CN116562813A - Intelligent agriculture integrated management system based on agriculture internet of things - Google Patents
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- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 9
- 239000001569 carbon dioxide Substances 0.000 claims description 9
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Abstract
The invention discloses an intelligent agricultural integrated management system based on an agricultural Internet of things, relates to the technical field of intelligent agricultural integrated management, and solves the technical problem that in the prior art, a planting area cannot be subjected to time-period environmental control quantity analysis in the agricultural planting process, so that the environmental control efficiency of each time period cannot be ensured to be qualified; the method analyzes the control quantity of the agricultural planting area in a time-sharing manner, judges whether the real-time environment control of crops in the agricultural planting area is qualified, monitors the planting process of the crops, ensures the planting efficiency of the agricultural planting area, and improves the control efficiency of the real-time environment; and the crop influence analysis is also carried out in the agricultural planting area, and whether the influence of the real-time product on the environment in the planting process is normal or not is judged, so that the real-time planting environment of the crops is ensured to meet the requirements, and meanwhile, the real-time planting environment influence of the crops can be monitored, so that the planting efficiency of the crops is improved.
Description
Technical Field
The invention relates to the technical field of intelligent agricultural integrated management, in particular to an intelligent agricultural integrated management system based on the Internet of things of agriculture.
Background
The agriculture is the industry of obtaining products by utilizing the growth and development rules of animals and plants and through artificial cultivation, the agriculture belongs to the first industry, the science of researching agriculture is agronomic, the labor object of agriculture is living animals and plants, the obtained products are the animals and plants themselves, and the agricultural planting is the production activity of producing crops such as grain crops, economic crops, feed crops, green manure and the like;
however, in the prior art, the time-period environmental control quantity analysis cannot be performed on the planting area in the agricultural planting process, so that the environmental control efficiency of each time period cannot be ensured to be qualified, the crop planting efficiency cannot be ensured, and meanwhile, the analysis and control cannot be performed on crop products, so that the environmental control efficiency is deviated;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides an intelligent agricultural integrated management system based on the agricultural Internet of things, which is used for monitoring the control efficiency of an influence time period in a planting time period, judging whether the control efficiency is qualified when the influence of the real-time planted crops on the environment exists or not so as to ensure the rationality of the real-time environment of the planted crops, ensure the planting efficiency of the planted crops, detect the environmental control of the planted crops, prevent the environmental control efficiency of the crops from being low, influence the planting quality of the crops, analyze the influence of adjacent periods of agricultural planting areas on the type of the crops, and judge whether the corresponding influence of the adjacent planted crops is normal or not.
The aim of the invention can be achieved by the following technical scheme: the utility model provides an wisdom agriculture integrated management system based on agricultural thing networking, includes the server, and the server communication is connected with:
the time-interval control quantity analysis unit is used for carrying out time-interval control quantity analysis on the agricultural planting area, judging whether the control quantity analysis of the agricultural planting area is normal or not, generating a time-interval control quantity qualified signal after the analysis is normal, and sending the time-interval control quantity qualified signal to the server;
after receiving the qualified signals of the time-division control quantity, the server performs crop influence analysis on the agricultural planting area by the influence node supervision unit, marks the planted crops in the real-time agricultural planting area as analysis objects, generates product influence signals or product influence-free signals according to the influence analysis of the analysis objects, acquires influence time periods and sends the influence time periods to the server;
the node control efficiency monitoring unit is used for monitoring the control efficiency of the influence time period in the planting time period and judging whether the control of the influence time period in the agricultural planting area is normal or not;
and the adjacent period influence analysis unit is used for analyzing the influence of the corresponding crop types on the adjacent period of the agricultural planting area and selecting the crop types planted in the adjacent period through the crop type influence analysis.
As a preferred embodiment of the present invention, the operation of the time-lapse controlled variable analysis unit is as follows:
the method comprises the steps of acquiring an agricultural planting area, collecting environmental information of the agricultural planting area, setting an environmental information monitoring time period including sub-data such as temperature, humidity and oxygen content, dividing the environmental information monitoring time period into i sub-time periods, wherein i is a natural number larger than 1, taking the first and last time points of the sub-time periods as X-axis nodes, taking an X axis as time amount, taking the numerical value of the sub-data in the environmental information as a Y axis, collecting the numerical value of the sub-data in the environmental information monitoring time period, substituting the numerical value into a coordinate system, and constructing a numerical curve of corresponding sub-data according to the numerical values of different sub-time periods.
