CN113077356B - Monitoring method, system, equipment and medium based on agricultural Internet of things - Google Patents
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Abstract
The monitoring method, the monitoring system, the monitoring equipment and the monitoring medium based on the agricultural Internet of things have the advantages that firstly, monitoring measure indexes and data index matching records of target agricultural monitoring data are obtained, secondly, a local behavior data control mode and a global behavior data control mode contained in the target agricultural monitoring data are determined according to the monitoring measure indexes, and thirdly, the data index matching records of the local behavior data control mode and the global behavior data control mode are adjusted, so that the local behavior data control mode and the global behavior data control mode are replaced. By the design, safe production control can be performed on the target agricultural monitoring data based on the replaced local behavior data control mode and the global behavior data control mode, so that safe control is realized in the monitoring process of the target agricultural monitoring data to improve the monitoring accuracy of the target agricultural monitoring data and reduce the error rate of the target agricultural monitoring data.
Description
Technical Field
The invention relates to the technical field of agricultural monitoring, in particular to a monitoring method, a monitoring system, monitoring equipment and a monitoring medium based on an agricultural Internet of things.
Background
The monitored production environment is very severe, so that the monitoring accuracy of the agricultural monitoring data can be obviously reduced, and the error rate of the agricultural monitoring data is improved.
Therefore, how to implement safe control in the monitoring process of the agricultural monitoring data to improve the monitoring accuracy of the agricultural monitoring data is a technical problem to be solved urgently at the present stage.
Disclosure of Invention
In order to solve the problems, the invention provides a monitoring method, a monitoring system, monitoring equipment and a monitoring medium based on an agricultural Internet of things.
The first aspect of the disclosure discloses a monitoring method based on an agricultural internet of things, which includes:
acquiring monitoring measure indexes of target agricultural monitoring data and matching records of all data indexes;
determining the target agricultural monitoring data according to the monitoring measure indexes, wherein the target agricultural monitoring data comprises a local behavior data control mode, determining the matching degree between each data index matching record of the global behavior data control mode of the target agricultural monitoring data and each data index matching record of the local behavior data control mode of the target agricultural monitoring data according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data of various fertilization modes and the recorded global behavior data parameters thereof, and adjusting the data index matching records of the neighbor of the global behavior data control mode of the target agricultural monitoring data and the data index matching record of the local behavior data control mode to the corresponding local behavior data control mode;
the real-time global behavior data control mode of the target agricultural monitoring data comprises measures of various data index matching records, the matching degree of all data index matching records of the real-time global behavior data control mode of the target agricultural monitoring data is determined according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data of various fertilization modes and the parameters of the recorded global behavior data, and all data index matching records of the real-time global behavior data control mode are divided according to the matching degree of all data index matching records;
and setting a local behavior data control mode mark for each data index matching record obtained by the division according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data in multiple fertilization modes and the recorded global behavior data parameter thereof, and adjusting each data index matching record to the local behavior data control mode represented by the local behavior data control mode mark.
Further, the determining the matching degree between each data index matching record of the global behavior data control mode of the target agricultural monitoring data and each data index matching record of the local behavior data control mode of the target agricultural monitoring data according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data of multiple fertilization modes and the recorded global behavior data parameters thereof, and adjusting the data index matching records of the neighbor of the global behavior data control mode of the target agricultural monitoring data and the data index matching records of the local behavior data control mode to the corresponding local behavior data control mode comprises: calculating a record distribution vector between each data index matching record of the global behavior data control mode of the target agricultural monitoring data and a monitoring record of each data index matching record of the local behavior data control mode of the target agricultural monitoring data; respectively judging whether each recording distribution vector meets a first set vector, and adjusting the data index matching records of the global behavior data control mode of which the recording distribution vectors meet the first set vector to a corresponding local behavior data control mode; wherein, the monitoring record of the data index matching record is as follows: and according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data in various fertilization modes and the data index matching records counted by recording the global behavior data parameters, the data index matching records belong to the distribution measures of the local behavior data control mode marks.
