KR20220100251A - RPC CLOUD SYSTEM PROVIDING CLOUD SERVICE BASED ON IoT - Google Patents

Abstract

Disclosed is a grain processing complex cloud system for providing an IoT-based cloud service. The grain processing complex cloud system of the present invention comprises: a plurality of grain processing complexes which are scattered in various regions; an RPC cloud center which receives RPC data remotely from the grain processing complexes; wired/wireless communication networks which connect the plurality of grain processing complexes and the RPC cloud center; at least one IoT sensor which is installed in equipment of the grain processing complexes; a plurality of IoT modules which collect data obtained by the IoT sensor; a data collection and operation server which collects, processes, and operates data input from the plurality of IoT modules; and a DB server in which the collected and processed RPC data is stored. The RPC cloud center comprises: a cloud DB server that collects and stores weather data by region in which the plurality of grain processing complexes are installed and the RPC data transmitted from the data collection and operation server through the wired and wireless communication networks; an AI server which artificially processes and creates government purchase policy establishment information, RPC production/quality control measures, and product information provided to consumers by using the weather data and RPC data stored in the cloud DB server as parameters; and a web/app application service providing server which processes information artificially processed by the AI server into information to be serviced through a web or an application (app) and transmits the information to a user device. According to the present invention, the grain processing complex cloud system can collect information related to rice polishing from RPCs across the country and automatically analyze the information.

Description

Rice processing plant cloud system that provides IoT-based cloud service {RPC CLOUD SYSTEM PROVIDING CLOUD SERVICE BASED ON IoT}

The present invention relates to a rice processing plant cloud system that provides an IoT-based cloud service, and more particularly, it collects and processes milling-related data from a rice processing plant in an IoT environment operated nationwide, processes it, stores it in the cloud, and stores the stored data It is related to the rice processing plant cloud system that provides to be utilized according to the consumer.

The Rice Processing Complex (RPC) handles the entire process of rice processing, from importation of harvested rice, through selection, weighing, quality inspection, drying, storage, and milling, to product shipment and sales, and by-product processing at the individual farm level. It refers to a facility that processes batches through a large-scale automated process rather than a process, and aims to reduce rural labor, reduce rice loss, reduce costs, improve quality, and improve distribution structure.

On the other hand, in the conventional milling method, harvested rice is packed with a combine, binder, sickle, etc. and transported to a drying facility to be dried. Quality inspection is carried out in a packed state, and it is stored in the warehouse for each grade and stored for a certain period of time. In the case of RPC, harvested rice is transported directly to the treatment plant by a product transport vehicle, and is then processed in batches through drying, storage, milling, and packaging processes.

There are about 750 RPCs nationwide. In the past, each RPC analyzed, aggregated, and managed information on imported rice and production and processing information on its own. It was difficult to derive or utilize it to improve quality control measures.

Also, from a consumer's point of view, there was a problem in that it was difficult to check information on when and where the rice I bought went through the milling process and whether it went through the milling process in an appropriate way.

It is an object of the present invention to provide an RPC cloud system that provides an IoT-based cloud service that collects milling-related information from RPCs across the country in real time and utilizes it for government policies, history, and quality management.

The rice processing plant cloud system that provides an IoT-based cloud service according to an embodiment of the present invention for achieving the above object is a plurality of rice processing plants scattered in various regions, and RPC data remotely from the rice processing plant. RPC cloud center for receiving, a wired/wireless communication network connecting the plurality of rice processing plants and the RPC cloud center, at least one IoT sensor installed in the facilities of the rice processing plant, and a plurality of IoT collecting data obtained from the IoT sensors A module, a data collection and operation server that collects, processes and operates data input from the plurality of IoT modules, and a DB server in which the collected and processed RPC data is stored,

The RPC cloud center is a cloud DB server that collects and stores weather data for each region in which the plurality of rice processing plants are installed and RPC data transmitted from the data collection and operation server through a wired/wireless communication network, weather data stored in the cloud DB server, and An AI server that artificially processes the government purchasing policy establishment information using RPC data as a parameter, the production/quality control plan of the rice processing plant, and product information provided to consumers, and the information artificially processed by the AI server on the web Alternatively, it includes a web/app application service providing server that processes information serviced through an app application and transmits it to a user device.

In this case, the integrated rice processing plant cloud system may further include a user device authorized to manage the integrated rice processing plant through a wired/wireless communication network.

