CN117952599B - Intelligent machine room platform operation and maintenance management system based on cloud computing - Google Patents
Intelligent machine room platform operation and maintenance management system based on cloud computing Download PDFInfo
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Abstract
The invention relates to the technical field of operation and maintenance management, and discloses an intelligent machine room platform operation and maintenance management system based on cloud computing; the method comprises the steps of collecting comprehensive state data, generating an operation and maintenance state index, judging whether a selected host enters a management state, selecting a primary management mode or a secondary management mode, marking out data to be adjusted, formulating an adjustment priority in the primary management mode, adjusting the data to be adjusted one by one, formulating an adjustment unit value in the secondary management mode, and synchronously adjusting the data to be adjusted; compared with the prior art, the intelligent machine room management system has the advantages that the operation state data of the host computer can be accurately collected, the potential safety hazards existing in the host computer can be accurately judged, accordingly, countermeasures for adjusting and synchronously adjusting one by one are specifically formulated according to different emergency degrees of the potential safety hazards, the operation state of the intelligent machine room can be kept efficient, stable and safe, and further the operation and maintenance management efficiency of the intelligent machine room platform is greatly improved.
Description
Technical Field
The invention relates to the technical field of operation and maintenance management, in particular to an intelligent machine room platform operation and maintenance management system based on cloud computing.
Background
In large-scale factory enterprise, can use a large amount of intelligent manufacturing equipment, in order to carry out intelligent management to a large amount of intelligent manufacturing equipment, need carry out remote control to intelligent manufacturing equipment through the host computer, and the host computer is because its operational environment requirement is higher, need arrange in the computer lab to construct intelligent computer lab platform and manage the fortune dimension state of host computer, and then realize the fortune dimension management purpose of intelligent manufacturing equipment.
The China patent with the application publication number of CN110677293A discloses an alarm system based on a machine room operation and maintenance management platform, which can periodically receive environmental logs from a controlled equipment terminal; if the environmental log is not received, receiving environmental monitoring data from an environmental monitor matched with the controlled equipment terminal; generating alarm information according to the environmental log or the environmental monitoring data; when the alarm system does not receive the environmental log, acquiring environmental monitoring data through an environmental monitor, so as to judge whether technical abnormality exists or not, and improving the timeliness of the alarm;
The prior art has the following defects:
The existing machine room platform operation and maintenance management system realizes the identification and evaluation of the running state of the controlled equipment by collecting and analyzing the sensing data of the sensor equipment related to the controlled equipment, and carries out early warning treatment on the abnormal running state in a single mode, when the running state of the controlled equipment has slight changes, abnormal phenomena with different emergency degrees can occur in the running state of the controlled equipment, at the moment, a single operation and maintenance management measure cannot accurately match and cope with the abnormal phenomena, a targeted adjustment plan cannot be formulated for the abnormal running state of the controlled equipment, and further the operation and maintenance management efficiency is reduced.
In view of the above, the present invention provides an intelligent machine room platform operation and maintenance management system based on cloud computing to solve the above problems.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides the following technical scheme for achieving the purposes: an intelligent machine room platform operation and maintenance management system based on cloud computing is applied to a cloud server and comprises:
the data acquisition module is used for acquiring comprehensive state data under the running state of the selected host;
The state analysis module is used for generating an operation and maintenance state index based on the comprehensive state data, comparing the operation and maintenance state index with a preset operation and maintenance state threshold value, and judging whether the selected host enters a management state or not;
the system comprises a mode selection module, a control module and a control module, wherein the mode selection module is used for combining an operation and maintenance state index with a preset operation and maintenance state threshold value to generate an index difference value, and selecting a management mode based on the index difference value, wherein the management mode comprises a primary management mode and a secondary management mode;
The to-be-adjusted marking module is used for comparing the comprehensive state data with the corresponding safety value and marking the to-be-adjusted data based on the comparison result;
The first management execution module is used for making adjustment priorities under a first-level management mode, and adjusting data to be adjusted one by one according to the adjustment priorities until the selected host exits from the management state;
and the second management execution module is used for making an adjustment unit value under the secondary management mode, and synchronously adjusting the data to be adjusted according to the adjustment unit value until the selected host computer exits from the management state.