Further, the determining the matching degree between the data index matching records of the real-time global behavior data control mode of the target agricultural monitoring data according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data of multiple fertilization modes and the recorded global behavior data parameters thereof, and the dividing the data index matching records of the real-time global behavior data control mode according to the matching degree between the data index matching records comprises: calculating a record distribution vector between monitoring records of each data index matching record of a real-time global behavior data control mode of the target agricultural monitoring data; for a data index matching record of a real-time global behavior data control mode of target agricultural monitoring data, dividing all data index matching records of which the data index matching record and a record distribution vector between the data index matching record and a monitoring record of the data index matching record meet a second set vector into a group; wherein, the monitoring record of the data index matching record is as follows: and according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data in various fertilization modes and the data index matching records counted by recording the global behavior data parameters, belonging to the distribution measures of the local behavior data control mode marks.
Further, the setting of the local behavior data control mode flag for each data index matching record obtained by the division according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data of multiple fertilization modes includes: and for a group of divided data index matching records, determining a distribution measure of a local behavior data control mode mark to which each data index matching record belongs according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data of the multiple fertilization modes, and setting the local behavior data control mode mark for the data index matching record according to the distribution measure.
The second aspect of the disclosure reveals a monitored control system based on agricultural thing networking, including terminal equipment and monitoring device, terminal equipment with monitoring device communication connection, terminal equipment includes:
the record acquisition module is used for acquiring monitoring measure indexes of the target agricultural monitoring data and matching records of all data indexes;
the record adjusting module is used for determining the target agricultural monitoring data according to the monitoring measure indexes, wherein the target agricultural monitoring data comprises a local behavior data control mode, determining the matching degree between each data index matching record of the global behavior data control mode of the target agricultural monitoring data and each data index matching record of the local behavior data control mode of the target agricultural monitoring data according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data of multiple fertilization modes and the recorded global behavior data parameters, and adjusting the data index matching record of the neighbor of the global behavior data control mode and the data index matching record of the local behavior data control mode of the target agricultural monitoring data to the corresponding local behavior data control mode;
the system comprises a recording and dividing module, a data index matching and recording module and a data index matching and recording module, wherein the recording and dividing module is used for determining the matching degree among the data index matching and recording records of the real-time global behavior data control mode of the target agricultural monitoring data according to the data index matching and recording parameters of the local behavior data control mode of the neighboring agricultural monitoring data of various fertilization modes and the recorded global behavior data parameters of the local behavior data control mode of the neighboring agricultural monitoring data of various fertilization modes, and dividing the data index matching and recording records of the real-time global behavior data control mode according to the matching degree among the data index matching and recording records;
and the record setting module is used for setting a local behavior data control mode mark for each data index matching record obtained by division according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data in various fertilization modes and the recorded global behavior data parameter thereof, and adjusting each data index matching record to the local behavior data control mode represented by the local behavior data control mode mark.
Further, the terminal device includes:
calculating a record distribution vector between each data index matching record of the global behavior data control mode of the target agricultural monitoring data and the monitoring record of each data index matching record of the local behavior data control mode of the target agricultural monitoring data; respectively judging whether each recording distribution vector meets a first set vector, and adjusting the data index matching records of the global behavior data control mode of which the recording distribution vectors meet the first set vector to a corresponding local behavior data control mode; wherein, the monitoring record of the data index matching record is as follows: and according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data in various fertilization modes and the data index matching records counted by recording the global behavior data parameters, belonging to the distribution measures of the local behavior data control mode marks.
Further, the terminal device includes:
calculating a record distribution vector between monitoring records of each data index matching record of a real-time global behavior data control mode of the target agricultural monitoring data; for a data index matching record of a real-time global behavior data control mode of target agricultural monitoring data, dividing all data index matching records of which the data index matching record and a record distribution vector between the data index matching record and a monitoring record of the data index matching record meet a second set vector into a group; wherein, the monitoring record of the data index matching record is as follows: and according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data in various fertilization modes and the data index matching records counted by recording the global behavior data parameters, the data index matching records belong to the distribution measures of the local behavior data control mode marks.
