CN112055079A - Disease and pest monitoring and early warning system based on cloud computing platform - Google Patents
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Abstract
The invention provides a disease and pest monitoring and early warning system based on a cloud computing platform, which is used for solving the problem that the existing monitoring system is still deficient in the aspects of monitoring areas, data storage and accuracy of disease and pest prediction, and comprises the cloud computing platform, an image monitoring module, an environment monitoring module, an information perception module, an alarm driving module, an intelligent terminal module, a data query module and a data storage module; according to the invention, through the arrangement of the environment monitoring module, the purpose of monitoring plant diseases and insect pests from the source is achieved; by arranging the image monitoring module and the information sensing module, the system can accurately predict the occurrence time of the plant diseases and insect pests and the scale of the plant diseases and insect pests; by arranging the data storage module, the defect of the storage capacity of the cloud computing platform is made up, so that the system is more complete and stable.
Description
Technical Field
The invention belongs to the technical field of pest and disease monitoring, and particularly relates to a pest and disease monitoring and early warning system based on a cloud computing platform.
Background
The frequent occurrence of crop pests seriously restricts the agricultural yield increase and the quality improvement of agricultural products, so the development of the detection and early warning work of the crop pests has important significance for the agricultural development of China. In recent years, the destructive insect pest caused by insects has spread in some areas of our country, causing serious damage to some areas. Insects act as vectors of transmission of pest diseases, and their control is considered to be the key to controlling pests.
Researchers have long sought to improve upon existing detection systems. For example, chinese patent document discloses a disease and pest monitoring and early warning system based on a cloud computing platform [ patent publication No.: CN108040109A ], the system comprises a wireless sensor network, a cloud computing platform and an alarm, wherein sensor nodes of the wireless sensor network are scattered in an agricultural area needing pest monitoring; the convergence node of the wireless sensor network is in communication connection with the cloud computing platform; the cloud computing platform is used for storing the insect pest monitoring data collected by the sensor nodes, analyzing and processing the insect pest monitoring data, and driving the alarm to give an alarm when the insect pest monitoring data are abnormal. The wireless sensor network in the system is only distributed in the agricultural area needing pest monitoring, so that the monitoring area of the system is limited; the cloud computing platform is used for storing the insect pest monitoring data, so that the data storage capacity and the subsequent data utilization capacity of the system are not strong, and the accuracy and the effectiveness of insect pest monitoring are required to be improved.
The above-mentioned scheme has solved the not enough of current monitoring system to a certain extent, but still lacks in the aspect of the accuracy of monitoring area, data storage and pest prediction, therefore still is worth improving the place.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a disease and pest monitoring and early warning system based on a cloud computing platform to solve the problems in the background technology.
The purpose of the invention can be realized by the following technical scheme: a pest and disease monitoring and early warning system based on a cloud computing platform comprises the cloud computing platform, an image monitoring module, an environment monitoring module and an information perception module;
the environment monitoring module is used for acquiring the environmental information of a monitoring area, the environment monitoring module comprises a temperature monitoring node, a humidity monitoring node, an illumination monitoring node and a wind speed monitoring node, and the specific monitoring steps are as follows:
the method comprises the following steps: monitoring an agricultural area needing to be monitored for plant diseases and insect pests in real time by using a temperature monitoring node, a humidity monitoring node, an illumination monitoring node and a wind speed monitoring node, and sending acquired monitoring data to a cloud computing platform, wherein the monitoring data comprises temperature, humidity, illumination, wind speed and corresponding monitoring time;
step two: after the cloud computing platform receives the monitoring data of the environment monitoring module, the temperature, the humidity, the illumination and the wind speed are respectively marked as Tt、Ht、It、WtT is monitoring time;
step three: obtaining environmental coefficient E of pest region to be monitored by using formulacThe calculation formula is
