CN111767179A - Computer hardware dimension system based on cloud platform - Google Patents
Computer hardware dimension system based on cloud platform Download PDFInfo
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- CN111767179A CN111767179A CN202010540628.6A CN202010540628A CN111767179A CN 111767179 A CN111767179 A CN 111767179A CN 202010540628 A CN202010540628 A CN 202010540628A CN 111767179 A CN111767179 A CN 111767179A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2205—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2273—Test methods
Abstract
The invention discloses a computer hardware maintenance system based on a cloud platform, which comprises a login module, an identification unit, a database, a damage calculation module, an alarm unit, a cloud server, a result sending module, a data acquisition module and a distribution management module, wherein the login module is used for logging in the database; the login module is used for a user to log in a cloud platform account, and after carrying out security verification on the cloud platform account, the login module transmits computer hardware information to the database for storage; the judging unit acquires computer hardware information from the database, classifies hardware data through the distribution management module, and transmits a classification result to the data analysis module; the data analysis module calculates the loss ratio of the corresponding data according to the loss ratio and transmits the loss ratio to the damage calculation module; the damage degree calculation module carries out damage degree calculation on the related data and calculates the damage value of the hardware; the accuracy of data analysis is improved, the persuasive force of the data is increased, the time consumed by analysis is saved, and the efficiency of data analysis is improved.
Description
Technical Field
The invention relates to the technical field of hardware maintenance management, in particular to a computer hardware maintenance system based on a cloud platform.
Background
The hardware is a general term for computer hardware, which refers to various physical devices composed of electronic, mechanical and optoelectronic components in a computer system, and these physical devices form an organic whole to provide a material basis for computer software operation according to the requirements of the system structure, and the computer hardware is easy to be damaged when in use, so that the hardware is often maintained.
In the existing computer hardware maintenance management, after hardware is used for a period of time, technicians perform fault judgment through self experiences, manpower and time are consumed, data cannot be updated in real time, whether a judgment result is accurate cannot be ensured, and meanwhile, damage time of the hardware without damage cannot be predicted.
Disclosure of Invention
The invention aims to provide a computer hardware maintenance system based on a cloud platform, which is characterized in that a login module is used for logging in a cloud platform account number of a user, a judgment unit is used for acquiring computer hardware information from a database and judging the authenticity of the computer hardware information, a positive signal and two non-signals of hardware authenticity data are transmitted to the database after the judgment, and the database is used for updating data according to the positive signal and the two non-signals, so that the problem that the data cannot be classified and updated in time in the prior art is solved; the method comprises the steps of rapidly logging in and identifying an account number and corresponding data of a user, updating the corresponding data in real time, increasing the accuracy of the data, reducing the difference between the data and an actual situation, classifying hardware data through an allocation management module, and transmitting a classification result to a data analysis module; the data analysis module calculates the loss ratio of the corresponding data according to the loss ratio and transmits the loss ratio to the damage calculation module; the damage degree calculation module calculates the damage degree of the related data to calculate the damage value of the hardware, so as to solve the problem that the data cannot be accurately analyzed in the prior art; the accuracy of data analysis is improved, the persuasive force of the data is increased, the time consumed by analysis is saved, the efficiency of data analysis is improved, the expected damage time of computer hardware is calculated by extracting different damage values and time, and the expected damage time, sound signals and damage signals are transmitted to an alarm unit; the alarm unit acquires the intact signal and the damaged signal and transmits the intact signal and the damaged signal to the result sending module through the cloud server, and the result sending module sends the received intact signal and the received damaged signal to a user to solve the problem that the damage time cannot be predicted in the prior art; the prediction of damage time is increased, the serious damage of hardware is avoided, the time consumed by manual real-time nursing is saved, and the working efficiency is improved.
