CN214045688U - High-flexibility self-networking environment detection system - Google Patents
High-flexibility self-networking environment detection system Download PDFInfo
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- CN214045688U CN214045688U CN202120176112.8U CN202120176112U CN214045688U CN 214045688 U CN214045688 U CN 214045688U CN 202120176112 U CN202120176112 U CN 202120176112U CN 214045688 U CN214045688 U CN 214045688U
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Abstract
The utility model provides a but high flexibility ratio from network deployment environment detecting system relates to thing networking and four rotor technical field. The system comprises a mobile node, a data processing unit and a base station; the utility model discloses can gather all kinds of data and the geographical position that corresponds among the ecological environment of forest dynamically, overcome because geographical environment is complicated, the difficult point that intelligent facility that communication quality is poor to lead to is difficult to use to realized the far end through the thing networking and received and manage data. The invention can meet the actual requirements on data acquisition in a complex ecological environment and has stronger flexibility and higher accuracy. Meanwhile, the system can realize long-time, dynamic and regional multipoint detection in a large area. The method can be used as an important data source in the big data era, the development trend of related indexes can be mastered by modeling and counting related environmental data, and the method has important guiding significance for publishing and predicting environmental information.
Description
Technical Field
The utility model relates to a thing networking and four rotor technical field especially relate to a but from network deployment environment detecting system of high flexibility ratio.
Background
The Internet of things (IoT) is an important component of the development of a new generation of technology, and is also a core technology foundation for realizing informatization. The development of all industries does not leave the development mode of digitalization and informatization, and more intelligent electronic devices gradually replace manual operation. The Internet of things is not only the connection between people and objects, but also the connection between objects, and various information sensing devices and the Internet are combined to form a network, so that the intelligent perception, identification and management of objects and processes are realized.
Modern ecological monitoring is characterized by diversity and complexity. Certain technical means are required to improve the detection efficiency and quality, and the internet of things technology is a modern technological means which can be used in the ecological environment monitoring process. The necessity of applying the technology of the internet of things in the ecological environment monitoring work is mainly analyzed from the process of ecological environment monitoring, and the ecological environment monitoring is divided into three steps including investigation and research, sample acquisition and data analysis. Due to the fact that uncertain factors are too much in the process, the quality and the standard of ecological environment monitoring are easily affected. In ecological environment monitoring, monitoring quality is influenced by factors such as monitoring technology and equipment. The traditional ecological environment monitoring technology is not matched with the modern ecological environment monitoring standard, and the innovation of the ecological environment monitoring technology needs to be accelerated, so that the modern ecological environment monitoring technology is improved. Therefore, by combining the modern internet of things technology with the environment monitoring technology, an ecological environment monitor can comprehensively and accurately obtain information on all aspects of the environment monitoring object at the first time, and the analysis and the processing of the environment monitoring object are optimized.
Most of existing forest environment data acquisition systems are provided with a plurality of sensors and basic hardware circuits capable of wireless transmission, and are matched with an Internet of things operating system and information data visualization application software. The system collects data according to a certain time interval and receives and manages the data on the upper computer through the Internet of things technology.
The existing forest information acquisition system mostly arranges a sensor at a fixed position, and because the ecological environment has complexity and diversity, when the ecological environment data in one region needs to be randomly acquired, the existing technology cannot meet the requirement. Due to the fixity of the sensor positions, a small number of sensors cannot meet the requirement of acquisition, and a large number of sensors can increase the cost. How to dynamically collect data and reduce the collection cost are problems to be solved.
Meanwhile, most forest data acquisition systems only acquire environmental data, but lack important position information in the environmental data analysis process, and are not beneficial to researching the distribution of the environmental data along with geographical positions. In a dense forest, satellite signals are seriously interfered by obstacles, the signals are weak, and high-precision positioning cannot be realized through the satellites.
