CN118283165B - Mobile phone safety coefficient analysis system based on big data - Google Patents
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Abstract
The invention relates to the technical field of communication safety, and particularly discloses a mobile phone safety coefficient analysis system based on big data. The method comprises the steps of obtaining the running temperature value of each detection point in the running state corresponding to each detection period of the mobile phone, obtaining the charging temperature value and the charging rate value of each detection point in the charging state corresponding to each detection period of the mobile phone, analyzing to obtain the running safety grade of the mobile phone in each detection period, providing comprehensive and scientific data support for the running safety analysis of the mobile phone in each detection period, further effectively improving the accuracy of the use safety assessment result of the mobile phone in the running and charging states, greatly improving the use safety of the mobile phone, pre-warning the use safety of the mobile phone in advance, avoiding the safety accidents of the mobile phone in the subsequent use process, and improving the use safety of the mobile phone.
Description
Technical Field
The invention relates to the technical field of communication safety, in particular to a mobile phone safety coefficient analysis system based on big data.
Background
With the development of the age, the mobile phone becomes an indispensable interactive tool in real life, and the mobile phone is used as a Personal Digital Assistant (PDA) terminal role, so that the mobile phone becomes an increasingly heavy role, and therefore, the mobile phone becomes an targets of a plurality of illegal vains, various types of theft events aiming at the smart mobile phone are layered endlessly, the mobile phone safety is increasingly important, and the mobile phone safety coefficient is an evaluation index of the overall safety of the mobile phone and reflects the capability and state of the mobile phone in preventing various safety threats and risks.
The existing mobile phone safety factor analysis focuses on detection and analysis of mobile phone data safety and virus safety, and the safety factor analysis of a mobile phone in the use process is relatively deficient, so that the safety factor of the mobile phone in the daily use process cannot be intuitively understood, and the mobile phone cannot be specifically analyzed under the condition that the mobile phone is lost in daily life or used by others, so that the safety factor of the mobile phone is greatly reduced, and therefore, the mobile phone safety factor analysis system based on big data is provided.
Disclosure of Invention
Aiming at the situation, in order to overcome the defects of the prior art, the invention provides a mobile phone safety coefficient analysis system based on big data, and the technical defects are overcome.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the mobile phone safety coefficient analysis system based on big data comprises an operation detection module, a position detection module, a safety early warning module and a database, wherein the operation detection module is respectively connected with the safety early warning module and the database, and the position detection module is respectively connected with the safety early warning module and the database;
The operation detection module is used for detecting the operation state of the mobile phone corresponding to each detection period to obtain the operation state parameters of the mobile phone corresponding to each detection period, extracting the test parameters of the mobile phone corresponding to the operation safety test from the system library, analyzing the operation safety values in the detection time periods corresponding to the mobile phone based on the test parameters of the operation safety test corresponding to the mobile phone, and obtaining the operation safety values in the detection time periods corresponding to the mobile phone;
The position detection module is used for detecting the position state of the mobile phone corresponding to each detection period to obtain the position state parameters of the mobile phone corresponding to each detection period, and analyzing the position state parameters based on the position state parameters of the mobile phone corresponding to each detection period to obtain the position safety state of the mobile phone corresponding to each detection period;
the safety early warning module carries out safety early warning analysis based on the operation safety level and the user position signal of the mobile phone corresponding to each detection period to obtain the safety early warning signal of the mobile phone corresponding to each detection period, and the maintainer carries out corresponding safety checking processing operation according to the safety early warning signal;
And the database is used for storing the safety analysis reference data of the mobile phone corresponding to each detection period.
Further, the specific detection steps of the operation state parameters are as follows:
acquiring an operation temperature value of the mobile phone corresponding to the operation state of each detection point in each detection period through a temperature sensor, acquiring a reference operation temperature value set in the operation state of each detection point in each detection period corresponding to the mobile phone from a database, and comparing and analyzing the operation temperature value of the mobile phone corresponding to the operation state of each detection point in each detection period with the set reference operation temperature value to obtain operation Wen Kangzhi of the mobile phone corresponding to each detection period;
Acquiring a charging temperature value of each detection point corresponding to the charging state in each detection period corresponding to the mobile phone through a temperature sensor, acquiring a reference temperature value set in the charging state of each detection point corresponding to each detection period corresponding to the mobile phone from a database, and comparing and analyzing the charging temperature value of each detection point corresponding to the charging state in each detection period corresponding to the mobile phone with the set reference charging temperature value to obtain charging Wen Kangzhi in each detection period corresponding to the mobile phone;
Acquiring a charging rate value of each detection time point corresponding to each detection time period of the mobile phone through a charging rate monitoring application program, acquiring a reference charging rate range set by each detection time point corresponding to each detection time period of the mobile phone from a database, and carrying out matching analysis on the charging rate value of each detection time point corresponding to each detection time period of the mobile phone and the set reference charging rate range to obtain a charging stability value corresponding to each detection time period of the mobile phone;
And the running Wen Kangzhi, the charging Wen Kangzhi and the charging stability value in the detection time periods corresponding to the mobile phone form running state parameters in the detection time periods corresponding to the mobile phone.
Further, the test parameters include a set reference run Wen Kangzhi, a reference charge Wen Kangzhi, and a reference charge stability value.