The purpose of the invention can be realized by the following technical scheme: a computer hardware maintenance system based on a cloud platform comprises a login module, an identification unit, a database, a damage calculation module, an alarm unit, a cloud server, a result sending module, a data acquisition module and an allocation management module;
the login module is used for a user to log in a cloud platform account, and after carrying out security verification on the cloud platform account, the login module transmits computer hardware information to the database for storage;
the judging unit acquires computer hardware information from the database, judges the authenticity of the computer hardware information, transmits hardware data and hardware authenticity data, namely a positive signal and a non-signal, to the database after judgment, and updates the data according to the data;
the distribution management module acquires hardware data in a database, classifies the hardware data into production time data, use time data, temperature data, running time data, survey time data, cloud platform account data and model data, and transmits the hardware data to the data analysis module;
the data analysis module calculates inventory time, application time, damage difference values, damage ratio values, damage difference values, duration difference values, temperature difference values and damage ratio values according to the production time data, the use time data, the temperature data, the operation time long data, the investigation time data, the cloud platform account number data and the model data, and transmits the inventory time, the application time, the damage difference values, the damage ratio values, the damage difference values, the duration difference values, the temperature difference values and the damage ratio values to the damage calculation module;
the damage degree calculation module is used for calculating the inventory time, the application time, the damage difference value, the damage ratio value, the damage difference value, the duration difference value, the temperature difference value and the damage ratio value, and transmitting the damage degree to the damage degree calculation module for damage degree calculation:
the method comprises the following steps: setting a damage ratio of corresponding data;
step two: according to
Calculating the damage value of the hardware;
step three: comparing the damage value with the total damage value, generating a sound signal and a damage signal according to two different results, and transmitting the sound signal and the damage signal to an alarm unit;
the alarm unit acquires the sound signal and the damage signal and transmits the sound signal and the damage signal to the result sending module through the cloud server, and the result sending module sends the received sound signal and the received damage signal to the user.
As a further improvement of the invention: the method comprises the following specific steps of carrying out security verification on a cloud platform account and transmitting computer hardware information by a login module:
s1: a user inputs platform account data and password data in an input transmission unit and transmits the platform account data and the password data to a verification unit;
s2: the verification unit acquires the stored account record data from the database and compares the stored account record data with the platform account data and the password data for verification, and the verification method specifically comprises the following steps:
k1: when the comparison result of the account record data, the platform account data and the password data is consistent, judging that the account exists and the account password is correct, and generating an enable signal;
k2: when the account record data is inconsistent with the comparison result of the platform account data and the password data, judging that the account does not exist or the account password is incorrect, and generating a secondary prohibition signal;
s3: transmitting an enable signal and a disable signal to an upload unit;
s4: the uploading unit identifies a first enable signal and a second disable signal:
when the second forbidden signal is identified, the user is not allowed to upload the computer hardware information;
and when the permission signal is identified, allowing the user to upload the computer hardware information and transmitting the computer hardware information to the database for storage.
As a further improvement of the invention: the political commission determination in the determination unit is specifically:
KS 1: acquiring computer hardware information, marking relevant data related to computer hardware in the computer hardware information as hardware data, and marking a certification document related to the computer hardware in a period as hardware authenticity data;
KS 2: the auditing unit audits the hardware authenticity data and judges whether the hardware is normal:
when the judgment result is normal, generating a positive signal;
when the judgment result is denormal, generating two denormal signals, and transmitting hardware data, a hardware authenticity data-positive signal and two denormal signals to a database;
KS 3: the database receives hardware data, a positive signal and a negative signal of the hardware authenticity data, and identifies the hardware authenticity data:
when a positive signal is identified, replacing computer hardware information with hardware data and hardware authenticity data, and storing the hardware information;
and when the two non-signals are identified, deleting the computer hardware information stored in the database.
As a further improvement of the invention: the specific operation process of distribution management is as follows:
acquiring hardware data, calibrating hardware generation time in the hardware data to production time data, marking the production time data as SCi, i as 1,2,3.. No. n1, acquiring the hardware data, calibrating time for starting use of hardware in the hardware data as use time data, marking the use time data as SYi, i as 1,2,3.. No. n1, acquiring the hardware data, calibrating temperature of the hardware in the hardware data at each use as temperature data, marking the temperature data as SWi, i as 1,2,3.. No. n1, acquiring the hardware data, marking the type data of the hardware in the hardware data as model data, marking the model data as SXi, i as 1,2,3.. No. n1, acquiring the hardware data, and calibrating the daily running time of the hardware in the hardware data as run-time long data, marking the long data in operation as SSi, wherein i is 1,2,3.... No. n1, acquiring hardware data, marking the investigation hardware time point in the hardware data as investigation time data, marking the investigation time data as SJi, wherein i is 1,2,3.. No. n1, and SCi, SYi, SWi, Sxi, SSi, SJi and cloud platform account number data are in one-to-one correspondence;
the method comprises the steps of obtaining cloud platform account data and model data, attributing the model data to corresponding cloud platform account data, attributing production time data, use time data, temperature data, runtime long data and survey time data to corresponding model data, and transmitting the model data to a data analysis module.
