CN113421408B - Agricultural information monitoring system and method based on big data - Google Patents

Agricultural information monitoring system and method based on big data Download PDF

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CN113421408B
CN113421408B CN202110737363.3A CN202110737363A CN113421408B CN 113421408 B CN113421408 B CN 113421408B CN 202110737363 A CN202110737363 A CN 202110737363A CN 113421408 B CN113421408 B CN 113421408B
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CN113421408A (en
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姜义凡
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Zhejiang Huiding Hualian Technology Co ltd
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Abstract

The invention discloses an agricultural information monitoring system and method based on big data, which comprises the following steps: an agricultural environment information acquisition module, an environment information base, a remote control center, an illumination light monitoring module, an illumination coverage adjustment module and a data deviation early warning module, the agricultural information acquisition module is used for acquiring illumination and temperature condition data required by crop growth, the illumination light monitoring module is used for monitoring the temperature and illumination intensity of a crop growth area, judging whether the currently monitored data meet the crop growth requirement or not, utilizing the reflection phenomenon of light to predict the incident light angle capable of being reflected to the corresponding crop, the illumination coverage adjusting module analyzes the crops which need but do not obtain illumination, the incident light angle monitored at present is matched with the predicted incident light angle, and after the matching is successful, the reflecting equipment is installed on the corresponding light-transmitting plane, so that the incident light can be accurately reflected to the crops, and the illumination conditions of the crops are improved.

Description

Agricultural information monitoring system and method based on big data
Technical Field
The invention relates to the technical field of big data, in particular to an agricultural information monitoring system and method based on big data.
Background
With the development of scientific technology, agricultural information is acquired without depending on manual work and experience, the manual planting experience is fused with a big data technology, sensor data acquired in real time is combined with the traditional planting experience, various information data (temperature, illumination, water quantity and the like) of crops can be checked at any time in a long distance, whether the growing environment of the crops is good or not is judged, agricultural breeding scenes comprise indoor and outdoor, for an indoor scene (a greenhouse), illumination intensity and temperature have important influence on the growth of the crops, the crops can normally grow only when the illumination intensity can meet the requirement of photosynthesis, however, the weak illumination of partial areas in the greenhouse is not beneficial to the normal growth of the crops, when the temperature or the illumination intensity of the areas where the crops are located is monitored to not meet the requirement of growth, the illumination conditions of the corresponding areas are timely improved, the photosynthesis efficiency can be effectively improved, The method helps crops grow normally, for improving the illumination condition, a common method comprises the steps of installing a reflecting device or pasting a reflecting film and the like at a place with weak illumination, but in the situation, the installation or pasting position needs to be selected manually by experience, the situation is difficult to ensure that all crops can obtain the required illumination, the installation position of the reflecting device is generally on a light-transmitting plane of a greenhouse, the incident light angle reflected to the crops can be predicted by collecting the angles of the crops and the light-transmitting plane of the greenhouse, when the crops which need to be illuminated but cannot be monitored are monitored, the current incident light angle is measured and matched with the predicted incident light angle, the reflecting device or the reflecting film only needs to be installed on the corresponding light-transmitting plane when the angles are the same, the incident light can be accurately reflected to the corresponding crops, the crops can obtain the required illumination, and the reflecting device does not need to be installed on a large scale, the installation cost is saved; in addition, in the monitoring process, the precipitation data often have deviation, and the early warning is timely carried out when the deviation occurs, and the deviation reason is searched, so that the deviation data can be corrected timely to provide a better growing environment for crops.
Therefore, a system and a method for monitoring agricultural information based on big data are needed to solve the above problems.