As a preferred embodiment of the present invention, according to a numerical curve of sub-data in the environmental information, a numerical control amount of sub-data in a same sub-time period in the environmental information monitoring time period and a time period duty ratio of sub-data in the environmental information monitoring time period in which the numerical value of the sub-data does not fall within a preset range are obtained, and compared with a numerical control amount threshold and a time period duty ratio threshold, respectively:
if the numerical control quantity of the sub-data in the sub-time period in the environmental information monitoring time period exceeds a numerical control quantity threshold value, and the time length proportion in the range where the numerical value of the sub-data in the environmental information monitoring time period does not exceed the time length proportion threshold value, generating a time-period control quantity qualified signal and sending the time-period control quantity qualified signal to a server;
if the numerical control quantity of the sub-data in the sub-time period in the environmental information monitoring time period does not exceed the numerical control quantity threshold, or if the time length proportion in the sub-data numerical value in the environmental information monitoring time period in the preset range exceeds the time length proportion threshold, generating a time-period control quantity disqualification signal and sending the time-period control quantity disqualification signal to a server.
As a preferred embodiment of the present invention, the operation process of the influencing node supervision unit is as follows:
collecting real-time products in the planting process of the analysis object, such as carbon dioxide generated by plants in the planting process, if the content of the real-time products of the analysis object is increased and the sub-data in the environmental information where the analysis object is located floats, marking the real-time products as sub-data influence products, and if the real-time products are carbon dioxide, the content of the carbon dioxide rises and the concentration of oxygen in the environmental information floats;
the method comprises the steps of collecting the number of sub-data with numerical value floating when the content of the real-time product of an analysis object in a real-time agricultural planting area is increased and the average span of the numerical value floating when the content of the real-time product of the analysis object in the real-time agricultural planting area is increased, and comparing the number of sub-data with the threshold value of the number of sub-data and the threshold value of the average span of the numerical value floating when the content of the real-time product of the analysis object in the real-time agricultural planting area is increased respectively:
if the number of the sub-data with the numerical value floating when the content of the real-time product corresponding to the analysis object in the real-time agricultural planting area is increased exceeds a threshold value of the number of the sub-data or the average span of the numerical value floating corresponding to the sub-data exceeds a threshold value of the numerical value floating average span, generating a product influence signal, marking the corresponding planting time period as an influence time period, and transmitting the influence time period and the product influence signal to a server together;
if the number of the sub-data with the numerical value floating does not exceed the threshold value of the number of the sub-data when the content of the real-time product corresponding to the analysis object in the real-time agricultural planting area is increased and the average span of the numerical value floating of the corresponding sub-data does not exceed the threshold value of the numerical value floating average span, generating a product no-influence signal, marking the corresponding planting time period as a non-influence time period, and transmitting the non-influence time period and the product no-influence signal to a server.
As a preferred embodiment of the present invention, the node control efficiency monitoring unit operates as follows:
the method comprises the steps of collecting the instantaneous increment of a corresponding sub-data control quantity in an influence time period and a history adjacent time period and the buffer time length of the sub-data numerical control in the influence time period, and comparing the instantaneous increment of the corresponding sub-data control quantity in the influence time period and the history adjacent time period and the buffer time length of the sub-data numerical control in the influence time period with an instantaneous increment threshold and a buffer time length threshold respectively:
if the instantaneous increment of the corresponding sub-data control quantity in the influence time period and the historical adjacent time period exceeds the instantaneous increment threshold, and the buffer time of the sub-data numerical control in the influence time period does not exceed the buffer time threshold, judging that the control efficiency monitoring is normal in the influence time period, generating a control efficiency qualified signal and transmitting the control efficiency qualified signal to a server;
if the instantaneous increment of the corresponding sub-data control quantity in the influence time period and the historical adjacent time period does not exceed the instantaneous increment threshold, or the buffer time of the sub-data numerical control in the influence time period exceeds the buffer time threshold, judging that the control efficiency monitoring in the influence time period is abnormal, generating a control efficiency unqualified signal and sending the control efficiency unqualified signal to a server.
