CN114640606A - Abnormity processing method and controller for Internet of things card terminal - Google Patents
Abnormity processing method and controller for Internet of things card terminal Download PDFInfo
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- H04L43/00—Arrangements for monitoring or testing data switching networks
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- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
Abstract
The invention provides an exception handling method and a controller for an Internet of things card terminal, wherein the method comprises the following steps: acquiring entity information of a target Internet of things card terminal, wherein the entity information comprises: service scenario and lifecycle state; determining a target detection model and a target characteristic behavior index set corresponding to a target Internet of things card terminal according to entity information of the target Internet of things card terminal; and inputting the target characteristic behavior index set into a target detection model to obtain a recognition result output by the target detection model. According to the method and the device, the service scene and the life cycle state of the Internet of things card terminal are combined, the corresponding characteristic behavior index set and the detection model are obtained, the identification detection can be performed according to the Internet of things card terminal under the specific service scene and the life cycle state in a targeted manner, the condition that the obvious characteristic behaviors of the Internet of things card terminal under the same service scene due to different life cycle states are judged to be abnormal behaviors by mistake can be effectively avoided, and the accuracy of the detection result is improved.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to an exception handling method and a controller for an Internet of things network card terminal.
Background
The Internet of things card is a mobile phone card which is provided for clients in the field of Internet of things and is used for mobile communication access service of Internet of things equipment, and supports communication modes such as short messages, data communication, voice and the like. It is particularly concerned that the life cycle of a conventional product in the vertical industry scheme of the internet of things has multiple links of production and manufacturing, sample testing, sales circulation, formal use, product sealing, product scrapping and the like, and a terminal product has a great difference in service demand and use behavior of mobile communication in each link of the life cycle: for example, in a test stage, the internet of things card associated with the terminal device only needs a small package fee to meet a communication test with the access platform, and at this time, the internet access behavior of the terminal device does not have typical industrial characteristics due to human operation, and in addition, a normal machine-card separation operation or a normal position change behavior can be usually generated in the test process; after entering a sales circulation stage, the terminal equipment is generally sold and transported to each area through various channels to be put into use, and at the moment, the terminal equipment generates normal position change and does not have business communication requirements before formal use; after entering a formal use stage, terminal equipment in a normal use state generally shows typical industry communication characteristics, for example, behavioral characteristics such as high flow, high displacement, low machine-card separation and the like exist in a car networking industry scene, and behavioral characteristics such as fixed internet surfing time period, low flow, small displacement, low machine-card separation and the like exist in a smart meter industry scene. Therefore, even for terminal devices in the same industry application scenario, communication behaviors of the terminal devices have larger differences due to different life cycles of the terminal devices, and terminals of the internet of things in the same life cycle state of the same industry application scenario generally have similar behavior characteristics. On the other hand, in order to meet different requirements of terminal equipment on service communication in each life cycle of products in the field of the internet of things industry to the maximum extent, at present, each operator of the internet of things network correspondingly formulates the life cycle state of the internet of things network card when providing communication service, the internet of things network card has a specific tariff package or communication service meeting the terminal equipment in different states, and an industry client can set the life cycle state of the associated internet of things network card to be a corresponding state according to the life cycle of the terminal product so as to meet the communication requirements of the terminal product.
By the way, the scale of users of the national Internet of things network card reaches billions at present, and the scale development also leads to the increase of illegal behaviors of the users of the Internet of things network card and the increase of control difficulty while gradually forming the industrial ecology of 'big connection'. Because the price discount of the internet of things card package is strong and the control means is weak, the internet of things card package is often illegally re-sold for a second time and abused on non-internet of things services, and in addition, the internet of things card terminal equipment is usually unattended and is extremely easy to illegally take out, a riding opportunity is provided for illegal criminals, and the internet of things card is used or even maliciously used for telecommunication network fraud. Therefore, the anomaly detection and processing management and control of the internet of things card also become difficult and pain points to be solved urgently by each internet of things client and telecommunication operator.
Disclosure of Invention
The technical purpose to be achieved by the embodiments of the present invention is to provide an abnormality processing method and a controller for an internet of things card terminal, so as to solve the problem that the accuracy of abnormality detection of the current internet of things card terminal is low.
In order to solve the above technical problem, an embodiment of the present invention provides an exception handling method for an internet of things card terminal, including:
acquiring entity information of a target Internet of things card terminal, wherein the entity information comprises: service scenario and lifecycle state;
determining a target detection model corresponding to the target Internet of things card terminal and a target characteristic behavior index set corresponding to the target Internet of things card terminal according to the entity information of the target Internet of things card terminal;
and inputting the target characteristic behavior index set into a target detection model to obtain a recognition result output by the target detection model.
Preferably, the above-mentioned exception handling method, according to the entity information of the target internet protocol card terminal, determining a target detection model corresponding to the target internet protocol card terminal and a target characteristic behavior index set corresponding to the target internet protocol card terminal, further includes:
acquiring target behavior information of a target Internet of things card terminal and a mapping relation among pre-established entity information, a characteristic behavior index set and a detection model;
and determining a target detection model according to the entity information and the mapping relation of the target Internet of things card terminal and extracting the characteristics of the target behavior data to obtain a target characteristic behavior index set.