As a further improvement of the invention: the specific analysis process of data analysis is as follows:
h1: acquiring production time data and use time data corresponding to the model data, and bringing the production time data and the use time data into a difference calculation formula, thereby calculating inventory time, and marking the inventory time as KCi;
h2: acquiring survey time data and use time data corresponding to the model data, and bringing the survey time data and the use time data into a difference calculation formula, thereby calculating the application time of the hardware, and marking the application time as YYi;
h3: obtaining runtime long data corresponding to the model data, and bringing the runtime long data into a calculation formula:
wherein, PSSiThe average value of the running time length of each day is expressed, namely the running time length average value, the running time length of each day is taken into a difference value calculation formula together with the time length average value data, so that a time length difference value CCi is calculated, the time length difference value larger than zero is calibrated into a damage difference value which is marked as YCi, the number of the damage difference values and the number of the time length difference values are taken into the difference value calculation formula together, and a damage occupation ratio value SZi is calculated;
h4: acquiring temperature data corresponding to the model data, setting a highest temperature preset value M in a safety range, and bringing the highest temperature preset value M and the temperature data into a difference calculation formula together, thereby calculating a temperature difference WCi, marking a numerical value of which the temperature difference is greater than zero as a damaged difference YSi, counting number data of the damaged difference, and bringing the number data of the damaged difference and the two times of the temperature data into an occupation ratio calculation formula together, thereby calculating an occupation ratio of the number of the damaged difference to the temperature data measurement, namely a damaged occupation ratio, and marking the occupation ratio as YZi;
h5: and transmitting the inventory time, the application time, the damage difference value, the damage ratio value, the damage difference value and the damage ratio value to a database for storage.
As a further improvement of the invention: the specific calculation process of the damage degree calculation is as follows:
g1: acquiring inventory time, application time, a damage difference value, a damage ratio value, a damage difference value and a damage ratio value, and setting the inventory time, the application time, the damage ratio value and the damage ratio of the damage difference value, wherein the sum of the damage ratio values is equal to 1;
g2: the inventory time, application time, damage differential, damage fraction, damage differential and damage fraction are brought into a calculation with the inventory time, application time, damage differential and damage fraction of the damage differential:
calculating damage value of computer hardware, wherein EDecrease in the thickness of the steelThe damage values are expressed, u1, u2, u3 and u4 are respectively expressed as damage proportion of inventory time, application time, damage difference values and damage difference values, e is expressed as an influence deviation factor of the loss value, the value of e is 0.39286541, L1 is expressed as an integrated deviation factor of a duration difference value and a temperature difference value, and the value is 0.72504;
g3: a total damage value R1 of the computer hardware is set and is compared with the damage value EDecrease in the thickness of the steelComparing when E isDecrease in the thickness of the steelIf R1 is less than the threshold, it is determined that the computer hardware is not damaged and a good signal is generated, and if E isDecrease in the thickness of the steelWhen the voltage is not less than R1, judging that the computer hardware is damaged, and generating a damage signal;
g4: extracting the intact signal and the damaged signal, identifying the intact signal and the damaged signal, sending the damaged signal to an alarm unit when identifying the damaged signal, and acquiring the damaged value E corresponding to different time periods when identifying the intact signalDecrease in the thickness of the steelAnd a time point corresponding to the damage value;
g5: and carrying out difference calculation on the damage values of two different time periods, carrying out time difference calculation on corresponding time points, calculating the increase rate of the damage values, bringing the increase rates of a plurality of damage values into a mean value calculation formula, calculating the average increase rate of the damage values, and bringing the average increase rate of the damage values into a calculation formula together with the total damage values and the damage values:
wherein Ti is expressed as the predicted time to failure, PVIncreaseExpressed as mean rate of increase of damage value.
