[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN113311779B - A buoy data acquisition and processing control system - Google Patents

A buoy data acquisition and processing control system Download PDF

Info

Publication number
CN113311779B
CN113311779B CN202110583414.1A CN202110583414A CN113311779B CN 113311779 B CN113311779 B CN 113311779B CN 202110583414 A CN202110583414 A CN 202110583414A CN 113311779 B CN113311779 B CN 113311779B
Authority
CN
China
Prior art keywords
sensor
data acquisition
buoy
node
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110583414.1A
Other languages
Chinese (zh)
Other versions
CN113311779A (en
Inventor
陈路
杨睿
肖志伟
吴丹青
何畅
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hunan Guotian Electronic Technology Co ltd
Original Assignee
Hunan Guotian Electronic Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hunan Guotian Electronic Technology Co ltd filed Critical Hunan Guotian Electronic Technology Co ltd
Priority to CN202110583414.1A priority Critical patent/CN113311779B/en
Publication of CN113311779A publication Critical patent/CN113311779A/en
Application granted granted Critical
Publication of CN113311779B publication Critical patent/CN113311779B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/048Monitoring; Safety

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Arrangements For Transmission Of Measured Signals (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)

Abstract

本发明提供一种浮标数据采集处理控制系统,所述控制系统包括传感器系统、定位系统、报警系统、检测系统、通信系统、供电系统和数据采集处理器;所述数据采集处理器与所述传感器系统、所述定位系统、所述报警系统、所述检测系统、所述通信系统均通信连接,与所述供电系统电连接;所述传感器系统包括N个传感器构成的N个传感器节点得到数据采集无线网络,所述数据采集处理器采用近邻启发式算法来逐步监测所述N个传感器节点的传感器,具有集成性、计算能力、稳定性高的优点,通过减少传感器节点用于通信的能量消耗,显著增加了系统的寿命,确保了高质量的无线链路,减少了数据延迟的现象发生。

Figure 202110583414

The invention provides a buoy data acquisition and processing control system, the control system includes a sensor system, a positioning system, an alarm system, a detection system, a communication system, a power supply system and a data acquisition processor; the data acquisition processor and the sensor The system, the positioning system, the alarm system, the detection system, and the communication system are all connected in communication and electrically connected with the power supply system; the sensor system includes N sensor nodes composed of N sensors to obtain data collection Wireless network, the data acquisition processor adopts the neighbor heuristic algorithm to gradually monitor the sensors of the N sensor nodes, which has the advantages of integration, computing power and high stability. By reducing the energy consumption of the sensor nodes for communication, Significantly increases the life of the system, ensures a high-quality wireless link, and reduces the occurrence of data delays.