Specifically, in the above exception handling method, before the step of obtaining the target behavior information of the target internet of things card terminal and the mapping relationship among the entity information, the characteristic behavior index set, and the detection model, the exception handling method further includes:
acquiring behavior data of all internet of things card terminals under preset entity information;
performing feature extraction on the behavior data to obtain a feature behavior index set corresponding to preset entity information, and establishing a first mapping relation between the entity information and the feature behavior index set;
taking a characteristic behavior index set corresponding to preset entity information as sample data, performing training learning by adopting an automatic machine learning algorithm, and establishing a classification detection model corresponding to the preset entity information;
and establishing a mapping relation among the entity information, the characteristic behavior index set and the detection model according to preset entity information, the characteristic behavior index set and the classification detection model.
Preferably, the exception handling method described above further includes:
and when the identification result is that the target Internet of things card terminal is in an abnormal state, managing and controlling the target Internet of things card terminal.
Specifically, in the above exception handling method, when the identification result indicates that the target internet of things card terminal is an exception state internet of things card terminal, the step of performing management and control processing on the target internet of things card terminal includes:
acquiring target basic attribute information of a target Internet of things card terminal;
determining whether a preset automatic processing rule corresponding to the target Internet of things network card terminal exists or not according to the target basic attribute information;
when the preset automatic processing rule is determined, processing operation is carried out according to the preset automatic processing rule, and a processing result is obtained;
and taking the target basic attribute information, the target characteristic behavior index set and the processing result corresponding to the target Internet of things card terminal as target auditing data, and storing the target auditing data in an auditing database.
Optionally, after determining whether there is a corresponding preset automatic processing rule according to the target basic attribute information, the exception handling method further includes:
and when the automatic processing rule is determined not to exist, the target basic attribute information and the target characteristic behavior index set are used as target auditing data and are stored in an auditing base.
Further, according to the above exception handling method, after the target audit data is stored in the audit library, the exception handling method further includes:
auditing the target audit data and obtaining a target audit result;
and outputting prompt information corresponding to the target audit result according to the target audit result.
Preferably, in the above exception handling method, the step of auditing the target audit data and obtaining the target audit result includes:
judging whether a historical audit record which is the same as the current target audit data exists in the target Internet of things card terminal within preset time;
if the historical audit record exists, determining the historical audit result in the historical audit record as a target audit result;
and if no historical audit record exists, sending the audit record to a manual audit end, and taking the received manual audit result as a target audit result.
Specifically, according to the above exception handling method, the step of executing the processing operation corresponding to the target audit result according to the target audit result includes:
when the target auditing result is that illegal violation behaviors exist in the target Internet of things card terminal, judging whether a processing result exists or not, if the processing result does not exist, outputting first information for executing the processing operation, or if the processing result exists, outputting second information for executing the processing operation;
and when the target auditing result is that illegal violation does not exist in the target Internet of things card terminal, judging whether a processing result exists or not, if the processing result does not exist, outputting third information of legal behavior, or if the processing result exists, outputting fourth information for recovering the original service.
Still another preferred embodiment of the present invention also provides a controller including:
the first acquisition module is used for acquiring entity information of a target Internet of things card terminal, wherein the entity information comprises: service scenario and lifecycle state;
the first processing module is used for determining a target detection model corresponding to the target Internet of things card terminal and a target characteristic behavior index set corresponding to the target Internet of things card terminal according to the entity information of the target Internet of things card terminal;
and the second processing module is used for inputting the target characteristic behavior index set into the target detection model to obtain the recognition result output by the target detection model.
Preferably, the controller, the first processing module, as described above, includes:
the first acquisition unit is used for acquiring target behavior information of a target Internet of things card terminal and a mapping relation among pre-established entity information, a characteristic behavior index set and a detection model;
and the first processing unit is used for determining a target detection model according to the entity information and the mapping relation of the target Internet of things card terminal and extracting the characteristics of the target behavior data to obtain a target characteristic behavior index set.
Specifically, as the controller described above, the controller further includes:
the second acquisition module is used for acquiring the behavior data of all the internet of things card terminals under the preset entity information;
the third processing module is used for extracting the characteristics of the behavior data to obtain a characteristic behavior index set corresponding to preset entity information and establishing a first mapping relation between the entity information and the characteristic behavior index set;
the fourth processing module is used for training and learning by adopting an automatic machine learning algorithm by taking the characteristic behavior index set corresponding to the preset entity information as sample data and establishing a classification detection model corresponding to the preset entity information;
and the fifth processing module is used for establishing a mapping relation among the entity information, the characteristic behavior index set and the detection model according to the preset entity information, the characteristic behavior index set and the classification detection model.
Preferably, as the controller described above, the controller further includes:
and the sixth processing module is used for controlling and processing the target Internet of things card terminal when the identification result shows that the target Internet of things card terminal is in an abnormal state.
Specifically, the controller, the sixth processing module, as described above, includes:
the second acquisition unit is used for acquiring the target basic attribute information of the target Internet of things card terminal;
the second processing unit is used for determining whether a preset automatic processing rule corresponding to the target Internet of things network card terminal exists or not according to the target basic attribute information;
the third processing unit is used for carrying out processing operation according to the preset automatic processing rule when the preset automatic processing rule is determined to exist, and obtaining a processing result;
and the fourth processing unit is used for taking the target basic attribute information, the target characteristic behavior index set and the processing result corresponding to the target Internet of things card terminal as target auditing data and storing the target basic attribute information, the target characteristic behavior index set and the processing result into an auditing base.
