JP2020024701A - Production distribution management system, method for management, and program - Google Patents

Abstract

To reduce the waste loss of produced materials.SOLUTION: The production distribution management system includes: a specification management unit for managing specification information of materials produced by a plurality of producers and presenting the specification information to the producers; a production state management unit for acquiring production state information showing the production state of each specification shown in the specification information from the production system of each producer and managing the production state information for every plural producers; and an information disclosing unit for disclosing the production state information for each specification managed by plural producers to the demanders or the consumers of the produced materials.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a production distribution management system, a management method, and a program.

  There is a cultivation system that supports cultivation of crops based on captured images of the crops, measurement data of temperature, humidity, and illuminance sensors (for example, Patent Document 1). In recent years, crops produced in a plant factory using such a cultivation system have also been distributed on the market (for example, Patent Document 1).

JP-A-2005-204788

  Producers of agricultural products, etc. often produce based on production plans based on experience and intuition based on past ordered varieties and ordered quantities, and that the production of crops may cause loss due to disease, etc. It is often overproduced in consideration of the occurrence of foreign goods (articles that cannot be shipped). In addition, there is a change in the production quantity and a shippable date due to a change in weather. On the other hand, an order from a real consumer cannot be accurately determined until about one week ago. For this reason, overproduction is apt to occur so as not to cause a situation in which shipment cannot be performed due to insufficient order quantity. As a result, many discard losses have occurred in the produced products, and it is required to reduce the discard losses.

  The present invention has been made in view of the above points, and it is an object of the present invention to provide a production distribution management system, a management method, and a program for reducing a product disposal loss.

  The present invention has been made to solve the above-described problems, and one embodiment of the present invention manages standard information indicating standards for products produced by a plurality of producers, and For each of the plurality of producers, a standard management unit that presents the standard information, and obtains, from each terminal of the plurality of producers, production status information indicating a production status for each standard indicated in the standard information. A production distribution management comprising: a production status management unit for managing; and an information disclosure unit for disclosing the production status information for each standard managed for each of the plurality of producers to a consumer or a consumer of the product. System.

  One embodiment of the present invention is a management method in a production and distribution management system, wherein a standard management unit manages standard information indicating a standard for a product produced by a plurality of producers, and Presenting the standard information to the production status management unit, the production status information indicating the production status for each standard indicated in the standard information from each terminal of the plurality of producers, Step of managing for each producer, the information disclosure unit, the production status information for each standard that is managed for each of the plurality of producers, the step of disclosing to the consumer or consumer of the product, It is a management method having

  Further, one aspect of the present invention, a computer, manages standard information indicating standards for products produced by a plurality of producers, and presenting the standard information to the plurality of producers, Acquiring production status information indicating a production status for each standard indicated in the standard information from each terminal of the plurality of producers and managing the plurality of producers, and managing the production status information for each of the plurality of producers. Disclosing the production status information for each standard to a consumer or consumer of the product.

  ADVANTAGE OF THE INVENTION According to this invention, the disposal loss of a product can be reduced.

The figure which shows the outline | summary of a production distribution management system. FIG. 1 is a block diagram showing an example of a configuration of a production distribution management system. FIG. 2 is a diagram illustrating an example of a hardware configuration of a computer device. The figure which shows an example of the characteristic of a standard article and a special article. Image of a mechanism for standardizing and managing products. The figure which shows an example of a standard. FIG. 1 is a block diagram showing an example of a functional configuration of a production management system. The image figure explaining yield prediction based on a growth model. The figure which shows an example of yield prediction data. The figure which shows an example of stock data. FIG. 7 is a sequence diagram illustrating an example of a production management process. FIG. 1 is a block diagram showing an example of a functional configuration of a supply and demand matching system. The figure which shows an example of a matching screen. The figure which shows an example of a matching result screen. FIG. 7 is a sequence diagram illustrating an example of supply and demand matching processing.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
(Overview of the system)
First, an outline of the production and distribution management system according to the present embodiment will be described. FIG. 1 is a diagram illustrating an outline of a production distribution management system according to the present embodiment. The production and distribution management system 1 according to the present embodiment is a system that realizes efficient production and distribution of products (for example, foods such as agricultural products) by utilizing AI (Artificial Intelligence). For example, a retail store such as a supermarket or a processor, which is a consumer (real consumer), makes a contract (for example, contract cultivation) regarding supply and demand with a producer (such as a farmer), which is a supplier of products. The producer adjusts the shipping amount every day according to the order from the consumer and ships.

  In the present embodiment, a case where the producer is a farmer who grows agricultural products such as vegetables will be described as an example. In addition, in the present embodiment, the producer (farmhouse) can use, for example, a plant (a grain, a vegetable, a fruit, an ornamental (horticultural) plant) in a plant factory capable of controlling the environment such as temperature, humidity, solar radiation, and saturation. , Forage crops, etc.). The type of environment that can be controlled in the plant factory is not particularly limited, and it may be possible to control at least a part of temperature, humidity, solar radiation, saturation, and further other environmental parameters. Control may be possible. For example, it may be possible to control the amount of fertilizer and the amount of water in hydroponics. As described above, the plant factory means a production system capable of measuring any environmental data such as temperature, humidity, solar radiation, and water flow, or controlling any environment. Future growth conditions will change depending on how the environment is controlled. Further, a plant factory is provided with various sensors for monitoring the growth status (various sensors for detecting temperature, humidity, illuminance, and the like, cameras for capturing images, and the like).

  Here, while the order from the consumer to the producer is about one week before shipment, the period required for production (cultivation) is often much longer than that. Therefore, there has been a mismatch between supply and demand in the past. Specifically, since the demand is not transmitted in a timely manner when the production can be adjusted from the consumer, the production is performed according to the production plan (for example, cultivation plan) based on the experience and intuition of the producer. Due to the inability to adjust the growth on the day you want to ship, it is difficult to adjust the growth, and the weather fluctuates. Therefore, in order to secure a shipment volume that satisfies the order volume, overproduction tends to occur. As a result, a surplus product is generated after the order is shipped, resulting in a discard loss. Also, for example, at high temperatures, leafy vegetables may grow excessively, and in tomatoes, cracks and buttocks may occur, resulting in nonstandard products. Since nonstandard products could not be shipped, this was also a waste loss. In the case of a relationship between a major producer and a consumer with the same management, it is conceivable to manage the production status and exchange surplus goods between stores independently in the relationship, but multiple In the relationship between producers and consumers (for example, the relationship between small and medium-sized wholesalers and retailers and the farmers shipping to them), it is difficult to accommodate and the disposal loss increases.

