CN111105116A - Business mode applied to organic agriculture - Google Patents

Business mode applied to organic agriculture Download PDF

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CN111105116A
CN111105116A CN201811262312.4A CN201811262312A CN111105116A CN 111105116 A CN111105116 A CN 111105116A CN 201811262312 A CN201811262312 A CN 201811262312A CN 111105116 A CN111105116 A CN 111105116A
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client terminal
service
central server
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resources
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姜超群
徐晓东
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Guduodu Chengdu Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Forestry; Mining

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Abstract

The invention relates to a business model applied to organic agriculture, which solves the technical problems of low resource utilization rate and low docking speed of business resources and demands, and is based on an organic farm business system by adopting the business model, wherein the business system comprises a central server and a client terminal; the client terminal is used for sharing service resources by users, issuing service requirements and simultaneously sending user positions to the central server; an electronic map is arranged in the central server, and the central server generates a whole-field resource map according to the service resources shared by the client terminals and the user positions sent by the client terminals; the central server is also used for adapting in a whole-field resource map according to the service requirements sent by the client terminals, selecting another client terminal which is optimally matched with the service requirements of the client terminals for resource confirmation, sending orders to the two client terminals according to the confirmation result, and simultaneously changing the technical scheme of the same type of service requirements, so that the problem is well solved, and the method can be used in organic farm business.

