CN114547129B - Distributed satellite data receiving system and method based on big data storage platform - Google Patents
Distributed satellite data receiving system and method based on big data storage platform Download PDFInfo
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- CN114547129B CN114547129B CN202111534866.7A CN202111534866A CN114547129B CN 114547129 B CN114547129 B CN 114547129B CN 202111534866 A CN202111534866 A CN 202111534866A CN 114547129 B CN114547129 B CN 114547129B
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
The invention discloses a distributed satellite data receiving system and a distributed satellite data receiving method based on a big data storage platform, wherein the system comprises a plurality of data receiving computers, the big data storage platform and a monitoring computer, wherein the plurality of data receiving computers comprise a public data receiving computer and a plurality of observation data receiving computers, the public data receiving computer is used for receiving public data, and each data receiving computer in the plurality of observation data receiving computers is respectively used for establishing connection with a corresponding observation station according to a set observation station list and receiving observation data of the observation station; the big data storage platform is used for storing public data and observation data; the monitoring computer is used for monitoring the running state of each data receiving computer. The invention adopts a distributed architecture, connects different observation stations on a plurality of general computers respectively and receives different types of data, can reduce the requirement of a large amount of received data on the performance of the computers and has good expansibility.
Description
Technical Field
The invention belongs to the technical field of satellite data receiving, and particularly relates to a distributed satellite data receiving system and method based on a big data storage platform.
Background
In the process of satellite data processing, satellite data of all satellite observation sites need to be received, processed and stored in real time. With the development of satellite business, more satellites are provided, and more ground satellite observation sites are provided, which puts higher requirements on the data processing capacity of a computer responsible for receiving data by a unit. The general idea is to solve the problem based on the performance optimization of software and the performance improvement of computers, but as the amount of data to be received is larger and larger, the improvement of the software performance optimization is limited, and the cost of the computers with higher performance is higher, which brings great financial pressure. Meanwhile, as the data volume is increased, the real-time storage of data also brings higher challenges under the condition that the receiving and processing capabilities are barely satisfied with the requirements.
Disclosure of Invention
In order to solve the above problems in the prior art, the present invention provides a distributed satellite data receiving system and method based on a large data storage platform. The technical problem to be solved by the invention is realized by the following technical scheme:
one aspect of the present invention provides a distributed satellite data receiving system based on a big data storage platform, comprising a plurality of data receiving computers, a big data storage platform and a monitoring computer, wherein,
the plurality of data receiving computers comprise a public data receiving computer and a plurality of observation data receiving computers, wherein the public data receiving computer is used for receiving public data, the public data is data which is common to all observation stations, and each data receiving computer in the plurality of observation data receiving computers is respectively used for establishing connection with a corresponding observation station according to a set observation station list and receiving observation data from the corresponding observation station;
the big data storage platform is used for receiving and storing the public data and observation data from each observation data receiving computer;
the monitoring computer is connected to the plurality of data receiving computers and is used for monitoring the running state of each data receiving computer.
In one embodiment of the present invention, each observation data receiving computer is provided with a configuration file setting module, a data receiving module and a data transmitting module, wherein,
the configuration file setting module is internally provided with a communication configuration file and an observation station configuration file, wherein the communication configuration file comprises an Ntrip server IP, a port, a user name and a password, and the observation station configuration file comprises an observation station list to be connected and an observation data type required to be received by each observation station;
the data receiving module is used for establishing connection with a corresponding observation station through an Ntrip protocol according to a set observation station list and receiving observation data of corresponding types;
and the data transmission module is used for uploading the received observation data to the big data storage platform.
In an embodiment of the present invention, each data receiving computer is further provided with a data processing module, and the data processing module is configured to perform data processing on the observation data according to a preset storage specification to form a required file format.
In an embodiment of the present invention, the data receiving module is specifically configured to:
reading a communication configuration file and an observation site configuration file, and acquiring a first observation site of data to be received; establishing connection with the first observation site through an Ntrip protocol and receiving and processing data; and judging whether the current observation station is the last observation station in the observation station configuration file, if not, establishing connection with the next observation station and performing data receiving and processing, and if so, finishing data receiving.
In one embodiment of the invention, said monitoring computer and said plurality of data processing computers are both within the same local area network.
In one embodiment of the invention, the monitoring computer is in data communication with the data processing computer using a Udp protocol.