Further, the terminal device includes:
and for a group of divided data index matching records, determining a distribution measure of a local behavior data control mode mark to which each data index matching record belongs according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data of the multiple fertilization modes, and setting the local behavior data control mode mark for the data index matching record according to the distribution measure.
A terminal device comprising a processor and a memory in communication with each other, the processor being configured to retrieve a computer program from the memory and to implement the method of any one of the above by running the computer program.
A computer-readable storage medium, having stored thereon a computer program which, when executed, implements the method of any of the above.
By applying the method and the device, the monitoring measure indexes and the data index matching records of the target agricultural monitoring data are obtained in the first step, the local behavior data control mode and the global behavior data control mode contained in the target agricultural monitoring data are determined according to the monitoring measure indexes in the second step, and the data index matching records of the local behavior data control mode and the global behavior data control mode are adjusted in the third step, so that the local behavior data control mode and the global behavior data control mode are replaced. By the design, safe production control can be performed on the target agricultural monitoring data based on the replaced local behavior data control mode and the global behavior data control mode, so that safe control is realized in the monitoring process of the target agricultural monitoring data to improve the monitoring accuracy of the target agricultural monitoring data and reduce the error rate of the target agricultural monitoring data.
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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 flowchart of a monitoring method based on an agricultural internet of things according to an embodiment of the present invention.
Fig. 2 is a functional module block diagram of a monitoring device based on an agricultural internet of things according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a hardware structure of terminal data according to an embodiment of the present invention.
Detailed Description
In order to better understand the technical solutions of the present invention, the following detailed descriptions of the technical solutions of the present invention are provided with the accompanying drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the examples of the present invention are the detailed descriptions of the technical solutions of the present invention, and are not limitations of the technical solutions of the present invention, and the technical features in the embodiments and the examples of the present invention can be combined with each other in a non-conflicting manner.
Referring to fig. 1, a monitoring method based on an agricultural internet of things is shown, which is applied to terminal data and includes the contents described in the following steps S11 to S14.
And S11, acquiring monitoring measure indexes of the target agricultural monitoring data and matching records of all data indexes.
And S12, determining the target agricultural monitoring data according to the monitoring measure indexes, wherein the target agricultural monitoring data comprises a local behavior data control mode, determining the matching degree between each data index matching record of the global behavior data control mode of the target agricultural monitoring data and each data index matching record of the local behavior data control mode of the target agricultural monitoring data according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data of various fertilization modes and the recorded global behavior data parameters, and adjusting the data index matching record of the neighbor of the global behavior data control mode and the data index matching record of the local behavior data control mode of the target agricultural monitoring data to the corresponding local behavior data control mode.
And S13, determining the matching degree among the data index matching records of the real-time global behavior data control mode of the target agricultural monitoring data according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data of various fertilization modes and the recorded global behavior data parameters of the local behavior data control mode of the neighbor agricultural monitoring data of various fertilization modes, and dividing the data index matching records of the real-time global behavior data control mode according to the matching degree among the data index matching records.
And S14, setting a local behavior data control mode mark for each data index matching record obtained by division according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data in multiple fertilization modes and the recorded global behavior data parameter thereof, and adjusting each data index matching record to the local behavior data control mode represented by the local behavior data control mode mark.
When the contents described in the above steps S11 to S14 are applied, the first step is to obtain monitoring measure indexes and matching records of each data index of the target agricultural monitoring data, the second step is to determine a local behavior data control mode and a global behavior data control mode included in the target agricultural monitoring data according to the monitoring measure indexes, and the third step is to adjust the matching records of the data indexes of the local behavior data control mode and the global behavior data control mode, so as to replace the local behavior data control mode and the global behavior data control mode. By the design, safe production control can be performed on the target agricultural monitoring data based on the replaced local behavior data control mode and the global behavior data control mode, so that safe control is realized in the monitoring process of the target agricultural monitoring data to improve the monitoring accuracy of the target agricultural monitoring data and reduce the error rate of the target agricultural monitoring data.