As a preferred embodiment of the invention, the operation of the adjacent cycle impact analysis unit is as follows:
the method comprises the steps of collecting the maximum required environment control quantity difference value of crops planted in adjacent periods in an agricultural planting area and the sub-data numerical value floating quantity of the real-time products of the crops planted in the adjacent periods corresponding to the crop environments in different periods, and comparing the sub-data numerical value floating quantity with a maximum required environment control quantity difference value threshold and a sub-data numerical value floating quantity threshold respectively:
if the maximum demand environment control difference value of the adjacent period planted crops in the agricultural planting area exceeds the maximum demand environment control difference value threshold value, or the sub-data value floating quantity of the real-time product of the adjacent period planted crops corresponding to the non-same period crop environment exceeds the sub-data value floating quantity threshold value, judging that the adjacent period influence analysis is abnormal in the agricultural planting area, generating an adjacent period influence abnormal signal and sending the adjacent period influence abnormal signal to a server;
if the maximum demand environment control quantity difference value of the adjacent period planted crops in the agricultural planting area does not exceed the maximum demand environment control quantity difference value threshold value and the sub-data value floating quantity of the real-time product of the adjacent period planted crops corresponding to the non-same period crop environment does not exceed the sub-data value floating quantity threshold value, judging that the adjacent period influence analysis in the agricultural planting area is normal, generating an adjacent period influence normal signal and sending the adjacent period influence normal signal to a server.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, the agricultural planting area is subjected to time-period control quantity analysis, and whether the real-time environment control of crops in the agricultural planting area is qualified or not is judged, so that the planting process of the crops is monitored, the planting efficiency of the agricultural planting area is ensured, and the control efficiency of the real-time environment is improved; crop influence analysis is performed in the agricultural planting area, whether the influence of real-time products on the environment in the planting process of crops is normal is judged, so that the real-time planting environment of the crops is guaranteed to meet the requirements, the influence of the real-time planting environment of the crops can be monitored, and the planting efficiency of the crops is improved.
2. According to the invention, the control efficiency monitoring is carried out on the influence time period in the planting time period, and whether the control efficiency is qualified or not is judged when the influence of the real-time crop planting on the environment exists, so that the rationality of the real-time environment of the crop planting is ensured, the planting efficiency of the crop planting is ensured, the environment control of the crop planting is detected, the low control efficiency of the environment of the crop is prevented, and the planting quality of the crop is prevented from being influenced; the influence of the adjacent period of the agricultural planting area on the crop type is analyzed, whether the corresponding influence of the adjacent planted crop is normal or not is judged, the deviation of the planting efficiency of the adjacent period caused by different requirements of the crop is prevented, and meanwhile, the input cost of the crop in the adjacent period is prevented from being uncontrollable, so that the planting efficiency is reduced.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a schematic block diagram of an intelligent agriculture integrated management system based on the agriculture Internet of things.
Detailed Description
In order to make the present invention better understood by those skilled in the art, the following description of the technical solutions of the present invention will be made in detail, but it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments of the present invention, with reference to the accompanying drawings in the embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, an intelligent agriculture integrated management system based on the agriculture internet of things comprises a server, wherein the server is in communication connection with a time-period control quantity analysis unit, an influence node supervision unit, a node control efficiency monitoring unit and an adjacent period influence analysis unit, and the server is in two-way communication connection with the time-period control quantity analysis unit, the influence node supervision unit, the node control efficiency monitoring unit and the adjacent period influence analysis unit;
the server generates a time-division control quantity analysis signal and sends the time-division control quantity analysis signal to the time-division control quantity analysis unit, and after the time-division control quantity analysis unit receives the time-division control quantity analysis signal, the time-division control quantity analysis is carried out on the agricultural planting area to judge whether the real-time environment control of crops in the agricultural planting area is qualified or not, so that the planting process of the crops is monitored, the planting efficiency of the agricultural planting area is ensured, and the control efficiency of the real-time environment is improved;
