CN110084060B - Complex information system collaborative data extraction method - Google Patents
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Abstract
A method for extracting collaborative data of a complex information system is applied to the complex information system, the complex information system comprises an application terminal, a data extraction database, a first memory and at least one second memory, and the method comprises the following steps: generating a first extraction request and a second extraction request according to data extraction information input by a user; extracting first target data from a data extraction database according to a first extraction request; judging whether the mobile network or the wireless network is connected, automatically connecting to the wireless network or the mobile network according to a second extraction request, and extracting second target data from the corresponding first storage and/or the corresponding at least one second storage according to the second extraction request; and outputting the first target data and the second target data according to a preset rule. The invention can enable a user to quickly and accurately extract data in different storage environments.
Description
Technical Field
The invention relates to the technical field of data extraction, in particular to a method for extracting collaborative data of a complex information system.
Background
When data extraction is performed through a user side, the user usually needs to manually connect to a wireless network or a mobile network, and the operation is troublesome and time-consuming. When a user moves to a radiation area of the connectable wireless network which can be accessed to the internet, the user side is still occupied by the public wireless network which can not be accessed to the internet, the data can not be extracted, the connectable wireless network which can be accessed to the internet needs to be manually reconnected, and the operation is troublesome and takes longer time.
Meanwhile, the user may perform similar data extraction at different time points, and each time wireless network or mobile network connection is performed, which is time-consuming and traffic-consuming. Users face great difficulties in quickly and accurately extracting data in different storage environments.
Disclosure of Invention
Aiming at the problems in the introduction of the background technology, the invention provides a method for extracting the collaborative data of the complex information system, which can solve the technical problem that the data cannot be timely and accurately extracted when a user moves in the prior art.
The invention provides a method for extracting collaborative data of a complex information system, which is applied to the complex information system, wherein the complex information system comprises a mobile terminal, a data extraction database, a first memory and at least one second memory, and the method comprises the following steps:
generating a first extraction request and a second extraction request according to data extraction information input by a user;
extracting first target data from a data extraction database according to the first extraction request;
judging whether the mobile network or the wireless network is connected, if so, automatically connecting to the wireless network or the mobile network according to the second extraction request and a preset connection rule, and extracting the second target data from the corresponding first storage and/or the corresponding at least one second storage according to the second extraction request;
and outputting the first target data and the second target data according to a preset rule.
Optionally, the method further includes: and storing and updating the data extraction database by the data extraction information input by the user in the historical period and the extracted first target data and second target data.
Optionally, the step of generating the first extraction request and the second extraction request according to the data extraction information input by the user includes:
judging whether the data extraction information is single-time input information or not, judging that the data extraction information is single-time input information when a user inputs complete data extraction information once, and calculating the single-time similarity between the data extraction information and the data extraction information input in the historical period;
the step of extracting the first target data from the data extraction database includes: if the single similarity is higher than the preset single similarity, extracting the first target data from the data extraction database according to a first extraction request generated by the data extraction information;
if the single similarity is lower than the preset single similarity, dividing the data extraction information into the same extraction information and different extraction information;
extracting the first target data according to the first extraction request generated by the same extraction information;
the step of extracting the second target data from the corresponding first storage and/or the corresponding at least one second storage according to the second extraction request includes: extracting the second target data according to the second extraction request generated by the different extraction information;
the same extraction information is the same part of the data extraction information as the data extraction information input in the historical period, and the different extraction information is the different part of the data extraction information from the data extraction information input in the historical period.
Optionally, the step of generating the first extraction request and the second extraction request according to the data extraction information input by the user further includes:
when a user successively inputs information in the data extraction information within preset time, judging the data extraction information as successive input information, and calculating and updating the real-time similarity between the information in the successively input data extraction information and the data extraction information input within the historical period in real time;
when the user inputs complete data extraction information, if the real-time similarity is higher than the preset successive similarity, the data extraction information is divided into the same extraction information and different extraction information;
the step of extracting the first target data from the data extraction database includes: extracting the first target data according to a first extraction request generated by the same extraction information;
the step of extracting the second target data from the corresponding first storage and/or the corresponding at least one second storage according to the second extraction request includes: extracting the second target data according to a second extraction request generated by the different extraction information;
and if the real-time similarity is lower than the preset successive similarity, extracting the second target data according to a second extraction request generated by the data extraction information.
