CN113269435A - New energy station running state coupling monitoring and evaluating system - Google Patents
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Abstract
The invention discloses a new energy station running state coupling monitoring and evaluating system which comprises a monitoring data acquisition module, a monitoring data acquisition module and a monitoring data acquisition module, wherein the monitoring data acquisition module is used for constructing a new energy station simulation model for a new energy station according to running state data of the new energy station to obtain the running state of the new energy station at the next moment; the monitoring index determining module determines energy consumption monitoring indexes of different energy media according to the resistance-capacitance coupling characteristics and the direct coupling characteristics; the unit monitoring index determining module is used for constructing an atmospheric and vacuum equipment comprehensive energy consumption model according to the energy consumption and the energy consumption rate of each energy medium and determining a unit energy consumption monitoring index; and the monitoring data evaluation module evaluates the running state of the new energy station according to the energy consumption monitoring indexes of different energy media and the unit energy consumption monitoring index to obtain an optimal energy consumption compensation scheme. And connecting the monitoring data of each station to a new energy station information model, determining monitoring indexes of energy consumption of different media, providing a plurality of unit consumption indexes, and comprehensively evaluating the energy consumption.
Description
Technical Field
The invention relates to the technical field of new energy stations, in particular to a coupling monitoring and evaluating system for an operation state of a new energy station.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
In recent years, with the large-scale development and utilization of new energy in China, the operating pressure of new energy stations is getting larger and larger. The new energy station mode is convenient and clean, and meanwhile, the operation safety is emphasized; the current research results of the monitoring method for the running state of the new energy station are few, the traditional monitoring system mainly comprises a five-prevention system, an SCADA system, a box transformer substation monitoring system and an SVG reactive power compensation device system, but in the production and operation processes, the data interaction with the system on the existing monitoring platform is difficult, the monitoring platform needs to be monitored independently, the coupling monitoring cannot be realized, and the workload of monitoring personnel is increased due to the fact that the whole working state of a power plant cannot be mastered.
Disclosure of Invention
In order to solve the problems, the invention provides a new energy station running state coupling monitoring and evaluating system, which comprises the steps of constructing a high-precision virtual simulation model, connecting monitoring data of each station to a new energy station information model, determining monitoring indexes of energy consumption of different media in a model layer, establishing an atmospheric and vacuum equipment comprehensive energy consumption model according to the energy consumption and the energy consumption rate of each energy medium, and providing a plurality of unit consumption indexes to comprehensively evaluate the energy consumption and reflect the energy utilization level.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a new energy station operation state coupling monitoring and evaluation system, including:
the monitoring data acquisition module is configured to perform panoramic modeling on the new energy station according to the running state data of the new energy station, construct a new energy station simulation model, and obtain the running state of the new energy station at the next moment according to the new energy station simulation model;
the monitoring index determining module is configured to determine energy consumption monitoring indexes of different energy media according to the resistance-capacitance coupling characteristics and the direct coupling characteristics of the operation state data;
the unit monitoring index determining module is configured to construct an atmospheric and vacuum equipment comprehensive energy consumption model according to the energy consumption and the energy consumption rate of each energy medium, and determine unit energy consumption monitoring indexes of unit crude oil equivalent, unit crude oil steam equivalent and unit crude oil energy consumption monitoring data according to the atmospheric and vacuum equipment comprehensive energy consumption model;
and the monitoring data evaluation module is configured to evaluate the operation state of the new energy station according to the energy consumption monitoring indexes of different energy media and the unit energy consumption monitoring index to obtain an optimal energy consumption compensation scheme.
In a second aspect, the invention provides a new energy station operation state coupling monitoring and evaluation method, which includes:
carrying out panoramic modeling on the new energy station according to the running state data of the new energy station, constructing a new energy station simulation model, and obtaining the running state of the new energy station at the next moment according to the new energy station simulation model;
determining energy consumption monitoring indexes of different energy media according to the resistance-capacitance coupling characteristics and the direct coupling characteristics of the operating state data;
constructing an atmospheric and vacuum equipment comprehensive energy consumption model according to the energy consumption and the energy consumption rate of each energy medium, and determining unit energy consumption monitoring indexes of unit crude oil equivalent, unit crude oil steam equivalent and unit crude oil energy consumption monitoring data according to the atmospheric and vacuum equipment comprehensive energy consumption model;
and evaluating the running state of the new energy station according to the energy consumption monitoring indexes of different energy media and the unit energy consumption monitoring index to obtain an optimal energy consumption compensation scheme.