In addition, the IoT sensor is a carbon dioxide (CO ₂ ) sensor, moisture sensor, temperature sensor, humidity sensor, level gauge, wind pressure sensor, differential pressure sensor, weight sensor, dust sensor, shape sensor, CCD, moisture content sensor, speed sensor, magnetic sensor , a heat sensor, an infrared (NIR) sensor, a distance measuring sensor, an ultrasonic sensor, an odor sensor, and may include at least one of a limit sensor.

In addition, the data obtained from the IoT sensor includes product rice import information and production/processing information, and the product rice import information includes purchase quantity information by region, purchase quantity information by variety, purchase quantity information by period, internal and external quality information and yield The production/processing information includes at least one of information, and the production/processing information is at least one of the carrying-in unit status, the drying unit status, the silo storage unit status, the brown rice part production status, the polished rice part production status, the packing part production status, and the current/polished rice quality information. may include

In addition, the data collection and operation server pre-processes the data obtained from the IoT sensor, and from the product rice import information, regional yield/quality analysis information, yield/quality analysis information by variety, optimal harvest time prediction information, and crop yield by year At least one of analysis information, regional rice production forecast information, and region-specific optimal cultivar identification information is acquired, and from the production/processing information, facility operation rate/energy consumption analysis information, oil consumption analysis information during drying, appropriate drying cost calculation information, and current / RPC data including at least one of white rice yield analysis information, processing status analysis information for each condition, shipment/sale status analysis information for each condition, and government grain forest cost analysis information may be acquired.

According to various embodiments of the present invention as described above, it is possible to collect milling-related information from RPCs across the country in real time, and automatically analyze it to utilize it for government policies, history, and quality control.

In order to more fully understand the drawings recited in the Detailed Description of the Invention, a brief description of each drawing is provided.
1 is a block diagram schematically illustrating the configuration of a rice processing plant cloud system according to an embodiment of the present invention;
2 is a block diagram schematically illustrating the configuration of a cloud DB server according to an embodiment of the present invention;
3 is a conceptual diagram of AI-based data processing of the RPC cloud center according to an embodiment of the present invention;
4 is a flowchart for explaining the data collection and processing process of the rice processing plant cloud system according to an embodiment of the present invention;
5 is a view for explaining the service outline of the integrated rice processing plant cloud system according to an embodiment of the present invention.

First, the terms used in the present specification and claims have been selected in consideration of functions in various embodiments of the present invention. However, these terms may vary depending on the intention of a person skilled in the art, legal or technical interpretation, and the emergence of new technology. Also, some terms may be arbitrarily selected by the applicant. These terms may be interpreted in the meaning defined herein, and if there is no specific definition of the term, it may be interpreted based on the general content of the present specification and common technical knowledge in the art.

Also, the same reference numerals or reference numerals in each drawing appended hereto indicate parts or components that perform substantially the same functions. For the convenience of description and understanding, the same reference numbers or reference numerals are used in different embodiments. That is, even though all the components having the same reference number are shown in the plurality of drawings, the plurality of drawings do not mean one embodiment.

In addition, in this specification and claims, terms including ordinal numbers such as 'first' and 'second' may be used to distinguish between elements. This ordinal number is used to distinguish the same or similar components from each other, and the meaning of the term should not be limitedly interpreted due to the use of the ordinal number. As an example, the components combined with such an ordinal number should not be construed as limiting the order of use or arrangement by the number. If necessary, each ordinal number may be used interchangeably.

In this specification, the singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as 'comprise' or 'comprise' are intended to designate that a feature, number, step, operation, component, part, or a combination thereof described in the specification exists, but one or more other It should be understood that this does not preclude the possibility of addition or presence of features or numbers, steps, operations, components, parts, or combinations thereof.

Also, in an embodiment of the present invention, when it is said that a part is connected to another part, this includes not only direct connection but also indirect connection through another medium. In addition, the meaning that a certain part includes a certain component means that other components may be further included, rather than excluding other components, unless specifically stated to the contrary.

Hereinafter, the present invention will be described in more detail with reference to the accompanying drawings.

1 is a block diagram schematically illustrating the configuration of a rice processing plant cloud system 100 according to an embodiment of the present invention. The integrated rice processing plant cloud system 100 includes a plurality of rice processing plants (1-n) scattered in various regions, and an RPC cloud center (20) for receiving RPC data remotely from the rice processing plants (1-n) and a plurality of It includes a wired/wireless communication network 30 configured so that the rice processing plant 1 to n and the RPC cloud center 20 can communicate with each other.

The rice processing plant (1 to n) is a plurality of IoT modules (11 to 16) that collect at least one or more IoT-based sensors installed in each facility, the sensing data of the sensors, and the operation or characteristic data of each unit or single facility by wire or wireless. ), a data collection and operation server 17 for collecting, processing and operating data input from a plurality of IoT modules 11 to 16, and a DB server 18 for storing collected and processed data.

