CN112578806A - Logistics transportation system and method based on Internet of things - Google Patents
Logistics transportation system and method based on Internet of things Download PDFInfo
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Abstract
The invention discloses a logistics transportation system and method based on the Internet of things, relating to the technical field of logistics, wherein the system comprises: the system comprises an unmanned aerial vehicle, a control terminal, a mobile terminal and a space path device; the main control terminal is arranged at the background, and APP software is installed on the mobile terminal; the mobile terminal and the control terminal form wireless connection; the control terminal is in wireless connection with the unmanned aerial vehicles; the space path devices are provided with a plurality of space path devices which are dispersedly arranged at each destination point; the space path device is in signal connection with the unmanned aerial vehicle; the control terminal sends logistics transportation information to the unmanned aerial vehicle through a wireless signal; after the unmanned aerial vehicle receives the stream transportation information sent by the control terminal object, the unmanned aerial vehicle and the mobile terminal form a pair of wireless connection, and the unmanned aerial vehicle sends a broadcast signal to a destination point through the stream transportation information. The intelligent control system has the advantages of high efficiency, high intelligent degree and reduction of artificial burden.
Description
Technical Field
The invention relates to the technical field of logistics, in particular to a logistics transportation system and method based on the Internet of things.
Background
The concept of logistics was first developed in the united states, originating in the 30's of the 20 th century, and originally meant as "physical distribution" or "distribution of goods". Was introduced into japan in 1963, and japanese means "circulation of material". After the 70 s of the 20 th century, the term "logistics" in japan gradually replaced "circulation of logistics". The term "Logistics" in China is a foreign word introduced from Japanese data and is derived from the translation of the term "Logistics" in Japanese data. The Chinese logistic term standard defines logistics as: logistics is a process of organically combining functions such as transportation, storage, loading, unloading, transportation, packaging, distribution, information processing and the like according to actual needs to meet user requirements in the process of physically flowing articles from a supply place to a receiving place.
Logistics Management (Logistics Management) refers to planning, organizing, commanding, coordinating, controlling and supervising Logistics activities according to the flowing rule of material data entities and applying the basic principle and scientific method of Management in the social production process, so that the Logistics activities are optimally coordinated and matched to reduce Logistics cost and improve Logistics efficiency and economic benefit. Modern logistics management is based on system theory, information theory and control theory.
The existing logistics system and method often need manual operation for manual transportation. Even if adopt unmanned aerial vehicle to transport, in the transportation, also need the manual work to guide because unmanned aerial vehicle is at the flight in-process, because flight path and speed need adjust in real time according to the circumstances. Thereby resulting in slower logistics efficiency.
Disclosure of Invention
In view of this, the invention aims to provide a logistics transportation system and method based on the internet of things, which have the advantages of high efficiency, high intelligent degree and reduced labor burden.
In order to achieve the purpose, the invention adopts the following technical scheme:
a logistics transportation system based on the Internet of things, the system comprising: the system comprises an unmanned aerial vehicle, a control terminal, a mobile terminal and a space path device; the main control terminal is arranged at the background, and APP software is installed on the mobile terminal; the mobile terminal and the control terminal form wireless connection; the control terminal is in wireless connection with the unmanned aerial vehicles; the space path devices are provided with a plurality of space path devices which are dispersedly arranged at each destination point; the space path device is in signal connection with the unmanned aerial vehicle; the control terminal sends logistics transportation information to the unmanned aerial vehicle through a wireless signal; after the unmanned aerial vehicle receives the stream transportation information sent by the control terminal object, the unmanned aerial vehicle and the mobile terminal form a pair of wireless connection, and the unmanned aerial vehicle sends a broadcast signal to a target point through the stream transportation information; the space path device arranged at the destination point sends a return signal to the unmanned aerial vehicle after receiving the broadcast signal sent by the unmanned aerial vehicle, so that a pair of wireless connection is formed, and the unmanned aerial vehicle is guided to fly to the destination point.
Furthermore, the unmanned aerial vehicle comprises an unmanned aerial vehicle body, a power supply module, a lifting module, a micro-control module, a first wireless transceiver module, a second wireless transceiver module and an object locking mechanism, wherein the lifting modules are arranged on the unmanned aerial vehicle body, and at least two lifting modules are arranged on the unmanned aerial vehicle body and used for keeping the unmanned aerial vehicle body to stably ascend and descend; the power supply module is arranged in the machine body and used for providing element electric energy; the first wireless transceiving module and the second wireless transceiving module are both connected with the micro-control module, and the first wireless transceiving module receives logistics transportation information from the control terminal; after receiving the logistics transportation information, the micro control module determines the destination of the logistics transportation; a spatial path device for controlling the second wireless transceiver module to transmit the broadcast signal to the destination direction; the object locking mechanism is arranged at the upper end of the machine body and used for fixing the mailing object.