In a third aspect, the present invention provides an electronic device comprising a memory and a processor, and computer instructions stored on the memory and executed on the processor, wherein when the computer instructions are executed by the processor, the method of the second aspect is performed.
In a fourth aspect, the present invention provides a computer readable storage medium for storing computer instructions which, when executed by a processor, perform the method of the second aspect.
Compared with the prior art, the invention has the beneficial effects that:
the method adopts the three-dimensional imaging technology of the latest equipment to construct a high-precision virtual simulation model, connects the monitoring data to the information model of the new energy station, acquires the monitoring data of each model in real time on line, records the data in the station in real time through a simulation scene, and checks related equipment, thereby meeting the requirements of safe and efficient operation, data monitoring and accident prevention, ensuring the real-time monitoring of the operation state of the new energy station and ensuring the modernized operation of the new energy station.
The invention provides a new energy station operation state coupling monitoring model based on data mining, and the monitoring model in new energy station construction is developed by combining a modern new energy station and a monitoring planning design, so that the development and optimization of the new energy station monitoring design are promoted, a dynamic monitoring model is applied to the new energy station construction, and the station operation safety is ensured.
According to the method, monitoring indexes of energy consumption of different media are determined on a model layer, meanwhile, on the basis, an integrated energy consumption EC model of the atmospheric and vacuum equipment is established according to the energy consumption and the energy consumption rate of each energy medium, and a plurality of unit consumption indexes are provided so as to comprehensively evaluate the energy consumption and reflect the energy utilization level.
The method and the system are based on the new energy panoramic image, perform analysis and evaluation on new energy consumption and automatic generation of an energy consumption analysis report, realize effective monitoring and unified scheduling of information such as basic management information, relevant operation parameters and equipment operation states of the new energy station, and realize display of regional thematic information through fragment data.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
Fig. 1 is a model diagram of monitoring an operation state of a new energy station according to embodiment 1 of the present invention;
fig. 2 is a framework diagram of processing information for monitoring an operation state of a new energy station according to embodiment 1 of the present invention;
fig. 3 is a flowchart of processing steps of monitoring information of an operation state of a new energy station according to embodiment 1 of the present invention;
fig. 4 is a monitoring model data collection service management framework diagram provided in embodiment 1 of the present invention;
fig. 5 is a structural diagram of a functional module of an energy efficiency monitoring model according to embodiment 1 of the present invention;
fig. 6 is a functional diagram of an operation status monitoring function sub-module provided in embodiment 1 of the present invention;
fig. 7 is a flow chart of coupling monitoring of the operation state of the optimized post-station according to embodiment 1 of the present invention;
fig. 8 is a comparative analysis chart of the operation state monitoring result provided in embodiment 1 of the present invention.
The specific implementation mode is as follows:
the invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and it should be understood that the terms "comprises" and "comprising", and any variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
Example 1
The embodiment provides a new energy station running state coupling monitoring evaluation system, includes:
the monitoring data acquisition module is configured to perform panoramic modeling on the new energy station according to the running state data of the new energy station, construct a new energy station simulation model, and obtain the running state of the new energy station at the next moment according to the new energy station simulation model;
the monitoring index determining module is configured to determine energy consumption monitoring indexes of different energy media according to the resistance-capacitance coupling characteristics and the direct coupling characteristics of the operation state data;
the unit monitoring index determining module is configured to construct an atmospheric and vacuum equipment comprehensive energy consumption model according to the energy consumption and the energy consumption rate of each energy medium, and determine unit energy consumption monitoring indexes of unit crude oil equivalent, unit crude oil steam equivalent and unit crude oil energy consumption monitoring data according to the atmospheric and vacuum equipment comprehensive energy consumption model;
and the monitoring data evaluation module is configured to evaluate the operation state of the new energy station according to the energy consumption monitoring indexes of different energy media and the unit energy consumption monitoring index to obtain an optimal energy consumption compensation scheme.
