Efficient optimization system based on intelligent management

Abstract

The invention discloses an efficient optimization system based on intelligent management, which comprises a division setting module, a management control module and an investigation transmission module, and is characterized in that the division setting module is in network connection with the management control module, and the management control module is in network connection with the investigation transmission module; the division setting module is used for performing division setting management on the mobile network, the management control module is used for performing optimization management control on the mobile network, and the survey transmission module is used for performing survey transmission processing on data information. The division setting module comprises a hierarchical division module, a table structure setting module and a data loading module, the hierarchical division module is in network connection with the table structure setting module, the table structure setting module is in data connection with the data loading module, and the hierarchical division module is used for performing hierarchical division processing on the mobile network. The system has the characteristics of high service quality and intelligent management.

Description

Technical Field

[0001] The present invention relates to the technical field of efficient optimization systems, and in particular to a highly efficient optimization system based on intelligent management. Background Art

[0002] The information industry is the basic industry of my country's national economy and a leading strategic and pillar industry. The information industry is one of the important symbols of a country's comprehensive national strength. As the fastest growing industry in the information industry, the mobile communications industry has brought huge economic benefits to the country, effectively driven the growth of the national economy, created a large number of employment opportunities, and greatly improved people's living standards. At present, most mobile network operators attach great importance to the construction of mobile networks and invest a lot of human, physical and financial resources in network construction. As the scale of mobile networks becomes larger and the structure of mobile networks becomes more and more complex, simply increasing the investment in network construction is no longer enough to fully utilize resources and maximize the quality of existing networks, which seriously affects the service quality of mobile networks and seriously reduces the service efficiency of voice and other services. Therefore, it is necessary to design an efficient optimization system based on intelligent management with high service quality and intelligent management. Summary of the invention

[0003] The purpose of the present invention is to provide an efficient optimization system based on intelligent management to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: an efficient optimization system based on intelligent management, comprising: a division setting module, a management control module and a survey transmission module, the division setting module and the management control module are network-connected, the management control module and the survey transmission module are network-connected, the division setting module is used to perform division setting management of the mobile network, the management control module is used to perform optimization management and control of the mobile network, and the survey transmission module is used to perform survey transmission processing of data information.

[0005] According to the above technical solution, the division setting module includes a hierarchical division module, a table structure setting module and a data loading module. The hierarchical division module and the table structure setting module are network connected, and the table structure setting module and the data loading module are data connected. The hierarchical division module is used to perform hierarchical division processing of the mobile network, the table structure setting module is used to set and manage the mobile network data table structure, and the data loading module is used to control the loading of mobile network data.

[0006] According to the above technical solution, the management control module includes a query management module, an index control module and a query storage module. The query management module is connected to the index control module through a network, and the index control module is connected to the query storage module through a network. The query management module is used to perform query analysis and processing of the mobile network, the index control module is used to perform index control management of the mobile network, and the query storage module is used to manage the query storage of data information.

[0007] According to the above technical solution, the investigation and transmission module includes an investigation and collation module and a transmission management module. The investigation and collation module is electrically connected to the transmission management module. The investigation and collation module is used to investigate and collate the usage feedback of the mobile network, and the transmission management module is used to manage the transmission of data information.

[0008] According to the above technical solution, the operation method of the efficient optimization system based on intelligent management includes the following steps:

[0009] Step S1: When optimizing the mobile network, first divide the mobile network into layers;

[0010] Step S2: After completing the mobile network hierarchical division, analyze and manage the data table results and data records of the mobile network;

[0011] Step S3: further optimizing the management and control of the operation of the mobile network;

[0012] Step S4: Conduct opinion survey feedback statistics and transmission management on the use of mobile networks.