Another aspect of the present invention provides a distributed satellite data receiving method based on a big data storage platform, which is performed by using the distributed satellite data receiving system described in any one of the above embodiments, and the method includes:
receiving observation data of different observation stations by using different observation data receiving computers;
utilizing a public data receiving computer for receiving public data;
performing data processing on the public data and the observation data to form a specified file format;
uploading the data in the file format to a big data storage platform for storage;
during the data receiving process, the operation state of each data receiving computer is monitored.
In one embodiment of the invention, receiving observation data for different observation sites with different observation data receiving computers comprises:
setting a communication configuration file and an observation station configuration file, wherein the communication configuration file comprises an Ntrip server IP, a port, a user name and a password, and the observation station configuration file comprises an observation station list to be connected and an observation data type required to be received by each observation station;
establishing connection with a corresponding observation station through an Ntrip protocol according to a set observation station list, and receiving observation data of a corresponding type;
according to a preset storage standard, carrying out data processing on the observation data to form a required file format;
and uploading the data in the file format to the big data storage platform.
In an embodiment of the present invention, establishing a connection with a corresponding observation station through an Ntrip protocol according to a set observation station list, and receiving observation data of a corresponding type, includes:
reading the communication configuration file and the observation site configuration file, and acquiring a first observation site of data to be received;
establishing connection with the first observation station through an Ntrip protocol and receiving data;
and judging whether the current observation station is the last observation station in the observation station configuration file, if not, establishing connection with the next observation station and receiving data, and if so, finishing data reception.
In one embodiment of the present invention, monitoring the operational status of each data receiving computer comprises:
receiving log information of each data receiving computer for data analysis and display;
judging the running state of each data receiving computer, and automatically reconnecting the data receiving computers when the data receiving computers are abnormally connected;
and generating log files with uniform formats and uploading the log files to a big data storage platform for storage.
Compared with the prior art, the invention has the beneficial effects that:
the distributed satellite data receiving system based on the big data storage platform is characterized in that different observation sites are respectively connected to a plurality of general computers by using a distributed architecture and receive different types of data, so that all data are integrally received. The system of the invention has good expansibility, theoretically, under the condition of not considering the number of hardware, the receiving and the storage of enough satellite site data can be realized, thereby leading the number of sites not to form the performance bottleneck of receiving data any more, and well solving the performance problems of more transmission sites, large data volume, high real-time requirement and long duration time in the satellite data receiving process.
The present invention will be described in further detail with reference to the accompanying drawings and examples.
Drawings
Fig. 1 is a module schematic diagram of a distributed satellite data receiving system based on a big data storage platform according to an embodiment of the present invention;
fig. 2 is a specific framework schematic diagram of a distributed satellite data receiving system based on a big data storage platform according to an embodiment of the present invention;
FIG. 3 is a block diagram of an observation data receiving computer according to an embodiment of the present invention;
FIG. 4 is a communication diagram of a monitoring computer according to an embodiment of the present invention;
FIG. 5 is a schematic processing flow chart of a monitoring computer according to an embodiment of the present invention;
fig. 6 is a flowchart of a satellite data distributed processing method based on a big data platform according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a data receiving process of an observation data receiving computer according to an embodiment of the present invention.
Detailed Description
In order to further explain the technical means and effects of the present invention adopted to achieve the predetermined invention purpose, the following detailed description is made in conjunction with the accompanying drawings and the detailed description to provide a distributed satellite data receiving system and method based on a big data storage platform according to the present invention.
The foregoing and other technical matters, features and effects of the present invention will be apparent from the following detailed description of the embodiments, which is to be read in connection with the accompanying drawings. The technical means and effects of the present invention adopted to achieve the predetermined purpose can be more deeply and specifically understood through the description of the specific embodiments, however, the attached drawings are provided for reference and description only and are not used for limiting the technical scheme of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that an article or device that comprises a list of elements does not include only those elements but may include other elements not expressly listed. Without further limitation, an element defined by the phrases "comprising one of \8230;" does not exclude the presence of additional like elements in an article or device comprising the element.
Example one
Referring to fig. 1 and 2, the distributed satellite data receiving system of the present embodiment includes a plurality of data receiving computers, a large data storage platform 1 and a monitoring computer 2. The plurality of data receiving computers comprise a public data receiving computer 3 and a plurality of observation data receiving computers 4, wherein the public data receiving computer 3 is used for receiving public data, the public data is data which is common to all observation stations, and each data receiving computer in the plurality of observation data receiving computers 4 is respectively used for establishing connection with a corresponding observation station according to a set observation station list and receiving observation data from the corresponding observation station.
