, such as reducing the loss of agricultural products by selling preferentially to agricultural products with short shelf life.

Thus, in today's agricultural technology field combined with IT, there is a demand for a new agricultural product distribution technology that efficiently regulates the actual shelf life which is changed according to the distribution environment, for each agricultural product, and provides it to the wholesaler in real time.

Korean Patent Publication No. 10-2010-0012358 (2010.02.08)

In an embodiment of the present invention, a wireless sensor network-based wireless sensor network based on a wireless sensor network is used to determine the distribution period of actual agricultural products depending on the distribution environment, And to provide a method and system for determining agricultural product sales ranking.

In another embodiment of the present invention, the circulation environment of the agricultural products is monitored and monitored in the circulation process of the agricultural products from the producer to the seller on the basis of the wireless sensor network to analyze the circulation environment data to determine the expiration date of each agricultural product, The present invention provides a method and system for determining agricultural product sales ranking based on a wireless sensor network.

According to one aspect of the present invention, there is provided a method for determining agricultural product sales ranking based on a wireless sensor network, the method comprising the steps of: A method for determining an agricultural product sales ranking in a product sales ranking system connected through a network with a manufacturer, a seller, and a communication unit installed therebetween to collect data, comprising the steps of: Receiving temperature and humidity data from the communication unit stored in the sensor and collected by the communication unit; Dividing the temperature and humidity data into section data at predetermined time intervals; Calculating an average of the interval data; Calculating an average weight reduction rate of the agricultural product by substituting the average value into a prediction formula determined according to the humidity, which is a distribution environment of agricultural products; Calculating a total weight reduction rate of the agricultural product by accumulating the section weight reduction rate; And re-estimating the shelf life of the produce according to the total weight reduction rate.

In one embodiment, the step of reassessing the shelf life may include predicting the shelf life by referring to the pattern database in which the pre-stored agricultural product standard shelf life is recorded for the produce.

In one embodiment, the method for determining the agricultural product sales ranking based on the wireless sensor network further includes a step of determining the sales order of the large agricultural products on the basis of the expiration date information predicted for the agricultural products, and transmitting the sales ranking to the seller (the wholesaler, etc.) can do.

According to another aspect of the present invention, there is provided a system for determining an agricultural product sales order based on a wireless sensor network, the system including a producer, a seller, and a distributor for collecting data of a first sensor through wireless communication with a first sensor, A system for ranking agricultural produce sales orders linked via a network with communication units installed therebetween, the system comprising: a temperature and humidity measurement device coupled to a first sensor for measuring temperature and humidity data stored in a first sensor and collected by a communication unit; A transmission / reception unit receiving from the communication unit; A processor coupled to the transceiver; And a memory coupled to the processor and storing temperature and humidity data. Here, the processor divides the temperature and humidity data by the program stored in the memory into the section data of the time window of a predetermined time interval, calculates the average of the section data, and calculates an average by a prediction The total weight reduction rate of the agricultural product is calculated by accumulating the weight reduction rate of the section, and a series of processes of defining the expiration date of the agricultural product according to the total weight reduction ratio is performed.

In one embodiment, the processor includes a sales ranking determining unit for predicting the expiration date by referring to the pre-stored agricultural product standard expiration date pattern database for the agricultural products and determining the sales order of the large agricultural products based on the expiration date information predicted for agricultural products And transmits the sales order determined by the sales order decision unit to the seller (wholesaler, etc.) through the transmission / reception unit.

According to the present invention, by collecting agricultural distribution environment data on the basis of a wireless sensor network and estimating the expiration date through a prediction formula of the weight change according to temperature and humidity affecting the quality of the agricultural product during the storage and distribution of agricultural products, It is possible to efficiently determine the sales order of agricultural products based on the deadline. In addition, it is possible to efficiently sell the agricultural products by providing the deadline for the distribution of the goods and the sales order of the agricultural products in the wholesalers etc., Can reduce the waste agricultural products due to.

1 is a schematic diagram of an overall system configuration for explaining an agricultural product sales ranking system based on a wireless sensor network according to an embodiment of the present invention;
2 is a block diagram of a sensor module that can be employed in the system of FIG.
Figure 3 is a block diagram of a communication unit employable in the system of Figure 1;
Fig. 4 is a block diagram of the agricultural product sales ranking system of Fig. 1
FIG. 5 is a flowchart illustrating the process of monitoring the agricultural product yield and the flow rate of the system of FIG.
6 to 11 are diagrams showing steps of monitoring the agricultural product yield and the flow rate of the agricultural products in FIG. 5
12 is a block diagram of an agricultural product sales ranking system usable in the system of FIG. 1
13 is a flow chart of a method of determining agricultural product sales ranking based on a wireless sensor network according to an embodiment of the present invention
Figure 14 is an exemplary diagram of agricultural distribution environment data available in the method of Figure 13;

Hereinafter, preferred embodiments will be described in detail with reference to the accompanying drawings. In the following description, well-known functions or constructions are not described in detail to avoid unnecessarily obscuring the subject matter of the present invention. In order to clearly explain the present invention in the drawings, parts not related to the description are omitted, and similar parts are denoted by similar reference numerals throughout the specification.

FIG. 1 is a schematic diagram illustrating an overall configuration of an application system for explaining an agricultural product sales ranking determination system based on a wireless sensor network according to an embodiment of the present invention.

