WO2019085413A1 - 种植参数设置方法及种植参数设置装置 - Google Patents

种植参数设置方法及种植参数设置装置 Download PDF

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Publication number
WO2019085413A1
WO2019085413A1 PCT/CN2018/084164 CN2018084164W WO2019085413A1 WO 2019085413 A1 WO2019085413 A1 WO 2019085413A1 CN 2018084164 W CN2018084164 W CN 2018084164W WO 2019085413 A1 WO2019085413 A1 WO 2019085413A1
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target
parameter
planting
evaluation dimension
plant factory
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PCT/CN2018/084164
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English (en)
French (fr)
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朱炯
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深圳春沐源控股有限公司
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2457—Query processing with adaptation to user needs
    • G06F16/24578—Query processing with adaptation to user needs using ranking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2457—Query processing with adaptation to user needs
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/284—Relational databases
    • G06F16/285—Clustering or classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • 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

Definitions

  • the invention relates to the field of intelligent planting technology, in particular to a planting parameter setting method and a planting parameter setting device.
  • the plant factory is a system for continuous production of crops through high-precision environmental control in the facility, that is, using computers to automatically control the environmental conditions such as temperature, humidity, light, carbon dioxide concentration and nutrient solution of plant growth, so that plant growth in the facility is not controlled. Or labor-saving production that is rarely restricted by natural conditions.
  • a plant plant-based synchronized planting system includes a first plant factory and a second plant factory connected by a cloud server, and the cloud server receives and synchronizes growth environment data of the first plant factory and the second plant factory, generally
  • the first plant factory is a family micro-plant factory
  • the second plant factory is a large-scale plant factory, which synchronizes the growth environment of the home micro-plant factory and the large-scale plant factory through the cloud server, so that users can experience planting at home. The fun and meet the needs of the family's daily vegetables and fruits.
  • plant plants provide a closed, controlled planting environment that requires crop planting in closed environments, whether in large plant plants or in home micro-plant plants.
  • closed environments whether in large plant plants or in home micro-plant plants.
  • the family micro-plant factory has entered some families, but because the plant factory needs to control the crop environment in an all-round way, many users are limited by the lack of professional planting knowledge, on the one hand only Planting a limited variety of vegetables according to the planting instructions, on the other hand, due to improper control can lead to plant failure, in short, the user's planting experience is not good.
  • the invention is based on at least one of the above technical problems, and provides a new planting parameter setting scheme, which can realize the synchronization of the optimal planting parameters between the plant factories, and facilitates the user to quickly configure the planting parameters of the plant factory to enhance the user's Planting experience.
  • a planting parameter setting method for a server, comprising: receiving parameter information in a full growth cycle of a crop uploaded by a first plant factory; and extracting each crop Target parameter information matching the preset evaluation dimension in the parameter information; receiving a query keyword corresponding to the target crop sent by the user terminal associated with the second plant factory, and transmitting the preset evaluation dimension corresponding to the query keyword to the user
  • the terminal acquires target planting parameters of the target crop according to the target parameter information and the parameter screening rule generated by the user terminal based on the preset evaluation dimension; and sends the target planting parameter to the user terminal for parameter setting of the second plant factory.
  • the parameter information in the whole growth period of the crop planted by the first plant factory uploaded to the server is stored and classified according to a preset evaluation dimension, specifically for each crop, the whole growth cycle is extracted.
  • the target parameter information matching the preset evaluation dimension in the parameter information and when receiving the query keyword sent by the user terminal for acquiring the target planting parameter of the target crop, pushing the relevant preset evaluation dimension to the user terminal
  • the user terminal generates a parameter screening rule for selecting the target planting parameter, and then acquiring the target planting parameter based on the parameter screening rule and the target parameter information corresponding to the preset evaluation dimension, for the user to perform according to the preset evaluation dimension.
  • the classification process and the target planting parameters obtained by the planting requirements of the users of the second plant factory are used to set the planting parameters of the second plant factory, so that the optimal planting parameters between different plant factories can be synchronized based on the server, and the user is convenient. Quickly configure the planting parameters of the plant, thus L planting user experience.
  • the first plant factory may be a large plant factory and the second plant factory may be a home micro plant factory.
  • the step of acquiring target planting parameters of the target crop according to the target parameter information and the parameter screening rule generated by the user based on the preset evaluation dimension comprises: for each evaluation dimension in the preset evaluation dimension, A plant factory sorts according to the target parameter information corresponding to each evaluation dimension; according to the priority ranking of the target evaluation dimension included in the parameter screening rule and/or the parameter value range corresponding to the target evaluation dimension in the first plant factory that completes the sorting The target first plant factory is selected; the planting parameter in the parameter information corresponding to the target crop uploaded by the target first plant factory is taken as the target planting parameter.
  • the first plant factory may be prioritized based on the target parameter information corresponding to each evaluation dimension in the preset evaluation dimension, and then the user-set target in the rule is filtered according to the parameter sent by the user terminal.
  • the target evaluation dimension selected in the preset evaluation dimension of the classification information processed by the factory and the parameter value range corresponding to the target evaluation dimension desired by the user are selected for the target first plant synchronized with the planting parameter of the second plant factory.
  • the plant feeds the planting parameters uploaded by the target first plant factory for the target crop (ie matching the query keywords) as the target planting parameters to the user terminal, which is applicable to the target crop and meets the optimal planting parameters expected by the user. Synchronized to the second plant factory to facilitate the user to achieve one-click planting Set, quickly and efficiently.
  • the parameter value range of the target evaluation dimension may be specifically set based on the target parameter information corresponding to the target evaluation dimension stored in the server, so as to ensure that the set parameter range is valid, thereby achieving the purpose of the first plant factory. Clear screening to accurately target the target first plant.
  • the parameter information includes: planting parameter information, growth parameter information, and cost parameter information, wherein the growth parameter information includes: yield information, taste information, phase information, and growth cycle information;
  • the evaluation dimensions include: yield, taste, appearance, cost, and growth cycle.
  • the parameter information in the whole growth cycle of the crop uploaded by the first plant factory to the server includes but is not limited to: planting parameter information, such as environmental parameter information, fertilizer parameter information, etc.; growth parameter information, such as yield information, taste Information, phase information and growth cycle information; and cost parameter information, the more detailed the parameter information, the more favorable it is to monitor and manage the crop;
  • the preset evaluation dimension for classifying and managing the above parameter information of the crop includes Not limited to: yield, taste, appearance, cost and growth cycle, different preset evaluation dimensions can be adapted for different crops.
  • a planting parameter setting device for a server, comprising: a receiving module, configured to receive parameter information in a full growth period of a crop uploaded by a first plant factory; and an extraction module, Extracting target parameter information matching the preset evaluation dimension in the parameter information of each crop; the processing module is configured to receive a query keyword corresponding to the target crop sent by the user terminal associated with the second plant factory, and query the query The preset preset evaluation dimension is sent to the user terminal, and the obtaining module is configured to obtain the target planting parameter of the target crop according to the target parameter information and the parameter screening rule generated by the user terminal based on the preset evaluation dimension; and the sending module is configured to use the target The planting parameters are sent to the user terminal for parameter setting of the second plant factory.
  • the parameter information in the whole growth period of the crop planted by the first plant factory uploaded to the server is stored and classified according to a preset evaluation dimension, specifically for each crop, the whole growth cycle is extracted.
  • the target parameter information matching the preset evaluation dimension in the parameter information and when receiving the query keyword sent by the user terminal for acquiring the target planting parameter of the target crop, pushing the relevant preset evaluation dimension to the user terminal
  • the user terminal generates a parameter screening rule for selecting the target planting parameter, and then acquiring the target planting parameter based on the parameter screening rule and the target parameter information corresponding to the preset evaluation dimension, for the user to perform according to the preset evaluation dimension.
  • the classification process and the target planting parameters obtained by the planting requirements of the users of the second plant factory are used to set the planting parameters of the second plant factory, so that the optimal planting parameters between different plant factories can be synchronized based on the server, and the user is convenient. Quickly configure the planting parameters of the plant, thus L planting user experience.
  • the first plant factory may be a large plant factory and the second plant factory may be a home micro plant factory.
  • the obtaining module specifically includes: a sorting sub-module, configured to sort the first plant factory according to the target parameter information corresponding to each evaluation dimension for each evaluation dimension in the preset evaluation dimension; a screening sub-module, configured to select a target first plant factory in the first plant factory that completes sorting according to a priority ordering of the target evaluation dimension included in the parameter screening rule and/or a parameter value range corresponding to the target evaluation dimension;
  • the sub-module is configured to use the planting parameter in the parameter information corresponding to the target crop uploaded by the target first plant factory as the target planting parameter.
  • the first plant factory may be prioritized based on the target parameter information corresponding to each evaluation dimension in the preset evaluation dimension, and then the user-set target in the rule is filtered according to the parameter sent by the user terminal.
  • the target evaluation dimension selected in the preset evaluation dimension of the classification information processed by the factory and the parameter value range corresponding to the target evaluation dimension desired by the user are selected for the target first plant synchronized with the planting parameter of the second plant factory.
  • the plant feeds the planting parameters uploaded by the target first plant factory for the target crop (ie matching the query keywords) as the target planting parameters to the user terminal, which is applicable to the target crop and meets the optimal planting parameters expected by the user. Synchronized to the second plant factory to facilitate the user to achieve one-click planting Set, quickly and efficiently.
  • the parameter value range of the target evaluation dimension may be specifically set based on the target parameter information corresponding to the target evaluation dimension stored in the server, so as to ensure that the set parameter range is valid, thereby achieving the purpose of the first plant factory. Clear screening to accurately target the target first plant.
  • the parameter information includes: planting parameter information, growth parameter information, and cost parameter information, wherein the growth parameter information includes: yield information, taste information, phase information, and growth cycle information;
  • the evaluation dimensions include: yield, taste, appearance, cost, and growth cycle.
  • the parameter information in the whole growth cycle of the crop uploaded by the first plant factory to the server includes but is not limited to: planting parameter information, such as environmental parameter information, fertilizer parameter information, etc.; growth parameter information, such as yield information, taste Information, quality information and growth cycle information; and cost parameter information, the more detailed the parameter information, the more favorable it is to monitor and manage the crop;
  • the preset evaluation dimension for classifying and managing the above parameter information of the crop includes Not limited to: yield, taste, appearance, cost and growth cycle, different preset evaluation dimensions can be adapted for different crops.
  • a server comprising the planting parameter setting device according to any one of the above aspects, wherein the server has all the beneficial effects of the planting parameter setting device, and Let me repeat.
  • a computer device comprising: a processor; a memory for storing processor-executable instructions, wherein the processor is configured to execute the executable instructions stored in the memory as described above.
  • a computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements any one of the above aspects of the first aspect, The steps of the planting parameter setting method.
