CN113676863B - Unmanned ship multichannel wireless network data acquisition method and system - Google Patents
Unmanned ship multichannel wireless network data acquisition method and system Download PDFInfo
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- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- H—ELECTRICITY
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- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/24—Connectivity information management, e.g. connectivity discovery or connectivity update
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- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention provides a multichannel wireless network data acquisition method and system for an unmanned ship, wherein the method comprises the following steps: constructing an optimal cluster head updating iterative calculation model and a discrete form thereof in a wireless data transmission network, which are formed by a plurality of multi-channel data acquisition modules and provided with a plurality of cluster heads in t+1 iterations, and optimizing the cluster head calculation model; constructing an adaptability model for evaluating the optimal solution, and evaluating whether the updated iterative solution of the generation accords with the adaptability p of the optimal solution i An index; if yes, updating the updated iterative solution of the previous generation into the updated iterative solution of the next generation; otherwise, continuing to adopt the update iteration solution of the generation; and transmitting the acquired data to an upper computer by adopting a multi-channel data acquisition module with the updated iterative solution of the cluster head, and repeating the steps to determine the updated iterative solution of the optimal cluster head in the wireless data transmission network of each generation. The invention maximizes network energy and node survival time and reduces time delay by optimizing the selection of cluster heads.
Description
Technical Field
The invention belongs to the technical field of unmanned ship data stimulation, and particularly relates to a unmanned ship multichannel wireless network data acquisition method and system.
Background
The unmanned ship has the characteristics of small ship body, convenience in carrying, good wave resistance, high speed, stable sailing and the like, can be provided with various sensors, and can be used for freeing people from heavy, high-strength and high-risk water tasks. Various sensor configuration, navigation, data storage and power supply systems are currently on the market. When unmanned ship is used for carrying out underwater topography and hydrological measurement tasks in inland water, various sensors are needed to be respectively used for carrying out configuration setting, navigation, power supply and data storage setting at the early stage of the tasks, and the sensors can carry out the tasks of measurement, navigation, power supply, storage and the like only after the setting is completed. And after the task is finished, the underwater glider needs to be opened to take out each sensor.
When the unmanned ship executes tasks, the unmanned ship needs to carry a plurality of sensors to work. The data storage mode, the working area, the power consumption, the functions and the like of each sensor are different, and if each sensor works as an independent unit, the use of the sensor cannot be flexibly controlled according to the position of the unmanned ship; secondly, the energy consumption of part of sensors is larger, and if the use of the sensors is not controlled, the electric quantity consumption of the whole machine is larger; and thirdly, each sensor independently stores data, so that the collection work of the data after the task is finished is very complicated, the unmanned ship is required to be opened for data collection after the task is finished, and the data is extracted and processed after each sensor is taken out, so that the working steps are very complicated and the efficiency is lower.
Disclosure of Invention
Aiming at the defects, the invention provides the unmanned ship multichannel wireless network data acquisition method and system which can optimize the energy requirements in the transmission process of various underwater data acquired by a plurality of multichannel data acquisition modules and reduce the data transmission delay.