Optionally, the controller as described above, further comprising:
and the fifth processing unit is used for taking the target basic attribute information and the target characteristic behavior index set as target auditing data and storing the target basic attribute information and the target characteristic behavior index set into an auditing base when the automatic processing rule is determined not to exist.
Further, the controller as described above, further comprising:
the sixth processing unit is used for auditing the target auditing data and obtaining a target auditing result;
and the seventh processing unit is used for outputting prompt information corresponding to the target auditing result according to the target auditing result.
Preferably, as the controller described above, the sixth processing unit includes:
the first sub-processing unit is used for judging whether a historical audit record which is the same as the current target audit data exists in the target Internet of things network card terminal within preset time;
the second sub-processing unit is used for determining a historical audit result in the historical audit record as a target audit result if the historical audit record exists;
and the third sub-processing unit is used for sending the result to the manual auditing end if no historical auditing record exists, and taking the received manual auditing result as a target auditing result.
Specifically, as the controller described above, the seventh processing unit includes:
the fourth sub-processing unit is used for judging whether a processing result exists or not when the target auditing result is that illegal violation behaviors exist in the target Internet of things network card terminal, and outputting first information for executing the processing operation if the processing result does not exist, or outputting second information for executing the processing operation if the processing result exists;
and the fifth sub-processing unit is used for judging whether a processing result exists or not when the target auditing result is that illegal violation does not exist in the target Internet of things card terminal, and outputting third information of legal behavior if the processing result does not exist, or outputting fourth information for recovering the original service if the processing result exists.
Still another preferred embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the method for handling an exception of the internet of things card terminal as described above.
Compared with the prior art, the exception handling method and the controller for the internet of things card terminal provided by the embodiment of the invention at least have the following beneficial effects:
according to the invention, by combining the service scene and the life cycle state of the Internet of things card terminal and acquiring the corresponding characteristic behavior index and the detection model, the problem that the Internet of things card terminal has obvious characteristic behavior difference due to different life cycle states in the same service scene commonly existing in practical application can be identified and detected according to the Internet of things card terminal in a specific service scene and a life cycle state, so that the normal difference behavior can be effectively prevented from being judged as the abnormal behavior by mistake, and the accuracy of the detection result is improved.
Drawings
Fig. 1 is one of the flow diagrams of the exception handling method for the internet of things card terminal according to the present invention;
fig. 2 is a second schematic flow chart of the exception handling method for the internet of things card terminal according to the present invention;
fig. 3 is a third schematic flow chart of the exception handling method for the internet of things card terminal according to the present invention;
fig. 4 is a fourth schematic flow chart of the method for processing the abnormality of the internet of things card terminal according to the present invention;
fig. 5 is a fifth flowchart illustrating an exception handling method for the internet of things card terminal according to the present invention;
fig. 6 is a schematic structural diagram of the controller of the present invention.
Detailed Description
To make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments. In the following description, specific details such as specific configurations and components are provided only to help the full understanding of the embodiments of the present invention. Thus, it will be apparent to those skilled in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the invention. In addition, descriptions of well-known functions and constructions are omitted for clarity and conciseness.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
In various embodiments of the present invention, it should be understood that the sequence numbers of the following processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
It should be understood that the term "and/or" herein is merely one type of association relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
In the embodiments provided herein, it should be understood that "B corresponding to a" means that B is associated with a from which B can be determined. It should also be understood that determining B from a does not mean determining B from a alone, but may be determined from a and/or other information.
Referring to fig. 1, a preferred embodiment of the present invention provides an exception handling method for an internet of things card terminal, including:
step S101, acquiring entity information of a target Internet of things card terminal, wherein the entity information comprises: service scenarios and lifecycle states;
step S102, determining a target detection model corresponding to a target Internet of things card terminal and a target characteristic behavior index set corresponding to the target Internet of things card terminal according to entity information of the target Internet of things card terminal;
and step S103, inputting the target characteristic behavior index set into the target detection model to obtain a recognition result output by the target detection model.
The method for processing the abnormality of the internet of things card terminal provided by a specific embodiment of the present invention obtains entity information of a target internet of things card terminal to be detected, where the entity information includes a service scene to which the target internet of things card terminal belongs and a life cycle state of the internet of things card therein. The detection range of the Internet of things network card terminal is limited through the service scene and the life cycle state, so that whether the target Internet of things network card terminal is abnormal at present or not can be judged more accurately. Therefore, a target detection model and a target characteristic behavior index set which correspond to the target Internet of things terminal at present can be determined according to the entity information of the target Internet of things terminal, the method adopted in detection is reasonable and appropriate, and then the current identification result of the target Internet of things terminal can be obtained through the steps of inputting the target characteristic behavior index set of the target Internet of things terminal into the target detection model for analog operation and the like, so that the target Internet of things terminal is determined to be a normal state Internet of things terminal or an abnormal state Internet of things terminal. Namely, the invention combines the service scene and the life cycle state of the Internet of things card terminal and obtains the corresponding characteristic behavior index and the detection model, and can carry out identification detection according to the Internet of things card terminal under the specific service scene and the life cycle state in a targeted way for the problem that the Internet of things card terminal under the same service scene generally has obvious characteristic behavior difference due to different life cycle states in practical application, thereby effectively avoiding the misjudgment of the normal difference behavior as the abnormal behavior and improving the accuracy of the detection result.
