Service network optimization method and device, electronic equipment and readable storage medium
By identifying and optimizing the network of the target cell, the impact of complex network optimization scenarios on surrounding areas in the prior art is solved, and precise optimization and network guarantee of site areas are achieved.
Patent Information
- Application Number
- CN202310743248.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-06-21
- Publication Date
- 2024-12-24
AI Technical Summary
Existing network optimization methods are prone to affect surrounding areas when optimizing complex scenarios, and lack precise optimization of site areas.
By receiving the input guarantee intention text, identifying the element information of the service to be guaranteed, and obtaining the target base station and cell of the target area based on the pre-built base station and cell relationship, optimizing the target cell based on the target time and network optimization target, Achieve accurate guarantees for the protection business.
Accurate optimization of the target cell is achieved to avoid affecting the surrounding area and ensure the targeted and efficient network optimization.
Smart Images

Figure CN119183123A_ABST
Abstract
Description
Technical Field
[0001] The embodiments of the present application relate to the field of wireless communication technology, and in particular to a method, device, electronic device and readable storage medium for optimizing a service network. Background Art
[0002] At present, network optimization is basically divided into daily network optimization, special network optimization and improvement, and network quality changes. Their usage scenarios, trigger conditions, and timeliness are different, but they are generally achieved by analyzing massive base station data, identifying the causes of poor network quality, and then providing solutions. The above special network optimization scenarios are all for overall optimization of the area, but due to the complexity of the network optimization scenario, it is easy to affect the surrounding areas and lack precise optimization of the site area. Summary of the invention
[0003] The embodiments of the present application provide a service network optimization method, device, electronic device and readable storage medium, which can solve the problem of the complexity of network optimization scenarios, which easily affects the surrounding areas and lacks accurate optimization of site areas.
[0004] In order to solve the above technical problems, this application is implemented as follows:
[0005] In a first aspect, a method for optimizing a service network is provided, the method comprising: receiving an input protection intention text; identifying element information of a service to be protected from the protection intention text; obtaining a target base station associated with a target area in the element information and a target cell associated with the target base station based on a pre-constructed first association relationship between a location and a base station covering the location and a second association relationship between a base station and a cell; and performing network optimization on the target cell based on a target time in the element information and a network optimization target in the element information, so as to protect the service to be protected corresponding to the protection intention text.
[0006] In a second aspect, a service network optimization device is provided, which includes: a receiving module for receiving an input protection intention text; an identification module for identifying element information of the service to be protected from the protection intention text; an acquisition module for acquiring a target base station associated with a target area in the element information and a target cell associated with the target base station based on a pre-constructed first association relationship between a location and a base station covering the location and a second association relationship between a base station and a cell; an optimization module for performing network optimization on the target cell based on the target time in the element information and the network optimization target in the element information, so as to achieve protection of the service to be protected corresponding to the protection intention text.
[0007] According to a third aspect, an electronic device is provided, comprising a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the programs or instructions are executed by the processor, the steps of the service network optimization method described in the first aspect are implemented.
[0008] In a fourth aspect, a readable storage medium is provided, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the service network optimization method as described in the first aspect are implemented.
[0009] In an embodiment of the present application, by receiving an input protection intention text, identifying element information of the service to be protected from the protection intention text, and then obtaining a target base station associated with a target area in the element information and a target cell associated with the target base station based on a pre-constructed first association relationship between a location and a base station covering the location and a second association relationship between a base station and a cell. After determining the target cell, network optimization is performed on the target cell based on the target time in the element information and the network optimization target in the element information, so as to achieve protection of the service to be protected corresponding to the protection intention text. The target cell indicated by the protection intention text can be accurately determined and the target cell can be accurately optimized to avoid affecting the surrounding areas. BRIEF DESCRIPTION OF THE DRAWINGS
[0010] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.
