CN111752791A - Intelligent adjusting system and method for computer operation - Google Patents

Abstract

The invention discloses a computer operation intelligent regulation system and a regulation method, comprising an operation acquisition module, a data analysis module, a controller, a signal processing module, a collection verification module and a text interconnection module; the invention relates to a method for adjusting and displaying text suggestions, which comprises the steps of redefining the time-interval working operation condition of each computer in each area through marking, carrying out assignment weight processing and mean value discretization analysis and comparison to obtain the comprehensive operation condition of all computers in each area, associating each area in a medium condition with the electromagnetic interference condition of each real-time area, comparing a defined threshold value to obtain an area-level condition judgment signal, associating each area in a low condition with the environment combination condition of each computer in the real-time area, and obtaining a computer-level condition judgment signal through data definition marking, correction formula analysis and double-order preset comparison to make the associated text suggestions adjusted and displayed.

Description

Intelligent adjusting system and method for computer operation

Technical Field

The invention relates to the technical field of intelligent regulation of computers, in particular to an intelligent regulation system and a regulation method for computer operation.

Background

The computer is a type of electronic computing equipment for high-speed computing, and can automatically process mass data according to a preset program; it can not only carry out numerical calculation, but also can carry out logic calculation, and has the functions of storage and memory.

In the document with publication number CN108829565A, only the temperature signal, the wind speed signal, the fan operation image and the chassis vibration signal in the chassis during the operation of the computer are collected together, so that the worker knows the carrying state in the chassis during the operation of the computer, thereby ensuring the normal operation of the computer;

the existing intelligent adjusting system and adjusting method for computer operation only acquire and analyze data from a single layer of the operation of a designated computer, but are difficult to perform marking redefinition, assignment weight processing and mean value discrete analysis and comparison on the working operation condition of each computer in each area, and accordingly make real-time subsequent interference elimination judgment operation so as to ensure the accuracy of adjustment and analysis and the feedback pertinence of the computer operation;

in order to solve the above-mentioned drawbacks, a technical solution is now provided.

Disclosure of Invention

The invention aims to provide a computer operation intelligent regulation system and a regulation method, which obtains the comprehensive operation conditions of all computers of each region by redefining the time-interval working operation condition of each computer of each region through marking, processing the assigned weight and carrying out the discretization analysis and comparison of the mean value, associates each region with the electromagnetic interference condition of the region with the real time property under the medium condition, obtains the condition judgment signal of the region level through the comparison of a defined threshold value, associates each region with the environment combination condition of each computer of the region with the real time property under the low condition, obtains the condition judgment signal of the computer level through data definition marking, correction formula analysis and double-step presetting comparison, further obtains the relevant text suggestion regulation display according to the interference elimination judgment processing from the time-interval integral operation analysis to the real time property fine level, so as to ensure the adjustment analysis accuracy and feedback pertinence of computer operation.

The technical problems to be solved by the invention are as follows:

according to an effective mode, the problem that the existing intelligent adjusting system and adjusting method for computer operation only acquire and analyze data from a single layer of the operation of a designated computer, but the working operation condition of each computer in each area is difficult to be marked, redefined, assigned with weight processing and subjected to mean value discrete analysis and comparison, and accordingly, subsequent interference elimination judgment operation in real time is carried out, so that the adjusting analysis accuracy and feedback pertinence of the computer operation are guaranteed.

The purpose of the invention can be realized by the following technical scheme:

an intelligent regulation system for computer operation comprises an operation acquisition module, a data analysis module, a controller, a signal processing module, a collection and verification module and a text interconnection module;

the operation acquisition module is used for acquiring the work operation information of each computer in each area and transmitting the work operation information to the data analysis module;

the data analysis module carries out time-interval carrying comprehensive condition analysis operation on each computer according to the received work operation information of each computer in each area to obtain a carrying normal signal, a deep layer detailed judgment signal and a deep layer integral judgment signal, and transmits the carrying normal signal, the deep layer detailed judgment signal and the deep layer integral judgment signal to the signal processing module through the controller;

after the signal processing module receives the carrying normal signal, no feedback processing is carried out;

the signal processing module is used for calling real-time electromagnetic interference information of each corresponding region from the collection verification module after receiving the deep layer integral judgment signal, the electromagnetic interference information represents the product of the environmental electromagnetic interference amount and the environmental dust concentration amount, the data can be obtained in a sensor mode, a monitor mode and the like, and when the real-time electromagnetic interference information of each region in the deep layer integral judgment signal is greater than or equal to a rated threshold value and smaller than the rated threshold value, a high-interference judgment signal and a low-interference judgment signal are respectively generated in the region corresponding to the deep layer integral judgment signal and are transmitted to the text interconnection module;

after receiving the deep detailed judgment signal, the signal processing module calls real-time environmental interference combination information of each computer in each corresponding area from the collection and verification module to perform environmental factor judgment operation on the signals so as to obtain an extreme difference signal and a differential quantity signal, and transmits the extreme difference signal and the differential quantity signal to the text interconnection module;

the collection and verification module is used for collecting electromagnetic interference information of each area and environment interference combination information of each computer of each area in real time and storing the information into an internal folder;

after receiving the high interference judgment signal, the text interconnection module edits a text of 'regional interference condition to be adjusted and computer running condition maintenance' and sends the text to a display screen; after receiving the low interference judgment signal, the text interconnection module edits a text of maintaining the regional interference condition and waiting for overhaul of the running condition of the computer and sends the text to a display screen;

after the text interconnection module receives the range difference signal, editing a text which needs to be improved in environment and managed by a computer and sending the text to a display screen through a color mark; after the text interconnection module receives the differential quantity signal, the text of 'environment needing to be kept and computer needing to be managed' is edited and sent to a display screen through a flashing mark.