The invention has the beneficial effects that:
(1) the method comprises the steps that a login module logs in a cloud platform account of a user, a judging unit obtains computer hardware information from a database and judges whether the computer hardware information is true or false, hardware data and hardware true or false data, namely a positive signal and a non-positive signal are transmitted to the database after the computer hardware information is judged, and the database updates data according to the hardware data and the hardware true or false data; the account number and the corresponding data of the user are quickly logged in and identified, the corresponding data are updated in real time, the accuracy of the data is improved, and the difference value between the data and the actual situation is small.
(2) Hardware data are classified through a distribution management module, and classification results are transmitted to a data analysis module; the data analysis module calculates the loss ratio of the corresponding data according to the loss ratio and transmits the loss ratio to the damage calculation module; the damage degree calculation module carries out damage degree calculation on the related data and calculates the damage value of the hardware; the accuracy of data analysis is improved, the persuasive force of the data is increased, the time consumed by analysis is saved, and the efficiency of data analysis is improved.
(3) Calculating the predicted damage time of the computer hardware by extracting different damage values and time, and transmitting the predicted damage time, the sound signal and the damage signal to an alarm unit; the alarm unit acquires the intact signal and the damaged signal and transmits the intact signal and the damaged signal to the result sending module through the cloud server, and the result sending module sends the received intact signal and the received damaged signal to the user; the prediction of damage time is increased, the serious damage of hardware is avoided, the time consumed by manual real-time nursing is saved, and the working efficiency is improved.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention is a computer hardware management system based on a cloud platform, including a login module, an identification unit, a database, a damage calculation module, an alarm unit, a cloud server, a result transmission module, a data acquisition module, and a distribution management module;
the login module comprises an input transmission unit, a verification unit and an uploading unit, the login module is used for a user to log in a cloud platform account, the user inputs platform account data and password data in the input transmission unit and transmits the platform account data and the password data to the verification unit, account record data are stored in a database and refer to the user account data and the password data stored in the database, the verification unit acquires the stored account record data from the database and compares the stored account record data with the platform account data and the password data for verification, and the specific comparison and verification process is as follows:
k1: when the comparison result of the account record data, the platform account data and the password data is consistent, judging that the account exists and the account password is correct, and generating an enable signal;
k2: when the account record data is inconsistent with the comparison result of the platform account data and the password data, judging that the account does not exist or the account password is incorrect, and generating a secondary prohibition signal;
k3: transmitting an enable signal and a disable signal to an upload unit;
the uploading unit identifies the first permission signal and the second prohibition signal, does not allow the user to upload the computer hardware information when the second prohibition signal is identified, and allows the user to upload the computer hardware information when the first permission signal is identified and transmits the computer hardware information to the database for storage;
the judging unit acquires computer hardware information from the database, judges the authenticity of the computer hardware information, and transmits hardware data, a positive signal and two non-signals of the hardware authenticity data to the database after judgment, which specifically comprises the following steps:
acquiring computer hardware information, marking relevant data about computer hardware in the computer hardware information as hardware data, marking a certification document about the computer hardware in the computer hardware information as hardware authenticity data, auditing the hardware authenticity data by an auditing unit, judging whether the hardware is legitimate or not, generating a positive signal when the judgment result is legitimate, generating two non-signals when the judgment result is non-legitimate, and transmitting the hardware data, the hardware authenticity data, the positive signal and the two non-signals to a database, wherein the auditing unit is arranged in the judgment unit;
the database receives hardware data, a positive signal and a negative signal of the hardware authenticity data, and identifies the hardware authenticity data: when a positive signal is identified, replacing computer hardware information with hardware data and hardware authenticity data, storing the computer hardware information, and when a negative signal is identified, deleting the computer hardware information stored in the database;
the allocation management module acquires hardware data in the database and performs allocation management on the hardware data, and specifically comprises the following steps: acquiring hardware data, calibrating hardware generation time in the hardware data to production time data, marking the production time data as SCi, i as 1,2,3.. No. n1, acquiring the hardware data, calibrating time for starting use of hardware in the hardware data as use time data, marking the use time data as SYi, i as 1,2,3.. No. n1, acquiring the hardware data, calibrating temperature of the hardware in the hardware data at each use as temperature data, marking the temperature data as SWi, i as 1,2,3.. No. n1, acquiring the hardware data, marking the type data of the hardware in the hardware data as model data, marking the model data as SXi, i as 1,2,3.. No. n1, acquiring the hardware data, and calibrating the daily running time of the hardware in the hardware data as run-time long data, marking the long data in operation as SSi, wherein i is 1,2,3.... No. n1, acquiring hardware data, marking the investigation hardware time point in the hardware data as investigation time data, marking the investigation time data as SJi, wherein i is 1,2,3.. No. n1, and SCi, SYi, SWi, Sxi, SSi, SJi and cloud platform account number data are in one-to-one correspondence;
