CN119128220A - A data recording method and system for temperature sensor - Google Patents

The invention relates to the technical field of temperature sensors, and discloses a data recording method and a system for a temperature sensor, wherein the system comprises an acquisition unit; the device comprises a transfer unit, a judging unit, a processing unit and a storage recording unit, wherein the judging unit is used for comparing the first difference value with a preset first difference value threshold value and judging the abnormal grade of the temperature data according to the comparison result, the processing unit is used for adjusting the abnormal grade of the temperature data according to the relation between the second difference value and a preset second difference value threshold value, and the storage recording unit is used for storing and recording the adjusted temperature data according to the abnormal grade. The data recording method and system for the temperature sensor have high flexibility and accuracy, and ensure the effectiveness and reliability of the temperature recording system through comprehensive analysis and refinement of temperature data.

Data recording method and system for temperature sensor

Technical Field

The invention relates to the technical field of temperature sensors, in particular to a data recording method and system for a temperature sensor.

Background

Along with the progress of science and technology and the improvement of industrial automation degree, the application of temperature sensor in each field is more and more extensive, and from the temperature monitoring of industrial production line to the room temperature regulation of intelligent house, the accurate measurement of temperature sensor is all kept away from. However, in practical application, due to various reasons such as environmental factors, equipment aging or human misoperation, abnormality can occur in the data of the temperature sensor during recording, and the effectiveness and reliability of the whole data recording system are reduced.

Therefore, there is a need to design a data recording method and system for a temperature sensor to solve the problems in the prior art.

Disclosure of Invention

In view of this, the invention provides a data recording method and system for a temperature sensor, which aims to solve the problems that in the prior art, due to various reasons such as environmental factors, equipment aging or human misoperation, the data of the temperature sensor can be abnormal during recording, and the effectiveness and reliability of the whole data recording system are reduced.

In one aspect, the present invention provides a data recording system for a temperature sensor, comprising:

the acquisition unit is used for acquiring temperature data of the temperature sensor in real time and storing the temperature data into the storage library;

The transfer unit is used for screening the temperature data in the storage library, establishing a normal temperature data set and an abnormal temperature data set according to screening results, and sending the normal temperature data set and the abnormal temperature data set to the judging unit;

The judging unit is used for receiving the normal temperature data set and the abnormal temperature data set, calculating an average temperature value and a maximum temperature fluctuation value of the temperature data in the normal temperature data set, calculating a first difference value between the temperature data and the average temperature value in the abnormal temperature data set, comparing the first difference value with a preset first difference value threshold, and judging the abnormal grade of the temperature data according to a comparison result;

The processing unit is used for calculating the temperature fluctuation value of the temperature data in the abnormal temperature data set and the corresponding historical moment temperature data after determining the abnormal level of the temperature data, calculating a second difference value between the temperature fluctuation value and the maximum temperature fluctuation value, and then adjusting the abnormal level of the temperature data according to the relation between the second difference value and a preset second difference value threshold;

and the storage and recording unit is used for storing and recording the adjusted temperature data according to the abnormal grade.

Further, when the transfer unit is configured to screen the temperature data in the repository and establish a normal temperature data set and an abnormal temperature data set according to a screening result, the transfer unit includes:

dividing the temperature data in the repository according to a time period;

Calculating variances of all temperature data in the same time period, comparing the variances with a preset variance threshold, and judging according to comparison results;

temporarily adding all temperature data within the same time period to the normal temperature dataset when the variance is less than or equal to the variance threshold;

when the variance is greater than the variance threshold, adding all temperature data within the same time period to the abnormal temperature dataset.

Further, when the variance is less than or equal to the variance threshold, after temporarily adding all the temperature data in the same time period to the normal temperature data set, the method further includes:

And presetting a temperature standard value, then carrying out difference on all the temperature data in the same time period with the temperature standard value one by one to obtain a third difference value, comparing the third difference value with a preset third difference value threshold value, and judging whether to transfer the temperature data into the abnormal temperature data set according to a comparison result.