Optionally, the step of automatically connecting to the wireless network or the mobile network according to the second extraction request includes:
judging whether the connectable wireless network exists or not;
if the connectable wireless networks exist, determining the number of the connectable wireless networks, acquiring connection parameters of the connectable wireless networks and the mobile network, and setting and updating the connection priorities of the connectable wireless networks and the mobile network in real time according to the connection parameters and a preset priority rule;
judging whether the connection priority of the connectable wireless network is higher than that of the mobile network;
if the connection priority of the connectable wireless network is higher than or equal to that of the mobile network, automatically connecting the connectable wireless network with the highest connection priority;
if the connectable wireless network does not exist or the connection priority of the connectable wireless network is lower than that of the mobile network, judging whether the use flow of the mobile network exceeds a preset flow value or not;
inquiring whether the user uses the mobile network when the using flow exceeds the preset flow value, and automatically connecting the mobile network when the user selects to use the mobile network, and judging whether the using flow of the mobile network exceeds the preset flow value again; when the user selects not to use the mobile network, whether a connectable wireless network exists is judged again;
wherein the connection parameter includes at least one of a data transmission rate, a transmission peak rate, a requested connection duration, a signal quality, and a transmission stability rate.
Optionally, the step of automatically connecting to the wireless network or the mobile network according to the second extraction request further includes: disconnecting a data transmission rate of a wireless network, and setting the wireless network with the data transmission rate lower than a transmission threshold as a useless wireless network.
Optionally, the step of automatically connecting to the connectable wireless network or the mobile network according to the second extraction request further includes:
determining whether the connectable wireless network and the mobile network have been connected simultaneously; if so, judging whether the connection priority of the connectable wireless network is higher than that of the mobile network;
if the connection priority of the connectable wireless network is higher than or equal to that of the mobile network, closing the mobile network, and switching the current connectable wireless network into the connectable wireless network with the highest connection priority; otherwise, the connectable wireless network is closed, the mobile network is reserved, and whether the usage flow of the mobile network exceeds the preset flow value is judged.
Optionally, the step of extracting the second target data from the corresponding first storage and/or the corresponding at least one second storage according to the second extraction request includes:
determining the corresponding first memory according to the condition information corresponding to the second target data in the second extraction request;
extracting index information corresponding to the second target data from the determined first memory;
extracting the second target data from the corresponding first memory and/or the corresponding at least one second memory according to the index information;
wherein the condition information includes: one or more of a data type characteristic, a time characteristic, and a location characteristic.
Optionally, the step of extracting the second target data from the corresponding first storage and/or the corresponding at least one second storage according to the data index information includes:
judging whether the second target data is migrated or not according to the data index information;
if the second target data are migrated, determining at least one corresponding second storage according to the index information, and judging whether the second target data are completely migrated from the first storage to the at least one second storage, if so, extracting the second target data from the at least one second storage; if not, extracting the second target data from the first memory and at least one second memory;
and if the second target data is not migrated, extracting the second target data from the first memory.
Optionally, the step of outputting the first target data and the second target data according to a preset rule includes:
when the wireless network or the mobile network is not connected or the wireless network is not connected, only the first target data is output on an output interface;
when the wireless network or the mobile network is connected, the output interface is updated, the second target data is arranged and output to the front of the first target data, or the first target data is updated to the second target data.