Further, the determining of the matching degree between each data index matching record of the global behavior data control mode of the target agricultural monitoring data and each data index matching record of the local behavior data control mode of the target agricultural monitoring data according to the data index matching record of the local behavior data control mode of the neighboring agricultural monitoring data of various fertilization modes and the recorded global behavior data parameter thereof, and adjusting the data index matching record of the neighboring data index matching record of the global behavior data control mode of the target agricultural monitoring data and the data index matching record of the local behavior data control mode to the corresponding local behavior data control mode comprises: calculating a record distribution vector between each data index matching record of the global behavior data control mode of the target agricultural monitoring data and the monitoring record of each data index matching record of the local behavior data control mode of the target agricultural monitoring data; respectively judging whether each record distribution vector meets a first set vector, and adjusting the data index matching record of the global behavior data control mode of the record distribution vector meeting the first set vector to a corresponding local behavior data control mode; wherein, the monitoring record of the data index matching record is as follows: and according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data in various fertilization modes and the data index matching records counted by recording the global behavior data parameters, belonging to the distribution measures of the local behavior data control mode marks.
Further, the determining the matching degree between the data index matching records of the real-time global behavior data control mode of the target agricultural monitoring data according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data of multiple fertilization modes and the recorded global behavior data parameters thereof, and the dividing the data index matching records of the real-time global behavior data control mode according to the matching degree between the data index matching records comprises: calculating a record distribution vector between monitoring records of each data index matching record of a real-time global behavior data control mode of the target agricultural monitoring data; for a data index matching record of a real-time global behavior data control mode of target agricultural monitoring data, dividing all data index matching records of which the data index matching record and a record distribution vector between the data index matching record and a monitoring record of the data index matching record meet a second set vector into a group; wherein, the monitoring record of the data index matching record is as follows: and according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data in various fertilization modes and the data index matching records counted by recording the global behavior data parameters, the data index matching records belong to the distribution measures of the local behavior data control mode marks.
Further, the setting of the local behavior data control mode flag for each data index matching record obtained by the division according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data of multiple fertilization modes includes: and for a group of divided data index matching records, determining a distribution measure of a local behavior data control mode mark to which each data index matching record belongs according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data of the plurality of fertilization modes, and setting the local behavior data control mode mark for the data index matching record according to the distribution measure.
Referring to fig. 2, a monitoring device 200 based on the internet of things of agriculture is provided, which includes:
the record obtaining module 210 is configured to obtain monitoring measure indexes of the target agricultural monitoring data and matching records of each data index;
the record adjusting module 220 is configured to determine the target agricultural monitoring data according to the monitoring measure indexes, where the target agricultural monitoring data includes a local behavior data control mode, determine a matching degree between each data index matching record of the global behavior data control mode of the target agricultural monitoring data and each data index matching record of the local behavior data control mode of the target agricultural monitoring data according to the data index matching records of the local behavior data control modes of neighboring agricultural monitoring data of multiple fertilization modes and the recorded global behavior data parameters, and adjust the data index matching records of the neighbors of the global behavior data control mode and the data index matching records of the local behavior data control mode of the target agricultural monitoring data to the corresponding local behavior data control mode;
the record dividing module 230 is configured to determine matching degrees among data index matching records of a real-time global behavior data control mode of the target agricultural monitoring data according to data index matching records of a local behavior data control mode of neighboring agricultural monitoring data of multiple fertilization modes and record global behavior data parameters thereof, and divide the data index matching records of the real-time global behavior data control mode according to the matching degrees among the data index matching records;
and the record setting module 240 is configured to set a local behavior data control mode flag for each data index matching record obtained by the division according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data in multiple fertilization modes and the record global behavior data parameter thereof, and adjust each data index matching record to the local behavior data control mode represented by the local behavior data control mode flag.