[0013] According to the above technical solution, step S1 further includes the following steps:

[0014] In the mobile network, data containers are divided into layers, from top to bottom, including the data container interface layer, the data container logic layer and the data container storage layer. The data container interface layer is used to provide a data container interaction interface. For the users of the data container, they can use the data container to perform corresponding operations according to the interface specifications and operation procedures of the data container interface layer. The data container logic layer is used to implement data access and data query. According to the different data organization methods and query algorithms for implementing the data container, the set logic can be directly implemented as the interface form defined in the data container interface layer, or the logic can be implemented as a data access and data query interface different from the data container interface layer, and the standard interface defined in the data container interface layer is finally implemented through the encapsulation of the data container interface layer. The specific data storage and auxiliary structure organization scheme is implemented in the data container storage layer, including the creation, storage and management of index structures and temporary query results.

[0015] According to the above technical solution, step S2 further includes the following steps:

[0016] Step S21: After completing the hierarchical division of the mobile network data container interface, the data table in the mobile Internet is set to consist of two parts: data table meta information and table data. The data table meta information is controlled to store basic information describing the data table, including the data table name, number of rows, and number of columns, and the table data information is stored in a column-oriented manner. The data column objects of the data table are maintained by controlling the length of the data column vector, so that each column object represents a column in the data table, and has a fixed position number in the data column vector;

[0017] Step S22: After receiving the result information of the data table composition setting, the data table format setting adopts an incremental addition mode. Each time a data column is added, the data container user needs to initiate a request call to the data container to add a new column. First, the data container receives a request call to add a new column, which contains the name of the data column to be added and the value type in the data column. The data container creates an empty data column object, and sets the newly created column object according to the required data column name and the value type in the data column. Then, the reference of the newly created column object is appended to the end of the data column vector of the data table. The data container user repeatedly sends the request to add a new column until all the required data columns have been added. The data addition operation in the data column is directly performed on the data vector of the data column object, providing an incremental addition mode adopted by the class data table format setting, that is, appending a value to the specified data column each time, and also providing the ability to load data column values ​​in batches.

[0018] According to the above technical solution, step S3 further includes the following steps:

[0019] Step S31: In a mobile network, when a data container receives a simple query request call, it first finds the data column corresponding to the query condition and determines whether the data column has an established index. If the corresponding data column has an index, the query condition is used to quickly obtain the result index fragment in the index. If the corresponding data column has no index, the data container will traverse all values ​​of the data column, determine whether each value meets the query condition, and record the data rows that meet the query condition. The final set of data rows that meet the query condition is the result of this query. When processing a merged result query, the given two groups of query results to be merged should be stored in the query result storage area. First, the data container locates the given two groups of query results to be merged and determines whether the data rows in the two groups of query results to be merged are arranged in order. If the data rows are arranged in order, the results are merged by a merge algorithm. If at least one of the query results to be merged is out of order, the out-of-order query results need to be sorted, and then the merge algorithm is executed to merge the results.

[0020] Step S32: for the data index in the mobile network, replace each value in the data column with its position number before sorting in the arrangement after the values ​​in the data column are arranged in a stable increasing order to form a position number sequence. Specifically, the corresponding values ​​are first sorted, and then the values ​​in the sorted sequence are replaced with their position numbers in the original value sequence to obtain the index sequence, that is, the position numbers in the index sequence are arranged in the increasing order of the corresponding values. The original value sequence is set to D, the sorted sequence is set to S, and the index sequence is called I, wherein for any data column value x that belongs to the range of position numbers, when all data column values ​​y in the data position number range are less than x, then D[I[x]]≥D[I[y], if D[I[a]]=D[I[b]], then the values ​​in the corresponding data column increase from position a to position b in the index sequence I;

[0021] Step S33: further manage and control the query results in the mobile network so that the query results consist of a data row number set or an index fragment. The data row number set is stored through a row number vector, and only the left and right endpoints of the index fragment are stored for the index fragment. When the user needs to obtain data or the user initiates a secondary search based on this result, the index fragment is traversed to obtain the row number information and directly returned or used.

[0022] According to the above technical solution, step S4 further includes the following steps:

[0023] Step S41: Conducting a questionnaire survey on users of the mobile network and collating user feedback data on the mobile network;

[0024] Step S42: The sorted result data information is transmitted to the management work end for the management personnel to provide reference for subsequent optimization.