Further, the control terminal includes: the system comprises a terminal communication module, a database processor and a terminal data analysis device; the terminal communication module receives logistics transportation information from a mobile terminal and stores the received logistics transportation information into a database; the processor calculates the unmanned aerial vehicle closest to the mobile terminal sending the logistics transportation information according to the received logistics transportation information, and then sends the logistics transportation information to the unmanned aerial vehicle through the terminal communication module.
Further, the mobile terminal includes: the mobile terminal comprises a mobile terminal communication module and a data input device; after the user inputs the logistics transportation information through the data input device, the mobile terminal communication module sends the logistics transportation information to the control terminal.
Further, the power supply module includes: the solar energy power supply comprises a storage battery, a solar cell panel, a voltage regulating module and a voltage stabilizing module; the solar cell panel is used for adjusting voltage through the voltage adjusting module, stabilizing the voltage through the voltage stabilizing module and then connecting with the storage battery electrode.
A logistics transportation method based on the Internet of things performs the following steps:
step 1: after a user inputs logistics transportation information through the mobile terminal, the mobile terminal sends the logistics transportation information to the control terminal;
step 2: after receiving the logistics transportation information, the control terminal stores the received logistics transportation information into a database; calculating an unmanned aerial vehicle closest to a mobile terminal sending the logistics transportation information according to the received logistics transportation information, and then sending the logistics transportation information to the unmanned aerial vehicle;
and step 3: after the unmanned aerial vehicle receives the stream transportation information sent by the control terminal object, the unmanned aerial vehicle and the mobile terminal form a pair of wireless connection, and the unmanned aerial vehicle sends a broadcast signal to a target point through the stream transportation information; the space path device arranged at the destination point sends a return signal to the unmanned aerial vehicle after receiving the broadcast signal sent by the unmanned aerial vehicle, so that a pair of wireless connection is formed, and the unmanned aerial vehicle is guided to fly to the destination point.
Further, in the step 3: the method for guiding the unmanned aerial vehicle to fly to the destination point comprises the following steps of:
step 3.1: the space path device obtains the position information of the unmanned aerial vehicle according to the received signal, calculates and plans the flight path and the flight speed of the unmanned aerial vehicle according to the position information, and sends the calculated flight path and the calculated flight speed of the unmanned aerial vehicle to the unmanned aerial vehicle through a return signal in an information mode;
step 3.2: after the unmanned aerial vehicle receives the return signal, the micro-control module controls the unmanned aerial vehicle to fly to a destination point according to the flight path information and the flight speed information;
step 3.3: in the flight process, the unmanned aerial vehicle sends the broadcast signal to the spatial path device again at irregular time; the space path device obtains the position information of the unmanned aerial vehicle again according to the received broadcast signals, calculates and plans a new flight path and a new flight speed of the unmanned aerial vehicle again according to the position information, and sends the calculated new flight path and the calculated flight speed of the unmanned aerial vehicle to the unmanned aerial vehicle again through return signals in an information mode;
step 3.4: after the unmanned aerial vehicle receives the return signal, the micro-control module controls the unmanned aerial vehicle to fly to a destination point according to newly received flight path information and flight speed information;
further, in step 3.1: the space path device obtains the position information of the unmanned aerial vehicle according to the received signal, and the method for calculating and planning the flight path and the flight speed of the unmanned aerial vehicle according to the position information executes the following steps:
step 3.1.1: the space path device calculates the distance between the space path device and the unmanned aerial vehicle according to the position information of the unmanned aerial vehicle and the position information of the space path device, and calculates the flying speed of the unmanned aerial vehicle according to the distance and the preset time parameter;
step 3.1.2: the space path device calculates a direction included angle between the space path device and the unmanned aerial vehicle according to the position information of the unmanned aerial vehicle and the position information of the space path device, and obtains the flying direction of the unmanned aerial vehicle according to the calculated direction included angle.
