CN115509285A - Agricultural greenhouse data processing method and system based on Internet of things - Google Patents
Agricultural greenhouse data processing method and system based on Internet of things Download PDFInfo
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- CN115509285A CN115509285A CN202211221041.4A CN202211221041A CN115509285A CN 115509285 A CN115509285 A CN 115509285A CN 202211221041 A CN202211221041 A CN 202211221041A CN 115509285 A CN115509285 A CN 115509285A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
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- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/25—Greenhouse technology, e.g. cooling systems therefor
Abstract
The invention relates to the technical field of agricultural greenhouses, and particularly discloses an agricultural greenhouse data processing method and system based on the Internet of things. The method comprises the steps of sending data acquisition instructions to a plurality of agricultural greenhouses, and acquiring a plurality of monitoring acquisition data; carrying out complete analysis, judging whether data loss exists or not, and determining the data loss type when the data loss exists; when the data loss type is greenhouse data loss, greenhouse loss data of the lost greenhouse are obtained by connecting the greenhouse; when the data deletion type is partial data deletion, acquiring partial deletion data of a deleted part through a connecting part; and carrying out classification and sorting of data and carrying out anomaly analysis. The method can perform deletion judgment and analysis while acquiring wireless monitoring acquisition data, determine the data deletion type, and acquire corresponding deletion data according to a wired communication mode, thereby ensuring that all monitoring data can be acquired at every data acquisition and enabling the abnormal analysis to be more complete and effective.
Description
Technical Field
The invention belongs to the technical field of agricultural greenhouses, and particularly relates to an agricultural greenhouse data processing method and system based on the Internet of things.
Background
The agricultural greenhouse is also called as a greenhouse, can transmit light and preserve heat, and is used for cultivating plants. In seasons unsuitable for plant growth, the method can provide the growth period of the greenhouse and increase the yield, and is mainly used for cultivating or raising seedlings of plants like warm vegetables, flowers and trees in low-temperature seasons. The types of greenhouses are various, and the greenhouses can be divided into a great number according to different roof truss materials, lighting materials, shapes, heating conditions and the like. The types of the greenhouse comprise a planting greenhouse, a breeding greenhouse, an exhibition greenhouse, an experiment greenhouse, a catering greenhouse, an entertainment greenhouse and the like; the greenhouse system comprises a heating system, a heat preservation system, a cooling system, a ventilation system, a control system, an irrigation system and the like.
Along with the application of internet of things in the agricultural greenhouse, the environment monitoring more convenient to the agricultural greenhouse can be effectively realized, the remote management of workers to the agricultural greenhouse is facilitated, however, due to the fact that the environment of the agricultural greenhouse is complex, sometimes, due to the fact that the environment, the network, the equipment and the like of partial internet of things equipment in the whole agricultural greenhouse or the agricultural greenhouse may cause network disconnection, corresponding monitoring data cannot be timely acquired, and corresponding data processing cannot be carried out.
Disclosure of Invention
The embodiment of the invention aims to provide an agricultural greenhouse data processing method and system based on the Internet of things, and aims to solve the problems in the background art.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
an agricultural greenhouse data processing method based on the Internet of things specifically comprises the following steps:
sending data acquisition instructions to a plurality of agricultural greenhouses wirelessly connected with the Internet of things, and acquiring monitoring acquisition data sent by the plurality of agricultural greenhouses;
completely analyzing the monitoring and collecting data, judging whether data loss exists or not, and determining the data loss type when the data loss exists;
when the data loss type is greenhouse data loss, marking a lost greenhouse and a connected greenhouse, and acquiring greenhouse lost data of the lost greenhouse through the connected greenhouse;
when the data deletion type is partial data deletion, marking a deletion part and a connection part, and acquiring partial deletion data of the deletion part through the connection part;
and synthesizing the missing data of the greenhouse, the partial missing data and the monitoring acquisition data, classifying and sorting the missing data of the greenhouse, the partial missing data and the monitoring acquisition data, and performing anomaly analysis.
As a further limitation of the technical solution of the embodiment of the present invention, the sending of the data acquisition instruction to the multiple agricultural greenhouses wirelessly connected to the internet of things and the obtaining of the monitoring acquisition data sent by the multiple agricultural greenhouses specifically include the following steps:
acquiring preset communication addresses of a plurality of agricultural greenhouses wirelessly connected with the Internet of things;
sending a data acquisition instruction to a plurality of preset communication addresses;
and acquiring monitoring acquisition data sent after the data of the plurality of agricultural greenhouses are acquired.