  Therefore, in the production and distribution management system 1 according to the present embodiment, a platform in a chain that connects production (producer), distribution (consumer), and consumption (consumer) by a plurality of producers and a plurality of consumers. Using a computerized system, monitor the production status of multiple producers and predict yields, and perform inventory management (cyber inventory) of multiple producers' inventory as if it were one large-scale producer's inventory This will create a network that makes it easy to provide agricultural products to many small and medium-sized wholesalers and retailers. As a result, the production and distribution management system 1 realizes efficient production and distribution by improving mismatch between supply and demand and suppressing overproduction, and reduces waste loss (food loss) on the production side. Specifically, the illustrated production and distribution management system 1 includes a production management system 300, a supply and demand matching system 400, and a distribution information collection system 500.

  The distribution information collection system 500 is preferably a system for sharing information among producers, consumers, and consumers using a blockchain. For example, the distribution information collection system 500 publishes, to consumers and consumers, traceability information on the certification information of the standards of the crops produced by the producers and the production status. In addition, the distribution information collection system 500 has a mechanism that allows a consumer to input a comment on a crop purchased by a consumer via a consumer through an information sharing service provided via the Internet. Thereby, the consumer can easily confirm the quality of the agricultural products of the producer that is the order destination. In addition, consumers can know information about producers and agricultural products, and can give consumers a sense of security and security. In addition, since the producer and the consumer can obtain the reputation of the purchased product and the consumer's preference information from the consumer's comment, the demand and the production plan can be performed according to the market needs and the consumer's preference. . In addition, the traceability information may include information on physical distribution.

  The production management system 300 is a system in which a producer predicts the yield of a crop (prediction of harvest time and amount) based on a current growth situation, a growth model, and future growth conditions. In addition, the production management system 300 can give advice on adjustment of the growth environment based on the current growth status, and can present information on optimization of production (optimization of cultivation). By optimizing production planning and production based on consumer preference information and yield predictions, we will suppress the occurrence and overproduction of nonstandard products and contribute to reducing waste loss and increasing producers' profits.

  The supply-and-demand matching system 400 is a system that performs matching between agricultural products produced (cultivated) by producers and orders from consumers. For example, when the producer's yield is predicted by the production management system 300, the order quantity from the customer determined one week before shipment and the yield prediction at the time of shipment (one week after) are estimated from the yield at one week before shipment. It is possible to predict surplus products (except for contract cultivation). The supply-demand matching system 400 manages the surplus product forecasts by a plurality of producers (for example, producers in various parts of Japan) as a cyber inventory (virtual inventory on data instead of actual inventory), and how much the total One week before it can be predicted whether or not surplus products will be generated. In addition, since the supply-demand matching system 400 can predict the amount of the surplus product one week ago, it matches the surplus product with the customer who wants to place an order. For example, the consumer can know how much surplus is in a producer in a nearby area, and can order an item whose order plan is suddenly changed or a shortage occurs. In addition, since surplus products of multiple producers are managed collectively, consumers can use surplus products if producers in other areas have surplus products even if there are no surplus products in producers in nearby areas. It is also possible to purchase. As a result, the consumer can purchase the surplus from the producer by cutting the intermediate margin, and can contribute to the reduction of waste loss. Producers can sell surplus items, thereby reducing waste loss and earning profits from selling surplus items.

Hereinafter, the configuration of the production and distribution management system according to the present embodiment will be described in detail.
(Overall configuration of production and distribution management system)
FIG. 2 is a block diagram illustrating an example of a configuration of the production and distribution management system according to the present embodiment. The illustrated production distribution management system 1 includes a production system 110 (110A, 110B, 110C,...) Of a plurality of producers (producers A, B, C,...) And a producer terminal 10. (10A, 10B, 10C,...) And a plurality of consumer terminals (the consumer A, the consumer B, the consumer C,...) And the consumer terminals 20 (20A, 20B, 20C,...) , A production management server device 30, a supply and demand matching server device 40, and a distribution information collection server device 50, which are communicatively connected via a network NW. The producer terminal 10, consumer terminal 20, production management server device 30, supply and demand matching server device 40, and distribution information collection server device 50 are computer devices. Further, the production system 110 includes a computer device that controls an environment and the like in the system (in a plant factory). The computer device provided in the production system 110 and the producer terminal 10 may or may not be connected via a LAN. Further, the computer device included in the production system 110 and the producer terminal 10 may have a common configuration. Although not shown here, a consumer terminal owned by the consumer is also communicatively connected via the network NW. The producer terminal 10, the consumer terminal 20, and the consumer terminal (not shown) are, for example, a personal computer (a desktop type, a laptop type, a tablet type, and the like), a smartphone, and the like.

  Each producer and each consumer makes an application for use of the service provided by the production and distribution management system 1, and when it is confirmed that the use conditions are satisfied, an account is issued for the service and the service can be used. Become. For example, the producer is authenticated on condition that the standard provided by the service provided by the production and distribution management system 1 is satisfied, and the producer of the present system can supply products such as agricultural products. That is, only producers and consumers who satisfy a certain standard can use the services provided by the production and distribution management system 1. The producer accesses a Web page provided by the production management server device 30, the supply and demand matching server device 40, or the distribution information collection server device 50 from the producer terminal 10 using a Web browser, thereby providing services of the respective systems. Use In addition, the consumer accesses the Web page provided by the production management server device 30, the supply / demand matching server device 40, or the distribution information collection server device 50 from the consumer terminal 20 using a Web browser, so that each system is provided. Use the services of It should be noted that the configuration may be such that services of each system can be used by using a dedicated application instead of the Web browser.