Figure 202110583414

Description

Buoy data acquisition processing control system
Technical Field
The invention belongs to the technical field of buoy data acquisition, and particularly relates to a buoy data acquisition processing control system.
Background
In recent years, the technology of marine science is rapidly developed, along with the dramatic increase of the demand of marine application, the dependence of human beings on marine environment information is stronger and stronger, marine environment data is the basis and the premise for developing and utilizing marine resources, and the demand is not only on the diversification of the content of the marine environment data information, but also on the real-time property and the expression form of the obtained data information, namely, the marine environment data information is fully utilized to provide information service for marine navigation safety, weather forecast, disaster early warning and national defense activities.
However, at present, the marine environment data information has a great challenge in the technical field of effective management, and problems of difficult data transmission, large information amount, non-standard format, difficult statistical analysis, asynchronous real-time data and the like still exist.
Disclosure of Invention
Aiming at the defects, the invention provides the buoy data acquisition processing control system which has the advantages of high integration, computing capability and stability, obviously prolongs the service life of the system by reducing the energy consumption of the sensor nodes for communication, ensures a high-quality wireless link and reduces the occurrence of data delay.
The invention provides the following technical scheme: a buoy data acquisition processing control system comprises a sensor system, a positioning system, an alarm system, a detection system, a communication system, a power supply system and a data acquisition processor; the data acquisition processor is in communication connection with the sensor system, the positioning system, the alarm system, the detection system and the communication system and is electrically connected with the power supply system;
the sensor system comprises N sensor nodes formed by N sensors to obtain a data acquisition wireless network, the data acquisition processor adopts a neighbor heuristic algorithm to gradually monitor the sensors of the N sensor nodes, and the delay of data transmission is reduced, and the method comprises the following steps:
s1: constructing the sensors of the N nodes into a wireless sensor network model of which each node corresponds to one point in Euclidean space, and setting a certain node S (x)0,y0) Is an initial variable;
s2: from the node S (x)0,y0) Finding the closest unmonitored primary sensor node P (x)1,y1);
S3: if the first-level sensor node P (x) is found1,y1) From the primary sensor node P (x)1,y1) Finding the closest unmonitored secondary sensor node Q (x)2,y2) And calculating the primary sensor node P (x)1,y1) To the node S (x)0,y0) And the secondary sensor node Q (x)2,y2) The vertical distance d (P, X) of the vertical intersection X of the connecting lines;
s4: comparing the vertical distance d (P, X) with the transmission range radius r of the sensor node, and selecting the sensor node which continuously monitors the initial variables of other sensors;
s5: if the node P (x) and the sensor node P (x) are not found1,y1) The node S (x) returning to the initial variable0,y0) And repeating the steps S1-S4.
Further, the vertical distance d (P, X) in the step S3 is calculated by the following formula:
Figure BDA0003087042610000021
further, the method for selecting the sensor node which continues to monitor the initial variables of the other sensors in the step S4 is as follows:
if d (P, X) < r, moving a monitoring target to the secondary sensor node Q (X)2,y2) And connecting the secondary sensor node Q (x)2,y2) Repeating the steps S1-S3 as an initial variable, and assigning the primary sensor node P (x)1,y1) And the secondary sensor node Q (x)2,y2) As monitored sensor nodes;
if r of d (P, X), the monitoring target moves to the primary sensor node P (X)1,y1) And connecting the secondary sensor node P (x)1,y1) Repeating the steps S1-S3 as an initial variable, and assigning the primary sensor node P (x)1,y1) As monitored sensor nodes.
Further, the sensor system comprises a temperature and humidity sensor, a wind speed and direction sensor, an air pressure sensor, a water temperature detection sensor, a salinity detection sensor and a wave hydrological sensor, and the sensor system is used for acquiring hydrological meteorological signals and transmitting the acquired signals to a data acquisition processor for signal processing.
Furthermore, positioning system includes big dipper satellite positioning module and GPS orientation module, positioning system adopts big dipper satellite positioning module with GPS orientation module combined positioning will the positioning data packing that GPS orientation module gathered is sent to the marine data package, passes through big dipper communication transmission to data management center with other data, adopts big dipper satellite positioning module with GPS orientation module combined positioning has guaranteed data transmission's continuity.
Furthermore, the communication system is a Beidou satellite communication system, a control terminal of the Beidou satellite communication system is installed on a buoy loaded with a sensor system, and acquired data are transmitted to a data management center through a Beidou satellite according to a specified transmission protocol.