Further, comparing the third difference value with a preset third difference value threshold, and judging whether to transfer the temperature data into the abnormal temperature data set according to the comparison result, wherein the method comprises the following steps:

When the third difference is less than or equal to the third difference threshold, retaining the temperature data to the normal temperature dataset;

And when the third difference value is greater than the third difference value threshold value, transferring the temperature data into the abnormal temperature data set.

Further, the determining unit is further configured to calculate a first difference between the temperature data in the abnormal temperature data set and the average temperature value, compare the difference with a preset first difference threshold, and when determining, according to a comparison result, an abnormal level of the temperature data, the determining unit includes:

The first difference threshold includes a first lowest difference threshold and a first highest difference threshold;

When the first difference value is smaller than or equal to the first lowest difference value threshold value, judging that the abnormal grade of the temperature data is a first grade;

When the first difference value is larger than the first lowest difference value threshold value and smaller than or equal to the first highest difference value threshold value, judging that the abnormal grade of the temperature data is a second grade;

when the first difference value is larger than the first highest difference value threshold value, judging that the abnormal grade of the temperature data is a third grade;

Wherein the first level is less than the second level and the second level is less than the third level.

Further, the processing unit is configured to calculate, after determining the abnormal level of the temperature data, a temperature fluctuation value of the temperature data in the abnormal temperature data set and the corresponding historical time temperature data, and calculate a second difference value between the temperature fluctuation value and the maximum temperature fluctuation value, where the second difference value includes:

The historical time temperature data are corresponding historical time temperature data in the same time period, and the maximum temperature fluctuation value is the difference value between the maximum temperature data and the minimum temperature data in the normal temperature data set.

Further, when the abnormal level of the temperature data is adjusted according to the relation between the second difference value and a preset second difference value threshold, the method includes:

The second difference threshold includes a second lowest difference threshold and a second highest difference threshold;

when the second difference value is smaller than or equal to the second lowest difference value threshold value, reducing the abnormal grade of the temperature data;

when the second difference value is larger than the second lowest difference value threshold value and smaller than or equal to a second highest difference value threshold value, maintaining the abnormal level of the current temperature data unchanged;

And when the second difference value is larger than the second highest difference value threshold value, the abnormal grade of the temperature data is adjusted to be high.

Further, when the processing unit determines to lower the abnormality level of the temperature data, it includes:

When the second difference value is smaller than or equal to the second lowest difference value threshold value, the second lowest difference value threshold value and the second difference value are subjected to difference to obtain a fourth difference value;

comparing the fourth difference value with a preset fourth difference value threshold value, and adjusting the abnormal level of the temperature data according to the comparison result;

When the fourth difference value is smaller than or equal to the fourth difference value threshold value, determining that the abnormal level of the temperature data is reduced by two stages;

When the fourth difference value is larger than the fourth difference value threshold value, determining that the abnormal level of the temperature data is lowered by one level;

wherein the lowest of the abnormal levels of the temperature data is adjusted to the first level.

Further, when the processing unit determines to raise the abnormality level of the temperature data, it includes:

When the second difference value is larger than the second highest difference value threshold value, the second highest difference value threshold value and the second difference value are subjected to difference to obtain a fifth difference value;

Comparing the fifth difference value with a preset fifth difference value threshold value, and adjusting the abnormal level of the temperature data according to the comparison result;

when the fifth difference value is smaller than or equal to the fifth difference value threshold value, determining that the abnormal level of the temperature data is increased by one level;

When the fifth difference value is larger than the fifth difference value threshold value, determining that the abnormal level of the temperature data is increased by two stages;

wherein the highest of the abnormal levels of the temperature data is tuned to the third level.