The invention provides the following technical scheme: a multi-channel wireless network data acquisition method of unmanned ship, a plurality of unmanned ship with multi-channel data acquisition module carries on communication connection with upper computer through wireless network, transmit the data that the multi-channel data acquisition module gathers to the upper computer, a plurality of multi-channel data acquisition module forms the wireless data transmission network with a plurality of cluster heads, and each said cluster head is connected with said upper computer wireless communication, said method includes the following steps:
s1: constructing an optimal cluster head formed by a plurality of multichannel data acquisition modules and provided with a plurality of cluster heads in a wireless data transmission network in t+1 iterations
Updating the iterative calculation model:
wherein, the liquid crystal display device comprises a liquid crystal display device,
optimal data transmission cluster head for updating solution for ith iteration of jth cluster in t+1st iteration, j epsilon {1,2, …, C H }，i∈{1,2,…,F N -a }; said->
An optimal data transmission cluster head for updating a solution of an ith iteration of a jth cluster in the t-th iteration; r is R i,j Is at [ -1,1]A random value generated therebetween; FS (FS) k,j Neighborhood solutions k, k e {1,2, …, F for the ith iteration update solutions of the jth cluster in the t-th iteration N }；
S2: constructing the optimal cluster head in t+1 iterations obtained in the step S1
Alpha of (2) F Discrete form of the derivative of the order, alpha F The order of the discrete fractional derivative is 0.ltoreq.alpha F ≤1；
S3: to maximize the lifetime of the sensor node, the network energy and the node lifetime are maximized, and the order alpha with discrete fractional derivatives is constructed F The optimization cluster head calculation model iterated from the generation t-1 to the generation t+1;
s4: constructing and evaluating fitness p of optimal solution i Model, evaluate whether the updated iteration solution from t-1 generation to t+1 generation is consistentFitness p of the sum-optimal solution i An index; if yes, updating the updated iterative solution of the previous generation into the updated iterative solution of the next generation; otherwise, continuing to adopt the update iteration solution of the generation;
s5: the multi-channel data acquisition module with the determined cluster head updating iterative solution in the step S4 is adopted to transmit acquired data to an upper computer, and the steps S1-S4 are repeated to determine the optimal cluster head in each generation of wireless data transmission network
Updating the iterative solution.
Further, the optimal cluster head in t+1 iterations in the step S2
Alpha of (2) F The discrete form of the order derivative is:
further, the order alpha with discrete fractional derivatives F The calculation model of the optimized cluster head iterated from the generation t-1 to the generation t+1 is as follows:
further, the adaptation degree p constructed in the step S4 i The model is as follows:
wherein w is 1 Calculating weight parameters for fitness, w 2 Calculating an error adjustment term for fitness, fit i And updating the comprehensive evaluation index of the solution for the ith iteration.
Further, the i-th iteration updates the comprehensive evaluation index fit of the solution i The calculation formula of (2) is as follows:
fit i ＝α×f i loc +β×f i e +γ×f i d ；
wherein f i loc Is the distance index between the cluster member and the cluster head, f i e Is the wireless communication energy index of the cluster head, f i d Is the time delay index of the cluster head, and alpha is the distance index f i loc Is the calculation weight parameter of the wireless communication energy index f i e Is the calculated weight parameter of (1), and gamma is the time delay index f i d Weight parameters of the model (a).
The invention also provides a multichannel wireless network data acquisition system of the unmanned ship, which adopts the method, and comprises an upper computer and a plurality of multichannel data acquisition modules, wherein each multichannel data acquisition module is in communication connection with a navigation sensor, a power management sensor, a data storage sensor, a side-scan sonar sensor, an ADCP acoustic Doppler velocimeter, a Shan Shubo depth finder sensor and an integrated GNSS sensor.
Further, the side-scan sonar sensor, the ADCP acoustic Doppler velocimeter, the Shan Shubo sounding instrument sensor and the integrated GNSS sensor are in communication connection with a plurality of RS232 communication serial ports after serial communication interface expansion by adopting a serial port expansion chip.
Further, the serial port expansion chip is a GM8125 chip and is packaged by adopting a 24 or 28 pin patch.
Further, when the serial communication interface is expanded, a crystal oscillator and two capacitors are connected to the outside of the serial communication interface expansion chip, so that the serial communication interface is expanded into 5 RS232 communication serial interfaces.
Further, 4 of the 5 RS232 communication serial ports are respectively in communication connection with a side scan sonar sensor, an ADCP acoustic Doppler velocimeter, a Shan Shubo sounding instrument sensor and an integrated GNSS sensor, and the rest 1 RS232 communication serial ports are used for the communication connection serial ports of the standby sensor.