Description

Business mode applied to organic agriculture
Technical Field
The invention relates to the field of organic agriculture, in particular to a business model applied to organic agriculture.
Background
Farmers of organic agriculture often require input products such as fertilizers, seeds, etc., as well as sales channels, enterprise services, wholesale, etc. Most of the current organic farms are in economically undeveloped areas such as the west and economically developed areas such as the east, which causes delay in supply and demand information and low efficiency in resource utilization.
The existing commercial model of organic agriculture cannot overcome the existing technical problems, so that it is necessary to provide an efficient and simple commercial model of organic agriculture.
Disclosure of Invention
The invention aims to solve the technical problems of low resource utilization rate and low docking speed of commercial resources and demands in the prior art. The business model applied to the organic agriculture has the characteristics of automatic adaptation of the requirements and matching of customers, no waste of customer resources and high utilization rate.
In order to solve the technical problems, the technical scheme is as follows:
a business model applied to organic agriculture, the business model being based on an organic farm business system comprising a central server, a client terminal connected to the central server via a network;
the client terminal is used for sharing service resources by users, issuing service requirements and simultaneously sending user positions to the central server;
an electronic map is arranged in the central server, and the central server generates a whole-field resource map according to the service resources shared by the client terminals and the user positions sent by the client terminals; the central server is also used for adapting in the whole-field resource map according to the service requirements sent by the client terminals, selecting another client terminal which is optimally matched with the service requirements of the client terminals for resource confirmation, sending orders to the two client terminals according to the confirmation result, and simultaneously changing the number of the same-type service requirements.
In the above scheme, for optimization, the business resources further include investment resources, sales resources, channel resources, and enterprise service resources of the organic farm.
Further, the generating the domain-wide resource map comprises:
the method comprises the steps that firstly, the geographical positions of N client terminals are marked on an electronic map, the N client terminals are divided into t groups of client terminal combinations according to the geographical positions nearby, each group is N/t client terminals, the client terminals in each group of client terminal combinations are sequentially connected into a client terminal combination according to the geographical positions, the t client terminal combinations are all connected with a central server through a network, adjacent client terminal combinations are connected with each other through a backup network, the client terminals connected with the backup network are defined as backup client terminals, and communication interfaces connected with the backup network of the backup client terminals are backup communication interfaces;
step two, a service resource type library is set in the central server, the service resources of the client terminal are compared and matched in the service resource type library in sequence, if the matching is successful, the step four is executed, and if the matching is failed, the step three is executed;
step three, adding the client terminal service resources into a service resource type library, wherein the number of the client terminal service resources is 0;
step four, increasing the number of client terminal service resources in the client terminal resource type library by 1, simultaneously carrying out actual path planning on the client terminal and other client terminals, and adding a path planning result into the electronic map;
and fifthly, displaying the client terminal identification mark, the service resource, the path distance and the price in the electronic map.
Further, the priority of the optimal matching is service symmetry, price, service extension degree and distance from high to low in sequence; the service extension expansibility is defined as the historical service requirements of the client terminal corresponding to all the similar service requirements.
Furthermore, the geographic position of the client terminal is determined by the hardware address of the client terminal, and the geographic position can be set by the client terminal after the central server passes the approval after the application of the client terminal.
Further, the business model applied to organic agriculture also includes:
step 1, a central server counts historical service demand data and historical service shared data, counts the received service demand of any client terminal, estimates the relation between the acceptable service demand quantity threshold value and time t, and obtains a prediction curve Fo(t)；
Step 2, counting the time tau required by the client terminal from the beginning of receiving the service requirement to the completion of the service requirement, and adding a time threshold value T when the client terminal issues the service requirement data;
step 3, calculating a service demand release function F according to the completion quantity of the similar service demand release quantity of (0, T) being more than or equal to (0, T) and the requirement release quantity of the similar service in the current T time needing to be completed in the next T timeI(t)；
Step 4, the maximum capacity of the business system for one type of business requirement is as follows:
Figure BDA0001844156920000041
wherein K is a positive integer.
Further, a fitted curve method is adopted for statistics in the step 1.
The invention has the beneficial effects that: according to the resource sharing method and the resource sharing system, the resource sharing of the client terminal is set by introducing the mode of the resource map, so that the resources and other parameters of the client in the map can be clear at a glance. When the user issues the demand, the system automatically adapts to the optimal selection for recommending and placing the order through parameter comparison, and efficient combination of the demand and the resource is achieved. Meanwhile, the resources of the client are not vacant due to the sharing action, and the utilization rate is high. Secondly, in the construction of the resource map, the network connection with high reliability is realized by constructing a multi-layer backup network. Through the estimation of historical statistics of similar service demands, the service threshold value in a commercial system is predicted, and an organizer is reminded to effectively distribute resources.
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The invention is further illustrated with reference to the following figures and examples.
Fig. 1, a schematic diagram of a commercial system in example 1.
Fig. 2 is a schematic diagram of generating a domain-wide resource map in embodiment 1.
Fig. 3 is a schematic diagram of a similar service demand threshold estimation process in embodiment 1.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example 1
The present embodiment provides a business model applied to organic agriculture, as shown in fig. 1, based on an organic farm business system including a central server, a client terminal connected to the central server through a network;
the client terminal is used for sharing service resources by users, issuing service requirements and simultaneously sending user positions to the central server;
an electronic map is arranged in the central server, and the central server generates a whole-field resource map according to the service resources shared by the client terminals and the user positions sent by the client terminals; the central server is also used for adapting in the whole-field resource map according to the service requirements sent by the client terminals, selecting another client terminal which is optimally matched with the service requirements of the client terminals for resource confirmation, sending orders to the two client terminals according to the confirmation result, and simultaneously changing the number of the same-type service requirements.