[0011] Figure 1 A schematic diagram of a flow chart of a service network optimization method provided by an exemplary embodiment of the present application is shown;
[0012] Figure 2 A schematic diagram of the association relationship between an area and a base station established by taking a bus station as an example provided by an exemplary embodiment of the present application is shown;
[0013] Figure 3 A schematic diagram of the association relationship between a base station and a cell established by taking a bus station as an example provided by an exemplary embodiment of the present application is shown;
[0014] Figure 4 A schematic diagram showing a flow chart of another service network optimization method provided by an exemplary embodiment of the present application;
[0015] Figure 5 A schematic diagram of the structure of a service network optimization device provided by an exemplary embodiment of the present application is shown;
[0016] Figure 6A schematic structural diagram of an electronic device provided by an exemplary embodiment of the present application is shown. DETAILED DESCRIPTION
[0017] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.
[0018] Figure 1 A schematic diagram of a flow chart of a method for optimizing a service network provided by an exemplary embodiment of the present application is shown. Figure 1 , the method comprises the following steps:
[0019] Step 102: receiving inputted security intention text;
[0020] Among them, users perceive business logic through natural language input, including region, application software (Application, APP), time and security level.
[0021] Step 104: Identify element information of the service to be guaranteed from the guarantee intention text;
[0022] Among them, by recognizing the protection intention text, for example, through the artificial intelligence (AI) model to recognize the location, time, APP and target of natural language, the element information of the business to be protected indicated in the protection intention text is obtained, such as the location area of the business to be protected, the time to perform network optimization on the business to be protected, and the protection level of the business to be protected.
[0023] Step 106: acquiring a target base station associated with a target area in the element information and a target cell associated with the target base station according to a pre-established first association relationship between a location and a base station covering the location and a second association relationship between a base station and a cell;
[0024] Among them, the first association relationship between the pre-constructed location and the base station covering the location and the second association relationship between the base station and the cell can be constructed by using the intent label in the security intent text; first, the association relationship between the base station and the cell and other information can be modeled based on the configuration information input by the user using the knowledge graph; second, the association relationship between the base station and the cell in the vertical industry can be classified and modeled. Figure 2 and Figure 3A schematic diagram showing the association relationship between an area and a base station, and the association relationship between a base station and a cell, established by taking a bus station as an example, provided by an exemplary embodiment of the present application.
[0025] Step 108: Perform network optimization on the target cell based on the target time in the element information and the network optimization target in the element information, so as to ensure the service to be ensured corresponding to the assurance intention text.
[0026] In an embodiment of the present application, by receiving an input protection intention text, which includes a target to be protected, and then identifying element information of the service to be protected from the protection intention text, such as location, target time, target object and network optimization target, after obtaining these element information, according to a pre-constructed first association relationship between the location and the base station covering the location and a second association relationship between the base station and the cell, first determine the base station according to the first association relationship, and then determine the target cell according to the second association relationship, and then obtain the target base station associated with the target area in the element information and the target cell associated with the target base station, and then optimize the network of the target cell based on the target time in the element information and the network optimization target in the element information, so as to achieve protection of the service to be protected corresponding to the protection intention text, and can accurately determine the target cell indicated by the protection intention text and accurately optimize the target cell to avoid affecting the surrounding areas.
[0027] In one implementation, the above step 108 performs network optimization on the target cell based on the target time in the element information and the network optimization target in the element information, which may include:
[0028] (1) When the network optimization target of the service to be guaranteed is the first level, a first-level network optimization strategy corresponding to the first level is implemented for the service to be guaranteed;
[0029] (2) When the network optimization target of the service to be guaranteed is the second level, a secondary network optimization strategy corresponding to the second level is implemented for the service to be guaranteed;
[0030] (3) When the network optimization target of the service to be guaranteed is the third level, a third-level network optimization strategy corresponding to the third level is implemented for the service to be guaranteed;
[0031] Among them, the effectiveness of the first-level network optimization strategy is higher than that of the second-level network optimization strategy, and the effectiveness of the second-level network optimization strategy is higher than that of the third-level network optimization strategy.