Further, the mobile phone corresponds to the operation safety value in each detection period, and the specific analysis steps are as follows:
extracting the values of the operation Wen Kangzhi, the charge Wen Kangzhi and the charge stability value in each detection period corresponding to the mobile phone from the operation state parameters in each detection period corresponding to the mobile phone to obtain the operation Wen Kangzhi, the charge Wen Kangzhi and the charge stability value in each detection period corresponding to the mobile phone, multiplying the operation Wen Kangzhi, the charge Wen Kangzhi and the charge stability value in each detection period corresponding to the mobile phone by the weight factors corresponding to the operation Wen Kangzhi, the charge Wen Kangzhi and the charge stability value respectively to obtain a square prism, drawing the square prism as the length, the width and the height of the square prism, calculating the volume of the square prism, and taking the volume of the square prism as the operation safety value in each detection period corresponding to the mobile phone;
The method comprises the steps of extracting numerical values of reference operation Wen Kangzhi, reference charge Wen Kangzhi and reference charge stability values set in detection periods corresponding to a mobile phone from test parameters of the mobile phone corresponding to operation safety tests, drawing a quadrangular prism by using the reference operation Wen Kangzhi, the reference charge Wen Kangzhi and the reference charge stability values set in the detection periods corresponding to the mobile phone as the length, the width and the height of the quadrangular prism respectively, calculating the volume of the quadrangular prism, and using the volume of the quadrangular prism as an operation safety reference value in the detection periods corresponding to the mobile phone.
If the operation safety value of the mobile phone corresponding to each detection period is smaller than or equal to the operation safety reference value of the mobile phone corresponding to each detection period, judging that the operation state of the mobile phone corresponding to each detection period is safe;
If the operation safety value in each detection period corresponding to the mobile phone is larger than the operation safety reference value in each detection period corresponding to the mobile phone, judging that the operation state in each detection period corresponding to the mobile phone is faulty, calculating the difference between the operation safety value in each detection period corresponding to the mobile phone and the operation safety reference value in each detection period corresponding to the mobile phone, taking the difference as the operation safety evaluation value in each detection period corresponding to the mobile phone, acquiring an operation safety evaluation level table set in each detection period corresponding to the mobile phone from a database, matching the operation safety evaluation value in each detection period corresponding to the mobile phone with the set operation safety evaluation level table, and generating operation safety levels Yi corresponding to each detection period corresponding to the mobile phone, i=1, 2, …, n and i are represented as operation safety level numbers in each detection period corresponding to the mobile phone, and n is represented as the total number of the operation safety levels in each detection period corresponding to the mobile phone.
Further, the mobile phone corresponds to the position state parameters of each detection period, and the specific detection mode is as follows:
Obtaining position data of the mobile phone corresponding to each detection period through a positioning function, obtaining position points of the mobile phone corresponding to each detection period, obtaining a conventional position range set by the mobile phone corresponding to each detection period from a database, and carrying out matching analysis on the position points of the mobile phone corresponding to each detection period and the conventional position range set to obtain position abnormal values of the mobile phone corresponding to each detection period;
Acquiring user images of the mobile phone corresponding to each monitoring period through a camera to obtain user image data of the mobile phone corresponding to each detection period, acquiring authority user images set by the mobile phone corresponding to each detection period from a database, recording matching times of the user image data of the mobile phone corresponding to each detection period and the set authority user images, acquiring user authority matching times and user authority abnormal times of the mobile phone corresponding to each detection period, comparing the user authority abnormal times of the mobile phone corresponding to each detection period with the user authority matching times, and obtaining user abnormal values of the mobile phone corresponding to each detection period;
And forming position state parameters of the mobile phone corresponding to each detection period by the position abnormal value of the mobile phone corresponding to each detection period and the user abnormal value.
Further, the mobile phone corresponds to the position safety state of each detection period, and the specific analysis process is as follows:
Extracting the position abnormal value and the user abnormal value of the mobile phone corresponding to each detection period from the position state parameters of the mobile phone corresponding to each detection period;
extracting position reference abnormal values and user reference abnormal values of the mobile phone corresponding to each detection period from a database;
And comparing the position abnormal value and the user abnormal value of the mobile phone corresponding to each detection period with the position reference abnormal value and the user reference abnormal value of the mobile phone corresponding to each detection period respectively to obtain a user position signal of the mobile phone corresponding to each detection period.
Further, the specific comparison steps of the user position signals of the mobile phone corresponding to each detection period are as follows:
if the abnormal value of the position of the mobile phone corresponding to each detection period is larger than the abnormal value of the position of the mobile phone corresponding to each detection period, and the abnormal value of the user of the mobile phone corresponding to each detection period is larger than the abnormal value of the user of the mobile phone corresponding to each detection period, judging that the position safety state of the mobile phone corresponding to each detection period is abnormal, and generating a position abnormal signal;
If the abnormal value of the position of the mobile phone corresponding to each detection period is smaller than the abnormal value of the position of the mobile phone corresponding to each detection period, and the abnormal value of the user of the mobile phone corresponding to each detection period is larger than the abnormal value of the user of the mobile phone corresponding to each detection period, judging that the position safety state of the mobile phone corresponding to each detection period is abnormal, and generating a user abnormal signal;
if the abnormal value of the position of the mobile phone corresponding to each detection period is smaller than the abnormal value of the position of the mobile phone corresponding to each detection period, and the abnormal value of the user of the mobile phone corresponding to each detection period is smaller than the abnormal value of the user of the mobile phone corresponding to each detection period, judging that the position safety state of the mobile phone corresponding to each detection period is normal, and generating a position normal signal;
If the abnormal value of the position of the mobile phone corresponding to each detection period is smaller than the abnormal value of the position of the mobile phone corresponding to each detection period, and the abnormal value of the user of the mobile phone corresponding to each detection period is larger than the abnormal value of the user of the mobile phone corresponding to each detection period, judging that the position safety state of the mobile phone corresponding to each detection period is normal, and generating a user normal signal;
And forming a user position signal of the mobile phone corresponding to each detection period by the position abnormal signal, the position normal signal, the user normal signal and the user abnormal signal.