Compared with the prior art, the invention has the following beneficial effects:
1. the efficiency is high: according to the invention, the flight path of the unmanned aerial vehicle is controlled in real time through the space path device, the whole process does not need manual intervention, and the space path device is adjusted according to the flight condition of the unmanned aerial vehicle in the planning process, so that the accuracy of finally reaching a destination point is ensured. The problem of low efficiency caused by manual operation is avoided.
2. The intelligent degree is high: in the implementation process of the logistics system, the user of the mobile phone terminal only needs to send the position information without any manual operation, the system automatically completes the whole logistics process, and the degree of intelligence is extremely high.
Drawings
The invention is described in further detail below with reference to the following figures and detailed description:
fig. 1 is a schematic system structure diagram of a logistics transportation system based on the internet of things according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart of a method for logistics transportation based on the internet of things according to an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure.
Please refer to fig. 1. It should be understood that the structures, ratios, sizes, and the like shown in the drawings and described in the specification are only used for matching with the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions under which the present invention can be implemented, so that the present invention has no technical significance, and any structural modification, ratio relationship change, or size adjustment should still fall within the scope of the present invention without affecting the efficacy and the achievable purpose of the present invention. In addition, the terms "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for clarity of description, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not to be construed as a scope of the present invention.
Example 1
A logistics transportation system based on the Internet of things, the system comprising: the system comprises an unmanned aerial vehicle, a control terminal, a mobile terminal and a space path device; the main control terminal is arranged at the background, and APP software is installed on the mobile terminal; the mobile terminal and the control terminal form wireless connection; the control terminal is in wireless connection with the unmanned aerial vehicles; the space path devices are provided with a plurality of space path devices which are dispersedly arranged at each destination point; the space path device is in signal connection with the unmanned aerial vehicle; the control terminal sends logistics transportation information to the unmanned aerial vehicle through a wireless signal; after the unmanned aerial vehicle receives the stream transportation information sent by the control terminal object, the unmanned aerial vehicle and the mobile terminal form a pair of wireless connection, and the unmanned aerial vehicle sends a broadcast signal to a target point through the stream transportation information; the space path device arranged at the destination point sends a return signal to the unmanned aerial vehicle after receiving the broadcast signal sent by the unmanned aerial vehicle, so that a pair of wireless connection is formed, and the unmanned aerial vehicle is guided to fly to the destination point.
Specifically, unmanned aerial vehicle express delivery, the unmanned low-altitude aircraft delivery parcel that operates through utilizing radio remote control equipment and self-contained program control device promptly, the automatic destination of arriving that reaches, its advantage mainly lies in solving the delivery problem in remote area, improves delivery efficiency, reduces the human cost simultaneously. The defects mainly lie in that no one can send goods inefficiently in severe weather, and the artificial damage can not be avoided in the flying process.
Can divide into a plurality of regions with entire system according to the comprehensive consideration of many factors such as the geographic distribution of unmanned aerial vehicle's duration, express delivery traffic, the real-time reliability of communication, the volumetric capacity and the construction cost of system, and regional inside independent operation, the cooperation is operated between the region.
Example 2
On the basis of the above embodiment, the unmanned aerial vehicle comprises an unmanned aerial vehicle body, a power supply module, at least two lifting modules, a micro control module, a first wireless transceiver module, a second wireless transceiver module and an object locking mechanism, wherein the lifting modules are arranged on the unmanned aerial vehicle body and used for keeping the unmanned aerial vehicle body to stably ascend and descend; the power supply module is arranged in the machine body and used for providing element electric energy; the first wireless transceiving module and the second wireless transceiving module are both connected with the micro-control module, and the first wireless transceiving module receives logistics transportation information from the control terminal; after receiving the logistics transportation information, the micro control module determines the destination of the logistics transportation; a spatial path device for controlling the second wireless transceiver module to transmit the broadcast signal to the destination direction; the object locking mechanism is arranged at the upper end of the machine body and used for fixing the mailing object.
Example 3
On the basis of the above embodiment, the control terminal includes: the system comprises a terminal communication module, a database processor and a terminal data analysis device; the terminal communication module receives logistics transportation information from a mobile terminal and stores the received logistics transportation information into a database; the processor calculates the unmanned aerial vehicle closest to the mobile terminal sending the logistics transportation information according to the received logistics transportation information, and then sends the logistics transportation information to the unmanned aerial vehicle through the terminal communication module.