acquiring cloud platform account data and model data, attributing the model data to the corresponding cloud platform account data, attributing production time data, use time data, temperature data, runtime long data and survey time data to the corresponding model data, and transmitting the production time data, the use time data, the temperature data, the runtime long data and the survey time data to a data analysis module;
the data analysis module is used for carrying out data analysis on production time data, use time data, temperature data, runtime long data, survey time data, cloud platform account data and model data, and the specific analysis process of the data analysis is as follows:
h1: acquiring production time data and use time data corresponding to the model data, and bringing the production time data and the use time data into a difference calculation formula, thereby calculating inventory time, and marking the inventory time as KCi;
h2: acquiring survey time data and use time data corresponding to the model data, and bringing the survey time data and the use time data into a difference calculation formula, thereby calculating the application time of the hardware, and marking the application time as YYi;
h3: obtaining runtime long data corresponding to the model data, and bringing the runtime long data into a calculation formula:
wherein, PSSiThe average value of the running time length of each day is expressed, namely the running time length average value, the running time length of each day is taken into a difference value calculation formula together with the time length average value data, so that a time length difference value CCi is calculated, the time length difference value larger than zero is calibrated into a damage difference value which is marked as YCi, the number of the damage difference values and the number of the time length difference values are taken into the difference value calculation formula together, and a damage occupation ratio value SZi is calculated;
h4: acquiring temperature data corresponding to the model data, setting a highest temperature preset value M in a safety range, and bringing the highest temperature preset value M and the temperature data into a difference calculation formula together, thereby calculating a temperature difference WCi, marking a numerical value of which the temperature difference is greater than zero as a damaged difference YSi, counting number data of the damaged difference, and bringing the number data of the damaged difference and the two times of the temperature data into an occupation ratio calculation formula together, thereby calculating an occupation ratio of the number of the damaged difference to the temperature data measurement, namely a damaged occupation ratio, and marking the occupation ratio as YZi;
h5: transmitting the inventory time, the application time, the damage difference value, the damage ratio value, the damage difference value and the damage ratio value to a database for storage;
the damage degree calculation module obtains inventory time, application time, damage difference values, damage ratio values, damage difference values and damage ratio values from a database, and calculates the damage degree of the database, wherein the damage degree calculation process comprises the following specific steps:
g1: acquiring inventory time, application time, a damage difference value, a damage ratio value, a damage difference value and a damage ratio value, and setting the inventory time, the application time, the damage ratio value and the damage ratio of the damage difference value, wherein the sum of the damage ratio values is equal to 1;
g2: the inventory time, application time, damage differential, damage fraction, damage differential and damage fraction are brought into a calculation with the inventory time, application time, damage differential and damage fraction of the damage differential:
calculating damage value of computer hardware, wherein EDecrease in the thickness of the steelThe damage values are expressed, u1, u2, u3 and u4 are respectively expressed as damage proportion of inventory time, application time, damage difference values and damage difference values, e is expressed as an influence deviation factor of the loss value, the value of e is 0.39286541, L1 is expressed as an integrated deviation factor of a duration difference value and a temperature difference value, and the value is 0.72504;
g3: a total damage value R1 of the computer hardware is set and is compared with the damage value EDecrease in the thickness of the steelComparing when E isDecrease in the thickness of the steelIf R1 is less than the threshold, it is determined that the computer hardware is not damaged and a good signal is generated, and if E isDecrease in the thickness of the steelWhen the voltage is not less than R1, judging that the computer hardware is damaged, and generating a damage signal;
g4: extracting the sound signal and the damage signal, identifying the sound signal and the damage signal, sending the damage signal to an alarm unit when the damage signal is identified,when a good signal is identified, obtaining damage values E corresponding to different time periodsDecrease in the thickness of the steelAnd a time point corresponding to the damage value;
g5: and carrying out difference calculation on the damage values of two different time periods, carrying out time difference calculation on corresponding time points, calculating the increase rate of the damage values, bringing the increase rates of a plurality of damage values into a mean value calculation formula, calculating the average increase rate of the damage values, and bringing the average increase rate of the damage values into a calculation formula together with the total damage values and the damage values:
wherein Ti is expressed as the predicted time to failure, PVIncreaseExpressed as mean rate of increase of damage value;
g6: transmitting the estimated damage time to an alarm unit together with a sound signal;
the alarm unit is used for receiving the sound signal, the estimated damage time and the damage signal and transmitting the sound signal, the estimated damage time and the damage signal to the result sending module through the cloud server, and the result sending module sends the received sound signal, the estimated damage time and the damage signal to a user.
