CN112583664A - Data processing method and related device - Google Patents
Data processing method and related device Download PDFInfo
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Abstract
The embodiment of the application discloses a data processing method and a related device, which are applied to electronic equipment, wherein the electronic equipment comprises a heartbeat system and a service system, and the method comprises the following steps: receiving the uploaded data through the heartbeat system, wherein the service system is used for realizing service processing; performing data processing on the uploaded data through the heartbeat system to obtain a processing result; and when the processing result shows that the heartbeat system is abnormal, continuing the service processing through the service system. By adopting the method and the device, the equipment processing efficiency can be improved.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a data processing method and a related apparatus.
Background
At present, in the field of internet of things, single-system mechanism data processing pressure is large, and data interaction of tens of thousands of internet of things devices needs to be processed asynchronously based on business requirements to reduce peak pressure, so that the problem of how to improve the processing efficiency of the devices needs to be solved urgently.
Disclosure of Invention
The embodiment of the application provides a data processing method and a related device, which can improve the processing efficiency of equipment.
In a first aspect, an embodiment of the present application provides a data processing method, which is applied to an electronic device, where the electronic device includes a heartbeat system and a service system, and the method includes:
receiving the uploaded data through the heartbeat system, wherein the service system is used for realizing service processing;
performing data processing on the uploaded data through the heartbeat system to obtain a processing result;
and when the processing result shows that the heartbeat system is abnormal, continuing the service processing through the service system.
In a second aspect, an embodiment of the present application provides a data processing apparatus, which is applied to an electronic device, where the electronic device includes a heartbeat system and a service system, and the apparatus includes: a receiving unit, a first processing unit and a second processing unit, wherein,
the receiving unit is used for receiving the uploaded data through the heartbeat system, and the service system is used for realizing service processing;
the first processing unit is used for performing data processing on the uploaded data through the heartbeat system to obtain a processing result;
and the second processing unit is used for continuing the service processing through the service system when the processing result shows that the heartbeat system is abnormal.
In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the first aspect of the embodiment of the present application.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program enables a computer to perform some or all of the steps described in the first aspect of the embodiment of the present application.
In a fifth aspect, embodiments of the present application provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps as described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
The embodiment of the application has the following beneficial effects:
it can be seen that the data processing method and the related apparatus described in the embodiments of the present application are applied to an electronic device, where the electronic device includes a heartbeat system and a service system, receives upload data through the heartbeat system, the service system is configured to implement service processing, performs data processing on the upload data through the heartbeat system to obtain a processing result, continues service processing through the service system when the processing result shows that the heartbeat system is abnormal, and can implement reported data reception and processing through the heartbeat data, and the service system processes a service, and when the heartbeat system is abnormal, the service system still performs normal service processing, thereby ensuring normal service processing and also improving device processing efficiency.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 1B is a schematic flowchart of a data processing method according to an embodiment of the present application;
FIG. 2 is a schematic flow chart diagram of another data processing method provided in the embodiments of the present application;
fig. 3 is a schematic structural diagram of another electronic device provided in an embodiment of the present application;
fig. 4 is a block diagram of functional units of a data processing apparatus according to an embodiment of the present application.
Detailed Description
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The electronic device according to the embodiment of the present application may be various handheld devices with communication functions, smart robots, smart headsets, smart dictionaries, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to wireless modems, and various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), and the like, and the electronic device may also be a server or a smart home device.
In the embodiment of the application, the smart home device may be at least one of the following: refrigerator, washing machine, electricity rice cooker, intelligent (window) curtain, intelligent lamp, intelligent bed, intelligent garbage bin, microwave oven, steam ager, air conditioner, lampblack absorber, server, intelligent door, smart window, door wardrobe, intelligent audio amplifier, intelligent house, intelligent chair, intelligent clothes hanger, intelligent shower, water dispenser, water purifier, air purifier, doorbell, monitored control system, intelligent garage, TV set, projecting apparatus, intelligent dining table, intelligent sofa, massage armchair, treadmill etc. of course, can also include other equipment.
As shown in fig. 1A, fig. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. The electronic device includes a processor, a Memory, a signal processor, a transceiver, a display screen, a speaker, a microphone, a Random Access Memory (RAM), a camera, a sensor, a network module, and the like. The memory, the DSP, the loudspeaker, the microphone, the RAM, the camera, the sensor and the network module are connected with the processor, and the transceiver is connected with the signal processor.