Furthermore, the work operation information comprises operation temperature data, fan rotating speed data, operation current data, operation voltage data, CPU utilization rate and process data, and all the data can be obtained according to the modes of a sensor, a monitor and the like;

the specific steps of the time-interval carrying comprehensive condition analysis operation are as follows:

the method comprises the following steps: acquiring the work operation information of each computer in each area in a first time period, defining the quotient of the average operation temperature data and the fan rotating speed variation data in the work operation information as a temperature ratio, and is calibrated to Qij, i is 1.. n, j is 1.. m, the product of the operation current variation data and the operation voltage variation data is defined as the flow pressure, and is designated Wij, i 1.. n, j 1.. m, wherein the quotient of the average CPU utilization and the average process number is defined as the process quantity, and is designated Eij, i 1.. n, j 1.. m, qij, Wij and Eij are in one-to-one correspondence with each other, the first time period represents the time length of one hour, the variable i corresponds to each region, the variable j corresponds to each computer, and the variables n and m both represent positive integers greater than 1;

step two: when the temperature ratio Qij of each computer in each region in the first time period is greater than the maximum value of the preset range q, is within the preset range q and is less than the minimum value of the preset range q, the temperature ratio Qij is respectively arranged in a first step, a second step and a third step, the first step, the second step and the third step respectively correspond to calibration positive values M1, M2 and M3, and M1 is greater than M2 and greater than M3; when the flow pressure Wij of each computer in each area in the first time period is greater than a preset value w and less than or equal to the preset value w, respectively placing the flow pressure Wij in a first quantity-equalizing section and a second quantity-equalizing section, wherein the first quantity-equalizing section and the second quantity-equalizing section respectively correspond to a calibration positive value N1 and a calibration positive value N2, and N1 is greater than N2; when the stroke quantity Eij of each computer in each region in the first time period is larger than the maximum value of the preset range e, is positioned in the preset range e and is smaller than the minimum value of the preset range e, the stroke quantity Eij is respectively placed in a first scalar level, a second scalar level and a third scalar level, the first scalar level, the second scalar level and the third scalar level respectively correspond to B1, B2 and B3, and B1 is larger than B2 and larger than B3;

step three: first according to the formula

N, j 1.. m, the carrying indexes Rij, α, β of each computer of each region in the first time period are obtained, the carrying indexes Rij, α, β and the carrying indexes are weight coefficients, α is larger than β, α + β + (5.3185), and the carrying indexes are calculated according to a formula

N and 1

N, obtaining a mean value Ti and a discrete value Yi of the carrying index of all computers of each region in the first time period;

step four: when the carrying index mean value Ti of all computers in each area in the first time period is smaller than a preset value t and the carrying index discrete value Yi of all computers in each area is smaller than a preset value y, all the computers in the area corresponding to Ti or Yi generate carrying normal signals; when the carrying index mean value Ti of all computers in each area in the first time period is larger than or equal to the preset value t and the carrying index discrete value Yi of all computers in each area is smaller than the preset value y, generating deep detailed distinguishing signals for the areas corresponding to Ti or Yi; in other cases, the deep layer integral judgment signal is generated in the area corresponding to Ti or Yi.

Further, the environment interference combination information consists of a temperature factor, a power factor and an electromagnetic factor; the temperature factor represents the product of the operating temperature data and the environmental wind speed data of each computer in each area, divided by the environmental temperature data, the power factor represents the environmental humidity data of each computer in each area, divided by the product of the operating power data and the operating partial discharge data, the electromagnetic factor represents the environmental electromagnetic interference amount of each computer in each area, divided by the operating data transmission rate, and all the data can be obtained in a sensor, a monitor and other modes;

the environment factor distinguishing operation comprises the following specific steps:

the method comprises the following steps: acquiring environmental interference combination information of each computer in each region in real time, respectively marking the temperature factor, the power factor and the electromagnetic factor corresponding to the environmental interference combination information as Ubp, Vbp and Abp, wherein b is 1.. v, p is 1.. c, the Ubp, the Vbp and the Abp are in one-to-one correspondence, the variable b is corresponding to each region in the deep fine discrimination signal, the variable p is corresponding to each computer in the region in the deep fine discrimination signal, and the variables v and c represent positive integers more than 1;

step two: first according to the formula

b 1.. v, p 1.. c, obtaining real-time environment combination interference carrying magnitude Dbp of each computer in each region, wherein u, v and a are environment interference correction factors, u is greater than a and v, and u + v + a is 4.3181, and then according to a formula

V, and

obtaining real-time environment combined interference carrier magnitude mean values Fb of all computers in all the areas and obtaining real-time environment combined interference carrier magnitude mean values G of all the computers in all the areas;

step three: when the real-time environment combined interference carrier magnitude Dbp of each computer in each region is greater than or equal to the real-time environment combined interference carrier magnitude mean value Fb of all computers in each region and is also greater than or equal to the real-time environment combined interference carrier magnitude mean value G of all computers in all regions, generating a range signal by the Dbp; in other cases, the Dbp is used to generate a differential signal.

An intelligent regulation method for computer operation comprises the following steps:

step 1: the method comprises the following steps of collecting the work operation information of each computer in each area, wherein the work operation information consists of operation temperature data, fan rotating speed data, operation current data, operation voltage data, CPU utilization rate and process data, the data can be obtained according to the modes of a sensor, a monitor and the like, and time-interval carrying comprehensive condition analysis operation is carried out on the data, and the method comprises the following specific steps:

the method comprises the following steps: acquiring the work operation information of each computer in each area in a first time period, defining the quotient of the average operation temperature data and the fan rotating speed variation data in the work operation information as a temperature ratio, and is calibrated to Qij, i is 1.. n, j is 1.. m, the product of the operation current variation data and the operation voltage variation data is defined as the flow pressure, and is designated Wij, i 1.. n, j 1.. m, wherein the quotient of the average CPU utilization and the average process number is defined as the process quantity, and is designated Eij, i 1.. n, j 1.. m, qij, Wij and Eij are in one-to-one correspondence with each other, the first time period represents the time length of one hour, the variable i corresponds to each region, the variable j corresponds to each computer, and the variables n and m both represent positive integers greater than 1;