Disclosure of Invention
The invention aims to provide an agricultural information monitoring system and method based on big data, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the utility model provides an agricultural information monitoring system based on big data which characterized in that: the system comprises: the system comprises an agricultural environment information acquisition module, an environment information base, a remote control center, an illumination light monitoring module, an illumination coverage adjustment module and a data deviation early warning module;
the agricultural environment information acquisition module acquires illumination intensity required by all areas where the same crops are planted and temperature condition data required by the same crops and sends the illumination intensity and the temperature data required by the crops in the environment information base to the illumination light monitoring module through the remote control center, the illumination light monitoring module sends the crops which do not meet the requirements and the positions of the crops to the illumination coverage adjustment module when monitoring that the illumination intensity and the temperature of the crops do not meet the requirements, the agricultural environment information acquisition module simultaneously acquires angle data of included angles between each light-transmitting plane of the crop growth environment and the ground to the environment information base, the remote control center transmits the angle data to the illumination light monitoring module, and the illumination light monitoring module measures the angles formed by all the crop positions and the crop growth environment planes, the angle of incident light which can be reflected to irradiate crops through different planes is predicted according to the reflection angle, the prediction result is transmitted to the illumination coverage adjustment module, the illumination coverage adjustment module analyzes and confirms the crops which need illumination at present but are not irradiated, the predicted incident light angle which is the same as the current light irradiation angle is matched, a light reflecting device is arranged on the corresponding plane area to reflect the incident light, and the illumination range is adjusted; monitoring precipitation data of a crop growing environment through the data deviation early warning module, comparing the precipitation data with actual weather data, sending out monitoring abnormity early warning signals when the data are not accordant, searching for data deviation reasons, adjusting the data, and updating the monitoring data after the adjustment is finished.
Further, agricultural environment information acquisition module includes regional illumination condition acquisition unit, regional temperature condition acquisition unit and environment plane angle acquisition unit, through regional illumination condition acquisition unit gathers all regional required illumination intensity data of planting the same crop, through regional temperature condition acquisition unit gathers the temperature data that correspond crop region needs, through environment plane angle acquisition unit gathers crop growth environment, the angle data that forms between each printing opacity plane and the ground in the greenhouse promptly.
The illumination light monitoring module comprises a reflection angle measuring unit, an incident light predicting unit, a temperature monitoring unit and a light intensity monitoring unit, wherein the reflection angle measuring unit is used for measuring the degree of an included angle formed between each crop in the same area and a light-transmitting plane, the included angle is used as a reflection angle, the incident light predicting unit predicts the degree of the incident light angle capable of being reflected to the corresponding crop according to the reflection angle, the temperature monitoring unit is used for monitoring the temperature of the growing area of the different types of crops, the light intensity monitoring unit is used for monitoring the light intensity of the growing area of the corresponding crop, and when the crop cannot obtain the light intensity, and the temperature and the light intensity of the growing area do not meet the conditions required by the growth of the crop, the abnormal monitoring condition is sent to the illumination coverage adjusting module; illumination covers adjustment module includes illumination demand analysis unit, illumination scope real-time measurement unit and illumination scope adjustment unit, through illumination demand analysis unit analysis needs illumination but not the crop area that shines at present, through illumination angle real-time measurement unit measures the angle of current incident light illumination, through illumination scope adjustment unit matches the prediction incident light angle the same with current light irradiation angle, installs reflection of light equipment reflection incident light on corresponding printing opacity plane, adjusts the illumination scope, is favorable to incident light can accurate reflection to the crop on for the crop can obtain the illumination of needs, need not install reflection of light equipment on a large scale, has saved installation cost.
Further, the data deviation early warning module includes precipitation data monitoring unit, control unusual early warning unit, data deviation unit of tracing to the source and control data update unit, through precipitation data monitoring unit monitors the precipitation data of crop growing environment, compares with actual weather data, passes through when data disagreement the unusual early warning unit of control sends control unusual early warning signal extremely the data deviation unit of tracing to the source, through data deviation unit of tracing to the source looks for data deviation reason and adjustment data, passes through after the adjustment the control data update unit carries out the control data update, arrives the data transmission who updates store in the remote control center.
