CN107609148B - Data flow collaboration system under weak network condition - Google Patents
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Abstract
The invention provides a data flow collaboration system under weak network conditions, which comprises: the system comprises a plurality of sending ends, a plurality of receiving ends and a cloud storage, wherein an acquisition unit of each sending end acquires an operation instruction of a processing unit and operation data corresponding to the operation instruction to a database; the conversion unit converts the operation instruction and data corresponding to the operation instruction into serialized data to be sent, and transmits the serialized data to the sending end pushing unit, wherein the pushing unit is used for receiving the serialized data to be sent and pushing the serialized data to be sent to the cloud storage in a timed and cyclic manner; the cloud storage receives the serialized data and stores the serialized data; the receiving end extraction unit extracts the serialized data from the cloud storage at regular time and judges whether the serialized data is damaged or not according to the digital fingerprint value; the analyzing unit analyzes the serialized data and stores the serialized data in a database. The invention realizes that the data cooperation is completed by bypassing the weak network barrier under the condition of poor network condition, and solves the problem of weak network information isolated island.
Description
Technical Field
The invention relates to the field of ship data, in particular to a data flow coordination system under the condition of a weak network.
Background
With the development of network technology, the application of networks in various industries is more and more extensive. At present, within the city range, the network condition can be well competent for interconnection and intercommunication among information systems. However, in special working environments such as shipping and marine, oil drilling, weak net limits are also prevalent, namely: the network speed does not reach the standard for a long time due to the fact that the network is intermittent. Due to the weak network limitation, reliable data cooperation cannot be performed between the sending end and the receiving end of the information system distributed under the weak network condition.
Disclosure of Invention
The invention provides a data flow collaboration system under weak network conditions, which aims to overcome the technical problems.
The invention relates to a data flow cooperative system under weak network condition, comprising:
the system comprises a plurality of sending ends, a plurality of receiving ends and a cloud storage, wherein each sending end comprises a sending end processing unit, a sending end acquisition unit, a sending end conversion unit, a sending end pushing unit and a sending end database, and each receiving end comprises a receiving end extraction unit, a receiving end analysis unit, a receiving end execution unit and a receiving end database;
the transmitting terminal acquisition unit is used for acquiring the operation instruction of the transmitting terminal processing unit and the operation data corresponding to the operation instruction to the transmitting terminal database;
the sending end conversion unit is used for converting the operation instruction and the data corresponding to the operation instruction into serialized data to be pushed, and sending the serialized data to be pushed to the sending end pushing unit, wherein the serialized data comprises: the method comprises the following steps of (1) operating an instruction, operating data corresponding to the operating instruction and a digital fingerprint value;
the sending end pushing unit is used for grouping the to-be-pushed serialized data sent by the sending end conversion unit into N file particles according to network indexes to generate a packing list file, the packing list file comprises digital fingerprint information of the N file particles and configuration information for reversely grouping and restoring the N file particles, the N file particles and the packing list file are periodically and circularly pushed to the cloud storage, and the state of the to-be-pushed serialized data is set to be sent;
the cloud storage is used for receiving and storing the serialized data sent by the sending end pushing unit;
the receiving end extracting unit is used for extracting the serialized data from the cloud storage at regular time, sequentially downloading the N files according to the boxing single file and checking whether the N files are completely downloaded or not, and if yes, merging and restoring the N files;
the receiving end analysis unit is used for analyzing the serialized data and storing the analyzed operation instruction and the operation data corresponding to the operation instruction to the receiving end database;
the receiving end execution unit is used for acquiring the operation instruction and the operation data from a receiving end database, completing the cooperation with the sending end according to the operation instruction and the operation data, and setting the operation instruction and the operation data into a processed state.
Further, still include:
a sending end state ensuring unit and a receiving end state ensuring unit;
the receiving end state ensuring unit is used for detecting whether a corresponding cloud file of the processed state data of the local database exists in the cloud storage, if so, deleting the cloud file, and modifying the data state of the corresponding processed state data of the local database into a finished state;
the sending end state ensuring unit is used for detecting whether a cloud file corresponding to the sent state data of the local database in the files in the cloud storage exists or not, and if not, modifying the sent state data of the local database into a synchronized state.