In this embodiment, the business resources include investment resources, sales resources, channel resources, and enterprise service resources of the organic farm.
Specifically, as shown in fig. 2, the generating the domain-wide resource map includes:
the method comprises the steps that firstly, the geographical positions of N client terminals are marked on an electronic map, the N client terminals are divided into t groups of client terminal combinations according to the geographical positions nearby, each group is N/t client terminals, the client terminals in each group of client terminal combinations are sequentially connected into a client terminal combination according to the geographical positions, the t client terminal combinations are all connected with a central server through a network, adjacent client terminal combinations are connected with each other through a backup network, the client terminals connected with the backup network are defined as backup client terminals, and communication interfaces connected with the backup network of the backup client terminals are backup communication interfaces;
step two, a service resource type library is set in the central server, the service resources of the client terminal are compared and matched in the service resource type library in sequence, if the matching is successful, the step four is executed, and if the matching is failed, the step three is executed;
step three, adding the client terminal service resources into a service resource type library, wherein the number of the client terminal service resources is 0;
step four, increasing the number of client terminal service resources in the client terminal resource type library by 1, simultaneously carrying out actual path planning on the client terminal and other client terminals, and adding a path planning result into the electronic map;
and fifthly, displaying the client terminal identification mark, the service resource, the path distance and the price in the electronic map.
Defining the initial state of the backup communication interface as COLD, and only forwarding a communication control instruction but not forwarding a service requirement instruction in the state; when a backup client terminal backs up a communication interface HOT, sending handshake data packets to an adjacent client terminal combination, receiving the handshake data packets sent by the backup client terminals of the adjacent client terminal group by the client terminal combination, and updating state information (forwarding state, active FORWARD and passive FORWARD) of the adjacent client terminal combination connected and stored by the backup client terminal; and the backup client terminal sends a backup client terminal vector notification data packet through two communication interfaces, and a main backup client terminal is weighted and calculated in a client terminal combination to which the backup client terminal belongs.
The node configured with the backup communication interface in the all-field resource map defined in this embodiment is referred to as a backup client terminal, and the client terminal not configured with the backup communication interface is referred to as a non-backup client terminal. The non-backup client terminal is able to recognize and forward the protocol data packets involved in the present invention. The backup client terminal can sense the state of a link between the whole-domain resource map network and the central server. Each client terminal is capable of reflecting received vector advertisement packets of the backup client terminal where the communication interface fails. An identification of a last backup network of the other backup networks connected to the backup network through the backup link of the backup client terminal.
In this embodiment, the handshake information includes connection status information of the backup network and the network of the central server, status information of backup links of other backup client terminals of the backup network, and an identifier of a last backup network in other backup networks connected to the backup network through the backup links of other backup client terminals of the backup network.
The backup client terminal vector comprises state information of a link connected by the backup client terminal and an adjacent client terminal combination, connection state information of the adjacent client terminal combination connected by the backup client terminal through the backup link and a network of the central server, reversible connection capacity of a backup communication interface of the backup client terminal, identification information of the backup client terminal, and identification information of a backup network connected by the backup client terminal through the backup link.
The weighting calculation process of the main backup client terminal comprises the following steps: and the backup client terminal in the backup network receives the backup client terminal vector notification data packet, compares the current backup client terminal vector with the backup client terminal vector in the received backup client terminal vector notification data packet, and calculates the backup client terminal corresponding to the backup client terminal vector with preference as the main backup client terminal in a weighted manner.
And the non-backup client terminal in the backup network receives the vector notification data packet of the backup client terminal and forwards the vector notification data packet through another communication interface of the backup client terminal.
Step A1, comparing the state information of backup link combined by backup client terminal and adjacent client terminal, the first priority is that the backup link is the backup client terminal of HOT, the second priority is that the forwarding state of backup communication interface is the backup client terminal of COLD;
step A2, comparing the connection status information of the network of the adjacent client terminal combination and the central server, wherein the connection of the network of the adjacent client terminal combination and the central server is the effective backup client terminal;
step A3, comparing the reversible connection ability of the backup link of the backup client terminal, and selecting the backup client terminal with the reversible connection ability as the preference;
step A4, comparing the backup client terminal identification information, and selecting the backup client terminal vector.
The priority of the optimal matching is service symmetry, price, service extension degree and distance from high to low in sequence; the service extension expansibility is defined as the historical service requirements of the client terminal corresponding to all the similar service requirements.
Specifically, the geographic position of the client terminal is determined by a hardware address of the client terminal, and the geographic position can be set by the client terminal after the client terminal applies and the central server passes approval.
Preferably, as shown in fig. 3, the business model applied to organic agriculture further includes:
step 1, a central server counts historical service demand data and historical service shared data, counts the received service demand of any client terminal, estimates the relation between the acceptable service demand quantity threshold value and time t, and obtains a prediction curve Fo(t)；
Step 2, counting the time tau required by the client terminal from the beginning of receiving the service requirement to the completion of the service requirement, and adding a time threshold value T when the client terminal issues the service requirement data;
step 3, calculating a service demand release function F according to the completion quantity of the similar service demand release quantity of (0, T) being more than or equal to (0, T) and the requirement release quantity of the similar service in the current T time needing to be completed in the next T timeI(t)；
Step 4, the maximum capacity of the business system for one type of business requirement is as follows:
Figure BDA0001844156920000091
wherein K is a positive integer.
In detail, a curve fitting method is adopted for statistics in the step 1.
Although the illustrative embodiments of the present invention have been described above to enable those skilled in the art to understand the present invention, the present invention is not limited to the scope of the embodiments, and it is apparent to those skilled in the art that all the inventive concepts using the present invention are protected as long as they can be changed within the spirit and scope of the present invention as defined and defined by the appended claims.