Further, the mobile phone corresponds to the safety precaution signal of each detection period, and the specific analysis mode is as follows:
three critical values are set in the operation safety level corresponding to each detection period of the mobile phone and are respectively expressed as Yj, yk and Yg, wherein j, k and g are all expressed as operation safety level numbers corresponding to each detection period of the mobile phone, j, k and g are all values in i, and j is less than k and g is less than n.
If the operation safety level Yi of the mobile phone corresponding to a certain detection period is less than Yj, judging an operation safety fault primary signal of the mobile phone corresponding to the certain detection period, and displaying the state abnormality of the primary signal of the operation safety fault of the mobile phone corresponding to the certain detection period through a safety early warning module;
If the operation security level Tj of the mobile phone corresponding to a certain detection period is less than Yi and less than Yk, judging an operation security fault secondary signal of the mobile phone corresponding to a certain detection period, and displaying the state abnormality of the secondary signal of the operation security fault of the mobile phone corresponding to a certain detection period through a security early warning module;
If the operation security level Tk of the mobile phone corresponding to a certain detection period is less than Yi less than Yg, judging an operation security fault three-level signal of the mobile phone corresponding to the certain detection period, and displaying the state abnormality of the operation security fault three-level signal of the mobile phone corresponding to the certain detection period through a security early warning module;
If the operation security level Tg of the mobile phone corresponding to a certain detection period is less than Yi and less than Yn, judging an operation security fault four-level signal of the mobile phone corresponding to a certain detection period, and displaying the state abnormality of the operation security fault four-level signal of the mobile phone corresponding to a certain detection period through a security early warning module;
wherein Yn represents the operation security level of the mobile phone in each detection period, namely the value of i in Yi is n;
If the safety early warning module receives a position abnormality signal of the mobile phone corresponding to a certain detection period, the safety early warning module is used for displaying the state abnormality of the position abnormality signal of the user position state of the mobile phone corresponding to the certain detection period;
If the safety pre-warning module receives the user abnormal signal corresponding to a certain detection period of the mobile phone, the state abnormality display of the user abnormal signal is carried out on the user position state corresponding to a certain detection period of the mobile phone through the safety pre-warning module.
The invention has the beneficial effects that:
1. According to the method, the operation temperature value of each detection point is obtained in the operation state corresponding to each detection period of the mobile phone, and the charging temperature value and the charging rate value of each detection point are obtained in the charging state corresponding to each detection period of the mobile phone, so that the operation safety value of each detection period corresponding to the mobile phone is obtained through detection analysis of the operation safety value of each detection period corresponding to the mobile phone, the operation safety level of each detection period corresponding to the mobile phone is generated after the operation safety value of each detection period corresponding to the mobile phone is analyzed and processed with the set operation safety reference value, comprehensive and scientific data support is provided for the operation safety analysis of each detection period corresponding to the mobile phone, the accuracy of the operation safety assessment result of the mobile phone in the operation and charging states is further effectively improved, a certain operation safety guarantee is provided for a user of the mobile phone, the use safety of the mobile phone is also early-warned in advance to a great extent, the use safety accident of the mobile phone in the subsequent use process is avoided, and the use safety of the mobile phone is improved.
2. According to the invention, through collecting the position points of the mobile phone corresponding to each detection period and the user image data, the position abnormal value and the user abnormal value of the mobile phone corresponding to each detection period are obtained after analysis and calculation, and the position safety state analysis of the mobile phone corresponding to each detection period is carried out, so that the accuracy of the position safety judgment result of the mobile phone corresponding to each detection period is improved to a great extent, scientific safety assessment is provided for the mobile phone loss or abnormal personnel use of the mobile phone corresponding to each detection period, and the mobile phone user can obtain the mobile phone use safety information.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of a mobile phone security coefficient analysis system based on big data according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are also within the scope of the invention.
As used in the specification and in the claims, the terms "a," "an," "the," and/or "the" are not specific to a singular, but may include a plurality, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that the steps and elements are explicitly identified, and they do not constitute an exclusive list, as other steps or elements may be included in a method or apparatus.
Although the present invention makes various references to certain modules in a system according to embodiments of the present invention, any number of different modules may be used and run on a user terminal and/or server. The modules are merely illustrative, and different aspects of the systems and methods may use different modules.
A flowchart is used in the present invention to describe the operations performed by a system according to embodiments of the present invention. It should be understood that the preceding or following operations are not necessarily performed in order precisely. Rather, the various steps may be processed in reverse order or simultaneously, as desired. Also, other operations may be added to or removed from these processes.
Hereinafter, exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are only some embodiments of the present invention and not all embodiments of the present invention, and it should be understood that the present invention is not limited by the example embodiments described herein.
Example 1:
referring to fig. 1, a mobile phone security coefficient analysis system based on big data includes: the system comprises an operation detection module, a position detection module, a safety early warning module and a database.
The operation detection module is respectively connected with the safety early warning module and the database, and the position detection module is respectively connected with the safety early warning module and the database.