Further, the transmitting-end converting unit is specifically configured to:
packaging an operation instruction of a sending end and operation data corresponding to the operation instruction into a long character string, and encrypting the character string;
compressing the encrypted character string to form a compressed packet, and generating a digital fingerprint value corresponding to the compressed packet;
transmitting the compressed packet to a pushing unit, and marking the corresponding database record state of the compressed packet as unsent;
the execution unit at the receiving end is further specifically configured to:
and acquiring a compressed packet from the cloud, decompressing, decrypting and decapsulating the compressed packet into an original operation instruction and the operation data.
Further, still include:
and the abnormity detection unit is used for receiving the abnormal operation information of the sending end processing unit, the sending end acquisition unit, the sending end conversion unit, the sending end pushing unit, the sending end state ensuring unit, the receiving end extraction unit, the receiving end analysis unit, the receiving end execution unit and the receiving end state ensuring unit which are captured by the operating system, and repairing the abnormal operation information according to a repairing scheme.
Further, still include:
the receiving end time sequence guaranteeing unit is used for acquiring the time sequence data generated in the process of acquiring the operation instruction and the operation data of the transmitting end processing unit according to the transmitting end acquisition unit and adding the time sequence data to the operation data;
and the sending end time sequence guaranteeing unit is used for reading the time sequence data from a cloud end and analyzing the serialized data extracted from the cloud end according to the time sequence data.
The invention realizes the data synchronization between the sending end and the receiving end under the condition of weak network, can bypass the weak network barrier well under the condition of poor network condition, realizes the data cooperation between the sending end and the receiving end, and solves the problem of weak network information isolated island.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic diagram of a data flow coordination system under weak network conditions according to the present invention;
FIG. 2 is a diagram illustrating on-line statistics of the present invention;
FIG. 3 is a schematic diagram of network indicator analysis according to the present invention;
FIG. 4 is a timing diagram illustrating the cooperative processing of data streams according to the present invention;
FIG. 5 is a schematic diagram of the system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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.
Fig. 1 is a schematic structural diagram of a data flow coordination system under a weak network condition in the present invention, and as shown in fig. 1, the system of this embodiment may include:
a plurality of sending terminals 101, a plurality of receiving terminals 102, and a cloud storage 103, the sending terminals including: the receiving terminal 102 includes a receiving terminal extracting unit 109, a receiving terminal analyzing unit 110, a receiving terminal executing unit 111, and a receiving terminal database 112;
the sending end sending unit is used for sending the operation instruction of the sending end processing unit and the operation data corresponding to the operation instruction to the sending end database,
the transmitting end conversion unit is configured to convert the operation instruction and the data corresponding to the operation instruction into serialized data to be transmitted, and transmit the serialized data to be transmitted to the transmitting end push unit, where the serialized data includes: the method comprises the following steps of (1) operating an instruction, operating data corresponding to the operating instruction and a digital fingerprint value;
the sending end pushing unit is used for grouping the serialized data to be pushed sent by the sending end conversion unit into N file particles according to network indexes, circularly pushing the file particles to the cloud storage at regular time, and setting the state of the serialized data to be sent as sent;
the cloud storage receives the serialized data sent by the sending end pushing unit and stores the serialized data;
the receiving end extracting unit is used for extracting the serialized data from the cloud storage at regular time, sequentially downloading the N files according to the boxing single file and checking whether the N files are completely downloaded or not, and if yes, merging and restoring the N files;
the receiving end analysis unit is used for analyzing the serialized data and storing the analyzed operation instruction and the operation data corresponding to the operation instruction to the receiving end database;
the receiving end execution unit is used for acquiring the operation instruction and the operation data from a receiving end database, completing the cooperation with the sending end according to the operation instruction and the operation data, and setting the operation instruction and the operation data into a processed state.
Specifically, the sending end and the receiving end of the system can be information transmission systems under other weak net conditions such as ships, oil drilling platforms, mining in mountainous areas and the like. The present embodiment is described by taking a ship going out of the sea as an example. As shown in fig. 5, the ship may be a transmitting end, and may also be a receiving end.
Due to the limitation of offshore network conditions, an information system in the offshore ship industry generally has the problem of weak network information island, and the weak network information island means that an information system running on a ship cannot timely perform data interaction with an onshore information system, so that data are isolated and exist in information systems on two sides before the ship is onshore or a stable network exists on the sea, and the value of data information can be seriously reduced due to the weak network information island phenomenon.