The Processor is a control center of the electronic device, connects various parts of the whole electronic device by using various interfaces and lines, executes various functions and processes data of the electronic device by running or executing software programs and/or modules stored in the memory and calling the data stored in the memory, thereby performing overall monitoring on the electronic device, and may be a Central Processing Unit (CPU), a Graphics Processing Unit (GPU) or a Network Processing Unit (NPU).
Further, the processor may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor.
The memory is used for storing software programs and/or modules, and the processor executes various functional applications and data processing of the electronic equipment by operating the software programs and/or modules stored in the memory. The memory mainly comprises a program storage area and a data storage area, wherein the program storage area can store an operating system, a software program required by at least one function and the like; the storage data area may store data created according to use of the electronic device, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
Wherein the sensor comprises at least one of: light-sensitive sensors, gyroscopes, infrared proximity sensors, vibration detection sensors, pressure sensors, etc. Among them, the light sensor, also called an ambient light sensor, is used to detect the ambient light brightness. The light sensor may include a light sensitive element and an analog to digital converter. The photosensitive element is used for converting collected optical signals into electric signals, and the analog-to-digital converter is used for converting the electric signals into digital signals. Optionally, the light sensor may further include a signal amplifier, and the signal amplifier may amplify the electrical signal converted by the photosensitive element and output the amplified electrical signal to the analog-to-digital converter. The photosensitive element may include at least one of a photodiode, a phototransistor, a photoresistor, and a silicon photocell.
The camera may be a visible light camera (general view angle camera, wide angle camera), an infrared camera, or a dual camera (having a distance measurement function), which is not limited herein.
The network module may be at least one of: a bluetooth module, a wireless fidelity (Wi-Fi), etc., which are not limited herein.
Based on the electronic device described in fig. 1A, the electronic device includes a heartbeat system and a service system, and can execute the following data processing method, which includes the following specific steps:
receiving the uploaded data through the heartbeat system, wherein the service system is used for realizing service processing;
performing data processing on the uploaded data through the heartbeat system to obtain a processing result;
and when the processing result shows that the heartbeat system is abnormal, continuing the service processing through the service system.
It can be seen that, in the electronic device described in this embodiment of the present application, the electronic device includes a heartbeat system and a service system, receives upload data through the heartbeat system, the service system is configured to implement service processing, performs data processing on the upload data through the heartbeat system to obtain a processing result, when the processing result shows that the heartbeat system is abnormal, continues service processing through the service system, and implements reception and processing of report data through the heartbeat data, and the service system processes a service, and when the heartbeat system is abnormal, the service system still performs normal service processing, thereby ensuring normal service processing, and also improving device processing efficiency.
Referring to fig. 1B, fig. 1B is a schematic flow chart of a data processing method according to an embodiment of the present application, and as shown in the drawing, the data processing method is applied to an electronic device shown in fig. 1A, where the electronic device includes a heartbeat system and a service system, and the data processing method includes:
101. and receiving the uploaded data through the heartbeat system, wherein the service system is used for realizing service processing.
In the embodiment of the present application, the electronic device may include two or more systems, and taking a dual system as an example, the electronic device includes a heartbeat system and a service system.
In the concrete realization, electronic equipment's system can be divided into heartbeat system and service system two parts, and the heartbeat system is connected with electronic equipment or other equipment, and the data that other equipment uploaded in electronic equipment and the thing networking can be received to the heartbeat system, and the heartbeat system can filter and preprocess etc. to data, and the preprocessing can be for following at least one: digital to analog conversion, sampling, quantization, and the like, without limitation. The heartbeat system and the service system can adopt asynchronous communication and are independent of each other, and are not influenced by each other, and if the heartbeat system crashes, the service system cannot be influenced. The embodiment of the application can be applied to the environment of the Internet of things. The uploaded data may be data reported by other devices connected to the electronic device in the environment of the internet of things or data of the electronic device itself. The heartbeat system and the service system can be a cloud system or a local system, and when the heartbeat system and the service system are the cloud system, the heartbeat system can correspond to the heartbeat server, and the service system can correspond to the service server.
In the embodiment of the application, the electronic device can be divided into two systems, and then different load designs can be performed on different contents, for example, the usage amount of a user is a ratio of one to ten thousand or even one to ten million compared with the number of the devices. To cope with this situation, the servers of the business system may be deployed less frequently, and distributed deployment of the heartbeat system is performed in large quantities.