Example 4
On the basis of the above embodiment, the mobile terminal includes: the mobile terminal comprises a mobile terminal communication module and a data input device; after the user inputs the logistics transportation information through the data input device, the mobile terminal communication module sends the logistics transportation information to the control terminal.
Example 5
On the basis of the above embodiment, the power supply module includes: the solar energy power supply comprises a storage battery, a solar cell panel, a voltage regulating module and a voltage stabilizing module; the solar cell panel is used for adjusting voltage through the voltage adjusting module, stabilizing the voltage through the voltage stabilizing module and then connecting with the storage battery electrode.
Example 6
A logistics transportation method based on the Internet of things performs the following steps:
step 1: after a user inputs logistics transportation information through the mobile terminal, the mobile terminal sends the logistics transportation information to the control terminal;
step 2: after receiving the logistics transportation information, the control terminal stores the received logistics transportation information into a database; calculating an unmanned aerial vehicle closest to a mobile terminal sending the logistics transportation information according to the received logistics transportation information, and then sending the logistics transportation information to the unmanned aerial vehicle;
and step 3: after the unmanned aerial vehicle receives the stream transportation information sent by the control terminal object, the unmanned aerial vehicle and the mobile terminal form a pair of wireless connection, and the unmanned aerial vehicle sends a broadcast signal to a target point through the stream transportation information; the space path device arranged at the destination point sends a return signal to the unmanned aerial vehicle after receiving the broadcast signal sent by the unmanned aerial vehicle, so that a pair of wireless connection is formed, and the unmanned aerial vehicle is guided to fly to the destination point.
Specifically, the path planning can be divided into global path planning based on prior complete information and local path planning based on sensor information according to the degree of confidence in the environmental information. From the viewpoint of whether the acquired obstacle information is static or dynamic, the global path planning belongs to static planning (also called offline planning), and the local path planning belongs to dynamic planning (also called online planning). The global path planning needs to master all environment information and carries out path planning according to all the information of the environment map; the local path planning only needs to acquire the environmental information in real time by a sensor, know the environmental map information and then determine the position of the map and the local obstacle distribution condition thereof, so that the optimal path from the current node to a certain sub-target node can be selected.
Example 7
On the basis of the above embodiment, in step 3: the method for guiding the unmanned aerial vehicle to fly to the destination point comprises the following steps of:
step 3.1: the space path device obtains the position information of the unmanned aerial vehicle according to the received signal, calculates and plans the flight path and the flight speed of the unmanned aerial vehicle according to the position information, and sends the calculated flight path and the calculated flight speed of the unmanned aerial vehicle to the unmanned aerial vehicle through a return signal in an information mode;
step 3.2: after the unmanned aerial vehicle receives the return signal, the micro-control module controls the unmanned aerial vehicle to fly to a destination point according to the flight path information and the flight speed information;
step 3.3: in the flight process, the unmanned aerial vehicle sends the broadcast signal to the spatial path device again at irregular time; the space path device obtains the position information of the unmanned aerial vehicle again according to the received broadcast signals, calculates and plans a new flight path and a new flight speed of the unmanned aerial vehicle again according to the position information, and sends the calculated new flight path and the calculated flight speed of the unmanned aerial vehicle to the unmanned aerial vehicle again through return signals in an information mode;
step 3.4: after the unmanned aerial vehicle receives the return signal, the micro control module controls the unmanned aerial vehicle to fly to a destination point according to newly received flight path information and flight speed information.
Example 8
On the basis of the previous embodiment, in step 3.1: the space path device obtains the position information of the unmanned aerial vehicle according to the received signal, and the method for calculating and planning the flight path and the flight speed of the unmanned aerial vehicle according to the position information executes the following steps:
step 3.1.1: the space path device calculates the distance between the space path device and the unmanned aerial vehicle according to the position information of the unmanned aerial vehicle and the position information of the space path device, and calculates the flying speed of the unmanned aerial vehicle according to the distance and the preset time parameter;
step 3.1.2: the space path device calculates a direction included angle between the space path device and the unmanned aerial vehicle according to the position information of the unmanned aerial vehicle and the position information of the space path device, and obtains the flying direction of the unmanned aerial vehicle according to the calculated direction included angle.
Specifically, when a path planning problem under a complex dynamic environment information condition is processed, inspiration from the nature often plays a good role. The intelligent bionics algorithm is an algorithm discovered by people through bionics research, and commonly used algorithms include an ant colony algorithm, a neural network algorithm, a particle swarm algorithm, a genetic algorithm and the like.