The RPC cloud center 20 collects and stores weather information 21 for each region where the rice processing plants 1 to n are installed and various data transmitted from each rice processing plant 1 to n through the wired/wireless communication network 30 . stored in the cloud DB server 22 and the cloud DB server 22 that manages/stores data collection server 23, regional weather information 21 and RPC data transmitted from each rice processing plant 1 to n Artificial processing in the AI server 24 and AI server 24, which artificially automatically processes and generates government purchasing policy establishment information using data as a parameter, production/quality control plans for rice processing plants, and product information provided to consumers It includes a web/app application service providing server that processes the processed information into information serviced through a web or app application and transmits it to the user device 40 .

The data collection and operation server 17 , the data collection server 23 , and the web/app application service providing server 25 include a communication module connected to the wired/wireless communication network 30 .

The facilities of the rice processing plant (1~n) include: i) dry storage facilities such as silos, wind separators, shipbuilding machines, hopper scales, grain dryers, dust collectors, hoppers, fuel flow systems, and storage tanks, ii) raw material stone mills, Rice processing equipment such as brown rice machine, rice hull blower, brown rice separator, rice milling machine, tender rice machine, color/foreign substance sorter, iii) quality determination system for rice, iv) Weighing of rice weigher, automatic plastic packing machine, high-speed packing machine, plastic adhesive machine, etc. Examples include packaging equipment, v) centrifugal filter dust collector, energy-saving integrated dust collector, cyclone, vortex hood, etc. have.

As illustrated in FIG. 1, the plurality of IoT modules 11 to 16 are hopper scales, water flow meters, rice washing machines/polishing machines, color/foreign substances sorters, quality determination systems, and weighing and packaging facilities, respectively, as examples, but in addition to the above facilities It may be implemented as all or part of these, or may further include it.

These multiple IoT modules 11 to 16 collect, store, and analyze data of each process facility of the rice processing plant 1 to n to monitor in real time, and to track facility control, yield and inventory production management, and cultivation and processing history. configured to do so.

As IoT sensors installed in the above-mentioned facilities, carbon dioxide (CO ₂ ) sensor, moisture sensor, temperature sensor, humidity sensor, level gauge, wind pressure sensor, differential pressure sensor, weight sensor, dust sensor, shape sensor, CCD, moisture content sensor, For example, a speed sensor, a magnetic sensor, a heat sensor, an infrared (NIR) sensor, a distance measuring sensor, an ultrasonic sensor, an odor sensor, a limit sensor, and the like, may include at least one of these.

The IoT sensor and the IoT modules 11 to 16 may be connected through wired or wireless communication means such as Ethernet, WiFi, ZIGBEE, Bluetooth, Beacon, and RFID (NFC RFID, UHF RFID, etc.).

The IoT modules 11 to 16 may collect data obtained from IoT sensors provided in each facility of the rice processing plant 1 to n, and transmit and process the data to the data collection and operation server 17 . The data collection and operation server 17 may store the collected data in the DB server 18 , perform pre-processing on the collected data, and transmit it to the RPC cloud center 20 through the wired/wireless communication network 30 .

Since the collected data may contain missing values due to errors or the like occurring during the data collection process, the data collection and operation server 17 performs pre-processing including data cleaning and filtering to perform parameters It is desirable to ensure that there is no distortion in the analysis results.

The data collection and operation server 17 may transmit and process pre-processed RPC data to the RPC cloud center 20 .

The cloud DB server 22 of the RPC cloud center 20 is transmitted from the data collection and operation server 17 through the regional weather information 21 and the wired/wireless communication network 30 where a plurality of rice processing plants 1 to n are installed. RPC data can be collected and stored.

At this time, the cloud DB server 22 may include information such as the location, facilities, processing amount of the rice comprehensive processing plants (1 ~ n) scattered in various regions. Specifically, as shown in FIG. 2, the RPC facility maintenance DB includes RPC-specific facility status, facility information, repair history, schedule management, performance management, DB construction and analysis information for each type, and RPC operation DB includes RPC-specific operation Diagnosis (line balance, process analysis, performance, quality, environmental characteristics) information and optimal operating conditions analysis information for each type/equipment are included. In the grower DB, all production stages from planting to harvest, such as grower (farmhouse) information, lot information, and cultivation history (variety, work history - sowing, transplanting, fertilization, harvest), etc. All history information up to that point can be included. The manager DB may include information such as remote facility control, yield, inventory management, and real-time quality control, and the RPC operator DB may include operator information of the rice processing plants 1 to n. The service team DB is dispatched to the rice processing plant (1~n) and manages the name and contact information and regular inspection schedule of A/S technicians belonging to the management system in charge of repair/replacement of equipment, preparation/submission of inspection reports, and emergency after-sales service Reception/response information is included, and the consumer DB uses QR codes to track product history- Cultivation information (cultivator - farmhouse, production year), processing information (processor - Nonghyup, milling date), quality information (quality, ingredients) Inquiry information and the like may be included.