SUMMERY OF THE UTILITY MODEL
Aiming at the defects of the prior art, the utility model provides a high-flexibility environment detection system capable of being self-organized, which is carried by four rotors to realize the automatic wide-area environment detection under the scene of poor communication quality;
in order to solve the technical problem, the utility model discloses the technical scheme who takes is:
a high-flexibility self-organizing network environment detection system comprises a mobile node, a data processing unit and a base station;
the mobile node comprises a four-rotor aircraft, a data acquisition unit, a positioning unit, a data transmission unit and a power supply unit; the four-rotor aircraft comprises a four-rotor aircraft, a data acquisition unit, a positioning unit, a data transmission unit and a power supply unit, wherein the data acquisition unit is a sensor group; the data transmission unit comprises a processing chip, a WIFI wireless transmission module and a server; the input end of the processing chip is connected with the output end of the sensor group, the output end of the processing chip is connected with the WIFI wireless transmission module, data collected by the sensor group are received and sent to the cloud server, the data gathering, counting and visualization processes are completed on the cloud server, and the cloud server outputs environment data to the data processing unit;
the sensor group comprises a temperature and humidity sensor, an oxygen sensor and an atmospheric pressure sensor;
the output end of the power supply unit is respectively connected with the processing chip and the positioning module;
the positioning unit is a UWB (ultra wideband positioning) node and acquires the position information of the mobile node in real time;
the base station is a beacon node and is connected with the mobile node through UWB, and the mobile node is connected with the data processing unit through a wireless network;
adopt the produced beneficial effect of above-mentioned technical scheme to lie in:
the utility model provides a but high flexibility ratio from network deployment environment detecting system, the utility model discloses can gather all kinds of data and the geographical position that corresponds among the ecological environment of forest dynamically, overcome because geographical environment is complicated, the difficult point that intelligent facility that communication quality is poor to lead to is difficult to the application to realized the far end through the thing networking and received and manage data. And the utility model discloses to data acquisition's actual demand among the complex ecological environment can be satisfied, stronger flexibility and higher accurate nature have. Meanwhile, the system can realize long-time, dynamic and regional multipoint detection in a large area. The method can be used as an important data source in the big data era, the development trend of related indexes can be mastered by modeling and counting related environmental data, and the method has important guiding significance for publishing and predicting environmental information.
Drawings
Fig. 1 is a block diagram of an environment detection system capable of ad hoc network in an embodiment of the present invention;
fig. 2 is a pin diagram of ESP8266EX in an embodiment of the present invention;
FIG. 3 is a pin diagram of the Tiva _ TM4C123FH6PM chip in an embodiment of the present invention;
figure 4 is a side view of an installation location of modules of a quad-rotor in an embodiment of the invention;
FIG. 5 is a schematic view of the connection of the components in the embodiment of the present invention;
Detailed Description
The following detailed description of the embodiments of the present invention is provided with reference to the accompanying drawings and examples. The following examples are intended to illustrate the invention, but are not intended to limit the scope of the invention.
A high-flexibility Ad hoc network environment detection system is shown in figure 1 and comprises a mobile node, a data processing unit and a base station;
the mobile node comprises a four-rotor aircraft, a data acquisition unit, a positioning unit, a data transmission unit and a power supply unit; the four-rotor aircraft comprises a four-rotor aircraft, a data acquisition unit, a positioning unit, a data transmission unit and a power supply unit, wherein the data acquisition unit is a sensor group; the data transmission unit comprises a processing chip, a WIFI wireless transmission module and a server; in the embodiment, a processing chip is Tiva _ TM4C123FH6PM, a WIFI wireless transmission module is ESP8266EX, an input end of the processing chip Tiva _ TM4C123FH6PM is connected with an output end of a sensor group, an output end of the processing chip Tiva _ TM4C123FH6PM is connected with the WIFI wireless transmission module ESP8266EX, data collected by the sensor group are received and sent to a cloud server, data gathering, counting and visualization processes are completed on the cloud server, a data transmission unit is responsible for completing communication between an upper computer terminal and nodes in a wireless sensor network, data are transmitted to a cloud in real time, a terminal real-time node scheduling function is achieved, and the cloud server outputs environmental data to the data processing unit;
WIFI transmission module ESP8266 EX: ESP8266EX is a cost-effective, highly integrated WIFI micro-control unit for internet of things applications. The ESP8266EX is internally provided with an ultra-low power consumption Tensilical 10632-bit RISC processor, the clock speed of a CPU can reach 160MHz at most, and a real-time operating system (RTOS) and a Wi-Fi protocol stack are supported. The working temperature range is large, the stable performance can be kept, and the device can adapt to various ecological environments. The portable electronic device has the advantages of small volume, light weight, high integration and low power consumption, and is suitable for being applied to wearable equipment or portable equipment. The pin diagram of ESP8266EX is shown in FIG. 2, and the pin diagram of the processing chip Tiva _ TM4C123FH6PM is shown in FIG. 3.
