Dedicated line resource surveying method and device, electronic equipment and storage medium

Abstract

The application provides a dedicated line resource exploration method and device, electronic equipment and a storage medium, and relates to the technical field of Internet, comprising: inputting the demand resource of the dedicated line to be explored into an exploration rule model to obtain an exploration rule; determining the target value of each target parameter according to a parameter mapping type and a calculation rule, and matching the target value with the corresponding data in a database to obtain a resource exploration result of the dedicated line to be explored based on the matching result. The application uses the exploration rule model to convert the demand resource of the dedicated line to be explored into an exploration rule, calculates the target value of each parameter included in the exploration rule, and matches the target value with the corresponding resource characteristic data in the database to obtain the resource exploration result of the dedicated line to be explored based on the matching result. The application does not need to perform artificial resource exploration, reduces the cost of resource exploration, improves the efficiency of resource exploration, avoids the possibility that the exploration result may have errors due to the uncertainty of artificial exploration, and realizes efficient and accurate exploration of resources.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of Internet, and particularly relates to a method and device for investigating resources of a dedicated line, an electronic device and a storage medium. BACKGROUND

[0002] A dedicated line refers to a special network for transmitting data relying on network resources of an operator. With the continuous development of Internet technology, the demand for dedicated lines is becoming increasingly strong in the military, government and enterprises, and the business of group customers is also in a state of rapid development, which puts forward higher requirements for the construction of dedicated lines. Before the construction of a dedicated line, resources used for the construction of the dedicated line need to be investigated to determine whether the existing dedicated line resources meet the requirements of the construction.

[0003] The traditional method for investigating resources of a dedicated line is usually manual resource investigation. This method is not only low in efficiency and requires a large amount of time and labor cost, but also the uncertainty of manual investigation may lead to errors in the investigation results. SUMMARY

[0004] The present application provides a method and device for investigating resources of a dedicated line, an electronic device and a storage medium to solve the defects of low efficiency, high cost and possible errors in the investigation results of manual resource investigation in the prior art.

[0005] The present application provides a method for investigating resources of a dedicated line, comprising: inputting demand resources of a dedicated line to be investigated into an investigation rule model to obtain an investigation rule output by the investigation rule model; wherein the investigation rule model comprises a corresponding relationship between the demand resources and target parameters; the investigation rule comprises at least one target parameter, each target parameter comprises a parameter name, a parameter mapping type and a calculation rule; the target value of each target parameter is determined according to the parameter mapping type and the calculation rule; the target value of each target parameter is matched with resource characteristic data of the corresponding parameter name in a database to obtain a matching result; wherein the resource characteristic data stored in the database is obtained by extracting features of communication resources in a target area; and a resource investigation result of the dedicated line to be investigated is obtained based on the matching result.

[0006] According to the method for investigating resources of a dedicated line provided by the present application, before the demand resources of the dedicated line to be investigated are input into the investigation rule model, the method further comprises: determining basic parameters according to demand resources of historical dedicated lines, wherein each basic parameter comprises a parameter name, a parameter type, a parameter mapping type, whether to be enabled and a calculation rule; and constructing the investigation rule model based on the parameter name, the parameter type, the parameter mapping type, whether to be enabled and the calculation rule of each basic parameter.

[0007] According to the private line resource exploration method provided by the application, the demand resource of the private line to be explored is input into an exploration rule model to obtain an exploration rule output by the exploration rule model, including: determining whether the basic parameters in the exploration rule model are enabled according to the demand resource of the private line to be explored; selecting the enabled basic parameters as target parameters, and determining the parameter mapping type of the target parameters; wherein the parameter mapping type includes a fixed value, a single value or a condition calculation value; determining the corresponding calculation rule based on the parameter mapping type of the target parameters; obtaining the exploration rule based on the target parameters, the parameter mapping type of the target parameters and the corresponding calculation rule.

[0008] According to the private line resource exploration method provided by the application, the demand resource of the private line to be explored is input into an exploration rule model to obtain an exploration rule output by the exploration rule model, including: inputting the demand resource of the private line to be explored into the exploration rule model to obtain the first exploration rule and the second exploration rule output by the exploration rule model, wherein the priority of the first exploration rule is higher than that of the second exploration rule; the first exploration rule and the second exploration rule are not the same; determining the target value of each target parameter according to the parameter mapping type and the calculation rule, and matching the target value of each target parameter with the resource characteristic data of the corresponding parameter name in the database to obtain a matching result; obtaining the resource exploration result of the private line to be explored based on the matching result, including: determining the first target value of each target parameter according to the first parameter mapping type and the first calculation rule; wherein each target parameter of the first exploration rule includes a first parameter name, a first parameter mapping type and a first calculation rule; matching the first target value with the resource characteristic data of the corresponding first parameter name in the database to obtain a first matching result; if the first target value matches the resource characteristic data of the corresponding first parameter name in the database, obtaining the resource exploration result of the private line to be explored based on the first matching result; if the first target value does not match the resource characteristic data of the corresponding first parameter name in the database, obtaining a second matching result through the second exploration rule, and obtaining the resource exploration result of the private line to be explored based on the second matching result.

[0009] According to the private line resource exploration method provided by the application, the demand resource of the private line to be explored is input into an exploration rule model to obtain an exploration rule output by the exploration rule model, including: inputting the demand resource of the private line to be explored into an exploration rule model to obtain the third exploration rule output by the exploration rule model; inputting the second demand resource of the second private line to be explored into the exploration rule model to obtain the fourth exploration rule output by the exploration rule model; wherein the third exploration rule and the fourth exploration rule are not the same.

[0010] According to the private line resource survey method provided by the application, before matching the target value of each target parameter with the resource characteristic data of the corresponding parameter name in the database, the method further comprises: acquiring the communication resource of the current region; performing characteristic extraction on the communication resource to obtain resource characteristic data, wherein each parameter in the resource characteristic data comprises a parameter name and a collection value; establishing a collection data model according to the resource characteristic data, and storing the collection data model into the database.