  The production management server device 30 is a main component of the production management system 300 described above, and mainly provides a production plan based on a yield prediction of a product such as a crop, and advice on optimization of production (optimization of cultivation). System. The supply-and-demand matching server device 40 is a main component of the above-described supply-and-demand matching system 400, and performs matching between agricultural products (products) produced by producers and orders from consumers. The distribution information collection server device 50 is a main component of the distribution information collection system 500 described above, and shares information among producers, consumers, and consumers.

(Hardware configuration)
FIG. 3 is a diagram illustrating an example of a hardware configuration of each server device and each computer device as each terminal illustrated in FIG. 2. The computer device 100 includes a CPU (Central Processing Unit) 101, a communication unit 102, an input unit 103, a display unit 104, and a storage unit 105. These components are mutually connected via a bus (Bus). Is communicably connected to The CPU 11 executes the various programs stored in the storage unit 105 to realize the functions in the functional configuration of each system described below.

The communication unit 102 includes, for example, a plurality of Ethernet (registered trademark) ports, a plurality of digital input / output ports such as USB, and a wireless communication port such as Wi-Fi (registered trademark) or a mobile phone line. Communicates with other server devices, terminals, and the like via the network NW based on the control of
The input unit 103 is configured integrally with a display, for example, as a touch panel, and receives user operations. The input unit 103 outputs operation information indicating the input operation to the CPU 101. The input unit 103 may be another input device such as a keyboard, a mouse, a touch pad, or a microphone to which various instructions are input by voice.
The display unit 104 is a display that displays information such as images and texts, and includes, for example, a liquid crystal display panel, an organic EL (ElectroLuminescence) display panel, and the like.

  The storage unit 105 includes, for example, a hard disk drive (HDD), a solid state drive (SSD), an electrically erasable programmable read-only memory (EEPROM), a read-only memory (ROM), and a ROM (read-only memory). Various information, images, programs, and the like are stored. For example, the storage unit 105 stores a database that stores various data in each system described below. The storage unit 105 is not limited to the one built in the computer device 100, and may be an external storage device connected via a digital input / output port such as a USB. Further, the computer device 100 may include a hardware configuration such as a speaker (not shown), an audio output terminal, a video output terminal, a camera, a gyro sensor, and a GPS (Global Positioning System) receiving module.

(Standardization of products)
The production and distribution management system 1 standardizes products such as agricultural products and guarantees a certain level of quality like industrial products. Here, the standard includes a production standard related to production and a shipping standard inspected at the time of shipping. For example, there are a number of standards defined for one product type. Therefore, although there are some special agricultural products (special products) that are conventionally branded on a regional basis (for example, on a per-prefecture basis), this system uses standard products that guarantee a certain level of quality regardless of the region. Establish a national brand.

  FIG. 4 is a diagram illustrating an example of features of a standard product and a special product. For example, a standard product requires certification, but a special product does not require certification. As for the production method, standard products are suitable for mass production, while special products are suitable for high-mix low-volume production. As for growth prediction and growth control, development of a standard product is relatively easy because a large amount of data is obtained, but development of a special product is difficult because the data amount is small.

  In terms of fault tolerance, standard products are strong and special products are weak. For example, standardized products are not produced in regional units but are distributed nationwide under uniform brands regardless of region. Even if some obstacles such as earthquakes occur in some areas, production can be continued in other areas. That is, since the standard products are dispersed in production, even if a failure occurs partially, it can be covered. On the other hand, special products are susceptible to obstacles because they have few production bases. As for the yield prediction (production amount prediction), the standard product is easy to predict the yield using the growth model, but the special product is not standardized, so the part based on the experience of individual farmers is large and the yield prediction is large. difficult.

  FIG. 5 is an image diagram of a mechanism for standardizing and managing products (crops) in the present embodiment. The production management system 300 performs production management for each standard. For example, a plurality of farmers are associated as producers that produce agricultural products that conform to “Standard A”. In addition, a plurality of farmers are associated as producers that produce agricultural products that conform to “Standard B”. That is, the production management system 300 manages the production for a plurality of farmers for each standard in units of the standard. For example, the production management system 300 monitors and aggregates production information for each standard. Further, the production management system 300 performs yield prediction and inventory management for each standard. The consumer places orders and purchases in units of categories. The supply-and-demand matching system 400 performs supply-and-demand matching between a plurality of farmers and a plurality of consumers for each standard in units of categories.

  Here, a specific example of the standard will be described. FIG. 6 is a diagram illustrating an example of the standard. Items of the standard include, for example, seeds and seedlings, cultivation systems (plans, materials, equipment), cultivation recipes / cultivation techniques, process management, human resource development, traceability, and the like. The standards for seedlings stipulate that they comply with laws and regulations and that they are not genetically modified. The standards for the cultivation system plan stipulate the sanitary environment, energy saving, area and flow line design, and the like. Cultivation system materials must be lightweight, high-strength, excellent in earthquake resistance, corrosion resistance, durability, and antifouling properties, and excellent in heat insulation, heat insulation, and measures against heat rays. It is stipulated that there are certain materials and that the material has a low environmental load. The cultivation system equipment standards include temperature (temperature), humidity, light (illuminance), air, environmental control such as medium around the root (rhizosphere), fertilizer (nutrient solution), pesticides, bacteria, pests, etc. Control, remote monitoring such as cultivation log by sensor network, and having functions that contribute to sustainability such as waste liquid treatment and water treatment (circulation use) are specified. The standard of the cultivation recipe / cultivation technique stipulates a cultivation recipe that enables stable production, that harvest time and amount can be predicted, and that optimum cultivation conditions can be predicted. Standards for process management specify various sensors to be used, management methods, production process history and shipping records, preparation for countermeasures to changing situations, land use efficiency, measures against continuous cropping failure, etc. I have. Standards for human resource development specify the training of operation human resources and cultivation instructors. The standard of traceability is that cultivation and quality information from seedling raising to shipment can be provided to consumers, distribution, processing companies, restaurants, etc. in whole numbers / lots from cultivar information (variety name) and accumulated cultivation logs. And so on. As the shipping standard, the shape, size, weight, sugar content, acidity, color, and the like are specified.

(Configuration of production management system)
Next, the configuration of the production management system 300 will be specifically described.
FIG. 7 is a block diagram illustrating an example of a functional configuration of the production management system 300. In the production management system 300, the production management server device 30 includes a standard management unit 31, a production status management unit 32, a yield prediction unit 33, an inventory management unit 34, a traceability data management unit 35, and an interface unit 36. Have.