[0025] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, by providing a partition setting module, a management control module and a survey transmission module, can greatly reduce the amount of fragmented storage in the storage space of the mobile network, effectively improve the data operation and processing efficiency of the mobile network, and reduce the storage resource consumption and operation storage load of the mobile network; and by selectively loading the data columns that need to be accessed and omitting the data columns that the network optimization method does not care about, the space utilization efficiency can be increased, and at the same time, the data provided by the data source can be selectively organized, which also improves the flexibility of the mobile network. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0027] Figure 1It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0028] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] See also Figure 1 The present invention provides a technical solution: an efficient optimization system based on intelligent management, including: a division setting module, a management control module and an investigation and transmission module, the division setting module and the management control module are network-connected, the management control module and the investigation and transmission module are network-connected, the division setting module is used to perform division setting management of the mobile network, the management control module is used to perform optimization management and control of the mobile network, and the investigation and transmission module is used to perform investigation and transmission processing of data information.

[0030] The division setting module includes a hierarchical division module, a table structure setting module and a data loading module. The hierarchical division module and the table structure setting module are connected by network, and the table structure setting module and the data loading module are connected by data. The hierarchical division module is used to perform hierarchical division processing of the mobile network, the table structure setting module is used to set and manage the mobile network data table structure, and the data loading module is used to control the loading of mobile network data.

[0031] The management control module includes a query management module, an index control module and a query storage module. The query management module and the index control module are connected to the network, and the index control module and the query storage module are connected to the network. The query management module is used to perform query analysis and processing of the mobile network, the index control module is used to perform index control management of the mobile network, and the query storage module is used to manage the query and storage of data information.

[0032] The investigation and transmission module includes an investigation and collation module and a transmission management module. The investigation and collation module is electrically connected to the transmission management module. The investigation and collation module is used to investigate and collate the usage feedback of the mobile network, and the transmission management module is used to manage the transmission of data information.

[0033] A method for operating an efficient optimization system based on intelligent management comprises the following steps:

[0034] Step S1: When optimizing the mobile network, first divide the mobile network into layers;

[0035] Step S2: After completing the mobile network hierarchical division, analyze and manage the data table results and data records of the mobile network;

[0036] Step S3: further optimizing the management and control of the operation of the mobile network;

[0037] Step S4: Conduct opinion survey feedback statistics and transmission management on the use of mobile networks.

[0038] Step S1 further comprises the following steps:

[0039] In the mobile network, data containers are divided into layers, from top to bottom, including the data container interface layer, the data container logic layer and the data container storage layer. The data container interface layer is used to provide a data container interaction interface. For the users of the data container, they can use the data container to perform corresponding operations according to the interface specifications and operation procedures of the data container interface layer. The data container logic layer is used to implement data access and data query. According to the different data organization methods and query algorithms for implementing the data container, the set logic can be directly implemented as the interface form defined in the data container interface layer, or the logic can be implemented as a data access and data query interface different from the data container interface layer, and the standard interface defined in the data container interface layer is finally implemented through the encapsulation of the data container interface layer. The specific data storage and auxiliary structure organization scheme is implemented in the data container storage layer, including the creation, storage and management of index structures and temporary query results.

[0040] Step S2 further comprises the following steps:

[0041] Step S21: After completing the hierarchical division of the mobile network data container interface, the data table in the mobile Internet is set to consist of two parts: data table meta information and table data. The data table meta information is controlled to store basic information describing the data table, including the data table name, number of rows, and number of columns, and the table data information is stored in a column-oriented manner. The data column object of the data table is maintained by controlling the length of the data column vector, so that each column object represents a column in the data table, and has a fixed position number in the data column vector; in this step, each column object of the mobile network represents a data column in the data table, and the data column consists of data column meta information, value type information, and data storage variable-length vector, wherein the data column meta information stores basic information describing the data column, such as the data column name, data column length, etc. , the value type information stores the type information describing the value stored in the data column, including the type number and the memory width occupied by a single value, so that the variable-length vector storing the data maintains a variable-length continuous memory block, and places the value elements in the data column in sequence according to the memory width occupied by a single value. If the value queue is not fixed (such as a string), the type information here stores the memory width occupied by the reference to the single value, and the variable-length vector storing the data will also store the reference to the value object, and the specific value object will be stored in a continuous memory space. Through this processing step, the amount of fragmented storage in the storage space of the mobile network can be greatly reduced, effectively improving the data operation processing efficiency of the mobile network, and reducing the storage resource consumption and operation storage load of the mobile network;

[0042] Step S22: After receiving the result information of the data table composition setting, the data table format setting adopts an incremental addition mode. Each time a data column is added, the data container user needs to initiate a request call to the data container to add a new column. First, the data container receives a request call to add a new column, which contains the name of the data column to be added and the value type in the data column. The data container creates an empty data column object, and sets the newly created column object according to the required data column name and the value type in the data column. Then, the reference of the newly created column object is appended to the end of the data column vector of the data table. The data container user repeatedly sends the request to add a new column until all the required data columns have been added. The data addition operation in the data column is directly performed on the data vector of the data column object, providing an incremental addition mode adopted by the class data table format setting, that is, appending a value to the specified data column each time, and also providing the ability to load data column values ​​in batches. In this step, the function of batch loading data requires the data container user to provide continuous value start and end iterators. By accessing the continuous values ​​one by one through iterators inside the data container and appending them to the data column, the execution efficiency of batch loading data can be improved. Storing data by column and setting the data table structure in incremental addition mode provides good flexibility for mobile network optimization and effectively saves storage space. Since only a part of the road test data and base station data are used in some network optimization methods, the space utilization efficiency can be increased by selectively loading the data columns that need to be accessed and omitting the data columns that the network optimization method does not care about. At the same time, the data provided by the data source can be selectively organized, which also improves the flexibility of the data container.

[0043] Step S3 further comprises the following steps:

[0044] Step S31: In a mobile network, when a data container receives a simple query request call, it first finds the data column corresponding to the query condition and determines whether the data column has an established index. If the corresponding data column has an index, the query condition is used to quickly obtain the result index fragment in the index. If the corresponding data column has no index, the data container will traverse all values ​​of the data column, determine whether each value meets the query condition, and record the data rows that meet the query condition. The final set of data rows that meet the query condition is the result of this query. When processing a merged result query, the given two groups of query results to be merged should be stored in the query result storage area. First, the data container locates the given two groups of query results to be merged and determines whether the data rows in the two groups of query results to be merged are arranged in order. If the data rows are arranged in order, the results are merged through a merging algorithm. If there are at least One is unordered, and the unordered query results need to be sorted, and then the merge algorithm is executed to merge the results; in this step, a simple query, that is, the query condition is for a single data column, and a set of data rows that meet the condition is queried from all the data rows stored in the data container as the query result, and the merged result query is to find the data rows that meet both query conditions as the result by merging the query results of the two groups of queries in a certain way. Through this step, the data query in the mobile network is divided into the indexed and unindexed cases, ensuring that the data container can correctly return the query results when the corresponding queried data column is indexed or not, so that the data container user can index the frequently queried data column according to specific needs, and not index the data column with less query volume to save space and the time required for indexing, thereby improving the performance of the data container while increasing the flexibility of mobile network analysis and processing;

[0045] Step S32: for data index in the mobile network, replace each value in the data column with its position number before sorting in the arrangement after the values ​​in the data column are arranged in a stable increasing order to form a position number sequence. Specifically, the corresponding values ​​are first sorted, and then the values ​​in the sorted sequence are replaced with their position numbers in the original value sequence to obtain the index sequence, that is, the position numbers in the index sequence are arranged in the order of increasing corresponding values. The original value sequence is set as D, the sorted sequence is set as S, and the index sequence is called I, wherein for any data column value x that belongs to the range of position numbers, when all data column values ​​y in the data position number range are less than x, then D[I[x]]≥D[I[y], if D[I[a]]=D[I[b]], then the values ​​in the corresponding data column are increased from position a to position b in the index sequence I; through this step, the data container can access the device interface through a unified index, and can support a variety of data index structures, effectively improving the analysis and processing efficiency of the mobile network;