When the cloud platform management system works, the login module is used for a user to log in a cloud platform account, and after the user performs security verification on the cloud platform account, the login module transmits computer hardware information to the database for storage; the judging unit acquires computer hardware information from the database, judges the authenticity of the computer hardware information, transmits hardware data and hardware authenticity data, namely a positive signal and a non-signal, to the database after judgment, and updates the data according to the data; the distribution management module acquires hardware data in the database, classifies the hardware data into production time data, use time data, temperature data, runtime long data, survey time data, cloud platform account data and model data, and transmits the hardware data to the data analysis module; the data analysis module calculates inventory time, application time, damage difference values, damage ratio values, damage difference values, duration difference values, temperature difference values and damage ratio values according to the production time data, the use time data, the temperature data, the long data during operation, the survey time data, the cloud platform account number data and the model data, and transmits the inventory time, the application time, the damage difference values, the damage ratio values, the duration difference values, the temperature difference values and the damage ratio values to the damage degreeA calculation module; the damage degree calculation module is used for calculating the inventory time, the application time, the damage difference value, the damage ratio value, the damage difference value, the duration difference value, the temperature difference value and the damage ratio value, and transmitting the damage degree to the damage degree calculation module for damage degree calculation: setting a damage ratio of corresponding data; according to
Calculating the damage value of the hardware; comparing the damage value with the total damage value, generating a sound signal and a damage signal according to two different results, identifying the sound signal, extracting different damage values and time when the sound signal is identified, calculating the estimated damage time of the computer hardware, and transmitting the estimated damage time, the sound signal and the damage signal to an alarm unit; the alarm unit acquires the sound signal and the damage signal and transmits the sound signal and the damage signal to the result sending module through the cloud server, and the result sending module sends the received sound signal and the received damage signal to the user.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (6)
1. A computer hardware maintenance system based on a cloud platform is characterized by comprising a login module, an identification unit, a database, a damage calculation module, an alarm unit, a cloud server, a result sending module, a data acquisition module and a distribution management module;
the login module is used for a user to log in a cloud platform account, and after carrying out security verification on the cloud platform account, the login module transmits computer hardware information to the database for storage;
the judging unit acquires computer hardware information from the database, judges the authenticity of the computer hardware information, transmits hardware data and hardware authenticity data, namely a positive signal and a non-signal, to the database after judgment, and updates the data according to the data;
the distribution management module acquires hardware data in a database, classifies the hardware data into production time data, use time data, temperature data, running time data, survey time data, cloud platform account data and model data, and transmits the hardware data to the data analysis module;
the data analysis module calculates inventory time, application time, damage difference values, damage ratio values, damage difference values, duration difference values, temperature difference values and damage ratio values according to the production time data, the use time data, the temperature data, the operation time long data, the investigation time data, the cloud platform account number data and the model data, and transmits the inventory time, the application time, the damage difference values, the damage ratio values, the damage difference values, the duration difference values, the temperature difference values and the damage ratio values to the damage calculation module;
the damage degree calculation module is used for calculating the inventory time, the application time, the damage difference value, the damage ratio value, the damage difference value, the duration difference value, the temperature difference value and the damage ratio value, and transmitting the damage degree to the damage degree calculation module for damage degree calculation:
the method comprises the following steps: setting a damage ratio of corresponding data;
step two: according to
Calculating the damage value of the hardware;
step three: comparing the damage value with the total damage value, generating a sound signal and a damage signal according to two different results, and transmitting the sound signal and the damage signal to an alarm unit;
the alarm unit acquires the sound signal and the damage signal and transmits the sound signal and the damage signal to the result sending module through the cloud server, and the result sending module sends the received sound signal and the received damage signal to the user.
