CN109850149A - A kind of grain depot inspection system based on unmanned flight's device technique - Google Patents
A kind of grain depot inspection system based on unmanned flight's device technique Download PDFInfo
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Abstract
The invention discloses a kind of grain depot inspection systems based on unmanned flight's device technique, comprising: unmanned flight's device, grain condition monitoring system and remote service platform；Wherein, unmanned flight's device includes: data acquisition module and wireless communication module；Wherein, data acquisition module includes: remote radio frequency submodule；Grain condition monitoring system includes: RF transmitter；The grain feelings data that remote radio frequency submodule receives and storage RF transmitter is sent；Then module is uploaded to remote service platform by wireless communication.Unmanned flight's device carries out low latitude inspection according to default route, to each grain depot；Data acquisition module is written by RF transmitter, by the grain feelings data of the grain depot in the grain condition monitoring system data aggregation node of each grain depot；Data are real-time transmitted to remote server platform by wireless transport module according to wireless communication status, selection by unmanned flight's device；Or carry out offline inspection, to designated place after carry out bulk transfer again.
Description
Technical Field
The invention relates to the field of intelligent grain depot management, in particular to a grain depot patrol system based on unmanned aerial vehicle technology.
Background
China is a large country for grain production and consumption, and grain safety concerns the national civilian life. The safety of the grain depot which is the most important link in the middle of grain circulation is more important. In order to ensure the safety of grain storage in a grain depot, a grain condition monitoring system is used in partial grain depots in China at present, and the system can monitor the temperature, humidity, insect pests and fumigation conditions inside and outside the grain depot and can also detect and alarm emergency conditions such as fire and the like. The grain condition monitoring system transmits the monitoring data to the central server through a wired or wireless network, and the intelligent management of the grain depot is realized by matching with an analysis strategy.
Because the area of China is large, the number of grain depots is large, and the environment is very complicated, the grain condition monitoring system adopting the wireless or wired communication mode often has the problems of inconvenient wiring, poor ground wireless signal quality, unstable communication and the like in practical implementation. Therefore, under the condition that stable and automatic inspection cannot be carried out in the grain depot, manual inspection is required to be matched. The grain depot area is generally very large, the manual mode wastes time and labor, and the efficiency is extremely low. How to ensure the inspection quality of the grain depot in a complex environment and improve the inspection efficiency is a problem to be solved urgently in grain depot management.
Disclosure of Invention
The invention aims to solve the defects in the prior art.
In order to achieve the purpose, the invention discloses a grain depot patrol system based on unmanned flight device technology, which comprises: the system comprises an unmanned aerial vehicle device, a grain condition monitoring system and a remote service platform; wherein,
unmanned aerial vehicle device includes: the system comprises a data acquisition module and a wireless communication module; wherein, the data acquisition module includes: a remote radio frequency sub-module;
grain condition monitoring system includes: a radio frequency transmitting device;
the remote radio frequency sub-module receives and stores grain condition data sent by the radio frequency transmitting device; and then uploaded to a remote service platform through a wireless communication module.
Preferably, the unmanned aerial vehicle further comprises: a power supply module; the power supply module comprises a polymer lithium battery and a solar panel; the power supply mode can be freely switched according to the weather condition, and the cruising ability of the unmanned aerial vehicle is improved.
Preferably, the unmanned aerial vehicle further comprises: the device comprises an alarm module, a positioning and obstacle avoiding module and a speed and course detection module; wherein,
the alarm module judges whether the running state of the unmanned aerial vehicle and the state of the grain condition monitoring system are normal or not by setting a threshold value, and if the running state of the unmanned aerial vehicle and/or the state of the grain condition monitoring system are abnormal, the alarm module sends an alarm signal and uploads the alarm signal to the remote service platform through the wireless communication module;
the location and keep away barrier module includes: a satellite positioning sub-module and a radar; the system comprises a speed and course detection module, a position and a course detection module, wherein the speed and course detection module is used for determining the real-time position of the unmanned aerial device, detecting the environment around the unmanned aerial device and sending the real-time position to the speed and course detection module;
the speed and course detection module comprises: a navigational speed detection submodule and a course detection submodule; the unmanned aerial vehicle is used for controlling the speed and the heading of the unmanned aerial vehicle.
Preferably, the data acquisition module further comprises: a video acquisition submodule; the video acquisition submodule is specifically a camera and is used for shooting and uploading pictures and/or videos according to preset and/or through a wireless communication module according to control signals of the remote service platform.