  • a planting parameter setting method for a user terminal, comprising: sending a query keyword corresponding to a target crop to be planted to a server; and receiving a server according to a key feedback and a target of the query a preset evaluation dimension of the crop matching; generating a parameter screening rule based on the preset evaluation dimension according to the user operation instruction; sending the parameter screening rule to the server for acquiring the target crop uploaded by the first plant factory stored in the server The target planting parameters; receiving the target planting parameters, and setting the parameters of the second plant factory according to the target planting parameters.
  • the program for acquiring the target planting parameter can be started by sending a query keyword (such as a crop name, a variety code, etc.) corresponding to the target crop to the server.
  • a query keyword such as a crop name, a variety code, etc.
  • the server when receiving a preset evaluation dimension that is matched by the server based on the query keyword feedback and matching the target crop, generating, by the user operation instruction, the uploading by the first plant factory for acquiring the storage in the server according to the preset evaluation dimension.
  • the first plant factory may be a large plant factory and the second plant factory may be a home micro plant factory.
  • the step of generating a parameter screening rule based on the preset evaluation dimension according to the user operation instruction comprises: selecting a target evaluation dimension in the preset evaluation dimension according to the user operation instruction, and prioritizing the target evaluation dimension Sorting; and/or selecting a target evaluation dimension and setting a parameter value range of the target evaluation dimension in a preset evaluation dimension according to a user operation instruction, and prioritizing the target evaluation dimension.
  • the target evaluation dimension selected from the preset evaluation dimension may be used as a parameter screening rule, so that the server selects the target first plant factory according to the priority ranking of the target evaluation dimension, and then filters the applicable.
  • the target planting parameters of the target crop, and/or the parameter value range of the target evaluation dimension selected from the preset evaluation dimension may also be set as a parameter screening rule to screen the first plant factory based on the quantitative standard and then screen Target planting parameters applicable to the target crop.
  • the parameter value range of the target evaluation dimension may be specifically set based on the target parameter information corresponding to the target evaluation dimension stored in the server, so as to ensure that the set parameter range is valid, thereby achieving the purpose of the first plant factory. Clear screening to accurately target the target first plant.
  • a planting parameter setting device for a user terminal, comprising: a query module, configured to send a query keyword corresponding to a target crop to be planted to a server; and a receiving module, And a generating module, configured to generate a parameter filtering rule based on the preset evaluation dimension according to the user operation instruction, and a sending module, configured to send the parameter filtering rule to the server, For obtaining the target planting parameter for the target crop uploaded by the first plant factory stored in the server; setting a module for receiving the target planting parameter, and setting the parameter of the second plant factory according to the target planting parameter.
  • the program for acquiring the target planting parameter can be started by sending a query keyword (such as a crop name, a variety code, etc.) corresponding to the target crop to the server.
  • a query keyword such as a crop name, a variety code, etc.
  • the server when receiving a preset evaluation dimension that is matched by the server based on the query keyword feedback and matching the target crop, generating, by the user operation instruction, the uploading by the first plant factory for acquiring the storage in the server according to the preset evaluation dimension.
  • the first plant factory may be a large plant factory and the second plant factory may be a home micro plant factory.
  • the generating module is specifically configured to: select a target evaluation dimension in a preset evaluation dimension according to a user operation instruction, and prioritize the target evaluation dimension; and/or preset the evaluation dimension according to the user operation instruction. Select the target evaluation dimension and set the parameter value range of the target evaluation dimension, and prioritize the target evaluation dimension.
  • the target evaluation dimension selected from the preset evaluation dimension may be used as a parameter screening rule, so that the server selects the target first plant factory according to the priority ranking of the target evaluation dimension, and then filters the applicable.
  • the target planting parameters of the target crop, and/or the parameter value range of the target evaluation dimension selected from the preset evaluation dimension may also be set as a parameter screening rule to screen the first plant factory based on the quantitative standard and then screen Target planting parameters applicable to the target crop.
  • the parameter value range of the target evaluation dimension may be specifically set based on the target parameter information corresponding to the target evaluation dimension stored in the server, so as to ensure that the set parameter range is valid, thereby achieving the purpose of the first plant factory. Clear screening to accurately target the target first plant.
  • a user terminal comprising the planting parameter setting device according to any one of the above aspects, wherein the user terminal has all the beneficial effects of the planting parameter setting device, This will not be repeated here.
  • a computer device includes: a processor; a memory for storing processor-executable instructions, wherein the processor is configured to execute the executable instructions stored in the memory as described above.
  • a computer readable storage medium having stored thereon a computer program, the computer program being executed by a processor, implementing the method according to any one of the sixth aspect, The steps of the planting parameter setting method.
  • a planting parameter setting system comprising the server described in the technical solution of the third aspect and the user terminal described in the technical solution of the eighth aspect.
  • the optimal planting parameters between the plant factories can be synchronized, and the user can quickly configure the planting parameters of the plant factory to enhance the user's planting experience.
  • FIG. 1 is a flow chart showing a method for setting a planting parameter for a server according to an embodiment of the present invention
  • FIG. 2 is a schematic flow chart of a method for obtaining target planting parameters according to a parameter screening rule according to an embodiment of the present invention
  • FIG. 3 is a schematic block diagram of a planting parameter setting device for a server according to an embodiment of the present invention.
  • Figure 4 shows a schematic block diagram of the acquisition module shown in Figure 3;
  • Figure 5 shows a schematic block diagram of a server in accordance with an embodiment of the present invention
  • Figure 6 shows a schematic block diagram of a computer device in accordance with a first embodiment of the present invention
  • FIG. 7 is a schematic flowchart diagram of a planting parameter setting method for a user terminal according to an embodiment of the present invention.
  • FIG. 8 is a schematic block diagram showing a planting parameter setting device for a user terminal according to an embodiment of the present invention.
  • FIG. 9 is a schematic block diagram of a user terminal according to an embodiment of the present invention.
  • Figure 10 is a schematic block diagram of a computer device in accordance with a second embodiment of the present invention.
  • FIG. 1 is a flow chart showing a method for setting a planting parameter for a server according to an embodiment of the present invention.
  • a method for setting a planting parameter for a server specifically includes the following process steps:
  • Step 102 Receive parameter information in a full growth period of the crop uploaded by the first plant factory.
  • the parameter information in the whole growth cycle of the crop uploaded by the first plant factory to the server includes but is not limited to: planting parameter information, such as environmental parameter information, fertilizer parameter information, etc.; growth parameter information, such as yield information, taste information , product information and growth cycle information; and cost parameter information, the more detailed the parameter information, the better the monitoring and management of crops.
  • Step 104 Extract target parameter information that matches the preset evaluation dimension in the parameter information of each crop.
  • the preset evaluation dimensions for classifying and managing the above parameter information of the crop include but are not limited to: yield, taste, appearance, cost and growth cycle, and different preset evaluations can be adapted for different crops. Dimensions.
  • Step 106 Receive a query keyword corresponding to the target crop sent by the user terminal associated with the second plant factory, and send a preset evaluation dimension corresponding to the query keyword to the user terminal.
  • Step 108 Acquire a target planting parameter of the target crop according to the target parameter information and a parameter screening rule generated by the user terminal based on the preset evaluation dimension.
  • Step 110 Send the target planting parameter to the user terminal for parameter setting of the second plant factory.
  • the first plant factory may be a large plant factory and the second plant factory may be a home micro plant factory.
  • the parameter information in the whole growth period of the crop planted by the first plant factory uploaded to the server is stored and classified according to a preset evaluation dimension, specifically for each crop, the whole growth cycle is extracted.
  • the target parameter information matching the preset evaluation dimension in the parameter information and when receiving the query keyword sent by the user terminal for acquiring the target planting parameter of the target crop, pushing the relevant preset evaluation dimension to the user terminal
  • the user terminal generates a parameter screening rule for selecting the target planting parameter, and then acquiring the target planting parameter based on the parameter screening rule and the target parameter information corresponding to the preset evaluation dimension, for the user to perform according to the preset evaluation dimension.
  • the classification process and the target planting parameters obtained by the planting requirements of the users of the second plant factory are used to set the planting parameters of the second plant factory, so that the optimal planting parameters between different plant factories can be synchronized based on the server, and the user is convenient. Quickly configure planting parameters for plant plants to Increase the user's planting experience.
  • step 108 the method step shown in FIG. 2 may be specifically performed, including:
  • Step 1082 For each evaluation dimension in the preset evaluation dimension, the first plant factory is sorted according to the target parameter information corresponding to each evaluation dimension.
  • Step 1084 Select a target first plant factory in the first plant factory that completes sorting according to the priority ranking of the target evaluation dimension and/or the parameter value range corresponding to the target evaluation dimension included in the parameter screening rule.
  • step 1086 the planting parameter in the parameter information corresponding to the target crop uploaded by the target first plant factory is taken as the target planting parameter.
  • the first plant factory may be prioritized based on the target parameter information corresponding to each evaluation dimension in the preset evaluation dimension, and then the user-set target in the rule is filtered according to the parameter sent by the user terminal.
  • the target evaluation dimension selected in the preset evaluation dimension of the classification information processed by the factory and the parameter value range corresponding to the target evaluation dimension desired by the user are selected for the target first plant synchronized with the planting parameter of the second plant factory.
  • the plant feeds the planting parameters uploaded by the target first plant factory for the target crop (ie matching the query keywords) as the target planting parameters to the user terminal, which is applicable to the target crop and meets the optimal planting parameters expected by the user. Synchronized to the second plant to facilitate one-click planting parameters Fixed, fast and efficient.
  • the parameter value range of the target evaluation dimension may be specifically set based on the target parameter information corresponding to the target evaluation dimension stored in the server, so as to ensure that the set parameter range is valid, thereby achieving the purpose of the first plant factory. Clear screening to accurately target the target first plant.
  • Fig. 3 is a schematic block diagram showing a planting parameter setting device for a server according to an embodiment of the present invention.
  • the planting parameter setting device 30 for a server specifically includes: a receiving module 302, an extracting module 304, a processing module 306, an obtaining module 308, and a sending module 310.
  • the receiving module 302 is configured to receive parameter information in a full growth period of the crop uploaded by the first plant factory; the extracting module 304 is configured to extract target parameter information that matches the preset evaluation dimension in the parameter information of each crop; and the processing module 306 And a query keyword corresponding to the target crop sent by the user terminal associated with the second plant factory, and sending a preset evaluation dimension corresponding to the query keyword to the user terminal; the obtaining module 308 is configured to use the target parameter information and The user terminal acquires the target planting parameter of the target crop based on the parameter screening rule generated by the preset evaluation dimension; the sending module 310 is configured to send the target planting parameter to the user terminal for parameter setting of the second plant factory.
  • the parameter information in the whole growth period of the crop planted by the first plant factory uploaded to the server is stored and classified according to a preset evaluation dimension, specifically for each crop, the whole growth cycle is extracted.
  • the target parameter information matching the preset evaluation dimension in the parameter information and when receiving the query keyword sent by the user terminal for acquiring the target planting parameter of the target crop, pushing the relevant preset evaluation dimension to the user terminal
  • the user terminal generates a parameter screening rule for selecting the target planting parameter, and then acquiring the target planting parameter based on the parameter screening rule and the target parameter information corresponding to the preset evaluation dimension, for the user to perform according to the preset evaluation dimension.