Compared with the prior art, the method for extracting the collaborative data of the complex information system has the advantages that: on the first hand, when the user terminal can not connect with the connectable network or the mobile network, the first target data can be extracted from the data extraction database according to the first extraction request generated by the data extraction information input by the user, and the user can quickly extract the data; in the second aspect, a second extraction request is generated according to data extraction information input by a user, a connectable wireless network or a mobile network is directly and automatically connected according to the second extraction request, and data extraction is convenient and quick, namely, the wireless network or the mobile network does not need to be manually connected before surfing the Internet; in the third aspect, the connection priority of the connectable wireless network and the connection priority of the mobile network are updated in real time and compared according to the connection parameters and the priority preset rule setting, so that the connectable wireless network or the mobile network with the highest connection priority is switched, the smoothness of data extraction when a user extracts data, namely surfs the internet is guaranteed, and the user experience is improved; judging whether the using flow of the mobile network exceeds a preset flow value or not, and if so, stopping the mobile network, thereby avoiding generating extra flow and reducing the telephone charge expense of a user; in the fifth aspect, a connectable wireless network with a data transmission rate lower than a transmission threshold is set as a useless connectable wireless network, and the transmission threshold is usually 0, so that the situation that a user is connected to the useless connectable wireless network again when extracting data and cannot extract the data can be avoided; in the sixth aspect, whether the wireless network and the mobile network are connected at the same time is judged, and the wireless network or the mobile network is closed, so that the situation that the user sends a second extraction request to generate conflict when extracting data, and the data cannot be extracted is avoided; in a seventh aspect, the corresponding first memory is determined according to the condition information in the second data extraction request, then the storage location of the second target data is determined according to the index information extracted from the first memory, the second target data is extracted from the first memory and/or at least one second memory, and finally the second target data is sent to the mobile terminal.
Drawings
Fig. 1 is a schematic flow chart of an embodiment of a method for extracting collaborative data of a complex information system according to the present invention.
Fig. 2 is a flowchart of a method for extracting collaborative data of a complex information system according to the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying 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, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention, belong to the protection scope of the present invention.
Referring to fig. 1 and 2, the present invention provides a collaborative data extraction method for a complex information system, which is applied to the complex information system, the complex information system includes a user side, a data extraction database, a first memory and at least one second memory, and the method includes:
s100, generating a first extraction request and a second extraction request according to data extraction information input by a user.
S200, extracting first target data from the data extraction database according to the first extraction request.
And S300, connecting a network, and extracting second target data from the corresponding first storage and/or the corresponding at least one second storage according to the second extraction request.
The user side includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a mobile handheld device, and other network-enabled devices.
Networks including, but not limited to, WiFi, GSM, CDMA, TDMA, bluetooth, LTE, etc. networks.
The data extraction database can be a local database of the user side and is stored in a local memory; the system also comprises a local database and a cloud database, wherein the local database is stored in the local of the mobile terminal, and the cloud database is stored in the third memory. The data extraction database stores data extraction information input during a user's historical period and corresponding extracted first target data and second target data.
The first memory and the second memory can be ordinary memories or cloud memories. Target data of the user is stored.
The user can complete data extraction information input once, can identify according to a preset input ending condition, and can adopt a single input mode or a successive input mode in the complete input process of the user once. The single input mode is as follows: a segment of text, a symbol, a picture, a segment of video. The successive input method is as follows: a set of words, symbols, pictures, video, etc. The input end conditions are as follows: one or a set of designated symbol entries, designated operations, etc.
An embodiment 1, a method for extracting collaborative data of a complex information system includes:
the method comprises the steps that data extraction information input by a user is calculated, the similarity between the data extraction information and data extraction information input in a historical period is calculated, and if the similarity is higher than a preset similarity, first target data are extracted from a data extraction database according to a first extraction request generated by the data extraction information; at this point, it can be considered that the first target data has satisfied the user data extraction requirement.
If the similarity is lower than the preset similarity, the data extraction information is divided into the same extraction information and different extraction information, first target data is extracted according to a first extraction request generated by the same extraction information, the first target data is connected with a network, and second target data is extracted from a corresponding first storage and/or at least one corresponding second storage according to a second extraction request generated by the different extraction information.
An embodiment 2, a method for extracting collaborative data of a complex information system includes:
the method comprises the steps that data extraction information input by a user is judged, whether the data extraction information is single-time input information or not is judged, the single-time similarity between the data extraction information and the data extraction information input in a historical period is calculated, and if the single-time similarity is higher than the preset single-time similarity, first target data are extracted from a data extraction database according to a first extraction request generated by the data extraction information; if the single similarity is lower than the preset single similarity, the data extraction information is divided into the same extraction information and different extraction information, first target data is extracted according to a first extraction request generated by the same extraction information, the network is connected, and second target data is extracted from a corresponding first storage and/or at least one corresponding second storage according to a second extraction request generated by the different extraction information.