It should be noted that: the service scene is an industry field of the internet of things card terminal or a service category of a customer to which the internet of things card terminal belongs, and includes but is not limited to car networking, smart meter, shared bicycle, intelligent wearing, smart logistics and the like, an acquisition mode can be preferably selected and set by an operator customer manager according to an actual application situation when the card is opened, and a specific acquisition mode is not limited herein. The above life cycle states are all card states experienced by the internet of things card in the whole life cycle process from card opening to card selling, and the internet of things card has significant communication behavior differences under different life cycle states, including but not limited to a test state, an inventory state, a circulation state, a normal use state, a card protection state and the like, and the obtaining mode can preferably obtain basic attribute information of the internet of things card from the operation business branch system database, including but not limited to internet of things card identification, home clients, home enterprises, a business scenario, a home area, a current life cycle state, state update time, generation failure time and the like.
Referring to fig. 2, preferably, the above-mentioned exception handling method, according to the entity information of the target internet protocol card terminal, determines a target detection model corresponding to the target internet protocol card terminal and a target characteristic behavior index set corresponding to the target internet protocol card terminal in step S102, further includes:
step S201, acquiring target behavior information of a target Internet of things card terminal and a mapping relation among pre-established entity information, a characteristic behavior index set and a detection model;
step S202, a target detection model is determined according to the entity information and the mapping relation of the target Internet of things card terminal, and the target behavior data are subjected to feature extraction to obtain a target feature behavior index set.
In another preferred embodiment of the present invention, when the step of determining the target detection model and the target characteristic behavior index set according to the entity information in the above embodiment is executed, the target behavior data of the target internet of things card terminal in the current service scene and life cycle state is first obtained from the device, network, and the like related to the target internet of things card terminal, and the mapping relationship among the entity information, the characteristic behavior index set, and the detection model, which are established in advance, is obtained; further, according to the entity information and the mapping relation, the detection model which is used in the current business scene and the life cycle state can be simply and accurately determined and used as the target detection model; and simultaneously extracting a target characteristic behavior index set corresponding to the target Internet of things card terminal from the obtained target behavior data through characteristic engineering. By pre-establishing the characteristic behavior indexes and the detection models corresponding to the current service scene and the life cycle state of the target Internet of things card terminal, the phenomenon that the obvious characteristic behaviors in different life cycle states are mistaken for abnormal behaviors in the same service scene can be effectively avoided, and the detection accuracy is improved.
Referring to fig. 3, specifically, in the above-mentioned exception handling method, before the step S201 of obtaining the target behavior information of the target internet of things card terminal and the mapping relationship among the entity information, the characteristic behavior index set, and the detection model, the exception handling method further includes:
step S301, acquiring behavior data of all Internet of things card terminals under preset entity information;
step S302, extracting characteristics of the behavior data to obtain a characteristic behavior index set corresponding to preset entity information, and establishing a first mapping relation between the entity information and the characteristic behavior index set;
step S303, taking a characteristic behavior index set corresponding to preset entity information as sample data, performing training learning by adopting an automatic machine learning algorithm, and establishing a classification detection model corresponding to the preset entity information;
step S304, according to the preset entity information, the characteristic behavior index set and the classification detection model, establishing a mapping relation among the entity information, the characteristic behavior index set and the detection model.
In another preferred embodiment of the present invention, specific steps of pre-establishing a mapping relationship between the entity information, the characteristic behavior index set, and the detection model are disclosed, which include: and acquiring behavior data of all internet of things card terminals under the preset entity information. Specifically, the preset entity information includes an arbitrary service scene and an arbitrary life cycle state, so that behavior data of all internet of things network card terminals under the preset entity information is acquired, integrity and comprehensiveness of the data under the preset entity information are ensured, and the situation that the behavior data is poor in representativeness due to the fact that the acquired data is too unilateral is avoided. And then extracting, converting and cleaning the behavior data, ensuring the consistency of data acquired from different data sources, further performing feature extraction on the behavior data through feature engineering to obtain a feature behavior index set corresponding to preset entity information, and establishing a first mapping relation between the entity information and the feature behavior index set, so as to be convenient for quickly extracting corresponding feature behaviors from the behavior data according to the entity information. The characteristic behavior index set corresponding to the preset entity information is used as sample data, an automatic machine learning algorithm is adopted for training and learning, and a classification detection model corresponding to the preset entity information is established, so that when the internet of things card terminal under the preset entity information is detected again, the corresponding characteristic behavior index set can be used as an input item and input into the classification detection model to quickly obtain a corresponding identification result, and the efficiency and the accuracy of detection are improved by establishing the classification detection model and performing one-to-one corresponding detection. Furthermore, a mapping relation among the entity information, the characteristic behavior index set and the detection model is established according to preset entity information, the characteristic behavior index set and the classification detection model, and the mapping relation among the entity information, the characteristic behavior index set and the classification detection model can be obtained by executing the operation on each entity information, so that the detection model corresponding to the entity information to be detected can be rapidly confirmed and obtained.