Furthermore, the power supply system is used for providing an energy source for the buoy loaded with the sensor system, and consists of a solar panel, a storage battery and a power management module, wherein the solar panel charges the storage battery, so that the storage battery is ensured to supply power for various electrical equipment on the buoy.
Furthermore, the alarm system and the detection system display and process various parameters collected by the buoy, and are used for monitoring the state of the buoy in real time to ensure the operation safety of the buoy.
Further, the acquisition processing method of the data acquisition processor comprises the following steps: FIG. 3
1) Firstly, the data acquisition processor performs signal integration on analog quantity, pulse quantity, switching quantity and serial port quantity output by each sensor in the sensor system;
2) then, the data acquisition processor performs analog-to-digital conversion on the analog signal, processes the digital signal and stores the digital signal into the data acquisition processor;
3) and the data acquisition unit transmits the stored digital signals to a computer of a shore station receiving and processing system through Beidou satellite remote communication.
The invention has the beneficial effects that:
1. the buoy data acquisition, processing and control system provided by the invention has the advantages of high integration, computing capability and stability.
2. Using a data acquisition processor to collect measurements collected by the sensor nodes significantly increases the life of the system by reducing the energy consumption of the sensor nodes for communication. The method reduces the energy consumption and the data damage probability caused by the wireless link when the sensor node is used as a relay and a single packet needs to be sent to the base station by each node on the routing path for multiple times, further reduces the occurrence of the situation that the probability of losing and retransmitting the lost packet is increased along with the increase of the length of the routing path, ensures a high-quality wireless link and reduces the occurrence of the data delay phenomenon.
3. The buoy data acquisition, processing and control system has the advantages of remote control, program and parameter modification, and time-sharing control and power-on of each sensor.
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 structural diagram of a buoy data acquisition, processing and control system provided by the invention;
FIG. 2 is a plan view of a node S, a primary sensor node P, and a secondary sensor node Q when calculating a vertical distance d (P, X) in a neighbor heuristic algorithm of a data acquisition processor in the system provided by the present invention;
fig. 3 is a flowchart of an acquisition processing method of a data acquisition processor in the system provided by the present invention.
Detailed description of the preferred embodiments
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
As shown in fig. 1, the buoy data acquisition, processing and control system provided in this embodiment includes a sensor system, a positioning system, an alarm system, a detection system, a communication system, a power supply system, and a data acquisition processor; the data acquisition processor is in communication connection with the sensor system, the positioning system, the alarm system, the detection system and the communication system and is electrically connected with the power supply system;
the sensor system comprises a temperature and humidity sensor, a wind speed and direction sensor, an air pressure sensor, a water temperature detection sensor, a salinity detection sensor and a wave hydrological sensor, and is used for acquiring hydrological meteorological signals and transmitting the acquired signals to a data acquisition processor for signal processing.
Positioning system includes big dipper satellite positioning module and GPS orientation module, and positioning system adopts big dipper satellite positioning module and GPS orientation module combination location, sends the location data packing that GPS orientation module gathered to the marine data package, and with other data through big dipper communication transmission to data management center, adopts big dipper satellite positioning module and GPS orientation module combination location, has guaranteed data transmission's continuity.
The communication system is a Beidou satellite communication system, a control terminal of the Beidou satellite communication system is installed on a buoy loaded with a sensor system, and acquired data are transmitted to a data management center through a Beidou satellite according to a specified transmission protocol.
The power supply system is used for providing an energy source for the buoy loaded with the sensor system, and consists of a solar panel, a storage battery and a power management module, wherein the solar panel charges the storage battery, and the storage battery is ensured to supply power for various electrical equipment on the buoy.
The alarm system and the detection system display and process various parameters collected by the buoy, and are used for monitoring the state of the buoy in real time to ensure the operation safety of the buoy.
Example 2
As shown in fig. 1, the buoy data acquisition, processing and control system provided in this embodiment includes a sensor system, a positioning system, an alarm system, a detection system, a communication system, a power supply system, and a data acquisition processor; the data acquisition processor is in communication connection with the sensor system, the positioning system, the alarm system, the detection system and the communication system and is electrically connected with the power supply system;