In one possible example, the step 101 of receiving upload data through the heartbeat system may include the following steps:
11. acquiring reference uploading data in a preset time period;
12. acquiring a data transmission curve of the reference uploading data, wherein the horizontal axis of the data transmission curve is time, and the vertical axis of the data transmission curve is data volume;
13. carrying out segmentation processing on the data transmission curve to obtain a plurality of segments;
14. determining the average data volume of each of the plurality of segments to obtain a plurality of average data volumes;
15. determining a target mean square error according to the plurality of average data volumes;
16. determining a target expectation from the plurality of average data volumes;
17. determining a reference time interval corresponding to the target expectation according to a mapping relation between a preset expectation and the time interval;
18. determining a target adjusting coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and an adjusting coefficient;
19. adjusting the reference time interval according to the target adjustment coefficient to obtain a first time interval;
20. and receiving upload data through the heartbeat system according to the first time interval.
Wherein, the preset time period can be set by the user or the default of the system. The electronic device may store a mapping relationship between a preset expectation and a time interval, and a mapping relationship between a preset mean square error and an adjustment coefficient in advance.
In specific implementation, the electronic device may obtain reference upload data in a preset time period, and further obtain a data transmission curve of the reference upload data, where a horizontal axis of the data transmission curve is time, a vertical axis of the data transmission curve is data volume, and the data volume may be the number of data packets or the memory size of the data. The electronic device can perform segmentation processing on the data transmission curve to obtain a plurality of segments, wherein the lengths of the segments are equal or different.
Furthermore, the electronic device may determine an average data amount of each of the plurality of segments to obtain a plurality of average data amounts, determine a target mean square error according to the plurality of average data amounts according to a variance calculation formula, determine a target expectation according to the plurality of average data amounts according to an expectation calculation formula, determine a reference time interval corresponding to the target expectation according to a mapping relationship between the preset expectation and the time interval, and determine a target adjustment coefficient corresponding to the target mean square error according to a mapping relationship between the preset mean square error and the adjustment coefficient. In the embodiment of the application, the value range of the adjustment coefficient can be-1 to-1, for example, the value range of the adjustment coefficient is-0.0125 to 0.0125. Furthermore, the electronic device may adjust the reference time interval according to the target adjustment coefficient to obtain the first time interval, where the specific calculation formula is as follows:
first time interval (1+ target regulation factor) reference time interval
Furthermore, the electronic equipment can receive the uploaded data through the heartbeat system according to the first time interval, so that the receiving time can be reasonably adjusted according to the rule of the uploaded data, the data receiving efficiency is guaranteed, and the power consumption of the equipment is reduced.
102. And carrying out data processing on the uploaded data through the heartbeat system to obtain a processing result.
The heartbeat system can be used for processing the uploaded data, and the data processing mode can be at least one of the following modes: the data screening, the data mining, the data analysis and the like are not limited herein, and further, a processing result can be obtained, and the processing result can indicate the working condition of the heartbeat system and the working state of other equipment, so as to realize the monitoring of the system per se and the monitoring of other equipment.
In one possible example, the step 102 of performing data processing on the uploaded data by the heartbeat system to obtain a processing result may include the following steps:
21. determining a target data source device identification of the uploaded data;
22. determining a target data processing parameter corresponding to the target data source equipment identifier according to a mapping relation between a preset equipment identifier and the data processing parameter;
23. and controlling the heartbeat system to perform data processing on the uploaded data according to the target data processing parameters to obtain a processing result.
The corresponding data source device identifiers of different uploaded data are different, and the device identifier may be at least one of the following: an IP address, a MAC address, an Integrated Circuit Card Identifier (ICCID) number, an International Mobile Equipment Identifier (IMEI), and the like, but not limited thereto, the data processing parameter may be at least one of: data processing algorithms, parameters of hardware resources required for data processing, data processing speed, etc., are not limited herein. The data processing algorithm may be at least one of: data quantization, data normalization, data sampling, data fitting, data mining, and the like, without limitation. The hardware resource parameters required for data processing may be at least one of: CPU resources, NPU resources, GPU resources, memory resources, cache resources, memory fragmentation resources, and the like, without limitation.