(1) The idea of Ant Colony Algorithm (called ACA for short by Ant Colony Algorithm) comes from the exploration of Ant Colony foraging behavior, each Ant forages while leaving pheromone with a certain concentration on the road, the pheromone concentration is high due to the multiple times of Ant traversal on the shortest path in the same time, and the positive feedback effect is played by the following ants when selecting the path according to the pheromone concentration, so that the shortest path with high pheromone concentration can be found quickly. The algorithm achieves the aim by simulating the behavior of foraging of the ant colony through iteration. The method has the advantages of good global optimization capability, substantial parallelism, easiness in realization by a computer and the like, but is large in calculation amount and easy to fall into a local optimal solution, and can be improved by adding elite ants and the like.
(2) The neural network algorithm is a very excellent algorithm in the field of artificial intelligence, and mainly simulates animal neural network behaviors to perform distributed parallel information processing. However, the application of the method in path planning is not successful because the complicated and varied environment in path planning is difficult to describe by using a mathematical formula, and if a neural network is used for predicting points outside the distribution space of the learning samples, the effect is necessarily very poor. Although the neural network has an excellent learning ability, the poor generalization ability is a fatal disadvantage thereof. However, due to the strong learning ability and good robustness, the combined application of the algorithm and other algorithms becomes a hot spot for the research in the field of path planning.
(3) Genetic Algorithm (GA) is an important research branch of the modern artificial intelligence science, and is a calculation model for simulating the Genetic selection and natural elimination of Darwinian in the biological evolution process. The idea of the method is derived from the natural law of the biogenetic science and the survival of the fittest, and the method is a search algorithm of an iterative process realized according to the genetic genetics principle. The method has the greatest advantages that the method is easy to combine with other algorithms, the advantage of self iteration is fully exerted, the defect is that the operation efficiency is not high, the method has inherent advantages compared with the ant colony algorithm, but the improved algorithm is a hotspot of current research.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process and related description of the system described above may refer to the corresponding process in the foregoing method embodiments, and will not be described herein again.
It should be noted that, the system provided in the foregoing embodiment is only illustrated by dividing the functional modules, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the modules or steps in the embodiment of the present invention are further decomposed or combined, for example, the modules in the foregoing embodiment may be combined into one module, or may be further split into multiple sub-modules, so as to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the modules or steps, and are not to be construed as unduly limiting the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes and related descriptions of the storage device and the processing device described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Those of skill in the art would appreciate that the various illustrative modules, method steps, and modules described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that programs corresponding to the software modules, method steps may be located in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. To clearly illustrate this interchangeability of electronic hardware and software, various illustrative components and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as electronic hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The terms "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing or implying a particular order or sequence.
The terms "comprises," "comprising," or any other similar term are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (8)
1. A logistics transportation system based on the Internet of things is characterized in that the system comprises: the system comprises an unmanned aerial vehicle, a control terminal, a mobile terminal and a space path device; the main control terminal is arranged at the background, and APP software is installed on the mobile terminal; the mobile terminal and the control terminal form wireless connection; the control terminal is in wireless connection with the unmanned aerial vehicles; the space path devices are provided with a plurality of space path devices which are dispersedly arranged at each destination point; the space path device is in signal connection with the unmanned aerial vehicle; the control terminal sends logistics transportation information to the unmanned aerial vehicle through a wireless signal; after the unmanned aerial vehicle receives the stream transportation information sent by the control terminal object, the unmanned aerial vehicle and the mobile terminal form a pair of wireless connection, and the unmanned aerial vehicle sends a broadcast signal to a target point through the stream transportation information; the space path device arranged at the destination point sends a return signal to the unmanned aerial vehicle after receiving the broadcast signal sent by the unmanned aerial vehicle, so that a pair of wireless connection is formed, and the unmanned aerial vehicle is guided to fly to the destination point.
2. The system of claim 1, wherein the unmanned aerial vehicle comprises an unmanned aerial vehicle body, a power supply module, a lifting module, a micro-control module, a first wireless transceiver module, a second wireless transceiver module and an object locking mechanism, wherein the lifting module is arranged on the unmanned aerial vehicle body, and at least two lifting modules are arranged on the unmanned aerial vehicle body and used for keeping the unmanned aerial vehicle body to ascend and descend stably; the power supply module is arranged in the machine body and used for providing element electric energy; the first wireless transceiving module and the second wireless transceiving module are both connected with the micro-control module, and the first wireless transceiving module receives logistics transportation information from the control terminal; after receiving the logistics transportation information, the micro control module determines the destination of the logistics transportation; a spatial path device for controlling the second wireless transceiver module to transmit the broadcast signal to the destination direction; the object locking mechanism is arranged at the upper end of the machine body and used for fixing the mailing object.