[0011] According to the private line resource survey method provided by the application, the target parameters comprise at least one of the following: a standard address, a resource type, a service guarantee level, a broadband, a longitude and latitude, and an access radius.

[0012] The application further provides a private line resource survey device, comprising: a survey rule module, configured to input the required resource of the private line to be surveyed into a survey rule model to obtain a survey rule output by the survey rule model; wherein the survey rule comprises surveying at least one target parameter, and each target parameter comprises a parameter name, a parameter mapping type and a calculation rule; a target value module, configured to determine the target value of each target parameter according to the parameter mapping type and the calculation rule; a matching result module, configured to match the target value of each target parameter with the resource characteristic data of the corresponding parameter name in the database to obtain a matching result; wherein the resource characteristic data stored in the database is obtained by performing characteristic extraction on the communication resource of the target region; and a resource survey module, configured to obtain the resource survey result of the private line to be surveyed based on the matching result.

[0013] The application further provides an electronic device, comprising a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor implements the private line resource survey method according to any one of the above-mentioned methods when executing the program.

[0014] The application further provides a non-transitory computer readable storage medium, which stores a computer program, wherein the computer program is executed by a processor to implement the private line resource survey method according to any one of the above-mentioned methods.

[0015] The application provides a private line resource exploration method and device, electronic equipment and a storage medium. The demand resource of a private line to be explored is input into an exploration rule model to obtain an exploration rule output by the exploration rule model. The exploration rule model comprises a corresponding relationship between the demand resource and a target parameter. The exploration rule comprises at least one target parameter. Each target parameter comprises a parameter name, a parameter mapping type and a calculation rule. The target value of each target parameter is determined according to the parameter mapping type and the calculation rule. The target value of each target parameter is matched with resource characteristic data corresponding to the parameter name in a database to obtain a matching result. The resource exploration result of the private line to be explored is obtained based on the matching result. The resource characteristic data stored in the database is obtained by characteristic extraction on the communication resource of a target area. The demand resource of the private line to be explored is converted into an exploration rule by using the exploration rule model. The target value of each parameter included in the exploration rule is calculated. The target value is matched with the corresponding resource characteristic data in the database. The resource exploration result of the private line to be explored is obtained based on the matching result. Manual resource exploration is not required. The cost of resource exploration is reduced. The efficiency of resource exploration is improved. The possibility of errors in the exploration result caused by the uncertainty of manual exploration is avoided. Efficient and accurate exploration of resources is realized. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0017] Figure 1 is one of the flowcharts of the private line resource exploration method provided by the application;

[0018] Figure 2 is an example diagram of conditional calculation configuration;

[0019] Figure 3 is the flowchart of the exploration rule execution provided by the application;

[0020] Figure 4 is the second flowchart of the private line resource exploration method provided by the application;

[0021] Figure 5 is the flowchart of the automatic exploration rule customization method provided by the application;

[0022] Figure 6 is the flowchart of the exploration rule model construction method provided by the application;

[0023] Figure 7is a structural schematic diagram of a dedicated line resource exploration device of the present application.

[0024] Figure 8 is a structural schematic diagram of an electronic device provided by the present application. DETAILED DESCRIPTION

[0025] To make the objectives, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be described clearly and completely below with reference to the drawings in the present application. Obviously, the described embodiments are some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort belong to the scope of protection of the present application.

[0026] The traditional dedicated line resource exploration method is usually manual resource exploration. This method is not only low in efficiency, but also needs to consume a large amount of time and labor cost. Moreover, the uncertainty of manual exploration may also cause errors in the exploration results.

[0027] Therefore, the present application provides a dedicated line resource exploration method, device, electronic equipment and storage medium to solve the defects of low efficiency, high cost and possible errors in the exploration results of manual resource exploration in the prior art.

[0028] Please refer to Figure 1 , Figure 1 is one of the flowcharts of the dedicated line resource exploration method provided by the present application. In the embodiment, the dedicated line resource exploration method specifically includes steps 110 to 140, and each step is specifically as follows.

[0029] Step 110: input the required resources of the dedicated line to be explored into an exploration rule model to obtain the exploration rule output by the exploration rule model.

[0030] In different business scenarios, the construction requirements of the dedicated line are different, and the resources used for constructing the dedicated line are also different. For example, some dedicated lines are mainly used for realizing high-speed transmission of data, so high-speed network equipment and transmission lines are required, while some other dedicated lines need to ensure network stability, so more backup and redundant equipment are required. Therefore, before constructing the dedicated line, the type and quantity of the required dedicated line resources need to be determined according to the construction requirements of the dedicated line, and the resources used for constructing the dedicated line need to be explored to determine whether the existing dedicated line resources meet the construction requirements.

[0031] Further, after determining the required resources of the dedicated line to be explored according to the construction requirements of the dedicated line, the required resources of the dedicated line to be explored can be input into the exploration rule model to obtain the exploration rule output by the exploration rule model.

[0032] The exploration rule model includes a corresponding relationship of demand resources and target parameters; the exploration rule includes at least one target parameter, and each target parameter includes a parameter name, a parameter mapping type and a calculation rule.

[0033] It should be noted that the exploration rule can be used to describe the resource demand and construction conditions of the to-be-explored private line. For example, if the exploration rule includes two target parameters of broadband and high-speed transmission equipment, it means that the to-be-explored private line has specific requirements for broadband resources and high-speed transmission equipment resources. The exploration rule can be generated according to the private line resource demand and the exploration rule model.

[0034] The exploration rule model can comprehensively analyze the resources required by the to-be-explored private line according to specific business scenarios and demands, extract all target parameters required by the to-be-explored private line, and determine the parameter name, parameter mapping type and calculation rule corresponding to each target parameter, and then generate the exploration rule corresponding to the to-be-explored private line.