  The standard management unit 31 manages standard data (standard information) on crops produced by a plurality of producers (farmers) and transmits the standard data to the production system 110 to present the standard data to a plurality of producers. A plurality of producers perform production so as to conform to the presented standard data. Specifically, each producer is certified in advance as a plant factory that performs production in accordance with the standard, and performs production in accordance with the standard. For example, the production system 110 controls production of crops by controlling environmental parameters based on equipment and cultivation recipes compliant with the standard, monitors the production status for each standard, and transmits the result to the production management server device 30. . Further, the standard management unit 31 manages authentication data (authentication information) indicating that each producer satisfies the standard for each of the plurality of producers.

  The production status management unit 32 acquires production status data (production status information) indicating a production status for each standard from each production system 110 of a plurality of producers, stores the acquired data in a database, and manages the production status data for each of the plurality of producers. . The production status data includes growth data indicating the degree of growth of the cultivated crop, image data obtained by capturing the growth status, and the like. The growth data may include data on the growth environment (temperature, humidity, solar radiation, saturation, etc.) and data on the growth status (size, color, shape, etc.).

  The yield prediction unit 33 dynamically predicts the yield of the crop in consideration of regional characteristics, climatic characteristics, and the like. For example, the yield prediction unit 33 uses a growth model learned by AI based on production status data (growth data, image data, and the like) acquired from the producer's production system 110, and uses a growth model learned for each standard (for a variety specified by the standard). The yield prediction data is transmitted to the production system 110 of the producer. The production system 110 can adjust environmental parameters such as temperature and fertilizer based on the yield prediction, shift the harvest date of the crop back and forth, and change the size, weight, and sugar content of the crop. .

FIG. 8 is an image diagram illustrating yield prediction based on a growth model.
The yield prediction unit 33 controls the cultivation environment of the crops of the producer based on the environment model and the growth model. Parameters that can affect these models include solar radiation, temperature, humidity, saturation fertilizer (culture solution), planting density, and the like. The production status management unit 32 converts daily growth area data (growth data and image data) in which daily leaf area, size of tomatoes, and the like are detected from an image of a cultivated agricultural product into daily insolation. And various parameter data such as temperature and average temperature.

  The yield prediction unit 33 generates a growth model in which the degree of daily growth is modeled based on these data. For example, the amount of solar radiation per plant is calculated based on the planting density (number of plants per unit area) and the amount of solar radiation, and the amount of photosynthesis per plant is calculated from the amount of solar radiation per plant, the leaf area, and the light use efficiency. Is calculated. Based on the photosynthetic amount per plant with respect to the daily temperature, the photosynthetic amount per plant with respect to the integrated temperature after planting can be modeled. Further, the growth amount per plant with respect to the integrated temperature after planting can be modeled based on the integrated value of the daily temperature and the values related to the growth rate such as leaf diameter, fruit enlargement, leaf development, and the like.

  For example, a growth model in which the growth amount is modeled is generated for each standard of agricultural products, and is learned and updated as needed by an AI using teacher data based on the standard. For example, for learning, data on the growth amount per plant with respect to the temperature for each standard is used as teacher data. In the learning, teacher data that takes into account data on fertilizers such as component information of the culture solution may be used.

  Note that the yield prediction unit 33 may generate the growth model or the environmental model based on the type and number of parameter data suitable for each standard. This parameter may be updated by performing learning sequentially based on not only the teacher data obtained in advance but also data newly obtained at the time of growth. As described above, by dynamically constructing and applying a model including parameters (factors) of a type suitable for each standard, it is possible to compare with a growth prediction and the like using a conventional model based on integrated temperature and integrated solar radiation, By feeding back the growing state of the crops, it is possible to improve the prediction accuracy of the harvest time and the yield in each step.

  The yield prediction unit 33 transmits information indicating the optimum planting density and temperature management corresponding to the amount of solar radiation to the production system 110 based on the photosynthesis amount model and the growth amount model, and feeds back the information. In addition, the yield prediction unit 33 predicts the yield (how much time and the amount of harvest) at which time the harvest can be expected in response to a change in weather or the like based on the photosynthesis model and the growth model. Do). Thus, for example, for an order that comes from a customer one week before delivery, yield prediction one week later can be performed. For example, by using this growth model, it is possible to predict the yield (how much and when to harvest) of how much harvest can be expected in response to changes in the growing environment of crops (changes in temperature). it can.

  FIG. 9 is a diagram illustrating an example of yield prediction data by the yield prediction unit 33. In the yield prediction data, a producer ID for identifying a producer, a producer name, a region of the producer, a variety (standard A, standard B, etc.), a product name, a scheduled shipping date, a yield prediction, and the like are stored in association with each other. . In other words, a future yield prediction (amount that can be shipped for each scheduled shipping date) is associated with each standard (for each variety determined by the standard). Note that the scheduled shipping date may be any one of a day, a plurality of days, a week, a month, and the like, and may be a unit corresponding to an order cycle.

  Returning to FIG. 7, the inventory management unit 34 performs a process for each crop standard of each producer based on the yield prediction (supply prediction) for each producer standard (for each variety specified by the standard) by the yield prediction unit 33. Collectively manage inventory (for each product type specified in the standard). For example, the inventory management unit 34 manages the inventory of each producer and collectively manages the inventory of each producer for each standard. Here, the inventory is, for example, an inventory of surplus products for each standard based on the yield prediction for each standard (for each type of product defined in the standard) of each producer and the order status of the consumer. For example, when an order is received from a consumer to a contract producer (contract farmer) one week before shipment, the surplus product inventory is obtained by subtracting the number of orders from the yield prediction one week later. For example, the inventory management unit 34 manages the inventory of the surplus products for each producer, and also manages the inventory of the surplus products of each producer collectively for each standard. The inventory managed by the inventory management unit 34 is not a real inventory of actual crops but a virtual inventory (cyber inventory) based on data based on yield prediction from the present to the future.