Specifically, each observation site is the same for the common data, and therefore, when data reception is performed, it is only necessary that the common data reception computer 3 receive the common data from the real-time data network or any observation site.
Further, please refer to fig. 2, where fig. 2 is a schematic block diagram of an observation data receiving computer according to an embodiment of the present invention, each observation data receiving computer of this embodiment is provided with a configuration file setting module 41, a data receiving module 42, and a data transmission module 43, where a communication configuration file and an observation site configuration file are set in the configuration file setting module 41, the communication configuration file includes an Ntrip server IP, a port, a user name, and a password, and the observation site configuration file includes an observation site list to be connected and an observation data type that each observation site needs to receive; the data receiving module 42 is configured to establish a connection with a corresponding observation station through an Ntrip protocol according to a set observation station list, and receive observation data of a corresponding type; the data transmission module 43 is configured to upload the received observation data to the big data storage platform.
Further, the data receiving module 42 is specifically configured to: reading a communication configuration file and an observation site configuration file, and acquiring a first observation site of data to be received; establishing connection with the first observation station through an Ntrip protocol, and receiving and processing data; and judging whether the current observation station is the last observation station in the observation station configuration file, if not, establishing connection with the next observation station and performing data receiving and processing, and if so, finishing data receiving.
In this embodiment, each observation data receiving computer is further provided with a data processing module 44, configured to perform data processing on the observation data according to a preset storage specification, so as to form a required file format.
The application modules set on each observation data receiving computer are the same, and the list of the received observation sites is different, so that the observation data receiving computers can be distributed to proper sites according to the required receiving quantity of observation sites and the performance of the data receiving computers. Theoretically, the number of observation stations that can be received is not limited.
It should be noted that, when storing the file after the data receiving computer receives the data, the file needs to be stored in time intervals to avoid the file being too large. The length of the time interval depends on the frequency of the subsequent processing. If the processing is carried out once in 1 hour, 1 file can be stored in 1 hour; if the processing is performed once in 30 minutes, 1 file needs to be stored in 30 minutes. The following specification of the storage file is formed in a 1 hour period:
forming 1 file per hour corresponding to the private data of each observation site, wherein the time is determined according to the time in the received content (not according to the time of a computer); forming a directory and a file name according to the time and the site name, and providing convenience for acquiring data subsequently; the file storage form is as follows: the stored file format needs to be able to find the corresponding file by date, observation site name and hour.
The monitoring computer 2 is connected to the plurality of data receiving computers and is used for monitoring the running state of each data receiving computer, and the monitoring computer 2 and the plurality of data processing computers are all in the same local area network.
In the present embodiment, as shown in fig. 4, the monitoring computer 2 performs data communication with the data processing computer using the Udp protocol. Referring to fig. 5, fig. 5 is a schematic processing flow diagram of a monitoring module according to an embodiment of the present invention. The operation process of the monitoring computer 2 of the present embodiment is as follows: firstly, a monitoring program is started, communication configuration is read, a Udp monitoring thread is established with a data receiving computer, and log (log) information including information to be monitored, such as heartbeat, data receiving and sending conditions, algorithm execution conditions, execution time and the like, from each data receiving computer is received. And then, analyzing the log information, interpreting the data information and displaying the data information in a classified manner on a computer where the monitoring computer 2 is located so as to monitor the running condition of each data receiving computer. Further, a unified log file can be formed and sent to the big data storage platform for storage.
Further, the big data storage platform 1 is used for receiving and storing the common data and the observation data from each observation data receiving computer and the monitoring files generated by the monitoring computer 2.
In this embodiment, the plurality of data receiving computers and the monitoring computer 2 can both access the big data platform to read and write data. Because the packet loss rate is not considered in the high-speed local area network, the whole communication protocol adopts the Udp protocol, so that the starting sequence of all the application modules is not required to be arranged deliberately, a certain data processing computer client can be started and stopped at will, and data processing computers can be added at any time, thereby meeting the requirements of connection and transmission of continuous running applications and timed running applications.
In addition, the distributed satellite data receiving system of the embodiment has good expansibility, can flexibly configure stations according to the actual requirement of receiving satellite observation station data, and utilizes a general computer to complete the receiving of the satellite data. The expanding method comprises the following steps: any number of satellite observation site data receptions are satisfied by adjusting the receiving site list of each data receiving computer and increasing or decreasing the number of data receiving computers according to the number of satellite observation sites to be received and the data amount of each observation site.