The operation detection module is used for detecting the operation state of the mobile phone in each detection period to obtain the operation state parameters of the mobile phone in each detection period, wherein the operation state parameters comprise: run Wen Kangzhi, charge Wen Kangzhi, charge steady value.
The specific detection steps of the running state parameters are as follows:
Acquiring temperature data of each detection point corresponding to the operation state in each detection period by a temperature sensor to obtain an operation temperature value of each detection point corresponding to the operation state in each detection period, acquiring a set reference operation temperature value of each detection point corresponding to the operation state in each detection period from a database, comparing the operation temperature value of each detection point corresponding to the operation state in each detection period with the set reference operation temperature value to obtain the number that the operation temperature value of each detection point corresponding to the operation state in each detection period is larger than the set reference operation temperature value to obtain the operation overheat of the mobile phone corresponding to each detection period, obtaining the number that the operation temperature value of each detection point corresponding to the operation state in each detection period is smaller than the set reference operation temperature value to obtain the operation low temperature value of the mobile phone corresponding to each detection period, and comparing the operation overheat of the mobile phone corresponding to each detection period with the operation low temperature value to obtain the operation Wen Kangzhi of the mobile phone corresponding to each detection period.
Acquiring temperature data of each detection point corresponding to the charging state in each detection period by a temperature sensor to obtain a charging temperature value of each detection point corresponding to the charging state in each detection period, acquiring a set reference temperature value of each detection point corresponding to the charging state in each detection period from a database, comparing the charging temperature value of each detection point corresponding to the charging state in each detection period with the set reference charging temperature value, acquiring the quantity that the charging temperature value of each detection point corresponding to the charging state in each detection period is larger than the set reference charging temperature value, acquiring the charging overheat of each detection point corresponding to the mobile phone in each detection period, acquiring the quantity that the charging temperature value of each detection point corresponding to the charging state in each detection period is smaller than the set reference charging temperature value, acquiring the charging low temperature value of each detection period corresponding to the mobile phone, and comparing the charging overheat of each detection period corresponding to the mobile phone with the charging low temperature value to obtain the charging Wen Kangzhi in each detection period.
Acquiring the charging rate of each detection time point in each detection period corresponding to the mobile phone through a charging rate monitoring application program to obtain the charging rate value of each detection time point in each detection period corresponding to the mobile phone, acquiring a reference charging rate range set by each detection time point in each detection period corresponding to the mobile phone from a database, matching the charging rate value of each detection time point in each detection period corresponding to the mobile phone with the set reference charging rate range, acquiring the quantity that the charging rate value of each detection time point in each detection period corresponding to the mobile phone deviates from the set reference charging rate range requirement, acquiring the charging rate value of each detection time point in each detection period corresponding to the mobile phone and the quantity that the charging rate value of each detection time point in each detection period corresponds to the set reference charging rate range requirement, acquiring the charging rate normal value of the mobile phone in each detection period corresponding to the detection period, and comparing the charging rate abnormal value of the mobile phone in each detection period with the charging rate normal value to obtain the charging stable value of the mobile phone in each detection period.
And the running Wen Kangzhi, the charging Wen Kangzhi and the charging stability value in the detection time periods corresponding to the mobile phone form running state parameters in the detection time periods corresponding to the mobile phone.
The method comprises the steps of extracting test parameters of a mobile phone corresponding operation safety test from a system library, wherein the test parameters comprise set reference operation Wen Kangzhi, reference charging Wen Kangzhi and reference charging stable values, analyzing the operation safety values of the mobile phone corresponding to each detection period based on the test parameters of the mobile phone corresponding operation safety test, and obtaining the operation safety values of the mobile phone corresponding to each detection period, wherein the specific analysis steps are as follows:
Extracting the values of the operation Wen Kangzhi, the charge Wen Kangzhi and the charge stability value in each detection period corresponding to the mobile phone from the operation state parameters in each detection period corresponding to the mobile phone to obtain the operation Wen Kangzhi, the charge Wen Kangzhi and the charge stability value in each detection period corresponding to the mobile phone, multiplying the operation Wen Kangzhi, the charge Wen Kangzhi and the charge stability value in each detection period corresponding to the mobile phone by the weight factors corresponding to the operation Wen Kangzhi, the charge Wen Kangzhi and the charge stability value respectively to be used as the length, the width and the height of the quadrangular prism, drawing a volume of the quadrangular prism, and taking the volume of the quadrangular prism as the operation safety value in each detection period corresponding to the mobile phone.
The method comprises the steps of extracting values of reference operation Wen Kangzhi, reference charge Wen Kangzhi and reference charge stability values set in detection periods corresponding to a mobile phone from test parameters of the mobile phone corresponding to operation safety tests, obtaining reference operation Wen Kangzhi, reference charge Wen Kangzhi and reference charge stability values set in detection periods corresponding to the mobile phone, drawing a quadrangular prism by taking the reference operation Wen Kangzhi, the reference charge Wen Kangzhi and the reference charge stability values set in detection periods corresponding to the mobile phone as the length, the width and the height of the quadrangular prism respectively, calculating the volume of the quadrangular prism, and taking the volume of the quadrangular prism as an operation safety reference value in the detection periods corresponding to the mobile phone.