T, H, I and W are respectively the ratio of the upper limit and the lower limit of the temperature, the humidity, the illumination and the wind speed, alpha, beta and gamma are specific proportionality coefficients, and simultaneously, the monitoring data monitored by the environment monitoring module and the environment coefficients are sent to the data storage module;
step four: when the environmental coefficient is within the range of the set threshold value, the cloud computing platform generates a starting instruction and sends the starting instruction to the image monitoring module, and simultaneously, monitoring data, the environmental coefficient and an instruction generating record which are monitored by the environmental monitoring module are sent to the data storage module; when the environmental coefficient is not within the set threshold range, sending the monitoring data and the environmental coefficient monitored by the environmental monitoring module to the data storage module;
the image monitoring module is used for acquiring ground images of a monitoring area, the monitoring area comprises an agricultural area needing monitoring diseases and insect pests and peripheral areas thereof, and the image monitoring module specifically comprises the following steps:
s1: after receiving an instruction sent by a cloud computing platform, an image monitoring module acquires satellite images of a monitoring area by using a multi-source satellite, acquires the satellite images once at the morning eight hours, the afternoon four hours and the midnight zero point every day, and sends the acquired satellite images and the acquired image time to the cloud computing platform;
s2: the satellite images are preprocessed after being received by the cloud computing platform, pest number information is extracted according to the preprocessed images, and the pest number extracted from the satellite images acquired at eight am, four pm and half night of each day is marked as M1d、M2dAnd M3dD is the corresponding acquisition time, and the preprocessing comprises radiometric calibration, geometric correction, atmospheric correction and image fusion;
s3: using formulas
Obtaining the incidence coefficient N of plant diseases and insect pestsdWherein rho, sigma and tau are specific proportionality coefficients;
s4: when the pest occurrence coefficient is larger than a set threshold value, the cloud computing platform generates a starting instruction and a display instruction which are respectively sent to the information perception module and the intelligent terminal module, and meanwhile, the pest number mark, the pest occurrence coefficient and the instruction generation record are sent to the data storage module; when the pest occurrence coefficient is smaller than or equal to a set threshold value, the cloud computing platform sends the pest number mark and the pest occurrence coefficient to the data storage module;
the information perception module is used for monitoring the scale of plant diseases and insect pests in an agricultural area needing to monitor the plant diseases and insect pests, the information perception module comprises a sound monitoring node and a perception monitoring node, and the specific monitoring steps are as follows:
SS 1: after receiving an instruction sent by a cloud computing platform, an information perception module respectively acquires sound information and perception information by using a sound monitoring node and a perception monitoring node, wherein the sound information is the number of wave crests in a sound fragment acquired within one minute, and the period of the sound information is marked as SiI ═ 1, 2, … …, n; i represents the number of sound detection nodes; the perception information is the vibration frequency acquired in one minute, and the perception information is marked as PjJ is 1, 2, … …, m; j represents the number of perceptual monitoring nodes;
SS 2: using formulas
Obtaining a pest scale coefficient P of the monitored agricultural areasWhere theta, mu,
Is a specific proportionality coefficient;
SS 3: when the pest scale coefficient is larger than a set threshold value, the cloud computing platform generates an instruction to be sent to the intelligent terminal module and the alarm driving module, and sends the acquired sound information, the acquired perception information, the pest scale coefficient and the instruction generation record to the data storage module; and when the pest scale coefficient is smaller than or equal to the set threshold, sending the acquired sound information, the acquired perception information and the pest scale coefficient to the data storage module.
Preferably, the system further comprises a data query module, wherein the data query module is configured to query the monitoring data stored in the data storage module, and the specific query step is as follows:
SSS 1: a user inputs a query keyword to a data query module through an intelligent terminal;
SSS 2: after receiving the query keywords, the data query module searches the keywords in the information storage module through the query keywords and acquires corresponding data;
SSS 3: and the data storage module sends all the data searched according to the keywords to an intelligent terminal of the user through the cloud computing platform, and the user uses the intelligent terminal to check the data.