As a further limitation of the technical solution of the embodiment of the present invention, the completely analyzing the plurality of monitoring and collecting data, determining whether there is data loss, and determining the type of data loss when there is data loss specifically includes the following steps:
acquiring and analyzing a plurality of monitoring and collecting data to obtain corresponding acquisition addresses;
performing complete analysis according to the plurality of acquired addresses to generate a complete analysis result;
judging whether data are missing or not according to the complete analysis result;
and when the data loss exists, analyzing the data loss type according to the complete analysis result.
As a further limitation of the technical solution of the embodiment of the present invention, when the data loss type is greenhouse data loss, marking a missing greenhouse and a connected greenhouse, and acquiring greenhouse missing data of the missing greenhouse through the connected greenhouse specifically includes the following steps:
when the data loss type is greenhouse data loss, marking the lost greenhouse;
carrying out wired connection analysis of the Internet of things on the missing greenhouse, and marking the connected greenhouse with normal communication;
sending a greenhouse missing auxiliary instruction to the connected greenhouse;
and receiving greenhouse missing data sent by the connected greenhouse.
As a further limitation of the technical solution of the embodiment of the present invention, when the data loss type is partial data loss, marking a missing part and a connecting part, and acquiring partial missing data of the missing part through the connecting part specifically includes the following steps:
when the data missing type is partial data missing, marking a plurality of missing devices;
performing Internet of things wired connection analysis on the plurality of missing devices, and marking a plurality of normally-communicated connecting devices;
respectively sending corresponding equipment missing auxiliary instructions to a plurality of connected equipment;
and receiving the device missing data respectively sent by the plurality of connected devices.
As a further limitation of the technical solution of the embodiment of the present invention, the integrating the greenhouse missing data, the partial missing data, and the plurality of monitoring and collecting data to perform classification and sorting, and performing anomaly analysis specifically includes the following steps:
classifying and sorting the greenhouse missing data, the partial missing data and the plurality of monitoring and collecting data according to the category of the agricultural greenhouse to generate a plurality of greenhouse sorting data;
classifying and sorting the greenhouse sorting data according to equipment types to generate a plurality of equipment sorting data;
and carrying out abnormity analysis on the plurality of equipment arrangement data, and marking abnormal types and abnormal greenhouses.
The utility model provides an agricultural greenhouse data processing system based on thing networking, the system includes wireless data acquisition unit, data disappearance analysis unit, first disappearance acquisition unit, second disappearance acquisition unit and categorised arrangement analysis unit, wherein:
the wireless data acquisition unit is used for sending data acquisition instructions to the agricultural greenhouses wirelessly connected with the Internet of things and acquiring monitoring acquisition data sent by the agricultural greenhouses;
the data loss analysis unit is used for carrying out complete analysis on the monitoring and collecting data, judging whether data loss exists or not and determining the data loss type when the data loss exists;
the system comprises a first missing acquisition unit, a second missing acquisition unit and a third missing acquisition unit, wherein the first missing acquisition unit is used for marking a missing greenhouse and a connected greenhouse when the data missing type is greenhouse data missing, and acquiring greenhouse missing data of the missing greenhouse through the connected greenhouse;
a second deletion acquiring unit configured to mark a deleted portion and a connected portion and acquire partial deletion data of the deleted portion through the connected portion when the data deletion type is partial data deletion;
and the classification sorting and analyzing unit is used for synthesizing the greenhouse missing data, the partial missing data and the monitoring and collecting data to perform classification sorting and abnormal analysis.
As a further limitation of the technical solution of the embodiment of the present invention, the wireless data acquisition unit specifically includes:
the system comprises an address acquisition module, a communication module and a communication module, wherein the address acquisition module is used for acquiring preset communication addresses of a plurality of agricultural greenhouses wirelessly connected with the Internet of things;
the instruction sending module is used for sending a data acquisition instruction to the preset communication addresses;
and the acquisition module is used for acquiring monitoring acquisition data sent after the data of the plurality of agricultural greenhouses are acquired.
As a further limitation of the technical solution of the embodiment of the present invention, the data loss analysis unit specifically includes:
the acquisition analysis module is used for acquiring and analyzing a plurality of monitoring acquisition data to obtain corresponding acquisition addresses;
the complete analysis module is used for carrying out complete analysis according to the plurality of acquired addresses to generate a complete analysis result;
the missing judgment module is used for judging whether data missing exists or not according to the complete analysis result;
and the type analysis module is used for analyzing the data missing type according to the complete analysis result when the data missing exists.