In an embodiment 3, the method for extracting collaborative data of a complex information system includes:
when a user inputs data extraction information successively within preset time, judging whether the data extraction information is the successively input information, and calculating and updating the real-time similarity between the information in the successively input data extraction information and the data extraction information input within a historical period in real time. And if the real-time similarity is higher than the preset successive similarity, dividing the data extraction information into the same extraction information and different extraction information, extracting the first target data according to a first extraction request generated by the same extraction information, connecting the network, and extracting the second target data from the corresponding first storage and/or the corresponding at least one second storage according to a second extraction request generated by the different extraction information. And if the real-time similarity is lower than the preset successive similarity, connecting the network, and extracting second target data from the corresponding first storage and/or the corresponding at least one second storage according to a second extraction request generated by different extraction information. At this time, it can be considered that the first storage has no data satisfying the user data extraction requirement, and the second target data satisfies the user data extraction requirement.
An embodiment 4, a specific method of connecting a network:
it is determined whether a connectable wireless network exists.
And if the connectable wireless networks exist, determining the number of the connectable wireless networks, acquiring the connection parameters of the connectable wireless networks and the mobile networks, and setting and updating the connection priorities of the connectable wireless networks and the mobile networks in real time according to the connection parameters and preset rules.
It is determined whether the connection priority of the connectable wireless network is higher than the connection priority of the mobile network.
And if the connection priority of the connectable wireless network is higher than or equal to that of the mobile network, automatically connecting the connectable wireless network with the highest connection priority.
And if no wireless network can be connected or the connection priority of the wireless network can be connected is lower than that of the mobile network, judging whether the monthly flow of the mobile network exceeds the preset monthly flow.
And when the current monthly flow exceeds the preset monthly flow, displaying a prompt box for judging whether to use the mobile network to the user, and when the user selects to use the mobile network, automatically connecting the mobile network and judging whether the current monthly flow of the mobile network exceeds the preset monthly flow again. And when the user selects not to use the mobile network, whether the wireless network is available is judged again.
Wherein the connection parameter includes at least one of a data transmission rate, a transmission peak rate, a requested connection duration, a signal quality, and a transmission stability rate.
An embodiment 5, a specific method of connecting a network: judging the data transmission rate of the connectable wireless network, setting the connectable wireless network with the data transmission rate lower than a transmission threshold value as a useless connectable wireless network, setting the connectable wireless network with the data transmission rate not lower than the transmission threshold value as a preselected connectable wireless network, identifying the priority of the preselected connectable wireless network according to a preset priority rule, and selecting the connectable wireless network with the highest priority for connection.
Embodiment 6, a specific method of connecting a network: it is determined whether a connection has been made to both the connectable wireless network and the mobile network. If yes, judging whether the connection priority of the connectable wireless network is higher than that of the mobile network. If the connection priority of the connectable wireless network is higher than or equal to that of the mobile network, the mobile network is closed, and the current connectable wireless network is switched to the connectable wireless network with the highest connection priority. Otherwise, the connectable wireless network is closed, the mobile network is reserved, and whether the current month flow of the mobile network exceeds the preset month flow is judged.
In an embodiment 7, the second target data is extracted from the corresponding first storage and/or the corresponding at least one second storage according to the second extraction request, and the specific method includes:
and determining the corresponding first memory according to the condition information corresponding to the second target data in the second extraction request. Wherein the condition information includes: one or more of a data type characteristic, a time characteristic, and a location characteristic.
Index information corresponding to the second target data is extracted from the determined first memory.
And extracting the second target data from the corresponding first memory and/or the corresponding at least one second memory according to the index information.
In an embodiment 8, the second target data is extracted from the corresponding first storage and/or the corresponding at least one second storage according to the second extraction request, and the specific method includes:
and determining the corresponding first memory according to the condition information corresponding to the second target data in the second extraction request.