In this embodiment, the monitoring computer 2 needs to receive and display log information of all data receiving computers, and can select a higher-performance computer to process, or reduce the types of log information, and reduce the amount of monitored information.
In this embodiment, the distributed satellite data receiving system based on the big data storage platform classifies data to be received by studying a communication protocol of a satellite observation site and according to the architecture and functions of the big data storage platform: for observation station data, dividing received stations according to the capacity of each data receiving computer, and completing data receiving of all stations by a plurality of receiving computers; for common data, other separate receiving computers may be scheduled to receive; meanwhile, the monitoring capability of the whole received information is provided, and each receiving computer sends the received state information to the monitoring computer to complete the monitoring of the receiving state of all data and the state of the receiving computer.
In the distributed satellite data receiving system based on the big data storage platform, different observation stations are respectively connected to a plurality of general computers through a distributed architecture and receive different types of data, so that all data are integrally received. The system of the invention has good expansibility, and can realize the receiving and storage of enough satellite site data theoretically without considering the number of hardware, thereby ensuring that the number of sites does not form the performance bottleneck of receiving data any more.
Example two
On the basis of the foregoing embodiments, the present embodiment provides a distributed satellite data receiving method based on a big data storage platform, and as shown in fig. 6, the distributed satellite data receiving method includes:
s1: and receiving the observation data of different observation stations by using different observation data receiving computers.
Specifically, a communication configuration file and an observation station configuration file are set, wherein the communication configuration file comprises an Ntrip server IP, a port, a user name and a password, and the observation station configuration file comprises an observation station list to be connected and an observation data type required to be received by each observation station; establishing connection with a corresponding observation station through an Ntrip protocol according to a set observation station list, and receiving observation data of a corresponding type; according to a preset storage standard, carrying out data processing on the observation data to form a required file format; and uploading the data in the file format to the big data storage platform.
Further, as shown in fig. 7, establishing a connection with a corresponding observation site through an Ntrip protocol according to a set observation site list, and receiving observation data of a corresponding type specifically includes:
reading the communication configuration file and the observation site configuration file, and acquiring a first observation site of data to be received; establishing connection with the first observation site through an Ntrip protocol and receiving data; and judging whether the current observation station is the last observation station in the observation station configuration file, if not, establishing connection with the next observation station and receiving data, and if so, finishing data reception.
In this embodiment, the application modules set on each observation data receiving computer are the same, but the list of the received observation sites is different, and the application modules can be allocated to the appropriate sites of each receiving computer according to the amount of observation site data to be received and the performance of the data receiving computer. Theoretically, the number of observation stations that can be received is not limited.
S2: a common data receiving computer is utilized for receiving common data.
The public data is data common to all observation stations, and each observation station is the same as the public data, so that the public data only needs to be received from a real-time data network or any observation station when data is received.
S3: and performing data processing on the public data and the observation data to form a specified file format.
Specifically, when storing a file after a data receiving computer receives data, the file needs to be stored in a time-division manner in order to avoid the file being too large. The length of the time interval depends on the frequency of the subsequent processing. If the processing is carried out once in 1 hour, 1 file can be stored in 1 hour; if the processing is performed once in 30 minutes, 1 file needs to be stored in 30 minutes.
S4: and uploading the data in the file format to a big data storage platform for storage.
S5: during the data receiving process, the operation state of each data receiving computer is monitored.
Further, the S5 includes:
s51: receiving log information of each data receiving computer for data analysis and display;
s52: judging the running state of each data receiving computer, and automatically reconnecting the data receiving computers when the data receiving computers are abnormally connected;
s53: and generating log files with uniform formats and uploading the log files to a big data storage platform for storage.