The sending unit at one side of the sending end sends the operation instruction and the operation data corresponding to the operation instruction to the local database, the conversion unit packages the operation instruction and the operation data corresponding to the operation instruction into a long character string in a general Json format, DES encryption is carried out on the character string, Zip compression is carried out, a compression packet is generated, and meanwhile, a digital fingerprint value of the compression packet is generated and used for verification in the process of decrypting the compression packet by the receiving end. And storing the compressed packet, the digital fingerprint and the generation time of the operation instruction recorded by the sending end as well as the field of the operation type recorded in the database table. The pushing unit acquires all unsent state records in a database table of the database to form a traversable memory list, traverses the memory list and executes pushing operation on each record. The push procedure is illustrated as follows:
1. DS _ TO field (i.e. target system ID) homonym folders ensuring records are established in the data _ sync/index directory and the data _ sync/data directory in the cloud storage.
2. And converting the other record contents except the compressed ZIPBLOB contents in the record into Json files, pushing the Json files to data _ sync/index/[ target system ID ] files, and naming the UUIDs of the records.
3. And pushing the recorded operation instruction and the compressed packet ZIPBLOB content of the data corresponding to the operation instruction to a data _ sync/data/[ target system ID ] file in the form of a memory file, and naming the UUID as the record.
4. Judging whether the pushing process has errors or not, wherein the basis for judging whether the pushing process has the errors is as follows: MD5 returned after pushing without any exception verifies that the value is consistent with that before uploading. If the record is wrong, the unsent state of the record is kept unchanged. And if no error exists, setting the recording state of the corresponding IM _ DS _ P table as sent.
The pushing unit groups the serialized data to be pushed into N file particles according to a current network index, wherein the network index is a time factor consumed by one-time heartbeat communication between a sending end or a receiving end and a central server. The larger the time factor, the worse the current network is proven. If the time factor is a negative value, the current network is over time and disconnected, and the receiving end or the sending end cannot communicate with the central server. And simultaneously generating a packing list file, wherein the packing list file comprises the digital fingerprint information of N file particles and the configuration information for reversely grouping and restoring the N file particles, and sending the N file particles and the packing list file to a cloud storage.
As shown in fig. 2, the dark areas in the figure are in a network state, and the light areas are in a current network state. As shown in fig. 3, the vertical axis represents the network index value, and the horizontal axis represents time. The current network situation can be analyzed through the network index value. The larger the network index value, the better the network state. At this time, the N value of the serialized constrained packet to be pushed is smaller than the network state difference. Therefore, the volume of each document particle is relatively large. The sending of each file particle is matched with the current network state, and the optimal transmission efficiency is achieved. The push unit has four parameters for transmitting the serialized data to be pushed each time: "network speed at uploading", "file size before slicing", "number of sliced file particles", and "time taken to upload all slices". Before a file is sliced by the pushing module, uploading process records closest to the current network speed and the file size are inquired from a T _ slicing algorithm according to a _ DATA table by using the parameters recorded before according to the current network speed and the size of the file to be sliced, and the 'number of sliced file particles' of DATA with the minimum value of 'time consumed for uploading all slices' is taken as the basic quantity of the current slicing. In order for the T _ slicing algorithm to record the sample as having self-growing property according to the _ DATA table, the algorithm adds the basic quantity to a plus or minus 15% random value as the number of the current slicing grain.
And after receiving the serialized data sent by the push unit of the sending end, the cloud storage stores the serialized data.
The receiving end extraction unit is connected with the cloud storage at regular time, traverses the storage address data _ sync/index/folder corresponding to the system ID of the receiving end extraction unit, and generates a traversable list of all file items under the folder. For each file item, a pull operation is performed.
The process of parsing serialized data by the parsing unit is illustrated as follows:
1. ZIP decompression is carried out on the compressed package ZIPBLOB content in each record, and DES decryption is carried out at the same time.
2. And performing Json inverse analysis on the decrypted text to generate an operation + data memory object.
3. In the abnormal capture context (try-catch) of the operating system, memory execution is carried out on the operation + data object, and the data is stored in a database. And if the execution is abnormal, rolling back the storage disk, and keeping the unprocessed state of the corresponding record of the IM _ DS _ C table unchanged. If the execution has no exception, the recording state of the corresponding IM _ DS _ C table is set to be processed.
As shown in fig. 4, the data changes state during the flow from the transmitting end to the receiving end. The 3 states of the transmitting end are respectively unsent, transmitted and synchronized. The three states of the receiving end are respectively unprocessed, processed and completed.