the sensor system comprises N sensor nodes formed by N sensors to obtain a data acquisition wireless network, the data acquisition processor adopts a neighbor heuristic algorithm to gradually monitor the sensors of the N sensor nodes, and the delay of data transmission is reduced, and the method comprises the following steps:
s1: constructing sensors of N nodes into a wireless sensor network model with each node corresponding to one point in Euclidean space, and setting a certain node S (x)0,y0) Is an initial variable;
s2: slave node S (x)0,y0) Finding the closest unmonitored primary sensor node P (x)1,y1);
S3: if the first-level sensor node P (x) is found1,y1) From the primary sensor node P (x)1,y1) Finding the closest unmonitored secondary sensor node Q (x)2,y2) And calculates a primary sensor node P (x)1,y1) To node S (x)0,y0) And a secondary sensor node Q (x)2,y2) The vertical distance d (P, X) of the vertical intersection X of the connecting lines;
s4: comparing the vertical distance d (P, X) with the transmission range radius r of the sensor node, and selecting the sensor node which continuously monitors the initial variables of other sensors;
s5: if not found and the sensor node P (x)1,y1) Return to node S (x) of the original variable0,y0) And repeating the steps S1-S4.
As shown in fig. 2, the calculation formula of the vertical distance d (P, X) in the step S3 is as follows:
Figure BDA0003087042610000071
the method for selecting the sensor node which continues to monitor the initial variables of other sensors in the step S4 is as follows:
if d (P, X) < r, the monitoring target moves to a secondary sensor node Q (X)2,y2) And will be the secondary sensor node Q (x)2,y2) As an initial variable, steps S1-S3 are repeated, and the primary sensor node P (x)1,y1) And a secondary sensor node Q (x)2,y2) As monitored sensor nodes;
if d (P, X) is larger than or equal to r, the monitoring target moves to the first-level sensor node P (X)1,y1) And will two level sensor node P (x)1,y1) As an initial variable, steps S1-S3 are repeated, and the primary sensor node P (x)1,y1) As monitored sensor nodes.
The sensor system comprises a temperature and humidity sensor, a wind speed and direction sensor, an air pressure sensor, a water temperature detection sensor, a salinity detection sensor and a wave hydrological sensor, and is used for acquiring hydrological meteorological signals and transmitting the acquired signals to a data acquisition processor for signal processing.
Positioning system includes big dipper satellite positioning module and GPS orientation module, and positioning system adopts big dipper satellite positioning module and GPS orientation module combination location, sends the location data packing that GPS orientation module gathered to the marine data package, and with other data through big dipper communication transmission to data management center, adopts big dipper satellite positioning module and GPS orientation module combination location, has guaranteed data transmission's continuity.
The communication system is a Beidou satellite communication system, a control terminal of the Beidou satellite communication system is installed on a buoy loaded with a sensor system, and acquired data are transmitted to a data management center through a Beidou satellite according to a specified transmission protocol.
The power supply system is used for providing an energy source for the buoy loaded with the sensor system, and consists of a solar panel, a storage battery and a power management module, wherein the solar panel charges the storage battery, and the storage battery is ensured to supply power for various electrical equipment on the buoy.
The alarm system and the detection system display and process various parameters collected by the buoy, and are used for monitoring the state of the buoy in real time to ensure the operation safety of the buoy.
Example 3
As shown in fig. 3, the acquisition processing method of the data acquisition processor by using the buoy data acquisition processing control system provided in embodiment 2 includes the following steps:
1) firstly, a data acquisition processor performs signal integration on analog quantity, pulse quantity, switching quantity and serial quantity output by each sensor in a sensor system;
2) then, the data acquisition processor performs analog-to-digital conversion on the analog signal, processes the digital signal and stores the digital signal into the data acquisition processor;
3) and the data acquisition unit transmits the stored digital signals to a computer of a shore station receiving and processing system through Beidou satellite remote communication.
The data acquisition control part of the system selects a data acquisition processor, and the data acquisition processor is used for performing data acquisition, storage, calculation, screening and transmission functions. The data acquisition processor integrates and converts signals of the sensors, stores the data in the instrument after processing and screening, and transmits the data to the computer through the satellite receiving end to realize the acquisition processing control of the information.
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 embodiments can be combined in any way as long as there is no structural conflict. It is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
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.