1, the agricultural product yield and flow rate monitoring system (hereinafter simply referred to as 'agricultural product yield and flow rate monitoring system') using the agricultural product sales ranking system based on the wireless sensor network according to the present embodiment includes a first sensor 10, communication units 20a, 20b, 20c, 20d, and 20e, and agricultural product sales ranking system 30. [ The agricultural product sales ranking system (30) includes an agricultural product data processing system for processing agricultural product data.

In this embodiment, the agricultural product harvesting and distribution amount monitoring system is a system in which agricultural products are supplied from farmers who supply agricultural products and agricultural product distribution sensors 4, centered on agricultural product collection points (hereinafter referred to as agricultural product distribution sensors or APCs) It is built across wholesalers.

The first sensor 10 is installed in a packaging material 2 for packing the agricultural products produced in the farmhouse. The first sensor 10 can be embedded in the packaging material 2 or attached to the surface of the packaging material 2 or bonded to one end thereof.

The packaging material 2 may be in the form of a box, a flat or concave container, a band, a band, or a combination thereof. The packaging material 2 may be a packaging material having a predetermined standard and the standard of the packaging material 2 and the kind of the agricultural product packed by the packaging material 2 may be stored in advance in the first sensor 10. [ That is, the first sensor 10 having the preset basic information is attached to the package 2. Hereinafter, the packaging material to which the first sensor 10 is attached may be referred to as a first standard packaging material.

The first sensor 10 may be implemented as a sensor module coupled with a temperature and humidity measurement device. The first sensor 10 may be implemented as a wireless sensor tag that wirelessly communicates with the communication devices 20a, 20b, 20c, 20d, and 20e within a predetermined distance.

The first sensor 10 can be attached to the packaging material 2 in an inactive state and can be supplied or sold to the farmhouse and detects the agricultural product packaged by the packaging material 2 to change from an inactive state to an active state . The first sensor 10 may be implemented to mount an operation sensor or a gravity sensor, or may be implemented to be activated by electromagnetic waves of a communication unit. The first sensor 10 may be implemented as a manual RFID (Radio Frequency Identification) tag without a battery mounted thereon.

(20a, 20b) for collecting data transmitted from a sensor node (first sensor) and transmitting the collected data to an agricultural product sales ranking system (30) through an infrastructure network, , 20c, 20d, and 20e.

Each communication unit includes a GPS (Global Positioning System), a WCDMA (Wideband Code Division Multiple Access), a WAN, or a combination of these communication interfaces. To the agricultural product sales ranking system (30).

Here, the position may be the position of the first sensor and the position of the agricultural product to which the first sensor is attached. Data transmitted from each communication unit 20a, 20b, 20c, 20d, and 20e to the agricultural product sales ranking system 30 is referred to as agricultural product data. The agricultural product data may include all the data transmitted from the communication units 20a, 20b, 20c, 20d, and 20e to the agricultural product sales ranking system 30 via the network.

The network is basically a wireless local area network (LAN) with a combination of WiFi, Bluetooth, Near Field Communication (NFC), Zigbee, ISA100, WirelessHART, Wireless Access in Vehicular Environment (WAVE) . Of course, the network may include a mobile communication network, a metropolitan area network (MAN), a public data network (PSDN), a wide area network (WAN), the Internet, a satellite network or a combination thereof connected to a wireless local area network.

In this embodiment, the communication unit comprises a first communication unit (Communication Unit 1, CU1) 20a, a second communication unit CU2, 20b, a third communication unit CU3, 20c, a fourth communication unit CU4, 20d And a fifth communication unit (CU5, 20e).

The first communication unit 20a is installed in a first farmhouse (farmhouse A) that produces a specific agricultural product (first agricultural product), and the second communication unit 20b is installed in a second farmhouse The third communication unit 20c is installed in the agricultural product processing center (APC) 4, and the fourth communication unit 20d is installed in the first wholesaler And the fifth communication unit 20e is installed in the second wholesaler. Here, the terms 'first' to 'fifth' are for distinguishing between only one and the other.

The first communication unit 20a and the second communication unit 20b can collect the harvesting position or the initial position of the agricultural product through the initial position information of the first sensor 10. In addition, the first communication unit 20a and the second communication unit 20b can collect information on the number of agricultural products by the number of the first sensors 10 or the number of agricultural products data. The number of agricultural products may be the number of agricultural products themselves or the number of packaging boxes (first standard packaging material, see 2a in FIG. 6) containing a predetermined number of agricultural products or the number of first standard packaging materials (2) have.

The configurations of the first to fifth communication units 20a to 20e are substantially the same except that they are installed at different places. Therefore, in the description of the configuration that is commonly applied to most of the communication units, it will be referred to simply as the communication unit 20 (see Fig. 4).

In this embodiment, the communication unit 20 collects the temperature and humidity data measured by the temperature and humidity measuring apparatuses (the first sensor unit and the second sensor unit) of the first sensor 10 from the first sensor 10 . The temperature and humidity data indicates whether the agricultural product has been exposed to the circulation environment of a certain temperature and humidity in the distribution process. The temperature and humidity data are stored in the communication unit 20 for a predetermined period of time, for example, a period of time, periodically or intermittently, To the agricultural product sales ranking system 30.

The first sensor 10 and the communication unit 20 can be used to grasp the position of the agricultural products packed by the packaging material 2 and the number of the agricultural products in real time and not only the distribution history of agricultural products, Temperature and humidity data of each agricultural product distributed in the market can be collected.