Compared with the prior art, the data recording system for the temperature sensor has the advantages that in the data recording system for the temperature sensor, the acquisition unit is used for acquiring temperature data in real time, so that the system can be ensured to rapidly capture each fine fluctuation of temperature change, a solid foundation is provided for subsequent data analysis and processing, the transfer unit is a bridge for data processing, the transfer unit can rapidly distinguish normal and abnormal temperature data through preliminary screening of the acquired temperature data, the workload of the subsequent processing unit is relieved, the response speed and accuracy of the whole system are improved, the judgment unit is used for carrying out deep analysis and judgment on the temperature data according to preset rules and thresholds, a datum line can be established by calculating the average value and fluctuation range of a normal temperature data set, and used for evaluating the normal or abnormal condition of the subsequent temperature data, the judgment unit is used for determining the abnormal level of the abnormal temperature data by calculating the difference value of the datum line and comparing the abnormal level with the preset thresholds, the abnormal level is more objective judgment and accurate, the abnormal temperature data is more refined by the method of the quantization analysis, the temperature data is processed by the preset rules and the temperature fluctuation level, the temperature level is better than the preset threshold value, the abnormal level is adjusted by the temperature level is better than the threshold value, the temperature level is better adjusted by the threshold level adjustment of the temperature level adjustment of the abnormal temperature data, and the abnormal level is better than the threshold is adjusted by the threshold level adjustment of the threshold, and the abnormal level is better than the threshold adjusted, the storage and recording unit stores the adjusted temperature data according to the abnormal grade in a classified manner, so that the method is convenient for subsequent data query and analysis, and precious data support can be provided for optimization and improvement of the system.

In another aspect, the present invention also provides a data recording method for a temperature sensor, including the steps of:

s100, acquiring temperature data of a temperature sensor in real time, and storing the temperature data into a storage library;

S200, screening the temperature data in the storage library, and establishing a normal temperature data set and an abnormal temperature data set according to a screening result;

s300, calculating an average temperature value and a maximum temperature fluctuation value of the temperature data in the normal temperature data set, calculating a first difference value between the temperature data and the average temperature value in the abnormal temperature data set, comparing the first difference value with a preset first difference value threshold, and judging the abnormal grade of the temperature data according to a comparison result;

s400, after determining abnormal grades of the temperature data, calculating temperature fluctuation values of the temperature data in the abnormal temperature data set and corresponding historical moment temperature data, calculating a second difference value between the temperature fluctuation values and the maximum temperature fluctuation value, and then adjusting the abnormal grades of the temperature data according to the relation between the second difference value and a preset second difference value threshold;

And S500, storing and recording the adjusted temperature data according to the abnormal grade.

It can be appreciated that the data recording method and system for the temperature sensor have the same beneficial effects, and are not described herein.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:

FIG. 1 is a block diagram of a data recording system for a temperature sensor according to an embodiment of the present invention;

fig. 2 is a flowchart of a data recording method for a temperature sensor according to an embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.

Referring to fig. 1, in some embodiments of the present application, there is provided a data recording system for a temperature sensor, including:

the acquisition unit is used for acquiring temperature data of the temperature sensor in real time and storing the temperature data into the storage library;

The transfer unit is used for screening the temperature data in the storage library, establishing a normal temperature data set and an abnormal temperature data set according to screening results, and sending the normal temperature data set and the abnormal temperature data set to the judging unit;

The judging unit is used for receiving the normal temperature data set and the abnormal temperature data set, calculating an average temperature value and a maximum temperature fluctuation value of the temperature data in the normal temperature data set, calculating a first difference value between the temperature data and the average temperature value in the abnormal temperature data set, comparing the first difference value with a preset first difference value threshold, and judging the abnormal grade of the temperature data according to a comparison result;

The processing unit is used for calculating the temperature fluctuation value of the temperature data in the abnormal temperature data set and the corresponding historical moment temperature data after determining the abnormal level of the temperature data, calculating a second difference value between the temperature fluctuation value and the maximum temperature fluctuation value, and then adjusting the abnormal level of the temperature data according to the relation between the second difference value and a preset second difference value threshold;

and the storage and recording unit is used for storing and recording the adjusted temperature data according to the abnormal grade.