acquiring an agricultural planting area, acquiring environmental information of the agricultural planting area, wherein the environmental information comprises sub-data such as temperature, humidity and oxygen content, setting an environmental information monitoring time period, dividing the environmental information monitoring time period into i sub-time periods, wherein i is a natural number larger than 1, taking the first and last time points of the sub-time periods as X-axis nodes, the X-axis as time amount and the numerical value of the sub-data in the environmental information as Y-axis, acquiring the numerical value of the sub-data in the environmental information monitoring time period, substituting the numerical value into a coordinate system, and constructing a numerical curve of the corresponding sub-data according to the numerical values of different sub-time periods;
according to a numerical curve of the sub-data in the environmental information, acquiring a numerical control quantity of the sub-data in the homonymous time period in the environmental information monitoring time period and a time length proportion within a preset range of the sub-data in the environmental information monitoring time period, and comparing the numerical control quantity of the sub-data in the homonymous time period in the environmental information monitoring time period and the time length proportion within the preset range of the sub-data in the environmental information monitoring time period with a numerical control quantity threshold and a time length proportion threshold respectively: the control quantity is represented as a control quantity for controlling the corresponding value to a threshold range when the value of the sub-data in the environment information is not in the threshold range;
if the numerical control quantity of the sub-data in the sub-time period in the environmental information monitoring time period exceeds a numerical control quantity threshold value, and the time length proportion in the sub-data numerical value in the environmental information monitoring time period in a preset range does not exceed a time length proportion threshold value, judging that the time-division control quantity in the agricultural planting area is qualified in analysis, generating a time-division control quantity qualified signal and sending the time-division control quantity qualified signal to a server; if the numerical control quantity of the sub-data in the sub-time period in the environmental information monitoring time period does not exceed the numerical control quantity threshold, or the time length proportion in the sub-data numerical value in the environmental information monitoring time period does not exceed the time length proportion threshold in the preset range, judging that the time-division control quantity analysis in the agricultural planting area is unqualified, generating a time-division control quantity unqualified signal and sending the time-division control quantity unqualified signal to a server; after receiving the unqualified signals of the time-division control quantity, the server performs rectifying on the numerical control of the corresponding sub-data in the agricultural planting area, so that the numerical control efficiency of the sub-data is improved;
after receiving the qualified signals of the time-division control quantity, the server generates influence node supervision signals and sends the influence node supervision signals to the influence node supervision unit, and after receiving the influence node supervision signals, the influence node supervision unit analyzes the influence of crops in an agricultural planting area and judges whether the influence of real-time products on the environment is normal or not in the planting process of the crops, so that the real-time planting environment of the crops is ensured to meet the requirements, and meanwhile, the influence of the real-time planting environment of the crops can be monitored, and the planting efficiency of the crops is improved;
marking crops planted in a real-time agricultural planting area as analysis objects, collecting real-time products in the planting process of the analysis objects, such as carbon dioxide generated by plants in the planting process, if the content of the real-time products of the analysis objects is increased and the sub-data in the environmental information where the analysis objects are located floats, marking the real-time products as sub-data influence products, and if the real-time products are carbon dioxide, the content of the carbon dioxide rises and the oxygen concentration in the environmental information floats;
the method comprises the steps of collecting the number of sub-data with numerical value floating when the content of the real-time product of an analysis object in a real-time agricultural planting area is increased and the average span of the numerical value floating when the content of the real-time product of the analysis object in the real-time agricultural planting area is increased, and comparing the number of sub-data with the threshold value of the number of sub-data and the threshold value of the average span of the numerical value floating when the content of the real-time product of the analysis object in the real-time agricultural planting area is increased respectively:
if the number of the sub-data with the numerical value floating when the content of the real-time product corresponding to the analysis object in the real-time agricultural planting area is increased exceeds a threshold value of the number of the sub-data or the average span with the numerical value floating corresponding to the sub-data exceeds a threshold value of the average span of the numerical value floating, judging that crops in the current agricultural planting area are affected, generating a product affecting signal, marking the corresponding planting time period as an affecting time period, and transmitting the affecting time period and the product affecting signal to a server together; after receiving the influence time period and the product influence signal, the server adjusts the crop environment control in the corresponding influence time period;