Specifically, the behavior data and the target behavior data include, but are not limited to: the data comprises internet behavior data, service subscription relationship data, ticket data, phone card separation data, physical attributes and the like. Further, the internet access behavior Data may be collected from a P-GW (Public Data Network gateway) Network element of the core Network, where the internet access behavior Data includes: the network access method comprises the following steps of accessing detailed information such as internet traffic, internet position, internet terminal IMEI (International Mobile Equipment Identity), internet QoS (Quality of Service), access address and the like; the service subscription relation data and the call bill data can be collected from the service support system, the service subscription relation data comprises subscription information of various tariff packages of the internet of things card, and the call bill data comprises: actual usage details of traffic, voice, short messages, etc.; the method comprises the steps that machine-card separation data of an internet of things network card terminal can be collected from a core network HLR (Home Location Register) network element; physical attribute information of the internet of things card can be collected from a card maker, and the physical attribute information comprises the following steps: and information such as a patch card, a machine card interlocking card and the like.
In the following, several examples are given of typical behaviors of the internet of things card terminal, specifically according to different service scenarios and different life cycle states.
Example 1, the entity information is a vehicle network scene and a test state stage, at this stage, a product tester may perform data transmission joint debugging on a test internet of things network card terminal and a service platform, and normal card change and machine change test operation is more likely to occur, at this time, the behavior characteristics of the life cycle state are represented by frequent machine and card separation, large uplink flow, an access address being an industry platform website, internet access time being distributed in a working day time range, and the like.
Example 2, the entity information is a vehicle network scene and inventory state stage, the internet of things network card terminal is in warehouse sealing and waiting for selling out of the warehouse, and the behavior characteristics of the life cycle state at this time are represented by inorganic card separation, no online behavior, small position movement and the like.
Example 3, the entity information is a vehicle network scene and a sales circulation state, the internet of things network card terminal is in sealed storage and can be transported to various sales places around the world, and the behavior characteristics of the life cycle state at this time are represented by inorganic card separation, no internet behavior, large position movement and the like.
Example 4, the entity information is a vehicle network scene and a normal use state stage, the internet of things network card terminal normally supports an industry user to open the internet of vehicles service, and machine-card separation occurs less, and at this time, the behavior characteristics of the life cycle state are that machine-card separation is less, uplink flow is large, total amount of package ordering flow is large, position movement is large, internet surfing time is dispersed, and an access address is an industry platform website.
Example 5, in the stage where the entity information is a smart meter scene and a test state, a product tester may perform data transmission joint debugging on a test physical network card terminal and a service platform, and a normal card-changing and machine-changing test operation is more likely to occur, at this time, the behavioral characteristics of the life cycle state are expressed as frequent machine-card separation, small uplink and downlink traffic, possible large displacement, internet surfing time distributed in a working day time range, no industry use characteristics, an access address being an industry platform website, and the like.
Example 6, the entity information is a stage of a smart meter scene and a stock state, the internet of things network card terminal is in warehouse sealing and waiting for selling out of the warehouse, and the behavior characteristics of the life cycle state are represented by inorganic card separation, no online behavior, small position movement and the like.
Example 7, in the stage where the entity information is a smart meter scene and a sales flow state, the internet of things card terminal is in sealed storage and can be transported to various sales places around the world, and at this time, the behavior characteristics of the life cycle state are represented by inorganic card separation, no internet behavior, large position movement, and the like.
In example 8, the entity information is a smart meter scene and in a normal use state stage, the internet of things network card terminal normally supports an industry user to develop a smart meter service, and the behavior characteristics of the life cycle state at this time are that the machine-card separation is small, the uplink and downlink flow is small, the total amount of the ordering sets is small, the position movement is small, the internet surfing time is fixed, the access address is an industry platform website, and the like.
Optionally, the machine learning algorithm described above may be set by a person skilled in the art according to practical situations, including but not limited to k-means clustering algorithm, random forest algorithm, etc., and is not limited herein.
Referring to fig. 1, preferably, the exception handling method as described above, further includes:
and step S104, when the identification result is that the target Internet of things card terminal is in an abnormal state, performing management and control processing on the target Internet of things card terminal.
In a specific example of the present invention, when the target characteristic behavior index set is input to the target detection model and the obtained identification result is that the target internet of things card terminal is an abnormal state internet of things card terminal, in order to avoid the internet of things card from being illegally resold for the second time, being used for non-internet of things services, being used even maliciously for telecommunication network fraud and the like, the target internet of things card terminal is managed and controlled, which includes but is not limited to: issuing alarm, stopping, closing voice function, closing short message function, limiting flow rate, etc.
Referring to fig. 4, specifically, in the above exception handling method, when the identification result indicates that the target internet of things card terminal is an abnormal state internet of things card terminal, the step of performing management and control processing on the target internet of things card terminal includes:
step S401, acquiring target basic attribute information of a target Internet of things card terminal;
step S402, determining whether a preset automatic processing rule corresponding to the target Internet of things card terminal exists or not according to the target basic attribute information;
step S403, when the preset automatic processing rule is determined to exist, processing operation is carried out according to the preset automatic processing rule, and a processing result is obtained;
and S404, taking the target basic attribute information, the target characteristic behavior index set and the processing result corresponding to the target Internet of things card terminal as target auditing data, and storing the target basic attribute information, the target characteristic behavior index set and the processing result into an auditing library.