As a further limitation of the technical solution of the embodiment of the present invention, the first missing acquiring unit specifically includes:
the missing marking module is used for marking the missing greenhouse when the data missing type is greenhouse data missing;
the connection analysis module is used for carrying out wired connection analysis of the Internet of things on the missing greenhouse and marking the connected greenhouse with normal communication;
the auxiliary sending module is used for sending a greenhouse missing auxiliary instruction to the connected greenhouse;
and the missing acquisition module is used for receiving the greenhouse missing data sent by the connected greenhouse.
Compared with the prior art, the invention has the beneficial effects that:
the embodiment of the invention sends data acquisition instructions to a plurality of agricultural greenhouses and acquires a plurality of monitoring acquisition data; carrying out complete analysis, judging whether data loss exists or not, and determining the data loss type when the data loss exists; when the data loss type is greenhouse data loss, greenhouse loss data of the lost greenhouse are obtained by connecting the greenhouse; when the data deletion type is partial data deletion, acquiring partial deletion data of a deleted part through a connecting part; and carrying out classification and sorting of data and carrying out anomaly analysis. The method can perform deletion judgment and analysis while acquiring wireless monitoring acquisition data, determine the data deletion type, and acquire corresponding deletion data according to a wired communication mode, thereby ensuring that all monitoring data can be acquired at every data acquisition and enabling the abnormal analysis to be more complete and effective.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 shows a flow chart of a method provided by an embodiment of the invention.
Fig. 2 is a flowchart illustrating acquiring monitoring acquisition data in the method according to the embodiment of the present invention.
Fig. 3 is a flowchart illustrating data missing determination analysis in the method according to the embodiment of the present invention.
Fig. 4 shows a flowchart for acquiring missing data of a greenhouse in the method provided by the embodiment of the present invention.
Fig. 5 shows a flowchart for acquiring partially missing data in the method provided by the embodiment of the present invention.
Fig. 6 shows a flowchart of sorting and sorting exception analysis in the method provided by the embodiment of the present invention.
Fig. 7 shows an application architecture diagram of a system provided by an embodiment of the invention.
Fig. 8 shows a block diagram of a wireless data acquisition unit in the system according to the embodiment of the present invention.
Fig. 9 shows a block diagram of a data loss analysis unit in the system according to the embodiment of the present invention.
Fig. 10 shows a block diagram of a first missing acquisition unit in the system according to the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It can be understood that, in the prior art, because the environment of the agricultural greenhouse is complex, sometimes, the network may be disconnected due to reasons such as the environment, the network, the equipment and the like of the whole agricultural greenhouse or a part of internet of things equipment in the agricultural greenhouse, so that corresponding monitoring data cannot be obtained in time, and corresponding data processing cannot be performed.
In order to solve the problems, the embodiment of the invention sends data acquisition instructions to a plurality of agricultural greenhouses and acquires a plurality of monitoring acquisition data; carrying out complete analysis, judging whether data loss exists or not, and determining the data loss type when the data loss exists; when the data loss type is greenhouse data loss, greenhouse loss data of the lost greenhouse are obtained by connecting the greenhouse; when the data deletion type is partial data deletion, acquiring partial deletion data of a deleted part through a connecting part; and carrying out classification and sorting of data and carrying out anomaly analysis. The method and the device can perform missing judgment and analysis while acquiring wireless monitoring acquisition data, determine the data missing type, and acquire corresponding missing data according to a wired communication mode, thereby ensuring that all monitoring data can be acquired by data acquisition at every time, and enabling the anomaly analysis to be more complete and effective.
Fig. 1 shows a flow chart of a method provided by an embodiment of the invention.
Specifically, the agricultural greenhouse data processing method based on the Internet of things comprises the following steps:
step S101, sending data acquisition instructions to a plurality of agricultural greenhouses wirelessly connected with the Internet of things, and acquiring monitoring acquisition data sent by the plurality of agricultural greenhouses.
In the embodiment of the invention, in a scene that the internet of things technology is applied to agricultural greenhouses, the agricultural greenhouses are generally in wireless connection through the internet of things, each agricultural greenhouse is provided with a plurality of data acquisition devices connected with the internet of things, environmental factors such as air temperature, humidity, soil temperature and humidity, illumination and the like in the agricultural greenhouses are monitored and acquired, when data acquisition and analysis are needed, data acquisition instructions are sent to the agricultural greenhouses wirelessly connected with the internet of things according to preset communication addresses corresponding to the agricultural greenhouses, after the agricultural greenhouses receive the data acquisition instructions, acquisition data corresponding to the data acquisition devices in the greenhouses are acquired, monitoring acquisition data are generated and are sent in a unified feedback mode, and the monitoring acquisition data sent by the agricultural greenhouses respectively can be acquired at the moment.