Preferably, the remote radio frequency sub-module comprises: a remote radio frequency card and a card reader; the remote radio frequency card is used for receiving and storing the grain condition data sent by the radio frequency transmitting device, and the card reader is used for reading the grain condition data received by the remote radio frequency card and sending the grain condition data to the wireless communication module.
When the network state of the wireless communication module is good, uploading grain condition data in real time; when the network state of the wireless communication module is not good, the remote radio frequency card starts an offline storage function to store the grain condition data, and when the network state is recovered well, the grain condition data are uploaded.
Preferably, the remote service platform is used for controlling the unmanned aerial vehicle; the method comprises the following steps: parameter setting, path setting and remote control; wherein,
the parameter setting comprises the following steps: setting inspection height, inspection speed, inspection cycle and alarm threshold;
the remote control includes: and controlling the flight state of the unmanned aerial vehicle in real time and controlling the shooting and/or recording of the video acquisition sub-module.
Preferably, the remote service platform is also used for data processing; the method comprises the following steps: real-time data query, historical data query and data analysis; wherein,
the real-time data query comprises the following steps: the unmanned aerial vehicle real-time data query and the grain condition real-time data query are carried out;
the historical data query comprises: querying historical inspection data and historical grain condition data of the unmanned aerial vehicle;
the data analysis comprises the following steps: and (4) grain situation prediction and management strategy suggestion.
The invention has the advantages that: the method comprises the following steps of utilizing an unmanned aerial device to conduct low-altitude inspection on each grain depot according to a preset route; the grain condition monitoring system data sink node of each grain depot writes the grain condition data of the grain depot into a remote radio frequency card of the unmanned aerial device through a radio frequency transmitting device; the unmanned aerial vehicle selects to transmit the data in the radio frequency card to a remote server platform in real time through a wireless transmission module according to the wireless communication condition; or off-line inspection is carried out, and batch transmission is carried out after the target site is reached; the remote server platform stores and analyzes the received data, and a user can log in the platform to perform remote monitoring and data analysis.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of a grain depot patrol system based on unmanned aerial vehicle technology;
fig. 2 is a functional block diagram of a remote service platform according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. 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.
Fig. 1 is a block diagram of a grain depot patrol system based on unmanned aerial vehicle technology. As shown in fig. 1, a grain depot patrol system based on unmanned aerial vehicle technology includes: unmanned aerial vehicle device, grain condition monitoring system and remote service platform.
Unmanned aerial vehicle device includes: the device comprises a power supply module, a data acquisition module, a wireless communication module, an alarm module, a positioning and obstacle avoidance module and a speed and course detection module. Wherein,
the power supply module comprises a polymer lithium battery and a solar panel; the power supply mode can be freely switched according to the weather condition, and the cruising ability of the unmanned aerial vehicle is improved.
Specifically, the battery core capacity of the polymer lithium battery is 18000mA "h (3.7v), and the battery protection board is matched with multiple safety designs of temperature, short circuit and various circuit protection; the solar cell panel adopts a 100w single crystal silicon solar cell panel, and the photoelectric conversion rate is 18%.
The data acquisition module includes: a remote radio frequency sub-module and a video acquisition sub-module.
The remote radio frequency sub-module comprises: a remote radio frequency card and a card reader; the remote radio frequency card is used for receiving and storing the grain condition data sent by the radio frequency transmitting device, and the card reader is used for reading the grain condition data received by the remote radio frequency card and sending the grain condition data to the wireless communication module.
Specifically, the remote radio frequency card adopts a 2.4GHz active radio frequency card, and the card reading distance is 0-150 m.
The video acquisition submodule is specifically a camera and is used for shooting and uploading pictures and/or videos according to preset and/or through a wireless communication module according to control signals of the remote service platform.
Specifically, the camera adopts a 360-degree fisheye camera.
The wireless communication module is used for receiving signals sent by the remote service platform and sending data to the remote service platform. And transmitting data by adopting a GPRS or 4G mode.
The alarm module judges whether the running state of the unmanned aerial vehicle and the state of the grain condition monitoring system are normal or not by setting a threshold value, and if the running state of the unmanned aerial vehicle and/or the state of the grain condition monitoring system are abnormal, the alarm module sends an alarm signal and uploads the alarm signal to the remote service platform through the wireless communication module.