Further, the record adjusting module 220 determines a matching degree between each data index matching record of the global behavior data control mode of the target agricultural monitoring data and each data index matching record of the local behavior data control mode of the target agricultural monitoring data according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data of multiple fertilization modes and the recorded global behavior data parameter thereof, and adjusts the data index matching record of the neighbor of the global behavior data control mode of the target agricultural monitoring data and the data index matching record of the local behavior data control mode to the corresponding local behavior data control mode, including: calculating a record distribution vector between each data index matching record of the global behavior data control mode of the target agricultural monitoring data and the monitoring record of each data index matching record of the local behavior data control mode of the target agricultural monitoring data; respectively judging whether each record distribution vector meets a first set vector, and adjusting the data index matching record of the global behavior data control mode of the record distribution vector meeting the first set vector to a corresponding local behavior data control mode; wherein, the monitoring record of the data index matching record is as follows: and according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data in various fertilization modes and the data index matching records counted by recording the global behavior data parameters, belonging to the distribution measures of the local behavior data control mode marks.
Further, the record dividing module 230 determines a matching degree between data index matching records of a real-time global behavior data control mode of target agricultural monitoring data according to data index matching records of a local behavior data control mode of neighboring agricultural monitoring data of multiple fertilization modes and record global behavior data parameters thereof, and divides each data index matching record of the real-time global behavior data control mode according to the matching degree between the data index matching records includes: calculating a record distribution vector between monitoring records of each data index matching record of a real-time global behavior data control mode of the target agricultural monitoring data; for one data index matching record of a real-time global behavior data control mode of target agricultural monitoring data, dividing all data index matching records of which the data index matching record and the record distribution vector between the data index matching record and the monitoring record thereof meet a second set vector into a group; wherein, the monitoring record of the data index matching record is as follows: and according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data in various fertilization modes and the data index matching records counted by recording the global behavior data parameters, the data index matching records belong to the distribution measures of the local behavior data control mode marks.
Further, the setting, by the record setting module 240, a local behavior data control mode flag for each data index matching record obtained by the dividing according to the data index matching record of the local behavior data control mode of the neighboring agricultural monitoring data of multiple fertilization modes includes: and for a group of divided data index matching records, determining a distribution measure of a local behavior data control mode mark to which each data index matching record belongs according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data of the multiple fertilization modes, and setting the local behavior data control mode mark for the data index matching record according to the distribution measure.
Referring to fig. 3, a hardware block diagram of the terminal data 110 is provided.
Fig. 3 is a block diagram illustrating a terminal data 110 according to an embodiment of the present invention. The terminal data 110 in the embodiment of the present invention may be a server with data storage, transmission, and processing functions, as shown in fig. 3, where the terminal data 110 includes: memory 111, processor 112, network module 113 and agricultural internet of things based monitoring device 200.
The memory 111, the processor 112, and the network module 113 are electrically connected directly or indirectly to enable transmission or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The storage 111 stores the monitoring apparatus 200 based on the agricultural internet of things, the monitoring apparatus 200 based on the agricultural internet of things includes at least one software function module which can be stored in the storage 111 in the form of software or firmware (firmware), and the processor 112 executes various function applications and data processing by running software programs and modules stored in the storage 111, for example, the monitoring apparatus 200 based on the agricultural internet of things in the embodiment of the present invention, so as to implement the monitoring method based on the agricultural internet of things in the embodiment of the present invention.
The Memory 111 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 111 is used for storing a program, and the processor 112 executes the program after receiving the execution instruction.
The processor 112 may be an integrated circuit chip having data processing capabilities. The Processor 112 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. The various methods, steps and logic blocks disclosed in embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The network module 113 is used for establishing communication connection between the terminal data 110 and other communication terminal devices through a network, and implementing transceiving operation of network signals and data. The network signal may include a wireless signal or a wired signal.