3. The system of claim 1, wherein the control terminal comprises: the system comprises a terminal communication module, a database processor and a terminal data analysis device; the terminal communication module receives logistics transportation information from a mobile terminal and stores the received logistics transportation information into a database; the processor calculates the unmanned aerial vehicle closest to the mobile terminal sending the logistics transportation information according to the received logistics transportation information, and then sends the logistics transportation information to the unmanned aerial vehicle through the terminal communication module.
4. The system of claim 1, wherein the mobile terminal comprises: the mobile terminal comprises a mobile terminal communication module and a data input device; after the user inputs the logistics transportation information through the data input device, the mobile terminal communication module sends the logistics transportation information to the control terminal.
5. The system of claim 2, wherein the power module comprises: the solar energy power supply comprises a storage battery, a solar cell panel, a voltage regulating module and a voltage stabilizing module; the solar cell panel is used for adjusting voltage through the voltage adjusting module, stabilizing the voltage through the voltage stabilizing module and then connecting with the storage battery electrode.
6. An internet of things-based logistics transportation method based on the system of any one of claims 1 to 5, wherein the method performs the following steps:
step 1: after a user inputs logistics transportation information through the mobile terminal, the mobile terminal sends the logistics transportation information to the control terminal;
step 2: after receiving the logistics transportation information, the control terminal stores the received logistics transportation information into a database; calculating an unmanned aerial vehicle closest to a mobile terminal sending the logistics transportation information according to the received logistics transportation information, and then sending the logistics transportation information to the unmanned aerial vehicle;
and step 3: after the unmanned aerial vehicle receives the stream transportation information sent by the control terminal object, the unmanned aerial vehicle and the mobile terminal form a pair of wireless connection, and the unmanned aerial vehicle sends a broadcast signal to a target point through the stream transportation information; the space path device arranged at the destination point sends a return signal to the unmanned aerial vehicle after receiving the broadcast signal sent by the unmanned aerial vehicle, so that a pair of wireless connection is formed, and the unmanned aerial vehicle is guided to fly to the destination point.
7. The method of claim 6, wherein in step 3: the method for guiding the unmanned aerial vehicle to fly to the destination point comprises the following steps of:
step 3.1: the space path device obtains the position information of the unmanned aerial vehicle according to the received signal, calculates and plans the flight path and the flight speed of the unmanned aerial vehicle according to the position information, and sends the calculated flight path and the calculated flight speed of the unmanned aerial vehicle to the unmanned aerial vehicle through a return signal in an information mode;
step 3.2: after the unmanned aerial vehicle receives the return signal, the micro-control module controls the unmanned aerial vehicle to fly to a destination point according to the flight path information and the flight speed information;
step 3.3: in the flight process, the unmanned aerial vehicle sends the broadcast signal to the spatial path device again at irregular time; the space path device obtains the position information of the unmanned aerial vehicle again according to the received broadcast signals, calculates and plans a new flight path and a new flight speed of the unmanned aerial vehicle again according to the position information, and sends the calculated new flight path and the calculated flight speed of the unmanned aerial vehicle to the unmanned aerial vehicle again through return signals in an information mode;
step 3.4: after the unmanned aerial vehicle receives the return signal, the micro control module controls the unmanned aerial vehicle to fly to a destination point according to newly received flight path information and flight speed information.
8. The method of claim 7, wherein in step 3.1: the space path device obtains the position information of the unmanned aerial vehicle according to the received signal, and the method for calculating and planning the flight path and the flight speed of the unmanned aerial vehicle according to the position information executes the following steps:
step 3.1.1: the space path device calculates the distance between the space path device and the unmanned aerial vehicle according to the position information of the unmanned aerial vehicle and the position information of the space path device, and calculates the flying speed of the unmanned aerial vehicle according to the distance and the preset time parameter;
step 3.1.2: the space path device calculates a direction included angle between the space path device and the unmanned aerial vehicle according to the position information of the unmanned aerial vehicle and the position information of the space path device, and obtains the flying direction of the unmanned aerial vehicle according to the calculated direction included angle.
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