CN113987039A - Digital agricultural cloud platform - Google Patents
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Abstract
The invention provides a digital agricultural cloud platform, which comprises a technical database, a processing module and a communication module, wherein the technical database is used for storing a plurality of technical data; the technical database is used for storing planting technologies, and the planting technologies comprise standard planting technologies and alternative planting technologies; the communication module is used for realizing communication between the processing module and distributed monitoring equipment and a user side, the distributed monitoring equipment is arranged in various planting scenes, and the user side corresponds to the planting scenes; the processing module is used for carrying out abnormity identification based on the detection data of the distributed monitoring equipment, calling the planting technology in the technology database when abnormity is identified, generating push information based on the planting technology, and pushing the push information to the user side. The digital agricultural cloud platform pushes reasonable planting technology to users based on analysis of detection data of planting scenes, and working effectiveness of the platform is greatly improved.
Description
Technical Field
The invention relates to the technical field of intelligent agriculture, in particular to a digital agriculture cloud platform.
Background
With the development of information technologies such as big data, internet of things and cloud computing, the intelligent agriculture has become a key word for future development of agriculture. With the advent of the cloud era, the cloud service technology has gained wide attention and application research due to its advantages of weakening the requirements on clients, breaking through the traditional information propagation mode, sending messages to farmers without obstacles, and the like. By building an agricultural resource intelligent management platform, agricultural big data application is promoted, fusion of information technology and aspects of agricultural production management, operation management, market circulation, resource environment and the like can be effectively promoted, and agricultural intellectualization and precision levels are improved. However, the current intelligent agricultural platform only comprises an information plate, a variety technical plate, an agricultural commercial plate and the like, which can only provide some information, but the information is not targeted, the requirement for knowledge storage of farmers is high, the actual use experience is poor, and a part of the intelligent agricultural platform also comprises an interactive plate, but a large amount of technical personnel are required for the storage of the platform to provide consultation response work, which is hardly realized.
Therefore, how to improve the use efficiency of the digital agriculture cloud platform is a technical problem which needs to be solved urgently at present.
Disclosure of Invention
In order to solve the technical problems in the background art, the invention provides a digital agricultural cloud platform to improve the use efficiency of the digital agricultural cloud platform.
The invention provides a digital agricultural cloud platform, which comprises a technical database, a processing module and a communication module, wherein the processing module is connected with the technical database and the communication module; wherein,
the technology database is used for storing planting technologies, and the planting technologies comprise standard planting technologies and alternative planting technologies;
the communication module is used for realizing communication between the processing module and distributed monitoring equipment and a user side, the distributed monitoring equipment is arranged in various planting scenes, and the user side corresponds to the planting scenes;
the processing module is used for carrying out abnormity identification based on the detection data of the distributed monitoring equipment, calling the planting technology in the technology database when abnormity is identified, generating push information based on the planting technology, and pushing the push information to the user side.
Optionally, the processing module performs anomaly identification based on the detection data of the distributed monitoring device, and includes:
receiving and processing and analyzing the detection data to obtain an analysis result;
determining a growth stage of a corresponding crop based on a plurality of previous detection data, judging whether the analysis result is matched with the growth stage, and if so, determining no abnormity; otherwise, it is determined to be abnormal.
Optionally, if the analysis result is the growth condition of the crop, the growth condition at least comprises the size of the plant body of the crop, then:
the number of the prior detection data is in direct proportion to the size of the crop plant body.
Optionally, the processing module generates push information based on the planting technology, and includes:
matching the analysis result with the planting technology in the technology database, and if the matching result exists, taking the matched planting technology as the push information; and if the matching result does not exist, taking preset prompt information as the push information.
Optionally, matching the analysis result with the planting technology in the technology database, and if there is a matching result, using the matched planting technology as the push information, including:
matching the analysis result with the standard planting technology, and if the matching result exists, taking the matched standard planting technology as the push information; and if the matching result does not exist, matching the analysis result with the alternative planting technology, and if the matching result exists, using the matched alternative planting technology as the push information.
Optionally, after pushing the push information to the user side, the processing module further includes:
scheduling the communication module to continue receiving the detection data of the distributed monitoring equipment;
judging whether the planting technology in the pushing information is executed or not based on the detection data, if so, continuing to judge whether the abnormality disappears or not based on the detection data; if not, extracting and integrating a planting behavior sequence of the user based on the detection data, and continuously judging whether the abnormality disappears based on the detection data.