Specifically, fig. 2 shows a flowchart for acquiring monitoring acquisition data in the method provided by the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the sending a data acquisition instruction to a plurality of agricultural greenhouses wirelessly connected to the internet of things and acquiring monitoring acquisition data sent by the plurality of agricultural greenhouses specifically includes the following steps:
step S1011, obtaining preset communication addresses of a plurality of agricultural greenhouses wirelessly connected with the Internet of things.
Step S1012, sending a data acquisition command to a plurality of preset communication addresses.
And S1013, acquiring monitoring acquisition data sent after a plurality of agricultural greenhouse data are acquired.
Further, the agricultural greenhouse data processing method based on the Internet of things further comprises the following steps:
and S102, carrying out complete analysis on a plurality of monitoring and collecting data, judging whether data loss exists or not, and determining the data loss type when the data loss exists.
In the embodiment of the invention, the acquisition addresses corresponding to each piece of data are acquired by analyzing the addresses of the monitoring acquisition data, whether the data acquisition of all the data acquisition equipment in all the agricultural greenhouses is finished is judged by analyzing the acquisition addresses, when the data acquisition of all the data acquisition equipment in all the agricultural greenhouses is not finished, the data loss is indicated, the loss degree is analyzed at the moment, and the corresponding data loss type is determined by analyzing according to the difference of the loss degree, specifically: if the data is missing data collected by all the data collecting devices in a certain agricultural greenhouse, the data missing type is greenhouse data missing; and if the missing data is data acquired by part of data acquisition equipment in the agricultural greenhouse, the data missing type is partial data missing.
Specifically, fig. 3 shows a flowchart of data missing determination analysis in the method provided by the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the completely analyzing the multiple monitoring and collecting data, determining whether there is data missing, and determining the type of the data missing when there is data missing specifically includes the following steps:
and step S1021, acquiring and analyzing the monitoring and collecting data to obtain corresponding acquiring addresses.
Step S1022, perform a complete analysis according to the multiple acquired addresses, and generate a complete analysis result.
And S1023, judging whether data are missing or not according to the complete analysis result.
And step S1024, analyzing the data missing type according to the complete analysis result when the data missing exists.
Further, the agricultural greenhouse data processing method based on the Internet of things further comprises the following steps:
and S103, when the data loss type is greenhouse data loss, marking the lost greenhouse and the connected greenhouse, and acquiring greenhouse lost data of the lost greenhouse through the connected greenhouse.
In the embodiment of the invention, when the data loss type is greenhouse data loss, the agricultural greenhouses with data lost acquired by all data acquisition devices are marked as missing greenhouses, as wired communication channels exist among the agricultural greenhouses, greenhouse connection instructions can be sent to a plurality of agricultural greenhouses keeping wireless connection of the Internet of things, the agricultural greenhouses capable of normally performing wired communication with the missing greenhouses are determined by obtaining greenhouse connection feedback sent by the agricultural greenhouses, the agricultural greenhouses are marked as connected greenhouses, greenhouse missing auxiliary instructions are sent to the connected greenhouses, after the connected greenhouses receive the greenhouse missing auxiliary instructions, greenhouse data acquisition instructions can be sent to the missing greenhouses through the wired communication channels between the connected greenhouses, the missing greenhouses can acquire data acquired by all the data acquisition devices of the missing greenhouses at the moment, greenhouse missing data are generated, the greenhouse missing data are sent to the connected greenhouses through the wired communication channels, and then the greenhouse missing data are uploaded through the normal wireless communication channels of the Internet of things, and further the greenhouse missing data sent by the connected greenhouses can be acquired.
Specifically, fig. 4 shows a flowchart for acquiring missing data of a greenhouse in the method provided by the embodiment of the present invention.
In an embodiment of the present invention, when the data loss type is greenhouse data loss, marking a missing greenhouse and a connected greenhouse, and acquiring greenhouse missing data of the missing greenhouse through the connected greenhouse specifically includes the following steps:
and step S1031, when the data loss type is greenhouse data loss, marking the lost greenhouse.
And S1032, carrying out Internet of things wired connection analysis on the missing greenhouse, and marking the connecting greenhouse for normal communication.
And step S1033, sending a greenhouse missing auxiliary instruction to the connected greenhouse.