step two: when the temperature ratio Qij of each computer in each region in the first time period is greater than the maximum value of the preset range q, is within the preset range q and is less than the minimum value of the preset range q, the temperature ratio Qij is respectively arranged in a first step, a second step and a third step, the first step, the second step and the third step respectively correspond to calibration positive values M1, M2 and M3, and M1 is greater than M2 and greater than M3; when the flow pressure Wij of each computer in each area in the first time period is greater than a preset value w and less than or equal to the preset value w, respectively placing the flow pressure Wij in a first quantity-equalizing section and a second quantity-equalizing section, wherein the first quantity-equalizing section and the second quantity-equalizing section respectively correspond to a calibration positive value N1 and a calibration positive value N2, and N1 is greater than N2; when the stroke quantity Eij of each computer in each region in the first time period is larger than the maximum value of the preset range e, is positioned in the preset range e and is smaller than the minimum value of the preset range e, the stroke quantity Eij is respectively placed in a first scalar level, a second scalar level and a third scalar level, the first scalar level, the second scalar level and the third scalar level respectively correspond to B1, B2 and B3, and B1 is larger than B2 and larger than B3;

step three: first according to the formula

N, j 1.. m, the carrying indexes Rij, α, β of each computer of each region in the first time period are obtained, the carrying indexes Rij, α, β and the carrying indexes are weight coefficients, α is larger than β, α + β + (5.3185), and the carrying indexes are calculated according to a formula

N and 1

N, obtaining carrying fingers of all computers of each area in the first time periodNumber average value Ti and carrying index discrete value Yi;

step four: when the carrying index mean value Ti of all computers in each area in the first time period is smaller than a preset value t and the carrying index discrete value Yi of all computers in each area is smaller than a preset value y, all the computers in the area corresponding to Ti or Yi generate carrying normal signals; when the carrying index mean value Ti of all computers in each area in the first time period is larger than or equal to the preset value t and the carrying index discrete value Yi of all computers in each area is smaller than the preset value y, generating deep detailed distinguishing signals for the areas corresponding to Ti or Yi; under other conditions, the region corresponding to Ti or Yi generates a deep integral judgment signal;

to obtain a carrying normal signal, a deep detailed discrimination signal and a deep integral discrimination signal;

step 2: according to the received carrying normal signal, no feedback processing is carried out;

according to the received deep layer integral judgment signal, real-time electromagnetic interference information of each corresponding area is called, the electromagnetic interference information represents the product of the environmental electromagnetic interference amount and the environmental dust concentration amount, all the data can be obtained in a sensor, a monitor and the like, and when the real-time electromagnetic interference information of each area in the deep layer integral judgment signal is larger than or equal to a rated threshold value and smaller than the rated threshold value, a high interference judgment signal and a low interference judgment signal are respectively generated in the area corresponding to the deep layer integral judgment signal;

according to the received deep detailed judgment signal, real-time environment interference combination information of each computer in each corresponding area is called, and the environment interference combination information consists of temperature factors, power factors and electromagnetic factors; the temperature factor represents the product of the operating temperature data and the environmental wind speed data of each computer in each area, divided by the environmental temperature data, the power factor represents the environmental humidity data of each computer in each area, divided by the product of the operating power data and the operating partial discharge data, the electromagnetic factor represents the environmental electromagnetic interference amount of each computer in each area, divided by the operating data transmission rate, all the data can be obtained according to the modes of a sensor, a monitor and the like, and the environmental factor distinguishing operation is carried out on the data, and the method specifically comprises the following steps:

the method comprises the following steps: acquiring environmental interference combination information of each computer in each region in real time, respectively marking the temperature factor, the power factor and the electromagnetic factor corresponding to the environmental interference combination information as Ubp, Vbp and Abp, wherein b is 1.. v, p is 1.. c, the Ubp, the Vbp and the Abp are in one-to-one correspondence, the variable b is corresponding to each region in the deep fine discrimination signal, the variable p is corresponding to each computer in the region in the deep fine discrimination signal, and the variables v and c represent positive integers more than 1;

step two: first according to the formula

b 1.. v, p 1.. c, obtaining real-time environment combination interference carrying magnitude Dbp of each computer in each region, wherein u, v and a are environment interference correction factors, u is greater than a and v, and u + v + a is 4.3181, and then according to a formula

V, and

obtaining real-time environment combined interference carrier magnitude mean values Fb of all computers in all the areas and obtaining real-time environment combined interference carrier magnitude mean values G of all the computers in all the areas;

step three: when the real-time environment combined interference carrier magnitude Dbp of each computer in each region is greater than or equal to the real-time environment combined interference carrier magnitude mean value Fb of all computers in each region and is also greater than or equal to the real-time environment combined interference carrier magnitude mean value G of all computers in all regions, generating a range signal by the Dbp; otherwise, generating a differential signal from the Dbp;

to obtain a range signal and a aberration signal;

step 3: according to the received high interference judging signal, editing a text that the regional interference condition is to be adjusted and the computer running condition is maintained, and sending the text to a display screen; according to the received low interference judging signal, editing a text of maintaining the regional interference condition and waiting for maintenance of the running condition of the computer, and sending the text to a display screen;

according to the received range difference signal, editing a text that 'the environment needs to be improved and the computer needs to maintain' and sending the text to a display screen through a color mark; according to the received gross error signal, the text of editing 'environment needs to be kept and computer needs to maintain' is sent to the display screen through the flashing mark.