The location and keep away barrier module includes: a satellite positioning sub-module and a radar; the system is used for determining the real-time position of the unmanned aerial vehicle, detecting the environment around the unmanned aerial vehicle and sending the real-time position to the speed and course detection module.
Specifically, the satellite positioning sub-module adopts a GPS satellite positioning system or a Beidou satellite positioning system and is used for positioning and cruising of the unmanned aerial vehicle; the radar adopts a laser radar, the detection angle of the laser radar is 360 degrees, the detection range is not less than 10 meters, and the laser radar is used for detecting the obstacles in the cruising of the unmanned aerial vehicle.
The speed and course detection module comprises: a navigational speed detection submodule and a course detection submodule; the unmanned aerial vehicle is used for controlling the speed and the heading of the unmanned aerial vehicle.
Specifically, the speed detection submodule adopts a miniature differential digital airspeed meter, such as a Pixhawk OX4 type differential airspeed tube, and is used for detecting the speed of the unmanned aerial device in the flying process; the course detection sub-module adopts a micro digital gyroscope or a three-axis angular velocity sensor, such as an MPU6050 module three-dimensional angular sensor, and is used for detecting the direction of the unmanned aerial vehicle in the flight process.
Grain condition monitoring system includes: and a radio frequency transmitting device.
Specifically, a radio frequency transmitting device is additionally arranged on the basis of the existing grain condition monitoring system, and a unidirectional transmitting/receiving relation is formed between the radio frequency transmitting device and a remote radio frequency sub-module.
The remote radio frequency sub-module receives and stores grain condition data sent by the radio frequency transmitting device; and then uploaded to a remote service platform through a wireless communication module.
When the network state of the wireless communication module is good, uploading grain condition data in real time; when the network state of the wireless communication module is not good, the remote radio frequency card starts an offline storage function to store the grain condition data, and when the network state is recovered well, the grain condition data are uploaded.
Fig. 2 is a functional block diagram of a remote service platform according to an embodiment of the present invention, as shown in fig. 2.
The remote service platform is used for controlling the unmanned aerial vehicle; the method comprises the following steps: parameter setting, path setting and remote control; wherein,
the parameter setting comprises the following steps: setting inspection height, inspection speed, inspection cycle and alarm threshold;
the remote control includes: and controlling the flight state of the unmanned aerial vehicle in real time and controlling the shooting and/or recording of the video acquisition sub-module.
The remote service platform is also used for data processing; the method comprises the following steps: real-time data query, historical data query and data analysis; wherein,
the real-time data query comprises the following steps: the unmanned aerial vehicle real-time data query and the grain condition real-time data query are carried out;
the historical data query comprises: querying historical inspection data and historical grain condition data of the unmanned aerial vehicle;
the data analysis comprises the following steps: and (4) grain situation prediction and management strategy suggestion.
In particular, the remote service platform employs a layered B/S software architecture. The user can access the remote service platform through a computer or a smart phone and other devices.
On the remote service platform, a user can check the conditions of the unmanned aerial vehicle, such as the speed, the course, the position and the electric quantity; the grain condition monitored by the unmanned aerial vehicle device, alarm information sent by the unmanned aerial vehicle device and the like can be checked.
The user can also set working parameters of the unmanned aerial vehicle, such as a target position, a cruising period, a cruising altitude speed, an alarm threshold value, a path setting and the like, wherein the path setting can be that the unmanned aerial vehicle patrols the grain depot according to a preset route, reads grain situation data of each grain depot according to the preset condition in the process of patrolling and examining, shoots the peripheral real situation of the grain depot according to the requirement of the user, and uploads the data in real time or off-line storage according to the network condition or the preset condition and uploads the data to a remote service platform.
The user may also view big data prediction scenarios. The system can establish a proper quantitative model for grain condition comprehensive diagnosis and evaluation according to data monitored by the unmanned aerial vehicle and by combining historical data. Quantitatively clarifying the causal relationship between grain bin grain situation change and the environment from the angle of relevance of time and space of each index, predicting whether storage accidents occur or not, and providing early warning and related preventive measure suggestions for users.
The invention provides a grain depot patrol system based on unmanned aerial vehicle technology, which utilizes an unmanned aerial vehicle to carry out low-altitude patrol on each grain depot according to a preset route; the grain condition monitoring system data sink node of each grain depot writes the grain condition data of the grain depot into a remote radio frequency card of the unmanned aerial device through a radio frequency transmitting device; the unmanned aerial vehicle selects to transmit the data in the radio frequency card to a remote server platform in real time through a wireless transmission module according to the wireless communication condition; or off-line inspection is carried out, and batch transmission is carried out after the target site is reached; the remote server platform stores and analyzes the received data, and a user can log in the platform to perform remote monitoring and data analysis.