It is to be understood that the configuration shown in fig. 3 is merely illustrative and that terminal data 110 may include more or fewer components than shown in fig. 3 or have a different configuration than shown in fig. 3. The components shown in fig. 3 may be implemented in hardware, software, or a combination thereof.
An embodiment of the present invention also provides a computer-readable storage medium, which includes a computer program. The computer program controls the terminal data 110 in which the readable storage medium is located to perform the above-mentioned method when running.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a terminal data 110, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art to which the present application pertains. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A monitoring method based on an agricultural Internet of things is characterized by comprising the following steps:
acquiring monitoring measure indexes of target agricultural monitoring data and matching records of all data indexes;
determining the target agricultural monitoring data according to the monitoring measure indexes, wherein the target agricultural monitoring data comprises a local behavior data control mode, determining the matching degree between each data index matching record of the global behavior data control mode of the target agricultural monitoring data and each data index matching record of the local behavior data control mode of the target agricultural monitoring data according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data of multiple fertilization modes and the recorded global behavior data parameters, and adjusting the neighbor data index matching records of the data index matching records in the global behavior data control mode and the local behavior data control mode corresponding to the target agricultural monitoring data into the corresponding local behavior data control mode;
the method comprises the steps that a real-time global behavior data control mode of target agricultural monitoring data comprises measures of various data index matching records, the matching degree of all data index matching records of a real-time global behavior data control mode of the target agricultural monitoring data is determined according to the data index matching records of a local behavior data control mode of neighbor agricultural monitoring data of various fertilization modes and parameters of recorded global behavior data of the data index matching records, and all data index matching records of the real-time global behavior data control mode are divided according to the matching degree of all data index matching records;
setting a local behavior data control mode mark for each data index matching record obtained by the division according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data of various fertilization modes and the recorded global behavior data parameter thereof, and adjusting each data index matching record to the local behavior data control mode represented by the local behavior data control mode mark.
2. The method according to claim 1, wherein determining the matching degree between each data index matching record of the global behavior data control mode of the target agricultural monitoring data and each data index matching record of the local behavior data control mode of the target agricultural monitoring data according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data of a plurality of fertilization modes and the recorded global behavior data parameters thereof, and adjusting the neighbor data index matching records of the global behavior data control mode and the local behavior data control mode corresponding to the target agricultural monitoring data to the corresponding local behavior data control mode comprises:
calculating a record distribution vector between each data index matching record of the global behavior data control mode of the target agricultural monitoring data and the monitoring record of each data index matching record of the local behavior data control mode of the target agricultural monitoring data; respectively judging whether each recording distribution vector meets a first set vector, and adjusting the data index matching records of the global behavior data control mode of which the recording distribution vectors meet the first set vector to a corresponding local behavior data control mode; wherein, the monitoring record of the data index matching record is as follows: and according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data in various fertilization modes and the data index matching records counted by recording the global behavior data parameters, the data index matching records belong to the distribution measures of the local behavior data control mode marks.
3. The method of claim 1, wherein the determining the matching degree between the data index matching records of the real-time global behavior data control mode of the target agricultural monitoring data according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data of the multiple fertilization modes and the recorded global behavior data parameters thereof, and the dividing the data index matching records of the real-time global behavior data control mode according to the matching degree between the data index matching records comprises:
calculating a record distribution vector between monitoring records of each data index matching record of a real-time global behavior data control mode of the target agricultural monitoring data; for one data index matching record of a real-time global behavior data control mode of target agricultural monitoring data, dividing all data index matching records of which the data index matching record and the record distribution vector between the data index matching record and the monitoring record thereof meet a second set vector into a group; wherein, the monitoring record of the data index matching record is as follows: and according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data in various fertilization modes and the data index matching records counted by recording the global behavior data parameters, belonging to the distribution measures of the local behavior data control mode marks.