The invention has the beneficial effects that:

the method comprises the steps of collecting work operation information of each computer in each region within a time interval, wherein the work operation information consists of operation temperature data, fan rotating speed data, operation current data, operation voltage data, CPU utilization rate and process data, and carrying out time interval carrying comprehensive analysis operation on the work operation information, namely carrying normal signals, deep detailed judgment signals and deep integral judgment signals are obtained by carrying the work operation information of each computer in each region within the time interval through mark redefinition, assignment weight processing and mean value discrete analysis and comparison;

and according to the received carrying normal signal, no feedback processing is carried out;

according to the received deep integral judgment signal, electromagnetic interference information of each area in real time corresponding to the deep integral judgment signal is obtained, the electromagnetic interference information represents the product of the environmental electromagnetic interference amount and the environmental dust concentration amount, and when the real-time electromagnetic interference information of each area in the deep integral judgment signal is greater than or equal to a rated threshold value and smaller than the rated threshold value, a high interference judgment signal and a low interference judgment signal are respectively generated in the area corresponding to the deep integral judgment signal;

according to the received deep detailed judgment signal, environment interference combination information of each computer in each region in real time corresponding to the deep detailed judgment signal is called, and the environment interference combination information consists of a temperature factor, a power factor and an electromagnetic factor; the temperature factor represents the product of the operating temperature data and the environmental wind speed data of each computer in each area, the power factor represents the environmental humidity data of each computer in each area, the product of the operating power data and the operating partial discharge data is divided, the electromagnetic factor represents the environmental electromagnetic interference of each computer in each area, the operating data transmission rate is divided, and the environmental factor distinguishing operation is carried out on the environmental factor, namely, the temperature factor, the power factor and the electromagnetic factor corresponding to the environmental interference combination information of each computer in each area in real time are marked by data definition, analyzed by a correction formula and compared by double-stage presetting, so as to obtain an extreme difference signal and a differential signal;

editing a text of 'regional interference condition to be adjusted and computer running condition maintenance' through the received high interference judgment signal and sending the text to a display screen; editing a text of maintaining the regional interference condition and waiting for maintenance of the running condition of the computer to be transmitted to the display screen through the received low-interference judgment signal;

editing 'environment needs to be improved and computer needs to maintain' texts by the received extreme difference signals, and sending the texts to a display screen by color marks; editing a text that 'the environment needs to be kept and the computer needs to maintain' through the received common difference signal, and sending the text to a display screen through a flashing mark;

namely, the time-interval working operation condition of each computer in each area is marked, redefined, processed by assigned weight and analyzed and compared by mean value discretization to obtain the comprehensive operation condition of all computers in each area, and each region with medium condition is associated with the electromagnetic interference condition of its real-time region, and the condition decision signal of region level is obtained by defined threshold value comparison, and linking each area of low condition with the environment combination condition of each computer of its real-time area, obtaining computer-level condition judgment signal through data definition marking, correction formula analysis and double-stage presetting comparison, and then, according to the time-interval integral operation analysis to real-time detailed interference elimination judgment processing, relevant text suggestion adjustment display is made according to the time-interval integral operation analysis to ensure the adjustment analysis accuracy and feedback pertinence of the computer operation.

Drawings

In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings;

FIG. 1 is a block diagram of the system of the present invention.

Detailed Description

As shown in fig. 1, an intelligent regulation system for computer operation comprises an operation acquisition module, a data analysis module, a controller, a signal processing module, a collection and verification module and a text interconnection module;

the operation acquisition module acquires the work operation information of each computer in each area, the work operation information consists of operation temperature data, fan rotating speed data, operation current data, operation voltage data, CPU utilization rate and process data, and the data can be acquired according to the modes of a sensor, a monitor and the like and transmitted to the data analysis module;

the data analysis module analyzes the time-interval carrying comprehensive condition according to the received work operation information of each computer in each area, and the specific steps are as follows:

the method comprises the following steps: acquiring the work operation information of each computer in each area in a first time period, defining the quotient of the average operation temperature data and the fan rotating speed variation data in the work operation information as a temperature ratio, and is calibrated to Qij, i is 1.. n, j is 1.. m, the product of the operation current variation data and the operation voltage variation data is defined as the flow pressure, and is designated Wij, i 1.. n, j 1.. m, wherein the quotient of the average CPU utilization and the average process number is defined as the process quantity, and is designated Eij, i 1.. n, j 1.. m, qij, Wij and Eij are in one-to-one correspondence with each other, the first time period represents the time length of one hour, the variable i corresponds to each region, the variable j corresponds to each computer, and the variables n and m both represent positive integers greater than 1;

step two: when the temperature ratio Qij of each computer in each region in the first time period is greater than the maximum value of the preset range q, is within the preset range q and is less than the minimum value of the preset range q, the temperature ratio Qij is respectively arranged in a first step, a second step and a third step, the first step, the second step and the third step respectively correspond to calibration positive values M1, M2 and M3, and M1 is greater than M2 and greater than M3; when the flow pressure Wij of each computer in each area in the first time period is greater than a preset value w and less than or equal to the preset value w, respectively placing the flow pressure Wij in a first quantity-equalizing section and a second quantity-equalizing section, wherein the first quantity-equalizing section and the second quantity-equalizing section respectively correspond to a calibration positive value N1 and a calibration positive value N2, and N1 is greater than N2; when the stroke quantity Eij of each computer in each region in the first time period is larger than the maximum value of the preset range e, is positioned in the preset range e and is smaller than the minimum value of the preset range e, the stroke quantity Eij is respectively placed in a first scalar level, a second scalar level and a third scalar level, the first scalar level, the second scalar level and the third scalar level respectively correspond to B1, B2 and B3, and B1 is larger than B2 and larger than B3;

step three: first according to the formula

N, j 1.. m, the carrying indexes Rij, α, β of each computer of each region in the first time period are obtained, the carrying indexes Rij, α, β and the carrying indexes are weight coefficients, α is larger than β, α + β + (5.3185), and the carrying indexes are calculated according to a formula