Meanwhile, FIG. 3 shows a conceptual diagram of AI-based data processing of the RPC cloud center according to an embodiment of the present invention.

AI server 24 is from meteorological data stored in cloud DB server 22 and SMART RPC(1), u-RPC(2), private RPC(3), Nonghyup RPC(4) and government-run RPC(5). A parameter for generating specific information to be provided to an information consumer may be extracted from the received RPC data, and the specific information may be automatically generated by artificially processing the specific information based on the extracted parameter.

Here, the information consumer may include an RPC operator 41 , an RPC manager 42 , a related government agency 43 , a related research institute 44 , and a consumer 45 .

The RPC data received by the AI server 24 becomes the basis of big data for data analysis, and it can act to enable effective repetitive learning by combining with machine learning, in particular, deep learning.

The parameters extracted from the AI server 24 may act as training data for the AI server 24 to find a labeled result by supervised learning by classification or regression. Based on the parameters, the AI server 24 is capable of generating information for predicting this fall's rice production or determining what is an appropriate purchase price or information for establishing an active product shipment plan.

On the other hand, the web/app application service providing server 25 may process the information artificially processed in the AI server 24 into comprehensive rice information serviced through the web or app application and transmit it to the user device 40 .

In this case, the user device 40 may be implemented as a portable terminal such as a smart phone, a notebook computer, or a tablet PC, including a personal computer (PC).

The web/app application service providing server 25 may provide a platform through which the user device 40 of the information consumers 41 to 45 can check the necessary rice comprehensive information through a website or an app.

4 is a flowchart for explaining the data collection and processing process of the integrated rice processing plant cloud system according to an embodiment of the present invention.

First, data generated at manufacturing sites such as Nonghyup RPC, private RPC, and government-polished RPC are collected in real time (S410). At this time, the collected data includes product rice import information and production/processing information.

The product rice import information can be obtained from the IoT modules 11 and 12 corresponding to the hopper scale and the permeation meter, respectively, and the production/processing information can be obtained from the rice washing machine/polishing machine, color/foreign substance discriminator, quality determination system, and weighing and packaging equipment. may be obtained from the IoT modules 13 to 16 respectively corresponding to .

Thereafter, the data collected in real time is stored in the DB server inside the RPC (S420).

Thereafter, a preprocessing process including data cleaning and filtering is performed on the data stored in the DB server to remove missing values, and then, the data is stored in the cloud DB server ( S430 ).

Thereafter, the AI algorithm is applied to the data stored in the cloud DB server to provide useful information to RPC operators, managers, government agencies, consumers, and the like (S440).

In this case, the provided information may be government purchasing policy establishment information, production/quality control plans for a rice treatment plant, product information provided to consumers, and the like.

5 is a view for explaining a service outline of the rice processing plant cloud system according to an embodiment of the present invention.

As shown in FIG. 5 , the product rice import-related information collected from the IoT modules 11 and 12 is specifically purchased quantity information by region, purchase quantity information by variety, purchase quantity information by period, internal and external quality information, yield information, etc. The RPC data analyzed by the data collection and operation server 17 therefrom is yield and quality analysis information by region, yield and quality analysis information by variety, optimal harvest time estimation information, crop analysis information by year, and rice by region. It may include production strategy prediction information and information on identifying optimal cultivars for each region.

In addition, the production and processing-related information collected from the IoT modules (13-16) is specifically information on the status of the incoming section, the status information of the drying section, the status information of the silo storage section, the production status information of the brown rice section, the production status information of the white rice section, and the packaging section. It may include shipment status information and brown and white rice quality information, and the RPC data analyzed by the data collection and operation server 17 from this information is facility operation rate/energy consumption analysis information, oil consumption analysis information during drying, and appropriate drying cost. It may include calculation information, brown rice yield analysis information, processing status analysis information by condition, shipment and sales status analysis information by condition, government grain forest park cost analysis information, and the like.

