CN118158137A - Method and system for monitoring card state of Internet of things - Google Patents
Method and system for monitoring card state of Internet of things Download PDFInfo
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- H04L41/06—Management of faults, events, alarms or notifications
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- H—ELECTRICITY
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Abstract
The invention relates to a method and a system for monitoring the state of an Internet of things card, which are used for receiving service data of an Internet of things card, wherein the service data are time sequence data; monitoring the service data, specifically: if the business data at the adjacent moment changes, outputting the business data in the form of an increment log in a preset time period after the change starting moment, wherein the change is a new adding, modifying or deleting operation; and judging the reason of the change based on the increment log, and then carrying out early warning. The invention improves the efficiency of finding the fault of the card of the Internet of things.
Description
Technical Field
The invention relates to the technical field of the Internet of things, in particular to a method and a system for monitoring the state of a card of the Internet of things.
Background
The internet of things card is a card for intelligent terminal equipment networking, which is provided by an operator for internet of things service enterprises, and is mainly applied to the fields of sharing single vehicles, mobile payment, intelligent cities, vending machines and the like. The internet of things card cannot be directly inserted into a common mobile phone, but can realize the networking function only through corresponding hardware equipment. The operation of the internet of things card needs to pass through a unified network, and after the internet of things card is sold to an enterprise legal person, a general operator opens a flow pool for each enterprise, and the flow in the flow pool is consumed in the use process of the internet of things card owned by the enterprise. The function of the internet of things card comprises an identity authentication function, an information exchange function, a data storage function, an authorization control function and the like.
In the prior art, only a statistical mechanism of service data of the internet of things card exists, and related early warning is not realized according to the service data, so that failure identification cannot be realized in time.
Disclosure of Invention
The invention aims to provide a method for monitoring the state of an Internet of things card, which aims to solve the problem that failure recognition cannot be realized in time.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
a method for monitoring the state of a card of the Internet of things,
Receiving service data of an Internet of things card, wherein the service data is time sequence data;
monitoring the service data, specifically: if the business data at the adjacent moment changes, outputting the business data in the form of an increment log in a preset time period after the change starting moment, wherein the change is a new adding, modifying or deleting operation;
and judging the reason of the change based on the increment log, and then carrying out early warning.
Further, before the monitoring of the traffic data, the following method is performed:
Classifying the service data according to time, equipment or service scenes;
the service data of the same type are aggregated;
and storing the aggregated data in a Redis database.
Further, after receiving the service data of the internet of things card, the following method is executed:
Preprocessing the service data: identifying and processing the abnormal value according to the business rule of the operator of the Internet of things card; filling the missing values according to the service data at adjacent moments;
and converting the business data with different sources and formats into the business data with uniform standard formats.
Further, for the service data with specific meaning or code, the original service data is converted into the service data with a preset format according to the preset data mapping table.
An internet of things card status monitoring system, comprising:
the data receiving module is configured to receive service data of the Internet of things card, wherein the service data is time sequence data;
The monitoring module is configured to monitor the service data, and specifically: if the business data at adjacent time changes, outputting the changed business data in the form of an increment log, wherein the change is a new adding, modifying or deleting operation;
and the early warning module is configured to judge the reason of the change based on the increment log and then perform early warning.
Further, after receiving the service data, the data receiving module classifies the service data according to time, equipment or service scene, aggregates the service data of the same type, and stores the aggregated data in a Redis database.
Further, after receiving the service data of the internet of things card, the following method is executed:
Preprocessing the service data: identifying and processing the abnormal value according to the business rule of the operator of the Internet of things card; filling the missing values according to the service data at adjacent moments;
and converting the business data with different sources and formats into the business data with uniform standard formats.
Further, for the service data with specific meaning or code, the original service data is converted into the service data with a preset format according to the preset data mapping table.
Further, the data receiving module is provided with a plurality of data receiving interfaces, each data receiving interface corresponds to the internet of things card, and after the data receiving interfaces are matched with the corresponding internet of things cards, the data receiving module can receive the service data of the internet of things cards.