In order to better apply a dynamic monitoring mode to daily management of a new energy station, standardize the behavior of the new energy station, realize on-site dynamic monitoring and data extraction of the new energy station, measure all monitoring points of the new energy station by combining a data mining technology, the embodiment adopts a three-dimensional imaging technology of latest equipment, construct a high-precision virtual simulation model, connect monitoring data to an existing new energy station information model, acquire the monitoring data of each model in real time on line, record data in the station in real time through a simulation scene, and check related equipment, thereby meeting the requirements of safe and efficient operation, data monitoring and accident prevention, ensuring the real-time monitoring of the operation state of the new energy station, and ensuring the modern operation of the new energy station.
In order to realize the acquisition, arrangement, maintenance and uploading of basic data in the dispatching automation mode and the dynamic synchronization and acquisition mechanism of service data between the trans-provincial modes, the embodiment proposes the design concept of "source end maintenance and whole network sharing" and constructs a new energy station operation state monitoring model, as shown in fig. 1; on the basis of monitoring and analyzing the operation state monitoring access point of the new energy station, the new energy unified scheduling panoramic model determines the complete attributes of various new energy equipment target objects by combining the relevant parameters of the new energy network, establishes and divides new energy logical partitions, and provides more visual information for the operation management of new energy.
Based on the structure shown in fig. 1, in the embodiment, a high-precision virtual simulation scene model of the new energy station is established by using a three-dimensional imaging technology, and is in seamless butt joint with monitoring data information models of each energy station, each model is processed and analyzed through an information center model, and monitoring data of each model is real-time and online;
according to the new energy station simulation model, the dynamic characteristic analysis of the new energy station is carried out based on a mathematical model and normal distribution data, namely, the running state of the new energy station is subjected to panoramic modeling through the running state data of the new energy station, the power prediction is carried out through historical storage data and operation analysis, and the running state of the new energy station at the next moment is predicted, so that the optimal compensation measure or emergency plan is obtained; the model can save a large amount of resources, improve the efficiency and time of safety control, and workers can perform equipment inspection, maintenance training and work examination in a simulation scene, so that the working efficiency is greatly improved, the working period is shortened, and the operation safety risk is reduced.
As shown in fig. 2, the new energy station operation state monitoring information processing framework mainly includes three aspects of information acquisition, online detection and energy consumption analysis, wherein the information acquisition is mainly responsible for user file management, external data and collection tasks are acquired and managed, the online detection is enterprise energy consumption detection, and user total energy consumption analysis, unit energy consumption analysis and energy-saving engineering energy consumption analysis are implemented.
And real-time storage and processing of the running state monitoring information are carried out based on the framework, and massive detection information is obtained so as to be convenient for screening and detection. The design of an information center processing mode is realized through the processing of components such as a database, access, management, comparison, processing, calculation, storage and the like, the joint and cooperation of all departments form the processing mode of an information center, the collected data is processed and managed, the exchange, comparison and feedback of various data information are completed, the management, interaction, processing, storage and forwarding are integrated, and the stability, safety and reliability of the information center processing mode are ensured; and then checking all historical monitoring data through program control, providing various statistical data, and responding to alarm information in time. The mode realizes the clustering of new energy station safety monitoring management, is equivalent to that the front end analyzes according to a specific professional scheme on the basis of carrying out preliminary treatment on each module, and removes accurate and effective data information required by the front end.
Specifically, in the process of determining the energy consumption monitoring index, the method includes: by utilizing technologies such as artificial intelligence and neural networks, relationships, modes and trends with potential, implicit, previously unknown and potential values are mined from massive new energy station operation state data, and the knowledge and rules are used for modeling to provide new energy station operation state prediction, so that decision service is provided for new energy station operation.