[0032] In the embodiment of the present application, three three-level network optimization strategies with different network optimization effects are provided for selection, which are respectively applicable to network optimization goals of different security levels, so as to accurately execute the corresponding network optimization strategies under the conditions of network optimization goals of different levels. Table 1 shows a three-level network optimization strategy provided by the embodiment of the present application and the security effect target corresponding to the three-level network optimization strategy.
[0033] Table 1.
[0034]
[0035]
[0036] In one implementation, before the above step 108, the above service network optimization method may further include the following steps:
[0037] Step 110: Determine whether the service to be protected conflicts with the currently existing service;
[0038] Step 112: Based on the conflict information between the service to be guaranteed and the currently existing service, obtain a processing instruction corresponding to the conflict information;
[0039] The conflict information includes information such as the conflict type and content of the conflict between the service to be protected and the currently existing service, and a processing instruction corresponding to the conflict information is determined from a preset solution according to the conflict information. Table 2 shows a conflict detection item and a conflict resolution solution provided by an embodiment of the present application, wherein the conflict information between the service to be protected and the currently existing service may include, for example, the conflict detection item in the table, and according to the conflict information provided in the table and the conflict resolution solution corresponding to the conflict information, when determining the current conflict, the corresponding conflict resolution solution can be executed.
[0040] Step 114: According to the processing instruction, the service to be protected or the currently existing service is processed accordingly.
[0041] In an embodiment of the present application, before network optimization is performed on the target cell based on the target time and network optimization target in the element information, conflict detection is first performed on each service. After determining that the service to be protected conflicts with the currently existing service, based on the conflict information between the service to be protected and the currently existing service, a processing instruction corresponding to the conflict information is obtained from a preset solution, and then, according to the processing instruction, the conflicting service to be protected or the currently existing service is processed accordingly to ensure that network optimization can proceed normally.
[0042] Table 2.
[0043]
[0044] In one implementation, the above corresponding processing includes at least one of the following:
[0045] (1) Terminate the existing services. For example, if the APPs protected in the same base station-cell and the same protection period cannot be repeated, you can choose to terminate the existing services, so that the services to be protected can proceed normally and the network can be optimized.
[0046] (2) Modify the target time of the service to be guaranteed; for example, the same base station-cell can only have one first-level service guarantee in the same guarantee period. You can choose to modify the target time of the service to be guaranteed and perform the service to be guaranteed and network optimization at other times.
[0047] (3) Modify the network optimization target of the service to be guaranteed; for example, the same base station-cell can only have one first-level service guarantee in the same guarantee period or the same base station-cell can support a maximum of N APP optimization tasks at the same time. You can choose to lower or increase the level of the network optimization target of the service to be guaranteed so that the conflicting service to be guaranteed and the existing service can be compatible.
[0048] In one implementation, before the above step 108, the above service network optimization method may further include the following steps:
[0049] Step 116: displaying prompt information, wherein the prompt information is used to indicate confirmation of the guarantee intention information, and the guarantee intention information includes: the guaranteed service to be guaranteed, the target time to be guaranteed, the network optimization target, and the target base station and the target cell;
[0050] Step 118: Receive input confirmation information.
[0051] In an embodiment of the present application, prompt information is displayed to the user, and the prompt information includes element information obtained by identifying the protection intention text, which is used to instruct the confirmation of the protection intention information in the identified protection intention text to ensure the accuracy of the intention text recognition. After the user inputs the confirmation operation, the input confirmation information is received, so that it can be determined that the current protection intention information is correct and network optimization can be performed.
[0052] In one implementation, the above service network optimization method may further include the following steps:
[0053] Step 202: in the process of performing network optimization on the target cell based on the target time in the element information and the network optimization target in the element information, obtaining a network indicator in the target area;
[0054] Step 204: When it is determined based on the obtained network indicators that the network optimization target is achieved, the current network optimization strategy is followed; when it is determined based on the obtained network indicators that the network optimization target is not achieved, a network optimization strategy with higher effectiveness than the current network optimization strategy is used.