N and 1

N, obtaining a mean value Ti and a discrete value Yi of the carrying index of all computers of each region in the first time period;

step four: when the carrying index mean value Ti of all computers in each area in the first time period is smaller than a preset value t and the carrying index discrete value Yi of all computers in each area is smaller than a preset value y, all the computers in the area corresponding to Ti or Yi generate carrying normal signals; when the carrying index mean value Ti of all computers in each area in the first time period is larger than or equal to the preset value t and the carrying index discrete value Yi of all computers in each area is smaller than the preset value y, generating deep detailed distinguishing signals for the areas corresponding to Ti or Yi; under other conditions, the region corresponding to Ti or Yi generates a deep integral judgment signal;

so as to obtain a carrying normal signal, a deep layer detailed judging signal and a deep layer integral judging signal, and transmit the carrying normal signal, the deep layer detailed judging signal and the deep layer integral judging signal to a signal processing module through a controller;

after the signal processing module receives the carrying normal signal, no feedback processing is carried out;

after receiving the deep integral discrimination signal, the signal processing module calls real-time electromagnetic interference information of each corresponding area from the collection and verification module, wherein the electromagnetic interference information represents the product of the environmental electromagnetic interference amount and the environmental dust concentration amount, the data can be obtained in a sensor, a monitor and other modes, and when the real-time electromagnetic interference information of each area in the deep integral discrimination signal is greater than or equal to a rated threshold value and smaller than the rated threshold value, the signal processing module respectively generates a high interference discrimination signal and a low interference discrimination signal for the area corresponding to the deep integral discrimination signal and transmits the high interference discrimination signal and the low interference discrimination signal to the text interconnection module;

after receiving the deep detailed discrimination signal, the signal processing module calls real-time environmental interference combination information of each computer of each corresponding region from the collection and verification module, wherein the environmental interference combination information consists of a temperature factor, a power factor and an electromagnetic factor; the temperature factor represents the product of the operating temperature data and the environmental wind speed data of each computer in each area, divided by the environmental temperature data, the power factor represents the environmental humidity data of each computer in each area, divided by the product of the operating power data and the operating partial discharge data, the electromagnetic factor represents the environmental electromagnetic interference amount of each computer in each area, divided by the operating data transmission rate, all the data can be obtained according to the modes of a sensor, a monitor and the like, and the environmental factor distinguishing operation is carried out on the data, and the method specifically comprises the following steps:

the method comprises the following steps: acquiring environmental interference combination information of each computer in each region in real time, respectively marking the temperature factor, the power factor and the electromagnetic factor corresponding to the environmental interference combination information as Ubp, Vbp and Abp, wherein b is 1.. v, p is 1.. c, the Ubp, the Vbp and the Abp are in one-to-one correspondence, the variable b is corresponding to each region in the deep fine discrimination signal, the variable p is corresponding to each computer in the region in the deep fine discrimination signal, and the variables v and c represent positive integers more than 1;

step two: first according to the formula

b 1.. v, p 1.. c, obtaining real-time environment combination interference carrying magnitude Dbp of each computer in each region, wherein u, v and a are environment interference correction factors, u is greater than a and v, and u + v + a is 4.3181, and then according to a formula

V, and

obtaining real-time environment combined interference carrier magnitude mean values Fb of all computers in all the areas and obtaining real-time environment combined interference carrier magnitude mean values G of all the computers in all the areas;

step three: when the real-time environment combined interference carrier magnitude Dbp of each computer in each region is greater than or equal to the real-time environment combined interference carrier magnitude mean value Fb of all computers in each region and is also greater than or equal to the real-time environment combined interference carrier magnitude mean value G of all computers in all regions, generating a range signal by the Dbp; otherwise, generating a differential signal from the Dbp;

obtaining a very different quantity signal and a differential quantity signal and transmitting the very different quantity signal and the differential quantity signal to the text interconnection module;

the collection and verification module collects the electromagnetic interference information of each area in real time, collects the environmental interference of each computer of each area in combination with the information in real time and stores the information in an internal folder;

after receiving the high interference judgment signal, the text interconnection module edits a text of 'regional interference condition to be adjusted and computer running condition maintenance' and sends the text to a display screen; after receiving the low interference judgment signal, the text interconnection module edits a text of maintaining the regional interference condition and waiting for maintenance of the computer running condition and sends the text to a display screen;

after the text interconnection module receives the extreme difference signal, editing a text which needs to be improved in environment and managed by a computer and sending the text to a display screen through a color mark; after the text interconnection module receives the differential quantity signal, the text of 'environment needs to be kept and computer needs to be managed' is edited and sent to the display screen through the flashing mark.

An intelligent regulation method for computer operation comprises the following steps:

step 1: the method comprises the following steps of collecting the work operation information of each computer in each area, wherein the work operation information consists of operation temperature data, fan rotating speed data, operation current data, operation voltage data, CPU utilization rate and process data, the data can be obtained according to the modes of a sensor, a monitor and the like, and time-interval carrying comprehensive condition analysis operation is carried out on the data, and the method comprises the following specific steps:

the method comprises the following steps: acquiring the work operation information of each computer in each area in a first time period, defining the quotient of the average operation temperature data and the fan rotating speed variation data in the work operation information as a temperature ratio, and is calibrated to Qij, i is 1.. n, j is 1.. m, the product of the operation current variation data and the operation voltage variation data is defined as the flow pressure, and is designated Wij, i 1.. n, j 1.. m, wherein the quotient of the average CPU utilization and the average process number is defined as the process quantity, and is designated Eij, i 1.. n, j 1.. m, qij, Wij and Eij are in one-to-one correspondence with each other, the first time period represents the time length of one hour, the variable i corresponds to each region, the variable j corresponds to each computer, and the variables n and m both represent positive integers greater than 1;

step two: when the temperature ratio Qij of each computer in each region in the first time period is greater than the maximum value of the preset range q, is within the preset range q and is less than the minimum value of the preset range q, the temperature ratio Qij is respectively arranged in a first step, a second step and a third step, the first step, the second step and the third step respectively correspond to calibration positive values M1, M2 and M3, and M1 is greater than M2 and greater than M3; when the flow pressure Wij of each computer in each area in the first time period is greater than a preset value w and less than or equal to the preset value w, respectively placing the flow pressure Wij in a first quantity-equalizing section and a second quantity-equalizing section, wherein the first quantity-equalizing section and the second quantity-equalizing section respectively correspond to a calibration positive value N1 and a calibration positive value N2, and N1 is greater than N2; when the stroke quantity Eij of each computer in each region in the first time period is larger than the maximum value of the preset range e, is positioned in the preset range e and is smaller than the minimum value of the preset range e, the stroke quantity Eij is respectively placed in a first scalar level, a second scalar level and a third scalar level, the first scalar level, the second scalar level and the third scalar level respectively correspond to B1, B2 and B3, and B1 is larger than B2 and larger than B3;

step three: first according to the formula

N, j 1.. m, the carrying indexes Rij, α, β of each computer of each region in the first time period are obtained, the carrying indexes Rij, α, β and the carrying indexes are weight coefficients, α is larger than β, α + β + (5.3185), and the carrying indexes are calculated according to a formula