The embodiment determines a potential energy consumption mode by adopting cluster analysis, extracts an inverse signal from energy consumption time sequence data, calculates image energy consumption based on a feature vector, averages cavg consumed per hour, and maximizes cmax consumed per hour, namely: and D ═ calg, cmax), assuming that the new energy station operation state coupling characteristics, namely the resistance-capacitance coupling characteristic and the direct coupling characteristic are k, then:
wherein f is represented by K data features, xiAll features expressed as data;
further calculating the coupling characteristics of the new energy station operation state to obtain:
wherein Obj (theta) is the total value of the resistance-capacitance coupling characteristics, omega is the resistance value, yi,
Respectively, instantaneous and average values of resistance-capacitance, l is the number of field station transformers, obj (t) is the total value of direct coupling characteristics, giAs resistance error, wq(x1)For operating unit amount, hiIs capacitance error, gamma is coupling error, T is power equipment operation period, wjIs an operating state variable.
The objective functions of the resistance-capacitance coupling characteristic and the direct coupling characteristic are:
after deleting all constant terms, obtaining the tth element of the objective function:
wherein f isi(xi) For direct coupling of instantaneous monitoring values, ft 2(xi) The average monitored value is directly coupled.
The formula for further calculating the energy consumption index is as follows:
MSCON4＝9.2MSIN7+0.1MSIN8+2.3MSIN9+0.17MSIN10-0.8MSOUT1-0.8MSOUT2(7)；
wherein, MSIN1MSIN for minimum energy consumption2MSIN for energy operation safety3For the total value of energy consumption, MSIN4Is the total value of unit energy consumption, MSIN5The energy consumption is the total energy-saving energy consumption value.
Determining monitoring indexes of energy consumption of different media in a model layer by establishing the monitoring indexes, and carrying out energy statistics in a certain time; the comprehensive energy consumption is to comprehensively calculate various energy consumptions, namely after unified conversion, the total amount of various energy media consumed reflects the absolute index of energy consumption, the energy consumption is large, the comprehensive energy consumption is high, but the energy utilization level cannot be reflected; therefore, in this embodiment, on the basis of energy saving monitoring, an integrated energy consumption EC model of the atmospheric and vacuum equipment is established according to the energy consumption and the energy consumption rate of each energy medium, that is:
wherein ASOUT is the energy consumption of each energy medium in the normal pressure reduction device, RSiAnd RSuiThe energy consumption rates of the energy media are calculated respectively.
However, the utilization of the above indexes is not enough to comprehensively evaluate the energy usage, so on the basis of defining the energy efficiency, an evaluation index of the energy efficiency of the atmospheric slag yard is defined:
the ESS is an energy efficiency model of the atmospheric and vacuum equipment, namely the energy consumption output of a unit product; ASPiEnergy consumption of each device;
the energy utilization efficiency of the atmospheric and vacuum unit increases with the increase of the numerical value, and in order to evaluate the use effect of various energy media, the embodiment proposes a unit consumption index: unit crude oil equivalent, unit crude oil steam equivalent and unit crude oil energy consumption monitoring data;
and evaluating the running state of the new energy station based on the obtained energy consumption monitoring indexes of different energy media and the unit energy consumption monitoring index so as to obtain an optimal energy consumption compensation scheme.
In the embodiment, by collecting and storing information such as meteorological conditions, data information and images of a new energy station site, monitoring images, alarm prompts and data acquisition within 24 hours is realized through real-time receiving and sending alarm information and network transmission, so that managers can conveniently check and master dynamic conditions of all time periods at any time, and any abnormal and dangerous factors can be detected by utilizing a video monitoring technology.
Meanwhile, on the basis of information acquisition, a dynamic monitoring model is adopted to transmit information, pipeline leakage detection modules, rail edge detection modules, ground label detection modules, pipeline line ground environment monitoring modules, pipeline valves, flanges, compensators and other pipeline element detection modules are established, and new energy equipment maintenance modules are added. In the process of information transmission, pre-classification analysis and on-site condition preprocessing are carried out, wiring difficulty is reduced according to the actual condition of the new energy station, cost is reduced, the damage is not easy, maintenance cost is reduced, the flexible multiplexing is realized, the information center processing mode can be accurately and quickly transmitted, and cost input and labor cost are reduced.