The power supply module in the system adopts the combination of two power supply modes of a polymer lithium battery and a solar cell panel, so that the endurance of the unmanned aerial vehicle can be ensured to the greatest extent. For example, in a continuous rainy day, if the solar panel cannot function, the solar panel can be powered by a lithium battery; the course distance is too long, and the electric quantity of the lithium battery is exhausted, so that the solar cell panel can be used for charging, and the unmanned aerial vehicle is ensured to continue sailing.
The above embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, it should be understood that the above embodiments are merely exemplary embodiments of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (8)
1. A grain depot patrol system based on unmanned aerial vehicle technology comprises: the system comprises an unmanned aerial vehicle device, a grain condition monitoring system and a remote service platform; which is characterized in that, among others,
the unmanned aerial vehicle device includes: the system comprises a data acquisition module and a wireless communication module; wherein, the data acquisition module includes: a remote radio frequency sub-module;
the grain condition monitoring system comprises: a radio frequency transmitting device;
the remote radio frequency sub-module receives and stores the grain condition data sent by the radio frequency transmitting device; and then uploaded to the remote service platform through the wireless communication module.
2. The system of claim 1, wherein the unmanned aerial device further comprises: a power supply module; the power supply module comprises a polymer lithium battery and a solar panel; the power supply mode can be freely switched according to the weather condition, and the cruising ability of the unmanned aerial vehicle is improved.
3. The system of claim 1, wherein the unmanned aerial device further comprises: the device comprises an alarm module, a positioning and obstacle avoiding module and a speed and course detection module; wherein,
the alarm module judges whether the running state of the unmanned aerial vehicle and the state of the grain condition monitoring system are normal or not by setting a threshold value, and if the running state of the unmanned aerial vehicle and/or the state of the grain condition monitoring system are abnormal, the alarm module sends an alarm signal and uploads the alarm signal to the remote service platform through the wireless communication module;
the location and obstacle avoidance module includes: a satellite positioning sub-module and a radar; the system comprises a speed and course detection module, a speed and course detection module and a course detection module, wherein the speed and course detection module is used for determining the real-time position of the unmanned aerial device, detecting the environment around the unmanned aerial device and sending the real-time position to the speed and course detection module;
the speed and course detection module comprises: a navigational speed detection submodule and a course detection submodule; the unmanned aerial vehicle is used for controlling the speed and the heading of the unmanned aerial vehicle.
4. The system of claim 1, wherein the data acquisition module further comprises: a video acquisition submodule; the video acquisition submodule is specifically a camera and is used for shooting and uploading pictures and/or videos according to preset and/or through the wireless communication module according to control signals of the remote service platform.
5. The system of claim 1, wherein the remote radio frequency sub-module comprises: a remote radio frequency card and a card reader; the remote radio frequency card is used for receiving and storing the grain condition data sent by the radio frequency transmitting device, and the card reader is used for reading the grain condition data received by the remote radio frequency card and sending the grain condition data to the wireless communication module.
6. The system of claim 5, wherein the grain condition data is uploaded in real time when the wireless communication module network is in good condition; and when the network state of the wireless communication module is not good, the remote radio frequency card starts an offline storage function to store the grain condition data, and when the network state is recovered well, the grain condition data is uploaded.
7. The system of any one of claims 1 and 4, wherein the remote service platform is configured to control an unmanned aerial device; the method comprises the following steps: parameter setting, path setting and remote control; wherein,
the parameter setting includes: setting inspection height, inspection speed, inspection cycle and alarm threshold;
the remote control includes: and controlling the flight state of the unmanned aerial vehicle in real time and controlling the shooting and/or recording of the video acquisition sub-module.
8. The system of claim 1, wherein the remote service platform is further configured for data processing; the method comprises the following steps: real-time data query, historical data query and data analysis; wherein,
the real-time data query comprises: the unmanned aerial vehicle real-time data query and the grain condition real-time data query are carried out;
the historical data query comprises: querying historical inspection data and historical grain condition data of the unmanned aerial vehicle;
the data analysis comprises: and (4) grain situation prediction and management strategy suggestion.
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