[0035] The establishment of the exploration rule model needs to consider different private line construction demands and resource allocation situations. For example, a private line may need multiple parameters such as standard address, resource type, latitude and longitude, access radius, service guarantee level, broadband, etc. to determine resource demand, and the data sources of each parameter may also be different. Some parameters may be fixed values, and some parameters may need to be obtained by calculation. Therefore, the exploration rule model needs to comprehensively analyze the demands of all private lines, extract the corresponding relationship of demand resources and target parameters of all private lines, and determine the type and mapping type of each parameter to meet the diversified private line exploration demands.

[0036] Step 120: determining the target value of each target parameter according to the parameter mapping type and the calculation rule.

[0037] The exploration rule includes at least one target parameter, and each target parameter includes a parameter name, a parameter mapping type and a calculation rule. The parameter name is used to identify the resources required by the to-be-explored private line, for example, the parameter name can be a standard address, a resource type, etc. The parameter mapping type is used to describe the data source mode of the parameter, for example, the data source of the parameter can be a fixed value, a single value or a conditional calculation value. The calculation rule refers to the specific rules of mathematical calculation or logical calculation of the parameter, for example, union of multiple data, summation, etc. The calculation rule can be adjusted according to actual demands, which is not limited in the embodiment.

[0038] When the exploration rule includes multiple target parameters, target values of each target parameter need to be determined according to the parameter mapping type and the calculation rule. For example, when the exploration rule includes three parameters of resource type, longitude and latitude, target values of the resource type, longitude and latitude need to be determined according to the parameter mapping type and the calculation rule of the parameter resource type, the parameter longitude and the parameter latitude respectively.

[0039] When the exploration rule includes one target parameter, only one target value needs to be determined according to the parameter mapping type and the calculation rule of the parameter.

[0040] Step 130: Matching the target value of each target parameter with the resource characteristic data of the corresponding parameter name in the database to obtain a matching result.

[0041] The resource characteristic data stored in the database is obtained by extracting characteristics of the communication resources in the target area.

[0042] Specifically, when the exploration rule includes multiple target parameters, target values of each target parameter need to be determined according to the parameter mapping type and the calculation rule, and the target value of each target parameter needs to be matched with the resource characteristic data of the corresponding parameter name in the database. For example, when the exploration rule includes two parameters of longitude and latitude, target values of the longitude and the latitude need to be calculated respectively, the target value of the longitude is matched with the resource characteristic data of the longitude in the database, and the target value of the latitude is matched with the resource characteristic data of the latitude in the database, to obtain matching results of the two parameters of longitude and latitude respectively.

[0043] Step 140: Obtaining the resource exploration result of the to-be-explored private line based on the matching result.

[0044] The resource characteristic data of the corresponding parameter name in the database can indicate the existing private line resources in the target area, and the target parameters included in the exploration rule can represent the resources required for constructing the private line. When the matching result is resource matching success, it means that the existing private line resources in the target area meet the demand of private line construction; when the matching result is resource matching failure, it means that the existing private line resources in the target area do not meet the demand of private line construction.

[0045] If the exploration rule includes multiple target parameters, only when each target parameter in the exploration rule matches the resource characteristic data of the corresponding parameter name in the database, the matching result is resource matching success; otherwise, the matching result is resource matching failure.

[0046] If the exploration rule includes only one target parameter, when the target parameter matches the resource characteristic data of the corresponding parameter name in the database, the matching result is resource matching success; otherwise, the matching result is resource matching failure.

[0047] The private line resource exploration method provided by the embodiment comprises the following steps: inputting demand resources of a private line to be explored into an exploration rule model to obtain an exploration rule output by the exploration rule model, the exploration rule model comprising a corresponding relationship between the demand resources and target parameters, the exploration rule comprising at least one target parameter, each target parameter comprising a parameter name, a parameter mapping type and a calculation rule, determining a target value of each target parameter according to the parameter mapping type and the calculation rule, matching the target value of each target parameter with resource characteristic data corresponding to the parameter name in a database to obtain a matching result, and obtaining a resource exploration result of the private line to be explored based on the matching result, wherein the resource characteristic data stored in the database is obtained by performing feature extraction on communication resources in a target area. The demand resources of the private line to be explored are converted into the exploration rule by using the exploration rule model, the target values of the parameters included in the exploration rule are calculated, the target values are matched with the corresponding resource characteristic data in the database, the resource exploration result of the private line to be explored is obtained based on the matching result, manual resource exploration is not required, the cost of resource exploration is reduced, the efficiency of resource exploration is improved, the possibility of errors in the exploration result caused by the uncertainty of manual exploration is avoided, and efficient and accurate exploration of resources is realized.

[0048] In some embodiments, before the demand resources of the private line to be explored are input into the exploration rule model, the method further comprises the following step: determining basic parameters according to demand resources of historical private lines, wherein each basic parameter comprises a parameter name, a parameter type, a parameter mapping type, whether to be enabled and a calculation rule; and constructing the exploration rule model based on the parameter name, the parameter type, the parameter mapping type, whether to be enabled and the calculation rule of each basic parameter.

[0049] Determining the basic parameters according to the demand resources of the historical private lines is an important step for constructing the exploration rule model. After the basic parameters are determined, the basic parameters can be combined to form various exploration rules, thereby meeting diversified exploration demands.

[0050] Specifically, the demand resources of the historical private lines are comprehensively analyzed, all basic parameters corresponding to the exploration resources required by the private lines are extracted, and the exploration rule model is constructed based on the parameter name, the parameter type, the parameter mapping type, whether to be enabled and the calculation rule of each basic parameter.

[0051] Optionally, each basic parameter comprises a parameter name, a parameter type, a parameter mapping type, whether to be enabled and a calculation rule.

[0052] The exploration rule model comprises all basic parameters related to the exploration resources. The basic parameters in the exploration rule model can be determined by a feature extraction algorithm, and on this basis, convenient addition can be realized by manual operation to improve the expansibility of the exploration rule model, so as to ensure that the exploration demands are met as they change.