[0046] Step S33: further manage and control the query results in the mobile network, so that the query results are composed of a data row number set or an index fragment, the data row number set is stored through a row number vector, and only the left and right endpoints of the index fragment are stored for the index fragment. When the user needs to obtain data or the user initiates a secondary search based on this result, the index fragment is traversed to obtain the row number information and directly returned or used. In this step, if the query results are uniformly stored using row number vectors, it is not possible to efficiently handle all situations. When the query result is a fragment of an index, the direct storage of the query result will require the index fragment to be copied to a row number vector for unnecessary copying, which seriously affects the operation service efficiency of the mobile network and causes unnecessary resource consumption. Therefore, through this processing step, the operation load of the mobile network can be effectively reduced and the operation efficiency can be improved.

[0047] Step S4 further comprises the following steps:

[0048] Step S41: Conducting a questionnaire survey on users of the mobile network and collating user feedback data on the mobile network;

[0049] Step S42: The sorted result data information is transmitted to the management work end for the management personnel to provide reference for subsequent optimization.

[0050] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0051] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An efficient optimization system based on intelligent management, comprising: The division setting module, the management control module and the investigation and transmission module are characterized in that: the division setting module and the management control module are connected to the network, the management control module and the investigation and transmission module are connected to the network, the division setting module is used to perform division setting management of the mobile network, the management control module is used to perform optimization management and control of the mobile network, and the investigation and transmission module is used to perform investigation and transmission processing of data information.

2. According to claim 1, a highly efficient optimization system based on intelligent management is characterized in that: The division setting module includes a hierarchical division module, a table structure setting module and a data loading module. The hierarchical division module and the table structure setting module are network-connected, and the table structure setting module and the data loading module are data-connected. The hierarchical division module is used to perform hierarchical division processing of the mobile network, the table structure setting module is used to set and manage the mobile network data table structure, and the data loading module is used to control the loading of mobile network data.

3. According to claim 1, a highly efficient optimization system based on intelligent management is characterized in that: The management control module includes a query management module, an index control module and a query storage module. The query management module is connected to the index control module through a network, and the index control module is connected to the query storage module through a network. The query management module is used to perform query analysis and processing on the mobile network, the index control module is used to perform index control management on the mobile network, and the query storage module is used to manage the query storage of data information.

4. The efficient optimization system based on intelligent management according to claim 1, characterized in that: The survey transmission module includes a survey and collation module and a transmission management module. The survey and collation module is electrically connected to the transmission management module. The survey and collation module is used to survey and collate the usage feedback of the mobile network, and the transmission management module is used to manage the transmission of data information.

5. The efficient optimization system based on intelligent management according to claim 1, characterized in that: The operating method of the efficient optimization system based on intelligent management comprises the following steps: Step S1: When optimizing the mobile network, first divide the mobile network into layers; Step S2: After completing the mobile network hierarchical division, analyze and manage the data table results and data records of the mobile network; Step S3: further optimizing the management and control of the operation of the mobile network; Step S4: Conduct opinion survey feedback statistics and transmission management on the use of mobile networks.

6. The efficient optimization system based on intelligent management according to claim 5, characterized in that: The step S1 further comprises the following steps: In the mobile network, data containers are divided into layers, from top to bottom, including the data container interface layer, the data container logic layer and the data container storage layer. The data container interface layer is used to provide a data container interaction interface. For the users of the data container, they can use the data container to perform corresponding operations according to the interface specifications and operation procedures of the data container interface layer. The data container logic layer is used to implement data access and data query. According to the different data organization methods and query algorithms for implementing the data container, the set logic can be directly implemented as the interface form defined in the data container interface layer, or the logic can be implemented as a data access and data query interface different from the data container interface layer, and the standard interface defined in the data container interface layer is finally implemented through the encapsulation of the data container interface layer. The specific data storage and auxiliary structure organization scheme is implemented in the data container storage layer, including the creation, storage and management of index structures and temporary query results.