In the specific implementation, the mapping relationship between the preset device identifier and the data processing parameter may be pre-stored in the electronic device, and then the electronic device may determine a target data source device identifier of the uploaded data, determine a target data processing parameter corresponding to the target data source device identifier according to the mapping relationship between the preset device identifier and the data processing parameter, control the heartbeat system to perform data processing on the uploaded data according to the target data processing parameter, so as to obtain a processing result, and further configure the corresponding data processing parameter in a targeted manner according to the device source of the reported data, thereby contributing to improvement of data processing efficiency.
For example, the requests of different devices may be supported by corresponding delay mechanisms, and algorithms may be designed to balance system resources, for example, the system resources are comprehensively set based on real-time traffic of system data, request types, device types, scenes where the devices are located, device user identities, and the like.
For example, in a large internet of things platform, for a smart city internet of things system, internet of things devices comprise a street lamp controller, a temperature sensor, an environment sensor, a water sensor, a noise sensor, a well lid sensor, a garbage can overflow sensor and the like, if a user actively requests response data of certain devices through a client interface, namely the request type is a user request, the corresponding priority is higher, at the moment, a heartbeat server puts the instruction into a priority queue, and the instruction is issued to the devices in preference to the instruction of an automatic response queue.
For another example, for a tunnel water immersion early warning system, if the electronic water gauge is found to be raised to exceed a threshold value and the ultrasonic sensor is not abnormal temporarily, the heartbeat system automatically links and judges the conditions of other equipment during preprocessing, judges whether the equipment is in a fault state or a real early warning state, and the heartbeat server can identify the possible sudden dangerous conditions such as water immersion and the like according to the data conditions, sets real-time reply response data, sends a preset plan, and simultaneously informs a monitoring center of a service system to accurately position the equipment conditions and dangers.
103. And when the processing result shows that the heartbeat system is abnormal, continuing the service processing through the service system.
The processing result reflects the quality of the heartbeat system to a certain extent, and also can reflect the working states of other equipment, when the processing result shows that the heartbeat system is abnormal, the service processing is continued through the service system, and further, when the heartbeat system is abnormal, the service system is still not influenced.
In one possible example, the step 103, continuing the service processing through the service system, may include the following steps:
31. determining a first idle resource and an occupied resource corresponding to the service system;
32. estimating the maximum demand resource of the service system in a specified time period;
33. determining a disposable idle resource according to the first idle resource and the maximum demand resource;
34. and controlling the service system to receive the uploaded data according to the disposable idle resources and continue service processing according to the occupied resources.
The specified time period can be set by the user or defaulted by the system. The electronic device can determine a current first idle resource of the service system and an occupied resource already in use, and can also estimate a maximum demand resource of the service system in a specified time period, and further, the electronic device can determine a disposable idle resource according to the first idle resource and the maximum demand resource, when the first idle resource is greater than the maximum demand resource, the electronic device can use the first idle resource minus a resource amount corresponding to the maximum demand resource as the disposable idle resource, when the maximum demand resource is greater than or equal to the first idle resource, the electronic device can clear the system resource, and use a preset proportion of resources in the first idle resource and the cleared resources as the disposable idle resources, the preset proportion can be set by a user or defaulted by the system, and when the idle resource rate of the service system is lower than the preset idle resource rate, the disposable idle resource is disposed in a time division multiplexing manner, the control service system receives the uploaded data according to the disposable idle resources and continues service processing according to the occupied resources, and the time-sharing multiplexing mode can avoid receiving the reported data to influence normal service processing.
In one possible example, when the processing result shows that the heartbeat system is abnormal, the method may further include the following steps:
a1, extracting keywords from the processing result to obtain target keywords;
a2, determining a target abnormal grade corresponding to the target keyword according to a mapping relation between preset keywords and abnormal grades;
a3, determining a target exception handling strategy corresponding to the target exception level according to a mapping relation between a preset exception level and an exception handling strategy;
and A4, executing the target exception handling strategy.
In specific implementation, the mapping relationship between the preset keyword and the exception level and the mapping relationship between the preset exception level and the exception handling policy may be stored in the electronic device in advance. The exception handling policy may be at least one of: exception alarms, notification to an administrator, system repair, etc., without limitation.
In the specific implementation, the electronic device may extract keywords from the processing result to obtain a target keyword, further determine a target exception level corresponding to the target keyword according to a mapping relationship between a preset keyword and an exception level, determine a target exception handling policy corresponding to the target exception level according to a mapping relationship between the preset exception level and an exception handling policy, and finally execute the target exception handling policy.