  FIG. 10 is a diagram illustrating an example of inventory data managed by the inventory management unit 34. The inventory data includes a planned shipping date, a product type (standard A, standard B, etc.), a product name, a producer ID for identifying the producer, a producer name, a producer's region, inventory (a quantity that can be shipped as surplus product), The price is stored in the database in association with the price. For example, information on the stock of the producer (or the stock of a plurality of producers when there is a plurality of producers) is associated for each standard on each scheduled shipping date. Note that the scheduled shipping date may be any one of a day, a plurality of days, a week, a month, and the like, and may be a unit corresponding to an order cycle.

  Returning to FIG. 7, the traceability data management unit 35 aggregates production status data for each standard of each producer managed by the production status management unit 32, and stores and manages the data in a database. Further, the traceability data management unit 35 stores and manages authentication data and the like for each producer's standard in a database. Further, the traceability data management unit 35 acquires consumer comment information (preference information) on the sold agricultural products from the distribution information collection server device 50 via the interface unit 36, and stores the acquired information in a database for management. The comment information (preference information) is, for example, input as an evaluation comment on the crop purchased by the consumer in an information sharing service provided by the distribution information collection server device 50 using the Internet. The input evaluation comment is associated with the type of the agricultural product, and the traceability data management unit 35 stores the comment information in association with the type of the agricultural product, that is, the standard. That is, the traceability data management unit 35 can manage consumer preference information for each type of agricultural crop (that is, for each standard).

  The interface unit 36 has a function as an information disclosure unit that discloses information to another server device or terminal, and a function as an information acquisition unit that acquires information from another server device or terminal. For example, the interface unit 36 may distribute various data (production status data for each producer's standard, authentication data for each producer's standard, etc.) managed by the traceability data management unit 35 as necessary to a distribution information collection server device. By transmitting to 50, it is disclosed to consumers or consumers. Further, the interface unit 36 acquires the consumer's comment information (preference information) on the agricultural products sold via the consumer via the distribution information collection server device 50, and stores the information in the traceability data management unit 35. .

FIG. 11 is a sequence diagram illustrating an example of a production management process for performing yield prediction and inventory management for each standard in the production management system 300 according to the present embodiment.
The production management server device 30 transmits the standard data (standard information) of the crop produced by the producer to the production system 110 of the producer (step S301). For example, the production management server device 30 transmits the standard data (standard information) of the crops produced by each of the plurality of producers to the production system 110 of each producer. Information of the crops produced by the producer is presented to each producer.

  The production system 110 acquires and stores the standard data transmitted from the production management server device 30 (Step S101). Then, the production system 110 cultivates the crop in the plant factory according to the standard indicated in the obtained standard data. Further, the production system 110 monitors the production status of the crops grown in the plant factory of the producer using various sensors, and produces production status data (growth data, image data, etc.) indicating the production status for each standard. The data is transmitted to the management server device 30 (step S103). The production management server device 30 acquires the production status data indicating the production status for each standard from the production system 110 of each producer, stores it in a database, and manages it (step S303).

  Next, the production management server device 30 uses the data (that is, the current growth status) indicating the production status for each standard (for each product type defined in the standard) and the growth model and for each standard (defined in the standard). The yield prediction (for each variety) (see FIG. 9) is performed (step S305). Then, the production management server device 30 transmits the yield prediction data for each standard (for each product type defined in the standard) to the production system 110 (step S307).

  The production system 110 acquires and stores the yield prediction data transmitted from the production management server device 30 (Step S105). The production system 110 adjusts environmental parameters and the like of the plant factory based on the yield prediction data. The producer may adjust the yield by changing future growth conditions such as environmental parameters, depending on the supply-demand matching situation by the supply-demand matching system 400 described above. For example, the production system 110 changes the future growth condition and causes the production management server device 30 to predict the yield, so that the production management server device 30 can determine the yield based on the current growth situation, the growth model, and the future growth condition. Predicted yield prediction data may be obtained, and the yield may be adjusted based on the yield prediction.

  The production system 110 also generates surplus product data (surplus product) for each standard (for each type of product defined by the standard) based on the yield prediction for each standard (for each product type defined by the standard) and the order status from the customer. Then, a standard (product type) and quantity in which is generated is generated and transmitted to the production management server device 30 as production status data (step S107).

  The production management server device 30 acquires and totals the surplus product data for each standard from the production system 110 of each producer, stores it in a database, and manages it as inventory (cyber inventory) (step S309).

  As described above, in the production management system 300 according to the present embodiment, the production management server device 30 manages the standard information on crops (an example of products) produced by a plurality of producers, and Present standard information. Further, the production management server device 30 obtains production status information (for example, growth data, image data, and the like) indicating the production status for each standard indicated in the standard information from the production system 110 of each of the plurality of producers. Of each producer. Further, the production management server device 30 discloses production status information for each standard managed for each of a plurality of producers to consumers or consumers.

  Thus, the production management system 300 allows a plurality of producers to grow agricultural products of a constant quality based on the standard, so that the generation of nonstandard products can be suppressed, and waste loss can be reduced. In addition, the production management system 300 allows the consumer or the consumer to easily confirm the production status of the supplied agricultural products, and can give the consumer or the consumer a sense of security and security.

  For example, the standard includes a production standard for production or a shipping standard for shipping. Thus, the production management system 300 can supply a certain quality of crop based on the production standard from a plurality of producers, and can supply a certain quality of crop based on the shipping standard from a plurality of producers. Further, the production management system 300 can disclose the production process (cultivation process) and the state of the agricultural product at the time of shipping so that the consumer or the consumer can easily confirm it.

  In addition, the production management system 300 includes a status of each producer's compliance with the standard (authentication information proving that it is a certified factory) and a specific status of compliance with the standard (the type of seed and seedling used, Plans, materials, specific contents of equipment, specific contents of cultivation recipes and cultivation techniques, etc.) may be disclosed to consumers or consumers. Thereby, the production management system 300 can give a consumer or a consumer a sense of security and security about the crops supplied from the producer.

  Further, as for the product specifications, a predetermined number of standards are defined for one variety regardless of the difference between the producer and the production area. As a result, products of the same type are produced according to the same standard for all producers. As a result, it is possible to produce products nationwide under a uniform brand regardless of the region, and even if produced in any region, the same quality is maintained. However, production can be continued in other areas.