4. The method according to claim 1, 2 or 3, wherein the setting of the local behavior data control mode flag for each of the data index matching records obtained by the dividing according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data of a plurality of fertilization modes comprises:
and for a group of divided data index matching records, determining a distribution measure of a local behavior data control mode mark to which each data index matching record belongs according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data of the multiple fertilization modes, and setting the local behavior data control mode mark for the data index matching record according to the distribution measure.
5. The utility model provides a monitored control system based on agricultural thing networking which characterized in that, includes terminal equipment and monitoring device, terminal equipment with monitoring device communication connection, terminal equipment includes:
the record acquisition module is used for acquiring monitoring measure indexes of the target agricultural monitoring data and matching records of all data indexes;
the record adjusting module is used for determining the target agricultural monitoring data according to the monitoring measure indexes, wherein the target agricultural monitoring data comprises a local behavior data control mode, determining the matching degree between each data index matching record of the global behavior data control mode of the target agricultural monitoring data and each data index matching record of the local behavior data control mode of the target agricultural monitoring data according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data of multiple fertilization modes and the recorded global behavior data parameters, and adjusting the neighbor data index matching record of the global behavior data control mode corresponding to the target agricultural monitoring data and the data index matching record of the local behavior data control mode into the corresponding local behavior data control mode;
the system comprises a record dividing module, a data index matching module and a data index matching module, wherein the record dividing module is used for determining the matching degree of each data index matching record of the real-time global behavior data control mode of target agricultural monitoring data according to the data index matching record of the local behavior data control mode of neighbor agricultural monitoring data of various fertilization modes and the record global behavior data parameter thereof, and dividing each data index matching record of the real-time global behavior data control mode according to the matching degree of each data index matching record;
and the record setting module is used for setting a local behavior data control mode mark for each data index matching record obtained by division according to the data index matching record of the local behavior data control mode of the neighbor agricultural monitoring data in various fertilization modes and the recorded global behavior data parameter thereof, and adjusting each data index matching record to the local behavior data control mode represented by the local behavior data control mode mark.
6. The system of claim 5, wherein the terminal device comprises:
calculating a record distribution vector between each data index matching record of the global behavior data control mode of the target agricultural monitoring data and a monitoring record of each data index matching record of the local behavior data control mode of the target agricultural monitoring data; respectively judging whether each recording distribution vector meets a first set vector, and adjusting the data index matching records of the global behavior data control mode of which the recording distribution vectors meet the first set vector to a corresponding local behavior data control mode; wherein, the monitoring record of the data index matching record is as follows: and according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data in various fertilization modes and the data index matching records counted by recording the global behavior data parameters, the data index matching records belong to the distribution measures of the local behavior data control mode marks.
7. The system of claim 5, wherein the terminal device comprises:
calculating a record distribution vector between monitoring records of each data index matching record of a real-time global behavior data control mode of the target agricultural monitoring data; for a data index matching record of a real-time global behavior data control mode of target agricultural monitoring data, dividing all data index matching records of which the data index matching record and a record distribution vector between the data index matching record and a monitoring record of the data index matching record meet a second set vector into a group; wherein, the monitoring record of the data index matching record is as follows: and according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data in various fertilization modes and the data index matching records counted by recording the global behavior data parameters, the data index matching records belong to the distribution measures of the local behavior data control mode marks.
8. The system of claim 5, 6 or 7, wherein the terminal device comprises:
and for a group of divided data index matching records, determining a distribution measure of a local behavior data control mode mark to which each data index matching record belongs according to the data index matching records of the local behavior data control mode of the neighbor agricultural monitoring data of the plurality of fertilization modes, and setting the local behavior data control mode mark for the data index matching record according to the distribution measure.
9. A terminal device, comprising a processor and a memory communicating with each other, the processor being adapted to retrieve a computer program from the memory and to implement the method of any of claims 1-4 by running the computer program.
10. A computer-readable storage medium, on which a computer program is stored which, when executed, implements the method of any of claims 1-4.
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