  • the classification process and the target planting parameters obtained by the planting requirements of the users of the second plant factory are used to set the planting parameters of the second plant factory, so that the optimal planting parameters between different plant factories can be synchronized based on the server, and the user is convenient. Quickly configure planting parameters for plant plants to User planting experience.
  • the first plant factory may be a large plant factory and the second plant factory may be a home micro plant factory.
  • the obtaining module 308 specifically includes: a sorting submodule 3082, a screening submodule 3084, and a determining submodule 3086, as shown in FIG.
  • the sorting sub-module 3082 is configured to sort the first plant factory according to the target parameter information corresponding to each evaluation dimension for each evaluation dimension in the preset evaluation dimension; the filtering sub-module 3084 is configured to include according to the parameter filtering rule.
  • the priority ranking of the target evaluation dimension and/or the parameter evaluation range corresponding to the target evaluation dimension selects the target first plant factory in the first plant factory that completes the ranking; the determination sub-module 3086 is used to upload the target first plant factory
  • the planting parameter in the parameter information corresponding to the target crop is used as the target planting parameter.
  • the first plant factory may be prioritized based on the target parameter information corresponding to each evaluation dimension in the preset evaluation dimension, and then the user-set target in the rule is filtered according to the parameter sent by the user terminal.
  • the target evaluation dimension selected in the preset evaluation dimension of the classification information processed by the factory and the parameter value range corresponding to the target evaluation dimension desired by the user are selected for the target first plant synchronized with the planting parameter of the second plant factory.
  • the plant feeds the planting parameters uploaded by the target first plant factory for the target crop (ie matching the query keywords) as the target planting parameters to the user terminal, which is applicable to the target crop and meets the optimal planting parameters expected by the user. Synchronized to the second plant to facilitate one-click planting parameters Fixed, fast and efficient.
  • the parameter value range of the target evaluation dimension may be specifically set based on the target parameter information corresponding to the target evaluation dimension stored in the server, so as to ensure that the set parameter range is valid, thereby achieving the purpose of the first plant factory. Clear screening to accurately target the target first plant.
  • the parameter information includes: planting parameter information, growth parameter information, and cost parameter information
  • the growth parameter information includes: yield information, taste information, phase information, and growth cycle information
  • preset evaluation Dimensions include: yield, taste, appearance, cost, and growth cycle.
  • the parameter information in the whole growth cycle of the crop uploaded by the first plant factory to the server includes but is not limited to: planting parameter information, such as environmental parameter information, fertilizer parameter information, etc.; growth parameter information, such as yield information, taste Information, quality information and growth cycle information; and cost parameter information, the more detailed the parameter information, the more favorable it is to monitor and manage the crop; further, the preset evaluation dimension for classifying and managing the above parameter information of the crop includes Not limited to: yield, taste, appearance, cost and growth cycle, different preset evaluation dimensions can be adapted for different crops.
  • Figure 5 shows a schematic block diagram of a server in accordance with an embodiment of the present invention.
  • the server 50 includes the planting parameter setting device 30 described in the above embodiment. Therefore, the server 50 has all the beneficial effects of the planting parameter setting device 30, and is no longer Narration.
  • Fig. 6 shows a schematic block diagram of a computer device of a first embodiment of the invention.
  • a computer device 60 includes a processor 602 and a memory 604, wherein the memory 604 stores a computer program executable on the processor 602, wherein the memory 604 and the processor Between 602 may be connected by a bus, and the processor 602 is configured to implement the steps of the planting parameter setting method described in the above embodiments when executing the computer program stored in the memory 604.
  • planting parameter setting device and the unit in the computer device of the embodiment of the present invention can be combined, divided, and deleted according to actual needs.
  • a computer readable storage medium having stored thereon a computer program, the computer program being executed by a processor to implement the steps of the planting parameter setting method described in the above embodiments.
  • any process or method description described in the flowcharts or otherwise described herein can be understood to represent an executable instruction that includes one or more steps for implementing a particular logical function or process. Modules, segments or portions of code, and the scope of preferred embodiments of the invention includes additional implementations, which may not be in the order shown or discussed, including in a substantially simultaneous manner or vice versa depending on the functionality involved. The functions are performed in order, which should be understood by those skilled in the art to which the embodiments of the present invention pertain.
  • a "computer-readable medium” can be any apparatus that can contain, store, communicate, propagate, or transport a program for use in an instruction execution system, apparatus, or device, or in conjunction with such an instruction execution system, apparatus, or device.
  • computer readable media include the following: electrical connections (electronic devices) having one or more wires, portable computer disk cartridges (magnetic devices), random access memory (RAM), Read only memory (ROM), erasable editable read only memory (EPROM or flash memory), fiber optic devices, and portable compact disk read only memory (CDROM).
  • the computer readable medium may even be a paper or other suitable medium on which the program can be printed, as it may be optically scanned, for example by paper or other medium, followed by editing, interpretation or, if appropriate, other suitable The method is processed to obtain the program electronically and then stored in computer memory.
  • portions of the invention may be implemented in hardware, software, firmware or a combination thereof.
  • multiple steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system.
  • a suitable instruction execution system For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or combination of the following techniques well known in the art: having logic gates for implementing logic functions on data signals. Discrete logic circuits, application specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.
  • each functional unit in each embodiment of the present invention may be integrated into one processing module, or each unit may exist physically separately, or two or more units may be integrated into one module.
  • the above integrated modules can be implemented in the form of hardware or in the form of software functional modules.
  • the integrated modules, if implemented in the form of software functional modules and sold or used as separate products, may also be stored in a computer readable storage medium.
  • the above mentioned computer device may be a server or the like, and the above-mentioned storage medium may be a read only memory, a magnetic disk or an optical disk or the like.
  • FIG. 7 is a schematic flowchart diagram of a planting parameter setting method for a user terminal according to an embodiment of the present invention.
  • the method for setting a planting parameter for a user terminal specifically includes the following process steps:
  • Step 702 Send a query keyword corresponding to the target crop to be planted to the server.
  • Step 704 The receiving server selects a preset evaluation dimension that matches the target crop according to the query key feedback.
  • Step 706 Generate a parameter screening rule based on the preset evaluation dimension according to the user operation instruction.
  • Step 708 the parameter screening rule is sent to the server for acquiring the target planting parameter for the target crop uploaded by the first plant factory stored in the server.
  • step 710 the target planting parameter is received, and the second plant factory is parameterized according to the target planting parameter.
  • the program for acquiring the target planting parameter can be started by sending a query keyword (such as a crop name, a variety code, etc.) corresponding to the target crop to the server.
  • a query keyword such as a crop name, a variety code, etc.
  • the server when receiving a preset evaluation dimension that is matched by the server based on the query keyword feedback and matching the target crop, generating, by the user operation instruction, the uploading by the first plant factory for acquiring the storage in the server according to the preset evaluation dimension.
  • the first plant factory may be a large plant factory and the second plant factory may be a home micro plant factory.
  • the step 706 is specifically performed by: selecting a target evaluation dimension in a preset evaluation dimension according to a user operation instruction, and prioritizing the target evaluation dimension; and/or according to a user operation instruction. Select the target evaluation dimension and set the parameter value range of the target evaluation dimension in the preset evaluation dimension, and prioritize the target evaluation dimension.
  • the target evaluation dimension selected from the preset evaluation dimension may be used as a parameter screening rule, so that the server selects the target first plant factory according to the priority ranking of the target evaluation dimension, and then filters out the applicable.
  • the target planting parameters of the target crop, and/or the parameter value range of the target evaluation dimension selected from the preset evaluation dimension may also be set as a parameter screening rule to screen the first plant factory based on the quantitative standard and then screen Target planting parameters applicable to the target crop.
  • the parameter value range of the target evaluation dimension may be specifically set based on the target parameter information corresponding to the target evaluation dimension stored in the server, so as to ensure that the set parameter range is valid, thereby achieving the purpose of the first plant factory. Clear screening to accurately target the target first plant.
  • the parameter information includes, but is not limited to, planting parameter information, such as environmental parameter information, fertilizer parameter information, and the like; growth parameter information, such as yield information, taste information, phase information, and growth cycle information; And the cost parameter information, the more detailed the parameter information is, the more favorable it is to monitor and manage the crop; further, the preset evaluation dimension includes but is not limited to: yield, taste, appearance, cost and growth cycle, and can be adapted to different crops. With different preset evaluation dimensions.
  • Fig. 8 is a schematic block diagram showing a planting parameter setting device for a user terminal according to an embodiment of the present invention.
  • the planting parameter setting device 80 for a user terminal specifically includes: a query module 802, a receiving module 804, a generating module 806, a sending module 808, and a setting module 810.
  • the query module 802 is configured to send a query keyword corresponding to the target crop to be planted to the server; the receiving module 804 is configured to receive a preset evaluation dimension that matches the target crop according to the query key feedback; and the generating module 806 is configured to use
  • the user operation instruction generates a parameter screening rule based on the preset evaluation dimension; the sending module 808 is configured to send the parameter screening rule to the server, for acquiring the target planting parameter applicable to the target crop uploaded by the first plant factory stored in the server.
  • the setting module 810 is configured to receive the target planting parameter and parameterize the second plant factory according to the target planting parameter.
  • the program for acquiring the target planting parameter can be started by sending a query keyword (such as a crop name, a variety code, etc.) corresponding to the target crop to the server.
  • a query keyword such as a crop name, a variety code, etc.
  • the server when receiving a preset evaluation dimension that is matched by the server based on the query keyword feedback and matching the target crop, generating, by the user operation instruction, the uploading by the first plant factory for acquiring the storage in the server according to the preset evaluation dimension.
  • the first plant factory may be a large plant factory and the second plant factory may be a home micro plant factory.
  • the generating module 806 is specifically configured to: select a target evaluation dimension in a preset evaluation dimension according to a user operation instruction, and prioritize the target evaluation dimension; and/or according to a user operation instruction. Select the target evaluation dimension from the preset evaluation dimension and set the parameter value range of the target evaluation dimension, and prioritize the target evaluation dimension.
  • the target evaluation dimension selected from the preset evaluation dimension may be used as a parameter screening rule, so that the server selects the target first plant factory according to the priority ranking of the target evaluation dimension, and then filters out the applicable.
  • the target planting parameters of the target crop, and/or the parameter value range of the target evaluation dimension selected from the preset evaluation dimension may also be set as a parameter screening rule to screen the first plant factory based on the quantitative standard and then screen Target planting parameters applicable to the target crop.
  • the parameter value range of the target evaluation dimension may be specifically set based on the target parameter information corresponding to the target evaluation dimension stored in the server, so as to ensure that the set parameter range is valid, thereby achieving the purpose of the first plant factory. Clear screening to accurately target the target first plant.
  • the parameter information includes, but is not limited to, planting parameter information, such as environmental parameter information, fertilizer parameter information, and the like; growth parameter information, such as yield information, taste information, phase information, and growth cycle information; And the cost parameter information, the more detailed the parameter information is, the more favorable it is to monitor and manage the crop; further, the preset evaluation dimension includes but is not limited to: yield, taste, appearance, cost and growth cycle, and can be adapted to different crops. With different preset evaluation dimensions.