Optionally, when the target keyword includes a plurality of keywords, in the step a2, the target abnormality level corresponding to the target keyword is determined according to a mapping relationship between a preset keyword and an abnormality level, and the following steps may also be performed:
a21, determining the importance of each keyword in the plurality of keywords to obtain a plurality of importance;
a22, determining the maximum value of the importance degrees, and acquiring a first keyword corresponding to the maximum value;
a23, determining the target abnormal level corresponding to the first keyword according to the mapping relation between the preset keyword and the abnormal level.
The mapping relation between the preset keywords and the abnormal levels can be stored in the electronic equipment in advance. Different keywords can correspond to different importance degrees, the mapping relation between the keywords and the importance degrees can be stored in the electronic equipment in advance, and the higher the importance degree is, the more accurate the condition that the keywords reflect the abnormity is. Furthermore, the electronic device may determine the importance of each keyword in the plurality of keywords to obtain a plurality of importance, may also determine a maximum value in the plurality of importance, obtain a first keyword corresponding to the maximum value, and determine a target abnormality level corresponding to the first keyword according to a preset mapping relationship between the keyword and the abnormality level.
Further, optionally, the step a21, determining the importance of each keyword in the plurality of keywords, and obtaining a plurality of importance, may include the following steps:
a211, determining a target position of a keyword x in the processing result and a reference importance level of the keyword x, wherein the keyword x is any keyword in the plurality of keywords;
a212, determining a reference importance degree corresponding to the reference importance level according to a mapping relation between preset importance levels and importance degrees;
a213, determining a target first optimization parameter corresponding to the target position according to a mapping relation between a preset position and the first optimization parameter;
a214, acquiring the number of keywords of the plurality of keywords;
a215, determining the target occurrence frequency of the keyword x according to the number of the keywords;
a216, determining a target second optimization parameter corresponding to the target occurrence frequency according to a mapping relation between a preset occurrence frequency and the second optimization parameter;
and A217, adjusting the reference importance according to the target first optimization parameter and the target second optimization parameter to obtain the importance of the keyword x.
The preset threshold may be set by the user or default by the system, and may be an empirical value. The electronic device may pre-store a mapping relationship between a preset importance level and the importance degree, and a mapping relationship between a preset position and the first optimization parameter.
In specific implementation, taking a keyword x as an example, the keyword x is any keyword of a plurality of keywords, the electronic device may determine a target position of the keyword x in the target code and a reference importance level of the keyword x, determine a reference importance level corresponding to the reference importance level according to a mapping relationship between a preset importance level and an importance level, determine a target first optimization parameter corresponding to the target position according to a mapping relationship between a preset position and the first optimization parameter, where a value range of the first optimization parameter may be-1 to 1, and for example, the first optimization parameter may be-0.08 to 0.08.
Further, since the keywords may repeatedly appear, the electronic device may obtain the number of the keywords of the plurality of keywords, determine the target occurrence frequency of the keyword x according to the number of the keywords, determine a target second optimization parameter corresponding to the target occurrence frequency according to a mapping relationship between the preset occurrence frequency and the second optimization parameter, where a value range of the second optimization parameter may be-1 to 1, for example, the second optimization parameter may be-0.052 to 0.052, and adjust the reference importance according to the target first optimization parameter and the target second optimization parameter to obtain the importance of the keyword x, where a specific calculation formula is as follows:
the importance of the keyword x (1+ target first optimization parameter) ((1 + target second optimization parameter))
Furthermore, the importance degree of the keyword can be accurately determined according to the position and the occurrence frequency of the keyword, and the method is favorable for anomaly detection.
It can be seen that the data processing method described in the embodiment of the present application is applied to an electronic device, where the electronic device includes a heartbeat system and a service system, receives upload data through the heartbeat system, the service system is configured to implement service processing, performs data processing on the upload data through the heartbeat system to obtain a processing result, when the processing result shows that the heartbeat system is abnormal, continues service processing through the service system, and can implement reported data reception and processing through the heartbeat data, and the service system processes a service, and when the heartbeat system is abnormal, the service system still performs normal service processing, thereby ensuring normal service processing, and also improving device processing efficiency.