[0053] In some embodiments, the target parameter includes at least one of a standard address, a resource type, a service guarantee level, a bandwidth, longitude and latitude, and an access radius.

[0054] The standard address refers to standardized geographic location information, which is used to determine the specific location of the to-be-investigated private line and can include province, city, district, street, and house number. Specifically, the geographic location information is described in the same format standard, for example, each piece of geographic location information needs to be accurate to the street where it is located, and a standard address table can be constructed in the database, which stores the standard addresses of all to-be-investigated private lines.

[0055] The resource type refers to the type of resource required by the to-be-investigated private line to access the network. Different to-be-investigated private lines can have different information transmission modes, and different information transmission modes require different types of resources to support. For example, when the information transmission mode of the to-be-investigated private line is ADSL (Asymmetric Digital Subscriber Line), the required resource type can be a DSP (Digital Signal Processor), a switch, etc.; when the information transmission mode of the to-be-investigated private line is FTTH (Fiber To The Home), the required resource type can be an optical fiber, an optical network unit, and an optical distribution fiber, etc.

[0056] The service guarantee level refers to the quality level of the network service provided by the operator to the customer, which is used to evaluate the stability and reliability of the network service. The service guarantee level can be designed according to the service standards of different operators, which is not limited in the present embodiment.

[0057] The bandwidth refers to the bandwidth of the to-be-investigated private line, which is an index used to represent the maximum transmission rate that can be provided by the to-be-investigated private line.

[0058] The longitude and latitude refer to the longitude and latitude information of the geographic location of the to-be-investigated private line.

[0059] The access radius refers to the range radius of the to-be-investigated private line, i.e., the radius range extending outward from the location of the to-be-investigated private line, which is used to limit the coverage of the private line service.

[0060] Please refer to Table 1, which is an example of a to-be-investigated private line rule model table.

[0061]

[0062]

[0063] Table 1

[0064] Specifically, assuming that the demand resource of the historical private line includes 6 parameters, i.e., standard address, resource type, service guarantee level, bandwidth, longitude and latitude, and access radius, the basic parameters can be determined as standard address, resource type, service guarantee level, bandwidth, longitude, latitude, and access radius.

[0065] For the convenience of management, the parameter name and corresponding parameter type of each basic parameter in the survey rule model can be made to correspond to the parameter name and parameter type of the resource feature data stored in the database.

[0066] The parameter mapping type of each parameter in the survey rule model can include fixed value, single value, or condition calculation value.

[0067] Whether to enable can include yes and no.

[0068] The calculation rule can be set to be configured when condition calculation is performed.

[0069] It should be noted that the specific rules and parameters of condition calculation can be configured by technical personnel according to actual needs, for example, the calculation parameters, operators, operation values, and operation output results of condition calculation can be defined and selected.

[0070] Please refer to Table 2, which is an example of a condition calculation rule parameter table.

[0071]

[0072]

[0073] Table 2

[0074] In Table 2, the specific rules of condition calculation include 4 calculation elements: calculation parameter, operator, operation value, and operation output result. The calculation parameter refers to the input parameter required for calculation in the survey rule, and the parameter type can be defined as character type. The operator is used to indicate the calculation on the calculation parameter, and the parameter type can be defined as enumeration (i.e., enumeration type, which is a set composed of several constant values within a fixed value range). In this embodiment, the operator can perform 4 calculations: include, not include, equal, and not equal. The operation value refers to the standard value (i.e., specific numerical value) used in the calculation rule, and the parameter type can be defined as character type. The operation output result refers to the result obtained after calculation in the survey rule, and the parameter type can be defined as character type.

[0075] Please refer to Figure 2 , Figure 2is an example diagram of conditional calculation configuration. In the embodiment, if it is required to filter out private line resources with PON and non-PON respectively, the rules and parameters of conditional calculation can be configured respectively.

[0076] Specifically, when it is required to filter out private lines with PON, the calculation parameter is the carrying mode, the operator is equal, and the operation value is PON, and the output result is POS and ONU; when it is required to filter out private lines with non-PON, the calculation parameter is the carrying mode, the operator is not equal, and the operation value is PON, and the output result is PTN, SDH, OTN and SPN.

[0077] It should be noted that the carrying mode refers to the mode of information transmission in the private line to be surveyed, i.e., the carrier of signal transmission, and different carrying modes require different types of resources to support. In some embodiments, the carrying mode can be used to reflect the resource type; PON (Passive Optical Network) is based on optical fiber transmission technology, and the carrying mode of PON means that the private line is constructed based on PON technology; the private line with the carrying mode of PON can be implemented based on POS (Passive Optical Splitter) and ONU (Optical Network Unit); the private line with the carrying mode of non-PON can be implemented based on PTN (Packet Transport Network), SDH (Synchronous Digital Hierarchy), OTN (Optical Transport Network) and SPN (Synchronous Packet Network).

[0078] Continuing to refer to Table 1, the parameter mapping type, whether to enable, and the calculation rule of each parameter in the survey rule model can be configured by the technician according to the actual survey requirements; based on the parameter name, parameter type, parameter mapping type, whether to enable and calculation rule of each basic parameter, the survey rule model can be constructed.

[0079] In some embodiments, the demand resource of the special line to be surveyed is input into the survey rule model, and a survey rule output by the survey rule model is obtained, including: determining whether a basic parameter in the survey rule model is enabled according to the demand resource of the special line to be surveyed; selecting the enabled basic parameter as a target parameter, and determining a parameter mapping type of the target parameter; wherein the parameter mapping type includes a fixed value, a single value or a condition calculation value; determining a corresponding calculation rule based on the parameter mapping type of the target parameter; and obtaining the survey rule based on the target parameter, the parameter mapping type of the target parameter and the corresponding calculation rule.