The beneficial effects of the invention are as follows:
1. the method provided by the invention adopts an energy optimization wireless network model of a plurality of clusters with cluster heads constructed based on a plurality of multi-channel data acquisition modules, adopts an energy efficient clustering mechanism, and maximizes network energy and node survival time by optimizing the selection of the cluster heads, thereby effectively reducing the energy required by the data acquisition of the plurality of multi-channel wireless networks in the data transmission process and reducing time delay.
2. The method provided by the invention utilizes the adaptability p of the constructed evaluation optimal solution i Model to control the convergence rate of the iterative update solution from t-1 generation to t+1 generation, and evaluate the adaptability p of the optimal solution i The model comprehensively considers three targets of energy consumption, travel distance and time delay, so that the overall target is minimized, and whether the iteration update solution accords with the iteration update solution of the previous generation or not can be effectively evaluated.
3. The system provided by the invention adopts a solution that a plurality of sensors and modules are uniformly controlled and used, so that the working efficiency of the unmanned ship is improved. The system provided by the invention is an embedded system platform, integrates various measuring sensors required by unmanned ship detection tasks, power management sensors required by a power system and navigation sensors, and provides functions for controlling, managing, storing and transmitting data of the various sensors independently, so that the working efficiency of the unmanned ship is effectively improved.
4. The multi-channel data acquisition module upper computer adopted by the invention controls the data extraction and storage of each water area measurement sensor, also controls the data extraction and processing of the power management sensor, controls the position positioning, the direction driving, the speed control and the like of the navigation sensor, and the method and the system provided by the invention can reduce the power consumption to be slightly improved, so that the situation can be completed without improving the energy efficiency of the power supply. The multichannel data acquisition module of the system provided by the invention breaks the communication protocol of each sensor to integrate the protocols, so that the additional expense of a processor is avoided, and the efficiency of integrating the communication protocols can be effectively improved.
Drawings
The invention will be described in more detail hereinafter on the basis of embodiments and with reference to the accompanying drawings. Wherein:
FIG. 1 is a schematic flow chart of a method for acquiring data of a multichannel wireless network of an unmanned ship;
fig. 2 is a schematic diagram of a wireless data transmission network with a plurality of cluster heads formed by a plurality of multi-channel data acquisition modules in the method provided by the invention.
FIG. 3 is a schematic diagram of a module structure in which a multi-channel data acquisition module is communicatively connected with an upper computer and a plurality of sensors in the system provided by the invention;
fig. 4 is a schematic circuit diagram of a serial port expansion chip of the system provided by the invention;
fig. 5 is a schematic diagram of a task execution flow of a multi-channel data acquisition system module provided by the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in fig. 1, in the method for acquiring multi-channel wireless network data of an unmanned ship provided in this embodiment, a plurality of unmanned ships with multi-channel data acquisition modules are in communication connection with an upper computer through a wireless network, data acquired by the multi-channel data acquisition modules are transmitted to the upper computer, the multi-channel data acquisition modules form a wireless data transmission network with a plurality of cluster heads, as shown in fig. 2, wherein CH1 and CH2 are wireless data transmission networks with a plurality of clusters from a cluster head 1 and a cluster head 2 to a cluster head N sequentially formed by the multi-channel data acquisition modules, and a CH1 cluster is taken as an example, and has a multi-channel data difference level module with black dots as a cluster head 1, and 4 white dots N 1 、n 2 、n 3 And n 4 The representative downstream multichannel data acquisition modules in the cluster transmit acquired data to the cluster head 1, and the cluster head 1 updates and iterates summarized data through an algorithm, if the summarized data are selected to be optimal and each cluster head is in wireless communication connection with the upper computer, the method comprises the following steps:
s1: constructing an optimal cluster head formed by a plurality of multichannel data acquisition modules and provided with a plurality of cluster heads in a wireless data transmission network in t+1 iterations
Updating the iterative calculation model:
wherein, the liquid crystal display device comprises a liquid crystal display device,
optimal data transmission cluster head for updating solution for ith iteration of jth cluster in t+1st iteration, j epsilon {1,2, …, C H }，i∈{1,2,…,F N -a }; said->
An optimal data transmission cluster head for updating a solution of an ith iteration of a jth cluster in the t-th iteration; r is R i,j Is at [ -1,1]A random value generated therebetween; FS (FS) k,j Neighborhood solutions k, k e {1,2, …, F for the ith iteration update solutions of the jth cluster in the t-th iteration N }；
S2: constructing the optimal cluster head in t+1 iterations obtained in the step S1
Alpha of (2) F Discrete form of the derivative of the order, alpha F The order of the discrete fractional derivative is 0.ltoreq.alpha F ≤1；
S3: to maximize the lifetime of a sensor node, network energy and nodes are madeMaximizing time-to-live, constructing an order alpha with discrete fractional derivatives F From t-1 generation to t+1 generation,
s4: constructing and evaluating fitness p of optimal solution i Model, evaluate from t-1 generation to t+1 generation update iteration solution whether to accord with the optimal solution fitness p i An index; if yes, updating the updated iterative solution of the previous generation into the updated iterative solution of the next generation; otherwise, continuing to adopt the update iteration solution of the generation; if the fitness of the t generation is smaller than that of the t-1 generation, replacing the updated iterative solution of the t-1 generation with the updated iterative solution of the t generation, otherwise, continuing to adopt the updated iterative solution of the t-1 generation; if the fitness of the t+1th generation is smaller than that of the t generation, replacing the updated iterative solution of the t generation with the updated iterative solution of the t+1th generation;
s5: the multi-channel data acquisition module with the determined cluster head updating iterative solution obtained in the step S4 is used for transmitting acquired data to an upper computer, and the step S1-S4 is repeated to determine the optimal cluster head in each generation of wireless data transmission network
Updating the iterative solution.
The optimal cluster head in t+1 iterations in the S2 step
Alpha of (2) F The discrete form of the order derivative is:
with order alpha of discrete fractional derivatives F The calculation model of the optimized cluster head iterated from the generation t-1 to the generation t+1 is as follows:
s4, constructing fitness p i The model is as follows:
wherein w is 1 Calculating weight parameters for fitness, w 2 Calculating an error adjustment term for fitness, fit i And updating the comprehensive evaluation index of the solution for the ith iteration.
When one node is selected as the cluster head, the distance between the cluster member and the cluster head is small, the energy of the cluster head is high, the time delay is small, and the i-th iteration updates the comprehensive evaluation index fit of the solution i The calculation formula of (2) is as follows:
fit i ＝α×f i loc +β×f i e +γ×f i d ；
wherein f i loc Is the distance index between the cluster member and the cluster head, f i e Is the wireless communication energy index of the cluster head, f i d Is the time delay index of the cluster head, and alpha is the distance index f i loc Is the calculation weight parameter of the wireless communication energy index f i e Is the calculated weight parameter of (1), and gamma is the time delay index f i d Weight parameters of the model (a).
Example 2
As shown in fig. 2, the unmanned ship multichannel wireless network data acquisition system adopting the method provided in embodiment 1 provided in this embodiment includes an upper computer and a plurality of multichannel data acquisition modules, where each multichannel data acquisition module is communicatively connected with a navigation sensor, a power management sensor, a data storage sensor, a side scan sonar sensor, an ADCP acoustic doppler velocimeter, a Shan Shubo depth finder sensor, and an integrated GNSS sensor, as shown in fig. 3.
The side-scan sonar sensor, the ADCP acoustic Doppler velocimeter, the Shan Shubo sounding instrument sensor and the integrated GNSS sensor are in communication connection with the multichannel data acquisition module through a plurality of RS232 communication serial ports after serial communication interface expansion by adopting a serial port expansion chip.