The system further comprises a scheduling module which is configured to control the data receiving module to receive the position information, the communication state between the equipment and the server, the temperature, the humidity and the pressure in real time, and the scheduling module is configured to control the data receiving module to receive the energy consumption data and the equipment state report according to a preset period.
The invention has the beneficial effects that:
according to the invention, by monitoring the service data, when the service data changes, the incremental log is extracted, and whether faults and fault types are generated or not is further analyzed according to the data of the incremental log, so that the faults of the Internet of things card can be found in time, and the fault finding efficiency of the Internet of things card is improved.
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FIG. 1 is a flow chart of example 1;
fig. 2 is a structural diagram of embodiment 2.
Detailed Description
Further advantages and effects of the present invention will become readily apparent to those skilled in the art from the disclosure herein, by referring to the following description of the embodiments of the present invention with reference to the accompanying drawings and preferred examples. The invention may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present invention. It should be understood that the preferred embodiments are presented by way of illustration only and not by way of limitation.
It should be noted that the illustrations provided in the following embodiments merely illustrate the basic concept of the present invention by way of illustration, and only the components related to the present invention are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complicated.
Example 1
The embodiment provides a method for monitoring the state of an internet of things card, as shown in fig. 1, which specifically comprises the following steps:
s1: design and construction unified task engine
The internet of things card may belong to a plurality of operators, but the intrinsic business attribute of the internet of things card has a homogeneous characteristic, so that a unified task engine is designed based on mining analysis of business rules and used for controlling the system to collect and schedule basic data of the internet of things card, and the unified task engine is used as a foundation stone for monitoring the landing of a subsequent system.
In this embodiment, the unified task engine is designed based on several key functions:
1. And (3) data acquisition: the relevant data of the internet of things card can be collected from various sources (such as operator networks, devices, systems, etc.) at regular time or in real time.
2. Scheduling management: the system has strong scheduling capability, and can reasonably arrange the time, frequency and priority of data acquisition according to business rules and requirements.
3. Rule matching: the collected data can be rapidly analyzed and matched according to the preset business rules to determine whether the subsequent operation or alarm needs to be triggered.
4. Monitoring and early warning: the state and the performance of the Internet of things card are monitored in real time, and early warning can be sent out in time once abnormality or performance degradation is found.
5. Logging: and (3) completely recording all data acquisition, processing and monitoring operations so as to facilitate subsequent problem investigation and audit.
6. Integration and expansibility: the engine should have good integration capability and expansibility in consideration of possible service changes or newly increased demands in the future.
7. Security and privacy protection: in collecting, processing and storing data, related security and privacy regulations must be strictly adhered to ensure that the security and privacy of the data is not violated.
S2: design and construction data acquisition interface adaptation module
Based on the multisource characteristic of the basic life cycle attribute of the internet of things card, a data acquisition interface adaptation module is designed, flexible adaptation of the multisource interface is completed in a micro-service mode, and accordingly acquisition of service data of a plurality of carrier cards, such as states, flow and the like, is completed.
In this embodiment, in order to meet the multi-source feature of the basic lifecycle attribute of the internet of things card, it is necessary to design a data acquisition interface adaptation module. This module should be implemented in the form of a micro-service to flexibly adapt the interfaces of the various sources. In this way, card service data, such as status, traffic, etc., of multiple operators can be collected efficiently.
The following is a design scheme of a data acquisition interface adaptation module based on micro-services:
1. micro-service architecture: and splitting the data acquisition interface adaptation module into a plurality of independent services by adopting a micro-service architecture. Each service is responsible for a particular function or interface type, which may increase the flexibility and scalability of the module.
2. An interface adapter: an interface adapter is implemented for each operator or data source. The adapter is responsible for communicating with the interface of a particular operator and converting the data format to accommodate the data processing requirements inside the module.
3. And (3) data acquisition: the adapter collects card traffic data, such as status, traffic, etc., from the corresponding carrier interface. The collected data should be stored in a suitable data storage system, such as a relational database or a time series database.
4. Event-driven: an event driven mechanism is used to trigger the data acquisition task. When the card state changes or reaches a preset acquisition frequency, the event is triggered and notifies the corresponding adapter to acquire data.