The agricultural product sales ranking system (30) receives agricultural product data from the communication unit (20). The agricultural product data may include location information of agricultural products, temperature and humidity information, etc., based on the position information of the first sensor 10. The temperature and humidity information can be referred to as agricultural product distribution environment data as a measure of the distribution environment of agricultural products. When the agricultural product data is received, the agricultural product sales ranking system 30 senses an event for the agricultural product based on the position information of the first sensor 10 and updates the database of the agricultural product based on the sensed event.

In the event detection, the agricultural product sales ranking system 30 detects that an event has occurred when the position information of the first sensor 10 is changed from the first position to the second position or is maintained for a certain time in the vicinity of the second place . The event refers to the agricultural product proceeding from the predetermined first circulation step or the immediately preceding circulation step to the current circulation step or the second circulation step at the circulation stage of agricultural products.

For example, an event may include an agricultural harvest event, a vehicle-mounted event, an APC arrival event, an agricultural goods receipt event, and a wholesaler arrival event. The database of the agricultural products refers to a bundle of data about the stored agricultural products so as to facilitate access, processing, updating, and operation. The agricultural product data is updated in the agricultural product sales ranking system 30 whenever an event is detected.

That is, the agricultural product sales ranking system 30 determines the sales order of the agricultural products based on the location information of the communication unit based on the location change of the sensors (harvesting agricultural products, packaging, loading / moving vehicles, purchasing agricultural products, Etc.) and updates the database of the agricultural products accordingly. Of course, in addition to the GPS location information, the location information may be obtained by using the location information of the access point (AP) of the wireless local area network or by using the combination of the GPS location information and the AP location information.

In addition, when the agricultural product data, particularly the agricultural product distribution environment data, is collected, the agricultural product sales ranking system 30 analyzes the agricultural product distribution environment data and determines the expiration date of the agricultural product.

For effective data analysis, the agricultural product sales ranking system 30 has a preset pattern database for standard expiration dates according to the temperature and humidity of agricultural products after harvest. That is, the agricultural product sales ranking system 30 analyzes the agricultural product distribution environment data of the temperature, humidity, or the combination of the agricultural products using the pattern database and the predetermined prediction formula to maintain the standard expiration date, The period may be shortened to determine the appropriate shelf life.

According to the above-described embodiment, it is possible to inform the wholesaler or the consumer of the expiration date of each agricultural product according to the distribution environment of the agricultural product. In this way, the wholesaler can reliably and promptly prioritize the sale of agricultural products according to the shelf life of the property, and can efficiently sell the agricultural products. The retailer or the consumer can easily view the shelf life of the agricultural products You can choose to purchase.

2 is a block diagram of a sensor module that can be employed in the system of FIG.

2, the sensor module 10 according to the present embodiment includes a first sensor unit 11, a second sensor unit 12, a microprocessor 13, an access point (AP) 14 And a control switch 15. The sensor module 10 corresponds to the first sensor, one sensor module 10 constitutes one sensor node, and a plurality of sensor modules 10 can be used to implement a wireless sensor network.

The first sensor unit 11 is a temperature sensor. The first sensor unit 11 measures the temperature of the agricultural product itself or the surroundings of the produce and outputs the temperature data of the measured temperature. The first sensor unit 11 may be implemented by various existing temperature detection units or components that perform functions corresponding to those means.

The second sensor unit 12 is a humidity sensor. The second sensor unit 12 measures the humidity around the agricultural product itself or the agricultural products and outputs the humidity data about the measured humidity. The second sensor unit 12 may be implemented as a variety of conventional humidity detection units or components that perform functions corresponding to those means.

Since the temperature data, the humidity data, or a combination thereof affects the shelf life of the agricultural products as the agricultural distribution environment data, the sensor module 10 periodically determines the shelf life of each agricultural product based on the agricultural distribution environment data, Collect agricultural environment data every hour.

The microprocessor 13 controls and manages the first sensor unit 11 and the second sensor unit 12, collects data from each sensor unit, and controls the entire sensor module. To this end, the microprocessor 13 includes a main system unit for receiving and processing external input data through the AP 14 and an analog digital converter (ADC) for converting an analog signal into a digital signal May be implemented. The microprocessor 13 also includes at least two ports to which the first sensor unit 11 and the second sensor unit 12 are respectively connected and at least one port to which the control switch 15 is connected and the AP 14 And at least one port connected thereto.

The main system section of the microprocessor 13 is operated by a control procedure. The control procedure refers to the program loaded on the module based on SPI (Serial Peripheral Interface) by creating the design of the sensor module and the control program based on it. The control procedure employed in the present embodiment is implemented so that the function of the module can be performed through initialization of the sensor module. The initialization process for the specific port of the microprocessor 13, the ADC initialization process, the initialization process for the timer / counter, the initialization process for the UART (universal asynchronous receiver / transmitter), and the initialization process for the interrupt Is a void init_device (void) function (hereinafter simply referred to as an'initialization function '). This initialization function can be implemented in a firmware format and loaded into a microprocessor, as shown in Table 1 below.

As shown in Table 1, in the void port_io_init (void) function, an initialization process is performed for a plurality of ports (ports B to D) to be used as input / output ports. In the void analog_comp_init (Disable). Here, initialization is performed for the input of the temperature and humidity data, the LED output, and the output port for transmission of the input data.