And S1034, receiving greenhouse missing data sent by the connected greenhouse.
Further, the agricultural greenhouse data processing method based on the Internet of things further comprises the following steps:
and step S104, when the data missing type is partial data missing, marking the missing part and the connecting part, and acquiring partial missing data of the missing part through the connecting part.
In the embodiment of the invention, when the data loss type is partial data loss, a plurality of data acquisition devices which do not transmit data are determined by analyzing a plurality of acquisition addresses, the data acquisition devices are all marked as the missing devices, an agricultural greenhouse with the missing devices is determined, device connection instructions are transmitted to other data acquisition devices which normally keep wireless connection with the internet of things in the agricultural greenhouse, the data acquisition devices which can respectively perform normal wired communication with the missing devices are determined by acquiring device connection feedback transmitted by the data acquisition devices, the data acquisition devices are marked as the connection devices, the device missing auxiliary instructions are transmitted to the connection devices by the connection devices, the connection devices can transmit device data acquisition instructions to the missing devices through wired communication channels between the connection devices and the corresponding missing devices after receiving the corresponding device missing auxiliary instructions, the missing devices transmit device data acquisition instructions to the corresponding connection devices through the wired communication channels after monitoring and acquisition, the connection devices transmit the missing data of the devices to the corresponding connection devices through the normal wireless communication channels, and then transmit the missing data of the agricultural greenhouse to the wireless communication devices, and the agricultural greenhouse which the missing devices are further capable of acquiring the data.
Specifically, fig. 5 shows a flowchart for acquiring partial missing data in the method provided by the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the marking a missing part and a connecting part when the data loss type is partial data loss, and acquiring partial missing data of the missing part through the connecting part specifically includes the following steps:
in step S1041, when the data loss type is partial data loss, marking a plurality of missing devices.
Step S1042, carrying out Internet of things wired connection analysis on the missing devices, and marking the connecting devices in normal communication.
Step S1043, sending a corresponding device missing assist instruction to each of the plurality of connected devices.
Step S1044 is to receive the device missing data respectively sent by the multiple connected devices.
Further, the agricultural greenhouse data processing method based on the Internet of things further comprises the following steps:
and S105, integrating the missing data of the greenhouse, the partial missing data and the monitoring and collecting data, classifying and sorting, and performing anomaly analysis.
In the embodiment of the invention, greenhouse missing data, part of missing data and monitoring collected data are classified and sorted according to the category of an agricultural greenhouse to generate a plurality of greenhouse sorting data, the greenhouse sorting data are subdivided and classified according to the equipment category to generate a plurality of equipment sorting data, the equipment sorting data are subjected to abnormity analysis by acquiring a corresponding standard data range, and an abnormal type and an abnormal greenhouse are marked when data abnormity exists.
Specifically, fig. 6 shows a flowchart of sorting and sorting exception analysis in the method provided in the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the integrating the greenhouse missing data, the partial missing data, and the multiple monitoring and collecting data to classify and sort, and performing anomaly analysis specifically includes the following steps:
and S1051, classifying and sorting the greenhouse missing data, the partial missing data and the monitoring and collecting data according to the category of the agricultural greenhouse to generate a plurality of greenhouse sorting data.
And step S1052, classifying and sorting the greenhouse sorting data according to the equipment types to generate a plurality of equipment sorting data.
And S1053, carrying out anomaly analysis on the plurality of equipment arrangement data, and marking an anomaly type and an anomaly greenhouse.
Further, fig. 7 is a diagram illustrating an application architecture of the system according to the embodiment of the present invention.
In another preferred embodiment, the present invention provides an internet of things-based agricultural greenhouse data processing system, including:
and the wireless data acquisition unit 101 is used for sending data acquisition instructions to the agricultural greenhouses wirelessly connected with the Internet of things and acquiring monitoring acquisition data sent by the agricultural greenhouses.
In the embodiment of the invention, in a scene that the internet of things technology is applied to agricultural greenhouses, the agricultural greenhouses are generally in wireless connection through the internet of things, each agricultural greenhouse is provided with a plurality of data acquisition devices connected through the internet of things, environmental factors such as air temperature, humidity, soil temperature, humidity and illumination in the agricultural greenhouses are monitored and acquired, when data acquisition and analysis are needed, the wireless data acquisition unit 101 sends data acquisition instructions to the agricultural greenhouses wirelessly connected through the internet of things according to preset communication addresses corresponding to the agricultural greenhouses, the agricultural greenhouses acquire acquisition data corresponding to the data acquisition devices in the greenhouses after receiving the data acquisition instructions, monitoring acquisition data are generated and fed back and sent uniformly, and the monitoring acquisition data respectively sent by the agricultural greenhouses can be acquired at the moment.