Claims (9)

1.一种浮标数据采集处理控制系统,其特征在于,所述控制系统包括传感器系统、定位系统、报警系统、检测系统、通信系统、供电系统和数据采集处理器;所述数据采集处理器与所述传感器系统、所述定位系统、所述报警系统、所述检测系统、所述通信系统均通信连接,与所述供电系统电连接;1. A buoy data acquisition and processing control system is characterized in that, the control system comprises a sensor system, a positioning system, an alarm system, a detection system, a communication system, a power supply system and a data acquisition processor; the data acquisition processor and The sensor system, the positioning system, the alarm system, the detection system, and the communication system are all connected in communication and electrically connected with the power supply system; 所述传感器系统包括N个传感器构成的N个传感器节点得到数据采集无线网络,所述数据采集处理器采用近邻启发式算法来逐步监测所述N个传感器节点的传感器,减少数据传输的延迟,包括以下步骤:The sensor system includes N sensor nodes composed of N sensors to obtain a wireless network for data collection, and the data collection processor adopts a neighbor heuristic algorithm to gradually monitor the sensors of the N sensor nodes to reduce the delay of data transmission, including: The following steps: S1:将N个节点的传感器构建为每个节点均对应于欧氏空间中的一个点的无线传感器网络模型,设置某一节点S(x0,y0)为初始变量;S1: Build the sensors of N nodes into a wireless sensor network model in which each node corresponds to a point in the Euclidean space, and set a certain node S(x 0 , y 0 ) as the initial variable; S2:从所述节点S(x0,y0)查找到最接近的未被监测到的一级传感器节点P(x1,y1);S2: Find the closest unmonitored first-level sensor node P(x 1 , y 1 ) from the node S(x 0 , y 0 ); S3:若查找到所述一级传感器节点P(x1,y1),再从所述一级传感器节点P(x1,y1)找到最接近的未被监测到的二级传感器节点Q(x2,y2),并计算所述一级传感器节点P(x1,y1)至所述节点S(x0,y0)和所述二级传感器节点Q(x2,y2)连线的垂直交点X的垂直距离d(P,X);S3: If the first-level sensor node P(x 1 , y 1 ) is found, then find the closest unmonitored second-level sensor node Q from the first-level sensor node P(x 1 , y 1 ). (x 2 , y 2 ), and calculate the primary sensor node P(x 1 , y 1 ) to the node S(x 0 , y 0 ) and the secondary sensor node Q(x 2 , y 2 ) ) The vertical distance d(P, X) of the vertical intersection X of the connection; S4:并比较所述垂直距离d(P,X)与传感器节点的传输范围半径r,选择继续监测其他传感器的初始变量的传感器节点;S4: and compare the vertical distance d(P, X) with the transmission range radius r of the sensor node, and select the sensor node that continues to monitor the initial variables of other sensors; S5:若没有查找到所述一级 传感器节点P(x1,y1)则返回至初始变量的所述节点S(x0,y0),重复所述步骤S1-S4。S5: If the first-level sensor node P(x 1 , y 1 ) is not found, return to the node S(x 0 , y 0 ) of the initial variable, and repeat the steps S1-S4. 2.根据权利要求1所述的一种浮标数据采集处理控制系统,其特征在于,所述S3步骤中所述垂直距离d(P,X)的计算公式如下:2. a kind of buoy data acquisition and processing control system according to claim 1, is characterized in that, the calculation formula of described vertical distance d (P, X) in described S3 step is as follows:
Figure FDA0003087042600000021
Figure FDA0003087042600000021
3.根据权利要求1所述的一种浮标数据采集处理控制系统,其特征在于,所述S4步骤中的选择继续监测其他传感器的初始变量的传感器节点的方法为:3. A kind of buoy data acquisition and processing control system according to claim 1, is characterized in that, the method of selecting the sensor node that continues to monitor the initial variable of other sensors in the described S4 step is: 若d(P,X)<r,则监测目标移动至所述二级传感器节点Q(x2,y2),并将所述二级传感器节点Q(x2,y2)作为初始变量,重复所述步骤S1-S3,并将所述一级传感器节点P(x1,y1)和所述二级传感器节点Q(x2,y2)作为已监测传感器节点;If d(P, X)<r, the monitoring target moves to the secondary sensor node Q(x 2 , y 2 ), and the secondary sensor node Q(x 2 , y 2 ) is used as the initial variable, Repeating the steps S1-S3, and using the primary sensor node P(x 1 , y 1 ) and the secondary sensor node Q(x 2 , y 2 ) as monitored sensor nodes; 若d(P,X)≥r,则监测目标移动至所述一级传感器节点P(x1,y1)并将所述二级传感器节点P(x1,y1)作为初始变量,重复所述步骤S1-S3,并将所述一级传感器节点P(x1,y1)作为已监测传感器节点。If d(P, X) ≥ r, the monitoring target moves to the primary sensor node P(x 1 , y 1 ) and the secondary sensor node P(x 1 , y 1 ) is used as the initial variable, repeating In the steps S1-S3, the first-level sensor node P(x 1 , y 1 ) is regarded as a monitored sensor node. 4.根据权利要求1所述的一种浮标数据采集处理控制系统,其特征在于,所述传感器系统包括有温湿度传感器、风速风向传感器、气压传感器、水温检测传感器、盐度检测传感器、波浪水文传感器,所述传感器系统用于进行水文气象信号的采集,并将采集到的信号传输给数据采集处理器进行信号处理。