It can be seen that in the data recording system for a temperature sensor provided in this embodiment, the acquisition unit is used for acquiring temperature data in real time, which can ensure that the system can rapidly capture each fine fluctuation of temperature change, thereby providing a solid foundation for subsequent data analysis and processing, the transfer unit is a bridge for data processing, the transfer unit can rapidly distinguish normal and abnormal temperature data by primarily screening the acquired temperature data, which reduces the workload of the subsequent processing unit, and improves the response speed and accuracy of the whole system, the judgment unit is used for performing deep analysis and judgment on the temperature data according to preset rules and thresholds, a datum line can be established by calculating the average value and fluctuation range of a normal temperature data set, and is used for evaluating the normal or abnormal condition of the subsequent temperature data, the judgment unit is used for determining the abnormal level of the abnormal temperature data by calculating the difference value between the abnormal temperature data and the datum line and comparing the preset thresholds, the abnormal temperature data is more objective and accurate, the processing unit is used for accurately judging the abnormal temperature data by the abnormal condition of the temperature data, the temperature level of the critical temperature data is better adjusted by the preset rules and the threshold value, the abnormal temperature level is better compared with the threshold value of the threshold value, the abnormal temperature level is better adjusted, the abnormal temperature level is better compared with the abnormal level of the abnormal temperature data is better, the abnormal temperature level is better calculated, the abnormal level is better, the abnormal temperature is better compared, and the abnormal, the abnormal level is better than the abnormal, and has better than the abnormal level, and has better temperature quality, the storage and recording unit stores the adjusted temperature data according to the abnormal grade in a classified manner, so that the method is convenient for subsequent data query and analysis, and precious data support can be provided for optimization and improvement of the system.

Specifically, when the transfer unit is configured to screen the temperature data in the repository and establish a normal temperature data set and an abnormal temperature data set according to a screening result, the transfer unit includes:

dividing the temperature data in the repository according to a time period;

Calculating variances of all temperature data in the same time period, comparing the variances with a preset variance threshold, and judging according to comparison results;

temporarily adding all temperature data within the same time period to the normal temperature dataset when the variance is less than or equal to the variance threshold;

when the variance is greater than the variance threshold, adding all temperature data within the same time period to the abnormal temperature dataset.

Specifically, when the variance is less than or equal to the variance threshold, after temporarily adding all the temperature data in the same time period to the normal temperature data set, the method further includes:

And presetting a temperature standard value, then carrying out difference on all the temperature data in the same time period with the temperature standard value one by one to obtain a third difference value, comparing the third difference value with a preset third difference value threshold value, and judging whether to transfer the temperature data into the abnormal temperature data set according to a comparison result.

Specifically, comparing the third difference value with a preset third difference value threshold, and judging whether to transfer the temperature data into the abnormal temperature data set according to the comparison result, wherein the method comprises the following steps:

When the third difference is less than or equal to the third difference threshold, retaining the temperature data to the normal temperature dataset;

And when the third difference value is greater than the third difference value threshold value, transferring the temperature data into the abnormal temperature data set.

It can be seen that, in order to further enhance the flexibility and accuracy of the temperature sensor data recording system in this embodiment, the screening mechanism of the transit unit is refined and optimized, in addition to the basic screening based on the variance of the temperature data in the time period, a temperature standard value is introduced to achieve finer data classification, after temporarily classifying all the temperature data in a certain time period into a normal temperature data set, the system does not stop further evaluation of the data immediately, instead, it compares the data with a preset temperature standard value, which may be an average value obtained based on statistical analysis of historical data, a median value or a fixed value set according to a specific application scenario, the normality of each temperature data can be evaluated more accurately by calculating the difference (i.e. the third difference) between each temperature data and the standard value, if the third difference between a certain temperature data and the standard value exceeds the preset third difference threshold, even if it is classified as normal temperature data, the system will evaluate again the attribution the normal temperature data set and possibly transfer it from the normal temperature data set to the abnormal temperature data set, which enables the system to recognize that the whole does not deviate significantly from the normal data points, although the fluctuation is not significantly detected.