Referring to fig. 2, in keeping with the embodiment shown in fig. 1B, fig. 2 is a schematic flowchart of a data processing method provided in an embodiment of the present application, and is applied to the electronic device shown in fig. 1A, where the electronic device includes a heartbeat system and a service system, and the data processing method includes:
201. and receiving the uploaded data through the heartbeat system, wherein the service system is used for realizing service processing.
202. And carrying out data processing on the uploaded data through the heartbeat system to obtain a processing result.
203. And when the processing result shows that the heartbeat system is abnormal, continuing the service processing through the service system.
204. And extracting keywords from the processing result to obtain target keywords.
205. And determining a target abnormal grade corresponding to the target keyword according to a mapping relation between a preset keyword and the abnormal grade.
206. And determining a target exception handling strategy corresponding to the target exception grade according to a mapping relation between a preset exception grade and an exception handling strategy.
207. And executing the target exception handling strategy.
For the detailed description of steps 201 to 207, reference may be made to corresponding steps of the data processing method described in fig. 1B, which are not described herein again.
It can be seen that the data processing method described in the embodiment of the present application is applied to an electronic device, the electronic device includes a heartbeat system and a service system, the heartbeat system receives uploaded data, the service system is configured to implement service processing, the heartbeat system performs data processing on the uploaded data to obtain a processing result, when the processing result shows that the heartbeat system is abnormal, the service system continues service processing, the processing result performs keyword extraction to obtain a target keyword, a target abnormal class corresponding to the target keyword is determined according to a mapping relationship between a preset keyword and an abnormal class, a target abnormal processing policy corresponding to the target abnormal class is determined according to a mapping relationship between the preset abnormal class and the abnormal processing policy, the target abnormal processing policy is executed, and the reported data receiving and processing can be implemented through heartbeat data, the service system processes the service, on one hand, when the heartbeat system is abnormal, the service system still processes the service normally, normal processing of the service is guaranteed, and processing efficiency of the equipment is improved.
In accordance with the foregoing embodiments, please refer to fig. 3, fig. 3 is a schematic structural diagram of an electronic device provided in an embodiment of the present application, and as shown in the drawing, the electronic device includes a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and in an embodiment of the present application, the electronic device includes a heartbeat system and a business system, and the programs include instructions for performing the following steps:
receiving the uploaded data through the heartbeat system, wherein the service system is used for realizing service processing;
performing data processing on the uploaded data through the heartbeat system to obtain a processing result;
and when the processing result shows that the heartbeat system is abnormal, continuing the service processing through the service system.
It can be seen that, in the electronic device described in this embodiment of the present application, the electronic device includes a heartbeat system and a service system, receives upload data through the heartbeat system, the service system is configured to implement service processing, performs data processing on the upload data through the heartbeat system to obtain a processing result, when the processing result shows that the heartbeat system is abnormal, continues service processing through the service system, and implements reception and processing of report data through the heartbeat data, and the service system processes a service, and when the heartbeat system is abnormal, the service system still performs normal service processing, thereby ensuring normal service processing, and also improving device processing efficiency.
In one possible example, in the data processing of the upload data by the heartbeat system, resulting in a processing result, the program includes instructions for performing the following steps:
determining a target data source device identification of the uploaded data;
determining a target data processing parameter corresponding to the target data source equipment identifier according to a mapping relation between a preset equipment identifier and the data processing parameter;
and controlling the heartbeat system to perform data processing on the uploaded data according to the target data processing parameters to obtain a processing result.
In one possible example, in said receiving upload data by said heartbeat system, the above procedure comprises instructions for performing the following steps:
acquiring reference uploading data in a preset time period;
acquiring a data transmission curve of the reference uploading data, wherein the horizontal axis of the data transmission curve is time, and the vertical axis of the data transmission curve is data volume;
carrying out segmentation processing on the data transmission curve to obtain a plurality of segments;
determining the average data volume of each of the plurality of segments to obtain a plurality of average data volumes;
determining a target mean square error according to the plurality of average data volumes;
determining a target expectation from the plurality of average data volumes;
determining a reference time interval corresponding to the target expectation according to a mapping relation between a preset expectation and the time interval;
determining a target adjusting coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and an adjusting coefficient;
adjusting the reference time interval according to the target adjustment coefficient to obtain a first time interval;
and receiving upload data through the heartbeat system according to the first time interval.