A big data-based agricultural information monitoring method is characterized in that: the method comprises the following steps:
s1: collecting temperature and illumination condition data required by various crops and crop growth environment, namely included angles between all light-transmitting planes of the greenhouse and the ground;
s2: monitoring the growth temperature and the illumination intensity of crops in real time, and judging whether the required conditions are met: if yes, continuing monitoring; if not, go to step S3;
s3: measuring the included angle degrees of all crops and the light-transmitting plane, and predicting the incident light angle degrees which can be reflected to the corresponding crops;
s4: analyzing and confirming crops which need but do not obtain illumination, measuring the current incident light irradiation angle, searching a light-transmitting plane capable of irradiating the crops through incident light reflection, and installing light reflecting equipment;
s5: monitoring the precipitation data of the crop growth environment, searching the reason of data deviation and adjusting and updating the data when the precipitation data does not accord with the actual weather.
Further, in step S1: the illumination intensity set required by various crops is collected by the regional illumination condition collection unit to be L ═ L1，L2，...，LnT ═ T corresponding to the set of required temperatures1，T2，...，TnAnd n represents the type number of crops in the current growing environment, and the included angles between all light-transmitting planes and the ground in the greenhouse are collected to be theta ═ theta1，θ2，...，θmAnd m represents the number of light-transmitting planes in the greenhouse, and the acquired data are transmitted to the illumination light monitoring module.
Further, in steps S2-S4: the temperature monitoring unit is used for monitoring the temperature set T of the growing areas of various crops at presentMeasuring＝{TSide 1，TSide 2，...，TMeasure nComparing the monitored temperature with the temperature required by the crops of the corresponding type, and screening out TMeasure i<TiThe illumination intensity of the corresponding crop growing area is monitored to be L by using the illumination monitoring unitMeasuring＝{LSide 1，LSide 2，...，LMeasure n}, screening out LMeasure i<LiWherein, TMeasure iAnd LMeasure iRespectively representing the monitored temperature and illumination intensity, T, of a random crop growing regioniAnd LiRespectively representing the temperature and the illumination intensity required by the crops of the corresponding type to obtain all the crops which do not meet the growth condition at present, and measuring the level of the center of a random un-illuminated crop and a random light-transmitting plane by using a reflection angle measuring unitA distance of aiVertical height of biMeasuring the included angle alpha between the crop and the light-transmitting plane according to the following formulai：
Figure BDA0003142073160000041
Will form an included angle alphaiAs the reflection angle, the incident ray angle β predicted by the incident ray prediction unit to be reflected to the corresponding crop through the light transmission plane isiWherein beta isi＝αiAnd obtaining a set of predicted incident ray angles which can be reflected to the corresponding crops through all the light-transmitting planes as beta ═ beta1，β2，...，βmMeasuring the current incident light irradiation angle beta by using a real-time light irradiation angle measuring unitMeasuringFinding and in the set of predicted incident ray anglesMeasuringEqual angles: if can find betaMeasuringEqual angle betajThe light reflecting device is installed on the jth light transmitting plane, the light reflecting device can be a light reflecting film and other devices with light reflecting functions, the reflection phenomenon of light is utilized, the reflection angle is equal to the incident angle, the incident light angle capable of being reflected to the crop can be predicted according to the distance from the crop to the light transmitting plane, the light transmitting plane matched with the currently measured incident light angle can be searched, the light reflecting device is installed on the plane and can reflect light to the corresponding crop accurately, and the illumination condition of the crop is improved.