The multichannel data acquisition module provides a plurality of RS232 communication interfaces and can be connected with various sensors simultaneously. After various sensors are selected, parameters such as a control command format, an output data format and the like of the sensors are analyzed, so that the multichannel data acquisition module has a function of configuring the sensors. Before the unmanned ship task starts, the sensors can be uniformly configured and set by using the multichannel data acquisition module after the hardware is installed, and the working parameters of the sensors are set. In unmanned ship operation, the module can collect the output data of the multi-path sensor and simultaneously control the power sensor, the navigation sensor and the SD data storage. An open source file system is used in the module, and various collected sensor data can be stored in a memory card in a file form according to a preset format and frequency; after the task is finished, under the condition that the unmanned ship is not disassembled to take out the sensor, the sensor data file in the memory card can be extracted through the interface of the module and the upper computer. Meanwhile, the upper computer software can send commands to sensors such as a navigation sensor, a power management sensor and the like through the multi-channel data acquisition module, and can also send information to the upper computer software or other subsystems of the unmanned ship through the multi-channel data acquisition module. The multichannel data acquisition module is used as the core of the system, so that the combination of the modules in the system is more compact.
Because the module needs to communicate with the upper computer software and other 3 modules in the system, 4 communication serial ports are occupied, and the module chip generally provides 5 serial ports, only 1 serial port can be provided for the unmanned ship to carry the sensor, which obviously cannot meet the requirements. Therefore, serial port expansion technology is required to expand the remaining 1 serial ports into a plurality of serial ports for use by selected sensors and other sensors that may be carried by the unmanned ship.
As shown in fig. 4, the serial port expansion chip is a GM8125 chip, and is packaged by adopting a 24 or 28 pin patch.
When the serial communication interface is expanded, a crystal oscillator and two capacitors are connected to the outside of the serial port expansion chip, the serial port is expanded into 5 RS232 communication serial ports, 4 of the serial ports are respectively connected with a side scan sonar sensor, an ADCP acoustic Doppler velocimeter, a Shan Shubo sounding instrument sensor and an integrated GNSS sensor in a communication mode, and the rest 1 RS232 communication serial ports are used for being connected with the serial ports in a communication mode through standby sensors.
The GM8125 chip provided by the invention is a high-performance serial port expansion chip, and a 24 or 28 pin patch package can expand one serial port into 5 serial ports only by connecting a crystal oscillator and two capacitors outside; the baud rate of the master serial port is 6 times of that of the slave serial port, so that the data received by the slave serial port is not lost, and the real-time performance of the data sent by the master serial port is guaranteed. With the help of 3 transmitting address lines and 3 receiving address lines, the MCU can control the data to be transmitted to the sub-serial port, and indicate to the MCU which sub-serial port the received data comes from when the received data is transmitted to the master serial port. Because each sensor usually uses an RS232 interface, and the module chip and the GM8125 use TTL levels, the module uses a level conversion chip to convert the TTL levels into the RS232 levels and then is connected with an external sensor, wherein each MAX232 chip can complete the level conversion of two paths of serial ports.
The core task of the embedded software of the multichannel data acquisition system is to configure and control the plurality of sensors, control the interface to receive the output data of the sensors, and store the output data in an SD memory card in a preset file format. Meanwhile, the software also needs to complete tasks such as analyzing the command of the upper computer, exchanging information with the navigation module, sending the command to the power management module to control the power supply of the sensor and the like.
The embedded software of the multi-channel data acquisition module adopts a cycle execution mode, enters a main cycle after the execution of the initialization function is finished, processes each task sequentially, and a brief flow chart is shown in fig. 5, and when the module is started, the system initialization function is firstly carried out, and then the initialization of the serial port expansion chip and the detection of the memory card are carried out, so that the hardware of the module enters a working state.
The main cycle is from the upper computer to the command, and to the uploading of data to the upper computer. The upper computer commands the processing function to analyze the data of the upper computer and can be provided for the subsequent function to check. The information sending and receiving processing function is matched with the serial port interrupt service function to enable the module to exchange information with the outside. The SD card reads and writes mainly call an application layer interface, and a file system is operated to establish, delete, read and write files and the like. The functions are circularly executed to complete the functions of the multi-channel data acquisition module.