In one possible example, in said continuing the business process through said business system, the above program includes instructions for performing the steps of:
determining a first idle resource and an occupied resource corresponding to the service system;
estimating the maximum demand resource of the service system in a specified time period;
determining a disposable idle resource according to the first idle resource and the maximum demand resource;
and controlling the service system to receive the uploaded data according to the disposable idle resources and continue service processing according to the occupied resources.
In one possible example, the program further comprises instructions for performing the steps of:
extracting keywords from the processing result to obtain target keywords;
determining a target abnormal grade corresponding to the target keyword according to a mapping relation between a preset keyword and the abnormal grade;
determining a target exception handling strategy corresponding to the target exception grade according to a mapping relation between a preset exception grade and an exception handling strategy;
and executing the target exception handling strategy.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that in order to implement the above functions, it includes corresponding hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the functional units may be divided according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 4 is a block diagram of functional units of a data processing apparatus 400 according to an embodiment of the present application, where the apparatus 400 is applied to an electronic device, where the electronic device includes a heartbeat system and a business system, and the apparatus 400 includes: a receiving unit 401, a first processing unit 402 and a second processing unit 403, wherein,
the receiving unit 401 is configured to receive the upload data through the heartbeat system, where the service system is configured to implement service processing;
the first processing unit 402 is configured to perform data processing on the uploaded data through the heartbeat system to obtain a processing result;
the second processing unit 403 is configured to continue service processing through the service system when the processing result shows that the heartbeat system is abnormal.
It can be seen that the data processing apparatus described in this embodiment of the present application is applied to an electronic device, where the electronic device includes a heartbeat system and a service system, receives upload data through the heartbeat system, the service system is configured to implement service processing, performs data processing on the upload data through the heartbeat system to obtain a processing result, when the processing result shows that the heartbeat system is abnormal, continues service processing through the service system, and can implement reported data reception and processing through the heartbeat data, and the service system processes a service, and when the heartbeat system is abnormal, the service system still performs normal service processing, thereby ensuring normal service processing, and also improving device processing efficiency.
In one possible example, in terms of the processing the uploaded data by the heartbeat system to obtain a processing result, the first processing unit 402 is specifically configured to:
determining a target data source device identification of the uploaded data;
determining a target data processing parameter corresponding to the target data source equipment identifier according to a mapping relation between a preset equipment identifier and the data processing parameter;
and controlling the heartbeat system to perform data processing on the uploaded data according to the target data processing parameters to obtain a processing result.
In one possible example, in terms of the receiving the upload data through the heartbeat system, the receiving unit 401 is specifically configured to:
acquiring reference uploading data in a preset time period;
acquiring a data transmission curve of the reference uploading data, wherein the horizontal axis of the data transmission curve is time, and the vertical axis of the data transmission curve is data volume;
carrying out segmentation processing on the data transmission curve to obtain a plurality of segments;
determining the average data volume of each of the plurality of segments to obtain a plurality of average data volumes;
determining a target mean square error according to the plurality of average data volumes;
determining a target expectation from the plurality of average data volumes;
determining a reference time interval corresponding to the target expectation according to a mapping relation between a preset expectation and the time interval;
determining a target adjusting coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and an adjusting coefficient;
adjusting the reference time interval according to the target adjustment coefficient to obtain a first time interval;
and receiving upload data through the heartbeat system according to the first time interval.
In one possible example, in terms of the continuing of the service processing through the service system, the second processing unit 403 is specifically configured to:
determining a first idle resource and an occupied resource corresponding to the service system;
estimating the maximum demand resource of the service system in a specified time period;
determining a disposable idle resource according to the first idle resource and the maximum demand resource;
and controlling the service system to receive the uploaded data according to the disposable idle resources and continue service processing according to the occupied resources.
In one possible example, when the processing result shows that the heartbeat system is abnormal, the apparatus 400 is further specifically configured to:
extracting keywords from the processing result to obtain target keywords;
determining a target abnormal grade corresponding to the target keyword according to a mapping relation between a preset keyword and the abnormal grade;
determining a target exception handling strategy corresponding to the target exception grade according to a mapping relation between a preset exception grade and an exception handling strategy;
and executing the target exception handling strategy.
It is to be understood that the functions of each program module of the data processing apparatus in this embodiment may be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process may refer to the relevant description of the foregoing method embodiment, which is not described herein again.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, the computer program enables a computer to execute part or all of the steps of any one of the methods as described in the above method embodiments, and the computer includes a control platform.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising the control platform.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A data processing method is applied to an electronic device, wherein the electronic device comprises a heartbeat system and a business system, and the method comprises the following steps:
receiving the uploaded data through the heartbeat system, wherein the service system is used for realizing service processing;
performing data processing on the uploaded data through the heartbeat system to obtain a processing result;
and when the processing result shows that the heartbeat system is abnormal, continuing the service processing through the service system.