Further, the comprehensive state data comprises a power load change value, an operating temperature ramp rate, an idle space occupation rate and a response processing speed;
the method for acquiring the electricity load change value comprises the following steps:
Dividing the time T1 to the time T2 by taking a preset electricity utilization period as a standard Individual power utilization intervals, and marks/>Starting point and/>, of individual power utilization intervalEnd point of the electricity consumption interval;
respectively obtain through electric energy meter Power consumption load value and/>, corresponding to starting point of each power consumption sectionA power load value corresponding to the end point of each power section;
Will be Power utilization load value and/>, corresponding to end point of each power utilization sectionComparing the power consumption load value difference values corresponding to the starting points of the power consumption intervals to obtain/>Sub-load values;
The expression for the sub-load value is:
；
In the method, in the process of the invention, For/>Sub-load value,/>For/>Power load value corresponding to end point of each power utilization section,/>For/>A power utilization load value corresponding to the start point of each power utilization section;
Will be the first Sub-load value and/>Sub-load value difference comparison to obtain/>A load difference value;
The expression of the load difference is:
；
In the method, in the process of the invention, For/>Load difference,/>For/>Sub-load values;
Will be The load difference values are accumulated and averaged to obtain a power consumption load change value;
The expression of the electricity load variation value is:
；
In the method, in the process of the invention, For the change value of the electric load,/>For/>And load differences.
Further, the method for obtaining the operating temperature ramp rate comprises the following steps:
a1: the operation temperatures of the selected host at the time T3 and the time T4 are respectively monitored through temperature sensors and respectively recorded as an initial temperature and a final temperature;
A2: comparing the final temperature with the initial temperature difference value to obtain a temperature rise value;
a3: repeating Step of sub A1-A2, obtaining/>A plurality of temperature rise values;
The expression of the temperature rise value is:
；
In the method, in the process of the invention, For/>A temperature rise value,/>For/>Terminal temperature,/>For/>A respective onset temperature;
Will be The temperature rise values are arranged in descending order and are removed/>The first two and the last two of the temperature rise values will be the remainder/>After accumulating the temperature rise values, comparing the accumulated temperature rise values with the time length corresponding to the time T3 to the time T4 to obtain the operating temperature rise rate;
The expression of the operating temperature ramp rate is:
；
In the method, in the process of the invention, For the rate of rise of operating temperature,/>For/>A temperature rise value,/>The time length corresponds to the time length from the time T3 to the time T4.
Further, the method for acquiring the occupation ratio of the idle space comprises the following steps:
monitoring selected host total capacity and selected host in operation state by task manager Space occupation ratio of each running task to obtain/>A sub-occupation ratio;
Will be The sub-occupation ratio is accumulated to obtain a task occupation ratio;
The task ratio is expressed as:
；
In the method, in the process of the invention, For the task ratio,/>For/>A sub-occupation ratio;
Adding the task occupation ratio and the reserved safety capacity, and comparing with the total capacity difference of the selected host to obtain an idle space value;
The expression for the free space value is:
；
In the method, in the process of the invention, Is an idle space value,/>To select the total capacity of the host,/>Reserving a secure capacity for the mobile device;
comparing the idle space value with the total capacity of the selected host computer to obtain the idle space occupation ratio;
the expression of the free space occupation ratio is:
；
In the method, in the process of the invention, Is the space occupation ratio.
Further, the method for acquiring the response processing speed comprises the following steps:
B1: acquiring the data input quantity of the selected host at the time A and the data output quantity at the time B by a data processor, and respectively recording the data input quantity and the data output quantity;
b2: comparing the data input quantity with the data output quantity difference value, and comparing the data input quantity with the duration corresponding to the time A to the time B to obtain the sub-rate;
b3: repeating with the time length corresponding to the time interval A to the time B as the standard Secondary B1-B2 step, obtaining/>A sub-rate;
the expression for the subrate is:
；
In the method, in the process of the invention, For/>Sub-rate,/>For/>Data input quantity,/>For/>Data output,/>The time length corresponds to the time length from the time A to the time B;
B4: will be The sub-rates are numbered in turn, and adjacent two numbered sub-rates are taken as a rate group to select/>Individual rate groups, will/>The sub-rates in the individual rate groups are added one to obtain/>A target rate;
The expression for the target rate is:
；
In the method, in the process of the invention, For/>Target rate,/>For/>Sub-rate,/>For/>A sub-rate;
B5: will be Averaging after accumulating the target rates to obtain a response processing speed;
The expression of the response processing speed is:
；
In the method, in the process of the invention, In response to processing speed,/>For/>A target rate.
Further, the expression of the running state index is:
；
In the method, in the process of the invention, For the running state index,/>、/>、/>、/>Is a weight factor;
The method for judging whether the selected host enters the management state comprises the following steps:
running and maintaining state index And preset operation and maintenance state threshold value/>Comparing;
When (when) Greater than or equal to/>When the selected host computer enters the management state;
When (when) Less than/>And when the selected host computer is judged not to enter the management state.