In this embodiment, the distributed satellite data receiving method based on the big data storage platform classifies data to be received by studying a communication protocol of a satellite observation station and according to the architecture and the function of the big data storage platform: for observation station data, dividing received stations according to the capacity of each data receiving computer, and completing data receiving of all stations by a plurality of receiving computers; for common data, other separate receiving computers may be scheduled to receive; meanwhile, the monitoring capability of the whole received information is provided, each receiving computer sends the received state information to the monitoring computer, the monitoring of the receiving states of all data and the states of the receiving computers is completed, and the performance problems of multiple transmission sites, large data volume, high real-time requirement and long duration in the satellite data receiving process can be well solved.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (8)
1. A distributed satellite data receiving system based on a big data storage platform is characterized by comprising a plurality of data receiving computers, the big data storage platform and a monitoring computer, wherein,
the plurality of data receiving computers comprise a public data receiving computer and a plurality of observation data receiving computers, wherein the public data receiving computer is used for receiving public data, the public data is data which is common to all observation stations, and each data receiving computer in the plurality of observation data receiving computers is respectively used for establishing connection with a corresponding observation station according to a set observation station list and receiving observation data from the corresponding observation station;
the big data storage platform is used for receiving and storing the public data and observation data from each observation data receiving computer;
the monitoring computer is connected to the plurality of data receiving computers and is used for monitoring the running state of each data receiving computer;
each observation data receiving computer is provided with a configuration file setting module, a data receiving module and a data transmission module, wherein,
the configuration file setting module is internally provided with a communication configuration file and an observation station configuration file, wherein the communication configuration file comprises an Ntrip server IP, a port, a user name and a password, and the observation station configuration file comprises an observation station list to be connected and an observation data type required to be received by each observation station;
the data receiving module is used for establishing connection with a corresponding observation station through an Ntrip protocol according to a set observation station list and receiving observation data of corresponding types;
the data transmission module is used for uploading the received observation data to the big data storage platform,
the monitoring computer and the plurality of data receiving computers are all positioned in the same local area network, and the operation process of the monitoring computer comprises the following steps:
starting a monitoring program, reading communication configuration, establishing a Udp monitoring thread with a data receiving computer, receiving log information from each data receiving computer, analyzing the log information, interpreting data information, and displaying the data information on the monitoring computer in a classified manner, so as to monitor the operation condition of each data receiving computer.
2. The distributed satellite data receiving system based on the big data storage platform as claimed in claim 1, wherein each data receiving computer is further provided with a data processing module, and the data processing module is configured to perform data processing on the observation data according to a preset storage specification to form a required file format.
3. The distributed satellite data receiving system based on big data storage platform as claimed in claim 2, wherein said data receiving module is specifically configured to:
reading a communication configuration file and an observation site configuration file, and acquiring a first observation site of data to be received; establishing connection with the first observation station through an Ntrip protocol, and receiving and processing data; and judging whether the current observation station is the last observation station in the observation station configuration file, if not, establishing connection with the next observation station and performing data receiving and processing, and if so, finishing data receiving.
4. The big data storage platform based distributed satellite data reception system of claim 1, wherein said monitoring computer is in data communication with said data reception computer using Udp protocol.
5. A distributed satellite data receiving method based on a big data storage platform, which is performed by using the distributed satellite data receiving system of any one of claims 1 to 4, the method comprising:
receiving observation data of different observation stations by using different observation data receiving computers;
utilizing a public data receiving computer for receiving public data;
performing data processing on the public data and the observation data to form a specified file format;
uploading the data in the file format to a big data storage platform for storage;
during the data receiving process, the operation state of each data receiving computer is monitored.
6. The distributed satellite data receiving method based on the big data storage platform as claimed in claim 5, wherein the receiving of the observation data of different observation sites by using different observation data receiving computers comprises:
setting a communication configuration file and an observation station configuration file, wherein the communication configuration file comprises an Ntrip server IP, a port, a user name and a password, and the observation station configuration file comprises an observation station list to be connected and an observation data type required to be received by each observation station;
establishing connection with a corresponding observation station through an Ntrip protocol according to a set observation station list, and receiving observation data of a corresponding type;
according to a preset storage standard, carrying out data processing on the observation data to form a required file format;
and uploading the data in the file format to the big data storage platform.
7. The distributed satellite data receiving method based on the big data storage platform as claimed in claim 6, wherein the establishing of the connection with the corresponding observation site through the Ntrip protocol according to the set observation site list and the receiving of the corresponding type of observation data comprises:
reading the communication configuration file and the observation site configuration file, and acquiring a first observation site of data to be received;
establishing connection with the first observation station through an Ntrip protocol and receiving data;
and judging whether the current observation station is the last observation station in the observation station configuration file, if not, establishing connection with the next observation station and receiving data, and if so, finishing data reception.
8. The distributed satellite data receiving method based on big data storage platform as claimed in claim 7, wherein monitoring the operation state of each data receiving computer comprises:
receiving log information of each data receiving computer to perform data analysis and display;
judging the running state of each data receiving computer, and automatically reconnecting the data receiving computers when the data receiving computers are abnormally connected;
and generating log files with uniform formats and uploading the log files to a big data storage platform for storage.
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