Further, in step S5: monitoring the precipitation data of the crop growth environment by using a precipitation data monitoring unit: if the weather does not accord with the actual weather, an alarm signal is sent to a data deviation tracing unit by using a monitoring abnormity early warning unit, and the data deviation tracing unit is manually used for searching the reason of the deviation of the precipitation data: if the rainfall data is deviated due to residual rainwater in the monitoring equipment, the detection time density of the monitoring equipment is improved; if the precipitation data are deviated due to the fault of the monitoring equipment, arranging equipment maintenance; if the precipitation data are deviated due to data compiling errors, the deviation data are deleted after being checked with the actual data, the accurate data after being checked are added to the remote control center by the monitoring data updating unit, early warning is timely carried out when the precipitation data are monitored to be deviated, the efficiency of searching the deviation reason of the data is improved, and the deviation data are corrected to avoid errors in the judgment of the crop growth condition.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention collects the illumination and temperature condition data needed by the growth of crops through the agricultural environment information collecting module, judges whether the current monitored data meets the growth requirements of the crops through the illuminating light monitoring module, searches the crops which do not meet the illumination and temperature conditions, measures the included angle between each crop and the light transmitting plane in advance, uses the included angle as the reflection angle, predicts the incident light angle reflected to the corresponding crop by utilizing the reflection phenomenon of light, analyzes the crops which need to be but not obtain illumination through the illumination coverage adjusting module, matches the current monitored incident light angle with the predicted incident light angle, installs the light reflecting equipment on the corresponding light transmitting plane after the matching is successful, is favorable for leading the current incident light to be accurately reflected to the corresponding crop, does not need to install the light reflecting equipment in a large range, and saves certain installation cost, the illumination required by the corresponding crops is facilitated, so that the crops can grow synchronously with the crops of the same type; meanwhile, when the rainfall data is monitored to have deviation and not accord with the actual weather, early warning is timely carried out, the reason of the data deviation is found, and the deviation data is corrected and updated, so that the efficiency of finding the reason of the data deviation is improved, and the deviation data is corrected, so that the error in the judgment of the crop growth condition is avoided.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a block diagram of a big data based agricultural information monitoring system of the present invention;
FIG. 2 is a flow chart of a big data based agricultural information monitoring method of the present invention;
FIG. 3 is a schematic diagram of the present invention for predicting incident ray angles.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Referring to fig. 1-3, the present invention provides the following technical solutions: the utility model provides an agricultural information monitoring system based on big data which characterized in that: the system comprises: the system comprises an agricultural environment information acquisition module, an environment information base, a remote control center, an illumination light monitoring module, an illumination coverage adjustment module and a data deviation early warning module;
the agricultural environment information acquisition module acquires illumination intensity and temperature condition data required by all areas where the same crops are planted into an environment information base, the illumination intensity and the temperature data required by the crops in the environment information base are called into the illumination light monitoring module through the remote control center, the illumination light monitoring module sends the crops which do not meet the requirements and the positions of the crops to the illumination coverage adjustment module when monitoring that the illumination intensity and the temperature of the crops do not meet the requirements, the agricultural environment information acquisition module simultaneously acquires angle data of included angles between each light-transmitting plane of the crop growth environment and the ground into the environment information base, the remote control center transmits the angle data into the illumination light monitoring module, the illumination light monitoring module measures angles formed by all the crop positions and the crop growth environment plane and takes the angles as reflection angles, predicting incident light angles capable of reflecting to irradiate crops through different planes according to the reflection angles, transmitting a prediction result to an illumination coverage adjustment module, analyzing and confirming the crops which need illumination at present but are not irradiated by the illumination coverage adjustment module, matching the predicted incident light angles which are the same as the current light irradiation angles, installing a light reflecting device on a corresponding plane area to reflect the incident light, and adjusting the illumination range; monitoring precipitation data of a crop growing environment through a data deviation early warning module, comparing the precipitation data with actual weather data, sending out a monitoring abnormity early warning signal when the data are not accordant, searching for a data deviation reason, adjusting the data, and updating the monitoring data after the adjustment is finished.
The agricultural environment information acquisition module comprises an area illumination condition acquisition unit, an area temperature condition acquisition unit and an environment plane angle acquisition unit, the area illumination condition acquisition unit acquires illumination intensity data required by all areas where the same crops are planted, the area temperature condition acquisition unit acquires temperature data required by the corresponding crop areas, and the environment plane angle acquisition unit acquires the crop growth environment, namely angle data formed between each light-transmitting plane and the ground in the greenhouse.