7. The efficient optimization system based on intelligent management according to claim 5, characterized in that: The step S2 further comprises the following steps: Step S21: After completing the hierarchical division of the mobile network data container interface, the data table in the mobile Internet is set to consist of two parts: data table meta information and table data. The data table meta information is controlled to store basic information describing the data table, including the data table name, number of rows, and number of columns, and the table data information is stored in a column-oriented manner. The data column objects of the data table are maintained by controlling the length of the data column vector, so that each column object represents a column in the data table, and has a fixed position number in the data column vector; Step S22: After receiving the result information of the data table composition setting, the data table format setting adopts an incremental addition mode. Each time a data column is added, the data container user needs to initiate a request call to the data container to add a new column. First, the data container receives a request call to add a new column, which contains the name of the data column to be added and the value type in the data column. The data container creates an empty data column object, and sets the newly created column object according to the required data column name and the value type in the data column. Then, the reference of the newly created column object is appended to the end of the data column vector of the data table. The data container user repeatedly sends the request to add a new column until all the required data columns have been added. The data addition operation in the data column is directly performed on the data vector of the data column object, providing an incremental addition mode adopted by the class data table format setting, that is, appending a value to the specified data column each time, and also providing the ability to load data column values ​​in batches.

8. The efficient optimization system based on intelligent management according to claim 5, characterized in that: The step S3 further comprises the following steps: Step S31: In a mobile network, when a data container receives a simple query request call, it first finds the data column corresponding to the query condition and determines whether the data column has an established index. If the corresponding data column has an index, the query condition is used to quickly obtain the result index fragment in the index. If the corresponding data column has no index, the data container will traverse all values ​​of the data column, determine whether each value meets the query condition, and record the data rows that meet the query condition. The final set of data rows that meet the query condition is the result of this query. When processing a merged result query, the given two groups of query results to be merged should be stored in the query result storage area. First, the data container locates the given two groups of query results to be merged and determines whether the data rows in the two groups of query results to be merged are arranged in order. If the data rows are arranged in order, the results are merged by a merge algorithm. If at least one of the query results to be merged is out of order, the out-of-order query results need to be sorted, and then the merge algorithm is executed to merge the results. Step S32: for the data index in the mobile network, replace each value in the data column with its position number before sorting in the arrangement after the values ​​in the data column are arranged in a stable increasing order to form a position number sequence. Specifically, the corresponding values ​​are first sorted, and then the values ​​in the sorted sequence are replaced with their position numbers in the original value sequence to obtain the index sequence, that is, the position numbers in the index sequence are arranged in the increasing order of the corresponding values. The original value sequence is set to D, the sorted sequence is set to S, and the index sequence is called I, wherein for any data column value x that belongs to the range of position numbers, when all data column values ​​y in the data position number range are less than x, then D[I[x]]≥D[I[y], if D[I[a]]=D[I[b]], then the values ​​in the corresponding data column increase from position a to position b in the index sequence I; Step S33: further manage and control the query results in the mobile network so that the query results consist of a data row number set or an index fragment. The data row number set is stored through a row number vector, and only the left and right endpoints of the index fragment are stored for the index fragment. When the user needs to obtain data or the user initiates a secondary search based on this result, the index fragment is traversed to obtain the row number information and directly returned or used.

9. The efficient optimization system based on intelligent management according to claim 5, characterized in that: The step S4 further comprises the following steps: Step S41: Conducting a questionnaire survey on users of the mobile network and collating user feedback data on the mobile network; Step S42: The sorted result data information is transmitted to the management work end for the management personnel to provide reference for subsequent optimization.

Images