If the operation safety value of the mobile phone corresponding to each detection period is smaller than or equal to the operation safety reference value of the mobile phone corresponding to each detection period, judging that the operation state of the mobile phone corresponding to each detection period is safe;
If the operation safety value in each detection period corresponding to the mobile phone is larger than the operation safety reference value in each detection period corresponding to the mobile phone, judging that the operation state in each detection period corresponding to the mobile phone is faulty, calculating the difference between the operation safety value in each detection period corresponding to the mobile phone and the operation safety reference value in each detection period corresponding to the mobile phone, taking the difference as the operation safety evaluation value in each detection period corresponding to the mobile phone, acquiring an operation safety evaluation level table set in each detection period corresponding to the mobile phone from a database, matching the operation safety evaluation value in each detection period corresponding to the mobile phone with the set operation safety evaluation level table, and generating operation safety levels Yi corresponding to each detection period corresponding to the mobile phone, i=1, 2, …, n and i are represented as operation safety level numbers in each detection period corresponding to the mobile phone, and n is represented as the total number of the operation safety levels in each detection period corresponding to the mobile phone.
In a specific embodiment, the method and the device for detecting the operation safety of the mobile phone in the charging state, disclosed by the invention, have the advantages that the operation temperature value of each detection point is obtained in the operation state corresponding to each detection period of the mobile phone, and the charging temperature value and the charging rate value of each detection point are obtained in the charging state corresponding to each detection period of the mobile phone, so that the operation safety value corresponding to each detection period of the mobile phone is obtained by detecting and analyzing the operation safety value corresponding to each detection period of the mobile phone and the set operation safety reference value, the operation safety grade corresponding to each detection period of the mobile phone is generated, the comprehensive and scientific data support is provided for the operation safety analysis corresponding to each detection period of the mobile phone, the accuracy of the operation safety evaluation result of the mobile phone in the operation and charging state is further effectively improved, a certain safety guarantee is provided for the user of the mobile phone, the use safety of the mobile phone is also improved to a great extent, the safety accident occurrence during the subsequent use process of the mobile phone is avoided, and the use safety of the mobile phone is improved.
The position detection module is used for detecting the position state of the mobile phone corresponding to each detection period to obtain the position state parameters of the mobile phone corresponding to each detection period, wherein the position state parameters comprise: the specific detection modes of the position outlier and the user outlier are as follows:
Obtaining position data of the mobile phone corresponding to each detection period through a positioning function, obtaining a position point of the mobile phone corresponding to each detection period, obtaining a normal position range set by the mobile phone corresponding to each detection period from a database, matching the position point of the mobile phone corresponding to each detection period with the set normal position range, calculating the deviation value quantity of the position point of the mobile phone corresponding to each detection period from the set normal position, recording the deviation value quantity as the position deviation value of the mobile phone corresponding to each detection period, calculating the reasonable value quantity as the position reasonable value of the mobile phone corresponding to each detection period, recording the position reasonable value as the position reasonable value of the mobile phone corresponding to each detection period, comparing the position deviation value and the position reasonable value of the mobile phone corresponding to each detection period, and obtaining the position abnormal value of the mobile phone corresponding to each detection period.
Obtaining user image data of the mobile phone corresponding to each detection period through a camera, obtaining authority user image set by the mobile phone corresponding to each detection period from a database, recording matching times of the user image data of the mobile phone corresponding to each detection period and the set authority user image, obtaining user authority matching times and user authority abnormal times of the mobile phone corresponding to each detection period, comparing the user authority abnormal times and the user authority matching times of the mobile phone corresponding to each detection period, and obtaining user abnormal values of the mobile phone corresponding to each detection period.
The position abnormal value and the user abnormal value corresponding to each detection period form the position state parameter corresponding to each detection period of the mobile phone, and the position state parameter corresponding to each detection period of the mobile phone is analyzed based on the position state parameter corresponding to each detection period of the mobile phone to obtain the position safety state corresponding to each detection period of the mobile phone, wherein the specific analysis process is as follows:
Extracting the position abnormal value and the user abnormal value of the mobile phone corresponding to each detection period from the position state parameters of the mobile phone corresponding to each detection period;
and extracting the position reference abnormal value and the user reference abnormal value of the mobile phone corresponding to each detection period from the database.
Comparing the abnormal value of the position of the mobile phone corresponding to each detection period with the abnormal value of the position reference of the mobile phone corresponding to each detection period with the abnormal value of the user reference to obtain a user position signal of the mobile phone corresponding to each detection period, wherein the specific comparison steps are as follows:
if the abnormal value of the position of the mobile phone corresponding to each detection period is larger than the abnormal value of the position of the mobile phone corresponding to each detection period, and the abnormal value of the user of the mobile phone corresponding to each detection period is larger than the abnormal value of the user of the mobile phone corresponding to each detection period, judging that the position safety state of the mobile phone corresponding to each detection period is abnormal, and generating a position abnormal signal;
If the abnormal value of the position of the mobile phone corresponding to each detection period is smaller than the abnormal value of the position of the mobile phone corresponding to each detection period, and the abnormal value of the user of the mobile phone corresponding to each detection period is larger than the abnormal value of the user of the mobile phone corresponding to each detection period, judging that the position safety state of the mobile phone corresponding to each detection period is abnormal, and generating a user abnormal signal;
if the abnormal value of the position of the mobile phone corresponding to each detection period is smaller than the abnormal value of the position of the mobile phone corresponding to each detection period, and the abnormal value of the user of the mobile phone corresponding to each detection period is smaller than the abnormal value of the user of the mobile phone corresponding to each detection period, judging that the position safety state of the mobile phone corresponding to each detection period is normal, and generating a position normal signal;
if the abnormal value of the position of the mobile phone corresponding to each detection period is smaller than the abnormal value of the position of the mobile phone corresponding to each detection period, and the abnormal value of the user of the mobile phone corresponding to each detection period is larger than the abnormal value of the user of the mobile phone corresponding to each detection period, the position safety state of the mobile phone corresponding to each detection period is judged to be normal, and a user normal signal is generated.