As shown in fig. 3, the method is based on the idea of panoramic modeling, and performs real-time statistical analysis on the operation data of the "area-field" device in different spatial dimensions, and based on the statistical analysis, optimizes the monitoring information processing steps of the new energy station operation state, specifically: the method comprises the steps of collecting wind power plant fan parameter data and photovoltaic power plant inverter parameters, and carrying out real-time statistics on the parameter values to obtain a short-term load predicted value so as to predict the operation state information of the new energy station.
As shown in fig. 4, the present embodiment optimizes the data processing framework; the energy efficiency data is the key of the basis and decision analysis of energy efficiency management and also an important means for providing external services, an energy consumption structure is researched, new energy behaviors of users can be known, data support is provided for governments to formulate demands and ordered new energy policies, new energy data is analyzed and mined, national industrial prosperity indexes can be combined with national economic indexes, economic development trends are analyzed and mined, bases are provided for governments to formulate macroscopic economic policies, user demands are known, and assistance is provided for production planning.
In the embodiment, in a monitoring model data acquisition service management framework, a service process is realized through a database, front-end operation and maintenance management is realized through an interface service process, and core engine services include data management, operation monitoring, communication and acquisition task management. The coupling monitoring of the operation state of the new energy station is carried out based on the steps, so that the mass data can be reasonably processed better, and the transformation and scientificity of the monitoring of the operation state of the station are guaranteed.
In the embodiment, data can be updated, added, deleted and modified more conveniently through data acquisition; loading the data into a data set by the application program to provide a cache required by the application program, and then using the data to read and use the temporarily stored data; meanwhile, a maintenance function is provided, the change of data is maintained, and the like, and after the data is updated, the tracking program is also changed and is used for displaying the customer database; the data information combines the BindingSource data group with the DataGridView control through the DataGridView control and through the dam, so that the data display is visual and convenient, and the data adding, searching, saving and deleting capabilities are realized.
According to the method, on the basis of operation scheduling evaluation analysis of the new energy field station network, a new energy field station network energy utilization evaluation system is further constructed, a panorama of a new energy related field is taken as a basis, the method mainly comprises new energy consumption analysis evaluation, automatic generation of an energy consumption analysis report and the like, information such as basic management information, related operation parameters and equipment operation states of the new energy field station operation state is effectively monitored and uniformly scheduled, and display of regional thematic information is achieved through fragment data.
According to the requirements of standard operation management of new energy, dynamic generation, intelligent verification and automatic reporting of new energy daily operation reports are realized, the definition and statistical method of report statistical indexes are standardized, reports are classified from data objects and time dimensions, templated management is carried out on the data reports, real-time dynamic adjustment is carried out according to superior requirements, quick response of data resources is realized, further, through investigation on performance requirements, the performance requirements of a model are summarized, and the performance indexes, capacity indexes, data indexes and the like are summarized, which is specifically shown in table 1:
table 1 station operation state performance monitoring index
By establishing the energy efficiency monitoring model, real-time monitoring, flexible deployment and unified management are realized, and along with the expansion of a monitoring range and the increase of storage capacity, the energy efficiency monitoring model can be flexibly adjusted under the condition of not being greatly adjusted.
As shown in fig. 5, the station operation state monitoring model is divided into five sub-models: the system comprises a user information collection sub-model, an enterprise electricity utilization online detection sub-model, an enterprise energy consumption analysis sub-model, an enterprise energy efficiency standard and evaluation sub-model and a system support sub-model; the user information collection sub-model is responsible for collecting user information, electricity utilization detection and energy consumption analysis are achieved through the enterprise electricity utilization online detection sub-model and the enterprise energy consumption analysis sub-model, energy consumption assessment is achieved through the enterprise energy efficiency standard and the assessment sub-model, and functional decision is achieved through the system support sub-model.
As shown in fig. 6, before and after the field station operation state monitoring project is implemented, the field station operation state monitoring effect is obtained by comparing the comprehensive data such as energy consumption, load, electric quantity, power factor and the like, and the operation state monitoring function sub-module function structure is further optimized; namely, a three-dimensional imaging technology is further adopted to establish a virtual simulation scene and a high-precision model, and a field reaction means is rapidly obtained.