4. A buoy data acquisition and processing control system according to claim 1, wherein the sensor system comprises a temperature and humidity sensor, a wind speed and direction sensor, an air pressure sensor, a water temperature detection sensor, a salinity detection sensor, a wave hydrology sensor The sensor system is used to collect hydrometeorological signals, and transmit the collected signals to a data collection processor for signal processing. 5.根据权利要求1所述的一种浮标数据采集处理控制系统,其特征在于,所述定位系统包括北斗卫星定位模块和GPS定位模块,所述定位系统采用所述北斗卫星定位模块和所述GPS定位模块组合定位,将所述GPS定位模块采集到的定位数据打包发送至海洋数据包中,同其他数据通过北斗通信传输至数据管理中心,采用所述北斗卫星定位模块和所述GPS定位模块组合定位,保证了数据传输的连续性。5. A buoy data acquisition and processing control system according to claim 1, wherein the positioning system comprises a Beidou satellite positioning module and a GPS positioning module, and the positioning system adopts the Beidou satellite positioning module and the The GPS positioning module combines positioning, the positioning data collected by the GPS positioning module is packaged and sent to the marine data package, and transmitted to the data management center through Beidou communication with other data, using the Beidou satellite positioning module and the GPS positioning module. Combined positioning ensures the continuity of data transmission. 6.根据权利要求1所述的一种浮标数据采集处理控制系统,其特征在于,所述通信系统为北斗卫星通信系统,将所述北斗卫星通信系统的控制终端安装在装载有传感器系统的浮标上,将采集到的数据按规定的传输协议通过北斗卫星传输到数据管理中心。6 . A buoy data acquisition and processing control system according to claim 1 , wherein the communication system is a Beidou satellite communication system, and a control terminal of the Beidou satellite communication system is installed on a buoy loaded with a sensor system. 7 . The collected data is transmitted to the data management center through the Beidou satellite according to the specified transmission protocol. 7.根据权利要求1所述的一种浮标数据采集处理控制系统,其特征在于,所述供电系统用于为装载有传感器系统的浮标提供能量来源,所述供电系统由太阳能电池板、蓄电池和电源管理模块组成,所述太阳能电池板为所述蓄电池充电,保证所述蓄电池为浮标上各种电气设备的供电。7. A buoy data acquisition, processing and control system according to claim 1, wherein the power supply system is used to provide an energy source for the buoy loaded with the sensor system, and the power supply system is composed of solar panels, batteries and It is composed of a power management module, and the solar panel charges the battery to ensure that the battery supplies power for various electrical equipment on the buoy. 8.根据权利要求1所述的一种浮标数据采集处理控制系统,其特征在于,所述报警系统和所述检测系统对浮标采集的各项参数进行显示和处理,并用于对浮标状态进行实时监控,保障浮标运行安全。8 . The buoy data acquisition and processing control system according to claim 1 , wherein the alarm system and the detection system display and process various parameters collected by the buoy, and are used for real-time monitoring of the buoy state. 9 . Monitoring to ensure the safe operation of buoys. 9.根据权利要求1-8任一所述的一种浮标数据采集处理控制系统,所述数据采集处理器的采集处理方法,包括以下步骤:9. A buoy data acquisition and processing control system according to any one of claims 1-8, the acquisition and processing method of the data acquisition processor, comprising the following steps: 1)首先,所述数据采集处理器对所述传感器系统中的各个传感器输出的模拟量、脉冲量、开关量、串口量进行信号整合;1) First, the data acquisition processor performs signal integration on the analog quantity, pulse quantity, switch quantity and serial quantity output by each sensor in the sensor system; 2)然后,所述数据采集处理器对模拟信号进行模数转换,将数字信号进行加工并存储至数据采集处理器中;2) Then, the data acquisition processor performs analog-to-digital conversion on the analog signal, and the digital signal is processed and stored in the data acquisition processor; 3)所述数据采集器将存储的数字信号通过北斗卫星远程通信传输给岸站接受处理系统的计算机。3) The data collector transmits the stored digital signal to the computer of the shore station receiving processing system through Beidou satellite telecommunication.
CN202110583414.1A 2021-05-27 2021-05-27 A buoy data acquisition and processing control system Active CN113311779B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110583414.1A CN113311779B (en) 2021-05-27 2021-05-27 A buoy data acquisition and processing control system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110583414.1A CN113311779B (en) 2021-05-27 2021-05-27 A buoy data acquisition and processing control system