[0055] In an embodiment of the present application, in the process of performing network optimization on the target cell based on the target time and the network optimization target in the element information, the network indicators in the target area are obtained, and then it is determined whether the obtained network indicators have reached the network optimization target. When the current network indicators have reached the network optimization target, it means that the current network optimization strategy can meet the network optimization target, and the network optimization is continued according to the current network optimization strategy; when the current network indicators have not reached the network optimization target, it means that the current network optimization strategy cannot meet the network optimization target and needs to be adjusted, then a network optimization strategy with higher effectiveness than the current network optimization strategy is used, and the network optimization strategy is adjusted in time according to the network indicators to meet the current network optimization target and achieve more accurate network optimization.
[0056] In one implementation, after the above step 202, the above service network optimization method may further include the following steps:
[0057] Step 206: Based on the network indication, evaluate the network optimization of the service to be guaranteed;
[0058] Optionally, the network optimization status of the service to be guaranteed can be detected from multiple dimensions.
[0059] (1) Dimension 1: Quick evaluation: Feedback on the throughput and latency values before and after network optimization is provided within 1 to 3 minutes after the network optimization is performed on the service to be guaranteed.
[0060] (2) Dimension 2: Current benefits, the overall compliance status of base stations and cells in the target area.
[0061] (3) Dimension 3: Current risk, the non-compliance of network elements in the target area.
[0062] (4) Dimension 4: Real-time indicators, including the throughput value, latency value, and mean opinion score (MoS) of the current service to be guaranteed.
[0063] (5) Dimension 5: Historical earnings, for cyclical businesses, the overall performance during the cyclical period.
[0064] Step 207: Feedback the evaluation results.
[0065] In the embodiment of the present application, after obtaining the network indicators in the target area, the network optimization of the service to be guaranteed is evaluated, the network optimization situation is analyzed through different dimensions, and the evaluation results are fed back for further instructions.
[0066] In one implementation, feeding back the evaluation result may include: feeding back a warning indicator when the evaluation result indicates that the network optimization target is not achieved in the target area, wherein the warning indicator includes at least one of the following:
[0067] (1) If the number of key network elements that do not meet the network optimization target is too small, the throughput value is lower than the throughput threshold of the key network element, or the delay value is higher than the delay threshold of the key network element, an early warning is issued to inform the user that the key network element is abnormal.
[0068] (2) The number of network elements that have not reached the network optimization target, the network elements whose throughput value is lower than the throughput threshold value of the network element or the network elements whose delay value is higher than the delay threshold value of the network element.
[0069] (3) Compliance rate: the number of network elements that meet the security expectations or the number of network elements that meet the overall security requirements.
[0070] In an embodiment of the present application, when the evaluation result indicates that the network optimization target has not been achieved in the target area, a warning indicator is fed back, and corresponding adjustments are made based on the warning indicator to ensure efficient network optimization.
[0071] In one implementation, after the above step 108, the above method may further include: evaluating the overall indicator status within the target time.
[0072] After completing the network optimization of the target cell, evaluate the overall indicators within the target time, such as calculating the compliance rate and showing the compliance status of this network optimization.
[0073] Figure 4 A flow chart showing another method for optimizing a service network provided by an exemplary embodiment of the present application is shown; see Figure 4 , the method may include the following steps:
[0074] Step 401: receiving an operation of logging into a wireless network management system;
[0075] Step 402: responding to a click operation on the intention assistant icon;
[0076] Step 403: Select a map, and select a map of the area to be protected;
[0077] Step 404: Build a model through intent labels;
[0078] Step 405: Declare intention and receive input security intention text;
[0079] Step 406: Intent translation, identifying the security intent text, and obtaining the target cell based on the constructed model;
[0080] Step 407: Intention confirmation, confirming whether the protection intention in the protection intention text is correctly identified;
[0081] Step 408: Detect intention conflicts. When the service to be guaranteed conflicts with the existing service, handle the conflicts according to the preset solutions.