In the void timer_counter_init (void) function, an initialization process for a timer or a counter is performed, and it is used as a timer necessary for data transmission / reception and interruption in the microprocessor 13. void uart_init (USART_BRATE_9600) function is used to set options such as 9600 bps, dual universal synchronous / asynchronous receiver / transmitter (UART) transmission rate, and multiprocessor communication mode as functions for initializing UART for data transmission. Also, although not shown in Table 1, the void turn_on_watchdog (USART_value) function is designed to check the occurrence of an event while checking a certain time.

The AP 14 is responsible for connection with the communication unit. The AP 14 may be implemented as a means for receiving input data or a component performing a function corresponding to such means.

The control switch 15 is connected to the microprocessor 13 and the AP 14. When the sensor module 10 is in the inactive state and in the standby mode, the control switch 15 outputs the output signal of the operation sensor or the gravity sensor, The microprocessor 13 can generate a control signal at a predetermined level according to a signal input through the microprocessor 13, thereby transitioning the microprocessor 13 from the inactive state to the active state.

The means for generating the control signal and the circuitry performing the function corresponding to this means may be mounted within the control switch 15 but are not limited thereto and may be located within the AP 14, (15).

In the active state, the microprocessor 13 stores the input data of the first sensor unit 11 and the second sensor unit 12 in an internal memory by a previously stored control program. The microprocessor 13 may include a clock generator, a transmitter, and a receiver as a controller in a serial synchronous (or asynchronous) operation mode. The microprocessor 13 may be a full-duplex system in which the transmission / A parity checker by a parity bit generator and hardware, a data overrun detection function, a framing error detection function, a transmission (TX) detection function, And receive (RX) interrupts, and these functions can be implemented to be controlled through a program.

According to the present embodiment, temperature and humidity data of agricultural products can be stably obtained within a predetermined variation range through the implemented sensor module. According to the sensor module (first sensor) having such a temperature and humidity measuring device, it is possible to realize a low-cost function for managing IT-based agricultural products distribution and ease of sensor design.

3 is a block diagram of a communication unit employable in the system of FIG.

3, the communication unit 20 according to the present embodiment includes a processor 21, a memory 22, and a transceiver 23. The communication unit 20 collects agricultural product data from a plurality of sensor modules (first sensor), and transmits the collected agricultural product data to the agricultural product sales order determination system in real time.

The processor 21 executes the program stored in the memory 22, more specifically, the components of the communication unit 20. [ The processor 21 recognizes the first sensor by the program and stores the position information of the first sensor, collects the data (agricultural product distribution environment data, etc.) stored in the first sensor, and stores the collected data in the agricultural product sales order determination system Lt; / RTI > The processor 21 refers to a central processing unit (CPU) or microprocessor for executing instructions interpreted and interpreted by a program.

The memory 22 stores programs that are coupled to the processor and run in the processor. The memory 22 includes a non-volatile memory such as a ROM and a volatile memory such as a RAM, but is not limited thereto.

The transceiver 23 includes a wireless local area communication interface for wireless communication with the first sensor. For example, the transceiver 23 may include an RFID reader. The transmission / reception unit 23 may include a communication interface such as a mobile communication network, a WAN, and a WCDMA.

According to the present embodiment, the communication unit 20 is connected to the first sensor by wireless communication and is connected to the agricultural product sales order determination system through the network, so that the data of the first sensor (agricultural product distribution environment data and the like) Data (location information, etc.) is transmitted in real-time to the agricultural product sales ranking system, thereby providing excellent reliability temperature and humidity data collected by a sensor module having excellent performance and used for setting the shelf life of agricultural products have.

4 is a block diagram of an agricultural product sales ranking system that can be employed in the system of FIG.

4, the agricultural product sales ranking system 30 according to the present embodiment includes a transmission / reception unit 31, an event detection unit 32, an analysis unit 33, A storage unit 34, a memory 35, and a storage unit 36.

The transceiver 31 receives the agricultural product data collected by the first sensor through a communication unit (see 20a to 20e in Fig. 1). The transmission / reception unit 31 is implemented by a communication unit connected to a communication unit through a network such as a mobile communication network, a WAN, a LAN, the Internet, or a satellite network, or a configuration unit (communication interface or the like) performing a function corresponding to such a unit.

The event detection unit 32 detects a preset event based on the position information of the first sensor included in the agricultural product data. The event includes an agricultural harvest event, a vehicle-mounted event, an APC arrival event, an agricultural goods arrival event, and a wholesaler arrival event. For event detection, the event detection unit 32 refers to data such as a first sensor identifier stored in the storage unit 36, position information of the first sensor, communication unit identifier, communication unit address, and reference time for arrival estimation can do.

Here, the agricultural product harvesting event is automatically generated by the communication unit sensing the first sensor activated and activated by the first sensor, and the vehicle-mounted event is generated when the position information of the first sensor is transmitted to the communication unit (Second communication unit) installed in the vehicle, and the APC arrival event is generated when the position information of the first sensor is close to the position of the APC and is maintained for a predetermined time or more, Is generated when the position information of the first sensor is changed to the communication unit (third communication unit) having the address (IP address, etc.) of the APC, the wholesaler arrival event is generated when the position information of the first sensor is close to the position of the wholesaler (Another third communication unit) that has been maintained for a predetermined time or has a wholesaler's address.

The analysis unit 33 analyzes the temperature, humidity, or a combination of these data (agricultural product distribution environment data) contained in the agricultural product data. For data analysis, the analysis unit 33 may refer to a standard distribution period database (Pattern DB) calculated beforehand for agricultural products. The pattern database may be stored in the storage unit 26. Then, the analysis unit 33 determines the shelf life of the agricultural product according to the analysis result of the agricultural distribution environment data. The fixed shelf life is stored in the database of the relevant agricultural products.