And after the task is finished, the unmanned ship does not need to be opened to take out each sensor, and the data are collected independently and respectively, so that the working steps are simple and the efficiency is high. The solution for uniformly controlling and using the sensors greatly improves the working efficiency of the unmanned ship. The unmanned ship sails and the power management are controlled and used in a unified way, so that the utilization rate and the intellectualization of the power management are greatly improved. Under the embedded system platform, each sensor CPU shares calculation and control tasks, the coupling degree of each module is low, and the reliability and fault tolerance are high. When a certain module fails, the whole system is not greatly affected.
The multi-channel data acquisition module upper computer adopted by the invention controls the data extraction and storage of each water area measurement sensor, also controls the data extraction and processing of the power management sensor, controls the position positioning, the direction driving, the speed control and the like of the navigation sensor, and the method and the system provided by the invention can reduce the power consumption to be slightly improved, so that the situation can be completed without improving the energy efficiency of the power supply. The multichannel data acquisition module of the system provided by the invention breaks the communication protocol of each sensor to integrate the protocols, so that the additional expense of a processor is avoided, and the efficiency of integrating the communication protocols can be effectively improved.
While the invention has been described with reference to a preferred embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the technical features mentioned in the respective embodiments may be combined in any manner as long as there is no structural conflict. The present invention is not limited to the specific embodiments disclosed herein, but encompasses all technical solutions falling within the scope of the claims.
Claims (8)
1. The utility model provides a unmanned ship multichannel wireless network data acquisition method, a plurality of unmanned ships that have multichannel data acquisition module carry out communication connection through wireless network with the host computer, the data transmission that the multichannel data acquisition module gathered is in the host computer, a plurality of multichannel data acquisition module form the wireless data transmission network that has a plurality of cluster heads, and every cluster head all with host computer wireless communication connection, its characterized in that, the method includes following steps:
s1: constructing an optimal cluster head formed by a plurality of multichannel data acquisition modules and provided with a plurality of cluster heads in a wireless data transmission network in t+1 iterations
Updating the iterative calculation model:
wherein, the liquid crystal display device comprises a liquid crystal display device,
optimal data transmission cluster head for updating solution for ith iteration of jth cluster in t+1st iteration, j epsilon {1,2, …, C H }，i∈{1,2,…,F N -a }; said->
An optimal data transmission cluster head for updating a solution of an ith iteration of a jth cluster in the t-th iteration; r is R i,j Is at [ -1,1]A random value generated therebetween; FS (FS) k,j Neighborhood solutions k, k e {1,2, …, F for the ith iteration update solutions of the jth cluster in the t-th iteration N }；
S2: constructing the optimal cluster head in t+1 iterations obtained in the step S1
Alpha of (2) F Of the order derivativeIn discrete form, said alpha F The order of the discrete fractional derivative is 0.ltoreq.alpha F ≤1；
S3: to maximize the lifetime of the sensor node, the network energy and the node lifetime are maximized, and the order alpha with discrete fractional derivatives is constructed F The optimization cluster head calculation model iterated from the generation t-1 to the generation t+1;
s4: constructing and evaluating fitness p of optimal solution i Model, evaluate from t-1 generation to t+1 generation update iteration solution whether to accord with the optimal solution fitness p i An index; if yes, updating the updated iterative solution of the previous generation into the updated iterative solution of the next generation; otherwise, continuing to adopt the update iteration solution of the generation;
s5: the multi-channel data acquisition module with the determined cluster head updating iterative solution in the step S4 is adopted to transmit acquired data to an upper computer, and the steps S1-S4 are repeated to determine the optimal cluster head in each generation of wireless data transmission network
Updating the iterative solution;
the optimal cluster head in t+1 iterations in the step S2
Alpha of (2) F The discrete form of the order derivative is:
with order alpha of discrete fractional derivatives F The calculation model of the optimized cluster head iterated from the generation t-1 to the generation t+1 is as follows:
2. a kind of according to claim 1The unmanned ship multichannel wireless network data acquisition method is characterized in that the adaptability p constructed in the step S4 is achieved i The model is as follows:
wherein w is 1 Calculating weight parameters for fitness, w 2 Calculating an error adjustment term for fitness, fit i And updating the comprehensive evaluation index of the solution for the ith iteration.