On the other hand, information processed from the RPC cloud center 20 may be provided as comprehensive rice information to government agencies 43, grain processing distributors 41, 42, consumers 45, and the like through a web or an application.

The government agency 43 predicts the rice production through the comprehensive rice information received from the RPC Cloud Center 20, analyzes the crop by period, establishes an appropriate government purchase quantity plan, derives an appropriate purchase price, improves the government purchase policy, and provides an appropriate government It is possible to establish policies to contribute to the establishment of processing fees for grain, improvement of cultivation guidance and grain policy, supply of safe food, expansion of exports of high-quality rice, and promotion of public health.

Grain processing and distribution companies (41, 42) such as Nonghyup and rice processing plant improve rice cultivation history management through the comprehensive rice information received from RPC Cloud Center 20, manage rice production history, and purchase raw grains by condition It can enable strategy establishment, advanced quality management plan establishment, active product shipment planning establishment, customer-tailored marketing strategy establishment, contract cultivation farming guidance improvement, high-quality rice production, and easy tracking of causes in case of customer claims.

The consumer 45 can check product information through the rice comprehensive information received from the RPC cloud center 20 or select and purchase safe food. Accordingly, ultimately, consumers' consumption of high-quality rice can be increased.

On the other hand, although preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above, and the technical field to which the present invention pertains without departing from the gist of the present invention as claimed in the claims Various modifications are possible by those of ordinary skill in the art, and these modifications should not be individually understood from the technical spirit or prospect of the present invention.

1~n: Rice processing plant 11~16: IoT module
17: Data collection and operation server 18: DB server
20: RPC Cloud Center 21: RPC Regional Weather Information
22: cloud DB server 23: data collection server
24: AI server 25: web/app application service providing server
30: wired and wireless communication network 40: user device

Claims (5)

In the rice processing plant cloud system that provides IoT-based cloud service,
a plurality of rice processing plants scattered in various regions;
RPC cloud center for receiving RPC data remotely from the rice processing plant;
a wired/wireless communication network connecting the plurality of rice processing plants and the RPC cloud center;
at least one or more IoT sensors installed in the facilities of the rice processing plant;
a plurality of IoT modules for collecting data obtained from the IoT sensor;
a data collection and operation server for collecting, processing and operating data input from the plurality of IoT modules; and
Includes; DB server in which the collected and processed RPC data is stored;
The RPC cloud center,
a cloud DB server that collects and stores weather data for each region in which the plurality of rice processing plants are installed and RPC data transmitted from the data collection and operation server through a wired/wireless communication network;
an AI server that artificially processes and generates government purchasing policy establishment information using the weather data and RPC data stored in the cloud DB server as parameters, the production/quality management plan of the rice processing plant, and product information provided to consumers; and
A rice processing plant cloud system comprising a; web/app application service providing server that processes the artificially processed information in the AI server into information serviced through a web or app application and transmits it to a user device. According to claim 1,
The integrated rice processing plant cloud system further comprising; a user device authorized to manage the rice processing plant through a wired/wireless communication network. According to claim 1,
The IoT sensor is
Carbon dioxide (CO ₂ ) sensor, moisture sensor, temperature sensor, humidity sensor, level gauge, wind pressure sensor, differential pressure sensor, weight sensor, dust sensor, shape sensor, CCD, moisture content sensor, speed sensor, magnetic sensor, heat sensor, infrared (NIR) sensor, distance measuring sensor, ultrasonic sensor, odor sensor, cloud system comprising at least any one of the limit sensor. According to claim 1,
The data obtained from the IoT sensor is
Includes product rice import information and production/processing information,
The product rice import information is,
It includes at least one of regional purchase quantity information, purchase quantity information by variety, purchase quantity information by period, internal and external quality information, and yield information,
The production / processing information,
Rice processing plant cloud system, characterized in that it includes at least one of the import part status, the drying part status, the silo storage part status, the brown rice part production status, the polished rice part production status, the packing part production status, and the current / polished rice quality information. 5. The method of claim 4,
The data collection and operation server,
By pre-processing the data obtained from the IoT sensor, from the product rice import information, yield/quality analysis information by region, yield/quality analysis information by variety, optimal harvest time prediction information, crop analysis information by year, rice production forecast information by region, and Obtain at least one of information on identifying optimal cultivars by region, and from the production/processing information, facility operation rate/energy consumption analysis information, oil consumption analysis information during drying, appropriate drying cost calculation information, rice/white rice yield analysis information, processing by condition Rice processing plant cloud system, characterized in that it acquires RPC data including at least one of current status analysis information, shipment/sales status analysis information by condition, and government grain forest price analysis information.

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