  • FIG. 9 shows a schematic block diagram of a user terminal according to an embodiment of the present invention.
  • the user terminal 90 includes the planting parameter setting device 80 described in the above embodiment. Therefore, the user terminal 90 has all the beneficial effects of the planting parameter setting device 80. Let me repeat.
  • Figure 10 is a schematic block diagram of a computer device in accordance with a second embodiment of the present invention.
  • a computer device 100 includes a processor 1002 and a memory 1004, wherein the memory 1004 stores a computer program executable on the processor 1002, wherein the memory 1004 and the processor
  • the steps of the planting parameter setting method described in the above embodiments may be implemented by a bus connection between the processors 1002 for executing the computer program stored in the memory 1004.
  • planting parameter setting device and the unit in the computer device of the embodiment of the present invention can be combined, divided, and deleted according to actual needs.
  • a computer readable storage medium having stored thereon a computer program, the computer program being executed by a processor to implement the steps of the planting parameter setting method described in the above embodiments.
  • any process or method description described in the flowcharts or otherwise described herein can be understood to represent an executable instruction that includes one or more steps for implementing a particular logical function or process. Modules, segments or portions of code, and the scope of preferred embodiments of the invention includes additional implementations, which may not be in the order shown or discussed, including in a substantially simultaneous manner or vice versa depending on the functionality involved. The functions are performed in order, which should be understood by those skilled in the art to which the embodiments of the present invention pertain.
  • a "computer-readable medium” can be any apparatus that can contain, store, communicate, propagate, or transport a program for use in an instruction execution system, apparatus, or device, or in conjunction with such an instruction execution system, apparatus, or device.
  • computer readable media include the following: electrical connections (electronic devices) having one or more wires, portable computer disk cartridges (magnetic devices), random access memory (RAM), Read only memory (ROM), erasable editable read only memory (EPROM or flash memory), fiber optic devices, and portable compact disk read only memory (CDROM).
  • the computer readable medium may even be a paper or other suitable medium on which the program can be printed, as it may be optically scanned, for example by paper or other medium, followed by editing, interpretation or, if appropriate, other suitable The method is processed to obtain the program electronically and then stored in computer memory.
  • portions of the invention may be implemented in hardware, software, firmware or a combination thereof.
  • multiple steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system.
  • a suitable instruction execution system For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or combination of the following techniques well known in the art: having logic gates for implementing logic functions on data signals. Discrete logic circuits, application specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.
  • each functional unit in each embodiment of the present invention may be integrated into one processing module, or each unit may exist physically separately, or two or more units may be integrated into one module.
  • the above integrated modules can be implemented in the form of hardware or in the form of software functional modules.
  • the integrated modules, if implemented in the form of software functional modules and sold or used as separate products, may also be stored in a computer readable storage medium.
  • the above mentioned computer device may be a user terminal or the like, and the above-mentioned storage medium may be a read only memory, a magnetic disk or an optical disk or the like.
  • a planting parameter setting system including the server 50 described in the above embodiment and the user terminal 90 described in the above embodiment.
  • the server 50 is configured to receive and store crop parameter information uploaded by the first plant factory, and the user terminal 90 corresponds to a second plant factory to be synchronized with the target first plant factory.
  • the first plant factory records parameter information in the whole growth cycle of various crops, including: planting parameter information, growth data information (ie, growth parameter information such as yield, appearance, taste, etc.), cost parameter information, etc., and They are associated with the crops and uploaded to the server 50.
  • the server 50 processes the growth data information, the cost parameter information, and the like, extracts keyword information (corresponding to the preset evaluation dimension), and performs classified storage and sorting.
  • the server 50 is queried by the user terminal 90, and the server 50 pushes the keyword information and the corresponding parameter value information, and the user inputs the keyword and the corresponding assignment to determine the planting parameter information including the environment data information corresponding to the target crop.