2. The computer hardware management system based on the cloud platform according to claim 1, wherein the specific steps of the login module performing security verification on the cloud platform account and transmitting computer hardware information are as follows:
s1: a user inputs platform account data and password data in an input transmission unit and transmits the platform account data and the password data to a verification unit;
s2: the verification unit acquires the stored account record data from the database and compares the stored account record data with the platform account data and the password data for verification, and the verification method specifically comprises the following steps:
k1: when the comparison result of the account record data, the platform account data and the password data is consistent, judging that the account exists and the account password is correct, and generating an enable signal;
k2: when the account record data is inconsistent with the comparison result of the platform account data and the password data, judging that the account does not exist or the account password is incorrect, and generating a secondary prohibition signal;
s3: transmitting an enable signal and a disable signal to an upload unit;
s4: the uploading unit identifies a first enable signal and a second disable signal:
when the second forbidden signal is identified, the user is not allowed to upload the computer hardware information;
and when the permission signal is identified, allowing the user to upload the computer hardware information and transmitting the computer hardware information to the database for storage.
3. The cloud platform-based computer hardware management system according to claim 1, wherein the political commission determination in the determination unit is specifically:
KS 1: acquiring computer hardware information, marking relevant data related to computer hardware in the computer hardware information as hardware data, and marking a certification document related to the computer hardware in a period as hardware authenticity data;
KS 2: the auditing unit audits the hardware authenticity data and judges whether the hardware is normal:
when the judgment result is normal, generating a positive signal;
when the judgment result is denormal, generating two denormal signals, and transmitting hardware data, a hardware authenticity data-positive signal and two denormal signals to a database;
KS 3: the database receives hardware data, a positive signal and a negative signal of the hardware authenticity data, and identifies the hardware authenticity data:
when a positive signal is identified, replacing computer hardware information with hardware data and hardware authenticity data, and storing the hardware information;
and when the two non-signals are identified, deleting the computer hardware information stored in the database.
4. The cloud platform-based computer hardware management system according to claim 1, wherein the specific operation process of allocation management is as follows:
acquiring hardware data, calibrating hardware generation time in the hardware data to production time data, marking the production time data as SCi, i as 1,2,3.. No. n1, acquiring the hardware data, calibrating time for starting use of hardware in the hardware data as use time data, marking the use time data as SYi, i as 1,2,3.. No. n1, acquiring the hardware data, calibrating temperature of the hardware in the hardware data at each use as temperature data, marking the temperature data as SWi, i as 1,2,3.. No. n1, acquiring the hardware data, marking the type data of the hardware in the hardware data as model data, marking the model data as SXi, i as 1,2,3.. No. n1, acquiring the hardware data, and calibrating the daily running time of the hardware in the hardware data as run-time long data, marking the long data in operation as SSi, wherein i is 1,2,3.... No. n1, acquiring hardware data, marking the investigation hardware time point in the hardware data as investigation time data, marking the investigation time data as SJi, wherein i is 1,2,3.. No. n1, and SCi, SYi, SWi, Sxi, SSi, SJi and cloud platform account number data are in one-to-one correspondence;
the method comprises the steps of obtaining cloud platform account data and model data, attributing the model data to corresponding cloud platform account data, attributing production time data, use time data, temperature data, runtime long data and survey time data to corresponding model data, and transmitting the model data to a data analysis module.