Publications (2)

Publication Number Publication Date
CN113311779A CN113311779A (en) 2021-08-27
CN113311779B true CN113311779B (en) 2022-03-01

Family

ID=77375455

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110583414.1A Active CN113311779B (en) 2021-05-27 2021-05-27 A buoy data acquisition and processing control system

Country Status (1)

Country Link
CN (1) CN113311779B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115755685A (en) * 2022-11-09 2023-03-07 中国海洋大学 Dual-processor ocean drifting buoy control system

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101705813A (en) * 2008-10-22 2010-05-12 傅城 Wireless sensor network based drilling well site monitoring system
CN101808289A (en) * 2010-04-07 2010-08-18 上海交通大学 Method for acquiring data of wireless sensor network based on mobile sink node
CN201937834U (en) * 2010-12-18 2011-08-17 西安迅腾科技有限责任公司 Wireless sensor node for remotely automatically sampling and measuring air quality
CN102724729A (en) * 2012-06-29 2012-10-10 浙江大学 Shortest neighbor node path energy-saving communication method for agricultural Internet of things
CN202676686U (en) * 2012-06-07 2013-01-16 山东科技大学 Mine dust concentration monitoring system based on wireless sensor network
CN103260170A (en) * 2013-05-20 2013-08-21 华北科技学院 Method for node placement of Internet of Things
CN104754683A (en) * 2015-04-02 2015-07-01 西北工业大学 Wireless sensor network data acquisition method based on multi-hop routing and mobile elements
WO2019001210A1 (en) * 2017-06-27 2019-01-03 国家海洋局第一海洋研究所 Novel subsurface buoy data acquisition system
CN110182318A (en) * 2019-05-14 2019-08-30 大连理工大学 A kind of marine information on-line monitoring buoyage towards winter sea ice risk management
CN112100514A (en) * 2020-08-31 2020-12-18 浙江工业大学 Social network service platform friend recommendation method based on global attention mechanism representation learning
AU2021100998A4 (en) * 2021-02-23 2021-04-29 University of South China Wireless sensor network–based intelligent safety monitoring system for underground non-coal mine

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009154974A2 (en) * 2008-05-27 2009-12-23 Innovative American Technology, Inc. Floating intelligent perimeter sensor system
US20160359570A1 (en) * 2015-06-02 2016-12-08 Umm Al-Qura University Measurement system for seas, rivers and other large water bodies

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101705813A (en) * 2008-10-22 2010-05-12 傅城 Wireless sensor network based drilling well site monitoring system
CN101808289A (en) * 2010-04-07 2010-08-18 上海交通大学 Method for acquiring data of wireless sensor network based on mobile sink node
CN201937834U (en) * 2010-12-18 2011-08-17 西安迅腾科技有限责任公司 Wireless sensor node for remotely automatically sampling and measuring air quality
CN202676686U (en) * 2012-06-07 2013-01-16 山东科技大学 Mine dust concentration monitoring system based on wireless sensor network
CN102724729A (en) * 2012-06-29 2012-10-10 浙江大学 Shortest neighbor node path energy-saving communication method for agricultural Internet of things
CN103260170A (en) * 2013-05-20 2013-08-21 华北科技学院 Method for node placement of Internet of Things
CN104754683A (en) * 2015-04-02 2015-07-01 西北工业大学 Wireless sensor network data acquisition method based on multi-hop routing and mobile elements
WO2019001210A1 (en) * 2017-06-27 2019-01-03 国家海洋局第一海洋研究所 Novel subsurface buoy data acquisition system
CN110182318A (en) * 2019-05-14 2019-08-30 大连理工大学 A kind of marine information on-line monitoring buoyage towards winter sea ice risk management
CN112100514A (en) * 2020-08-31 2020-12-18 浙江工业大学 Social network service platform friend recommendation method based on global attention mechanism representation learning
AU2021100998A4 (en) * 2021-02-23 2021-04-29 University of South China Wireless sensor network–based intelligent safety monitoring system for underground non-coal mine