Optionally, if the abnormality disappears, increasing a pushing weight of the planting technology in the pushing information, or generating a new alternative planting technology based on the planting behavior sequence, and updating the new alternative planting technology to the technology database.
Optionally, the distributed monitoring device includes a camera, a plant device operation data monitoring device, and at least one of a carbon dioxide sensor, a soil temperature and humidity sensor, an air temperature and humidity sensor, and a soil element sensor.
Optionally, the digital agriculture cloud platform further comprises:
the information module is used for aggregating agricultural news dynamic and decision information, including but not limited to agricultural policy and regulation, decision reference of agricultural management department, agricultural information, scientific and technological progress, enrichment information and the like;
the agricultural business module is used for providing agricultural product sale stagnation, sale assisting, supply and sale butt joint and agricultural enterprise base display functions;
and the consultation module is used for establishing a communication channel between the agricultural producer and the agricultural expert, and comprises a hotline telephone service, a bidirectional video consultation service and an online customer service.
Optionally, the consultation module is configured to set up the communication channel only when the processing module determines that the planting technique in the push information is not executed.
The invention has the beneficial effects that:
the digital agricultural cloud platform provided by the invention has the advantages that the technical database is built, the reasonable planting technology is pushed to the user based on the abnormal analysis of the detection data of the planting scene, and compared with the mode that the platform in the prior art can only push agricultural information in an undifferentiated and unidirectional manner, the digital agricultural cloud platform provided by the invention has obviously stronger problem solving capability and efficiency, the working effectiveness of the platform is greatly improved, the use experience of farmers is improved, and the agricultural production efficiency is obviously improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a schematic structural diagram of a digital agricultural cloud platform according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of another digital agricultural cloud platform disclosed in the embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present invention, it should be noted that if the terms "upper", "lower", "inside", "outside", etc. indicate an orientation or a positional relationship based on that shown in the drawings or that the product of the present invention is used as it is, this is only for convenience of description and simplification of the description, and it does not indicate or imply that the device or the element referred to must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention.
Furthermore, the appearances of the terms "first," "second," and the like, if any, are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
It should be noted that the features of the embodiments of the present invention may be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a digital agriculture cloud platform according to an embodiment of the present invention. As shown in fig. 1, the digital agriculture cloud platform according to the embodiment of the present invention includes a technology database (101), a processing module (102), and a communication module (103), where the processing module (102) is connected to the technology database (101) and the communication module (103); wherein,
the technology database (101) is used for storing planting technologies, and the planting technologies comprise standard planting technologies and alternative planting technologies;
the communication module (103) is used for realizing communication between the processing module (102) and distributed monitoring equipment and a user side, the distributed monitoring equipment is arranged in various planting scenes, and the user side corresponds to the planting scenes;
the processing module (102) is configured to perform anomaly identification based on the detection data of the distributed monitoring device, call a planting technology in the technology database (101) when an anomaly is identified, generate push information based on the planting technology, and push the push information to a user side.
In the embodiment of the invention, the digital agriculture cloud platform comprises a technical database, a processing module and a communication module, wherein the technical database stores two types of planting technologies, and the standard planting technology is an effective and standard planting technology based on a large number of theory and practice proofs, such as the standard planting technology summarized by the arrangement of agricultural experts, and can be the standard planting technology in an industry specification or a textbook; alternative planting techniques are those that have proven effective on a small scale, for example, individual farmers search their own summarized planting experience. The processing module can acquire field crop growth data through distributed monitoring equipment arranged in a planting scene, and when the abnormality is found, a proper planting technology can be retrieved from the technology database and pushed to a user, so that planting guidance is performed on the user. Compared with the prior art that the intelligent agricultural management system only can passively and indiscriminately provide agricultural consultation information or provide artificial consultation service with poor experience, the digital agricultural cloud platform can automatically push a proper disposal scheme based on the actual situation of a planting site, and the effective working efficiency of the agricultural cloud platform is remarkably improved.
The planting scene served by the digital agriculture cloud platform can comprise a greenhouse, an open farm and a mixed planting scene. The digital agriculture cloud platform in the invention is constructed at the server side, and as for the type of the server, the server can be an independent server (so-called physical server), a virtual host, a Virtual Private Server (VPS), a cloud server, and the like, wherein the independent server includes but is not limited to a tower server, a rack server, a blade server, a high-density server, and the like.