Specifically, fig. 8 shows a block diagram of a wireless data acquisition unit 101 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the wireless data acquisition unit 101 specifically includes:
the address acquisition module 1011 is configured to acquire preset communication addresses of the multiple internet of things wirelessly connected agricultural greenhouses.
And an instruction sending module 1012, configured to send a data acquisition instruction to the plurality of preset communication addresses.
And the acquisition module 1013 is configured to acquire monitoring acquisition data sent after the data of the multiple agricultural greenhouses are acquired.
Further, the agricultural greenhouse data processing system based on the internet of things further comprises:
and the data missing analysis unit 102 is configured to perform complete analysis on the multiple monitoring acquisition data, determine whether data missing exists, and determine a data missing type when data missing exists.
In the embodiment of the present invention, the data loss analysis unit 102 obtains the obtaining address corresponding to each piece of data by analyzing the addresses of the plurality of monitoring collected data, and determines whether to complete data obtaining for all data collection devices in all agricultural greenhouses by analyzing the plurality of obtaining addresses, and when data obtaining for all data collection devices in all agricultural greenhouses is not completed, it indicates that there is data loss, and at this time, performs analysis of the loss degree, and analyzes and determines the corresponding data loss type according to the difference of the loss degree, specifically: if the missing data is the data acquired by all the data acquisition equipment in a certain agricultural greenhouse, the data missing type is greenhouse data missing; and if the missing data is data acquired by part of data acquisition equipment in the agricultural greenhouse, the data missing type is partial data missing.
Specifically, fig. 9 shows a block diagram of a data loss analysis unit 102 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the data loss analyzing unit 102 specifically includes:
and an acquisition and analysis module 1021, configured to perform acquisition and analysis on the multiple monitoring and acquisition data to obtain a corresponding acquisition address.
The complete analysis module 1022 is configured to perform complete analysis according to the multiple acquired addresses, so as to generate a complete analysis result.
And a missing judgment module 1023, configured to judge whether there is data missing according to the complete analysis result.
And a type analysis module 1024, configured to analyze a data missing type according to the complete analysis result when there is data missing.
Further, the agricultural greenhouse data processing system based on the internet of things further comprises:
the first missing acquisition unit 103 is configured to mark a missing greenhouse and a connected greenhouse when the data missing type is greenhouse data missing, and acquire greenhouse missing data of the missing greenhouse through the connected greenhouse.
In the embodiment of the invention, when the data loss type is greenhouse data loss, the first loss acquisition unit 103 marks an agricultural greenhouse with all data acquired by data acquisition equipment lost as a lost greenhouse, because a wired communication channel exists between the agricultural greenhouses, a greenhouse connection instruction can be sent to a plurality of agricultural greenhouses which keep wireless connection with the internet of things, the agricultural greenhouse which can normally perform wired communication with the lost greenhouse is determined by acquiring greenhouse connection feedback sent by the plurality of agricultural greenhouses, the agricultural greenhouse is marked as a connected greenhouse, a greenhouse loss auxiliary instruction is sent to the connected greenhouse, after the connected greenhouse receives the greenhouse loss auxiliary instruction, the greenhouse data acquisition instruction can be sent to the lost greenhouse through the wired communication channel between the connected greenhouse and the lost greenhouse, at the moment, the data acquired by all data acquisition equipment of the lost greenhouse is acquired by the lost greenhouse, greenhouse loss data is generated, the greenhouse loss data is sent to the connected greenhouse through the wired communication channel, the greenhouse loss data is uploaded through the normal wireless communication channel of the internet of things, and then the first loss acquisition unit 103 can acquire the greenhouse loss data transmitted by the connected greenhouse.
Specifically, fig. 10 shows a block diagram of a first missing acquiring unit 103 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the first deletion acquiring unit 103 specifically includes:
and a missing marking module 1031, configured to mark a missing greenhouse when the data missing type is greenhouse data missing.
And the connection analysis module 1032 is used for carrying out internet of things wired connection analysis on the missing greenhouse and marking the connection greenhouse with normal communication.
And the auxiliary sending module 1033 is configured to send a greenhouse missing auxiliary instruction to the connected greenhouse.
The missing acquisition module 1034 is configured to receive greenhouse missing data sent by the connected greenhouse.