5. Data verification and processing: the necessary verification and processing is performed before the acquired data enters the storage system. This includes data cleansing, format conversion, exception handling, etc., to ensure accuracy and integrity of the data.
6. Scalability: the design should take into account the potential addition of new operators or data sources in the future. Through the micro-service architecture, new adapters can be easily added to support new data sources.
7. Security and privacy protection: in the process of data acquisition and transmission, proper security measures and privacy protection measures are adopted to ensure the security of data and the privacy rights and interests of users.
8. Monitoring and logging: comprehensive monitoring mechanisms and logging functions are implemented to track the operational status of the modules, data collection conditions, and any potential problems or anomalies.
Through the design, the data acquisition interface adaptation module can flexibly adapt to different operator interfaces, effectively acquire the service data such as the state and the flow of the Internet of things card, and provide a stable and reliable data base for subsequent system monitoring and analysis.
The business rules of the internet of things network card refer to a series of rules and guidelines for the use and management of the internet of things network card. These rules are usually formulated by the operator for standardizing the use of the internet of things card, ensuring the proper operation of the network and the legal rights and interests of the user.
To implement an interface adapter for each carrier or data source, the following steps may be followed:
Demand analysis: first, a detailed demand analysis is performed on the interface of each operator or data source. Details of the communication protocol, data format, transmission mode, etc. of the interface and differences between the data processing requirements inside the module are known.
Interface definition: and defining a communication protocol between the interface adapter and the operator interface according to the result of the demand analysis. This includes data transmission formats, communication modes, exception handling mechanisms, and the like.
Development of an adapter: based on the interface definition, a respective adapter is developed for each operator or data source. The adapter should have the ability to communicate with the operator interface and be able to convert the data format to the data format required inside the module.
Testing and verifying: after the adapter development is completed, sufficient testing and verification is performed to ensure that the adapter can properly communicate with the operator interface and accurately convert the data format.
Deployment and monitoring: the adapter is deployed into a production environment, and a monitoring mechanism is established so as to monitor the running state and the data transmission quality of the adapter in real time.
Optimizing and iterating: and continuously optimizing and iterating the adapter according to the actual running condition and the change of the service requirement so as to improve the efficiency and accuracy of data acquisition.
Document and maintenance: a detailed document is written for each adapter, recording its function, method of use and maintenance requirements. This facilitates the subsequent maintenance and management work to be performed smoothly.
S3: and receiving service data of the Internet of things card, wherein the service data is time sequence data.
The service data of the internet of things card refers to various data transmitted and interacted through the internet of things card. The data may be communication data between the device and the server, or may be various environmental parameters collected by the sensor, such as temperature, humidity, pressure, etc. The service data is an important part in the application of the Internet of things, and by analyzing and processing the data, functions of remote monitoring, fault diagnosis, prediction maintenance and the like can be performed on the equipment, so that the operation efficiency and reliability of the equipment are improved. Common internet of things card business data includes real-time data and historical data. Real-time data refers to real-time monitoring data generated by equipment in the running process, and the data needs to be transmitted and processed in real time so as to discover abnormality and take corresponding measures in time. Historical data refers to historical data generated by the device during operation, which can be used to analyze and predict the operational status and life of the device. In addition, the service data of the internet of things card further comprises identification information, position information, equipment state and the like of the equipment.
S4: according to the heterogeneous characteristics of the internet of things card interface data, a data cleaning module is designed and used for carrying out standardized conversion and storage on the acquired basic source data. Specific:
Preprocessing the service data: identifying and processing the abnormal value according to the business rule of the operator of the Internet of things card;
filling the missing values according to the service data at adjacent moments;
and converting the business data with different sources and formats into the business data with uniform standard formats.
The heterogeneous nature of the internet of things card interface data does increase the complexity of data processing. After receiving the service data, a data purge is necessary to ensure that the collected data can be converted and stored in a standardized manner. The following are key considerations in designing a data cleansing module:
Data preprocessing: before the data cleansing, necessary data preprocessing is performed. This includes processing of outliers, missing values, and duplicate data. The abnormal value can be identified and processed according to the business rule, the missing value can be filled according to the context information, and repeated data can be subjected to de-duplication.