  In addition, the production management system 300 predicts the yield of crops (harvest time and amount) based on the growth model. For example, the production management system 300 is based on a model indicating the amount of photosynthesis of the crop with respect to the temperature (for example, the integrated temperature from planting) and a model indicating the growth amount of the crop with respect to the temperature (for example, the integrated temperature from planting). Predict yield of crops. Thus, the production management system 300 can improve the accuracy of yield prediction, suppress overproduction, and reduce waste loss.

  For example, the production management system 300 can improve the accuracy of the yield prediction for each standard by performing the yield prediction for each standard of the crop based on the growth model learned using the teacher data based on the standard for the crop. It is possible to suppress overproduction and reduce waste loss. Note that the teacher data may include parameters related to fertilizers (such as components of a culture solution) when cultivating a crop. Thereby, the production management system 300 can further improve the accuracy of yield prediction by adding fertilizer conditions.

  Further, according to the production management system 300, even if the relationship between a plurality of producers and consumers whose management entities are different (for example, the relationship between small and medium-sized wholesalers and retailers and the farmers shipping there), it is possible to produce crops. It is a standardized and platformed system that can monitor the production status of multiple producers, predict yields, and manage inventory (cyber inventory) as if it were one large-scale producer.

  Further, the production management system 300 predicts the amount of surplus crops based on the order amount of the crops from the consumers and the yield prediction of the crops. Thus, the production management system 300 can predict the amount of surplus agricultural products in advance, so that the production management system 300 can search for a sales destination of the surplus products and control the cultivation environment so as to suppress the occurrence of surplus products. Can be considered. Therefore, a waste loss can be reduced.

  It should be noted that the teacher data may include a parameter relating to the amount of surplus products after shipping the crop, and the yield prediction unit 33 may predict the amount of surplus products in addition to the yield prediction. For example, the yield prediction unit 33 may predict the amount of the surplus product by performing learning using AI with the amount of the surplus product as teacher data, transmit the predicted result to the production system 110, and present the result to the producer. .

(Demand and supply matching system)
Next, the configuration of the supply and demand matching system 400 will be specifically described.
FIG. 12 is a block diagram illustrating an example of a functional configuration of the supply and demand matching system 400. In the supply and demand matching system 400, the supply and demand matching server device 40 includes a matching processing unit 41.

  The matching processing unit 41 performs supply and demand matching between the plurality of producers and the consumers based on the yield prediction (supply prediction) of the crops by the plurality of producers and the order status from the consumers. For example, the matching processing unit 41 performs supply and demand matching between a plurality of producers and consumers with respect to the surplus product of each cultivar specified in the standard.

  Specifically, the matching processing unit 41 refers to the surplus product inventory data based on the yield prediction and the order status managed by the production management server device 30, and refers to the standard corresponding to the order content from the customer. Producers that can be supplied (shippable) are extracted from the inventory data and transmitted to the consumer terminal 20. Further, when the consumer places an order for the extracted producer, the matching processing unit 41 transmits the order data to the producer terminal 10 of the producer. In this way, supply and demand matching between the producer and the consumer is performed.

  For example, when it becomes necessary for the customer to purchase other than the transaction with the contract farmer, the customer uses the order information (product name, standard, delivery date, By inputting the quantity and the like, supply and demand matching with the producer having the inventory of the ordered item is performed.

  FIG. 13 is a diagram illustrating an example of a matching screen displayed on the consumer terminal 20 according to the present embodiment. In the area indicated by reference numeral f41 of the illustrated matching screen, the order name that the consumer wants to order, the name of the crop, the standard, the delivery date, the quantity, and the priority condition when searching for the order destination are set as the matching search conditions. Can be entered. For example, it can be input by an operation of selecting from options or an operation of inputting a value. The priority conditions include options such as delivery date priority and cost priority. The search button B41 is an operator for executing a supply-and-demand matching process for extracting producers that can be supplied (shippable) under the input search conditions. When a search condition is input and operated on the search button B41, the supply and demand matching server device 40 performs a supply and demand matching process, and a matching result screen showing an extraction result of producers that can supply (ship) is displayed on the consumer terminal. 20 is displayed. Note that the cancel button B42 is an operator for ending the matching screen and hiding it.

  FIG. 14 is a diagram illustrating an example of a matching result screen displayed on the consumer terminal 20 according to the present embodiment. The search condition input on the matching screen shown in FIG. 13 is displayed in an area indicated by reference numeral f42 in the matching result screen shown. In the area indicated by the symbol f43, information on the producer extracted by the supply and demand matching process, the order quantity, and the total price are displayed. As the extracted information on the producer, the producer name, the number of shipments, the delivery date, the price, the delivery cost, the order quantity, and the like are displayed in association with each other. The delivery date is determined based on the region of the producer and the region of the consumer, taking into account the number of days required for the separately determined delivery region and the date when the producer can ship. In addition, the delivery cost is determined based on the region of the producer and the region of the consumer, based on a delivery fee table corresponding to a separately determined delivery region.

  The extracted producers are displayed in order from the top according to the priority conditions input on the matching screen. In the case of delivery date priority, items that match the specified delivery date are displayed in priority from the top. Those that match each other are displayed in order from the top, giving priority to the one with the lowest cost. Those who are not satisfied with the delivery date have a lower priority than those that match, even if the cost is lower. Items that do not satisfy the delivery date are displayed starting from the one near the specified delivery date. In the case of cost priority, items with lower costs are displayed in order from the top in priority. In the case of the same cost, those that match or close to the specified delivery date have priority.

  In the illustrated example, five producers are extracted with priority given to the delivery date. By ordering up to the third producer in order from the top, it is possible to place an order that satisfies the order quantity of 5000, and the total amount in that case is displayed. The order button B43 is an operator for confirming the order based on the displayed matching result. The cancel button B44 is an operator for ending the matching result screen without placing an order. For example, when the cancel button B44 is operated, the screen returns to the matching screen shown in FIG.

  FIG. 15 is a sequence diagram illustrating an example of the supply and demand matching process in the supply and demand matching system 400 according to the present embodiment. First, in the consumer terminal 20, when the consumer inputs search conditions related to the order content on the matching screen (see FIG. 13) and operates the search button B41, the consumer terminal 20 changes the input search conditions to The order data including the request is transmitted to the supply and demand matching server device 40 (step S221).