And forming a user position signal of the mobile phone corresponding to each detection period by the position abnormal signal, the position normal signal, the user normal signal and the user abnormal signal.
In a specific embodiment, the position points corresponding to the detection periods of the mobile phone and the user image data are collected, the position anomaly values corresponding to the detection periods of the mobile phone and the user anomaly values are obtained after analysis and calculation, and the position safety state analysis corresponding to the detection periods of the mobile phone is carried out, so that the accuracy of the position safety judgment results corresponding to the detection periods of the mobile phone is improved to a great extent, scientific safety assessment is provided for the loss of the mobile phone corresponding to the detection periods of the mobile phone or the use of abnormal personnel, and the mobile phone user can obtain the mobile phone use safety information.
The safety early warning module carries out safety early warning analysis based on the operation safety grade and the user position signal of the mobile phone corresponding to each detection period, so as to obtain the safety early warning signal of the mobile phone corresponding to each detection period, and the maintainer carries out corresponding safety checking processing operation according to the safety early warning signal, wherein the specific analysis mode is as follows:
three critical values are set in the operation safety level corresponding to each detection period of the mobile phone and are respectively expressed as Yj, yk and Yg, wherein j, k and g are all expressed as operation safety level numbers corresponding to each detection period of the mobile phone, j, k and g are all values in i, and j is less than k and g is less than n.
If the operation safety level Yi of the mobile phone corresponding to a certain detection period is less than Yj, judging an operation safety fault primary signal of the mobile phone corresponding to the certain detection period, and displaying the state abnormality of the primary signal of the operation safety fault of the mobile phone corresponding to the certain detection period through a safety early warning module;
If the operation security level Tj of the mobile phone corresponding to a certain detection period is less than Yi and less than Yk, judging an operation security fault secondary signal of the mobile phone corresponding to a certain detection period, and displaying the state abnormality of the secondary signal of the operation security fault of the mobile phone corresponding to a certain detection period through a security early warning module;
If the operation security level Tk of the mobile phone corresponding to a certain detection period is less than Yi less than Yg, judging an operation security fault three-level signal of the mobile phone corresponding to the certain detection period, and displaying the state abnormality of the operation security fault three-level signal of the mobile phone corresponding to the certain detection period through a security early warning module;
If the operation security level Tg of the mobile phone corresponding to a certain detection period is less than Yi and less than Yn, judging an operation security fault four-level signal of the mobile phone corresponding to a certain detection period, and displaying the state abnormality of the operation security fault four-level signal of the mobile phone corresponding to a certain detection period through a security early warning module;
and Yn represents the operation security level of the mobile phone in each detection period, namely the value of i in Yi is n.
If the safety early warning module receives a position abnormality signal of the mobile phone corresponding to a certain detection period, the safety early warning module is used for displaying the state abnormality of the position abnormality signal of the user position state of the mobile phone corresponding to the certain detection period;
If the safety pre-warning module receives the user abnormal signal corresponding to a certain detection period of the mobile phone, the state abnormality display of the user abnormal signal is carried out on the user position state corresponding to a certain detection period of the mobile phone through the safety pre-warning module.
And the database is used for storing the safety analysis reference data of the mobile phone corresponding to each detection period.
The above formulas are all formulas for removing dimensions and taking numerical calculation, the formulas are formulas for obtaining the latest real situation by collecting a large amount of data and performing software simulation, the size of the coefficient is a specific numerical value obtained by quantizing each parameter, and the ratio relation between the parameter and the quantized numerical value is not influenced.
Furthermore, those skilled in the art will appreciate that the various aspects of the invention are illustrated and described in the context of a number of patentable categories or circumstances, including any novel and useful procedures, machines, products, or materials, or any novel and useful modifications thereof. Accordingly, aspects of the invention may be performed entirely by hardware, entirely by software (including firmware, resident software, micro-code, etc.) or by a combination of hardware and software. The above hardware or software may be referred to as a "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the invention may take the form of a computer product, comprising computer-readable program code, embodied in one or more computer-readable media.
Unless otherwise defined, all terms (including 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 will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The foregoing is illustrative of the present invention and is not to be construed as limiting thereof. Although a few exemplary embodiments of this invention have been described, those skilled in the art will readily appreciate that many modifications are possible in the exemplary embodiments without materially departing from the novel teachings and advantages of this invention. Accordingly, all such modifications are intended to be included within the scope of this invention as defined in the following claims. It is to be understood that the foregoing is illustrative of the present invention and is not to be construed as limited to the specific embodiments disclosed, and that modifications to the disclosed embodiments, as well as other embodiments, are intended to be included within the scope of the appended claims. The invention is defined by the claims and their equivalents.