if the number of the sub-data with the numerical value floating does not exceed the threshold value of the number of the sub-data when the content of the real-time product corresponding to the analysis object in the real-time agricultural planting area is increased and the average span of the numerical value floating of the corresponding sub-data does not exceed the threshold value of the numerical value floating average span, judging that crops in the current agricultural planting area are not affected, generating a product non-affecting signal, marking the corresponding planting time period as a non-affecting time period, and transmitting the non-affecting time period and the product non-affecting signal to a server together;
the server generates a node control efficiency monitoring signal and sends the node control efficiency monitoring signal to the node control efficiency monitoring unit, and after the node control efficiency monitoring unit receives the node control efficiency monitoring signal, the node control efficiency monitoring unit monitors the control efficiency of the influence time period in the planting time period and judges whether the control efficiency is qualified when the real-time planted crops have influence on the environment, so that the rationality of the real-time environment of the planted crops is ensured, the planting efficiency of the planted crops is ensured, the environmental control of the planted crops is detected, and the environmental control efficiency of the crops is prevented from being low, and the planting quality of the crops is prevented from being influenced;
the method comprises the steps of collecting the instantaneous increment of a corresponding sub-data control quantity in an influence time period and a history adjacent time period and the buffer time length of the sub-data numerical control in the influence time period, and comparing the instantaneous increment of the corresponding sub-data control quantity in the influence time period and the history adjacent time period and the buffer time length of the sub-data numerical control in the influence time period with an instantaneous increment threshold and a buffer time length threshold respectively:
if the instantaneous increment of the corresponding sub-data control quantity in the influence time period and the historical adjacent time period exceeds the instantaneous increment threshold, and the buffer time of the sub-data numerical control in the influence time period does not exceed the buffer time threshold, judging that the control efficiency monitoring is normal in the influence time period, generating a control efficiency qualified signal and transmitting the control efficiency qualified signal to a server;
if the instantaneous increment of the corresponding sub-data control quantity in the influence time period and the historical adjacent time period does not exceed the instantaneous increment threshold, or the buffer time of the sub-data numerical control in the influence time period exceeds the buffer time threshold, judging that the control efficiency monitoring in the influence time period is abnormal, generating a control efficiency unqualified signal and sending the control efficiency unqualified signal to a server, and after receiving the control efficiency unqualified signal, increasing the corresponding sub-data control quantity in the influence time period in the planting time period by the server;
the method comprises the steps that a server generates adjacent period influence analysis signals and sends the adjacent period influence analysis signals to an adjacent period influence analysis unit, and after the adjacent period influence analysis unit receives the adjacent period influence analysis signals, the adjacent period corresponding crop type influence of an agricultural planting area is analyzed, whether the adjacent planted crop corresponding influence is normal or not is judged, deviation of planting efficiency of the adjacent period caused by different requirements of crops is prevented, and meanwhile, the input cost of the adjacent period crops is prevented from being uncontrollable, so that the planting efficiency is reduced;
the method comprises the steps of collecting a maximum demand environment control quantity difference value of crops planted in adjacent periods in an agricultural planting area and a sub-data numerical value floating quantity of real-time products of the crops planted in the adjacent periods corresponding to non-same period crop environments in the agricultural planting area, and comparing the maximum demand environment control quantity difference value of the crops planted in the adjacent periods in the agricultural planting area and the sub-data numerical value floating quantity of the crops planted in the adjacent periods corresponding to the non-same period crop environments with a maximum demand environment control difference value threshold and a sub-data numerical value floating quantity threshold respectively:
if the maximum demand environment control difference value of the adjacent period planted crops in the agricultural planting area exceeds the maximum demand environment control difference value threshold value, or the sub-data value floating quantity of the real-time product of the adjacent period planted crops corresponding to the non-same period crop environment exceeds the sub-data value floating quantity threshold value, judging that the adjacent period influence analysis is abnormal in the agricultural planting area, generating an adjacent period influence abnormal signal and sending the adjacent period influence abnormal signal to a server, and replacing the corresponding adjacent period crop type after the server receives the adjacent period influence abnormal signal;
if the maximum demand environment control quantity difference value of the adjacent period planted crops in the agricultural planting area does not exceed the maximum demand environment control quantity difference value threshold value and the sub-data value floating quantity of the real-time product of the adjacent period planted crops corresponding to the non-same period crop environment does not exceed the sub-data value floating quantity threshold value, judging that the adjacent period influence analysis in the agricultural planting area is normal, generating an adjacent period influence normal signal and sending the adjacent period influence normal signal to a server.