Standardized conversion: and designing standardized conversion rules or algorithms to convert data with different sources and formats into a unified standard format. This helps to improve the readability and comparability of the data, facilitating subsequent data analysis.
Data mapping: for data having a particular meaning or encoding, a data mapping table is established. The original data is converted into a format with explicit meaning or conforming to the business rule through the mapping table.
And (3) verification and verification: during the data cleansing process, a verification and verification mechanism is implemented. This helps to ensure the accuracy and integrity of the data cleansing, avoiding false cleansing or omission.
S5: the data storage is completed based on the nosql component.
In view of the characteristics that the index data size of the Internet of things card is large and the context data needs to be concerned in part of monitoring analysis, redis is introduced to conduct staged classification and summarization on the process data to form secondary processing storage, and reference data support is provided for data context analysis.
Considering the characteristics that the index data volume of the internet of things card is large and part of monitoring analysis needs to pay attention to the context data, introducing the Redis for carrying out the staged classification of the process data is always a good solution. Redis is a high-performance key-value pair storage database that can quickly store, read and manipulate data and support rich data structures and operations.
The following is a step of staged categorization summarization using Redis:
1. data classification: and classifying the index data of the Internet of things card according to the service requirements and the data characteristics. The basis for classification may be time, equipment, business scenario, etc.
2. Summarizing data: and summarizing the classified data, and aggregating the data of the same type to reduce the scale and complexity of the data. Data may be summarized using data structures such as Redis's set (Sets), ordered set (Sorted Sets), hash table (Hashes), and the like.
3. And (3) data storage: and storing the summarized data in the Redis, and selecting a proper storage mode, such as key value pairs, lists, sets and the like, according to actual requirements. Meanwhile, the data can be periodically backed up to the disk by using the persistence function of Redis, so that the reliability and the safety of the data are ensured.
4. Data retrieval and query: the collected data can be quickly searched and queried through a command and query interface provided by Redis. Redis's key-value pair query, list slicing, set merging, etc. may be used to obtain the required data.
5. Secondary processing and treatment: the stored data may be processed and processed a second time in Redis. For example, batch operations may be performed using Redis's pipeline technology, complex logic processing using Lua script, and so on.
6. Data output and display: and outputting the processed data to other systems or platforms for data display and analysis. Real-time output and display of data can be realized by using technologies such as a Redis publishing and subscribing mechanism, data flow and the like.
7. Monitoring and maintaining: in the whole process, performance indexes of Redis, such as memory use condition, connection number, execution delay and the like, need to be monitored. Necessary adjustment and maintenance are carried out according to the monitoring result, so that the Redis can be ensured to provide service stably and efficiently.
By introducing Redis to carry out staged classification summarization, the data size and complexity can be effectively reduced, and the data processing efficiency can be improved. Meanwhile, data stored in secondary processing can provide reference data support for context analysis, so that enterprises can better know the service condition and business trend of the Internet of things card.
Therefore, the implementation method in the step is as follows:
Classifying the service data according to time, equipment or service scenes;
the service data of the same type are aggregated;
and storing the aggregated data in a Redis database.
S6: monitoring service data, specifically: if the business data at adjacent time changes, the changed business data is output in the form of an increment log, and the change is changed into a new adding, modifying or deleting operation.
In this embodiment, in order to more accurately realize the monitoring analysis of the card usage situation, a database incremental log consumption framework Canal is introduced, and incremental analysis is performed on the data collected and stored in a standardized manner by the collection engine, so as to form an incremental monitoring index result conforming to the business rule.
The database incremental log consumption framework Canal can be used for realizing monitoring analysis of card consumption conditions, and the change data is provided for consumers in the form of incremental logs by monitoring the change of the database in real time, so that incremental analysis of the data collected and stored in a standardized manner by the collection engine is realized. The following is the step of using Canal to realize the monitoring analysis of using card condition:
1. configuration Canal: and according to the type of the database and the table structure, configuring the monitoring rule of the Canal, and designating the database and the table to be monitored. Ensuring that the Canal is able to connect correctly to the target database and obtain the relevant table information.