[0080] Specifically, according to the demand resource of the special line to be surveyed, it is determined whether a basic parameter in the survey rule model is enabled. The survey rule model includes all basic parameters, but not all parameters need to be used for the special line to be surveyed. For example, the parameters of the survey rule model can include the type of router, server provider, broadband, standard address, network interface quantity, etc., but the special line to be surveyed can only require broadband, and then the parameter broadband can be set as enabled, and other parameters can be set as not enabled.

[0081] Further, the enabled basic parameter is selected as the target parameter, and the parameter mapping type of the target parameter is determined; wherein the parameter mapping type includes a fixed value, a single value or a condition calculation value.

[0082] It should be noted that the fixed value means that the parameter of all special lines is a preset fixed value; the single value means that the parameter of different special lines is determined by the characteristics of the special line itself, and the parameter of different special lines can be inconsistent; and the condition calculation value means that the parameter needs to be obtained by condition calculation according to multiple data of the special line.

[0083] Further, the corresponding calculation rule is determined based on the parameter mapping type of the target parameter; and the survey rule is obtained based on the target parameter, the parameter mapping type of the target parameter and the corresponding calculation rule.

[0084] In some embodiments, the demand resources of the special line to be surveyed are input into the survey rule model to obtain the survey rule output by the survey rule model, including: inputting the demand resources of the special line to be surveyed into the survey rule model to obtain the first survey rule and the second survey rule output by the survey rule model, wherein the priority of the first survey rule is higher than the priority of the second survey rule; the first survey rule and the second survey rule are different; determining the target value of each target parameter according to the parameter mapping type and the calculation rule, matching the target value of each target parameter with the resource characteristic data of the corresponding parameter name in the database to obtain a matching result; obtaining the resource survey result of the special line to be surveyed based on the matching result, including: determining the first target value of each target parameter according to the first parameter mapping type and the first calculation rule; wherein each target parameter of the first survey rule includes the first parameter name, the first parameter mapping type and the first calculation rule; matching the first target value with the resource characteristic data of the corresponding first parameter name in the database to obtain a first matching result; if the first target value matches the resource characteristic data of the corresponding first parameter name in the database, obtaining the resource survey result of the special line to be surveyed based on the first matching result; if the first target value does not match the resource characteristic data of the corresponding first parameter name in the database, obtaining a second matching result through the second survey rule, and obtaining the resource survey result of the special line to be surveyed based on the second matching result.

[0085] Specifically, the demand resources of the special line to be surveyed are input into the survey rule model to obtain the first survey rule and the second survey rule output by the survey rule model, and the first survey rule and the second survey rule are different; wherein the priority of the first survey rule is higher than the priority of the second survey rule.

[0086] For a special line to be surveyed, it can be constructed in different ways, for example, a certain special line to be surveyed has requirements for the maximum data volume of single transmission, it can be constructed by using equipment with large single transmission data volume, or it can be constructed by using a combination of multiple equipment with small single transmission data volume, the required equipment resources of the two construction methods are different, then the survey rule model can customize two different survey rules according to the above two construction methods.

[0087] Further, different survey rules can be sorted by setting priority. Different construction methods have their own advantages and disadvantages, and need to be selected according to specific application scenarios. Those skilled in the art can adjust the priority of different survey rules according to actual survey needs.

[0088] Further, the target value of each target parameter is determined according to the parameter mapping type and the calculation rule, and the target value of each target parameter is matched with the resource characteristic data of the corresponding parameter name in the database to obtain a matching result.

[0089] Specifically, after determining the target value of each target parameter according to the parameter mapping type and the calculation rule, the resource characteristic data corresponding to the parameter name is obtained from the database, and the target value of each target parameter is matched with the resource characteristic data corresponding to the parameter name in the database to obtain the matching result of each target parameter respectively.

[0090] Further, the first target value of each target parameter is determined according to the first parameter mapping type and the first calculation rule; wherein each target parameter of the first exploration rule comprises a first parameter name, a first parameter mapping type and a first calculation rule; the first target value is matched with the resource characteristic data corresponding to the first parameter name in the database to obtain a first matching result; if the first target value matches the resource characteristic data corresponding to the first parameter name in the database, the resource exploration result of the to-be-explored special line is obtained based on the first matching result; if the first target value does not match the resource characteristic data corresponding to the first parameter name in the database, a second matching result is obtained through a second exploration rule, and the resource exploration result of the to-be-explored special line is obtained based on the second matching result.

[0091] Please refer to Figure 3 , Figure 3 is a flowchart of the exploration rule execution of the present application.

[0092] Specifically, if the to-be-explored special line corresponds to multiple exploration rules, different priorities can be set for each rule. When performing resource exploration, each exploration rule is executed in turn according to the priority order, if the matching result of the current exploration rule is resource matching success, the resource exploration result of the to-be-explored special line is that the existing special line resources of the target area meet the demand of special line construction, and the remaining exploration rules are not executed; if the matching result of the current exploration rule is resource matching failure, it is judged whether there are remaining exploration rules with priority, if yes, the execution continues, if not, the matching result of the current exploration rule is returned.

[0093] For example, a to-be-explored special line corresponds to three exploration rules, which are respectively recorded as rule 1, rule 2 and rule 3, wherein the priority of rule 1 is the highest, the priority of rule 2 is lower than that of rule 1, and the priority of rule 3 is lower than that of rule 2. When performing resource exploration, rule 1 is executed first, if the matching result of rule 1 is resource matching success, the matching result of rule 1 is returned, and rule 2 and rule 3 are not executed; if the matching result of rule 1 is resource matching failure, rule 2 is executed, if the matching result of rule 2 is resource matching success, the matching result of rule 2 is returned, and rule 3 is not executed; if the matching results of rule 1 and rule 2 are both resource matching failure, rule 3 is executed, if the matching result of rule 3 is resource matching success, the matching result of rule 3 is returned; if the matching results of rule 1, rule 2 and rule 3 are all resource matching failure, the matching result returned is resource matching failure.