  Upon obtaining the order data, the supply and demand matching server device 40 refers to the inventory data managed by the production management server device 30 and extracts supplyable producers based on the order data and the inventory data. Matching is performed (step S421). For example, the supply-and-demand matching server device 40 extracts, based on the search conditions included in the order data, producers who have a shippable inventory that can be delivered on the delivery date with the crops that conform to the standard according to the priority conditions. At this time, the production management server device 30 transmits inventory data to the supply and demand matching server device 40 in response to a request from the supply and demand matching server device 40 (step S321).

  Then, the supply and demand matching server device 40 transmits a matching result including the stock information of the producer extracted based on the search condition of the consumer to the consumer terminal 20 (step S423).

  Upon obtaining the matching result from the supply and demand matching server device 40, the consumer terminal 20 displays a matching screen (see FIG. 14) indicating the matching result (step S223). When the consumer operates the order button B43 on the consumer terminal 20 to confirm the order, the consumer terminal 20 transmits an order instruction indicating the confirmation of the order to the supply and demand matching server device 40 (step S225).

  Upon obtaining the order instruction transmitted from the consumer terminal 20, the supply-demand matching server device 40 transmits the order data to the producer terminal 10 of the producer selected as the order destination (step S425). When a plurality of producers are suppliers, as shown in FIG. 14, the supply and demand matching server device 40 sends the order data to the producer terminals 10 of the producers who are suppliers. Send.

  Upon obtaining the order data from the supply and demand matching server device 40, the producer terminal 10 accepts an input of permission or rejection of the order based on the order data. Then, the producer terminal 10 transmits data indicating permission or rejection of the order to the supply and demand matching server device 40 (step S121).

  When the data indicating the rejection of the order is acquired from the producer terminal 10 (step S424: rejection), the supply-and-demand matching server device 40 returns to the process of step S421 and extracts another suppliable producer. On the other hand, when the demand-supply matching server device 40 acquires the data indicating the permission of the order from the producer terminal 10 (step S424: permission), the demand-supply matching server device 40 transmits the sales contract data indicating that the sales contract has been established to the producer terminal 10, Is transmitted to the user terminal 20 and the production management server device 30 (step S429).

  Upon acquiring the sales contract data from the supply and demand matching server device 40, the producer terminal 10 and the consumer terminal 20 display the sales contract result indicating that the sales contract has been established (steps S123 and S227). Further, upon acquiring the sales contract data from the supply and demand matching server device 40, the production management server device 30 displays a sales contract result indicating that the sales contract has been established (step S323).

  As described above, in the supply and demand matching system 400 according to the present embodiment, the supply and demand matching server device 40 includes a plurality of producers for predicting the yield of crops (an example of a product) (an example of a supply forecast) and a plurality of ordering crops. And supply order matching between a plurality of producers and a plurality of consumers on the basis of the order status from the consumer.

  Accordingly, the supply-demand matching system 400 manages the inventory of a plurality of producers as if it were a single large-scale producer (cyber inventory), so that many small and medium-sized wholesalers and retailers can produce crops. Can be easily accommodated. Therefore, the supply-demand matching system 400 can improve the supply-demand mismatch to suppress overproduction, thereby realizing efficient production distribution, and can reduce waste loss (food loss) on the production side.

  For example, the supply and demand matching server device 40 performs supply and demand matching between a plurality of producers and a plurality of consumers with respect to surplus products among the produced agricultural products. Accordingly, the supply-demand matching system 400 manages the inventory of the surplus products of a plurality of producers collectively, thereby making it possible to easily provide the surplus products to many small and medium-sized wholesalers and retailers. Therefore, the supply and demand matching system 400 can reduce surplus products and reduce waste loss.

  In addition, for crops (an example of a product), a fixed number of standards are set for one variety regardless of the producer and the production area. Are produced according to the same standard. Therefore, it is possible to produce nationwide with a unified brand regardless of the region, and the same quality is obtained regardless of the region. Therefore, the supply and demand matching server device 40 Supply and demand matching between a plurality of producers and a plurality of consumers can be performed.

  Note that the supply and demand matching server device 40 may perform supply and demand matching between a plurality of producers and a plurality of consumers for each region of the producer. Thus, the supply and demand matching system 400 can perform supply and demand matching with priority given to producers and consumers in nearby areas.

  The supply and demand matching server device 40 may perform supply and demand matching between a plurality of producers on surplus agricultural products. That is, in the producer terminal 10 of a certain producer, similarly to the consumer terminal 20 of the consumer, by inputting search conditions such as order contents to be ordered on the matching screen (see FIG. 13), the supply and demand matching server device 40 May perform a supply-and-demand matching process, and may place an order with another producer extracted on the matching result screen (see FIG. 14) displayed on the producer terminal 10. In this way, the producer can purchase the shortage from another producer and exchange it when the shipment to the contracted customer is insufficient.

  Further, according to the supply-demand matching system 400, even if there is a relationship between a plurality of producers and consumers with different management entities (for example, a relationship between small and medium-sized wholesale or retail and a farmer shipping to the same), a plurality of producers and consumers are required. By predicting the amount of surplus products of producers, by managing the inventory of surplus products of each producer as if it were the inventory of one large-scale producer, many consumers such as small and medium wholesalers and retailers This makes it easy to accommodate surplus products.

  Note that the supply and demand matching server device 40 also transmits information on the search conditions (for example, the order details and optimization conditions input on the matching screen in FIG. 13) used for matching to the producer terminal 10 and feeds back the information. Good. This allows the producer to use the search conditions used for matching as information for examining conditions such as production adjustment plans and prices.

(Distribution information collection system)
In the distribution information collection system 500, the distribution information collection server device 50 (see FIG. 2) shares information among producers, consumers, and consumers using, for example, a block chain. For example, the distribution information collection server device 50 may provide authentication information of the standards of the crops produced by the producer, traceability information on the production status, and the like (production status data for each producer's standard, authentication data for each producer's standard). , Etc.) from the production management server device 30 and publish them to consumers and consumers as needed.