The expiration date notification unit 34 is connected to the analysis unit 33 and the transceiver unit 31 and transmits the fixed expiration date information about the agricultural products to the wholesaler or the like. The expiration date notification unit 34 may be implemented as a unit connected to a computer of a wholesaler through the transmission / reception unit 34 or a component performing a function corresponding to the means. Here, the means or constituent unit may be a web page for posting information on the expiration date of agricultural products via a network or the Internet, or an application program executed on a computer device to transmit / receive expiration date information on an online or social network service have.

The event detection unit 32, the analysis unit 33, and the expiration date notification unit 34 may be implemented as a unit that performs a corresponding function in a single processor or a component that performs a function corresponding to the unit.

The storage unit 36 may be implemented as a storage medium such as a hard disk, an optical disk, a magnetic disk, or a flash memory. The storage unit 36 may be a cloud system installed on a specific server constituting the agricultural product sales ranking system 30, At least a part of the constituent parts of the semiconductor device. The storage unit 36 may include a database system for efficiently updating, processing, and operating large-capacity data.

The memory 37 may be substantially the same as the memory 22 of Figure 3 except for the data stored therein.

FIG. 5 is a flowchart illustrating the process of monitoring the agricultural product yield and the flow rate of the system of FIG.

Referring to FIG. 5, the agricultural product yield and flow rate monitoring process (hereinafter, simply referred to as 'agricultural product monitoring method') used in the method for determining the agricultural product sales ranking based on the wireless sensor network according to the present embodiment, 1 standard packing material is prepared at the farmhouse, and the communication unit is prepared to be installed in the farmhouse, agricultural transportation vehicle, APC and wholesaler (S51).

Agricultural products are packed in the packing material with the first sensor attached thereto (S52). Here, the first sensor recognizes the packaged produce, and its mode of operation transitions from inactive to active. At this time, the first communication unit installed at the farmhouse starts wireless communication with the first sensor, records the location information about the first sensor responding to the wireless communication, and collects agricultural data from the first sensor. The first communication unit transmits the collected agricultural product data to the agricultural product sales ranking system through the network. At this time, the agricultural product sales ranking system receives the real-time agricultural product data from the communication unit (S53), and detects the event based on the location information of the first sensor in the agricultural product data (S54). Then, the agricultural product sales ranking system updates the database of agricultural products according to the event detection (S55).

Next, the agricultural product sales ranking system analyzes the distribution environment data of the agricultural products and determines the distribution period of the agricultural products through the analysis (S56). The agricultural product distribution environment data includes temperature and humidity data of agricultural products obtained from the first sensor through the communication unit.

In order to reliably analyze agricultural product circulation environment data, the pattern database set for standard expiration date according to temperature and humidity during the distribution process of agricultural products after harvest is referred to and a predetermined prediction formula is used. For example, the shelf life can be implemented in a manner such that the shelf life is shortened by one day or a predetermined time in proportion to the number of times the temperature or humidity difference is greater than or equal to the reference value in the pattern database.

Next, the agricultural product sales ranking system notifies the APC, wholesaler or retailer of the agricultural product having the fixed distribution period (S57). APC, wholesaler or retailer can manage the freshness of the agricultural products to be sold by managing the shelf life of the APC, wholesaler or retailer together with the relevant agricultural products according to the temperature and humidity environment during the distribution process, Based on the priorities of the agricultural products can be more effectively sold.

According to this embodiment, it is possible to automatically measure the yield, circulation amount and circulation environment of the agricultural products harvested at the farmhouse, to determine the current shelf life of the agricultural products based on the measured data, and to utilize the agricultural products in future production plans.

FIGS. 6 to 11 are diagrams showing the steps of monitoring the agricultural yield and the flow rate of the agricultural product in FIG.

6, communication units 20a and 20b are installed in a first farmhouse (farmhouse A) and a second farmhouse (farmhouse B), respectively. When the agricultural product is packed in the box 2a to which the first sensor 10a is attached, the first sensor 10a is transferred to the active state by the movement of the box 2a or the agricultural products in the box 2a, 1 communication unit 20a.

On the other hand, the first sensor 10b attached to the box 2b in which agricultural products are not packaged is in an inactive state. Therefore, the second communication unit 20b of the second farmhouse is not receiving the agricultural product data from the first sensor 10b.

The first communication unit 20a transmits the data received from the first sensor 10a to the agricultural product sales ranking system 30. The agricultural product sales ranking system 30 senses an 'agricultural harvesting' event. The crop harvest event involves information on the number of harvested agricultural product boxes (2a), harvest location, i.e., geographical location (loc1). The agricultural product sales ranking system 30 updates the database according to the event.

In this embodiment, the agricultural product sales ranking system 30 monitors the yield (4Box) of fruits (Fuji apple, etc.) harvested at the first farm located at the first location loc1. The agricultural product sales ranking system 30 also determines the stock amount of fruits (agricultural products) received in the APC 4 as data collected from the first sensor 10c in the third communication unit 20c installed in the APC 4 Can be monitored.

Next, referring to FIG. 7, when the APC 4 senses the agricultural product harvest of the farm A, the APC 4 determines the agricultural product arrival time of the farm A. Depending on the time of arrival of the determined agricultural product, the agricultural product of the farm A can be transported to the APC 4 through the vehicle 8.