[0094] When the matching result is a resource matching success, it indicates that the existing dedicated line resources in the target region meet the demand of the dedicated line construction; when the matching result is a resource matching failure, it indicates that the existing dedicated line resources in the target region do not meet the demand of the dedicated line construction.

[0095] In some embodiments, the demand resources of the to-be-investigated dedicated line are input into the investigation rule model to obtain the investigation rule output by the investigation rule model, including: inputting the first demand resource of the first to-be-investigated dedicated line into the investigation rule model to obtain the third investigation rule output by the investigation rule model; inputting the second demand resource of the second to-be-investigated dedicated line into the investigation rule model to obtain the fourth investigation rule output by the investigation rule model; wherein the third investigation rule and the fourth investigation rule are different.

[0096] In actual dedicated line construction scenarios, it is often necessary to investigate the resources of multiple dedicated lines at the same time. If different dedicated lines are investigated one by one by manual work, the cost is high, the speed is slow, and the period is long. Therefore, implementing parallel investigation processing of multiple dedicated lines can significantly improve the efficiency of dedicated line investigation, reduce the investigation cost, and shorten the investigation period.

[0097] Optionally, the demand resources of different to-be-investigated dedicated lines are input into the investigation rule model, the investigation rules corresponding to the different to-be-investigated dedicated lines can be obtained at the same time, and the different to-be-investigated dedicated lines and the corresponding investigation rules are bound, so as to realize parallel investigation processing of different to-be-investigated dedicated lines.

[0098] In some embodiments, before matching the target value of each target parameter with the resource feature data of the corresponding parameter name in the database, the method further includes: obtaining the communication resources of the current region; performing feature extraction on the communication resources to obtain resource feature data, wherein each parameter in the resource feature data includes a parameter name and a collection value; establishing a collection data model according to the resource feature data, and storing the collection data model into the database.

[0099] Before resource investigation, it is necessary to determine the resource situation available for dedicated line construction, so it is necessary to collect all the existing resource data of each region (such as target provinces, target prefecture-level cities, target districts, counties, etc.), including the distribution of sites and machine rooms in each region, the types and quantities of transmission equipment and ports, the parameters of optical distribution fiber boxes, optical transceivers, routers and switches, etc. After completing data collection, the collected resource data can be preprocessed, such as cleaning, filtering, deduplication and standardization processing, for subsequent analysis and feature extraction.

[0100] Further, after the communication resource data of the target area is preprocessed, feature selection algorithm can be used to extract feature data related to the survey, such as standard address, coverage latitude and longitude and coverage range, coverage access mode, coverage state, coverage device type, coverage device name and ID, coverage device idle port quantity, bandwidth, etc., and the extracted resource feature data is stored in the database.

[0101] Preferably, a model can be established based on the extracted resource feature data, which is used to regulate the type and storage mode of the resource feature data, etc., the resource feature data contained in the model is stored in the database as the data source for subsequent resource survey, and the parameters in the model correspond to the parameter name, parameter type, parameter mapping type, etc. of the target parameters in the survey rule model, so as to facilitate data matching. For example, the resource feature data stored in the database includes the parameter access radius, the parameter type of the access radius is integer (i.e. data without decimal part), and the parameter mapping type is fixed value, then the parameter type of the parameter access radius in the survey rule model is also integer, and the parameter mapping type is also fixed value.

[0102] Please refer to Figure 4 , Figure 4 is a flowchart of the private line resource survey method provided by the application. In this embodiment, the private line resource survey method specifically includes steps 410 to 440, and each step is specifically as follows:

[0103] Step 410: Obtain the communication resource data of the current area, and perform cleaning, filtering, deduplication and standardization processing on the data.

[0104] Specifically, the existing resource data of each area (such as target province, target prefecture-level city, target district, county, etc.) is collected in full, including the distribution of sites, machine rooms, PTN resources, OTN resources, MSTP (Multi-Protocol Label Switching Transport Profile) resources, OLT (Optical Line Terminal) devices, etc. in each area. ， Step 420: Extract feature data related to the survey by feature selection algorithm, and store the extracted resource feature data in the database.

[0105] Step 420: Extract feature data related to the survey by feature selection algorithm, and store the extracted resource feature data in the database.

[0106] The feature data can include standard address, coverage latitude and longitude and coverage range, coverage access mode, coverage state, coverage device type, coverage device name and ID, coverage device idle port quantity, bandwidth, etc., and the extracted resource feature data is modeled and stored in the database.

[0107] Step 430: determining basic parameters according to the extracted resource feature data, constructing a survey rule model, and generating survey rules of different to-be-surveyed private lines by using the survey rule model.

[0108] Please refer to Figure 5 , Figure 5 is a flowchart of the automatic survey rule customization method provided by the application, and in the embodiment, the automatic survey rule customization method specifically includes steps 510 to 530, and each step is specifically as follows:

[0109] Step 510: determining basic parameters according to the extracted resource feature data, and automatically constructing a survey rule model.

[0110] Step 520: inputting the required resources of different to-be-surveyed private lines into the survey rule model to obtain the survey rules corresponding to the different to-be-surveyed private lines.

[0111] Step 530: binding the different to-be-surveyed private lines and the corresponding survey rules.

[0112] Through the above steps, the customization of the survey rules can be realized.

[0113] Step 440: executing the survey rules generated by the survey rule model.

[0114] Specifically, the survey rules of different to-be-surveyed private lines can be executed in parallel, the resource survey results of each to-be-surveyed private line are obtained, and the resource survey results are output.

[0115] The application further provides one specific example of a private line resource survey method.

[0116] Please refer to Figure 6 , Figure 6 is a flowchart of the survey rule model construction method provided by the application, and in the embodiment, it is assumed that there are three to-be-surveyed private lines, which are denoted as private line A, private line B and private line C. Among them, the private line A can be constructed in two ways, the first construction way has requirements for standard address and resource type, and the second construction way has requirements for longitude and latitude, access radius and resource type; the private line B is constructed in one way and has requirements for standard address and business guarantee level; and the private line C is constructed in one way and has requirements for longitude and latitude, access radius and bandwidth.