When the method is used, the time-period control quantity analysis is carried out on the agricultural planting area through the time-period control quantity analysis unit, whether the control quantity analysis of the agricultural planting area is normal or not is judged, a time-period control quantity qualified signal is generated after the analysis is normal, and the time-period control quantity qualified signal is sent to the server; after receiving the qualified signals of the time-division control quantity, the server performs crop influence analysis on the agricultural planting area by the influence node supervision unit, marks the planted crops in the real-time agricultural planting area as analysis objects, generates product influence signals or product influence-free signals according to the influence analysis of the analysis objects, acquires influence time periods and sends the influence time periods to the server; the control efficiency monitoring unit monitors the control efficiency of the influence time period in the planting time period and judges whether the control of the influence time period in the agricultural planting area is normal or not; and analyzing the influence of the crop types corresponding to the adjacent period of the agricultural planting area through the adjacent period influence analysis unit, and selecting the crop types planted in the adjacent period through the crop type influence analysis.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof. The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions.
Claims (6)
1. An intelligent agriculture integrated management system based on the agriculture internet of things is characterized by comprising a server, wherein the server is in communication connection with:
the time-interval control quantity analysis unit is used for carrying out time-interval control quantity analysis on the agricultural planting area, judging whether the control quantity analysis of the agricultural planting area is normal or not, generating a time-interval control quantity qualified signal after the analysis is normal, and sending the time-interval control quantity qualified signal to the server;
after receiving the qualified signals of the time-division control quantity, the server performs crop influence analysis on the agricultural planting area by the influence node supervision unit, marks the planted crops in the real-time agricultural planting area as analysis objects, generates product influence signals or product influence-free signals according to the influence analysis of the analysis objects, acquires influence time periods and sends the influence time periods to the server;
the node control efficiency monitoring unit is used for monitoring the control efficiency of the influence time period in the planting time period and judging whether the control of the influence time period in the agricultural planting area is normal or not;
and the adjacent period influence analysis unit is used for analyzing the influence of the corresponding crop types on the adjacent period of the agricultural planting area and selecting the crop types planted in the adjacent period through the crop type influence analysis.
2. The intelligent agriculture integrated management system based on the agriculture internet of things of claim 1, wherein the operation process of the time-division control quantity analysis unit is as follows:
the method comprises the steps of acquiring an agricultural planting area, collecting environmental information of the agricultural planting area, setting an environmental information monitoring time period by using subdata including temperature, humidity and oxygen content, dividing the environmental information monitoring time period into i subdata, wherein i is a natural number larger than 1, taking the first and last time points of the subdata as X-axis nodes, taking an X-axis as time amount, taking the numerical value of subdata in the environmental information as a Y-axis, collecting the numerical value of subdata in the environmental information monitoring time period, substituting the numerical value into a coordinate system, and constructing a numerical curve of corresponding subdata according to the numerical values of different subdata.
3. The intelligent agriculture integrated management system based on the agriculture internet of things according to claim 2, wherein the numerical control quantity of the sub-data in the same sub-time period in the environment information monitoring time period and the time length ratio of the sub-data value in the environment information monitoring time period which is not in the preset range are obtained according to the numerical curve of the sub-data in the environment information, and are compared with the numerical control quantity threshold and the time length ratio threshold respectively:
if the numerical control quantity of the sub-data in the sub-time period in the environmental information monitoring time period exceeds a numerical control quantity threshold value, and the time length proportion in the range where the numerical value of the sub-data in the environmental information monitoring time period does not exceed the time length proportion threshold value, generating a time-period control quantity qualified signal and sending the time-period control quantity qualified signal to a server;
if the numerical control quantity of the sub-data in the sub-time period in the environmental information monitoring time period does not exceed the numerical control quantity threshold, or if the time length proportion in the sub-data numerical value in the environmental information monitoring time period in the preset range exceeds the time length proportion threshold, generating a time-period control quantity disqualification signal and sending the time-period control quantity disqualification signal to a server.