N and 1

N, obtaining a mean value Ti and a discrete value Yi of the carrying index of all computers of each region in the first time period;

step four: when the carrying index mean value Ti of all computers in each area in the first time period is smaller than a preset value t and the carrying index discrete value Yi of all computers in each area is smaller than a preset value y, all the computers in the area corresponding to Ti or Yi generate carrying normal signals; when the carrying index mean value Ti of all computers in each area in the first time period is larger than or equal to the preset value t and the carrying index discrete value Yi of all computers in each area is smaller than the preset value y, generating deep detailed distinguishing signals for the areas corresponding to Ti or Yi; under other conditions, the region corresponding to Ti or Yi generates a deep integral judgment signal;

to obtain a carrying normal signal, a deep detailed discrimination signal and a deep integral discrimination signal;

step 2: according to the received carrying normal signal, no feedback processing is carried out;

according to the received deep layer integral judgment signal, real-time electromagnetic interference information of each corresponding area is called, the electromagnetic interference information represents the product of the environmental electromagnetic interference amount and the environmental dust concentration amount, all the data can be obtained in a sensor, a monitor and the like, and when the real-time electromagnetic interference information of each area in the deep layer integral judgment signal is larger than or equal to a rated threshold value and smaller than the rated threshold value, a high interference judgment signal and a low interference judgment signal are respectively generated in the area corresponding to the deep layer integral judgment signal;

according to the received deep detailed judgment signal, real-time environment interference combination information of each computer in each corresponding area is called, and the environment interference combination information consists of temperature factors, power factors and electromagnetic factors; the temperature factor represents the product of the operating temperature data and the environmental wind speed data of each computer in each area, divided by the environmental temperature data, the power factor represents the environmental humidity data of each computer in each area, divided by the product of the operating power data and the operating partial discharge data, the electromagnetic factor represents the environmental electromagnetic interference amount of each computer in each area, divided by the operating data transmission rate, all the data can be obtained according to the modes of a sensor, a monitor and the like, and the environmental factor distinguishing operation is carried out on the data, and the method specifically comprises the following steps:

the method comprises the following steps: acquiring environmental interference combination information of each computer in each region in real time, respectively marking the temperature factor, the power factor and the electromagnetic factor corresponding to the environmental interference combination information as Ubp, Vbp and Abp, wherein b is 1.. v, p is 1.. c, the Ubp, the Vbp and the Abp are in one-to-one correspondence, the variable b is corresponding to each region in the deep fine discrimination signal, the variable p is corresponding to each computer in the region in the deep fine discrimination signal, and the variables v and c represent positive integers more than 1;

step two: first according to the formula

V, p1, c, resulting in real-time calculations for each regionCombining the environment of the machine with an interference carrying magnitude Dbp, wherein u, v and a are all environment interference correction factors, u is greater than a and greater than v, and u + v + a is 4.3181, and then according to a formula

V, and

obtaining real-time environment combined interference carrier magnitude mean values Fb of all computers in all the areas and obtaining real-time environment combined interference carrier magnitude mean values G of all the computers in all the areas;

step three: when the real-time environment combined interference carrier magnitude Dbp of each computer in each region is greater than or equal to the real-time environment combined interference carrier magnitude mean value Fb of all computers in each region and is also greater than or equal to the real-time environment combined interference carrier magnitude mean value G of all computers in all regions, generating a range signal by the Dbp; otherwise, generating a differential signal from the Dbp;

to obtain a range signal and a aberration signal;

step 3: according to the received high interference judging signal, editing a text that the regional interference condition is to be adjusted and the computer running condition is maintained, and sending the text to a display screen; according to the received low interference judging signal, editing a text of maintaining the regional interference condition and waiting for maintenance of the running condition of the computer, and sending the text to a display screen;

according to the received range difference signal, editing a text that 'the environment needs to be improved and the computer needs to maintain' and sending the text to a display screen through a color mark; according to the received gross error signal, the text of editing 'environment needs to be kept and computer needs to maintain' is sent to the display screen through the flashing mark.

The invention obtains the comprehensive operation conditions of all computers in each area by redefining the time-interval working operation condition of each computer in each area through marking, processing the assigned weight and carrying out the discretization analysis and comparison of the mean value, and each region with medium condition is associated with the electromagnetic interference condition of its real-time region, and the condition decision signal of region level is obtained by defined threshold value comparison, and linking each area of low condition with the environment combination condition of each computer of its real-time area, obtaining computer-level condition judgment signal through data definition marking, correction formula analysis and double-stage presetting comparison, and then, according to the time-interval integral operation analysis to real-time detailed interference elimination judgment processing, relevant text suggestion adjustment display is made according to the time-interval integral operation analysis to ensure the adjustment analysis accuracy and feedback pertinence of the computer operation.