A vehicle (agricultural product transportation vehicle) 8 for transporting agricultural products is provided with a sixth communication unit 20f. A sensor node (first sensor) 10a provided in the agricultural product box 2a loaded on the vehicle 8 is configured to transmit the data transfer object to the first communication unit 20a of the farm A when the vehicle 8 moves away from the farm A To the sixth communication unit 20f of the vehicle 8. [

The sixth communication unit 20f transmits the data collected from the first sensor 10a to the agricultural product sales order determination system 30 together with the position Loc1-1 sensed by the sixth communication unit 20f of the vehicle 8, Lt; / RTI > Here, the agricultural product sales ranking system 30 senses an event of 'vehicle mounted' by moving the position of the first sensors 10a from the initial farmhouse A to another position.

The vehicle-mounted event is accompanied by the quantity and location of the agricultural product box mounted on the vehicle 8. For example, the agricultural product sales ranking system 30 may perform an update on the database based on the agricultural product data of the sixth communication unit 20f as shown in Table 2 below.

farmhouse Location 1 Position 2 Agricultural products purchase Payload Farmhouse A Loc1 Loc1-1 Apple 0 4Box

Next, referring to FIG. 8, if the position of the first sensor 10a continuously moves after the vehicle-mounted event and the position of the first sensor 10a approaches the position of the APC 4, The agricultural product sales ranking system 30 senses an 'APC arrival' event based on the location information included in the data from the sixth communication unit 20f.

According to the APC arrival event, the agricultural product sales ranking system (30) can update the database of agricultural products of the first farm (farm A) as shown in Table 3.

farmhouse Location 1 Position 2 Location 3 Agricultural products purchase Payload Farmhouse A Loc1 Loc1-1 Loc-APC Apple 0 4Box

On the other hand, in FIG. 8, when the agricultural product is packed in the box 2a having the first sensor 10b attached thereto at the second farmhouse (farmhouse B), the first sensor 10b transits to the active state, The second sensor 20b transmits the location information of the first sensor 10b and the agricultural product data received from the first sensor 10b to the agricultural product sales order determination system 30. [ The agricultural product sales ranking system 30 detects the agricultural harvest event at the farm B (Loc2) and creates or updates a database of the agricultural product.

The agricultural product data may include, but is not limited to, the stored agricultural product type, the box / packaging material type, the identifier of the first sensor 10b, and the agricultural product data of the present embodiment includes only the identifier of the first sensor 10b . ≪ / RTI > In this case, the agricultural product sales ranking system 30 stores other information about the agricultural products in correspondence with the identifier of the first sensor 10b, in the agricultural product sales ranking system 30 or in a server or cloud system It can be implemented to extract and use from a database.

9, when the communication unit with which the first sensor 10a communicates is changed to the third communication unit 20c with a fixed position (APC_Loc) in the APC 4, the agricultural product sales order determination system 30) detects an event called " agricultural product wearing ", and updates the database with the goods receipt processing for agricultural products of farm A (see Table 4).

farmhouse Location 1 Position 2 Location 4 Agricultural products purchase Payload Amount of stock Farmhouse A Loc1 Loc1-1 APC_Loc Apple 0 0 104Box

In Table 4, in addition to the existing stock 100Box, 4Box is additionally supplied to the farm A for agricultural products, and the total stock amount is accumulated as 104Box.

10, when the agricultural product box 2a is loaded on the vehicle, the agricultural product sales ranking system 30 is connected to the sixth communication unit 20f in the vehicle 8, And the temperature and humidity data at the position of each agricultural product box 2a is received from the sixth communication unit 20f after the vehicle is loaded on the agricultural product.

That is, the first sensors 10d attached to the agricultural product box 2a transmit temperature and humidity data measured in each agricultural product box to the sixth communication unit 20f, and the sixth communication unit 20f transmits temperature and humidity data And transmits all the data collected from the first sensors 10d including the humidity data to the agricultural product sales ranking system 30. The agricultural product sales ranking system 30 stores the temperature, humidity, or a combination of data collected by each first sensor 10d by time.

For example, the agricultural product sales ranking system 30 stores the agricultural product yield monitoring data in the first database, stores the APC input / output amount monitoring data in the second database, and stores the distribution environment monitoring data in the third database . Each piece of data can be stored in a Hadoop distributed file system. Here, Hadoop is configured to process data of tens to hundreds of gigabytes or more at low cost regardless of the data structure, and can be implemented as a MapReduce framework.

In the present embodiment, the distribution environment monitoring data includes temperature, humidity, time, and position information measured for each of the identifiers (sensor IDs) 1 to 9 of the first sensors 10d attached to the nine boxes, As shown in FIG.

11, if the position of the first sensor 10d continuously changes and approaches the destination address (Loc-wholesaler A) and does not change any more, the agricultural product sales ranking system 30 determines that the ' Arrival 'event.

When the wholesaler arrival event is detected, the distribution environment monitoring process ends. When the distribution environment monitoring process ends, the agricultural product sales ranking system 30 analyzes the temperature and humidity data collected through the distribution environment monitoring. That is, the agricultural product sales ranking system 30 estimates the expiration date by referring to the pattern database (Pattern DB), and calculates the expiration date for each sensor. The shelf life of each sensor is limited to the shelf life of agricultural products packed in box (first standard packing material) with the first sensor attached.

The agricultural product sales ranking system 30 can inform the wholesalers 6a and 6b of the fixed distribution period. Wholesalers (6a) can preferentially sell agricultural products with the shortest shelf life, thereby reducing the loss of agricultural products and maximizing profits.