Further, the expression of the index difference is:
；
In the method, in the process of the invention, Is the index difference;
The selection method of the primary management mode and the secondary management mode comprises the following steps: will be the index difference From a preset exponent difference threshold/>Comparing;
When (when) Less than/>Selecting a first-level management mode;
When (when) Greater than or equal to/>When the secondary management mode is selected.
Further, the marking method of the data to be adjusted comprises the following steps:
Change value of electric load to be used And maximum load safety value/>Comparing;
When (when) Greater than/>When the power load change value is marked as data to be adjusted;
rate of rise of operating temperature And maximum temperature safety value/>Comparing;
When (when) Greater than/>When the temperature rise rate is marked as data to be adjusted;
ratio of free space And minimum idle security value/>Comparing;
When (when) Less than/>When the idle space occupation ratio is marked as data to be adjusted;
Response processing speed And minimum speed safety value/>Comparing;
When (when) Less than/>And when the response processing speed is marked as data to be adjusted.
Further, the order of adjusting the priority from high to low is: operating temperature ramp rate, power load change value, idle space occupation rate, response processing speed;
The method for adjusting the data to be adjusted one by one comprises the following steps:
firstly, reducing the operating temperature rising rate until the selected host computer exits from the management state;
when the operating temperature rising rate is reduced to the maximum temperature safety value and the selected host is still in the management state, reducing the power load change value until the selected host exits the management state;
when the operating temperature rising rate is reduced to a maximum temperature safety value, the electricity load change value is reduced to a maximum load safety value, and the selected host is still in a management state, then the idle space occupation rate is increased until the selected host exits the management state;
when the operating temperature rising rate is reduced to a maximum temperature safety value, the electricity load change value is reduced to a maximum load safety value, the idle space occupation ratio is increased to a minimum idle safety value, and the selected host is still in a management state, the response processing speed is increased finally until the selected host exits the management state.
Further, the method for formulating the adjustment unit value includes:
Change value of electric load to be used And maximum load safety value/>Comparing the difference values to obtain a first adjustment value;
The expression of the first adjustment value is:
；
In the method, in the process of the invention, Is the first adjustment value;
rate of rise of operating temperature And maximum temperature safety value/>Comparing the difference values to obtain a second adjustment value;
The expression of the second adjustment value is:
；
In the method, in the process of the invention, Is a second adjustment value;
ratio of free space And minimum idle security value/>Comparing the difference values to obtain a third adjustment value;
The expression of the third adjustment value is:
；
In the method, in the process of the invention, Is a third adjustment value;
Response processing speed And minimum speed safety value/>Comparing the difference values to obtain a fourth adjustment value;
the expression of the fourth adjustment value is:
；
In the method, in the process of the invention, Is a fourth adjustment value;
Accumulating the first adjustment value, the second adjustment value, the third adjustment value and the fourth adjustment value, and then averaging to obtain an adjustment unit value;
the expression for adjusting the unit value is:
；
In the method, in the process of the invention, For adjusting the unit value;
The method for synchronously adjusting the data to be adjusted comprises the following steps:
C1: taking the adjustment unit value as a standard, synchronously reducing the operation temperature rising rate and the electricity load change value by one adjustment unit value, increasing the idle space occupation rate and the response processing speed by one adjustment unit value;
C2: and when the selected host is still in the management state after the operating temperature rising rate and the power load change value are reduced by one adjustment unit value, the idle space occupation rate and the response processing speed are increased by one adjustment unit value, repeating the step C1 until the selected host exits from the management state.
The intelligent machine room platform operation and maintenance management system based on cloud computing has the technical effects and advantages that:
The method comprises the steps of collecting comprehensive state data of a selected host in an operation state, generating an operation and maintenance state index based on the comprehensive state data, comparing the operation and maintenance state index with a preset operation and maintenance state threshold value, judging whether the selected host enters a management state, combining the operation and maintenance state index with the preset operation and maintenance state threshold value, generating an index difference value, selecting a management mode based on the index difference value, wherein the management mode comprises a primary management mode and a secondary management mode, respectively comparing the comprehensive state data with a safety value, marking data to be adjusted based on a comparison result, formulating an adjustment priority in the primary management mode, adjusting the data to be adjusted one by one according to the adjustment priority until the selected host exits the management state, formulating an adjustment unit value in the secondary management mode, and synchronously adjusting the data to be adjusted according to the adjustment unit value until the selected host exits the management state; compared with the prior art, the intelligent machine room management system has the advantages that the operation state data of the host computer can be accurately collected, the potential safety hazards existing in the host computer can be accurately judged, accordingly, countermeasures for adjusting and synchronously adjusting one by one are specifically formulated according to different emergency degrees of the potential safety hazards, the operation state of the intelligent machine room can be kept efficient, stable and safe, and further the operation and maintenance management efficiency of the intelligent machine room platform is greatly improved.