  • the server 50 obtains growth data information, cost parameter information, and the like of the lettuce in the four first plant factories, and extracts keywords from the above information: yield, taste, cost, and appearance (keywords) It can also be called the evaluation dimension, which can be different based on the crop type.
  • the quantitative criteria for the value of each parameter information include text and numbers.
  • the unit yield, taste, unit cost and appearance are specifically used in the table below. The user can also set the unit yield to the average output and so on.
  • the server 50 When the user wants to grow the milk cabbage in the second plant factory, input the keyword of the milk cabbage at the user terminal 90 or select the selection button of the milk cabbage on the screen of the user terminal 90 to be sent to the server 50, the server 50 will The user terminal 90 pushes keywords in the process of planting the milk cabbage, such as: yield, taste, cost, and appearance, and the user selects the index: if only the mouthfeel is considered, the mouthfeel is fed back to the server 50 as the target keyword, and then the server 50 The planting parameter information with the best taste is pushed to the user terminal 90 for parameter setting such as growth environment data; if the yield is high, the mouthfeel is excellent/good, and the cost is low, the above sorting and value are fed back to the server 50, and the server 50 The user terminal 90 pushes the planting parameter information corresponding to the target first plant factory defined by the user selection index to perform parameter setting such as growth environment data, that is, the user can select the keyword index at the user terminal 90, and set the priority order and/or Or a corresponding threshold
  • the server 50 may be based on The value corresponding to each stored keyword index automatically determines the available threshold range of the keyword index after the priority to ensure more accurate positioning to the target first plant factory, thereby obtaining the optimal target crop planting. Parameter information.
  • the optimal planting parameters synchronization between plant plants can be realized, and the user can quickly configure the planting parameters of the plant factory to enhance the planting experience of the user.

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Abstract

本发明提供了一种种植参数设置方法，包括：接收第一植物工厂上传的作物全生长周期内的参数信息；提取每种作物的参数信息中与预设评价维度匹配的目标参数信息；接收第二植物工厂关联的用户终端发来的与目标作物对应的查询关键词，并将与查询关键词对应的预设评价维度发送至用户终端；根据目标参数信息和用户终端基于预设评价维度生成的参数筛选规则获取目标作物的目标种植参数；将目标种植参数发送至用户终端，以用于对第二植物工厂进行参数设置。相应地还提出了种植参数设置装置。通过本发明的技术方案，可以实现植物工厂间最优的种植参数的同步，便于用户快速配置植物工厂的种植参数，以提升用户的种植体验。

Description

种植参数设置方法及种植参数设置装置
本申请要求2017年10月31日在中国国家知识产权局提交的申请号为201711048456.5、发明名称为“种植参数设置方法及种植参数设置装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本发明涉及智能种植技术领域，具体而言，涉及种植参数设置方法和种植参数设置装置。
背景技术
植物工厂是通过设施内高精度环境控制实现农作物周年连续生产的系统，即利用计算机对植物生长的温度、湿度、光照、二氧化碳浓度以及营养液等环境条件进行自动控制，使设施内植物生长不受或很少受自然条件制约的省力型生产。
目前现有的基于植物工厂的同步化种植系统，包括通过云端服务器连接的第一植物工厂和第二植物工厂，云端服务器接收并同步第一植物工厂与第二植物工厂的生长环境数据，一般地，第一植物工厂为家庭微型植物工厂，第二植物工厂为基地大型植物工厂，即通过云端服务器将家庭微型植物工厂和基地大规模植物工厂进行生长环境同步，从而让用户能够在家里体会到种植的乐趣并满足家庭日常蔬菜水果的需求。
具体地，植物工厂提供了封闭式的可控种植环境，无论是大型植物工厂还是家庭微型植物工厂都需要在封闭环境下进行作物种植。随着绿色、有机生活理念的盛行，家庭微型植物工厂走入了部分家庭，但由于植物工厂需要对作物的生长环境进行全方位的控制，很多用户受限于缺乏专业的种植知识，一方面只能根据种植说明种植有限种类的蔬菜，另一方面由于控制不当会导致种植失败，总之，用户种植体验不佳。
因此，如何使家庭植物工厂能够获取到最优的种植参数进行同步，提升用户的种植体验成为亟待解决的技术问题。
发明内容
本发明正是基于上述技术问题至少之一，提供了一种新的种植参数设置方案，可以实现植物工厂间最优的种植参数的同步，便于用户快速配置植物工厂的种植参数，以提升用户的种植体验。
有鉴于此，根据本发明第一方面的技术方案，提出了一种种植参数设置方法，用于服务器，包括：接收第一植物工厂上传的作物全生长周期内的参数信息；提取每种作物的参数信息中与预设评价维度匹配的目标参数信息；接收第二植物工厂关联的用户终端发来的与目标作物对应的查询关键词，并将与查询关键词对应的预设评价维度发送至用户终端；根据目标参数信息和用户终端基于预设评价维度生成的参数筛选规则获取目标作物的目标种植参数；将目标种植参数发送至用户终端，以用于对第二植物工厂进行参数设置。
在该技术方案中，存储第一植物工厂上传至服务器的其种植的作物全生长周期内的参数信息并基于预设评价维度对其进行分类处理，具体针对每种作物，提取该全生长周期内的参数信息中与预设评价维度匹配的目标参数信息，并在接收到用户终端发来的用于获取目标作物的目标种植参数的查询关键词时，向用户终端推送相关的预设评价维度以供用户终端生成用于选择该目标种植参数的参数筛选规则，进而基于该参数筛选规则以及预设评价维度对应的目标参数信息进行目标种植参数的获取，以供用户根据该基于预设评价维度进行分类处理以及结合第二植物工厂的用户的种植需求获取到的目标种植参数对第二植物工厂进行种植参数设置，如此，可以基于服务器实现不同的植物工厂间最优的种植参数的同步，便于用户快速配置植物工厂的种植参数，从而提升用户的种植体验。
进一步优选地，第一植物工厂可以为大型植物工厂，第二植物工厂可以为家庭微型植物工厂。
在上述技术方案中，优选地，根据目标参数信息和用户基于预设评价 维度生成的参数筛选规则获取目标作物的目标种植参数的步骤包括：对于预设评价维度中的每个评价维度，将第一植物工厂按照每个评价维度对应的目标参数信息进行排序；根据参数筛选规则中包含的目标评价维度的优先级排序和/或目标评价维度对应的参数取值范围在完成排序的第一植物工厂中选定目标第一植物工厂；将目标第一植物工厂上传的与目标作物对应的参数信息中的种植参数作为目标种植参数。
在该技术方案中，具体可以基于预设评价维度中的每个评价维度对应的目标参数信息对第一植物工厂进行优先级排序，进而依据用户终端发来的参数筛选规则中用户设定的目标评价维度的优先级排序和/或针对目标评价维度对应设置的参数取值范围在完成优先级排序的第一植物工厂中选定目标第一植物工厂，即充分结合用户在用于对第一植物工厂上传的参数信息进行分类处理的预设评价维度中选择的目标评价维度以及用户期望达到的目标评价维度对应的参数取值范围选择用于与第二植物工厂进行种植参数同步的目标第一植物工厂，进而将目标第一植物工厂上传的适用于目标作物(即与查询关键词匹配)的种植参数作为目标种植参数反馈至用户终端，即将适用于目标作物且符合用户期望的最优的种植参数同步至第二植物工厂，以便于用户实现一键种植参数设定，快速高效。
其中，目标评价维度的参数取值范围具体可以基于服务器中存储的与目标评价维度对应的目标参数信息设置而成，以确保设置的参数取值范围有效，进而实现对第一植物工厂目的性更加明确的筛选，以准确定位到目标第一植物工厂。
在上述任一技术方案中，优选地，参数信息包括：种植参数信息、生长参数信息和成本参数信息，其中，生长参数信息包括：产量信息、口感信息、品相信息和生长周期信息；以及预设评价维度包括：产量、口感、品相、成本和生长周期。
在该技术方案中，第一植物工厂上传至服务器的作物全生长周期内的参数信息包括但不限于：种植参数信息，比如环境参数信息、肥料参数信息等；生长参数信息，比如产量信息、口感信息、品相信息和生长周期信息等；以及成本参数信息，参数信息越详细越利于对作物进行监控和管理； 进一步地，用于对作物的上述参数信息进行分类管理的预设评价维度包括但不限于：产量、口感、品相、成本和生长周期，针对不同的作物可以适配不同的预设评价维度。
根据本发明第二方面的技术方案，提出了一种种植参数设置装置，用于服务器，包括：接收模块，用于接收第一植物工厂上传的作物全生长周期内的参数信息；提取模块，用于提取每种作物的参数信息中与预设评价维度匹配的目标参数信息；处理模块，用于接收第二植物工厂关联的用户终端发来的与目标作物对应的查询关键词，并将与查询关键词对应的预设评价维度发送至用户终端；获取模块，用于根据目标参数信息和用户终端基于预设评价维度生成的参数筛选规则获取目标作物的目标种植参数；发送模块，用于将目标种植参数发送至用户终端，以用于对第二植物工厂进行参数设置。
在该技术方案中，存储第一植物工厂上传至服务器的其种植的作物全生长周期内的参数信息并基于预设评价维度对其进行分类处理，具体针对每种作物，提取该全生长周期内的参数信息中与预设评价维度匹配的目标参数信息，并在接收到用户终端发来的用于获取目标作物的目标种植参数的查询关键词时，向用户终端推送相关的预设评价维度以供用户终端生成用于选择该目标种植参数的参数筛选规则，进而基于该参数筛选规则以及预设评价维度对应的目标参数信息进行目标种植参数的获取，以供用户根据该基于预设评价维度进行分类处理以及结合第二植物工厂的用户的种植需求获取到的目标种植参数对第二植物工厂进行种植参数设置，如此，可以基于服务器实现不同的植物工厂间最优的种植参数的同步，便于用户快速配置植物工厂的种植参数，从而提升用户的种植体验。