The irradiation light monitoring module comprises a reflection angle measuring unit, an incident light predicting unit, a temperature monitoring unit and a illuminance monitoring unit, wherein the reflection angle measuring unit is used for measuring the degree of an included angle formed between each crop in the same area and a light-transmitting plane, the included angle is used as a reflection angle, the incident light predicting unit predicts the degree of an incident light angle capable of being reflected to the corresponding crop according to the reflection angle, the temperature monitoring unit is used for monitoring the temperature of the growing area of the different types of crops, the illuminance monitoring unit is used for monitoring the illuminance of the growing area of the corresponding crop, and when the crop cannot obtain the conditions that the illumination, the temperature of the growing area and the illuminance do not meet the growth requirement of the crop, the abnormal monitoring condition is sent to the illumination coverage adjusting module; illumination covers adjustment module includes illumination demand analysis unit, illumination scope real-time measurement unit and illumination scope adjustment unit, the work area that needs illumination but not shone at present through illumination demand analysis unit analysis, the angle of the illumination of current incident light is measured through illumination angle real-time measurement unit, match the prediction incident light angle the same with current light irradiation angle through illumination scope adjustment unit, install reflection of light equipment reflection incident light on corresponding printing opacity plane, adjust the illumination scope, can be with the accurate reflection of incident light to the crop, make the crop can obtain required illumination, need not install reflection of light equipment on a large scale, the installation cost has been saved in the help.
The data deviation early warning module comprises a rainfall data monitoring unit, a monitoring abnormity early warning unit, a data deviation tracing unit and a monitoring data updating unit, rainfall data of a crop growth environment is monitored through the rainfall data monitoring unit, the rainfall data is compared with actual weather data, a monitoring abnormity early warning signal is sent to the data deviation tracing unit through the monitoring abnormity early warning unit when the data are inconsistent, data deviation reasons are searched and data are adjusted through the data deviation tracing unit, the monitoring data is updated through the monitoring data updating unit after the data are adjusted, and updated data are transmitted to the remote control center to be stored.
A big data-based agricultural information monitoring method is characterized in that: the method comprises the following steps:
s1: collecting temperature and illumination condition data required by various crops and crop growth environment, namely included angles between all light-transmitting planes of the greenhouse and the ground;
s2: monitoring the growth temperature and the illumination intensity of crops in real time, and judging whether the required conditions are met: if yes, continuing monitoring; if not, go to step S3;
s3: measuring the included angle degrees of all crops and the light-transmitting plane, and predicting the incident light angle degrees which can be reflected to the corresponding crops;
s4: analyzing and confirming crops which need but do not obtain illumination, measuring the current incident light irradiation angle, searching a light-transmitting plane capable of irradiating the crops through incident light reflection, and installing light reflecting equipment;
s5: monitoring the precipitation data of the crop growth environment, searching the reason of data deviation and adjusting and updating the data when the precipitation data does not accord with the actual weather.
In step S1: the illumination intensity set required by various crops is collected by the regional illumination condition collection unit to be L ═ L1，L2，...，LnT ═ T corresponding to the set of required temperatures1，T2，...，TnAnd n represents the type number of crops in the current growing environment, and the included angles between all light-transmitting planes and the ground in the greenhouse are collected to be theta ═ theta1，θ2，...，θmM represents the number of light-transmitting planes in the greenhouse, and transmits the acquired data to an illuminating light ray monitorIn a module.