Specifically, the determining unit is further configured to calculate a first difference between the temperature data in the abnormal temperature data set and the average temperature value, compare the difference with a preset first difference threshold, and determine, according to a comparison result, an abnormal level of the temperature data, where the determining unit includes:

The first difference threshold includes a first lowest difference threshold and a first highest difference threshold;

When the first difference value is smaller than or equal to the first lowest difference value threshold value, judging that the abnormal grade of the temperature data is a first grade;

When the first difference value is larger than the first lowest difference value threshold value and smaller than or equal to the first highest difference value threshold value, judging that the abnormal grade of the temperature data is a second grade;

when the first difference value is larger than the first highest difference value threshold value, judging that the abnormal grade of the temperature data is a third grade;

Wherein the first level is less than the second level and the second level is less than the third level.

It can be seen that in the process of judging the abnormal level of the optimized temperature data, the judging unit adopts a finer grading strategy, and by setting a plurality of difference thresholds (namely a first lowest difference threshold and a first highest difference threshold), the more accurate quantitative evaluation of the abnormal temperature data is realized.

It will be appreciated that when the difference between certain temperature data and the baseline (i.e., average temperature value) falls within a first minimum difference threshold, the system determines that the data is a slight anomaly, i.e., a first level anomaly, which may represent some temporary temperature change that has little impact on the system as a whole, such as a brief environmental factor fluctuation, when the difference exceeds the first minimum difference threshold but is still within the first maximum difference threshold, the system determines a moderate anomaly, i.e., a second level anomaly, which may indicate some trend of temperature change that requires attention, or may be an early signal that the system is about to face a potential problem, and when the difference exceeds the first maximum difference threshold, the system determines a severe anomaly, i.e., a third level anomaly, which may be a direct impact on the normal operation or safety performance of the device, for which the system should trigger an alarm immediately and initiate a corresponding emergency treatment procedure automatically or manually to ensure the stability and safety of the system.

Specifically, the processing unit is configured to calculate, after determining the abnormal level of the temperature data, a temperature fluctuation value of the temperature data in the abnormal temperature data set and the corresponding historical time temperature data, and calculate a second difference value between the temperature fluctuation value and the maximum temperature fluctuation value, where the second difference value includes:

The historical time temperature data are corresponding historical time temperature data in the same time period, and the maximum temperature fluctuation value is the difference value between the maximum temperature data and the minimum temperature data in the normal temperature data set.

Specifically, when the abnormal level of the temperature data is adjusted according to the relation between the second difference value and a preset second difference value threshold value, the method includes:

The second difference threshold includes a second lowest difference threshold and a second highest difference threshold;

when the second difference value is smaller than or equal to the second lowest difference value threshold value, reducing the abnormal grade of the temperature data;

when the second difference value is larger than the second lowest difference value threshold value and smaller than or equal to a second highest difference value threshold value, maintaining the abnormal level of the current temperature data unchanged;

And when the second difference value is larger than the second highest difference value threshold value, the abnormal grade of the temperature data is adjusted to be high.

Specifically, when the processing unit determines to lower the abnormality level of the temperature data, it includes:

When the second difference value is smaller than or equal to the second lowest difference value threshold value, the second lowest difference value threshold value and the second difference value are subjected to difference to obtain a fourth difference value;

comparing the fourth difference value with a preset fourth difference value threshold value, and adjusting the abnormal level of the temperature data according to the comparison result;

When the fourth difference value is smaller than or equal to the fourth difference value threshold value, determining that the abnormal level of the temperature data is reduced by two stages;

When the fourth difference value is larger than the fourth difference value threshold value, determining that the abnormal level of the temperature data is lowered by one level;

wherein the lowest of the abnormal levels of the temperature data is adjusted to the first level.

Specifically, when the processing unit determines to raise the abnormality level of the temperature data, it includes:

When the second difference value is larger than the second highest difference value threshold value, the second highest difference value threshold value and the second difference value are subjected to difference to obtain a fifth difference value;

Comparing the fifth difference value with a preset fifth difference value threshold value, and adjusting the abnormal level of the temperature data according to the comparison result;

when the fifth difference value is smaller than or equal to the fifth difference value threshold value, determining that the abnormal level of the temperature data is increased by one level;

When the fifth difference value is larger than the fifth difference value threshold value, determining that the abnormal level of the temperature data is increased by two stages;

wherein the highest of the abnormal levels of the temperature data is tuned to the third level.