In addition, in order to further improve the performance and stability of the digital agricultural cloud platform, the platform can be constructed to realize high-performance, high-reliability and easy-to-manage-maintain data storage and management through a cluster storage technology, a virtualization technology is adopted to unify resource interfaces, simplify a deployment process, realize parallel operation and the like, the bandwidth of network equipment and a server is expanded by utilizing load balance, the throughput is increased, and the flexibility and the availability of the network are effectively improved.
Optionally, the processing module (102) performs anomaly identification based on the detection data of the distributed monitoring device, and includes:
receiving and processing and analyzing the detection data to obtain an analysis result;
determining a growth stage of a corresponding crop based on a plurality of previous detection data, judging whether the analysis result is matched with the growth stage, and if so, determining no abnormity; otherwise, it is determined to be abnormal.
In the embodiment of the invention, the processing module can know the real-time growth condition of the crop by analyzing the detection data, and meanwhile, the growth conditions in different growth stages are different. For example, taking corn as an example, the growth cycle of corn is generally 100-120 days, the plant height of the corn reaches the normal plant height basically in the ear stage, and if the corn plant is found to obviously not reach the normal plant height based on the detection data, the corn plant can be identified as abnormal. In addition, the association relationship between each growth stage and the normal growth condition of the plant needs to be established in advance, namely, a plurality of plant photos of different growth stages are fitted into a standard plant image, so that a standard plant image set is obtained, and the association is established between the standard plant image set and the growth stages; or extracting the characteristics of a plurality of plant photos at different growth stages, fitting the characteristics to obtain standard plant characteristics, establishing a standard plant characteristic set and establishing association with the growth stages.
Optionally, if the analysis result is the growth condition of the crop, the growth condition at least comprises the size of the plant body of the crop, then:
the number of the prior detection data is in direct proportion to the size of the crop plant body.
In the embodiment of the invention, because the alternate planting or the continuous planting of the crops in the planting scene is very frequent, farmers are also hardly required to upload the planting time starting point of the crops, and meanwhile, after the crops reach a certain growth stage, the change of plants is usually small, and the growth stage of the crops is difficult to analyze. In response to this problem, the present invention provides a solution for determining the growth stage of a crop based on the plant size of the crop, i.e., if the plant size is large, e.g., close to a normal plant size threshold, more prior detection data is retrieved, such that the growth stage of the crop can be analyzed using growth data for a longer period of time, whereas the growth stage of the crop can be analyzed using growth data for a shorter period of time. For example, a change curve of plant characteristics is drawn based on the previous detection data, when the size of a plant is larger, the growth of the plant is basically close to the mature period, and the change of the plant characteristics is smaller (for example, the size change of a corn plant at the ear period stage and the flower grain stage is smaller), so that the growth curve needs to be drawn by using data in a longer time period, so that the growth curve is more obvious, and the judgment of the current growth stage is facilitated; when the size of the plant is small, the plant is in a rapid growth period, the change of the characteristics of the plant is large, at the moment, too much data is not needed, and the growth stage of the crop can be accurately identified by a growth curve drawn by the growth data in a short period.
Optionally, the processing module (102) generates push information based on the planting technology, and includes:
matching the analysis result with the planting technology in the technology database (101), and if a matching result exists, using the matched planting technology as the push information; and if the matching result does not exist, taking preset prompt information as the push information.
In the embodiment of the invention, when the abnormality is identified, the proper planting technology can be quickly called out through the matching search of the analysis result and the planting technology, and then the proper planting technology is pushed to a user for guidance. The association between the analysis result and the planting technology needs to be pre-established, that is, various abnormal conditions and corresponding processing modes need to be pre-associated, and for the establishment of the association, the aforementioned establishment of the growth stage and the analysis result can be referred to, which is not described herein again.
Optionally, matching the analysis result with the planting technology in the technology database (101), and if there is a matching result, using the matched planting technology as the push information includes:
matching the analysis result with the standard planting technology, and if the matching result exists, taking the matched standard planting technology as the push information; and if the matching result does not exist, matching the analysis result with the alternative planting technology, and if the matching result exists, using the matched alternative planting technology as the push information.