In steps S2-S4: the temperature monitoring unit is used for monitoring the temperature set T of the growing areas of various crops at presentMeasuring＝{TSide 1，TSide 2，...，TMeasure nComparing the monitored temperature with the temperature required by the crops of the corresponding type, and screening out TMeasure i<TiThe illumination intensity of the corresponding crop growing area is monitored to be L by using the illumination monitoring unitMeasuring＝{LSide 1，LSide 2，...，LMeasure n}, screening out LMeasure i<LiWherein, TMeasure iAnd LMeasure iRespectively representing the monitored temperature and illumination intensity, T, of a random crop growing regioniAnd LiRespectively representing the temperature and the illumination intensity required by the crops of the corresponding type to obtain all the crops which do not meet the growth condition at present, and measuring the horizontal distance between a random crop which is not illuminated and the center of a random transparent plane as a by using a reflection angle measuring unitiVertical height of biMeasuring the included angle alpha between the crop and the light-transmitting plane according to the following formulai：
Figure BDA0003142073160000071
Will form an included angle alphaiAs the reflection angle, the incident ray angle β predicted by the incident ray prediction unit to be reflected to the corresponding crop through the light transmission plane isiWherein beta isi＝αiAnd obtaining a set of predicted incident ray angles which can be reflected to the corresponding crops through all the light-transmitting planes as beta ═ beta1，β2，...，βmMeasuring the current incident light irradiation angle beta by using a real-time light irradiation angle measuring unitMeasuringFinding and in the set of predicted incident ray anglesMeasuringEqual angles: if can find betaMeasuringEqual angle betajA reflecting device is arranged on the jth light-transmitting plane, the reflecting device can be a reflecting film and other devices with a reflecting function,the reflection angle is equal to the incident angle by utilizing the reflection phenomenon of light, the incident light angle capable of being reflected to the crop is predicted according to the distance from the crop to the light-transmitting plane, the light-transmitting plane matched with the currently measured incident light angle is convenient to find, the light-reflecting equipment is installed on the plane and can accurately reflect the light to the corresponding crop, and the illumination condition of the crop is improved.
In step S5: monitoring the precipitation data of the crop growth environment by using a precipitation data monitoring unit: if the weather does not accord with the actual weather, an alarm signal is sent to the data deviation tracing unit by the monitoring abnormity early warning unit, and the reason that the precipitation data is deviated is found by the data deviation tracing unit manually: if the rainfall data is deviated due to residual rainwater in the monitoring equipment, the detection time density of the monitoring equipment is improved; if the precipitation data are deviated due to the fault of the monitoring equipment, arranging equipment maintenance; if the precipitation data are deviated due to data compiling errors, deviation data are deleted after the precipitation data are checked with actual data, the accurate data after the data are checked are added to the remote control center through the monitoring data updating unit, early warning is timely carried out when the precipitation data are monitored to be deviated, the efficiency of searching for the reason of the data deviation can be improved, and the deviation data are corrected to avoid errors in the judgment of the crop growth condition.
The first embodiment is as follows: the illumination intensity set required by various crops is collected by the regional illumination condition collection unit to be L ═ L1，L2，L3{700, 500, 1000}, unit: lx, corresponding to a desired temperature set of T ═ T1，T2，T322 ℃, 20 ℃, 25 ℃, and the collected included angles between all light-transmitting planes in the greenhouse and the ground are theta1，θ2，θ3The temperature monitoring unit is used for monitoring that the temperature set of the growth areas of various crops is TMeasuring＝{TSide 1，TSide 2，TSide 3The monitored temperature is compared with the temperature required by crops of the corresponding type, and T is higher than the temperature required by crops of the corresponding typeSide 1<T1All right (1)Monitoring the illumination intensity set of the corresponding crop growth area to be L by using the illumination monitoring unitMeasuring＝{LSide 1，LSide 2，LSide 3Screening out L (600, 500, 1000) }Side 1<L1Obtaining the crops which do not accord with the growth condition at present as the 1 st type crops, and measuring the horizontal distance between the random un-illuminated crop in the 1 st type crops and the center of the light-transmitting plane by using the reflection angle measuring unit to be a1＝3，a2＝2，a31, vertical height b1＝4，b2＝5，
Figure BDA0003142073160000081
According to the formula
Figure BDA0003142073160000082
Measuring the included angle alpha between the crop and the light-transmitting plane1≈8°，α2≈8.2°，α3The angle of the predicted incident light which can be reflected to the corresponding crop through all the light-transmitting planes is respectively beta which is predicted by an incident light prediction unit at 30 DEG1≈8°，β2≈8.2°，β3The current incident light irradiation angle beta is measured by a real-time light irradiation angle measuring unit at 30 DEGMeasuring＝30°＝β3Finding and betaMeasuringEqual angle is beta3And a light reflecting device is arranged on the 3 rd light transmitting plane.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (5)