Further, agriculture big-arch shelter data processing system based on thing networking still includes:
a second missing acquiring unit 104, configured to mark a missing part and a connecting part when the data missing type is partial data missing, and acquire partial missing data of the missing part through the connecting part.
In the embodiment of the invention, when the data loss type is partial data loss, the second loss acquisition unit 104 determines a plurality of data acquisition devices which do not send data through analysis of a plurality of acquisition addresses, and marks all the data acquisition devices as loss devices, by determining an agricultural greenhouse with a plurality of loss devices, sends a device connection instruction to other data acquisition devices which normally maintain wireless connection with the internet of things in the agricultural greenhouse, and by acquiring device connection feedback sent by the plurality of data acquisition devices, determines data acquisition devices which can respectively perform normal wired communication with the plurality of loss devices, and marks the data acquisition devices as connection devices, by sending device loss auxiliary instructions to the plurality of connection devices, after receiving the corresponding device loss auxiliary instructions, the plurality of connection devices can send device data acquisition instructions to the plurality of loss devices through wired communication channels between the plurality of connection devices and the corresponding loss devices, at this time, after monitoring and collecting the plurality of loss devices, the plurality of device loss data are sent to the corresponding connection devices through the wired communication channels, and then the plurality of data acquisition devices are sent to the corresponding loss devices through the normal wireless communication channels, and the plurality of data acquisition devices of the agricultural greenhouse are further capable of acquiring the plurality of data of the plurality of data acquisition devices, and the plurality of the data acquisition devices are further uploaded by the plurality of the agricultural greenhouse.
And the classification sorting and analyzing unit 105 is used for performing classification sorting by integrating the greenhouse missing data, the partial missing data and the monitoring and collecting data and performing anomaly analysis.
In the embodiment of the invention, the sorting and analyzing unit 105 sorts and arranges the greenhouse missing data, part of the missing data and the monitoring and collecting data according to the category of the agricultural greenhouse to generate a plurality of greenhouse arrangement data, further classifies and arranges the greenhouse arrangement data into a plurality of pieces according to the equipment category to generate a plurality of pieces of equipment arrangement data, analyzes the abnormality of the equipment arrangement data by acquiring the corresponding standard data range, and marks the abnormal type and the abnormal greenhouse when the data abnormality exists.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least a portion of sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is specific and detailed, but not to be understood as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent should be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. An agricultural greenhouse data processing method based on the Internet of things is characterized by specifically comprising the following steps:
sending data acquisition instructions to a plurality of agricultural greenhouses wirelessly connected with the Internet of things, and acquiring monitoring acquisition data sent by the plurality of agricultural greenhouses;
completely analyzing the monitoring and collecting data, judging whether data loss exists or not, and determining the data loss type when the data loss exists;
when the data loss type is greenhouse data loss, marking a lost greenhouse and a connected greenhouse, and acquiring greenhouse lost data of the lost greenhouse through the connected greenhouse;
when the data deletion type is partial data deletion, marking a deletion part and a connection part, and acquiring partial deletion data of the deletion part through the connection part;
and synthesizing the missing data of the greenhouse, the partial missing data and the monitoring acquisition data, classifying and sorting the missing data of the greenhouse, the partial missing data and the monitoring acquisition data, and performing anomaly analysis.
2. The method for processing the agricultural greenhouse data based on the internet of things as claimed in claim 1, wherein the step of sending data acquisition instructions to the plurality of agricultural greenhouses wirelessly connected with the internet of things and acquiring monitoring acquisition data sent by the plurality of agricultural greenhouses specifically comprises the following steps:
acquiring preset communication addresses of a plurality of agricultural greenhouses wirelessly connected with the Internet of things;
sending a data acquisition instruction to a plurality of preset communication addresses;
and acquiring monitoring acquisition data sent after the data of the plurality of agricultural greenhouses are acquired.
3. The agricultural greenhouse data processing method based on the internet of things as claimed in claim 1, wherein the step of completely analyzing the monitoring and collecting data, judging whether data loss exists or not, and determining the data loss type when the data loss exists specifically comprises the following steps:
acquiring and analyzing a plurality of monitoring and collecting data to obtain corresponding acquiring addresses;
performing complete analysis according to the plurality of acquired addresses to generate a complete analysis result;
judging whether data are missing or not according to the complete analysis result;
and when the data loss exists, analyzing the data loss type according to the complete analysis result.