The sensor group comprises a temperature and humidity sensor, an oxygen sensor and an atmospheric pressure sensor; in the embodiment, the detection indexes are temperature, humidity, oxygen concentration and atmospheric pressure; DHT11 temperature and humidity sensors are used for detecting temperature and humidity, a 4OXV oxygen sensor module is used for detecting oxygen concentration, and a BMP280-3.3 high-precision atmospheric pressure sensor module is used for detecting atmospheric pressure. The sensor group is arranged on a second layer (from bottom to top) of the four rotors, the side view of the installation position of each module of the four rotors is shown in figure 4, wherein the atmospheric pressure sensor is arranged at the geometric center of the second layer of the four rotors, and the left and the right of the atmospheric pressure sensor are respectively provided with a temperature and humidity sensor and an oxygen sensor;
the output end of the power supply unit is respectively connected with the processing chip and the positioning module;
the positioning unit is a UWB (ultra wideband positioning) node and acquires the position information of the mobile node in real time;
the base station is a beacon node and is connected with the mobile node through UWB, and the mobile node is connected with the data processing unit through a wireless network, the overall connection schematic diagram of each part in the embodiment of the utility model is shown in figure 5;
in addition, due to the adoption of the UWB technology, the influence caused by the obstruction of the signal generated by the obstacle can be greatly reduced. Because four rotor structures are exquisite, control is convenient, the solution that can be fine is because the complicated and intelligent facility of forest mountain area topography is difficult to the problem that gets into.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be understood by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combinations of the above-mentioned features, but also covers other embodiments formed by any combination of the above-mentioned features or their equivalents without departing from the spirit of the present disclosure. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (2)
1. A high-flexibility self-organizing network environment detection system is characterized by comprising a mobile node, a data processing unit and a base station;
the mobile node comprises a four-rotor aircraft, a data acquisition unit, a positioning unit, a data transmission unit and a power supply unit; the four-rotor aircraft comprises a four-rotor aircraft, a data acquisition unit, a positioning unit, a data transmission unit and a power supply unit, wherein the data acquisition unit is a sensor group; the data transmission unit comprises a processing chip, a WIFI wireless transmission module and a server; the input end of the processing chip is connected with the output end of the sensor group, the output end of the processing chip is connected with the WIFI wireless transmission module, data collected by the sensor group are received and sent to the cloud server, the data gathering, counting and visualization processes are completed on the cloud server, and the cloud server outputs environment data to the data processing unit;
the output end of the power supply unit is respectively connected with the processing chip and the positioning module; the positioning unit is a UWB (ultra wideband positioning) node and acquires the position information of the mobile node in real time;
the base station is a beacon node and is connected with the mobile node through UWB, and the mobile node is connected with the data processing unit through a wireless network.
2. The high-flexibility self-networking environment detection system according to claim 1, wherein the sensor group comprises a temperature and humidity sensor, an oxygen sensor and an atmospheric pressure sensor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202120176112.8U CN214045688U (en) | 2021-01-22 | 2021-01-22 | High-flexibility self-networking environment detection system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202120176112.8U CN214045688U (en) | 2021-01-22 | 2021-01-22 | High-flexibility self-networking environment detection system |
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| Publication Number | Publication Date |
|---|---|
| CN214045688U true CN214045688U (en) | 2021-08-24 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202120176112.8U Expired - Fee Related CN214045688U (en) | 2021-01-22 | 2021-01-22 | High-flexibility self-networking environment detection system |
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| CN (1) | CN214045688U (en) |
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2021
- 2021-01-22 CN CN202120176112.8U patent/CN214045688U/en not_active Expired - Fee Related
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| GR01 | Patent grant | ||
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| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20210824 Termination date: 20220122 |