1. The utility model provides an agricultural information monitoring system based on big data which characterized in that: the system comprises: the system comprises an agricultural environment information acquisition module, an environment information base, a remote control center, an illumination light monitoring module, an illumination coverage adjustment module and a data deviation early warning module;
the agricultural environment information acquisition module acquires illumination intensity required by all areas where the same crops are planted and temperature condition data required by the same crops and sends the illumination intensity and the temperature data required by the crops in the environment information base to the illumination light monitoring module through the remote control center, the illumination light monitoring module sends the crops which do not meet the requirements and the positions of the crops to the illumination coverage adjustment module when monitoring that the illumination intensity and the temperature of the crops do not meet the requirements, the agricultural environment information acquisition module simultaneously acquires angle data of included angles between each light-transmitting plane of the crop growth environment and the ground to the environment information base, the remote control center transmits the angle data to the illumination light monitoring module, and the illumination light monitoring module measures the angles formed by all the crop positions and the crop growth environment planes, the angle of incident light which can be reflected to irradiate crops through different planes is predicted according to the reflection angle, the prediction result is transmitted to the illumination coverage adjustment module, the illumination coverage adjustment module analyzes and confirms the crops which need illumination at present but are not irradiated, the predicted incident light angle which is the same as the current light irradiation angle is matched, a light reflecting device is arranged on the corresponding plane area to reflect the incident light, and the illumination range is adjusted; monitoring precipitation data of a crop growing environment through the data deviation early warning module, comparing the precipitation data with actual weather data, sending out a monitoring abnormity early warning signal when the data do not accord with each other, searching for a data deviation reason, adjusting the data, and updating the monitoring data after the adjustment is finished;
the illumination monitoring module comprises a reflection angle measuring unit, an incident light predicting unit, a temperature monitoring unit and an illumination monitoring unit, wherein the reflection angle measuring unit is used for measuring the degree of an included angle formed between each crop in the same area and a light-transmitting plane, the included angle is used as a reflection angle, the incident light predicting unit predicts the degree of the incident light angle capable of being reflected to the corresponding crop according to the reflection angle, the temperature monitoring unit is used for monitoring the temperature of the growing areas of the crops of different types, the illumination monitoring unit is used for monitoring the illumination of the growing areas of the corresponding crops, and when the crops cannot obtain the illumination, and the temperature and the illumination of the growing areas do not meet the conditions required by the growth of the crops, the abnormal monitoring condition is sent to the illumination coverage adjusting module; illumination covers adjustment module includes illumination demand analysis unit, illumination scope real-time measurement unit and illumination scope adjustment unit, through illumination demand analysis unit analysis needs illumination but not the crop area that is shone at present, through illumination angle real-time measurement unit measures the angle of current incident light illumination, through illumination scope adjustment unit matches the prediction incident light angle the same with current light illumination angle, installs reflection of light equipment reflection incident light on corresponding printing opacity plane, adjustment illumination scope.
2. The big data based agricultural information monitoring system according to claim 1, wherein: agricultural environment information collection module includes regional illumination condition acquisition unit, regional temperature condition acquisition unit and environment plane angle acquisition unit, through regional illumination condition acquisition unit gathers all illumination intensity data that the region that plants the same crop needs, through regional temperature condition acquisition unit gathers the temperature data that corresponds crop region needs, through environment plane angle acquisition unit gathers crop growth environment, the angle data that forms between each printing opacity plane and the ground in the greenhouse promptly.
3. The big data based agricultural information monitoring system according to claim 1, wherein: the data deviation early warning module comprises a precipitation data monitoring unit, a monitoring abnormity early warning unit, a data deviation tracing unit and a monitoring data updating unit, the precipitation data monitoring unit monitors precipitation data of a crop growth environment, the precipitation data is compared with actual weather data, the monitoring abnormity early warning unit sends a monitoring abnormity early warning signal to the data deviation tracing unit when the data are inconsistent, the data deviation tracing unit searches for data deviation reasons and adjusts the data, the monitoring data updating unit updates the monitoring data after the adjustment is finished, and the updated data is transmitted to the remote control center for storage.