5. The cloud platform-based computer hardware management system according to claim 1, wherein the specific analysis process of data analysis is as follows:
h1: acquiring production time data and use time data corresponding to the model data, and bringing the production time data and the use time data into a difference calculation formula, thereby calculating inventory time, and marking the inventory time as KCi;
h2: acquiring survey time data and use time data corresponding to the model data, and bringing the survey time data and the use time data into a difference calculation formula, thereby calculating the application time of the hardware, and marking the application time as YYi;
h3: obtaining runtime long data corresponding to the model data, and bringing the runtime long data into a calculation formula:
wherein, PSSiThe average value of the running time length of each day is expressed, namely the running time length average value, the running time length of each day is taken into a difference value calculation formula together with the time length average value data, so that a time length difference value CCi is calculated, the time length difference value larger than zero is calibrated into a damage difference value which is marked as YCi, the number of the damage difference values and the number of the time length difference values are taken into the difference value calculation formula together, and a damage occupation ratio value SZi is calculated;
h4: acquiring temperature data corresponding to the model data, setting a highest temperature preset value M in a safety range, and bringing the highest temperature preset value M and the temperature data into a difference calculation formula together, thereby calculating a temperature difference WCi, marking a numerical value of which the temperature difference is greater than zero as a damaged difference YSi, counting number data of the damaged difference, and bringing the number data of the damaged difference and the two times of the temperature data into an occupation ratio calculation formula together, thereby calculating an occupation ratio of the number of the damaged difference to the temperature data measurement, namely a damaged occupation ratio, and marking the occupation ratio as YZi;
h5: and transmitting the inventory time, the application time, the damage difference value, the damage ratio value, the damage difference value and the damage ratio value to a database for storage.
6. The cloud platform-based computer hardware management system according to claim 1, wherein the damage degree calculation comprises the following specific calculation processes:
g1: acquiring inventory time, application time, a damage difference value, a damage ratio value, a damage difference value and a damage ratio value, and setting the inventory time, the application time, the damage ratio value and the damage ratio of the damage difference value, wherein the sum of the damage ratio values is equal to 1;
g2: the inventory time, application time, damage differential, damage fraction, damage differential and damage fraction are brought into a calculation with the inventory time, application time, damage differential and damage fraction of the damage differential:
calculating damage value of computer hardware, wherein EDecrease in the thickness of the steelThe damage values are expressed, u1, u2, u3 and u4 are respectively expressed as damage proportion of inventory time, application time, damage difference values and damage difference values, e is expressed as an influence deviation factor of the loss value, the value of e is 0.39286541, L1 is expressed as an integrated deviation factor of a duration difference value and a temperature difference value, and the value is 0.72504;
g3: a total damage value R1 of the computer hardware is set and is compared with the damage value EDecrease in the thickness of the steelComparing when E isDecrease in the thickness of the steelIf R1 is less than the threshold, it is determined that the computer hardware is not damaged and a good signal is generated, and if E isDecrease in the thickness of the steelWhen the voltage is not less than R1, judging that the computer hardware is damaged, and generating a damage signal;
g4: extracting the intact signal and the damaged signal, identifying the intact signal and the damaged signal, sending the damaged signal to an alarm unit when identifying the damaged signal, and acquiring the damaged value E corresponding to different time periods when identifying the intact signalDecrease in the thickness of the steelAnd a time point corresponding to the damage value;
g5: and carrying out difference calculation on the damage values of two different time periods, carrying out time difference calculation on corresponding time points, calculating the increase rate of the damage values, bringing the increase rates of a plurality of damage values into a mean value calculation formula, calculating the average increase rate of the damage values, and bringing the average increase rate of the damage values into a calculation formula together with the total damage values and the damage values:
wherein Ti is expressed as the predicted time to failure, PVIncreaseExpressed as mean rate of increase of damage value.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112032145A (en) * | 2020-11-03 | 2020-12-04 | 山东交通职业学院 | Hydraulic system for engineering machinery provided with protection device |
| CN114978414A (en) * | 2021-11-08 | 2022-08-30 | 淮阴师范学院 | Data transmission method and system based on big data and non-orthogonal multiple access |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112032145A (en) * | 2020-11-03 | 2020-12-04 | 山东交通职业学院 | Hydraulic system for engineering machinery provided with protection device |
| CN114978414A (en) * | 2021-11-08 | 2022-08-30 | 淮阴师范学院 | Data transmission method and system based on big data and non-orthogonal multiple access |
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