In the embodiment of the invention, for agricultural planting, the trial and error cost is very high, so that the invention preferentially pushes the standard planting technology to users, and for difficult abnormal conditions, pushes the alternative planting technology to users. Of course, a sufficient description should be made when pushing the alternative planting technique, including the popularity of the alternative planting technique, the various possible risks that exist, and the like.
Optionally, after pushing the push information to the user end, the processing module (102) further includes:
scheduling the communication module (103) to continue receiving detection data of the distributed monitoring device;
judging whether the planting technology in the pushing information is executed or not based on the detection data, if so, continuing to judge whether the abnormality disappears or not based on the detection data; if not, extracting and integrating a planting behavior sequence of the user based on the detection data, and continuously judging whether the abnormality disappears based on the detection data.
Optionally, if the abnormality disappears, increasing a pushing weight of the planting technology in the pushing information, or generating a new alternative planting technology based on the planting behavior sequence, and updating the new alternative planting technology to the technology database.
In the embodiment of the invention, besides the planting technology is pushed to the peasant household, the pushed planting technology is followed up in the invention, if the planting technology is executed by the user, whether the abnormality disappears or weakens can be identified based on the detection data in the subsequent time period, if yes, the planting technology is effective, at the moment, the weight of the planting technology can be increased, and thus when a plurality of planting technologies hit in the subsequent matching calculation process, the planting technology can be selected based on the weight. Meanwhile, the farmer may not adopt the platform-pushed planting technology, at this time, the actual planting behavior of the farmer after the planting technology refusing pushing can be analyzed based on the detection data, if the abnormality disappears or weakens based on the analysis of the detection data, the farmer is indicated to master a feasible non-standard planting technology, at this time, the planting behavior sequence of the farmer is sorted into a new alternative planting technology and is updated in the technology database. Therefore, the scheme of the invention forms a benign dynamic cycle process, solves the abnormal planting condition of farmers, can also realize the continuous updating of the technical database, and the newly added planting technology is proved to be effective, thereby ensuring the reliability of the planting technology in the technical database to a great extent.
In addition, in order to further guarantee the reliability of the planting technology, an updating condition of the alternative planting technology may be set, for example, when the valid times of the planting behavior sequence of the farmer reach a threshold value M, or the same planting behavior sequence of more than N farmers is proved to be valid, the same planting behavior sequence is updated to the alternative planting technology in the technology database.
Optionally, the distributed monitoring device includes a camera, a plant device operation data monitoring device, and at least one of a carbon dioxide sensor, a soil temperature and humidity sensor, an air temperature and humidity sensor, and a soil element sensor.
In the embodiment of the invention, a plurality of monitoring devices of different types can be arranged in each planting scene according to the needs, for example, a camera can be used for analyzing the growth condition of crops by an image recognition technology; the planting equipment operation data monitoring device can obtain the operation data of farmers on various equipment (such as irrigation equipment, ventilation equipment, lighting equipment, heating equipment, fertilizing equipment and the like) in a planting scene, and the data can be used for analyzing the planting behaviors of the farmers; and various sensors can be used for assisting in analyzing the current growth condition of crops and the planting behavior of farmers, and certainly, other types of sensors can be selected according to the design requirements besides the sensors listed above, which is not described herein again.
Optionally, referring to fig. 2, the digital agriculture cloud platform provided by the present invention further includes:
the information module (104) is used for aggregating agricultural news dynamic and decision information, including but not limited to agricultural policy and regulation, decision reference of agricultural management department, agricultural information, scientific and technological progress, enrichment information and the like;
the agricultural business module (105) is used for providing agricultural product sale stagnation, sale assisting, supply and sale butt joint and agricultural enterprise base display functions;
and the consultation module (106) is used for building a communication channel between the agricultural producer and the agricultural expert, and comprises hotline telephone service, bidirectional video consultation service and online customer service.
In the embodiment of the invention, the digital agriculture cloud platform can provide a solution for planting abnormality and other services, such as various information, agricultural information, consultation services and the like, so as to provide all-around planting guidance for farmers.
Optionally, the consultation module (106) is configured to, when the processing module (102) determines that the planting technique in the push information is not executed, construct the communication channel.