  The method of disclosure may be a method of publishing the traceability information on a Web page provided by the distribution information collection server device 50 and publishing it with a Web browser, or a method of publishing from the distribution information collection server device 50 to the consumer terminal 20 or the consumer. A method of transmitting the traceability information to the terminal of the consumer terminal 20 or the consumer terminal so as to be able to display the traceability information may be used.

  For example, the distribution information collection server device 50 may check that the plant factory of the producer is a certified factory, or that the plant is a certified factory (specific types of seeds and seedlings used, cultivation system plans, materials and equipment). Specific content, specific details of cultivation recipes and cultivation techniques, etc.), producer's name, face photo, state of production place, growth status of crops (size, color, shape, photo, etc.), quality, etc. May be published.

  The distribution information collection server device 50 provides, via the Internet, an information sharing service that allows a consumer to input a comment on a crop purchased. When the consumer inputs a comment on the purchased agricultural product, the distribution information collection server device 50 acquires the content of the comment such as the evaluation of the purchased product as consumer preference information. Then, the distribution information collection server device 50 may include this preference information in the traceability information and present it to consumers and producers. In addition, the distribution information collection server device 50 may include information on physical distribution in the traceability information.

  As described above, the distribution information collection server device 50 can disclose the traceability information, thereby making it possible to appeal to the consumer that the product is safe and secure with the guaranteed quality, and can also display the consumer's preference information. By making it public, producers can make production plans that meet market needs.

  As described above, one embodiment of the present invention has been described in detail with reference to the drawings. However, the specific configuration is not limited to the above, and various design changes and the like can be made without departing from the gist of the present invention. It is possible to

  For example, in the above-described embodiment, an example in which the product produced by the producer is a crop (cereals, vegetables, fruits, ornamental (horticultural) plants, feed crops, and the like) has been described. is not. For example, the product may be a cultured fish and shellfish.

  Note that a part of the functions of the producer terminal 10, the consumer terminal 20, the production management server device 30, the supply and demand matching server device 40, and the distribution information collection server device 50 in the above-described embodiment are realized by a computer. Is also good. In that case, a program for realizing this function may be recorded on a computer-readable recording medium, and the program recorded on this recording medium may be read and executed by a computer system. Here, the “computer system” is a computer system built in the producer terminal 10, the consumer terminal 20, the production management server device 30, the supply and demand matching server device 40, or the distribution information collection server device 50. And hardware such as an OS and peripheral devices. The “computer-readable recording medium” refers to a portable medium such as a flexible disk, a magneto-optical disk, a ROM, and a CD-ROM, and a storage device such as a hard disk built in a computer system. Further, the "computer-readable recording medium" is a medium that dynamically holds the program for a short time, such as a communication line for transmitting the program through a network such as the Internet or a communication line such as a telephone line, In this case, a program holding a program for a certain period of time, such as a volatile memory in a computer system serving as a server or a client, may be included. Further, the program may be for realizing a part of the functions described above, or may be for realizing the functions described above in combination with a program already recorded in the computer system.

  Further, a part or all of the producer terminal 10, the consumer terminal 20, the production management server device 30, the supply and demand matching server device 40, and the distribution information collection server device 50 may be implemented as an integrated circuit such as an LSI (Large Scale Integration). It may be realized. Moreover, each component in the producer terminal 10, the consumer terminal 20, the production management server device 30, the supply and demand matching server device 40, and the distribution information collection server device 50 of the present embodiment may be individually implemented as a processor. , Some or all of them may be integrated into a processor. The method of circuit integration is not limited to an LSI, and may be realized by a dedicated circuit or a general-purpose processor. Further, in the case where a technology for forming an integrated circuit that replaces the LSI appears due to the advance of the semiconductor technology, an integrated circuit based on the technology may be used.

  1 Production Distribution Management System, 10 Producer Terminal, 20 Consumer Terminal, 30 Production Management Server Device, 31 Standard Management Unit, 32 Production Status Management Unit, 33 Yield Prediction Unit, 34 Inventory Management Unit, 35 Traceability Data Management Unit, 36 Interface unit, 40 supply / demand matching server device, 50 distribution information collection server device, 110 production system, 300 production management system, 400 supply / demand matching system, 500 distribution information collection system

Claims (8)

A standard management unit that manages standard information indicating standards for products produced by a plurality of producers and presents the standard information to the plurality of producers,
A production status management unit that obtains production status information indicating a production status for each standard indicated in the standard information from each production system of the plurality of producers and manages the production status for each of the plurality of producers;
An information disclosure unit that discloses the production status information for each standard managed for each of the plurality of producers to a consumer or a consumer of the product,
Production and distribution management system with The standard includes a production standard for production or a shipping standard for shipment.
The production and distribution management system according to claim 1. The standard information is defined as a number of standards determined for one variety regardless of the difference between the producer and the production area,
The standard management unit,
For products of the same type, present the same standard information to any producer,
The production and distribution management system according to claim 1 or 2. A yield prediction unit that predicts the yield of each crop standard based on a growth model for each crop standard,
The production and distribution management system according to claim 1, further comprising: Supply-demand matching between the plurality of producers and the customer for each product standard based on the products by the plurality of producers and the order status from the customer ordering the product. Matching processing unit that performs
The production and distribution management system according to claim 1, further comprising: The plurality of producers have different management entities,
The production and distribution management system according to any one of claims 1 to 5. A management method in a production and distribution management system,
A standard management unit manages standard information indicating a standard for a product produced by a plurality of producers, and presenting the standard information to the plurality of producers,
A production status management unit that obtains, from each production system of the plurality of producers, production status information indicating a production status for each standard indicated in the standard information, and manages the production status information for each of the plurality of producers;
An information disclosure unit, the production status information for each standard managed for each of the plurality of producers, the step of disclosing to the consumer or consumer of the product,
Management method having On the computer,
Managing standard information indicating standards for products produced by a plurality of producers, and presenting the standard information to the plurality of producers;
A step of acquiring production status information indicating a production status for each standard indicated in the standard information from each production system of the plurality of producers and managing the production status information for each of the plurality of producers;
The production status information for each standard managed for each of the plurality of producers, a step of disclosing to the consumer or consumer of the product,
A program for executing

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