Index information corresponding to the second target data is extracted from the determined first memory.
And judging whether the second target data is migrated or not according to the corresponding data index information.
And if the second target data are migrated, determining the corresponding at least one second memory according to the index information, judging whether the second target data are completely migrated from the first memory to the at least one second memory, and if so, extracting the second target data from the at least one second memory. If not, second target data is extracted from the first memory and the at least one second memory. And if the second target data is not migrated, extracting the second target data from the first memory.
In an embodiment 9, a method for extracting collaborative data of a complex information system includes
S100, generating a first extraction request and a second extraction request according to data extraction information input by a user.
S200, extracting first target data from the data extraction database according to the first extraction request.
And S300, connecting a network, and extracting second target data from the corresponding first storage and/or the corresponding at least one second storage according to the second extraction request.
And S400, outputting the first target data and the second target data according to a preset rule. The method specifically comprises the following steps:
when the wireless network or the mobile network is not connected or the wireless network is not connected, only the first target data is output on the output interface.
When the mobile network is connected to the connectable wireless network or the mobile network, the output interface is updated, the second target data is arranged and output to the front of the first target data, or the first target data is updated to the second target data.
In an embodiment 10, a method for extracting collaborative data of a complex information system includes
S100, generating a first extraction request and a second extraction request according to data extraction information input by a user.
S200, extracting first target data from the data extraction database according to the first extraction request.
And S300, connecting a network, and extracting second target data from the corresponding first storage and/or the corresponding at least one second storage according to the second extraction request.
S400, storing the data extraction information and the corresponding first target data and second target data into a data extraction database.
In the above embodiments, the description of each embodiment has its own emphasis, and for parts not described in detail in a certain embodiment, reference may be made to the description of other embodiments. In the above description of the method for extracting collaborative data of a complex information system provided by the present invention, for a person skilled in the art, there may be a change in the specific implementation and application scope according to the idea of the implementation of the present invention, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (8)
1. A method for extracting collaborative data of a complex information system is applied to the complex information system, and is characterized in that the complex information system comprises a user side, a data extraction database, a first memory and at least one second memory, and the method comprises the following steps:
generating a first extraction request and a second extraction request according to data extraction information input by a user;
extracting first target data from a data extraction database according to the first extraction request;
judging whether the mobile network is connected to a connectable wireless network or a mobile network, if so, automatically connecting to the connectable wireless network or the mobile network according to the second extraction request and a preset connection rule, and extracting second target data from the corresponding first memory and/or at least one corresponding second memory according to the second extraction request;
outputting the first target data and the second target data according to a preset rule; storing and updating the data extraction database by using data extraction information input by a user in a historical period and the extracted first target data and second target data; the step of generating a first extraction request and a second extraction request according to data extraction information input by a user includes:
judging whether the data extraction information is single-time input information or not, judging that the data extraction information is single-time input information when a user inputs complete data extraction information once, and calculating the single-time similarity between the data extraction information and the data extraction information input in the historical period;
the step of extracting the first target data from the data extraction database includes: if the single similarity is higher than the preset single similarity, extracting the first target data from the data extraction database according to a first extraction request generated by the data extraction information;
if the single similarity is lower than the preset single similarity, dividing the data extraction information into the same extraction information and different extraction information;
extracting the first target data according to the first extraction request generated by the same extraction information;
the step of extracting the second target data from the corresponding first storage and/or the corresponding at least one second storage according to the second extraction request includes: extracting the second target data according to the second extraction request generated by the different extraction information;
the same extraction information is the same part of the data extraction information as the data extraction information input in the historical period, and the different extraction information is the different part of the data extraction information from the data extraction information input in the historical period.