[0082] Step 409: Intent assurance, network optimization for the target cell;
[0083] Step 410: Intent assessment, real-time feedback of intent assurance, and observation of trends in network indicators;
[0084] Step 411: End, the system completes the assurance task within the period declared by the intention, automatically restores to the network state before the assurance, and obtains the compliance rate.
[0085] In an embodiment of the present application, by identifying the received protection intention text and obtaining the target cell that needs to be optimized based on the constructed model, before optimizing the target cell, first confirm that the protection intention in the protection intention text is correctly identified, and then perform conflict detection. If no conflict occurs, the target cell is optimized. If a conflict occurs, it is processed according to a preset solution. After resolving the conflict, the target cell is optimized. In addition, during the network optimization process and after the network optimization is completed, the intention protection situation is fed back in real time to determine whether the network optimization goal has been achieved. The target cell indicated by the protection intention text can be accurately determined and the target cell can be accurately optimized to avoid affecting the surrounding areas.
[0086] Application scenario 1 of the embodiment of the method of the present application: card swiping security is performed at subway stations in area X during rush hours in the morning and evening.
[0087] It can be known that 1) 7:00-9:00 am and 6:00-8:00 pm are rush hours every day, and the flow of people in and out of the subway station platform increases dramatically, and the card swiping business increases dramatically, requiring a quick response to ensure smooth card swiping at the gate; 2) There are many subways, stations, and exits in area X, and tens of thousands of people enter and exit swiping cards every minute, which places extremely high requirements on mobile ticket purchase APPs, and both opening and recognition require millisecond-level responses. Network optimization through the business network optimization method of this application may include the following steps:
[0088] Step 1: The network optimization personnel log in to the network management, enter the intention assistant interface, select the Shanghai-Pudong New Area map, and enter the intention: to ensure card swiping at subway stations in area X during rush hour in the morning and evening.
[0089] Step 2: The intent engine translates the above input intent text and identifies four elements, including location, time, APP and target.
[0090] Among them, the region identification:
[0091] 1) Analyze the corpus and find the keyword area X subway station;
[0092] 2) Identify base stations covering the perimeter of subway stations through map information and keyword matching;
[0093] 3) According to the association relationship between base stations and cells modeled by labels, find the cells near the specific subway stations.
[0094] Step 3: Intent confirmation: the user confirms whether the intent recognition is accurate.
[0095] Step 4: Intent detection: the system will perform conflict detection to determine whether there are identical tasks and whether they affect other security services.
[0096] Step 5, intention assurance, after passing the above conflict detection, start automatic assurance, the system automatically identifies the scenario and prioritizes the third-level business assurance.
[0097] Step 6, intention assessment, in the process of executing the guarantee, the key guarantee indicators are reported in real time so that users can understand the guarantee status at any time. In this scenario, the indicators of the above five dimensions are mainly observed.
[0098] Step 7, end the guarantee. This scenario is a periodic task, and the guarantee is only performed during the peak time period of the day. The wireless resource strategy will tend to support the subway station card swiping guarantee, and restore the balance state at other times.
[0099] Application scenario 2 of the embodiment of the method of the present application: the cultural center in area Y holds a cultural performance from 7 to 9 p.m., and APP1 and APP2 are played synchronously during the same period. It is necessary to ensure that the playback is not stuck, but the wireless services of key sites in the business district cannot be affected.
[0100] It can be known that the base stations in business districts and residential areas are deployed in an interlaced manner, making it difficult for network optimization personnel to clearly describe the security intentions through voice or text, and the permissions of different network optimization personnel are also different. Network optimization through the business network optimization method of this application may include the following steps:
[0101] Step 1: The network optimization personnel log in to the network management, enter the intention assistant interface, select the map, and enter the intention: Area Y Cultural Center ensures that APP1 and APP2 in the residential area are not stuck from 7 to 9 pm.