Further, still include:
a sending end state ensuring unit and a receiving end state ensuring unit;
the receiving end state ensuring unit is used for detecting whether a corresponding cloud file of the processed state data of the local database exists in the cloud storage, if so, deleting the cloud file, and modifying the data state of the corresponding processed state data of the local database into a finished state;
the sending end state ensuring unit is used for detecting whether a cloud file corresponding to the sent state data of the local database in the files in the cloud storage exists or not, and if not, modifying the sent state data of the local database into a synchronized state.
Specifically, the data transmitted between the sending end and the receiving end under the weak network condition is lost, and therefore, the state assurance unit of the receiving end ensures the operation process for each recorded state as follows:
and judging whether a data _ sync/data/[ target system ID ]/record UUID file of the cloud post exists or not. If the IM _ DS _ C table does not exist, the corresponding record of the IM _ DS _ C table of the other side system is proved to be completed, and the record state of the corresponding IM _ DS _ P table is set to be synchronized. If the IM _ DS _ P table exists, the recording state of the IM _ DS _ P table is kept unchanged after the system on the other side is proved not to be completely synchronized. Here, if the IM _ DS _ P table records become synchronized, it proves that a data synchronization from the source system to the target system in this example is completed in a cooperative closed loop.
The state ensuring unit of the sending end ensures the operation process of each record as follows:
1. and deleting the data _ sync/index/[ own system ID ]/recording UUID of the cloud storage.
2. And deleting the data _ sync/data/[ own system ID ]/recording UUID of the cloud storage.
3. After deletion, whether two records, namely data _ sync/index/[ own system ID ]/record UUID and data _ sync/data/[ own system ID ]/record UUID, do not exist in the cloud. If the record does not exist, the deletion is proved to be successful, and the processing of the record corresponding to the IM _ DS _ C table is changed into completion. If the verification deletion error exists, the recording state of the IM _ DS _ C table is kept unchanged.
Further, the transmitting-end converting unit is specifically configured to:
packaging an operation instruction of a sending end and operation data corresponding to the operation instruction into a long character string, and encrypting the character string;
compressing the encrypted character string to form a compressed packet, and generating a digital fingerprint value corresponding to the compressed packet;
transmitting the compressed packet to a pushing unit, and marking the corresponding database record state of the compressed packet as unsent;
the execution unit at the receiving end is further specifically configured to:
and acquiring a compressed packet from the cloud, decompressing, decrypting and decapsulating the compressed packet into an original operation instruction and the operation data.
Specifically, in this embodiment, the sending-end conversion unit encapsulates the operation execution of the sending end and the operation data corresponding to the operation instruction into a long character string, and encrypts and compresses the character string. A digital fingerprint value is generated corresponding to the compressed packet. The compressed packet is sent to a push unit.
Further, still include:
and the abnormity detection unit is used for receiving the abnormal operation information of the sending end processing unit, the sending end acquisition unit, the sending end conversion unit, the sending end pushing unit, the sending end state ensuring unit, the receiving end extraction unit, the receiving end analysis unit, the receiving end execution unit and the receiving end state ensuring unit which are captured by the operating system, and repairing the abnormal operation information according to a repairing scheme.
Specifically, the anomaly detection unit monitors the running logs of other units globally, scans the latest log row in real time, and when the logs of the ERROR level are detected, searches for a repair scheme corresponding to an ERROR code according to the ERROR code in the log row, for example, when a database primary key conflict code occurs, automatically changes a newly added operator into an update operator. The problem that repeated handshake exists between data sent to a cloud storage end by a sending end under a weak network condition is solved, the sending end sends the same operation instruction and operation data corresponding to the operation instruction, and the receiving end receives two newly-added operation instructions.
Further, still include:
the receiving end time sequence guaranteeing unit is used for acquiring the time sequence data generated in the process of acquiring the operation instruction and the operation data of the transmitting end processing unit according to the transmitting end acquisition unit and adding the time sequence data to the operation data;
and the sending end time sequence guaranteeing unit is used for reading the time sequence data from a cloud end and analyzing the serialized data extracted from the cloud end according to the time sequence data.
Specifically, the timing guarantee unit of this embodiment receives the timing data generated by the transmitting unit at the transmitting end. The receiving end analyzes the serialized data according to the time sequence. The time sequence among a plurality of functions of the sending end is parallel, and the functions are not influenced. For example: the time sequence processing between the two functions of equipment maintenance information and crew working hour statistical information of the ship is parallel.