Referring to fig. 4, optionally, in the above-mentioned exception handling method, after the step S402 of determining whether there is a corresponding preset automatic handling rule according to the target basic attribute information, the exception handling method further includes:
and S405, when the automatic processing rule is determined not to exist, taking the target basic attribute information and the target characteristic behavior index set as target auditing data, and storing the target basic attribute information and the target characteristic behavior index set into an auditing base.
In a preferred embodiment of the present invention, when performing management and control processing on a target internet protocol card terminal whose identification result is in an abnormal state, first, target basic attribute information of the target internet protocol card terminal is obtained, where the target basic attribute information includes, but is not limited to: the method comprises the steps of identifying an Internet of things card, attributing a client, attributing an enterprise, attributing a service scene, attributing an area, a current life cycle state, state updating time, generation and failure time and the like. The client of the target Internet of things card terminal can be judged according to the target basic information, whether a preset automatic processing rule is set under the entity information corresponding to the target Internet of things card terminal or not is judged, namely, the preset automatic processing rule can be set under the entity information appointed by the client according to different requirements of the client, and when the preset processing rule is determined, corresponding processing operation can be carried out according to the preset processing rule, and a processing result is obtained; wherein the processing operations include, but are not limited to: issuing alarm, stopping, closing voice function, closing short message function, limiting flow rate, etc. Further, target basic attribute information, a target characteristic behavior index set and a processing result corresponding to the target Internet of things card terminal are used as target auditing data and stored in an auditing database; and if the target basic attribute information does not have the automatic processing rule, the target basic attribute information and the target characteristic behavior index set are used as target auditing data, and are stored in an auditing library to wait for further manual auditing confirmation of auditors. Whether the target Internet of things card terminal needs to be processed and/or whether the processing result is correct or not is checked conveniently, the accuracy of illegal judgment of the target Internet of things card terminal is guaranteed, the condition of misjudgment is avoided, and the misprocessing condition is remedied in time.
Referring to fig. 5, further, in the exception handling method as described above, after the target audit data is stored in the audit library, the exception handling method further includes:
step S501, auditing the target auditing data and obtaining a target auditing result;
and step S502, outputting prompt information corresponding to the target auditing result according to the target auditing result.
In another preferred embodiment of the present invention, after the target audit data is stored in the audit library, the target audit data stored in the audit library is audited to obtain a target audit result indicating whether the target internet of things network card terminal needs to be processed and/or whether the processing result is correct, and corresponding prompt information is output according to the target audit result, so that a worker can perform corresponding operations according to the prompt information, handle illegal conditions, inform the illegal conditions and correct processing conditions, or remedy the wrong processing conditions, and the like. And the high-efficiency management and control closed loop of the anomaly detection, audit confirmation and management and control processing of the Internet of things network card terminal is realized.
Preferably, in the above exception handling method, the step of auditing the target audit data and obtaining the target audit result includes:
judging whether a historical audit record identical to current target audit data exists in a target Internet of things card terminal within preset time;
if the historical audit record exists, determining the historical audit result in the historical audit record as a target audit result;
and if no historical audit record exists, sending the audit record to a manual audit end, and taking the received manual audit result as a target audit result.
In another preferred embodiment of the invention, when the target audit data is audited, whether a historical audit record identical to the current target audit data exists in the target internet of things terminal within a preset time is preferably judged, if the historical audit data exists, the historical audit data is processed according to experience, and if the historical audit record does not exist, the historical audit data is sent to a manual audit end, and a corresponding auditor performs manual audit, so that the workload of manual audit is favorably reduced, and the audit efficiency is improved.
Specifically, according to the above exception handling method, according to the target audit result, the step of executing the processing operation corresponding to the target audit result includes:
when the target auditing result is that illegal violation behaviors exist in the target Internet of things card terminal, judging whether a processing result exists or not, if the processing result does not exist, outputting first information for executing the processing operation, or if the processing result exists, outputting second information for executing the processing operation;
and when the target auditing result is that illegal violation does not exist in the target Internet of things card terminal, judging whether a processing result exists or not, if the processing result does not exist, outputting third information of legal behavior, or if the processing result exists, outputting fourth information for recovering the original service.
In a specific embodiment of the invention, after the auditing result of automatic auditing or manual auditing is obtained, whether the processing result of automatic processing exists in the target auditing data or not is also obtained, and comprehensive processing is carried out according to the auditing result and the processing result, so that repeated processing or timely remediation on error processing is avoided, and the correctness of the final processing result is ensured.