On the other hand, in the present embodiment, it is explained that the APC 4 measures the temperature and humidity of agricultural products when the agricultural products are delivered from the APC 4 for convenience of explanation. However, the present invention is not limited to this. It is needless to say that the temperature and humidity of agricultural products can be measured and the measured temperature and humidity data can be used.

In the above-described embodiments, the first sensors are represented by different reference signs 10, 10a, 10b, 10c, and 10d depending on the distribution route or geographical position. However, can do.

12 is a block diagram of a system for determining an agricultural product sales ranking according to an embodiment of the present invention.

12, the agricultural product sales order determination system 30 according to the present embodiment includes a transmission / reception unit 31, a processor 35, a storage unit 37, and a memory 37. The processor 35 may include an event detection unit, an analysis unit, a sales order determination unit 38, and a shelf life notification unit.

The agricultural product sales ranking system 30 of the present embodiment has substantially the same configuration as the agricultural product sales ranking determination system described above with reference to FIG. 4, except for the sales ranking decision unit 38 mounted on the processor 35, Or redundant description of similar components is omitted.

The processor 35 is a device that executes a program stored in the storage unit 36 or the memory 37 and readable by the computer device. The program includes instructions for implementing the agricultural product sales ranking determination method (see S131 to S136 in FIG. 13 or S51 to S57 in FIG. 5 in addition). The processor 35 may be embodied as a microprocessor capable of interpreting instructions and controlling the computer device.

The sales order determining unit 38 determines the sales order of the agricultural products based on the shelf life defined by the processor 35. The selling order determining unit 38 is connected to the analyzing unit (see 33 in FIG. 4), and determines the selling order data including the serial number of the agricultural products having the shortest shelf life from the agricultural products having the shortest shelf life of the agricultural products, As shown in FIG. The sales order data may be transmitted to a wholesaler or the like via a network connected to the transmission / reception unit.

13 is a flowchart illustrating a method of determining agricultural product sales ranking based on a wireless sensor network according to an exemplary embodiment of the present invention.

Referring to FIG. 13, the method of determining the agricultural product sales ranking based on the wireless sensor network according to the present embodiment determines the distribution period of the individual agricultural products through the following series of processes, .

More specifically, the agricultural product sales ranking system (hereinafter simply referred to as an agricultural product management system) is a system for determining the agricultural product sales ranking from a plurality of communication units installed on a distribution path of an agricultural product between a producer and a seller, And humidity data (S131).

Next, the agricultural product management system divides temperature and humidity data into section data of time windows (Time windows, TW) at predetermined time intervals (S132). The time width of the time window TW may be between 6 and 18 hours, preferably 12 hours. If the time width of the time window TW is less than 6 hours, the amount of calculation becomes large while there is little difference in reliability or calculation result, and the system load can be remarkably increased. If the time width of the time window TW is 24 hours or more , The error may increase in a prediction equation (see Table 1) that calculates the weight reduction rate of the agricultural product according to the average humidity of the time window.

In the present embodiment, the time windows are implemented to have a constant time interval, but the present invention is not limited thereto and can be implemented with different time intervals. For example, the time window may be set to correspond to an event section of the distribution route. Here, the event may occur when the position of the agricultural product is changed according to a predetermined recognition criterion, such as a production site such as a farmhouse, a agricultural product transportation vehicle, a agricultural product distribution sensor, or a wholesaler.

Next, the agricultural product management system calculates an average of temperature or humidity data in each time window (S133). The temperature or humidity data of each time window corresponds to the interval data.

Next, the agricultural product management system calculates an interval weight reduction rate for each time window of the agricultural product using a prediction formula in which an average of temperature or humidity is substituted (S134). That is, in this step, the agricultural product management system substitutes the time of the time window into one of the predictive formulas of Table 1 in which an average of temperature or humidity in each time window belongs, .

Next, the agricultural product management system calculates the total weight reduction rate by accumulating the section weight reduction rate (S135). In the present embodiment, the agricultural product management system calculates a plurality of section weight reduction rates through each time window, and calculates an overall weight reduction rate by calculating an average of a plurality of section weight reduction rates. The calculation method of the weight reduction rate can increase the accuracy and reliability of the weight reduction rate of the agricultural product compared to the case of not using the time window since the weight reduction rate of the time window is used.

Next, the agricultural product management system reorders the distribution period of agricultural products according to the total weight reduction rate (S136). In this step, in order to reliably and promptly determine the distribution period of the agricultural product, the agricultural product management system may have a pattern database in which the standard distribution period of each agricultural product according to temperature and humidity is recorded.

Table 5 shows the storage temperature, humidity and storage period of agricultural products.

Table 6 shows the results of estimating the shelf life of agricultural products using the pattern database prepared based on the temperature, humidity and storage period of the agricultural products in Table 5. For example,

As can be seen from Table 6, the section weight reduction rates having the varied differences (L1, L2, etc.) from the standard weight reduction rates of the respective time windows (TW1 to TW6) are calculated under the atmosphere in which the safety standards of the agricultural products are secured during the distribution period The actual weight reduction rate of the agricultural product can be obtained by accumulating the section weight reduction rates of the respective time windows and averaging them. In this embodiment, the expiration date for a specific agricultural product is fixed at 9 days after subtracting 2/3 days or 1 day (rounded or rounded) from the standard 10-day (number confirmation standard).

The formula for the weight reduction rate of agricultural products is shown in Equation 1 below.