Claims (4)
1. The mobile phone safety coefficient analysis system based on big data comprises an operation detection module, a position detection module, a safety early warning module and a database, wherein the operation detection module is respectively connected with the safety early warning module and the database, and the position detection module is respectively connected with the safety early warning module and the database; the database is used for storing the safety analysis reference data of the mobile phone corresponding to each detection period, and is characterized in that:
The operation detection module is used for detecting the operation state of the mobile phone corresponding to each detection period to obtain the operation state parameters of the mobile phone corresponding to each detection period, extracting the test parameters of the mobile phone corresponding to the operation safety test from the system library, analyzing the operation safety values in the detection time periods corresponding to the mobile phone based on the test parameters of the operation safety test corresponding to the mobile phone, and obtaining the operation safety values in the detection time periods corresponding to the mobile phone;
the specific detection steps of the operation state parameters are as follows:
acquiring an operation temperature value of the mobile phone corresponding to the operation state of each detection point in each detection period through a temperature sensor, acquiring a reference operation temperature value set in the operation state of each detection point in each detection period corresponding to the mobile phone from a database, and comparing and analyzing the operation temperature value of the mobile phone corresponding to the operation state of each detection point in each detection period with the set reference operation temperature value to obtain operation Wen Kangzhi of the mobile phone corresponding to each detection period;
Acquiring a charging temperature value of each detection point corresponding to the charging state in each detection period corresponding to the mobile phone through a temperature sensor, acquiring a reference temperature value set in the charging state of each detection point corresponding to each detection period corresponding to the mobile phone from a database, and comparing and analyzing the charging temperature value of each detection point corresponding to the charging state in each detection period corresponding to the mobile phone with the set reference charging temperature value to obtain charging Wen Kangzhi in each detection period corresponding to the mobile phone;
Acquiring a charging rate value of each detection time point corresponding to each detection time period of the mobile phone through a charging rate monitoring application program, acquiring a reference charging rate range set by each detection time point corresponding to each detection time period of the mobile phone from a database, and carrying out matching analysis on the charging rate value of each detection time point corresponding to each detection time period of the mobile phone and the set reference charging rate range to obtain a charging stability value corresponding to each detection time period of the mobile phone;
the operation Wen Kangzhi, the charging Wen Kangzhi and the charging stability value in the detection time periods corresponding to the mobile phone form operation state parameters in the detection time periods corresponding to the mobile phone;
the mobile phone corresponds to the operation safety value in each detection period, and the specific analysis steps are as follows:
extracting the values of the operation Wen Kangzhi, the charge Wen Kangzhi and the charge stability value in each detection period corresponding to the mobile phone from the operation state parameters in each detection period corresponding to the mobile phone to obtain the operation Wen Kangzhi, the charge Wen Kangzhi and the charge stability value in each detection period corresponding to the mobile phone, multiplying the operation Wen Kangzhi, the charge Wen Kangzhi and the charge stability value in each detection period corresponding to the mobile phone by the weight factors corresponding to the operation Wen Kangzhi, the charge Wen Kangzhi and the charge stability value respectively to obtain a square prism, drawing the square prism as the length, the width and the height of the square prism, calculating the volume of the square prism, and taking the volume of the square prism as the operation safety value in each detection period corresponding to the mobile phone;
Extracting the values of the reference operation Wen Kangzhi, the reference charge Wen Kangzhi and the reference charge stability value set in each detection period corresponding to the mobile phone from the test parameters of the corresponding operation safety test of the mobile phone, drawing a quadrangular prism by taking the reference operation Wen Kangzhi, the reference charge Wen Kangzhi and the reference charge stability value set in each detection period corresponding to the mobile phone as the length, the width and the height of the quadrangular prism respectively, calculating the volume of the quadrangular prism, and taking the volume of the quadrangular prism as the operation safety reference value in each detection period corresponding to the mobile phone;
If the operation safety value of the mobile phone corresponding to each detection period is smaller than or equal to the operation safety reference value of the mobile phone corresponding to each detection period, judging that the operation state of the mobile phone corresponding to each detection period is safe;
If the operation safety value in each detection period corresponding to the mobile phone is larger than the operation safety reference value in each detection period corresponding to the mobile phone, judging that the operation state in each detection period corresponding to the mobile phone is faulty, calculating the difference between the operation safety value in each detection period corresponding to the mobile phone and the operation safety reference value in each detection period corresponding to the mobile phone, taking the difference as the operation safety evaluation value in each detection period corresponding to the mobile phone, acquiring an operation safety evaluation level table set in each detection period corresponding to the mobile phone from a database, matching the operation safety evaluation value in each detection period corresponding to the mobile phone with the set operation safety evaluation level table, and generating operation safety levels Yi corresponding to each detection period corresponding to the mobile phone, i=1, 2, …, n and i as the number of the operation safety level in each detection period corresponding to the mobile phone, and n as the total number of the operation safety level in each detection period corresponding to the mobile phone;
The position detection module is used for detecting the position state of the mobile phone corresponding to each detection period to obtain the position state parameters of the mobile phone corresponding to each detection period, and analyzing the position state parameters based on the position state parameters of the mobile phone corresponding to each detection period to obtain the position safety state of the mobile phone corresponding to each detection period;
the mobile phone corresponds to the position state parameters of each detection period, and the specific detection mode is as follows:
Obtaining position data of the mobile phone corresponding to each detection period through a positioning function, obtaining position points of the mobile phone corresponding to each detection period, obtaining a conventional position range set by the mobile phone corresponding to each detection period from a database, and carrying out matching analysis on the position points of the mobile phone corresponding to each detection period and the conventional position range set to obtain position abnormal values of the mobile phone corresponding to each detection period;
Acquiring user images of the mobile phone corresponding to each monitoring period through a camera to obtain user image data of the mobile phone corresponding to each detection period, acquiring authority user images set by the mobile phone corresponding to each detection period from a database, recording matching times of the user image data of the mobile phone corresponding to each detection period and the set authority user images, acquiring user authority matching times and user authority abnormal times of the mobile phone corresponding to each detection period, comparing the user authority abnormal times of the mobile phone corresponding to each detection period with the user authority matching times, and obtaining user abnormal values of the mobile phone corresponding to each detection period;
Forming position state parameters of the mobile phone corresponding to each detection period by the position abnormal value of the mobile phone corresponding to each detection period and the user abnormal value;
the mobile phone corresponds to the position safety state of each detection period, and the specific analysis process is as follows:
Extracting the position abnormal value and the user abnormal value of the mobile phone corresponding to each detection period from the position state parameters of the mobile phone corresponding to each detection period;
extracting position reference abnormal values and user reference abnormal values of the mobile phone corresponding to each detection period from a database;
Comparing the position abnormal value and the user abnormal value of the mobile phone corresponding to each detection period with the position reference abnormal value and the user reference abnormal value of the mobile phone corresponding to each detection period respectively to obtain a user position signal of the mobile phone corresponding to each detection period;
The safety early warning module carries out safety early warning analysis based on the operation safety grade of the mobile phone corresponding to each detection period and the user position signal, so as to obtain the safety early warning signal of the mobile phone corresponding to each detection period, and the maintainer carries out corresponding safety checking processing operation according to the safety early warning signal.