[0102] Step 2: The intent engine translates the above input intent text and identifies four elements, including location, time, APP and target.
[0103] Among them, the region identification:
[0104] 1) Analyze the corpus and find the keyword region Y cultural center;
[0105] 2) Identify base stations around the Y cultural center in coverage area through map information and keyword matching;
[0106] 3) Find the cell near the specific cultural center based on the association between the base station and the cell modeled by the label;
[0107] 4) Using base station tags, identify key sites with cross-coverage of business districts and identify the associated cells of the key sites;
[0108] 5) Classify the key subdivisions in business districts and subdivisions in residential areas.
[0109] Step 3: Intent confirmation: the user confirms whether the intent recognition is accurate.
[0110] Step 4: Intent detection: the system will perform conflict detection to determine whether there are identical tasks and whether they affect other security services.
[0111] Step 5, intention assurance, provides strategic assurance for base stations covering the cultural center and optimizes assurance for key sites with staggered coverage.
[0112] Step 6, intention assessment, during the execution of assurance, key assurance indicators are reported in real time so that users can understand the assurance status at any time. This scenario is not a periodic task, and only the indicators of the first four dimensions need to be observed.
[0113] Step 7, end the protection. In this scenario, APP1 and APP2 are protected within the specified time, and the balance state is restored after the end.
[0114] Figure 5 The schematic diagram of the structure of the service network optimization device provided by an exemplary embodiment of the present application is shown. The device can achieve the following Figure 1 or Figure 4 In any one of the illustrated embodiments, the device 50 includes: a receiving module 51 , an identification module 52 , an acquisition module 53 and an optimization module 54 .
[0115] Among them, the receiving module 51 is used to receive the input protection intention text; the identification module 52 is used to identify the element information of the service to be protected from the protection intention text; the acquisition module 53 is used to obtain the target base station associated with the target area in the element information and the target cell associated with the target base station according to the first association relationship between the pre-constructed location and the base station covering the location and the second association relationship between the base station and the cell; the optimization module 54 is used to perform network optimization on the target cell based on the target time in the element information and the network optimization target in the element information, so as to realize the protection of the service to be protected corresponding to the protection intention text.
[0116] In one implementation, the optimization module 54 may be used to:
[0117] (1) When the network optimization target of the service to be guaranteed is the first level, a first-level network optimization strategy corresponding to the first level is implemented for the service to be guaranteed;
[0118] (2) When the network optimization target of the service to be guaranteed is the second level, a secondary network optimization strategy corresponding to the second level is implemented for the service to be guaranteed;
[0119] (3) When the network optimization target of the service to be guaranteed is the third level, a third-level network optimization strategy corresponding to the third level is implemented for the service to be guaranteed;
[0120] Among them, the effectiveness of the first-level network optimization strategy is higher than that of the second-level network optimization strategy, and the effectiveness of the second-level network optimization strategy is higher than that of the third-level network optimization strategy.
[0121] In one implementation, the above-mentioned device 50 also includes a conflict processing module, which is used to determine whether the service to be protected conflicts with the currently existing service; based on the conflict information between the service to be protected and the currently existing service, obtain a processing instruction corresponding to the conflict information; and according to the processing instruction, perform corresponding processing on the service to be protected or the currently existing service.
[0122] In one implementation, the corresponding processing includes at least one of the following:
[0123] (1) Termination of existing business;
[0124] (2) Modify the target time for the business to be guaranteed;
[0125] (3) Modify the network optimization objectives of the services to be guaranteed.
[0126] In one implementation, the above-mentioned device 50 also includes a display module for displaying prompt information, wherein the prompt information is used to indicate confirmation of the protection intention information, and the protection intention information includes: the protected services to be protected, the target time to be protected, the network optimization target, and the target base station and the target cell; and the input confirmation information is received.