In the system, the sending end and the receiving end are divided into a plurality of units which work independently, and each unit does not need to redo the work content of the corresponding work content after finishing the work content. The whole data cooperation process is unitized, the content completed in the data transmission process can be reserved, repeated work is avoided, and the method has continuity. The success rate of data collaboration under the weak network is improved.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (4)
1. A data flow collaboration system under weak network conditions, comprising:
the system comprises a plurality of sending ends, a plurality of receiving ends and a cloud storage, wherein each sending end comprises a sending end processing unit, a sending end acquisition unit, a sending end conversion unit, a sending end pushing unit and a sending end database, and each receiving end comprises a receiving end extraction unit, a receiving end analysis unit, a receiving end execution unit and a receiving end database;
the transmitting terminal acquisition unit is used for acquiring the operation instruction of the transmitting terminal processing unit and the operation data corresponding to the operation instruction to the transmitting terminal database;
the sending end conversion unit is used for converting the operation instruction and the data corresponding to the operation instruction into serialized data to be pushed, and sending the serialized data to be pushed to the sending end pushing unit, wherein the serialized data comprises: the method comprises the following steps of (1) operating an instruction, operating data corresponding to the operating instruction and a digital fingerprint value;
the sending end pushing unit is used for grouping the to-be-pushed serialized data sent by the sending end conversion unit into N file particles according to network indexes to generate a packing list file, the packing list file comprises digital fingerprint information of the N file particles and configuration information for reversely grouping and restoring the N file particles, the N file particles and the packing list file are periodically and circularly pushed to the cloud storage, and the state of the to-be-pushed serialized data is set to be sent;
the pushing unit extracts an uploading process record closest to the current network speed and the file size according to the current network speed and the size of the file to be sliced, and takes the number of sliced file particles of data with the minimum time value consumed by uploading all slices as the basic quantity of the current slice;
the cloud storage is used for receiving and storing the serialized data sent by the sending end pushing unit;
the receiving end extracting unit is used for extracting the serialized data from the cloud storage at regular time, sequentially downloading the N files according to the boxing single file and checking whether the N files are completely downloaded or not, and if yes, merging and restoring the N files;
the receiving end analysis unit is used for analyzing the serialized data and storing the analyzed operation instruction and the operation data corresponding to the operation instruction to the receiving end database;
the receiving end execution unit is used for acquiring an operation instruction and operation data from a receiving end database, finishing the cooperation with the sending end according to the operation instruction and the operation data, and setting the operation instruction and the operation data into a processed state;
further comprising:
a sending end state ensuring unit and a receiving end state ensuring unit;
the receiving end state ensuring unit is used for detecting whether a corresponding cloud file of the processed state data of the local database exists in the cloud storage, if so, deleting the cloud file, and modifying the data state of the corresponding processed state data of the local database into a finished state;
the sending end state ensuring unit is used for detecting whether a cloud file corresponding to the sent state data of the local database in the files in the cloud storage exists or not, and if not, modifying the sent state data of the local database into a synchronized state.
2. The system according to claim 1, wherein the sender converting unit is specifically configured to:
packaging an operation instruction of a sending end and operation data corresponding to the operation instruction into a long character string, and encrypting the character string;
compressing the encrypted character string to form a compressed packet, and generating a digital fingerprint value corresponding to the compressed packet;
transmitting the compressed packet to a pushing unit, and marking the corresponding database record state of the compressed packet as unsent;
the execution unit at the receiving end is further specifically configured to:
and acquiring a compressed packet from the cloud, decompressing, decrypting and decapsulating the compressed packet into an original operation instruction and the operation data.
3. The system of claim 1, further comprising:
and the abnormity detection unit is used for receiving the abnormal operation information of the sending end processing unit, the sending end acquisition unit, the sending end conversion unit, the sending end pushing unit, the sending end state ensuring unit, the receiving end extraction unit, the receiving end analysis unit, the receiving end execution unit and the receiving end state ensuring unit which are captured by the operating system, and repairing the abnormal operation information according to a repairing scheme.
4. The system of claim 3, further comprising:
the receiving end time sequence guaranteeing unit is used for acquiring the time sequence data generated in the process of acquiring the operation instruction and the operation data of the transmitting end processing unit according to the transmitting end acquisition unit and adding the time sequence data to the operation data;
and the sending end time sequence guaranteeing unit is used for reading the time sequence data from a cloud end and analyzing the serialized data extracted from the cloud end according to the time sequence data.
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