2. The mobile phone security coefficient analysis system based on big data according to claim 1, wherein: the test parameters include a set reference run Wen Kangzhi, a reference charge Wen Kangzhi, and a reference charge stability value.
3. The mobile phone security coefficient analysis system based on big data according to claim 1, wherein: the mobile phone corresponds to the user position signals of each detection period, and the specific comparison steps are as follows:
if the abnormal value of the position of the mobile phone corresponding to each detection period is larger than the abnormal value of the position of the mobile phone corresponding to each detection period, and the abnormal value of the user of the mobile phone corresponding to each detection period is larger than the abnormal value of the user of the mobile phone corresponding to each detection period, judging that the position safety state of the mobile phone corresponding to each detection period is abnormal, and generating a position abnormal signal;
If the abnormal value of the position of the mobile phone corresponding to each detection period is smaller than the abnormal value of the position of the mobile phone corresponding to each detection period, and the abnormal value of the user of the mobile phone corresponding to each detection period is larger than the abnormal value of the user of the mobile phone corresponding to each detection period, judging that the position safety state of the mobile phone corresponding to each detection period is abnormal, and generating a user abnormal signal;
if the abnormal value of the position of the mobile phone corresponding to each detection period is smaller than the abnormal value of the position of the mobile phone corresponding to each detection period, and the abnormal value of the user of the mobile phone corresponding to each detection period is smaller than the abnormal value of the user of the mobile phone corresponding to each detection period, judging that the position safety state of the mobile phone corresponding to each detection period is normal, and generating a position normal signal;
If the abnormal value of the position of the mobile phone corresponding to each detection period is smaller than the abnormal value of the position of the mobile phone corresponding to each detection period, and the abnormal value of the user of the mobile phone corresponding to each detection period is larger than the abnormal value of the user of the mobile phone corresponding to each detection period, judging that the position safety state of the mobile phone corresponding to each detection period is normal, and generating a user normal signal;
And forming a user position signal of the mobile phone corresponding to each detection period by the position abnormal signal, the position normal signal, the user normal signal and the user abnormal signal.
4. A mobile phone security coefficient analysis system based on big data according to claim 3, wherein: the mobile phone corresponds to the safety early warning signals of each detection period, and the specific analysis mode is as follows:
Setting three critical values from the operation security level of the mobile phone corresponding to each detection period, wherein the critical values are respectively expressed as Yj, yk and Yg, j, k and g are all expressed as operation security level numbers of the mobile phone corresponding to each detection period, j, k and g are all values in i, and j is less than k and g is less than n;
if the operation safety level Yi of the mobile phone corresponding to a certain detection period is less than Yj, judging an operation safety fault primary signal of the mobile phone corresponding to the certain detection period, and displaying the state abnormality of the primary signal of the operation safety fault of the mobile phone corresponding to the certain detection period through a safety early warning module;
If the operation security level Tj of the mobile phone corresponding to a certain detection period is less than Yi and less than Yk, judging an operation security fault secondary signal of the mobile phone corresponding to a certain detection period, and displaying the state abnormality of the secondary signal of the operation security fault of the mobile phone corresponding to a certain detection period through a security early warning module;
If the operation security level Tk of the mobile phone corresponding to a certain detection period is less than Yi less than Yg, judging an operation security fault three-level signal of the mobile phone corresponding to the certain detection period, and displaying the state abnormality of the operation security fault three-level signal of the mobile phone corresponding to the certain detection period through a security early warning module;
If the operation security level Tg of the mobile phone corresponding to a certain detection period is less than Yi and less than Yn, judging an operation security fault four-level signal of the mobile phone corresponding to a certain detection period, and displaying the state abnormality of the operation security fault four-level signal of the mobile phone corresponding to a certain detection period through a security early warning module;
wherein Yn represents the operation security level of the mobile phone in each detection period, namely the value of i in Yi is n;
If the safety early warning module receives a position abnormality signal of the mobile phone corresponding to a certain detection period, the safety early warning module is used for displaying the state abnormality of the position abnormality signal of the user position state of the mobile phone corresponding to the certain detection period;
If the safety pre-warning module receives the user abnormal signal corresponding to a certain detection period of the mobile phone, the state abnormality display of the user abnormal signal is carried out on the user position state corresponding to a certain detection period of the mobile phone through the safety pre-warning module.
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