进一步优选地，第一植物工厂可以为大型植物工厂，第二植物工厂可以为家庭微型植物工厂。
在上述技术方案中，优选地，获取模块具体包括：排序子模块，用于对于预设评价维度中的每个评价维度，将第一植物工厂按照每个评价维度对应的目标参数信息进行排序；筛选子模块，用于根据参数筛选规则中包含的目标评价维度的优先级排序和/或目标评价维度对应的参数取值范围 在完成排序的第一植物工厂中选定目标第一植物工厂；确定子模块，用于将目标第一植物工厂上传的与目标作物对应的参数信息中的种植参数作为目标种植参数。
在该技术方案中，具体可以基于预设评价维度中的每个评价维度对应的目标参数信息对第一植物工厂进行优先级排序，进而依据用户终端发来的参数筛选规则中用户设定的目标评价维度的优先级排序和/或针对目标评价维度对应设置的参数取值范围在完成优先级排序的第一植物工厂中选定目标第一植物工厂，即充分结合用户在用于对第一植物工厂上传的参数信息进行分类处理的预设评价维度中选择的目标评价维度以及用户期望达到的目标评价维度对应的参数取值范围选择用于与第二植物工厂进行种植参数同步的目标第一植物工厂，进而将目标第一植物工厂上传的适用于目标作物(即与查询关键词匹配)的种植参数作为目标种植参数反馈至用户终端，即将适用于目标作物且符合用户期望的最优的种植参数同步至第二植物工厂，以便于用户实现一键种植参数设定，快速高效。
其中，目标评价维度的参数取值范围具体可以基于服务器中存储的与目标评价维度对应的目标参数信息设置而成，以确保设置的参数取值范围有效，进而实现对第一植物工厂目的性更加明确的筛选，以准确定位到目标第一植物工厂。
在上述任一技术方案中，优选地，参数信息包括：种植参数信息、生长参数信息和成本参数信息，其中，生长参数信息包括：产量信息、口感信息、品相信息和生长周期信息；以及预设评价维度包括：产量、口感、品相、成本和生长周期。
在该技术方案中，第一植物工厂上传至服务器的作物全生长周期内的参数信息包括但不限于：种植参数信息，比如环境参数信息、肥料参数信息等；生长参数信息，比如产量信息、口感信息、品相信息和生长周期信息等；以及成本参数信息，参数信息越详细越利于对作物进行监控和管理；进一步地，用于对作物的上述参数信息进行分类管理的预设评价维度包括但不限于：产量、口感、品相、成本和生长周期，针对不同的作物可以适配不同的预设评价维度。
根据本发明第三方面的技术方案，提出了一种服务器，包括上述技术方案中任一项所述的种植参数设置装置，因此，该服务器具有该种植参数设置装置所有的有益效果，在此不再赘述。
根据本发明第四方面的技术方案，提出了一种计算机设备，包括：处理器；用于储存处理器可执行指令的存储器，其中，处理器用于执行存储器中储存的可执行指令时实现如上述第一方面的技术方案中任一项所述的种植参数设置方法的步骤。
根据本发明第五方面的技术方案，提出了一种计算机可读存储介质，其上存储有计算机程序，计算机程序被处理器执行时实现如上述第一方面的技术方案中任一项所述的种植参数设置方法的步骤。
根据本发明第六方面的技术方案，提出了一种种植参数设置方法，用于用户终端，包括：向服务器发送与待种植的目标作物对应的查询关键词；接收服务器根据查询关键反馈的与目标作物匹配的预设评价维度；根据用户操作指令基于预设评价维度生成参数筛选规则；将参数筛选规则发送至服务器，以用于获取服务器中存储的由第一植物工厂所上传的适用于目标作物的目标种植参数；接收目标种植参数，并根据目标种植参数对第二植物工厂进行参数设置。
在该技术方案中，当用户想在第二植物工厂中培育目标作物时，可以通过向服务器发送与目标作物对应的查询关键词(比如作物名称、品种代号等)启动对目标种植参数的获取程序，具体地当接收到服务器基于查询关键词反馈的与该目标作物匹配的预设评价维度时，根据用户操作指令基于该预设评价维度生成用于获取服务器中存储的由第一植物工厂上传的适用于目标作物的目标种植参数的参数筛选规则，并进一步基于预设评价维度进行分类处理以及结合第二植物工厂的用户的种植需求获取到的目标种植参数对第二植物工厂进行种植参数设置，如此，可以基于服务器实现不同的植物工厂间最优的种植参数的同步，便于用户快速配置植物工厂的种植参数，从而提升用户的种植体验。
进一步优选地，第一植物工厂可以为大型植物工厂，第二植物工厂可以为家庭微型植物工厂。
在上述技术方案中，优选地，根据用户操作指令基于预设评价维度生成参数筛选规则的步骤包括：根据用户操作指令在预设评价维度中选出目标评价维度，并对目标评价维度进行优先级排序；和/或根据用户操作指令在预设评价维度中选出目标评价维度以及设置目标评价维度的参数取值范围，并对目标评价维度进行优先级排序。
在该技术方案中，可以将选自预设评价维度的进行优先级排序的目标评价维度作为参数筛选规则，以使服务器按照目标评价维度的优先级排序筛选出目标第一植物工厂进而筛选出适用于目标作物的目标种植参数，和/或也可以设置选自预设评价维度的进行优先级排序的目标评价维度的参数取值范围作为参数筛选规则，以基于量化标准筛选第一植物工厂进而筛选出适用于目标作物的目标种植参数。
其中，目标评价维度的参数取值范围具体可以基于服务器中存储的与目标评价维度对应的目标参数信息设置而成，以确保设置的参数取值范围有效，进而实现对第一植物工厂目的性更加明确的筛选，以准确定位到目标第一植物工厂。
根据本发明第七方面的技术方案，提出了一种种植参数设置装置，用于用户终端，包括：查询模块，用于向服务器发送与待种植的目标作物对应的查询关键词；接收模块，用于接收服务器根据查询关键反馈的与目标作物匹配的预设评价维度；生成模块，用于根据用户操作指令基于预设评价维度生成参数筛选规则；发送模块，用于将参数筛选规则发送至服务器，以用于获取服务器中存储的由第一植物工厂所上传的适用于目标作物的目标种植参数；设置模块，用于接收目标种植参数，并根据目标种植参数对第二植物工厂进行参数设置。
在该技术方案中，当用户想在第二植物工厂中培育目标作物时，可以通过向服务器发送与目标作物对应的查询关键词(比如作物名称、品种代号等)启动对目标种植参数的获取程序，具体地当接收到服务器基于查询关键词反馈的与该目标作物匹配的预设评价维度时，根据用户操作指令基于该预设评价维度生成用于获取服务器中存储的由第一植物工厂上传的适用于目标作物的目标种植参数的参数筛选规则，并进一步基于预设评价维 度进行分类处理以及结合第二植物工厂的用户的种植需求获取到的目标种植参数对第二植物工厂进行种植参数设置，如此，可以基于服务器实现不同的植物工厂间最优的种植参数的同步，便于用户快速配置植物工厂的种植参数，从而提升用户的种植体验。
进一步优选地，第一植物工厂可以为大型植物工厂，第二植物工厂可以为家庭微型植物工厂。
在上述技术方案中，生成模块具体用于：根据用户操作指令在预设评价维度中选出目标评价维度，并对目标评价维度进行优先级排序；和/或根据用户操作指令在预设评价维度中选出目标评价维度以及设置目标评价维度的参数取值范围，并对目标评价维度进行优先级排序。
在该技术方案中，可以将选自预设评价维度的进行优先级排序的目标评价维度作为参数筛选规则，以使服务器按照目标评价维度的优先级排序筛选出目标第一植物工厂进而筛选出适用于目标作物的目标种植参数，和/或也可以设置选自预设评价维度的进行优先级排序的目标评价维度的参数取值范围作为参数筛选规则，以基于量化标准筛选第一植物工厂进而筛选出适用于目标作物的目标种植参数。
其中，目标评价维度的参数取值范围具体可以基于服务器中存储的与目标评价维度对应的目标参数信息设置而成，以确保设置的参数取值范围有效，进而实现对第一植物工厂目的性更加明确的筛选，以准确定位到目标第一植物工厂。
根据本发明第八方面的技术方案，提出了一种用户终端，包括上述技术方案中任一项所述的种植参数设置装置，因此，该用户终端具有该种植参数设置装置所有的有益效果，在此不再赘述。
根据本发明第九方面的技术方案，提出了一种计算机设备，包括：处理器；用于储存处理器可执行指令的存储器，其中，处理器用于执行存储器中储存的可执行指令时实现如上述第六方面的技术方案中任一项所述的种植参数设置方法的步骤。
根据本发明第十方面的技术方案，提出了一种计算机可读存储介质，其上存储有计算机程序，计算机程序被处理器执行时实现如上述第六方面 的技术方案中任一项所述的种植参数设置方法的步骤。
根据本发明第十一方面的技术方案，提出了一种种植参数设置系统，包括上述第三方面的技术方案中所述的服务器和上述第八方面的技术方案中所述的用户终端。
通过本发明的技术方案，可以实现植物工厂间最优的种植参数的同步，便于用户快速配置植物工厂的种植参数，以提升用户的种植体验。
附图说明
本发明的上述和/或附加的方面和优点从结合下面附图对实施例的描述中将变得明显和容易理解，其中：
图1示出了本发明实施例的用于服务器的种植参数设置方法的流程示意图；
图2示出了本发明实施例的根据参数筛选规则获取目标种植参数的方法流程示意图；
图3示出了本发明实施例的用于服务器的种植参数设置装置的示意框图；
图4示出了图3所示的获取模块的示意框图；
图5示出了本发明实施例的服务器的示意框图；
图6示出了本发明第一实施例的计算机设备的示意框图；
图7示出了本发明实施例的用于用户终端的种植参数设置方法的流程示意图；
图8示出了本发明实施例的用于用户终端的种植参数设置装置的示意框图；
图9示出了本发明实施例的用户终端的示意框图；
图10示出了本发明第二实施例的计算机设备的示意框图。
具体实施方式
为了能够更清楚地理解本发明的上述目的、特征和优点，下面结合附图和具体实施方式对本发明进行进一步的详细描述。需要说明的是，在不 冲突的情况下，本申请的实施例及实施例中的特征可以相互组合。
在下面的描述中阐述了很多具体细节以便于充分理解本发明，但是，本发明还可以采用其他不同于在此描述的其他方式来实施，因此，本发明的保护范围并不受下面公开的具体实施例的限制。
图1示出了本发明实施例的用于服务器的种植参数设置方法的流程示意图。
如图1所示，根据本发明实施例的用于服务器的种植参数设置方法，具体包括以下流程步骤：
步骤102，接收第一植物工厂上传的作物全生长周期内的参数信息。
可以理解的是，第一植物工厂上传至服务器的作物全生长周期内的参数信息包括但不限于：种植参数信息，比如环境参数信息、肥料参数信息等；生长参数信息，比如产量信息、口感信息、品相信息和生长周期信息等；以及成本参数信息，参数信息越详细越利于对作物进行监控和管理。
步骤104，提取每种作物的参数信息中与预设评价维度匹配的目标参数信息。
可以理解的是，用于对作物的上述参数信息进行分类管理的预设评价维度包括但不限于：产量、口感、品相、成本和生长周期，针对不同的作物可以适配不同的预设评价维度。
步骤106，接收第二植物工厂关联的用户终端发来的与目标作物对应的查询关键词，并将与查询关键词对应的预设评价维度发送至用户终端。
步骤108，根据目标参数信息和用户终端基于预设评价维度生成的参数筛选规则获取目标作物的目标种植参数。
步骤110，将目标种植参数发送至用户终端，以用于对第二植物工厂进行参数设置。
进一步优选地，第一植物工厂可以为大型植物工厂，第二植物工厂可以为家庭微型植物工厂。
在该实施例中，存储第一植物工厂上传至服务器的其种植的作物全生长周期内的参数信息并基于预设评价维度对其进行分类处理，具体针对每种作物，提取该全生长周期内的参数信息中与预设评价维度匹配的目标参 数信息，并在接收到用户终端发来的用于获取目标作物的目标种植参数的查询关键词时，向用户终端推送相关的预设评价维度以供用户终端生成用于选择该目标种植参数的参数筛选规则，进而基于该参数筛选规则以及预设评价维度对应的目标参数信息进行目标种植参数的获取，以供用户根据该基于预设评价维度进行分类处理以及结合第二植物工厂的用户的种植需求获取到的目标种植参数对第二植物工厂进行种植参数设置，如此，可以基于服务器实现不同的植物工厂间最优的种植参数的同步，便于用户快速配置植物工厂的种植参数，从而提升用户的种植体验。
进一步地，对于上述步骤108，具体可以执行为如图2所示的方法步骤，包括：
步骤1082，对于预设评价维度中的每个评价维度，将第一植物工厂按照每个评价维度对应的目标参数信息进行排序。
步骤1084，根据参数筛选规则中包含的目标评价维度的优先级排序和/或目标评价维度对应的参数取值范围在完成排序的第一植物工厂中选定目标第一植物工厂。
步骤1086，将目标第一植物工厂上传的与目标作物对应的参数信息中的种植参数作为目标种植参数。
在该实施例中，具体可以基于预设评价维度中的每个评价维度对应的目标参数信息对第一植物工厂进行优先级排序，进而依据用户终端发来的参数筛选规则中用户设定的目标评价维度的优先级排序和/或针对目标评价维度对应设置的参数取值范围在完成优先级排序的第一植物工厂中选定目标第一植物工厂，即充分结合用户在用于对第一植物工厂上传的参数信息进行分类处理的预设评价维度中选择的目标评价维度以及用户期望达到的目标评价维度对应的参数取值范围选择用于与第二植物工厂进行种植参数同步的目标第一植物工厂，进而将目标第一植物工厂上传的适用于目标作物(即与查询关键词匹配)的种植参数作为目标种植参数反馈至用户终端，即将适用于目标作物且符合用户期望的最优的种植参数同步至第二植物工厂，以便于用户实现一键种植参数设定，快速高效。