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 (4)

1. An intelligent adjusting system for computer operation is characterized by comprising an operation acquisition module, a data analysis module, a controller, a signal processing module, a collection verification module and a text interconnection module;

the operation acquisition module is used for acquiring the work operation information of each computer in each area and transmitting the work operation information to the data analysis module;

the data analysis module carries out time-interval carrying comprehensive condition analysis operation on each computer according to the received work operation information of each computer in each area to obtain a carrying normal signal, a deep layer detailed judgment signal and a deep layer integral judgment signal, and transmits the carrying normal signal, the deep layer detailed judgment signal and the deep layer integral judgment signal to the signal processing module through the controller;

after the signal processing module receives the carrying normal signal, no feedback processing is carried out;

after the signal processing module receives the deep integral judgment signal, the real-time electromagnetic interference information of each corresponding area is called from the collection verification module, the electromagnetic interference information represents the product of the environmental electromagnetic interference amount and the environmental dust concentration amount, and when the real-time electromagnetic interference information of each area in the deep integral judgment signal is greater than or equal to a rated threshold value and smaller than the rated threshold value, a high-interference judgment signal and a low-interference judgment signal are respectively generated in each corresponding area and are transmitted to the text interconnection module;

after receiving the deep detailed judgment signal, the signal processing module calls real-time environmental interference combination information of each computer in each corresponding area from the collection and verification module to perform environmental factor judgment operation on the signals so as to obtain an extreme difference signal and a differential quantity signal, and transmits the extreme difference signal and the differential quantity signal to the text interconnection module;

the collection and verification module is used for collecting electromagnetic interference information of each area and environment interference combination information of each computer of each area in real time and storing the information into an internal folder;

after receiving the high interference judgment signal, the text interconnection module edits a text of 'regional interference condition to be adjusted and computer running condition maintenance' and sends the text to a display screen; after receiving the low interference judgment signal, the text interconnection module edits a text of maintaining the regional interference condition and waiting for overhaul of the running condition of the computer and sends the text to a display screen;

after the text interconnection module receives the range difference signal, editing a text which needs to be improved in environment and managed by a computer and sending the text to a display screen through a color mark; after the text interconnection module receives the differential quantity signal, the text of 'environment needing to be kept and computer needing to be managed' is edited and sent to a display screen through a flashing mark.

2. The intelligent regulating system for computer operation according to claim 1, wherein the work operation information is composed of operation temperature data, fan rotation speed data, operation current data, operation voltage data, CPU usage rate and process data;

the specific steps of the time-interval carrying comprehensive condition analysis operation are as follows:

the method comprises the following steps: acquiring work operation information of each computer in each region in a first time period, defining a quotient of average operation temperature data and fan rotation speed variation data in the work operation information as a temperature ratio quantity, calibrating the quotient as Qij, i is 1.. n, j is 1.. m, defining a product of the operation current variation data and the operation voltage variation data in the work operation information as a flow pressure quantity, calibrating the quotient as Wij, i is 1.. n, j is 1.. m, defining a quotient of an average CPU utilization rate and an average process number in the work operation information as a process quantity, calibrating the quotient as Eij, i is 1.. n, j is 1.. m, and Qij, Wij and Eij are in one-to-one correspondence;

step two: when the temperature ratio Qij of each computer in each region in the first time period is greater than the maximum value of the preset range q, is within the preset range q and is less than the minimum value of the preset range q, the temperature ratio Qij is respectively arranged in a first step, a second step and a third step, the first step, the second step and the third step respectively correspond to calibration positive values M1, M2 and M3, and M1 is greater than M2 and greater than M3; when the flow pressure Wij of each computer in each area in the first time period is greater than a preset value w and less than or equal to the preset value w, respectively placing the flow pressure Wij in a first quantity-equalizing section and a second quantity-equalizing section, wherein the first quantity-equalizing section and the second quantity-equalizing section respectively correspond to a calibration positive value N1 and a calibration positive value N2, and N1 is greater than N2; when the stroke quantity Eij of each computer in each region in the first time period is larger than the maximum value of the preset range e, is positioned in the preset range e and is smaller than the minimum value of the preset range e, the stroke quantity Eij is respectively placed in a first scalar level, a second scalar level and a third scalar level, the first scalar level, the second scalar level and the third scalar level respectively correspond to B1, B2 and B3, and B1 is larger than B2 and larger than B3;

step three: first according to the formula

The carrying indexes Rij, α and β of each computer of each area in the first time period are obtained, the carrying indexes are weight coefficients, α is larger than β, α + β + (5.3185), and the carrying indexes are obtained according to the formula

And

obtaining the carrying index mean value Ti and the carrying index discrete value Yi of all computers in each area in a first time period;

step four: when the carrying index mean value Ti of all computers in each area in the first time period is smaller than a preset value t and the carrying index discrete value Yi of all computers in each area is smaller than a preset value y, all the computers in the area corresponding to Ti or Yi generate carrying normal signals; when the carrying index mean value Ti of all computers in each area in the first time period is larger than or equal to the preset value t and the carrying index discrete value Yi of all computers in each area is smaller than the preset value y, generating deep detailed distinguishing signals for the areas corresponding to Ti or Yi; in other cases, the deep layer integral judgment signal is generated in the area corresponding to Ti or Yi.

3. The computer-implemented intelligent regulation system of claim 1, wherein the environmental interference combination information is composed of a temperature factor, a power factor, and an electromagnetic factor; the temperature factor represents the product of the operating temperature data and the ambient wind speed data of each computer in each area, divided by the ambient temperature data, the power factor represents the ambient humidity data of each computer in each area, divided by the product of the operating power data and the operating partial discharge data, and the electromagnetic factor represents the ambient electromagnetic interference amount of each computer in each area, divided by the operating data transmission rate;

the environment factor distinguishing operation comprises the following specific steps:

the method comprises the following steps: acquiring environment interference combination information of each computer in each region in real time, and respectively marking the temperature factor, the power factor and the electromagnetic factor corresponding to the environment interference combination information as Ubp, Vbp and Abp, wherein b is 1.

Step two: first according to the formula

Obtaining real-time environment combination interference carrying magnitude Dbp of each computer in each region, wherein u, v and a are environment interference correction factors, u is larger than a and larger than v, and u + v + a is 4.3181, and then obtaining the real-time environment combination interference carrying magnitude Dbp of each computer in each region according to a formula

And

obtaining real-time environment combined interference carrier magnitude mean values Fb of all computers in all the areas and obtaining real-time environment combined interference carrier magnitude mean values G of all the computers in all the areas;

step three: when the real-time environment combined interference carrier magnitude Dbp of each computer in each region is greater than or equal to the real-time environment combined interference carrier magnitude mean value Fb of all computers in each region and is also greater than or equal to the real-time environment combined interference carrier magnitude mean value G of all computers in all regions, generating a range signal by the Dbp; in other cases, the Dbp is used to generate a differential signal.