[0127] In one implementation, the above-mentioned optimization module can also be used for: in the process of performing network optimization on the target cell based on the target time in the element information and the network optimization target in the element information, obtaining network indicators within the target area; when it is determined based on the obtained network indicators that the network optimization target has been achieved, following the current network optimization strategy; when it is determined based on the obtained network indicators that the network optimization target has not been achieved, using a network optimization strategy that is more effective than the current network optimization strategy.
[0128] In an implementation manner, the above-mentioned device 50 may further include an evaluation module, which is used to evaluate the network optimization of the service to be guaranteed based on the network indication; and feed back the evaluation result.
[0129] In one implementation, the above-mentioned feedback evaluation results include: when the evaluation results indicate that the network optimization target has not been achieved in the target area, feedback of early warning indicators, wherein the early warning indicators include at least one of the following: the number of key network elements that have not achieved the network optimization target, the number of network elements that have not achieved the network optimization target, and the compliance rate.
[0130] In one implementation, the above-mentioned evaluation module can also be used to: evaluate the overall indicator situation within the target time.
[0131] In an exemplary embodiment, an electronic device is also provided, the electronic device is used to execute the above data transmission method, Figure 6 A schematic diagram of the structure of an electronic device for implementing various embodiments of the present application. The electronic device may have relatively large differences due to different configurations or performances, and may include a processor (processor) 601, a communication interface (Communications Interface) 602, a memory (memory) 603 and a communication bus 604, wherein the processor 601, the communication interface 602, and the memory 603 communicate with each other through the communication bus 604. The processor 601 may call a computer program stored in the memory 603 and executable on the processor 601 to perform the following steps:
[0132] Identify element information of the service to be guaranteed from the guarantee intention text; obtain a target base station associated with a target area in the element information and a target cell associated with the target base station based on a pre-constructed first association relationship between a location and a base station covering the location and a second association relationship between a base station and a cell; perform network optimization on the target cell based on a target time in the element information and a network optimization target in the element information, so as to ensure the service to be guaranteed corresponding to the guarantee intention text.
[0133] The specific execution steps can refer to the various steps of the above-mentioned data transmission method embodiment, and can achieve the same technical effect. To avoid repetition, they will not be repeated here.
[0134] It should be noted that the electronic devices in the embodiments of the present application include: servers, terminals, or other devices except terminals.
[0135] The above electronic device structure does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently. For example, the input unit may include a graphics processing unit (GPU) and a microphone, and the display unit may be configured with a display panel in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit includes a touch panel and at least one of other input devices. The touch panel is also called a touch screen. Other input devices may include, but are not limited to, a physical keyboard, function keys (such as volume control buttons, switch buttons, etc.), a trackball, a mouse, and a joystick, which will not be repeated here.
[0136] The memory can be used to store software programs and various data. The memory may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required for at least one function (such as a sound playback function, an image playback function, etc.), etc. In addition, the memory may include a volatile memory or a non-volatile memory, or the memory may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. Volatile memory can be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct memory bus random access memory (DRRAM).
[0137] The processor may include one or more processing units; optionally, the processor integrates an application processor and a modem processor, wherein the application processor mainly processes operations related to the operating system, user interface, and application programs, and the modem processor mainly processes wireless communication signals, such as a baseband processor. It is understandable that the modem processor may not be integrated into the processor.
[0138] In an exemplary embodiment, a readable storage medium is also provided, in which at least one computer program is stored, and the computer program is loaded and executed by a processor to implement all or part of the steps in the above data transmission method. For example, the readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.
[0139] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the claims.
[0140] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.
Claims
1. A method for optimizing a service network, characterized in that: include: receiving inputted assurance intention text; Identifying element information of the service to be guaranteed from the guarantee intention text; According to a pre-established first association relationship between a location and a base station covering the location and a second association relationship between a base station and a cell, a target base station associated with a target area in the element information and a target cell associated with the target base station are acquired; The target cell is network optimized based on the target time in the element information and the network optimization target in the element information, so as to ensure the service to be ensured corresponding to the assurance intention text.