In the equation (1), wr represents the total weight reduction rate of the agricultural product, and wr _i represents the weight reduction rate in the time window tw _i , respectively. Here, wr _i is represented by the following equation (2).

In Equation (2), a and b are constants determined according to the humidity (R.H.). An example of Equation 2 according to humidity is shown in Table 7 below.

In Table 7, y represents the weight reduction rate of a particular agricultural product (apple), x represents time, r2 represents reliability, and R.H represents humidity.

Then, the agricultural product management system notifies the wholesaler of the fixed-product distribution period of the agricultural product (S137). The notification of the property distribution period of the agricultural product can be performed through a short message service providing server or a multimedia message service providing server on the network.

According to this embodiment, the yield and the distribution amount of the agricultural products harvested at the farmhouse can be automatically measured, and the agricultural product data can be used for the future agricultural product production plan based on the agricultural product data. In addition, wholesalers can sell agricultural products efficiently by determining agricultural product sales ratios according to the shelf life of agricultural products.

14 is an exemplary diagram of agricultural distribution environment data that can be used in the method of FIG.

As shown in FIG. 14, the state of farm products varies greatly depending on temperature and humidity, which are the main circulation environment in actual distribution. Therefore, in this embodiment, the prediction formula of Table 7 is utilized so that it can be applied even in a situation where temperature and humidity change dynamically during distribution of agricultural products.

That is, the present embodiment introduces the concept of time windows (tw1 to tw6) in which the total time spent for distribution of agricultural products is divided at regular intervals. Specifically, when determining the shelf life of the agricultural products, the average temperature or humidity of each time window is calculated, and the weight reduction rate (interval weight reduction rate) in each time window is calculated using the prediction formula in Table 7. Then, To predict the total weight reduction rate.

According to this embodiment, after the distribution environment monitoring is completed, the agricultural product management system analyzes the temperature and humidity data of the agricultural products collected through the distribution environment monitoring with reference to the pattern database (Pattern DB), and based on this, Property. The fixed shelf life can be delivered to wholesalers.

As described above, according to the present embodiment, the wholesaler can preferentially sell agricultural products with the shortest shelf life, thereby reducing the loss of agricultural products and maximizing profits.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, It will be understood that various combinations and permutations and applications not illustrated in the embodiments are possible. Therefore, it should be understood that the technical contents related to the modification and application that can be easily derived from the embodiments of the present invention are included in the present invention.

2: Packing material
4: Agricultural product processing center (APC)
10: first sensor
20, 20a to 20f: communication unit
30: Agricultural products sales ranking system

Claims (7)

A sales order determination system connected to a producer, a seller, and a communication unit installed therebetween through a network to collect data of the first sensor through wireless communication with a first sensor activated by sensing the agricultural product of the packaging material, As a method for determining ranking,
Receiving temperature and humidity data measured from a temperature and humidity measurement device coupled to the first sensor and stored in the first sensor and collected by the communication unit from the communication unit;
Dividing the temperature and humidity data into section data of a predetermined time interval;
Calculating an average of the interval data;
Calculating a section weight reduction rate of the agricultural product by substituting the average into a prediction formula determined according to humidity which is a circulation environment of the agricultural product;
Accumulating the section weight reduction rate to calculate a total weight reduction rate of the agricultural product; And
Determining the expiration date of the agricultural product according to the total weight reduction rate,
The prediction equation is expressed by the following equation (1)
[Equation 1]

In the equation (1), wr represents the total weight reduction rate of the agricultural product, wr _i represents the weight reduction rate in the time window tw _i ,
Here, wr _i is given by the following equation (2)
&Quot; (2) "

Wherein a and b in Equation (2) are constants determined according to the humidity.
delete The method according to claim 1,
Wherein the step of re-defining the expiration date includes predicting a expiration date by referring to a pre-stored agricultural product standard expiration date pattern database for the agricultural product. The method of claim 3,
Determining a sale order of the plurality of agricultural products based on the estimated expiration date information for the agricultural products, and transmitting the selling order to the seller. A sales order determination system connected to a producer, a seller, and a communication unit installed therebetween through a network to collect data of the first sensor through wireless communication with a first sensor activated by sensing agricultural produce packaged in a packaging material ,
A transceiver for receiving temperature and humidity data measured from a temperature and humidity measuring device coupled to the first sensor and stored in the first sensor and collected by the communication unit from the communication unit;
A processor coupled to the transceiver; And
And a memory coupled to the processor for storing the temperature and humidity data,
Wherein the processor divides the temperature and humidity data into section data of a time window of a predetermined time interval by a program stored in the memory, calculates an average of the section data, and stores the average in a humidity environment Calculating a total weight reduction rate of the agricultural product by accumulating the total weight reduction rate, calculating a total weight reduction rate of the agricultural product based on the total weight reduction rate, And then,
The prediction equation is expressed by the following equation (1)
[Equation 1]

In the equation (1), wr represents the total weight reduction rate of the agricultural product, wr _i represents the weight reduction rate in the time window tw _i ,
Here, wr _i is given by the following equation (2)
&Quot; (2) "

In the formula (2), a and b are constants determined according to humidity.
delete The method of claim 5,
Wherein the processor includes a sales order determining unit for predicting the expiration date of the agricultural products and determining the sales order of the agricultural products on the basis of the expiration date information predicted for the agricultural products with reference to the agricultural product standard expiration date pattern database pre- And transmits the sales order determined by the sales order determining unit to the seller through the transceiver unit.

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