2. And (3) data increment collection: the Canal monitors the configured database and table in real time, and once there is a data change (e.g., a new, modified, deleted operation), the Canal outputs the changed data in the form of an incremental log. These incremental logs contain data change information in tables in the database.
3. Data processing and analysis: and receiving the increment log output by the Canal, and processing and analyzing the data according to the business rule. Corresponding logic can be written to parse the incremental log and extract useful information such as the number of newly added users, the number of active users, the transaction amount, etc. By analyzing this data, the card usage can be monitored and evaluated.
4. Outputting and displaying results: and outputting and displaying the result of the incremental analysis. The results may be stored in a database or visually presented in the form of reports, charts, etc. Thus, the business personnel and decision maker can intuitively check and analyze the relevant indexes of the card consumption condition.
5. Abnormality detection and alarm: through the results of the incremental analysis, abnormal conditions such as abnormal user behavior, abnormal transaction amount, and the like can be detected. Once an abnormal condition is detected, an alarm mechanism can be triggered to timely inform related personnel to process. This ensures that the abnormal situation is timely focused and handled.
6. Data backup and archiving: to ensure data integrity and security, incremental journals may be backed up and archived. The backed-up log may be used for data recovery and the archived log may be used for historical data analysis. By periodic backup and archiving, data can be effectively protected and subsequent data query and analysis work can be supported.
7. Performance monitoring and optimization: in the whole process, the performance index of the Canal needs to be monitored, such as log processing speed, CPU utilization rate, memory occupation and the like. And carrying out necessary optimization and adjustment according to the performance index, and ensuring that the Canal can efficiently process incremental data and analysis tasks. Performance optimization can be achieved by adjusting the configuration parameters of the Canal, upgrading hardware or optimizing code, and the like.
By using Canal to monitor and analyze the card usage, enterprises can know the usage of the Internet of things card in real time, find out anomalies and process timely. Meanwhile, by combining other technologies and tools, such as Redis, data visualization tools and the like, a more comprehensive and efficient monitoring and analysis system can be realized, and powerful support is provided for business decisions of enterprises.
In this embodiment, therefore, by monitoring traffic data that changes in time sequence in real time, if traffic data changes at adjacent times,
The traffic data for the change start period is extracted.
S7: based on the increment log, judging the reason of the change, and then carrying out early warning.
For example, the data traffic suddenly decreases, which may indicate that the communication state of the internet of things network card is poor, and if the data traffic suddenly becomes 0 and continues for a period of time, the internet of things network card may become silent.
Therefore, based on the index data formed by the steps, the method combines the service requirements to monitor and analyze, and outputs and pre-warns the data conforming to the analysis rules.
Example 2
The embodiment provides an internet of things card status monitoring system based on embodiment 1, as shown in fig. 2, including:
The data receiving module 1 is configured to receive service data of the Internet of things card, wherein the service data is time sequence data; the monitoring module 2 is configured to monitor the service data, specifically: if the business data at the adjacent moment changes, outputting the business data in a preset time period after the change in the form of an increment log, and changing the business data into a new adding, modifying or deleting operation; and the early warning module 3 is configured to judge the reason of the change based on the increment log and then perform early warning.
In this embodiment, after the data receiving module 1 receives service data, the service data is classified, where the basis of classification is time, equipment or service scenario, the service data of the same type are aggregated, and the aggregated data are stored in the Redis database.
In this embodiment, after receiving service data of the internet of things card, the following method is executed:
Preprocessing the service data: identifying and processing the abnormal value according to the business rule of the operator of the Internet of things card; filling the missing values according to the service data at adjacent moments;
and converting the business data with different sources and formats into the business data with uniform standard formats.
In this embodiment, for service data having a specific meaning or code, the original service data is converted into service data in a preset format according to a preset data mapping table.
In this embodiment, the data receiving module has a plurality of data receiving interfaces, each data receiving interface corresponds to an internet of things card, and after the data receiving interface is adapted to the corresponding internet of things card, the data receiving module can receive the service data of the internet of things card. Thereby realizing the data receiving of various internet of things cards.