[0117] The basic parameters of the model can be determined according to the construction requirements of the three to-be-surveyed private lines. Specifically, the intersection of the parameter types of the three to-be-surveyed private lines can obtain the basic parameters of the model: standard address, resource type, business guarantee level, bandwidth, longitude and latitude, and access radius.

[0118] Further, based on the parameter name, parameter type, parameter mapping type, whether to enable and calculation rule of each basic parameter, a survey rule model is constructed. In the survey rule model, refer to Table 1.

[0119] It should be noted that the above is only an example of a survey rule model construction method. In actual application scenarios, the construction requirements of the to-be-surveyed private line, the basic parameters of the model and other data also include other types. Technical personnel can establish different survey rule models according to actual needs, and the present embodiment does not limit this.

[0120] Further, under the premise of having the survey rule model, three conditions of parameter mapping type, whether to enable and calculation rule are set to create specific rules.

[0121] Specifically, for the requirements of private line A, two corresponding survey rules can be determined.

[0122] Please refer to Table 3, which is the first survey rule of private line A in the survey rule model.

[0123]

[0124]

[0125] Table 3

[0126] The first survey rule of private line A corresponds to the first construction method of private line A. In this rule, only two parameters of standard address and resource type are enabled. In this embodiment, the resource type can be determined according to the private line resource type.

[0127] Please refer to Table 4, which is the second survey rule of private line A in the survey rule model.

[0128]

[0129]

[0130] Table 4

[0131] The second survey rule of private line A corresponds to the second construction method of private line A. In this rule, only four parameters of longitude, latitude, access radius and resource type are enabled. In this embodiment, the resource type can be determined according to the business guarantee level. This embodiment assumes that the business guarantee level can be divided into level one, level two and level three. The higher the level, the better the stability of the network and the higher the data transmission efficiency. Different business guarantee levels require different resource types.

[0132] Please refer to Table 5, which is the survey rule of private line B in the survey rule model.

[0133]

[0134]

[0135] Table 5

[0136] The survey rule of the private line B corresponds to the construction mode of the private line B. In the rule, only the standard address and the service guarantee level are enabled.

[0137] Please refer to Table 6, which is the survey rule of the private line C in the survey rule model.

[0138]

[0139] Table 6

[0140] The survey rule of the private line C corresponds to the construction mode of the private line C. In the rule, only the longitude, the latitude, the access radius and the broadband are enabled.

[0141] Further, after the specific survey rule is created, the survey rule is bound to the corresponding private line.

[0142] Since the private line A is bound to two survey rules, the corresponding priority of the two survey rules bound to the private line A can be set, for example, the priority of the first survey rule of the private line A is set to be higher than that of the second survey rule of the private line A.

[0143] Optionally, after the specific survey rule is created, the corresponding test data can be configured for each survey rule, which is used to verify whether the rule configuration is correct.

[0144] Further, when the private line to be surveyed triggers the automatic survey function, all the survey rules bound to the private line can be queried and obtained first, and then sorted according to the priority, and then each rule is executed in turn, if the survey rule with high priority can successfully match the corresponding resource, the survey rule with low priority will not be executed.

[0145] Further, the resource survey result of the private line to be surveyed is obtained according to the result of the survey rule execution.

[0146] The private line resource survey device provided by the application is described below, and the private line resource survey device described below can be correspondingly referred to the private line resource survey method described above.

[0147] Please refer to Figure 7 , Figure 7 is a structural schematic diagram of the private line resource survey device of the application.

[0148] In the embodiment, the dedicated line resource exploration device comprises an exploration rule module 710, a target value module 720, a matching result module 730 and a resource exploration module 740.

[0149] The exploration rule module 710 is configured to input the required resource of the dedicated line to be explored into an exploration rule model to obtain an exploration rule output by the exploration rule model; wherein the exploration rule comprises exploration of at least one target parameter, and each target parameter comprises a parameter name, a parameter mapping type and a calculation rule.

[0150] The target value module 720 is configured to determine a target value of each target parameter according to the parameter mapping type and the calculation rule.

[0151] The matching result module 730 is configured to match the target value of each target parameter with resource characteristic data of a corresponding parameter name in a database to obtain a matching result; wherein the resource characteristic data stored in the database is obtained by characteristic extraction on a communication resource of a target area.

[0152] The resource exploration module 740 is configured to obtain a resource exploration result of the dedicated line to be explored based on the matching result.

[0153] The application further provides an electronic device, please refer to Figure 8 , Figure 8 is a structural schematic diagram of the electronic device provided by the application. In the embodiment, the electronic device can comprise a processor (memory) 810, a memory (processor) 820 and a computer program stored in the memory 820 and executable on the processor 810. The processor 810 implements the dedicated line resource exploration method provided by the above-mentioned methods when executing the program.

[0154] Optionally, the electronic device can further include a communication bus 830 and a communications interface 840, wherein the processor 810, the communications interface 840, and the memory 820 can complete mutual communication through the communication bus 830. The processor 810 can invoke the logic instructions in the memory 820 to execute the private line resource exploration method, which includes: inputting the demand resource of the private line to be explored into an exploration rule model to obtain an exploration rule output by the exploration rule model; wherein the exploration rule model includes a corresponding relationship between the demand resource and a target parameter; the exploration rule includes at least one target parameter, and each target parameter includes a parameter name, a parameter mapping type, and a calculation rule; the target value of each target parameter is determined according to the parameter mapping type and the calculation rule; the target value of each target parameter is matched with the resource characteristic data of the corresponding parameter name in the database to obtain a matching result; wherein the resource characteristic data stored in the database is obtained by feature extraction on the communication resources of the target area; and the resource exploration result of the private line to be explored is obtained based on the matching result.