Specifically, when the auditing result is that illegal violation behaviors exist in the target internet of things card terminal and no processing result exists, determining that the target internet of things card terminal needs to be processed, and outputting first information for executing the processing operation at the moment so as to facilitate corresponding staff to execute the processing operation;
when the auditing result is that illegal violation behaviors exist in the target Internet of things card terminal and a processing result exists, determining to execute the processing operation, wherein the processing operation is not needed any more, so that second information of the executed processing operation is output, and corresponding staff are prompted to not need to execute the processing operation any more, thereby being beneficial to improving the processing efficiency;
when the target auditing result is that illegal violation does not exist in the target Internet of things card terminal and no processing result exists, determining that the current target Internet of things card terminal is in a normal behavior, outputting third information with a legal behavior at the moment, and prompting corresponding staff that the target Internet of things card terminal is normal without other operations;
and when the target auditing result is that illegal violation does not exist in the target Internet of things card terminal and a processing result exists, determining that automatic processing is wrong, outputting fourth information for recovering the original service at the moment, prompting corresponding staff to recover the original service of the target Internet of things card terminal, and performing timely remediation, so that the influence on the actual service of the normal Internet of things card terminal is avoided, and further the loss of a client is favorably reduced.
It should be noted that the above description is only an example of the first information, the second information, the third information and the fourth information, and in order to achieve the same technical effect, a person skilled in the art uses other forms for prompting, such as using light, color blocks, labels, and the like, and also belongs to the protection scope of the present invention.
It should be noted that the above "target" is only used to distinguish a plurality of internet of things card terminals and the like in this document.
Referring to fig. 6, still another preferred embodiment of the present invention also provides a controller including:
a first obtaining module 601, configured to obtain entity information of a target internet of things card terminal, where the entity information includes: service scenarios and lifecycle states;
the first processing module 602 is configured to determine, according to entity information of a target internet protocol card terminal, a target detection model corresponding to the target internet protocol card terminal and a target characteristic behavior index set corresponding to the target internet protocol card terminal;
the second processing module 603 is configured to input the target characteristic behavior index set into the target detection model, so as to obtain an identification result output by the target detection model.
Preferably, the controller, the first processing module, as described above, includes:
the first acquisition unit is used for acquiring target behavior information of a target Internet of things card terminal and mapping relations among entity information, a characteristic behavior index set and a detection model which are established in advance;
and the first processing unit is used for determining a target detection model according to the entity information and the mapping relation of the target Internet of things card terminal and extracting the characteristics of the target behavior data to obtain a target characteristic behavior index set.
Specifically, as the controller described above, the controller further includes:
the second acquisition module is used for acquiring the behavior data of all the internet of things card terminals under the preset entity information;
the third processing module is used for extracting the characteristics of the behavior data to obtain a characteristic behavior index set corresponding to preset entity information and establishing a first mapping relation between the entity information and the characteristic behavior index set;
the fourth processing module is used for training and learning by adopting an automatic machine learning algorithm by taking the characteristic behavior index set corresponding to the preset entity information as sample data and establishing a classification detection model corresponding to the preset entity information;
and the fifth processing module is used for establishing a mapping relation among the entity information, the characteristic behavior index set and the detection model according to the preset entity information, the characteristic behavior index set and the classification detection model.
Referring to fig. 6, preferably, the controller as described above, further includes:
a sixth processing module 604, configured to perform management and control processing on the target internet of things card terminal when the identification result indicates that the target internet of things card terminal is an abnormal state internet of things card terminal.
Specifically, the controller, the sixth processing module, as described above, includes:
the second acquisition unit is used for acquiring the target basic attribute information of the target Internet of things card terminal;
the second processing unit is used for determining whether a preset automatic processing rule corresponding to the target Internet of things network card terminal exists or not according to the target basic attribute information;
the third processing unit is used for carrying out processing operation according to the preset automatic processing rule when the preset automatic processing rule is determined to exist, and obtaining a processing result;
and the fourth processing unit is used for taking the target basic attribute information, the target characteristic behavior index set and the processing result corresponding to the target Internet of things card terminal as target auditing data and storing the target basic attribute information, the target characteristic behavior index set and the processing result into an auditing database.
Optionally, as the controller mentioned above, the controller further comprises:
and the fifth processing unit is used for taking the target basic attribute information and the target characteristic behavior index set as target auditing data and storing the target basic attribute information and the target characteristic behavior index set into an auditing base when the automatic processing rule is determined not to exist.
Further, the controller as described above, further comprising:
the sixth processing unit is used for auditing the target auditing data and obtaining a target auditing result;
and the seventh processing unit is used for outputting prompt information corresponding to the target auditing result according to the target auditing result.
Preferably, as the controller described above, the sixth processing unit includes:
the first sub-processing unit is used for judging whether a historical audit record which is the same as the current target audit data exists in the target Internet of things network card terminal within preset time;
the second sub-processing unit is used for determining a history auditing result in the history auditing record as a target auditing result if the history auditing record exists;
and the third sub-processing unit is used for sending the result to the manual review terminal if no historical review record exists, and taking the received manual review result as a target review result.
Specifically, as the controller described above, the seventh processing unit includes:
the fourth sub-processing unit is used for judging whether a processing result exists or not when the target auditing result is that illegal violation behaviors exist in the target Internet of things network card terminal, and outputting first information for executing the processing operation if the processing result does not exist, or outputting second information for executing the processing operation if the processing result exists;
and the fifth sub-processing unit is used for judging whether a processing result exists or not when the target auditing result is that illegal violation does not exist in the target Internet of things card terminal, and outputting third information of legal behavior if the processing result does not exist, or outputting fourth information for recovering the original service if the processing result exists.