4. The intelligent agriculture integrated management system based on the agriculture internet of things of claim 1, wherein the operation process of the influencing node supervision unit is as follows:
collecting real-time products in the planting process of the analysis object, such as carbon dioxide generated by plants in the planting process, if the content of the real-time products of the analysis object is increased and the sub-data in the environmental information where the analysis object is located floats, marking the real-time products as sub-data influence products, and if the real-time products are carbon dioxide, the content of the carbon dioxide rises and the concentration of oxygen in the environmental information floats;
the method comprises the steps of collecting the number of sub-data with numerical value floating when the content of the real-time product of an analysis object in a real-time agricultural planting area is increased and the average span of the numerical value floating when the content of the real-time product of the analysis object in the real-time agricultural planting area is increased, and comparing the number of sub-data with the threshold value of the number of sub-data and the threshold value of the average span of the numerical value floating when the content of the real-time product of the analysis object in the real-time agricultural planting area is increased respectively:
if the number of the sub-data with the numerical value floating when the content of the real-time product corresponding to the analysis object in the real-time agricultural planting area is increased exceeds a threshold value of the number of the sub-data or the average span of the numerical value floating corresponding to the sub-data exceeds a threshold value of the numerical value floating average span, generating a product influence signal, marking the corresponding planting time period as an influence time period, and transmitting the influence time period and the product influence signal to a server together;
if the number of the sub-data with the numerical value floating does not exceed the threshold value of the number of the sub-data when the content of the real-time product corresponding to the analysis object in the real-time agricultural planting area is increased and the average span of the numerical value floating of the corresponding sub-data does not exceed the threshold value of the numerical value floating average span, generating a product no-influence signal, marking the corresponding planting time period as a non-influence time period, and transmitting the non-influence time period and the product no-influence signal to a server.
5. The intelligent agriculture integrated management system based on the agriculture internet of things of claim 1, wherein the operation process of the node control efficiency monitoring unit is as follows:
the method comprises the steps of collecting the instantaneous increment of a corresponding sub-data control quantity in an influence time period and a history adjacent time period and the buffer time length of the sub-data numerical control in the influence time period, and comparing the instantaneous increment of the corresponding sub-data control quantity in the influence time period and the history adjacent time period and the buffer time length of the sub-data numerical control in the influence time period with an instantaneous increment threshold and a buffer time length threshold respectively:
if the instantaneous increment of the corresponding sub-data control quantity in the influence time period and the historical adjacent time period exceeds the instantaneous increment threshold, and the buffer time of the sub-data numerical control in the influence time period does not exceed the buffer time threshold, judging that the control efficiency monitoring is normal in the influence time period, generating a control efficiency qualified signal and transmitting the control efficiency qualified signal to a server;
if the instantaneous increment of the corresponding sub-data control quantity in the influence time period and the historical adjacent time period does not exceed the instantaneous increment threshold, or the buffer time of the sub-data numerical control in the influence time period exceeds the buffer time threshold, judging that the control efficiency monitoring in the influence time period is abnormal, generating a control efficiency unqualified signal and sending the control efficiency unqualified signal to a server.
6. The intelligent agriculture integrated management system based on the agriculture internet of things according to claim 1, wherein the operation process of the adjacent period influence analysis unit is as follows:
the method comprises the steps of collecting the maximum required environment control quantity difference value of crops planted in adjacent periods in an agricultural planting area and the sub-data numerical value floating quantity of the real-time products of the crops planted in the adjacent periods corresponding to the crop environments in different periods, and comparing the sub-data numerical value floating quantity with a maximum required environment control quantity difference value threshold and a sub-data numerical value floating quantity threshold respectively:
if the maximum demand environment control difference value of the adjacent period planted crops in the agricultural planting area exceeds the maximum demand environment control difference value threshold value, or the sub-data value floating quantity of the real-time product of the adjacent period planted crops corresponding to the non-same period crop environment exceeds the sub-data value floating quantity threshold value, judging that the adjacent period influence analysis is abnormal in the agricultural planting area, generating an adjacent period influence abnormal signal and sending the adjacent period influence abnormal signal to a server;
if the maximum demand environment control quantity difference value of the adjacent period planted crops in the agricultural planting area does not exceed the maximum demand environment control quantity difference value threshold value and the sub-data value floating quantity of the real-time product of the adjacent period planted crops corresponding to the non-same period crop environment does not exceed the sub-data value floating quantity threshold value, judging that the adjacent period influence analysis in the agricultural planting area is normal, generating an adjacent period influence normal signal and sending the adjacent period influence normal signal to a server.
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