2. The method according to claim 1, characterized in that The performing network optimization on the target cell based on the target time in the element information and the network optimization target in the element information includes: When the network optimization target of the service to be guaranteed is the first level, performing a first-level network optimization strategy corresponding to the first level on the service to be guaranteed; When the network optimization target of the service to be guaranteed is the second level, performing a secondary network optimization strategy corresponding to the second level on the service to be guaranteed; When the network optimization target of the service to be guaranteed is the third level, performing a three-level network optimization strategy corresponding to the third level on the service to be guaranteed; Among them, the effectiveness of the first-level network optimization strategy is higher than that of the second-level network optimization strategy, and the effectiveness of the second-level network optimization strategy is higher than that of the third-level network optimization strategy.
3. The method according to claim 1, characterized in that: Before performing network optimization on the target cell based on the target time in the element information and the network optimization target in the element information, the method further includes: Determining that the service to be protected conflicts with the currently existing service; Based on the conflict information between the service to be guaranteed and the currently existing service, obtaining a processing instruction corresponding to the conflict information; According to the processing instruction, the service to be protected or the currently existing service is processed accordingly.
4. The method according to claim 3, characterized in that The corresponding processing includes at least one of the following: Ending the currently existing business; Modify the target time of the service to be guaranteed; Modify the network optimization target of the service to be guaranteed.
5. The method according to any one of claims 1 to 4, characterized in that: Before performing network optimization on the target cell based on the target time in the element information and the network optimization target in the element information, the method further includes: Display prompt information, wherein the prompt information is used to indicate confirmation of the guarantee intention information, and the guarantee intention information includes: the guaranteed service to be guaranteed, the target time to be guaranteed, the network optimization target, and the target base station and the target cell; Confirmation of input received.
6. The method according to any one of claims 1 to 4, characterized in that: The method further comprises: In a process of performing network optimization on the target cell based on the target time in the element information and the network optimization target in the element information, obtaining a network indicator in the target area; In the case where it is determined based on the obtained network indicators that the network optimization goal is achieved, according to the current network optimization strategy; In the case where it is determined based on the obtained network indicators that the network optimization target has not been achieved, a network optimization strategy with higher effectiveness than the current network optimization strategy is used.
7. The method according to claim 6, characterized in that After obtaining the network indicators in the target area, the method further includes: Based on the network indication, evaluating the network optimization of the service to be guaranteed; Feedback on evaluation results.
8. The method according to claim 7, characterized in that The feedback evaluation results include: When the evaluation result indicates that the network optimization target is not achieved in the target area, a warning indicator is fed back, wherein the warning indicator includes at least one of the following: the number of key network elements that have not achieved the network optimization target, the number of network elements that have not achieved the network optimization target, and the compliance rate.
9. The method according to any one of claims 1 to 4, characterized in that: After performing network optimization on the target cell based on the target time in the element information and the network optimization target in the element information, the method further includes: Assess the overall performance of the indicators within the stated target time.
10. A device for optimizing a service network, characterized in that: include: A receiving module, used for receiving an inputted safeguard intention text; An identification module, used to identify element information of the service to be guaranteed from the guarantee intention text; An acquisition module, configured to acquire a target base station associated with a target area in the element information and a target cell associated with the target base station according to a pre-established first association relationship between a location and a base station covering the location and a second association relationship between a base station and a cell; The optimization module is used to perform network optimization on the target cell based on the target time in the element information and the network optimization target in the element information, so as to ensure the service to be ensured corresponding to the assurance intention text.
11. An electronic device, characterized in that: The electronic device includes a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the programs or instructions are executed by the processor, the steps of the business network optimization method as described in any one of claims 1 to 9 are implemented.
12. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by a processor, the steps of the service network optimization method according to any one of claims 1 to 9 are implemented.