其中，目标评价维度的参数取值范围具体可以基于服务器中存储的与 目标评价维度对应的目标参数信息设置而成，以确保设置的参数取值范围有效，进而实现对第一植物工厂目的性更加明确的筛选，以准确定位到目标第一植物工厂。
图3示出了本发明实施例的用于服务器的种植参数设置装置的示意框图。
如图3所示，根据本发明实施例的用于服务器的种植参数设置装置30，具体包括：接收模块302、提取模块304、处理模块306、获取模块308和发送模块310。
其中，接收模块302用于接收第一植物工厂上传的作物全生长周期内的参数信息；提取模块304用于提取每种作物的参数信息中与预设评价维度匹配的目标参数信息；处理模块306用于接收第二植物工厂关联的用户终端发来的与目标作物对应的查询关键词，并将与查询关键词对应的预设评价维度发送至用户终端；获取模块308用于根据目标参数信息和用户终端基于预设评价维度生成的参数筛选规则获取目标作物的目标种植参数；发送模块310用于将目标种植参数发送至用户终端，以用于对第二植物工厂进行参数设置。
在该实施例中，存储第一植物工厂上传至服务器的其种植的作物全生长周期内的参数信息并基于预设评价维度对其进行分类处理，具体针对每种作物，提取该全生长周期内的参数信息中与预设评价维度匹配的目标参数信息，并在接收到用户终端发来的用于获取目标作物的目标种植参数的查询关键词时，向用户终端推送相关的预设评价维度以供用户终端生成用于选择该目标种植参数的参数筛选规则，进而基于该参数筛选规则以及预设评价维度对应的目标参数信息进行目标种植参数的获取，以供用户根据该基于预设评价维度进行分类处理以及结合第二植物工厂的用户的种植需求获取到的目标种植参数对第二植物工厂进行种植参数设置，如此，可以基于服务器实现不同的植物工厂间最优的种植参数的同步，便于用户快速配置植物工厂的种植参数，从而提升用户的种植体验。
进一步优选地，第一植物工厂可以为大型植物工厂，第二植物工厂可以为家庭微型植物工厂。
进一步地，在上述实施例中，获取模块308具体包括：排序子模块3082、筛选子模块3084和确定子模块3086，如图4所示。
其中，排序子模块3082用于对于预设评价维度中的每个评价维度，将第一植物工厂按照每个评价维度对应的目标参数信息进行排序；筛选子模块3084用于根据参数筛选规则中包含的目标评价维度的优先级排序和/或目标评价维度对应的参数取值范围在完成排序的第一植物工厂中选定目标第一植物工厂；确定子模块3086用于将目标第一植物工厂上传的与目标作物对应的参数信息中的种植参数作为目标种植参数。
在该实施例中，具体可以基于预设评价维度中的每个评价维度对应的目标参数信息对第一植物工厂进行优先级排序，进而依据用户终端发来的参数筛选规则中用户设定的目标评价维度的优先级排序和/或针对目标评价维度对应设置的参数取值范围在完成优先级排序的第一植物工厂中选定目标第一植物工厂，即充分结合用户在用于对第一植物工厂上传的参数信息进行分类处理的预设评价维度中选择的目标评价维度以及用户期望达到的目标评价维度对应的参数取值范围选择用于与第二植物工厂进行种植参数同步的目标第一植物工厂，进而将目标第一植物工厂上传的适用于目标作物(即与查询关键词匹配)的种植参数作为目标种植参数反馈至用户终端，即将适用于目标作物且符合用户期望的最优的种植参数同步至第二植物工厂，以便于用户实现一键种植参数设定，快速高效。
其中，目标评价维度的参数取值范围具体可以基于服务器中存储的与目标评价维度对应的目标参数信息设置而成，以确保设置的参数取值范围有效，进而实现对第一植物工厂目的性更加明确的筛选，以准确定位到目标第一植物工厂。
进一步地，在上述实施例中，参数信息包括：种植参数信息、生长参数信息和成本参数信息，其中，生长参数信息包括：产量信息、口感信息、品相信息和生长周期信息；以及预设评价维度包括：产量、口感、品相、成本和生长周期。
在该实施例中，第一植物工厂上传至服务器的作物全生长周期内的参数信息包括但不限于：种植参数信息，比如环境参数信息、肥料参数信息 等；生长参数信息，比如产量信息、口感信息、品相信息和生长周期信息等；以及成本参数信息，参数信息越详细越利于对作物进行监控和管理；进一步地，用于对作物的上述参数信息进行分类管理的预设评价维度包括但不限于：产量、口感、品相、成本和生长周期，针对不同的作物可以适配不同的预设评价维度。
图5示出了本发明实施例的服务器的示意框图。
如图5所示，根据本发明实施例的服务器50，包括上述实施例中所述的种植参数设置装置30，因此，该服务器50具有该种植参数设置装置30所有的有益效果，在此不再赘述。
图6示出了本发明第一实施例的计算机设备的示意框图。
如图6所示，根据本发明第一实施例的计算机设备60，包括处理器602和存储器604，其中，存储器604上存储有可在处理器602上运行的计算机程序，其中存储器604和处理器602之间可以通过总线连接，该处理器602用于执行存储器604中存储的计算机程序时实现如上实施例中所述的种植参数设置方法的步骤。
本发明实施例的方法中的步骤可以根据实际需要进行顺序调整、合并和删减。
本发明实施例的种植参数设置装置和计算机设备中的单元可以根据实际需要进行合并、划分和删减。
根据本发明的实施例，提出了一种计算机可读存储介质，其上存储有计算机程序，所述计算机程序被处理器执行时实现如上实施例中所述的种植参数设置方法的步骤。
进一步地，可以理解的是，流程图中或在此以其他方式描述的任何过程或方法描述可以被理解为，表示包括一个或更多个用于实现特定逻辑功能或过程的步骤的可执行指令的代码的模块、片段或部分，并且本发明的优选实施方式的范围包括另外的实现，其中可以不按所示出或讨论的顺序，包括根据所涉及的功能按基本同时的方式或按相反的顺序，来执行功能，这应被本发明的实施例所属技术领域的技术人员所理解。
在流程图中表示或在此以其他方式描述的逻辑和/或步骤，例如，可以 被认为是用于实现逻辑功能的可执行指令的定序列表，可以具体实现在任何计算机可读介质中，以供指令执行系统、装置或设备(如基于计算机的系统、包括处理器的系统或其他可以从指令执行系统、装置或设备取指令并执行指令的系统)使用，或结合这些指令执行系统、装置或设备而使用。就本说明书而言，“计算机可读介质”可以是任何可以包含、存储、通信、传播或传输程序以供指令执行系统、装置或设备或结合这些指令执行系统、装置或设备而使用的装置。计算机可读介质的更具体的示例(非穷尽性列表)包括以下：具有一个或多个布线的电连接部(电子装置)，便携式计算机盘盒(磁装置)，随机存取存储器(RAM)，只读存储器(ROM)，可擦除可编辑只读存储器(EPROM或闪速存储器)，光纤装置，以及便携式光盘只读存储器(CDROM)。另外，计算机可读介质甚至可以是可在其上打印所述程序的纸或其他合适的介质，因为可以例如通过对纸或其他介质进行光学扫描，接着进行编辑、解译或必要时以其他合适方式进行处理来以电子方式获得所述程序，然后将其存储在计算机存储器中。
应当理解，本发明的各部分可以用硬件、软件、固件或它们的组合来实现。在上述实施方式中，多个步骤或方法可以用存储在存储器中且由合适的指令执行系统执行的软件或固件来实现。例如，如果用硬件来实现，和在另一实施方式中一样，可用本领域公知的下列技术中的任一项或他们的组合来实现：具有用于对数据信号实现逻辑功能的逻辑门电路的离散逻辑电路，具有合适的组合逻辑门电路的专用集成电路，可编程门阵列(PGA)，现场可编程门阵列(FPGA)等。
本技术领域的普通技术人员可以理解实现上述实施例方法携带的全部或部分步骤是可以通过程序来指令相关的硬件完成，所述的程序可以存储于一种计算机可读存储介质中，该程序在执行时，包括方法实施例的步骤之一或其组合。
此外，在本发明各个实施例中的各功能单元可以集成在一个处理模块中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。所述集成的模块如果以软件功能模块的形式实现 并作为独立的产品销售或使用时，也可以存储在一个计算机可读取存储介质中。
上述提到的计算机设备可以是服务器等，上述提到的存储介质可以是只读存储器，磁盘或光盘等。
图7示出了本发明实施例的用于用户终端的种植参数设置方法的流程示意图。
如图7所示，根据本发明实施例的用于用户终端的种植参数设置方法，具体包括以下流程步骤：
步骤702，向服务器发送与待种植的目标作物对应的查询关键词。
步骤704，接收服务器根据查询关键反馈的与目标作物匹配的预设评价维度。
步骤706，根据用户操作指令基于预设评价维度生成参数筛选规则。
步骤708，将参数筛选规则发送至服务器，以用于获取服务器中存储的由第一植物工厂所上传的适用于目标作物的目标种植参数。
步骤710，接收目标种植参数，并根据目标种植参数对第二植物工厂进行参数设置。
在该实施例中，当用户想在第二植物工厂中培育目标作物时，可以通过向服务器发送与目标作物对应的查询关键词(比如作物名称、品种代号等)启动对目标种植参数的获取程序，具体地当接收到服务器基于查询关键词反馈的与该目标作物匹配的预设评价维度时，根据用户操作指令基于该预设评价维度生成用于获取服务器中存储的由第一植物工厂上传的适用于目标作物的目标种植参数的参数筛选规则，并进一步基于预设评价维度进行分类处理以及结合第二植物工厂的用户的种植需求获取到的目标种植参数对第二植物工厂进行种植参数设置，如此，可以基于服务器实现不同的植物工厂间最优的种植参数的同步，便于用户快速配置植物工厂的种植参数，从而提升用户的种植体验。
进一步优选地，第一植物工厂可以为大型植物工厂，第二植物工厂可以为家庭微型植物工厂。
进一步地，在上述实施例中，所述步骤706具体执行为：根据用户操 作指令在预设评价维度中选出目标评价维度，并对目标评价维度进行优先级排序；和/或根据用户操作指令在预设评价维度中选出目标评价维度以及设置目标评价维度的参数取值范围，并对目标评价维度进行优先级排序。
在该实施例中，可以将选自预设评价维度的进行优先级排序的目标评价维度作为参数筛选规则，以使服务器按照目标评价维度的优先级排序筛选出目标第一植物工厂进而筛选出适用于目标作物的目标种植参数，和/或也可以设置选自预设评价维度的进行优先级排序的目标评价维度的参数取值范围作为参数筛选规则，以基于量化标准筛选第一植物工厂进而筛选出适用于目标作物的目标种植参数。
其中，目标评价维度的参数取值范围具体可以基于服务器中存储的与目标评价维度对应的目标参数信息设置而成，以确保设置的参数取值范围有效，进而实现对第一植物工厂目的性更加明确的筛选，以准确定位到目标第一植物工厂。
进一步地，在上述实施例中，参数信息包括但不限于：种植参数信息，比如环境参数信息、肥料参数信息等；生长参数信息，比如产量信息、口感信息、品相信息和生长周期信息等；以及成本参数信息，参数信息越详细越利于对作物进行监控和管理；进一步地，用于预设评价维度包括但不限于：产量、口感、品相、成本和生长周期，针对不同的作物可以适配不同的预设评价维度。
图8示出了本发明实施例的用于用户终端的种植参数设置装置的示意框图。
如图8所示，根据本发明实施例的用于用户终端的种植参数设置装置80，具体包括：查询模块802、接收模块804、生成模块806、发送模块808和设置模块810。
其中，查询模块802用于向服务器发送与待种植的目标作物对应的查询关键词；接收模块804用于接收服务器根据查询关键反馈的与目标作物匹配的预设评价维度；生成模块806用于根据用户操作指令基于预设评价维度生成参数筛选规则；发送模块808用于将参数筛选规则发送至服务器，以用于获取服务器中存储的由第一植物工厂所上传的适用于目标作物的目 标种植参数；设置模块810用于接收目标种植参数，并根据目标种植参数对第二植物工厂进行参数设置。
在该实施例中，当用户想在第二植物工厂中培育目标作物时，可以通过向服务器发送与目标作物对应的查询关键词(比如作物名称、品种代号等)启动对目标种植参数的获取程序，具体地当接收到服务器基于查询关键词反馈的与该目标作物匹配的预设评价维度时，根据用户操作指令基于该预设评价维度生成用于获取服务器中存储的由第一植物工厂上传的适用于目标作物的目标种植参数的参数筛选规则，并进一步基于预设评价维度进行分类处理以及结合第二植物工厂的用户的种植需求获取到的目标种植参数对第二植物工厂进行种植参数设置，如此，可以基于服务器实现不同的植物工厂间最优的种植参数的同步，便于用户快速配置植物工厂的种植参数，从而提升用户的种植体验。
进一步优选地，第一植物工厂可以为大型植物工厂，第二植物工厂可以为家庭微型植物工厂。
进一步地，在上述实施例中，生成模块806具体用于：根据用户操作指令在预设评价维度中选出目标评价维度，并对目标评价维度进行优先级排序；和/或根据用户操作指令在预设评价维度中选出目标评价维度以及设置目标评价维度的参数取值范围，并对目标评价维度进行优先级排序。
在该实施例中，可以将选自预设评价维度的进行优先级排序的目标评价维度作为参数筛选规则，以使服务器按照目标评价维度的优先级排序筛选出目标第一植物工厂进而筛选出适用于目标作物的目标种植参数，和/或也可以设置选自预设评价维度的进行优先级排序的目标评价维度的参数取值范围作为参数筛选规则，以基于量化标准筛选第一植物工厂进而筛选出适用于目标作物的目标种植参数。