In the embodiment of the invention, as the platform generally has difficulty in organizing enough technical experts to provide real-time manual consultation service for farmers, the digital agriculture cloud platform of the invention solves the abnormal condition preferentially by pushing information, and allows a manual channel to be established when the pushed planting technology is not adopted by the farmers. Of course, the above information and the agricultural and commercial information may not be provided with the restriction condition.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A digital agriculture cloud platform which is characterized in that: the system comprises a technical database, a processing module and a communication module, wherein the processing module is connected with the technical database and the communication module; wherein,
the technology database is used for storing planting technologies, and the planting technologies comprise standard planting technologies and alternative planting technologies;
the communication module is used for realizing communication between the processing module and distributed monitoring equipment and a user side, the distributed monitoring equipment is arranged in various planting scenes, and the user side corresponds to the planting scenes;
the processing module is used for carrying out abnormity identification based on the detection data of the distributed monitoring equipment, calling the planting technology in the technology database when abnormity is identified, generating push information based on the planting technology, and pushing the push information to the user side.
2. The digital agricultural cloud platform of claim 1, wherein: the processing module performs anomaly identification based on the detection data of the distributed monitoring equipment, and comprises:
receiving and processing and analyzing the detection data to obtain an analysis result;
determining a growth stage of a corresponding crop based on a plurality of previous detection data, judging whether the analysis result is matched with the growth stage, and if so, determining no abnormity; otherwise, it is determined to be abnormal.
3. The digital agricultural cloud platform of claim 2, wherein: and the analysis result is the growth condition of the crops, and the growth condition at least comprises the plant body size of the crops, then:
the number of the prior detection data is in direct proportion to the size of the crop plant body.
4. The digital agricultural cloud platform of claim 2 or 3, wherein: the processing module generates push information based on the planting technology, and comprises:
matching the analysis result with the planting technology in the technology database, and if the matching result exists, taking the matched planting technology as the push information; and if the matching result does not exist, taking preset prompt information as the push information.
5. The digital agricultural cloud platform of claim 4, wherein: matching the analysis result with the planting technology in the technology database, and if a matching result exists, using the matched planting technology as the push information, including:
matching the analysis result with the standard planting technology, and if the matching result exists, taking the matched standard planting technology as the push information; and if the matching result does not exist, matching the analysis result with the alternative planting technology, and if the matching result exists, using the matched alternative planting technology as the push information.
6. The digital agricultural cloud platform of claim 5, wherein: the processing module, after pushing the push information to the user side, further includes:
scheduling the communication module to continue receiving the detection data of the distributed monitoring equipment;
judging whether the planting technology in the pushing information is executed or not based on the detection data, if so, continuing to judge whether the abnormality disappears or not based on the detection data; if not, extracting and integrating a planting behavior sequence of the user based on the detection data, and continuously judging whether the abnormality disappears based on the detection data.
7. The digital agricultural cloud platform of claim 6, wherein: if the abnormality disappears, the pushing weight of the planting technology in the pushing information is increased, or a new alternative planting technology is generated based on the planting behavior sequence and is updated to the technology database.
8. The digital agricultural cloud platform of claim 7, wherein: the distributed monitoring equipment comprises a camera, a planting equipment operation data monitoring device and at least one of a carbon dioxide sensor, a soil temperature and humidity sensor, an air temperature and humidity sensor and a soil element sensor.
9. The digital agricultural cloud platform of claim 8, wherein: the digital agriculture cloud platform further comprises:
the information module is used for aggregating agricultural news dynamic and decision information, including but not limited to agricultural policy and regulation, decision reference of agricultural management department, agricultural information, scientific and technological progress, enrichment information and the like;
the agricultural business module is used for providing agricultural product sale stagnation, sale assisting, supply and sale butt joint and agricultural enterprise base display functions;
and the consultation module is used for establishing a communication channel between the agricultural producer and the agricultural expert, and comprises a hotline telephone service, a bidirectional video consultation service and an online customer service.
10. The digital agricultural cloud platform of claim 9, wherein: the consultation module is used for the processing module to judge that the planting technology in the push information is not executed and then to build the communication channel.
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| CN202111138817.1A CN113987039A (en) | 2021-09-27 | 2021-09-27 | Digital agricultural cloud platform |
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| CN202111138817.1A CN113987039A (en) | 2021-09-27 | 2021-09-27 | Digital agricultural cloud platform |
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