4. An intelligent regulation method for computer operation is characterized by comprising the following steps:

step 1: the method comprises the following steps of collecting the work operation information of each computer in each area, wherein the work operation information consists of operation temperature data, fan rotating speed data, operation current data, operation voltage data, CPU utilization rate and process data, and carrying out time interval carrying comprehensive condition analysis operation on the work operation information, and the method comprises the following specific steps:

the method comprises the following steps: acquiring work operation information of each computer in each region in a first time period, defining a quotient of average operation temperature data and fan rotation speed variation data in the work operation information as a temperature ratio quantity, calibrating the quotient as Qij, i is 1.. n, j is 1.. m, defining a product of the operation current variation data and the operation voltage variation data in the work operation information as a flow pressure quantity, calibrating the quotient as Wij, i is 1.. n, j is 1.. m, defining a quotient of an average CPU utilization rate and an average process number in the work operation information as a process quantity, calibrating the quotient as Eij, i is 1.. n, j is 1.. m, and Qij, Wij and Eij are in one-to-one correspondence;

step two: when the temperature ratio Qij of each computer in each region in the first time period is greater than the maximum value of the preset range q, is within the preset range q and is less than the minimum value of the preset range q, the temperature ratio Qij is respectively arranged in a first step, a second step and a third step, the first step, the second step and the third step respectively correspond to calibration positive values M1, M2 and M3, and M1 is greater than M2 and greater than M3; when the flow pressure Wij of each computer in each area in the first time period is greater than a preset value w and less than or equal to the preset value w, respectively placing the flow pressure Wij in a first quantity-equalizing section and a second quantity-equalizing section, wherein the first quantity-equalizing section and the second quantity-equalizing section respectively correspond to a calibration positive value N1 and a calibration positive value N2, and N1 is greater than N2; when the stroke quantity Eij of each computer in each region in the first time period is larger than the maximum value of the preset range e, is positioned in the preset range e and is smaller than the minimum value of the preset range e, the stroke quantity Eij is respectively placed in a first scalar level, a second scalar level and a third scalar level, the first scalar level, the second scalar level and the third scalar level respectively correspond to B1, B2 and B3, and B1 is larger than B2 and larger than B3;

step three: first according to the formula

The carrying indexes Rij, α and β of each computer of each area in the first time period are obtained, the carrying indexes are weight coefficients, α is larger than β, α + β + (5.3185), and the carrying indexes are obtained according to the formula

And

obtaining a first time periodMean values of the carrying indices Ti and discrete values Yi of the carrying indices of all computers of each region within;

step four: when the carrying index mean value Ti of all computers in each area in the first time period is smaller than a preset value t and the carrying index discrete value Yi of all computers in each area is smaller than a preset value y, all the computers in the area corresponding to Ti or Yi generate carrying normal signals; when the carrying index mean value Ti of all computers in each area in the first time period is larger than or equal to the preset value t and the carrying index discrete value Yi of all computers in each area is smaller than the preset value y, generating deep detailed distinguishing signals for the areas corresponding to Ti or Yi; under other conditions, the region corresponding to Ti or Yi generates a deep integral judgment signal;

to obtain a carrying normal signal, a deep detailed discrimination signal and a deep integral discrimination signal;

step 2: according to the received carrying normal signal, no feedback processing is carried out;

according to the received deep integral judgment signal, real-time electromagnetic interference information of each corresponding area is acquired, the electromagnetic interference information represents the product of the environmental electromagnetic interference amount and the environmental dust concentration amount, and when the real-time electromagnetic interference information of each area in the deep integral judgment signal is greater than or equal to a rated threshold value and smaller than the rated threshold value, a high interference judgment signal and a low interference judgment signal are respectively generated in the corresponding area;

according to the received deep detailed judgment signal, real-time environment interference combination information of each computer in each corresponding area is called, and the environment interference combination information consists of temperature factors, power factors and electromagnetic factors; the temperature factor represents the product of the operating temperature data and the environmental wind speed data of each computer in each area, divided by the environmental temperature data, the power factor represents the environmental humidity data of each computer in each area, divided by the product of the operating power data and the operating partial discharge data, the electromagnetic factor represents the environmental electromagnetic interference amount of each computer in each area, divided by the operating data transmission rate, and the environmental factor judgment operation is carried out on the environmental factor data, and the method specifically comprises the following steps:

the method comprises the following steps: acquiring environment interference combination information of each computer in each region in real time, and respectively marking the temperature factor, the power factor and the electromagnetic factor corresponding to the environment interference combination information as Ubp, Vbp and Abp, wherein b is 1.

Step two: first according to the formula

Obtaining real-time environment combination interference carrying magnitude Dbp of each computer in each region, wherein u, v and a are environment interference correction factors, u is larger than a and larger than v, and u + v + a is 4.3181, and then obtaining the real-time environment combination interference carrying magnitude Dbp of each computer in each region according to a formula

And

obtaining real-time environment combined interference carrier magnitude mean values Fb of all computers in all the areas and obtaining real-time environment combined interference carrier magnitude mean values G of all the computers in all the areas;

step three: when the real-time environment combined interference carrier magnitude Dbp of each computer in each region is greater than or equal to the real-time environment combined interference carrier magnitude mean value Fb of all computers in each region and is also greater than or equal to the real-time environment combined interference carrier magnitude mean value G of all computers in all regions, generating a range signal by the Dbp; otherwise, generating a differential signal from the Dbp;

to obtain a range signal and a aberration signal;

step 3: according to the received high interference judging signal, editing a text that the regional interference condition is to be adjusted and the computer running condition is maintained, and sending the text to a display screen; according to the received low interference judging signal, editing a text of maintaining the regional interference condition and waiting for maintenance of the running condition of the computer, and sending the text to a display screen;

according to the received range difference signal, editing a text that 'the environment needs to be improved and the computer needs to maintain' and sending the text to a display screen through a color mark; according to the received gross error signal, the text of editing 'environment needs to be kept and computer needs to maintain' is sent to the display screen through the flashing mark.

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