Preferably, the data storage module comprises a K1 memory, a K2 memory, a K3 memory and a K4 memory, wherein the K1 memory is used for storing temperature, humidity, illumination, wind speed, monitoring time and environment coefficients, the K2 memory is used for storing pest number marks, pest occurrence coefficients and interaction records of the image monitoring module and other modules, the K3 memory is used for storing sound information, perception information, pest scale coefficients and interaction records of the information perception module and other modules, and the K4 memory is used for storing other data in the working process of the system, wherein the other data are temporary data generated when the system runs.
Preferably, the alarm driving module sends an alarm according to an instruction sent by the cloud computing platform.
Preferably, the intelligent terminal module is used for displaying a monitoring result of the pest monitoring system, and the intelligent terminal comprises an intelligent mobile phone, a notebook computer and an intelligent television.
Preferably, the image monitoring module, the environment monitoring module and the information perception module are in communication connection with the cloud computing platform.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the pest and disease monitoring and early warning system based on the cloud computing platform, due to the fact that the environment monitoring module is added, the design detects a monitoring area from the perspective of pest living environment, and the purpose of monitoring pests and diseases from the source is achieved;
2. the invention is provided with an image monitoring module, on the basis of the environment monitoring module, the design shoots the ground image of a monitored area, and the time of occurrence of plant diseases and insect pests is obtained through processing of a cloud computing platform; because the information perception module is arranged, the design carries out sound and perception monitoring on the agricultural area needing to be monitored for the plant diseases and insect pests, the scale of the occurrence of the plant diseases and insect pests is obtained after the agricultural area is processed by the cloud computing platform, and the design realizes quantitative early warning of the plant diseases and insect pests;
3. the intelligent terminal is also provided with an alarm driving module, and the alarm driving module sends an alarm to the intelligent terminal after receiving the instruction sent by the cloud computing platform, so that the early warning function of the system is realized; the invention also provides a data storage module, and the design aims to make up the defect of the storage capacity of the cloud computing platform, so that the system is more complete and stable.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The purpose of the invention can be realized by the following technical scheme: a pest and disease monitoring and early warning system based on a cloud computing platform comprises the cloud computing platform, an image monitoring module, an environment monitoring module and an information perception module;
the environment monitoring module is used for acquiring the environmental information of a monitoring area, the environment monitoring module comprises a temperature monitoring node, a humidity monitoring node, an illumination monitoring node and a wind speed monitoring node, and the specific monitoring steps are as follows:
the method comprises the following steps: monitoring an agricultural area needing to be monitored for plant diseases and insect pests in real time by using a temperature monitoring node, a humidity monitoring node, an illumination monitoring node and a wind speed monitoring node, and sending acquired monitoring data to a cloud computing platform, wherein the monitoring data comprises temperature, humidity, illumination, wind speed and corresponding monitoring time;
step two: after the cloud computing platform receives the monitoring data of the environment monitoring module, the temperature, the humidity, the illumination and the wind speed are respectively marked as Tt、Ht、It、WtT is monitoring time;
step three: obtaining environmental coefficient E of pest region to be monitored by using formulacThe calculation formula is
T, H, I and W are respectively the ratio of the upper limit and the lower limit of the temperature, the humidity, the illumination and the wind speed, alpha, beta and gamma are specific proportionality coefficients, and simultaneously, the monitoring data monitored by the environment monitoring module and the environment coefficients are sent to the data storage module;
step four: when the environmental coefficient is within the range of the set threshold value, the cloud computing platform generates a starting instruction and sends the starting instruction to the image monitoring module, and simultaneously, monitoring data, the environmental coefficient and an instruction generating record which are monitored by the environmental monitoring module are sent to the data storage module; when the environmental coefficient is not within the set threshold range, sending the monitoring data and the environmental coefficient monitored by the environmental monitoring module to the data storage module;
the image monitoring module is used for acquiring ground images of a monitoring area, the monitoring area comprises an agricultural area needing monitoring diseases and insect pests and peripheral areas thereof, and the image monitoring module specifically comprises the following steps:
s1: after receiving an instruction sent by a cloud computing platform, an image monitoring module acquires satellite images of a monitoring area by using a multi-source satellite, the satellite images are acquired once at the morning eight, afternoon four and midnight zero point every day, the acquired satellite images and the acquired image time are sent to the cloud computing platform, and preprocessing comprises radiometric calibration, geometric correction, atmospheric correction and image fusion;
s2: the cloud computing platform receives the satellite image and then carries out the satellite imagePreprocessing, extracting pest number information according to the preprocessed images, and respectively marking the pest number extracted from satellite images acquired at eight am, four pm and midnight zero point every day as M1d、M2dAnd M3dD is the corresponding acquisition time;
s3: using formulas
Obtaining the incidence coefficient N of plant diseases and insect pestsdWherein rho, sigma and tau are specific proportionality coefficients;
s4: when the pest occurrence coefficient is larger than a set threshold value, the cloud computing platform generates a starting instruction and a display instruction which are respectively sent to the information perception module and the intelligent terminal module, and meanwhile, the pest number mark, the pest occurrence coefficient and the instruction generation record are sent to the data storage module; when the pest occurrence coefficient is smaller than or equal to a set threshold value, the cloud computing platform sends the pest number mark and the pest occurrence coefficient to the data storage module;
the information perception module is used for monitoring the scale of plant diseases and insect pests in an agricultural area needing to monitor the plant diseases and insect pests, the information perception module comprises a sound monitoring node and a perception monitoring node, and the specific monitoring steps are as follows:
SS 1: after receiving an instruction sent by a cloud computing platform, an information perception module respectively acquires sound information and perception information by using a sound monitoring node and a perception monitoring node, wherein the sound information is the number of wave crests in a sound fragment acquired within one minute, and the period of the sound information is marked as SiI ═ 1, 2, … …, n; i represents the number of sound detection nodes; the perception information is the vibration frequency acquired in one minute, and the perception information is marked as PjJ is 1, 2, … …, m; j represents the number of perceptual monitoring nodes;
SS 2: using formulas
Obtaining a pest scale coefficient P of the monitored agricultural areasWhere theta, mu,
Is a specific proportionality coefficient;
SS 3: when the pest scale coefficient is larger than a set threshold value, the cloud computing platform generates an instruction to be sent to the intelligent terminal module and the alarm driving module, and sends the acquired sound information, the acquired perception information, the pest scale coefficient and the instruction generation record to the data storage module; and when the pest scale coefficient is smaller than or equal to the set threshold, sending the acquired sound information, the acquired perception information and the pest scale coefficient to the data storage module.
Further, the system also comprises a data query module, wherein the data query module is used for querying the monitoring data stored by the data storage module, and the specific query steps are as follows:
SSS 1: a user inputs a query keyword to a data query module through an intelligent terminal;
SSS 2: after receiving the query keywords, the data query module searches the keywords in the information storage module through the query keywords and acquires corresponding data;
SSS 3: and the data storage module sends all the data searched according to the keywords to an intelligent terminal of the user through the cloud computing platform, and the user uses the intelligent terminal to check the data.
Further, the data storage module comprises a K1 memory, a K2 memory, a K3 memory and a K4 memory, wherein the K1 memory is used for storing temperature, humidity, illumination, wind speed, monitoring time and environment coefficients, the K2 memory is used for storing pest number marks, pest occurrence coefficients and interaction records of the image monitoring module and other modules, the K3 memory is used for storing sound information, perception information, pest scale coefficients and interaction records of the information perception module and other modules, and the K4 memory is used for storing other data in the working process of the system, wherein the other data are temporary data generated when the system runs.
Further, the alarm driving module sends out an alarm according to the instruction sent by the cloud computing platform.
Furthermore, the intelligent terminal module is used for displaying the monitoring result of the disease and pest monitoring system, and the intelligent terminal comprises an intelligent mobile phone, a notebook computer and an intelligent television.
Further, the image monitoring module, the environment monitoring module and the information perception module are in communication connection with the cloud computing platform.