2. The method of claim 1, wherein the step of generating a first extraction request and a second extraction request based on the data extraction information input by the user further comprises:
when a user successively inputs information in the data extraction information within preset time, judging the data extraction information as successive input information, and calculating and updating the real-time similarity between the information in the successively input data extraction information and the data extraction information input within the historical period in real time;
when a user inputs complete data extraction information, if the real-time similarity is higher than a preset successive similarity, the data extraction information is divided into the same extraction information and different extraction information;
the step of extracting the first target data from the data extraction database includes: extracting the first target data according to a first extraction request generated by the same extraction information;
the step of extracting the second target data from the corresponding first storage and/or the corresponding at least one second storage according to the second extraction request includes: extracting the second target data according to a second extraction request generated by the different extraction information;
and if the real-time similarity is lower than the preset successive similarity, extracting the second target data according to a second extraction request generated by the data extraction information.
3. The method according to claim 1, wherein the step of automatically connecting to a wireless network or a mobile network according to the second extraction request and a preset connection rule comprises:
judging whether the connectable wireless network exists or not;
if the connectable wireless networks exist, determining the number of the connectable wireless networks, acquiring connection parameters of the connectable wireless networks and the mobile network, and setting and updating the connection priorities of the connectable wireless networks and the mobile network in real time according to the connection parameters and a preset priority rule;
judging whether the connection priority of the connectable wireless network is higher than that of the mobile network;
if the connection priority of the connectable wireless network is higher than or equal to that of the mobile network, automatically connecting the connectable wireless network with the highest connection priority;
if the connectable wireless network does not exist or the connection priority of the connectable wireless network is lower than that of the mobile network, judging whether the use flow of the mobile network exceeds a preset flow value or not;
inquiring whether the user uses the mobile network when the using flow exceeds the preset flow value, and automatically connecting the mobile network when the user selects to use the mobile network, and judging whether the using flow of the mobile network exceeds the preset flow value again; when the user selects not to use the mobile network, whether a connectable wireless network exists is judged again;
wherein the connection parameter includes at least one of a data transmission rate, a transmission peak rate, a requested connection duration, a signal quality, and a transmission stability rate.
4. The method according to claim 1 or 3, wherein the step of automatically connecting to a wireless network or a mobile network according to the second extraction request further comprises: and judging the data transmission rate of the connectable wireless network, and setting the connectable wireless network with the data transmission rate lower than a transmission threshold value as a useless connectable wireless network.
5. The method of claim 1, wherein the step of automatically connecting to a connectable wireless network or a mobile network according to the second extraction request further comprises:
determining whether the connectable wireless network and the mobile network have been connected simultaneously; if so, judging whether the connection priority of the connectable wireless network is higher than that of the mobile network;
if the connection priority of the connectable wireless network is higher than or equal to that of the mobile network, closing the mobile network, and switching the current connectable wireless network into the connectable wireless network with the highest connection priority; otherwise, the connectable wireless network is closed, the mobile network is reserved, and whether the use flow of the mobile network exceeds a preset flow value is judged.
6. The method according to claim 1, wherein the step of extracting the second target data from the corresponding first storage and/or the corresponding at least one second storage according to the second extraction request comprises:
determining the corresponding first memory according to the condition information corresponding to the second target data in the second extraction request;
extracting index information corresponding to the second target data from the determined first memory;
extracting the second target data from the corresponding first memory and/or the corresponding at least one second memory according to the index information;
wherein the condition information includes: one or more of a data type characteristic, a time characteristic, and a location characteristic.
7. The method according to claim 6, wherein the step of extracting the second target data from the corresponding first storage and/or the corresponding at least one second storage according to the index information comprises:
judging whether the second target data is migrated or not according to the index information;
if the second target data are migrated, determining at least one corresponding second storage according to the index information, and judging whether the second target data are completely migrated from the first storage to the at least one second storage, if so, extracting the second target data from the at least one second storage; if not, extracting the second target data from the first memory and at least one second memory;
and if the second target data is not migrated, extracting the second target data from the first memory.
8. The method of claim 1, wherein the step of outputting the first target data and the second target data according to a preset rule comprises:
when the wireless network or the mobile network is not connected or the wireless network is not connected, only the first target data is output on an output interface;
when the wireless network or the mobile network is connected, the output interface is updated, the second target data is arranged and output to the front of the first target data, or the first target data is updated to the second target data.
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