4. A big data-based agricultural information monitoring method is characterized in that: the method comprises the following steps:
s1: collecting temperature and illumination condition data required by various crops and crop growth environment, namely included angles between all light-transmitting planes of the greenhouse and the ground;
s2: monitoring the growth temperature and the illumination intensity of crops in real time, and judging whether the required conditions are met: if yes, continuing monitoring; if not, go to step S3;
s3: measuring the included angle degrees of all crops and the light-transmitting plane, and predicting the incident light angle degrees which can be reflected to the corresponding crops;
s4: analyzing and confirming crops which need but do not obtain illumination, measuring the current incident light irradiation angle, searching a light-transmitting plane capable of irradiating the crops through incident light reflection, and installing light reflecting equipment;
s5: monitoring crop growth environment rainfall data, searching for a data deviation reason when the data does not accord with actual weather, and adjusting and updating the data;
in step S1: the illumination intensity set required by various crops is collected by the regional illumination condition collection unit to be L ═ L1，L2，...，LnT ═ T corresponding to the set of required temperatures1，T2，...，TnAnd n represents the type number of crops in the current growing environment, and the included angles between all light-transmitting planes and the ground in the greenhouse are collected to be theta ═ theta1，θ2，...，θmM represents the number of light-transmitting planes in the greenhouse, and transmits the acquired data to the illumination light monitoring module;
in steps S2-S4: the temperature monitoring unit is used for monitoring the temperature set T of the growing areas of various crops at presentMeasuring＝{TSide 1，TSide 2，...，TMeasure nComparing the monitored temperature with the temperature required by the crops of the corresponding type, and screening out TMeasure i<TiThe illumination intensity of the corresponding crop growing area is monitored to be L by using the illumination monitoring unitMeasuring＝{LSide 1，LSide 2，...，LMeasure n}, screening out LMeasure i<LiWherein, TMeasure iAnd LMeasure iRespectively representing the monitored temperature and illumination intensity, T, of a random crop growing regioniAnd LiRespectively representing the temperature and the illumination intensity required by the crops of the corresponding type to obtain all the crops which do not meet the growth condition at present, and measuring the horizontal distance between a random crop which is not illuminated and the center of a random transparent plane as a by using a reflection angle measuring unitiVertical height of biMeasuring the included angle alpha between the crop and the light-transmitting plane according to the following formulai：
Figure FDA0003338773830000031
Will form an included angle alphaiAs the reflection angle, the incident ray angle β predicted by the incident ray prediction unit to be reflected to the corresponding crop through the light transmission plane isiWherein beta isi＝αiAnd obtaining a set of predicted incident ray angles which can be reflected to the corresponding crops through all the light-transmitting planes as beta ═ beta1，β2，...，βmMeasuring the current incident light irradiation angle beta by using a real-time light irradiation angle measuring unitMeasuringFinding and in the set of predicted incident ray anglesMeasuringEqual angles: if can find betaMeasuringEqual angle betajAnd a light reflecting device is arranged on the jth light transmitting plane.
5. The big data based agricultural information monitoring method according to claim 4, wherein: in step S5: monitoring the precipitation data of the crop growth environment by using a precipitation data monitoring unit: if the weather does not accord with the actual weather, an alarm signal is sent to a data deviation tracing unit by using a monitoring abnormity early warning unit, and the data deviation tracing unit is manually used for searching the reason of the deviation of the precipitation data: if the rainfall data is deviated due to residual rainwater in the monitoring equipment, the detection time density of the monitoring equipment is improved; if the precipitation data are deviated due to the fault of the monitoring equipment, arranging equipment maintenance; if the precipitation data are deviated due to data compiling errors, the deviation data are deleted after being checked with the actual data, and the accurate data after being checked are added to the remote control center by the monitoring data updating unit.
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