To ensure the reasonableness and safety of the implementation of the scheme, data support needs to be provided for the scheme feedback model. The scheme obtained by monitoring is applied to an event occurrence site through a gas related module, data is reprocessed and analyzed, and a processing result is fed back to an information center; and comparing and monitoring the final design scheme by combining a high-precision model, and monitoring the safe and reasonable operation of the natural gas filling station by establishing a multi-layer energy consumption model according to the correlation among all parameters according to the layer energy consumption model shown in figure 7.
To ensure the smooth implementation of the energy station operation state coupling monitoring project, at least one energy management manager must be assigned, and the energy management manager is responsible for the production activities related to energy, and establishes new positions and responsibilities that are favorable for executing the energy management project, and monitors the index data of each station in real time, and the data items are shown in table 2.
TABLE 2 monitoring data Specifications
According to the definition of energy monitoring, energy monitoring mainly means that an energy user can effectively and reasonably configure and monitor energy when using energy, so that the energy becomes an efficient and clean process, the energy consumption is reduced to the maximum extent, and accurate monitoring of the running state of a new energy station is a necessary condition for establishing and effectively running an energy management system.
In order to verify the application effect of the new energy station operation state coupling monitoring model based on data mining, experimental detection is carried out in the embodiment; in order to better simulate the effect of a formal environment, the settings of software configuration information, middleware deployment parameters and database deployment parameters in a test environment are the same as those in an actual environment, but in a hardware environment, a server is configured as a single machine, and the feedback information of a user is obtained through the communication between the whole interface and a terminal user; the experimental parameters are shown in table 3:
table 3 experimental parameter settings
Further statistical monitoring of the recognition model takes longer, and the statistical results are shown in table 4:
TABLE 4 station operating status monitoring data identification time statistics
Further, the pixel-time ratio is used as an identification efficiency index to compare and detect the state monitoring effect, as shown in fig. 8, an experimental result shows that the monitoring method can effectively improve the comprehensive utilization efficiency of energy, solves the problem of low precision of the conventional monitoring method, has a good popularization and application prospect, and is regarded as a main direction of new energy development by many regions due to good stability and monitoring effect of new energy monitoring.
Example 2
The embodiment provides a new energy station operation state coupling monitoring and evaluating method, which comprises the following steps:
carrying out panoramic modeling on the new energy station according to the running state data of the new energy station, constructing a new energy station simulation model, and obtaining the running state of the new energy station at the next moment according to the new energy station simulation model;
determining energy consumption monitoring indexes of different energy media according to the resistance-capacitance coupling characteristics and the direct coupling characteristics of the operating state data;
constructing an atmospheric and vacuum equipment comprehensive energy consumption model according to the energy consumption and the energy consumption rate of each energy medium, and determining unit energy consumption monitoring indexes of unit crude oil equivalent, unit crude oil steam equivalent and unit crude oil energy consumption monitoring data according to the atmospheric and vacuum equipment comprehensive energy consumption model;
and evaluating the running state of the new energy station according to the energy consumption monitoring indexes of different energy media and the unit energy consumption monitoring index to obtain an optimal energy consumption compensation scheme.
In further embodiments, there is also provided:
an electronic device comprising a memory and a processor and computer instructions stored on the memory and executed on the processor, the computer instructions when executed by the processor performing the method described in embodiment 2. For brevity, no further description is provided herein.
It should be understood that in this embodiment, the processor may be a central processing unit CPU, and the processor may also be other general purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate arrays FPGA or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and so on. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may include both read-only memory and random access memory, and may provide instructions and data to the processor, and a portion of the memory may also include non-volatile random access memory. For example, the memory may also store device type information.
A computer readable storage medium storing computer instructions which, when executed by a processor, perform the method described in embodiment 2.
The method in embodiment 2 may be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor. The software modules may be located in ram, flash, rom, prom, or eprom, registers, among other storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor. To avoid repetition, it is not described in detail here.
Those of ordinary skill in the art will appreciate that the various illustrative elements, i.e., algorithm steps, described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. 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.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
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