2. The method of claim 1, wherein the data processing of the uploaded data by the heartbeat system to obtain a processing result comprises:
determining a target data source device identification of the uploaded data;
determining a target data processing parameter corresponding to the target data source equipment identifier according to a mapping relation between a preset equipment identifier and the data processing parameter;
and controlling the heartbeat system to perform data processing on the uploaded data according to the target data processing parameters to obtain a processing result.
3. The method of claim 1 or 2, wherein the receiving upload data via the heartbeat system comprises:
acquiring reference uploading data in a preset time period;
acquiring a data transmission curve of the reference uploading data, wherein the horizontal axis of the data transmission curve is time, and the vertical axis of the data transmission curve is data volume;
carrying out segmentation processing on the data transmission curve to obtain a plurality of segments;
determining the average data volume of each of the plurality of segments to obtain a plurality of average data volumes;
determining a target mean square error according to the plurality of average data volumes;
determining a target expectation from the plurality of average data volumes;
determining a reference time interval corresponding to the target expectation according to a mapping relation between a preset expectation and the time interval;
determining a target adjusting coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and an adjusting coefficient;
adjusting the reference time interval according to the target adjustment coefficient to obtain a first time interval;
and receiving upload data through the heartbeat system according to the first time interval.
4. The method of claim 1 or 2, wherein the continuing of the business process through the business system comprises:
determining a first idle resource and an occupied resource corresponding to the service system;
estimating the maximum demand resource of the service system in a specified time period;
determining a disposable idle resource according to the first idle resource and the maximum demand resource;
and controlling the service system to receive the uploaded data according to the disposable idle resources and continue service processing according to the occupied resources.
5. The method according to claim 1 or 2, wherein when the processing result shows that the heartbeat system is abnormal, the method further comprises:
extracting keywords from the processing result to obtain target keywords;
determining a target abnormal grade corresponding to the target keyword according to a mapping relation between a preset keyword and the abnormal grade;
determining a target exception handling strategy corresponding to the target exception grade according to a mapping relation between a preset exception grade and an exception handling strategy;
and executing the target exception handling strategy.
6. A data processing device is applied to an electronic device, the electronic device comprises a heartbeat system and a business system, and the device comprises: a receiving unit, a first processing unit and a second processing unit, wherein,
the receiving unit is used for receiving the uploaded data through the heartbeat system, and the service system is used for realizing service processing;
the first processing unit is used for performing data processing on the uploaded data through the heartbeat system to obtain a processing result;
and the second processing unit is used for continuing the service processing through the service system when the processing result shows that the heartbeat system is abnormal.
7. The apparatus according to claim 6, wherein in the aspect that the processing result is obtained by performing data processing on the uploaded data by the heartbeat system, the first processing unit is specifically configured to:
determining a target data source device identification of the uploaded data;
determining a target data processing parameter corresponding to the target data source equipment identifier according to a mapping relation between a preset equipment identifier and the data processing parameter;
and controlling the heartbeat system to perform data processing on the uploaded data according to the target data processing parameters to obtain a processing result.
8. The apparatus according to claim 6 or 7, wherein, in said receiving upload data via the heartbeat system, the receiving unit is specifically configured to:
acquiring reference uploading data in a preset time period;
acquiring a data transmission curve of the reference uploading data, wherein the horizontal axis of the data transmission curve is time, and the vertical axis of the data transmission curve is data volume;
carrying out segmentation processing on the data transmission curve to obtain a plurality of segments;
determining the average data volume of each of the plurality of segments to obtain a plurality of average data volumes;
determining a target mean square error according to the plurality of average data volumes;
determining a target expectation from the plurality of average data volumes;
determining a reference time interval corresponding to the target expectation according to a mapping relation between a preset expectation and the time interval;
determining a target adjusting coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and an adjusting coefficient;
adjusting the reference time interval according to the target adjustment coefficient to obtain a first time interval;
and receiving upload data through the heartbeat system according to the first time interval.
9. An electronic device comprising a processor, a memory for storing one or more programs and configured for execution by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-5.
10. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-5.
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