It can be seen that in the process of further refining abnormal processing of temperature data, the system not only judges the abnormal grade through the difference threshold value, but also introduces the consideration of the temperature fluctuation value, thereby realizing accurate capture of the dynamic change of the abnormal state.

It will be appreciated that when the temperature data calculated by the processing unit is compared with the temperature fluctuation value of the temperature data at the historical moment, and is thus compared with the maximum temperature fluctuation value, the deviation degree of the current temperature state relative to the historical normalcy is actually evaluated, if the deviation degree is small (namely, the second difference value is lower than the second lowest difference value threshold value), the former abnormal judgment is too sensitive, or the current temperature state is returning to the normal state, so that the system can choose to adjust the abnormal grade of the temperature data, the adjustment not only helps to reduce false alarms, but also enables the system to adapt to the change of the environment more flexibly, otherwise, when the temperature fluctuation value is obviously increased (namely, the second difference value exceeds the second highest difference value threshold value), the system can regard the change as an abnormal signal, and then adjust the abnormal grade of the temperature data, the timely reaction can ensure that the system can rapidly start the emergency measure of a higher level when facing the emergency situation, and thus effectively preventing the expansion of the potential problem.

It can be understood that when the processing unit adjusts the abnormal level, the fourth and fifth difference values and the fourth and fifth difference threshold values corresponding to the fourth and fifth difference values are compared, so that the system can finely control the adjustment amplitude of the abnormal level according to the specific magnitude of the temperature fluctuation value, for example, when the temperature fluctuation value deviates from the normal range extremely (i.e. the fourth or fifth difference value is far greater than the corresponding threshold value), the system can select to adjust up or down the two-stage abnormal level at one time so as to adapt to the change of the temperature state more quickly, and the step adjustment strategy not only improves the response speed of the system, but also enables the abnormal processing process to meet the requirements of practical situations more.

Referring to fig. 2, in some embodiments of the present application, a data recording method for a temperature sensor is provided, including the steps of:

s100, acquiring temperature data of a temperature sensor in real time, and storing the temperature data into a storage library;

S200, screening the temperature data in the storage library, and establishing a normal temperature data set and an abnormal temperature data set according to a screening result;

s300, calculating an average temperature value and a maximum temperature fluctuation value of the temperature data in the normal temperature data set, calculating a first difference value between the temperature data and the average temperature value in the abnormal temperature data set, comparing the first difference value with a preset first difference value threshold, and judging the abnormal grade of the temperature data according to a comparison result;

s400, after determining abnormal grades of the temperature data, calculating temperature fluctuation values of the temperature data in the abnormal temperature data set and corresponding historical moment temperature data, calculating a second difference value between the temperature fluctuation values and the maximum temperature fluctuation value, and then adjusting the abnormal grades of the temperature data according to the relation between the second difference value and a preset second difference value threshold;

And S500, storing and recording the adjusted temperature data according to the abnormal grade.

It can be seen that the data recording method for the temperature sensor provided by the embodiment has high flexibility and accuracy, ensures the effectiveness and reliability of a temperature recording system through comprehensive analysis and refinement of temperature data, realizes accurate capture and timely response of abnormal states of the temperature data through multidimensional evaluation and refinement control, and provides powerful technical support for various application scenes requiring precise temperature control as well as the overall performance of the temperature recording system.

It will be appreciated by those skilled in the art that embodiments of the application may be provided as methods, systems, or computer program products. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flowchart and/or block of the flowchart illustrations and/or block diagrams, and combinations of flowcharts and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the specific embodiments of the present invention without departing from the spirit and scope of the present invention, and any modifications and equivalents are intended to be included in the scope of the claims of the present invention.