其中，目标评价维度的参数取值范围具体可以基于服务器中存储的与目标评价维度对应的目标参数信息设置而成，以确保设置的参数取值范围有效，进而实现对第一植物工厂目的性更加明确的筛选，以准确定位到目标第一植物工厂。
进一步地，在上述实施例中，参数信息包括但不限于：种植参数信息， 比如环境参数信息、肥料参数信息等；生长参数信息，比如产量信息、口感信息、品相信息和生长周期信息等；以及成本参数信息，参数信息越详细越利于对作物进行监控和管理；进一步地，用于预设评价维度包括但不限于：产量、口感、品相、成本和生长周期，针对不同的作物可以适配不同的预设评价维度。
图9示出了本发明实施例的用户终端的示意框图。
如图9所示，根据本发明实施例的用户终端90，包括上述实施例所述的种植参数设置装置80，因此，该用户终端90具有该种植参数设置装置80所有的有益效果，在此不再赘述。
图10示出了本发明第二实施例的计算机设备的示意框图。
如图10所示，根据本发明第二实施例的计算机设备100，包括处理器1002和存储器1004，其中，存储器1004上存储有可在处理器1002上运行的计算机程序，其中存储器1004和处理器1002之间可以通过总线连接，该处理器1002用于执行存储器1004中存储的计算机程序时实现如上实施例中所述的种植参数设置方法的步骤。
本发明实施例的方法中的步骤可以根据实际需要进行顺序调整、合并和删减。
本发明实施例的种植参数设置装置和计算机设备中的单元可以根据实际需要进行合并、划分和删减。
根据本发明的实施例，提出了一种计算机可读存储介质，其上存储有计算机程序，所述计算机程序被处理器执行时实现如上实施例中所述的种植参数设置方法的步骤。
进一步地，可以理解的是，流程图中或在此以其他方式描述的任何过程或方法描述可以被理解为，表示包括一个或更多个用于实现特定逻辑功能或过程的步骤的可执行指令的代码的模块、片段或部分，并且本发明的优选实施方式的范围包括另外的实现，其中可以不按所示出或讨论的顺序，包括根据所涉及的功能按基本同时的方式或按相反的顺序，来执行功能，这应被本发明的实施例所属技术领域的技术人员所理解。
在流程图中表示或在此以其他方式描述的逻辑和/或步骤，例如，可以 被认为是用于实现逻辑功能的可执行指令的定序列表，可以具体实现在任何计算机可读介质中，以供指令执行系统、装置或设备(如基于计算机的系统、包括处理器的系统或其他可以从指令执行系统、装置或设备取指令并执行指令的系统)使用，或结合这些指令执行系统、装置或设备而使用。就本说明书而言，“计算机可读介质”可以是任何可以包含、存储、通信、传播或传输程序以供指令执行系统、装置或设备或结合这些指令执行系统、装置或设备而使用的装置。计算机可读介质的更具体的示例(非穷尽性列表)包括以下：具有一个或多个布线的电连接部(电子装置)，便携式计算机盘盒(磁装置)，随机存取存储器(RAM)，只读存储器(ROM)，可擦除可编辑只读存储器(EPROM或闪速存储器)，光纤装置，以及便携式光盘只读存储器(CDROM)。另外，计算机可读介质甚至可以是可在其上打印所述程序的纸或其他合适的介质，因为可以例如通过对纸或其他介质进行光学扫描，接着进行编辑、解译或必要时以其他合适方式进行处理来以电子方式获得所述程序，然后将其存储在计算机存储器中。
应当理解，本发明的各部分可以用硬件、软件、固件或它们的组合来实现。在上述实施方式中，多个步骤或方法可以用存储在存储器中且由合适的指令执行系统执行的软件或固件来实现。例如，如果用硬件来实现，和在另一实施方式中一样，可用本领域公知的下列技术中的任一项或他们的组合来实现：具有用于对数据信号实现逻辑功能的逻辑门电路的离散逻辑电路，具有合适的组合逻辑门电路的专用集成电路，可编程门阵列(PGA)，现场可编程门阵列(FPGA)等。
本技术领域的普通技术人员可以理解实现上述实施例方法携带的全部或部分步骤是可以通过程序来指令相关的硬件完成，所述的程序可以存储于一种计算机可读存储介质中，该程序在执行时，包括方法实施例的步骤之一或其组合。
此外，在本发明各个实施例中的各功能单元可以集成在一个处理模块中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。所述集成的模块如果以软件功能模块的形式实现 并作为独立的产品销售或使用时，也可以存储在一个计算机可读取存储介质中。
上述提到的计算机设备可以是用户终端等，上述提到的存储介质可以是只读存储器，磁盘或光盘等。
进一步地，根据本发明的一个实施例提出了一种种植参数设置系统，包括如上实施例中所述的服务器50和如上实施例中所述的用户终端90。
具体地，服务器50用于接收并存储第一植物工厂上传的作物参数信息，用户终端90对应于待与目标第一植物工厂进行参数同步的第二植物工厂。
其中，第一植物工厂记录多种作物全生长周期内的参数信息，包括：种植参数信息、生长数据信息(即生长参数信息，如产量、品相、口感等)、成本参数信息等，并将它们按作物进行关联后上传至服务器50，服务器50对生长数据信息、成本参数信息等进行处理，提取关键词信息(对应预设评价维度)并进行分类存储和排序。用户种植过程中通过用户终端90查询服务器50，服务器50推送关键词信息及对应参数取值信息，用户输入关键词和对应的赋值确定目标作物对应的包括环境数据信息在内的种植参数信息。
比如，以下表为例，服务器50获取了4个第一植物工厂中生菜的生长数据信息、成本参数信息等，并从上述信息中提取了关键词：产量、口感、成本、品相(关键词也可称为评价维度，可以基于作物种类的不同而不同)，各参数信息取值的量化标准包括文字和数字，下表中具体采用了单位产量、口感、单位成本和品相，为了方便后续用户选择，也可以将单位产量设置为平均产量等。当用户想在第二植物工厂中种植奶白菜时，在用户终端90输入奶白菜的关键词或者在用户终端90的屏幕上选择奶白菜的选择按钮，以发送至服务器50，则服务器50会向用户终端90推送奶白菜种植过程中的关键词，如：产量、口感、成本、品相，用户选择考虑指标：若只考虑口感优，则将口感作为目标关键词反馈至服务器50，进而服务器50向用户终端90推送口感最佳的种植参数信息以进行生长环境数据等参数设置；若考虑产量高、口感优/良、成本低，则将上述排序和取值反馈至服务器50， 进而服务器50向用户终端90推送基于用户选择指标限定的目标第一植物工厂对应的种植参数信息，以进行生长环境数据等参数设置，即用户可以通过在用户终端90选择关键词指标，并设置优先级排序和/或对应的阈值，进一步地，用户在用户终端90设置关键词指标的排序时可以以滑动操作各关键词分别对应的进度条的形式设置优先级，用户依次滑动进度条对关键词指标进行排序，更进一步地，在确定优先级在前的一关键词指标后，服务器50可以基于其存储的各关键词指标对应的取值自动确定优先级在后的关键词指标的可用的阈值范围，以确保更加准确地定位到目标第一植物工厂，从而获取到最优的目标作物的种植参数信息。
Figure PCTCN2018084164-appb-000001
以上结合附图详细说明了本发明的技术方案，通过本发明的技术方案，可以实现植物工厂间最优的种植参数的同步，便于用户快速配置植物工厂的种植参数，以提升用户的种植体验。
在本说明书的描述中，术语“第一”、“第二”仅用于描述的目的，而不能理解为指示或暗示相对重要性，对于本领域的普通技术人员而言，可以根据具体情况理解上述术语在本公开实施例中的具体含义。
以上所述仅为本发明的优选实施例而已，并不用于限制本发明，对于本领域的技术人员来说，本发明可以有各种更改和变化。凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。

Claims (10)

  1. 一种种植参数设置方法，用于服务器，其特征在于，包括：
    接收第一植物工厂上传的作物全生长周期内的参数信息；
    提取每种作物的所述参数信息中与预设评价维度匹配的目标参数信息；
    接收第二植物工厂关联的用户终端发来的与目标作物对应的查询关键词，并将与所述查询关键词对应的所述预设评价维度发送至所述用户终端；
    根据所述目标参数信息和所述用户终端基于所述预设评价维度生成的参数筛选规则获取所述目标作物的目标种植参数；
    将所述目标种植参数发送至所述用户终端，以用于对所述第二植物工厂进行参数设置。
  2. 根据权利要求1所述的种植参数设置方法，其特征在于，所述根据所述目标参数信息和所述用户基于所述预设评价维度生成的参数筛选规则获取所述目标作物的目标种植参数的步骤包括：
    对于所述预设评价维度中的每个评价维度，将所述第一植物工厂按照所述每个评价维度对应的所述目标参数信息进行排序；
    根据所述参数筛选规则中包含的目标评价维度的优先级排序和/或目标评价维度对应的参数取值范围在完成排序的所述第一植物工厂中选定目标第一植物工厂；
    将所述目标第一植物工厂上传的与所述目标作物对应的参数信息中的种植参数作为所述目标种植参数。
  3. 根据权利要求1或2所述的种植参数设置方法，其特征在于，
    所述参数信息包括：种植参数信息、生长参数信息和成本参数信息，其中，所述生长参数信息包括：产量信息、口感信息、品相信息和生长周期信息；以及
    所述预设评价维度包括：产量、口感、品相、成本和生长周期。
  4. 一种种植参数设置方法，用于用户终端，其特征在于，包括：
    向服务器发送与待种植的目标作物对应的查询关键词；
    接收所述服务器根据所述查询关键反馈的与所述目标作物匹配的预设评价维度；
    根据用户操作指令基于所述预设评价维度生成参数筛选规则；
    将所述参数筛选规则发送至所述服务器，以用于获取所述服务器中存储的由第一植物工厂所上传的适用于所述目标作物的目标种植参数；
    接收所述目标种植参数，并根据所述目标种植参数对第二植物工厂进行参数设置。
  5. 根据权利要求4所述的种植参数设置方法，其特征在于，所述根据用户操作指令基于所述预设评价维度生成参数筛选规则的步骤包括：
    根据所述用户操作指令在所述预设评价维度中选出目标评价维度，并对所述目标评价维度进行优先级排序；和/或
    根据所述用户操作指令在所述预设评价维度中选出目标评价维度以及设置所述目标评价维度的参数取值范围，并对所述目标评价维度进行优先级排序。
  6. 一种种植参数设置装置，用于服务器，其特征在于，包括：
    接收模块，用于接收第一植物工厂上传的作物全生长周期内的参数信息；
    提取模块，用于提取每种作物的所述参数信息中与预设评价维度匹配的目标参数信息；
    处理模块，用于接收第二植物工厂关联的用户终端发来的与目标作物对应的查询关键词，并将与所述查询关键词对应的所述预设评价维度发送至所述用户终端；
    获取模块，用于根据所述目标参数信息和所述用户终端基于所述预设评价维度生成的参数筛选规则获取所述目标作物的目标种植参数；
    发送模块，用于将所述目标种植参数发送至所述用户终端，以用于对所述第二植物工厂进行参数设置。
  7. 根据权利要求6所述的种植参数设置装置，其特征在于，所述获取模块具体包括：
    排序子模块，用于对于所述预设评价维度中的每个评价维度，将所述 第一植物工厂按照所述每个评价维度对应的所述目标参数信息进行排序；
    筛选子模块，用于根据所述参数筛选规则中包含的目标评价维度的优先级排序和/或目标评价维度对应的参数取值范围在完成排序的所述第一植物工厂中选定目标第一植物工厂；
    确定子模块，用于将所述目标第一植物工厂上传的与所述目标作物对应的参数信息中的种植参数作为所述目标种植参数。
  8. 根据权利要求6或7所述的种植参数设置装置，其特征在于，
    所述参数信息包括：种植参数信息、生长参数信息和成本参数信息，其中，所述生长参数信息包括：产量信息、口感信息、品相信息和生长周期信息；以及
    所述预设评价维度包括：产量、口感、品相、成本和生长周期。
  9. 一种种植参数设置装置，用于用户终端，其特征在于，包括：
    查询模块，用于向服务器发送与待种植的目标作物对应的查询关键词；
    接收模块，用于接收所述服务器根据所述查询关键反馈的与所述目标作物匹配的预设评价维度；
    生成模块，用于根据用户操作指令基于所述预设评价维度生成参数筛选规则；
    发送模块，用于将所述参数筛选规则发送至所述服务器，以用于获取所述服务器中存储的由第一植物工厂所上传的适用于所述目标作物的目标种植参数；
    设置模块，用于接收所述目标种植参数，并根据所述目标种植参数对第二植物工厂进行参数设置。
  10. 根据权利要求9所述的种植参数设置装置，其特征在于，所述生成模块具体用于：
    根据所述用户操作指令在所述预设评价维度中选出目标评价维度，并对所述目标评价维度进行优先级排序；和/或
    根据所述用户操作指令在所述预设评价维度中选出目标评价维度以及设置所述目标评价维度的参数取值范围，并对所述目标评价维度进行优先级排序。
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