[0155] In addition, the logic instructions in the memory 820 described above can be implemented in the form of a software functional unit and sold or used as an independent product, and can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0156] The present application also provides a non-transitory computer readable storage medium having a computer program stored thereon, which is executed by a processor to implement the private line resource exploration method provided by the above method, the steps and principles of which have been described in detail in the above method and will not be repeated here.

[0157] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed to multiple network units. Part or all of the modules can be selected to achieve the purposes of the embodiments according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0158] Through the description of the above embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and necessary universal hardware platforms, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of software products, and the computer software products can be stored in a computer readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and include a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

[0159] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method of dedicated resource surveying, characterized by, The method comprises the following steps: inputting the demand resource of the special line to be surveyed into a survey rule model to obtain a survey rule output by the survey rule model; the survey rule model comprises a corresponding relationship between a demand resource and a target parameter; the survey rule comprises at least one target parameter, and each target parameter comprises a parameter name, a parameter mapping type and a calculation rule; determining a target value of each target parameter according to the parameter mapping type and the calculation rule; matching the target value of each target parameter with resource characteristic data corresponding to the parameter name in a database to obtain a matching result; the resource characteristic data stored in the database is obtained by performing feature extraction on a communication resource in a target area; obtaining a resource survey result of the special line to be surveyed based on the matching result; Before the step of inputting the demand resource of the special line to be surveyed into the survey rule model, the method further comprises the following steps: determining basic parameters according to the demand resource of a historical special line, wherein each basic parameter comprises a parameter name, a parameter type, a parameter mapping type, whether to be enabled and a calculation rule; the basic parameters are determined by a feature extraction algorithm; constructing the survey rule model based on the parameter name, the parameter type, the parameter mapping type, whether to be enabled and the calculation rule of each basic parameter; The step of inputting the demand resource of the special line to be surveyed into the survey rule model to obtain the survey rule output by the survey rule model comprises the following steps: determining whether the basic parameters in the survey rule model are enabled according to the demand resource of the special line to be surveyed; selecting the enabled basic parameters as the target parameters and determining the parameter mapping type of the target parameters; the parameter mapping type comprises a fixed value, a single value or a condition calculation value; determining the corresponding calculation rule based on the parameter mapping type of the target parameters; obtaining the survey rule based on the target parameters, the parameter mapping type of the target parameters and the corresponding calculation rule.

2. The method of claim 1, wherein, The step of inputting the demand resource of the special line to be surveyed into the survey rule model to obtain the survey rule output by the survey rule model comprises the following steps: inputting the demand resource of the special line to be surveyed into the survey rule model to obtain a first survey rule and a second survey rule output by the survey rule model, wherein the priority of the first survey rule is higher than that of the second survey rule; the first survey rule and the second survey rule are different; The steps of determining the target value of each target parameter according to the parameter mapping type and the calculation rule, matching the target value of each target parameter with resource characteristic data corresponding to the parameter name in a database to obtain a matching result, and obtaining a resource survey result of the special line to be surveyed based on the matching result comprise the following steps: determining a first target value of each target parameter according to a first parameter mapping type and a first calculation rule; each target parameter of the first survey rule comprises a first parameter name, a first parameter mapping type and a first calculation rule; matching the first target value with resource characteristic data corresponding to the first parameter name in the database to obtain a first matching result; If the first target value matches the resource characteristic data corresponding to the first parameter name in the database, a resource exploration result of the special line to be explored is obtained based on the first matching result; If the first target value does not match the resource characteristic data corresponding to the first parameter name in the database, a second matching result is obtained through the second exploration rule, and a resource exploration result of the special line to be explored is obtained based on the second matching result.

3. The method of claim 1, wherein, The method further includes: The method further includes: The method further includes: The third exploration rule and the fourth exploration rule are different.

4. The method of claim 1, wherein, Before the matching of the target value of each target parameter with the resource characteristic data corresponding to the parameter name in the database, the method further includes: The method further includes: The target parameters include at least one of a standard address, a resource type, a service guarantee level, a broadband, a longitude and latitude, and an access radius. The method further includes:

5. The method of claim 1, wherein, An exploration rule module is configured to input the demand resource of the special line to be explored into an exploration rule model to obtain an exploration rule output by the exploration rule model; the exploration rule includes at least one target parameter, and each target parameter includes a parameter name, a parameter mapping type, and a calculation rule.

6. A dedicated resource surveying apparatus characterized by comprising: A target value module is configured to determine a target value of each target parameter according to the parameter mapping type and the calculation rule. A matching result module is configured to match the target value of each target parameter with resource characteristic data corresponding to the parameter name in a database to obtain a matching result; the resource characteristic data stored in the database is obtained by performing feature extraction on a communication resource of a target region. A resource exploration module is configured to obtain a resource exploration result of the special line to be explored based on the matching result. Before the input of the demand resource of the special line to be explored into the exploration rule model, the method further includes: Basic parameters are determined according to demand resources of historical special lines; each basic parameter includes a parameter name, a parameter type, a parameter mapping type, whether to be enabled, and a calculation rule; the basic parameters are determined by a feature extraction algorithm. The exploration rule model is constructed based on the parameter name, the parameter type, the parameter mapping type, whether to be enabled, and the calculation rule of each basic parameter. The method further includes: It is determined whether a basic parameter in the exploration rule model is enabled according to the demand resource of the special line to be explored. ​ ​ The basic parameter enabled is selected as the target parameter, and a parameter mapping type of the target parameter is determined; wherein the parameter mapping type comprises a fixed value, a single value or a condition calculation value; A corresponding calculation rule is determined based on the parameter mapping type of the target parameter; The exploration rule is obtained based on the target parameter, the parameter mapping type of the target parameter and the corresponding calculation rule.

7. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor implements the private line resource exploration method of any one of claims 1 to 5 when executing the program.

8. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program implements the private line resource exploration method of any one of claims 1 to 5 when executed by the processor.

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