4. The internet of things-based agricultural greenhouse data processing method according to claim 1, wherein when the data loss type is greenhouse data loss, the missing greenhouse and the connected greenhouse are marked, and the step of acquiring greenhouse missing data of the missing greenhouse through the connected greenhouse specifically comprises the following steps:
when the data loss type is greenhouse data loss, marking the lost greenhouse;
carrying out wired connection analysis of the Internet of things on the missing greenhouse, and marking the connected greenhouse in normal communication;
sending a greenhouse missing auxiliary instruction to a connected greenhouse;
and receiving greenhouse missing data sent by the connected greenhouse.
5. The internet of things-based agricultural greenhouse data processing method according to claim 1, wherein when the data loss type is partial data loss, the missing part and the connecting part are marked, and the step of acquiring partial missing data of the missing part through the connecting part specifically comprises the following steps:
when the data missing type is partial data missing, marking a plurality of missing devices;
performing Internet of things wired connection analysis on the plurality of missing devices, and marking a plurality of normally-communicated connecting devices;
respectively sending corresponding equipment missing auxiliary instructions to a plurality of connected equipment;
and receiving the device missing data respectively sent by the plurality of connected devices.
6. The agricultural greenhouse data processing method based on the internet of things as claimed in claim 5, wherein the step of integrating the greenhouse missing data, the partial missing data and the monitoring acquisition data for classification and sorting and performing anomaly analysis specifically comprises the following steps:
classifying and sorting the greenhouse missing data, the partial missing data and the monitoring and collecting data according to the category of the agricultural greenhouse to generate a plurality of greenhouse sorting data;
classifying and sorting the greenhouse sorting data according to equipment types to generate a plurality of equipment sorting data;
and carrying out exception analysis on the plurality of equipment arrangement data, and marking exception types and exception greenhouses.
7. The utility model provides an agricultural greenhouse data processing system based on thing networking, a serial communication port, the system includes wireless data acquisition unit, data disappearance analysis unit, first disappearance acquisition unit, second disappearance acquisition unit and categorised arrangement analysis unit, wherein:
the wireless data acquisition unit is used for sending data acquisition instructions to the agricultural greenhouses wirelessly connected with the Internet of things and acquiring monitoring acquisition data sent by the agricultural greenhouses;
the data loss analysis unit is used for carrying out complete analysis on the monitoring and collecting data, judging whether data loss exists or not and determining the data loss type when the data loss exists;
the system comprises a first missing acquisition unit, a second missing acquisition unit and a third missing acquisition unit, wherein the first missing acquisition unit is used for marking a missing greenhouse and a connected greenhouse when the data missing type is greenhouse data missing, and acquiring greenhouse missing data of the missing greenhouse through the connected greenhouse;
a second deletion acquiring unit configured to mark a deleted portion and a connected portion and acquire partial deletion data of the deleted portion through the connected portion when the data deletion type is partial data deletion;
and the classification sorting and analyzing unit is used for synthesizing the greenhouse missing data, the partial missing data and the monitoring and collecting data to perform classification sorting and abnormal analysis.
8. The internet of things-based agricultural greenhouse data processing system of claim 7, wherein the wireless data acquisition unit specifically comprises:
the system comprises an address acquisition module, a communication module and a communication module, wherein the address acquisition module is used for acquiring preset communication addresses of a plurality of agricultural greenhouses wirelessly connected with the Internet of things;
the instruction sending module is used for sending a data acquisition instruction to the preset communication addresses;
and the acquisition module is used for acquiring monitoring acquisition data sent after the data of the plurality of agricultural greenhouses are acquired.
9. The Internet of things-based agricultural greenhouse data processing system of claim 7, wherein the data loss analysis unit specifically comprises:
the acquisition analysis module is used for acquiring and analyzing a plurality of monitoring acquisition data to obtain corresponding acquisition addresses;
the complete analysis module is used for carrying out complete analysis according to the plurality of acquired addresses to generate a complete analysis result;
the missing judgment module is used for judging whether data are missing or not according to the complete analysis result;
and the type analysis module is used for analyzing the data missing type according to the complete analysis result when the data missing exists.
10. The internet of things-based agricultural greenhouse data processing system of claim 7, wherein the first missing acquisition unit specifically comprises:
the missing marking module is used for marking the missing greenhouse when the data missing type is greenhouse data missing;
the connection analysis module is used for carrying out internet of things wired connection analysis on the missing greenhouse and marking the connected greenhouse with normal communication;
the auxiliary sending module is used for sending a greenhouse missing auxiliary instruction to the connected greenhouse;
and the missing acquisition module is used for receiving the greenhouse missing data sent by the connected greenhouse.
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