The embodiment further comprises a scheduling module 4 configured to control the data receiving module to receive the position information, the communication state between the device and the server, the temperature, the humidity and the pressure in real time, and the scheduling module controls the data receiving module to receive the energy consumption data and the device state report according to a preset period. In this embodiment, the location information, the communication status between the device and the server, the temperature, the humidity, the pressure, the received energy consumption data, and the device status report all belong to the service data. Thereby realizing the collection strategy of different data.
The above embodiments are merely preferred embodiments for fully explaining the present invention, and the scope of the present invention is not limited thereto. Equivalent substitutions and modifications will occur to those skilled in the art based on the present invention, and are intended to be within the scope of the present invention.
Claims (10)
1. The method for monitoring the state of the card of the Internet of things is characterized by comprising the following steps of:
receiving service data of an Internet of things card, wherein the service data is time sequence data;
monitoring the service data, specifically: if the business data at the adjacent moment changes, outputting the business data in the form of an increment log in a preset time period after the change starting moment, wherein the change is a new adding, modifying or deleting operation;
and judging the reason of the change based on the increment log, and then carrying out early warning.
2. The method for monitoring the status of an internet of things card according to claim 1, wherein the method comprises the following steps: before the monitoring of the service data, the following method is executed:
Classifying the service data according to time, equipment or service scenes;
the service data of the same type are aggregated;
and storing the aggregated data in a Redis database.
3. The method for monitoring the status of an internet of things card according to claim 1, wherein the method comprises the following steps: after receiving the service data of the internet of things card, executing the following method:
Preprocessing the service data: identifying and processing the abnormal value according to the business rule of the operator of the Internet of things card;
filling the missing values according to the service data at adjacent moments;
and converting the business data with different sources and formats into the business data with uniform standard formats.
4. The method for monitoring the status of an internet of things card according to claim 3, wherein: and converting the original business data into business data with a preset format according to a preset data mapping table aiming at the business data with specific meaning or coding.
5. The utility model provides a thing networking card state monitored control system which characterized in that: comprising the following steps:
the data receiving module is configured to receive service data of the Internet of things card, wherein the service data is time sequence data;
The monitoring module is configured to monitor the service data, and specifically: if the business data at adjacent time changes, outputting the changed business data in the form of an increment log, wherein the change is a new adding, modifying or deleting operation;
and the early warning module is configured to judge the reason of the change based on the increment log and then perform early warning.
6. The internet of things card status monitoring system of claim 5, wherein:
After receiving the service data, the data receiving module classifies the service data according to time, equipment or service scenes, aggregates the service data of the same type, and stores the aggregated data in a Redis database.
7. The internet of things card status monitoring system of claim 5, wherein: after receiving the service data of the internet of things card, executing the following method:
Preprocessing the service data: identifying and processing the abnormal value according to the business rule of the operator of the Internet of things card;
filling the missing values according to the service data at adjacent moments;
and converting the business data with different sources and formats into the business data with uniform standard formats.
8. The internet of things card status monitoring system of claim 7, wherein: and converting the original business data into business data with a preset format according to a preset data mapping table aiming at the business data with specific meaning or coding.
9. The internet of things card status monitoring system of claim 5, wherein: the data receiving module is provided with a plurality of data receiving interfaces, each data receiving interface corresponds to the Internet of things card, and after the data receiving interfaces are matched with the corresponding Internet of things cards, the data receiving module can receive the service data of the Internet of things cards.
10. The internet of things card status monitoring system of claim 5, wherein: the scheduling module is configured to control the data receiving module to receive the position information, the communication state between the equipment and the server, the temperature, the humidity and the pressure in real time, and the scheduling module controls the data receiving module to receive the energy consumption data and the equipment state report according to a preset period.
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| CN202410043450.2A CN118158137A (en) | 2024-01-11 | 2024-01-11 | Method and system for monitoring card state of Internet of things |
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| CN202410043450.2A CN118158137A (en) | 2024-01-11 | 2024-01-11 | Method and system for monitoring card state of Internet of things |
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