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Energy-Balance Heuristic Distributed Algorithm for Target Coverage in Wireless Sensor Networks with Adjustable Sensing Ranges;Hongwu Zhang;《2009 Asia-Pacific Conference on Information Processing》;20091231;全文 *
基于可见光通信的无人机海洋生态采集系统;谭智诚 等;《数字通信世界》;20181213;全文 *
基于无线网络的海洋传感数据实时传输系统设计;曲乐成;《技术研究》;20151231;全文 *
无线传感网移动数据收集路径规划算法;朱敬华;《北京邮电大学学报》;20160630;全文 *

Also Published As

Publication number Publication date
CN113311779A (en) 2021-08-27

Similar Documents

Publication Publication Date Title
Ingelrest et al. Sensorscope: Application-specific sensor network for environmental monitoring
CN114793238B (en) Low-power-consumption high-precision multi-parameter self-adaptive Beidou Internet of things terminal
Huang et al. A practical marine wireless sensor network monitoring system based on LoRa and MQTT
CN109982287B (en) Forestry multi-sensor fire warning system based on zigbee wireless sensor network
JP6437152B1 (en) Tree watching system
CN113311779B (en) A buoy data acquisition and processing control system
Nguyen et al. On the design of energy efficient environment monitoring station and data collection network based on ubiquitous wireless sensor networks
CN116599602B (en) Low-energy-consumption long-distance sonar communication system for ocean monitoring
CN114580561A (en) Machine learning fusion method and model for multisource sea surface physical elements
CN110852512A (en) Sea wave prediction system, method and equipment
Vázquez-Castillo et al. Energy-saving techniques for urban noise WSN with Kalman-based state estimation and green facade energy harvester
CN105068452B (en) Marine environment remote detecting system
Höchst et al. tRackIT OS: Open-source software for reliable VHF wildlife tracking
KR20070105488A (en) Seawater Information Management System
Gricius et al. Advanced approach of multiagent based buoy communication
CN203299851U (en) Throwing-type data acquisition terminal system for monitoring and early warning
Alippi et al. Effective design of WSNs: From the lab to the real world
Liu et al. MOLTS: Mobile object localization and tracking system based on wireless sensor networks
CN109164510A (en) A kind of Design of meteorological data collection and its working method based on NB-IoT transmission mode
CN115394029A (en) Forest fire early warning system and method
CN203775247U (en) BD-GPS and WSN-integrated monitoring sensor network
Pandey et al. DoA-based event localization using uniform concentric circular array in the IoT environment
Flores-Cortés et al. Performance Evaluation of an IEEE 802.15. 4 Wireless Sensor Network on a Coastal Environment.
CN208860979U (en) A kind of Design of meteorological data collection based on NB-IoT transmission mode
Diamant et al. Development of a submerged hub for monitoring the deep sea

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: A Buoy Data Acquisition and Processing Control System

Effective date of registration: 20221027

Granted publication date: 20220301

Pledgee: Hunan Xiangjiang Zhongying Investment Management Co.,Ltd.

Pledgor: HUNAN GUOTIAN ELECTRONIC TECHNOLOGY CO.,LTD.

Registration number: Y2022980019937

PE01 Entry into force of the registration of the contract for pledge of patent right
PC01 Cancellation of the registration of the contract for pledge of patent right

Granted publication date: 20220301

Pledgee: Hunan Xiangjiang Zhongying Investment Management Co.,Ltd.

Pledgor: HUNAN GUOTIAN ELECTRONIC TECHNOLOGY CO.,LTD.

Registration number: Y2022980019937

PC01 Cancellation of the registration of the contract for pledge of patent right