Claims (7)

1. A business model for organic agriculture, comprising: the business model is based on an organic farm business system comprising a central server, a client terminal connected to the central server via a network;
the client terminal is used for sharing service resources by users, issuing service requirements and simultaneously sending user positions to the central server;
an electronic map is arranged in the central server, and the central server generates a whole-field resource map according to the service resources shared by the client terminals and the user positions sent by the client terminals; the central server is also used for adapting in the whole-field resource map according to the service requirements sent by the client terminals, selecting another client terminal which is optimally matched with the service requirements of the client terminals for resource confirmation, sending orders to the two client terminals according to the confirmation result, and simultaneously changing the number of the same-type service requirements.
2. A business model for organic agriculture applications as defined in claim 1 wherein: the business resources comprise investment resources, sales resources, channel resources and enterprise service resources of the organic farm.
3. A business model for organic agriculture applications as defined in claim 2 wherein: the generating of the domain-wide resource map comprises:
the method comprises the steps that firstly, the geographical positions of N client terminals are marked on an electronic map, the N client terminals are divided into t groups of client terminal combinations according to the geographical positions nearby, each group is N/t client terminals, the client terminals in each group of client terminal combinations are sequentially connected into a client terminal combination according to the geographical positions, the t client terminal combinations are all connected with a central server through a network, adjacent client terminal combinations are connected with each other through a backup network, the client terminals connected with the backup network are defined as backup client terminals, and communication interfaces connected with the backup network of the backup client terminals are backup communication interfaces;
step two, a service resource type library is set in the central server, the service resources of the client terminal are compared and matched in the service resource type library in sequence, if the matching is successful, the step four is executed, and if the matching is failed, the step three is executed;
step three, adding the client terminal service resources into a service resource type library, wherein the number of the client terminal service resources is 0;
step four, increasing the number of client terminal service resources in the client terminal resource type library by 1, simultaneously carrying out actual path planning on the client terminal and other client terminals, and adding a path planning result into the electronic map;
and fifthly, displaying the client terminal identification mark, the service resource, the path distance and the price in the electronic map.
4. A business model for organic agriculture applications as defined in claim 3 wherein: the optimal matching priority is sequentially service symmetry, price, service extension and extension degree and distance from high to low; the service extension expansibility is defined as the historical service requirements of the client terminal corresponding to all the similar service requirements.
5. A business model for organic agriculture applications as defined in claim 1 wherein: the geographical position of the client terminal is determined by the hardware address of the client terminal, and can be set by the client terminal after the central server passes the approval after the application of the client terminal.
6. A business model for organic agriculture applications as defined in claim 1 wherein: the business model applied to organic agriculture also includes:
step 1, a central server counts historical service demand data and historical service shared data, counts the received service demand of any client terminal, estimates the relation between the acceptable service demand quantity threshold value and time t, and obtains a prediction curve Fo(t)；
Step 2, counting the time tau required by the client terminal from the beginning of receiving the service requirement to the completion of the service requirement, and adding a time threshold value T when the client terminal issues the service requirement data;
step 3, calculating a service demand release function F according to the completion quantity of the similar service demand release quantity of (0, T) being more than or equal to (0, T) and the requirement release quantity of the similar service in the current T time needing to be completed in the next T timeI(t)；
Step 4, the maximum capacity of the business system for one type of business requirement is as follows:
Figure FDA0001844156910000031
i＝1,2,..K
wherein K is a positive integer.
7. A business model for organic agriculture applications as defined in claim 1 wherein: and (3) performing statistics by adopting a fitted curve method in the step 1.
CN201811262312.4A 2018-10-27 2018-10-27 Business mode applied to organic agriculture Pending CN111105116A (en)