3. The unmanned ship multichannel wireless network data acquisition method according to claim 2, wherein the i-th iteration update solution comprehensive evaluation index fit i The calculation formula of (2) is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,
is a distance index between the cluster member and the cluster head, < >>
Wireless communication energy index for cluster head, < >>
Is the time delay index of the cluster head, and alpha is the distance index +.>
Is the wireless communication energy index +.>
Is a time delay index gamma>
Weight parameters of the model (a).
4. A unmanned ship multichannel wireless network data acquisition system according to any one of claims 1-3, wherein the system comprises a host computer and a plurality of multichannel data acquisition modules, wherein each multichannel data acquisition module is in communication connection with a navigation sensor, a power management sensor, a data storage sensor, a side scan sonar sensor, an ADCP acoustic doppler flow meter, a Shan Shubo depth finder sensor and an integrated GNSS sensor.
5. The unmanned ship multichannel wireless network data acquisition system according to claim 4, wherein the side-scan sonar sensor, the ADCP acoustic Doppler velocimeter, the Shan Shubo sounding sensor and the integrated GNSS sensor are in communication connection with the multichannel data acquisition module through a plurality of RS232 communication serial ports which are expanded by serial communication interfaces through serial port expansion chips.
6. The unmanned ship multichannel wireless network data acquisition system of claim 5, wherein the serial port expansion chip is a GM8125 chip and is packaged by a 24 or 28 pin patch.
7. The unmanned ship multichannel wireless network data acquisition system of claim 5, wherein when the serial communication interface is expanded, a crystal oscillator and two capacitors are connected to the outside of the serial port expansion chip to expand the serial port into 5 RS232 communication serial ports.
8. The unmanned ship multichannel wireless network data acquisition system of claim 7, wherein 4 of the 5 RS232 communication serial ports are respectively connected with a side-scan sonar sensor, an ADCP acoustic doppler flow meter, a Shan Shubo depth finder sensor and an integrated GNSS sensor in a communication manner, and the remaining 1 RS232 communication serial ports are used for a standby sensor communication connection serial port.
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Citations (2)
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|---|---|---|---|---|
| JP2009206560A (en) * | 2008-02-26 | 2009-09-10 | Nippon Telegr & Teleph Corp <Ntt> | Sensor data collection system and method, sensor network constructing device and method, program, and recording medium |
| CN111698705A (en) * | 2020-05-29 | 2020-09-22 | 华南理工大学 | Non-uniform clustering routing method of wireless sensor network based on energy optimization |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009206560A (en) * | 2008-02-26 | 2009-09-10 | Nippon Telegr & Teleph Corp <Ntt> | Sensor data collection system and method, sensor network constructing device and method, program, and recording medium |
| CN111698705A (en) * | 2020-05-29 | 2020-09-22 | 华南理工大学 | Non-uniform clustering routing method of wireless sensor network based on energy optimization |
Non-Patent Citations (3)
| Title |
|---|
| Optimal Cluster Head Positioning Algorithm for Wireless Sensor Networks;Ala\' Khalifeh, etc.;《sensors》;第20卷(第13期);全文 * |
| ZigBee多信道网络控制系统的调度方法研究;郭良振;《中国优秀硕士学位论文全文数据库（电子期刊）》(第1期);全文 * |
| 无线传感器网络改进引力搜索算法的设计与实现;万振凯;《天津工业大学学报》;第38卷(第3期);第66-73页 * |
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