The above formulas are all quantitative calculation, the formula is a formula obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The working principle of the invention is as follows:
the environment monitoring module monitors the environment information of a monitored area, sends the monitored temperature, humidity, illumination and wind speed data to the cloud computing platform for processing, and the cloud computing platform acquires an environment coefficient EcThen comparing the environment coefficient with a set threshold value, if the environment coefficient is within the range of the set threshold value, generating a starting instruction by the cloud computing platform and sending the starting instruction to the image monitoring module, and sending the monitored and calculated data to the data storage module;
the image monitoring module shoots the ground of the monitored area in different time periods, the shot ground image is sent to the cloud computing platform to be processed, the cloud computing platform obtains the pest and disease occurrence coefficient and then compares the pest and disease occurrence coefficient with a set threshold value for analysis, when the pest and disease occurrence coefficient is larger than the set threshold value, the cloud computing platform sends an instruction to the information sensing module and the intelligent terminal module, and meanwhile, the monitored and calculated data are sent to the data storage module;
the information perception module obtains sound information and perception information of an agricultural area needing monitoring of plant diseases and insect pests, the sound information and the perception information are sent to the cloud computing platform, after the cloud computing platform obtains plant disease and insect pest scale coefficients, the cloud computing platform compares the plant disease and insect pest scale coefficients with a set threshold value for analysis, when the plant disease and insect pest scale coefficients are larger than the set threshold value, the cloud computing platform sends instructions to the intelligent terminal module and the alarm driving module, the intelligent terminal module displays the plant disease and insect pest information, and the alarm driving module sends an alarm according to a plant disease and insect pest.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms 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 utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. A pest and disease monitoring and early warning system based on a cloud computing platform is characterized by comprising the cloud computing platform, an image monitoring module, an environment monitoring module and an information perception module;
the environment monitoring module is used for obtaining the environmental information of the agricultural area needing monitoring diseases and insect pests, the environment monitoring module comprises a temperature monitoring node, a humidity monitoring node, an illumination monitoring node and a wind speed monitoring node, and the specific monitoring steps are as follows:
the method comprises the following steps: monitoring an agricultural area needing to be monitored for plant diseases and insect pests in real time by using a temperature monitoring node, a humidity monitoring node, an illumination monitoring node and a wind speed monitoring node, and sending acquired monitoring data to a cloud computing platform, wherein the monitoring data comprises temperature, humidity, illumination, wind speed and corresponding monitoring time;
step two: after the cloud computing platform receives the monitoring data of the environment monitoring module, the temperature, the humidity, the illumination and the wind speed are respectively marked as Tt、Ht、It、WtT is monitoring time;
step three: obtaining environmental coefficient E of pest region to be monitored by using formulacThe calculation formula is
Wherein T, H, I and W are the upper limits of temperature, humidity, light and wind speed, respectivelyAnd the lower limit ratio, alpha, beta and gamma, are specific proportionality coefficients, and simultaneously send the monitoring data and the environment coefficient monitored by the environment monitoring module to the data storage module;
step four: when the environmental coefficient is within the range of the set threshold value, the cloud computing platform generates a starting instruction and sends the starting instruction to the image monitoring module, and simultaneously, monitoring data, the environmental coefficient and an instruction generating record which are monitored by the environmental monitoring module are sent to the data storage module; when the environmental coefficient is not within the set threshold range, sending the monitoring data and the environmental coefficient monitored by the environmental monitoring module to the data storage module;
the image monitoring module is used for acquiring ground images of a monitoring area, the monitoring area comprises an agricultural area needing monitoring diseases and insect pests and peripheral areas thereof, and the image monitoring module specifically comprises the following steps:
s1: after receiving an instruction sent by a cloud computing platform, an image monitoring module acquires satellite images of a monitoring area by using a multi-source satellite, acquires the satellite images once at the morning eight hours, the afternoon four hours and the midnight zero point every day, and sends the acquired satellite images and the acquired image time to the cloud computing platform;