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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102779367A (en) * 2012-07-13 2012-11-14 南京信息工程大学 Scheduling method of queuing processing system and queuing machine for prediction of service processing time
CN103701894A (en) * 2013-12-25 2014-04-02 浙江省公众信息产业有限公司 Method and system for dispatching dynamic resource
CN104091271A (en) * 2014-07-03 2014-10-08 重庆触视科技有限公司 Regional business and service ecological system platform
CN104463506A (en) * 2014-12-30 2015-03-25 宁波保税区攀峒信息科技有限公司 Demand docking system
CN104766153A (en) * 2015-02-03 2015-07-08 中国科学院合肥物质科学研究院 Agricultural things-internet platform architecture
CN105844338A (en) * 2016-05-09 2016-08-10 北京天龙天天洁再生资源回收利用有限公司 User-oriented resource recovery method and apparatus
CN106095618A (en) * 2016-06-06 2016-11-09 北京中油瑞飞信息技术有限责任公司 The method and system of data manipulation
CN107423923A (en) * 2016-12-30 2017-12-01 北京工业大学 Material flow tracking and dispatching method using dispatching person as core
CN108055340A (en) * 2017-12-22 2018-05-18 平安养老保险股份有限公司 Customer resources distribution method, device, computer equipment and storage medium
CN108683730A (en) * 2018-05-11 2018-10-19 深圳市网心科技有限公司 Resource regulating method, service server, client terminal, network system and medium

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102779367A (en) * 2012-07-13 2012-11-14 南京信息工程大学 Scheduling method of queuing processing system and queuing machine for prediction of service processing time
CN103701894A (en) * 2013-12-25 2014-04-02 浙江省公众信息产业有限公司 Method and system for dispatching dynamic resource
CN104091271A (en) * 2014-07-03 2014-10-08 重庆触视科技有限公司 Regional business and service ecological system platform
CN104463506A (en) * 2014-12-30 2015-03-25 宁波保税区攀峒信息科技有限公司 Demand docking system
CN104766153A (en) * 2015-02-03 2015-07-08 中国科学院合肥物质科学研究院 Agricultural things-internet platform architecture
CN105844338A (en) * 2016-05-09 2016-08-10 北京天龙天天洁再生资源回收利用有限公司 User-oriented resource recovery method and apparatus
CN106095618A (en) * 2016-06-06 2016-11-09 北京中油瑞飞信息技术有限责任公司 The method and system of data manipulation
CN107423923A (en) * 2016-12-30 2017-12-01 北京工业大学 Material flow tracking and dispatching method using dispatching person as core
CN108055340A (en) * 2017-12-22 2018-05-18 平安养老保险股份有限公司 Customer resources distribution method, device, computer equipment and storage medium
CN108683730A (en) * 2018-05-11 2018-10-19 深圳市网心科技有限公司 Resource regulating method, service server, client terminal, network system and medium

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