The embodiment of the controller of the invention is the controller corresponding to the embodiment of the method, and all implementation means in the embodiment of the method are applicable to the embodiment of the controller, so that the same technical effects can be achieved.
Still another preferred embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the method for handling an exception of an internet of things card terminal as described above.
Moreover, the present disclosure may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (11)
1. An exception handling method for an internet of things card terminal is characterized by comprising the following steps:
acquiring entity information of a target Internet of things card terminal, wherein the entity information comprises: service scenario and lifecycle state;
determining a target detection model corresponding to the target Internet of things card terminal and a target characteristic behavior index set corresponding to the target Internet of things card terminal according to the entity information of the target Internet of things card terminal;
and inputting the target characteristic behavior index set into the target detection model to obtain a recognition result output by the target detection model.
2. The abnormality processing method according to claim 1, wherein the step of determining, according to the entity information of the target internet protocol card terminal, a target detection model corresponding to the target internet protocol card terminal and a target characteristic behavior index set corresponding to the target internet protocol card terminal further includes:
acquiring target behavior information of the target Internet of things card terminal and a mapping relation among pre-established entity information, a characteristic behavior index set and a detection model;
and determining the target detection model according to the entity information of the target Internet of things card terminal and the mapping relation, and performing feature extraction on the target behavior data to obtain the target feature behavior index set.
3. The exception handling method according to claim 1, wherein before the step of obtaining the target behavior information of the target internet of things card terminal and the mapping relationship among the entity information, the characteristic behavior index set, and the detection model that are established in advance, the exception handling method further comprises:
acquiring behavior data of all internet of things card terminals under preset entity information;
extracting features of the behavior data to obtain a feature behavior index set corresponding to the preset entity information, and establishing a first mapping relation between the entity information and the feature behavior index set;
taking the characteristic behavior index set corresponding to the preset entity information as sample data, performing training learning by adopting an automatic machine learning algorithm, and establishing a classification detection model corresponding to the preset entity information;
and establishing a mapping relation among the entity information, the characteristic behavior index set and the detection model according to the preset entity information, the characteristic behavior index set and the classification detection model.
4. The exception handling method according to claim 1, further comprising:
and when the identification result shows that the target Internet of things card terminal is an abnormal Internet of things card terminal, managing and controlling the target Internet of things card terminal.
5. The abnormality processing method according to claim 4, wherein the step of performing management and control processing on the target internet of things card terminal when the identification result indicates that the target internet of things card terminal is an abnormal state internet of things card terminal includes:
acquiring target basic attribute information of the target Internet of things card terminal;
determining whether a preset automatic processing rule corresponding to the target Internet of things card terminal exists or not according to the target basic attribute information;
when the preset automatic processing rule is determined, processing operation is carried out according to the preset automatic processing rule, and a processing result is obtained;
and taking the target basic attribute information, the target characteristic behavior index set and the processing result corresponding to the target Internet of things card terminal as target auditing data, and storing the target basic attribute information, the target characteristic behavior index set and the processing result into an auditing database.
6. The exception handling method according to claim 5, wherein after the step of determining whether there is a corresponding preset automatic handling rule according to the target base attribute information, the exception handling method further comprises:
and when the target basic attribute information and the target characteristic behavior index set do not have the automatic processing rule, taking the target basic attribute information and the target characteristic behavior index set as the target auditing data, and storing the target auditing data in the auditing base.
7. The exception handling method according to claim 5 or 6, wherein after storing the target audit data to an audit repository, the exception handling method further comprises:
auditing the target auditing data to obtain a target auditing result;
and outputting prompt information corresponding to the target auditing result according to the target auditing result.
8. The exception handling method according to claim 7, wherein the step of performing a target audit data audit and obtaining a target audit result includes:
judging whether the target Internet of things card terminal has a history audit record which is the same as the current target audit data within a preset time;
if the historical audit record exists, determining that the historical audit result in the historical audit record is the target audit result;
and if the historical audit record does not exist, sending the historical audit record to a manual audit end, and taking the received manual audit result as a target audit result.
9. The exception handling method according to claim 7, wherein the step of performing, according to the target audit result, a processing operation corresponding to the target audit result includes:
when the target auditing result is that illegal violation behaviors exist in the target Internet of things card terminal, judging whether the processing result exists or not, if the processing result does not exist, outputting first information for executing the processing operation, or if the processing result exists, outputting second information for executing the processing operation;
and when the target auditing result is that illegal violation does not exist in the target Internet of things card terminal, judging whether the processing result exists or not, if the processing result does not exist, outputting third information with legal behavior, or if the processing result exists, outputting fourth information for recovering the original service.
10. A controller, comprising:
the first acquisition module is used for acquiring entity information of a target Internet of things card terminal, wherein the entity information comprises: service scenarios and lifecycle states;
the first processing module is used for determining a target detection model corresponding to the target Internet of things card terminal and a target characteristic behavior index set corresponding to the target Internet of things card terminal according to the entity information of the target Internet of things card terminal;
and the second processing module is used for inputting the target characteristic behavior index set into the target detection model to obtain a recognition result output by the target detection model.
11. A computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the method for handling an exception for an internet protocol card terminal according to any one of claims 1 to 9.
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