s2: the satellite images are preprocessed after being received by the cloud computing platform, pest number information is extracted according to the preprocessed images, and the pest number extracted from the satellite images acquired at eight am, four pm and half night of each day is marked as M1d、M2dAnd M3dD is the corresponding acquisition time;
s3: using formulas
Obtaining the incidence coefficient N of plant diseases and insect pestsdWherein rho, sigma and tau are specific proportionality coefficients;
s4: when the pest occurrence coefficient is larger than a set threshold value, the cloud computing platform generates a starting instruction and a display instruction which are respectively sent to the information perception module and the intelligent terminal module, and meanwhile, the pest number mark, the pest occurrence coefficient and the instruction generation record are sent to the data storage module; when the pest occurrence coefficient is smaller than or equal to a set threshold value, the cloud computing platform sends the pest number mark and the pest occurrence coefficient to the data storage module;
the information perception module is used for monitoring the scale of plant diseases and insect pests in an agricultural area needing to monitor the plant diseases and insect pests, the information perception module comprises a sound monitoring node and a perception monitoring node, and the specific monitoring steps are as follows:
SS 1: after receiving an instruction sent by a cloud computing platform, an information perception module respectively acquires sound information and perception information by using a sound monitoring node and a perception monitoring node, wherein the sound information is the number of wave crests in a sound fragment acquired within one minute, and the period of the sound information is marked as SiI ═ 1, 2, … …, n; i represents the number of sound detection nodes; the perception information is the vibration frequency acquired in one minute, and the perception information is marked as PjJ is 1, 2, … …, m; j represents the number of perceptual monitoring nodes;
SS 2: using formulas
Obtaining a pest scale coefficient P of the monitored agricultural areasWhere theta, mu,
Is a specific proportionality coefficient;
SS 3: when the pest scale coefficient is larger than a set threshold value, the cloud computing platform generates an instruction to be sent to the intelligent terminal module and the alarm driving module, and sends the acquired sound information, the acquired perception information, the pest scale coefficient and the instruction generation record to the data storage module; and when the pest scale coefficient is smaller than or equal to the set threshold, sending the acquired sound information, the acquired perception information and the pest scale coefficient to the data storage module.
2. A disease and pest monitoring and early warning system based on a cloud computing platform as claimed in claim 1, wherein the system further comprises a data query module, the data query module is used for querying the monitoring data stored by the data storage module, and the specific query steps are as follows:
SSS 1: a user inputs a query keyword to a data query module through an intelligent terminal;
SSS 2: after receiving the query keywords, the data query module searches the keywords in the information storage module through the query keywords and acquires corresponding data;
SSS 3: and the data storage module sends all the data searched according to the keywords to an intelligent terminal of the user through the cloud computing platform, and the user uses the intelligent terminal to check the data.
3. A disease and pest monitoring and early warning system based on a cloud computing platform as claimed in claim 1, wherein the data storage module comprises a K1 memory, a K2 memory, a K3 memory and a K4 memory, the K1 memory is used for storing temperature, humidity, illumination, wind speed, monitoring time and environment coefficients, the K2 memory is used for storing pest number marks, pest occurrence coefficients and interaction records of the image monitoring module and other modules, the K3 memory is used for storing sound information, perception information, pest scale coefficients and interaction records of the information perception module and other modules, the K4 memory is used for storing other data in the working process of the system, and the other data are temporary data generated during the operation of the system.
4. A pest monitoring and early warning system based on a cloud computing platform according to claim 1, wherein the alarm driving module sends out an alarm according to an instruction sent by the cloud computing platform.
5. A pest monitoring and early warning system based on a cloud computing platform according to claim 1, wherein the intelligent terminal module is used for displaying a monitoring result of the pest monitoring system, and the intelligent terminal comprises an intelligent mobile phone, a notebook computer and an intelligent television.
6. A pest monitoring and early warning system based on a cloud computing platform according to claim 1, wherein the image monitoring module, the environment monitoring module and the information perception module are in communication connection with the cloud computing platform.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112903010A (en) * | 2021-01-15 | 2021-06-04 | 启源渔业科技有限公司 | Intelligent pest and disease monitoring and preventing method |
| CN113273555A (en) * | 2021-06-15 | 2021-08-20 | 米恩基(浙江)传感科技有限公司 | Artificial intelligence insect situation prediction system and prediction method |
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