Drawings
Fig. 1 is a schematic diagram of an operation and maintenance management system for a smart machine room platform based on cloud computing according to embodiment 1 of the present invention;
Fig. 2 is a flow chart of an operation and maintenance management method for a smart machine room platform based on cloud computing according to embodiment 2 of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1: referring to fig. 1, an operation and maintenance management system for a smart machine room platform based on cloud computing, which is applied to a cloud server, includes:
The data acquisition module acquires comprehensive state data under the running state of the selected host;
When the operation and maintenance states of the hosts are managed, the related data of the detected host needs to be collected, and the detected host is called a selected host at the moment;
The comprehensive state data comprise a power load change value, an operating temperature ramp rate, an idle space occupation rate and a response processing speed;
The power consumption load change value refers to the power consumption change condition of the selected host in a specific time period, and when the power consumption load change value is larger, the power consumption change amplitude of the selected host is larger, the fluctuation amplitude of the running state of the selected host is larger, and the probability of faults is higher;
the method for acquiring the electricity load change value comprises the following steps:
Dividing the time T1 to the time T2 by taking a preset electricity utilization period as a standard Individual power utilization intervals, and marks/>Starting point and/>, of individual power utilization intervalEnd point of the electricity consumption interval; the preset electricity utilization period is the span time of collecting the electricity utilization load data of the selected host, so that the electric energy meter can effectively and sufficiently collect the electricity utilization load data of the selected host, and the specific time length of the preset electricity utilization period is obtained through coefficient optimization after monitoring the minimum time length corresponding to the electricity utilization load data of the selected host through the collection history of a large number of electric energy meters; the method for dividing the preset power utilization period at intervals can divide a longer time span into a plurality of ranges with shorter time spans, so that the accuracy of power utilization load data acquisition can be improved, the phenomenon of power utilization load data adhesion in adjacent power utilization intervals can be avoided, and the independence of the power utilization load data is further improved;
respectively obtain through electric energy meter Power consumption load value and/>, corresponding to starting point of each power consumption sectionA power load value corresponding to the end point of each power section;
Will be Power utilization load value and/>, corresponding to end point of each power utilization sectionComparing the power consumption load value difference values corresponding to the starting points of the power consumption intervals to obtain/>Sub-load values;
The expression for the sub-load value is:
；
In the method, in the process of the invention, For/>Sub-load value,/>For/>Power load value corresponding to end point of each power utilization section,/>For/>A power utilization load value corresponding to the start point of each power utilization section;
Will be the first Sub-load value and/>Sub-load value difference comparison to obtain/>A load difference value;
The expression of the load difference is:
；
In the method, in the process of the invention, For/>Load difference,/>For/>Sub-load values;
Will be The load difference values are accumulated and averaged to obtain a power consumption load change value;
The expression of the electricity load variation value is:
；
In the method, in the process of the invention, For the change value of the electric load,/>For/>A load difference value;
The operating temperature rising rate is the rising rate of the hardware operating temperature of the selected host in unit time, and when the operating temperature rising rate is larger, the larger the rising amplitude of the hardware temperature of the selected host is, the larger the fluctuation amplitude of the operating state of the selected host is, and the higher the probability of faults is;
the method for acquiring the operating temperature ramp rate comprises the following steps:
a1: the operation temperatures of the selected host at the time T3 and the time T4 are respectively monitored through temperature sensors and respectively recorded as an initial temperature and a final temperature; the time T4 is the next time of the time T3;
A2: comparing the final temperature with the initial temperature difference value to obtain a temperature rise value;
a3: repeating Step of sub A1-A2, obtaining/>A plurality of temperature rise values;
The expression of the temperature rise value is:
；
In the method, in the process of the invention, For/>A temperature rise value,/>For/>Terminal temperature,/>For/>A respective onset temperature;
Will be The temperature rise values are arranged in descending order and are removed/>The first two and the last two of the temperature rise values will be the remainder/>After accumulating the temperature rise values, comparing the accumulated temperature rise values with the time length corresponding to the time T3 to the time T4 to obtain the operating temperature rise rate; the first two bits and the second two bits of the temperature rise value are removed, so that the numerical values with smaller temperature change amplitude and larger temperature change amplitude can be removed, the data calculation amount is reduced, the calculation efficiency is improved, and the data sensitivity of operation and maintenance management is improved;
The expression of the operating temperature ramp rate is:
；
In the method, in the process of the invention, For the rate of rise of operating temperature,/>For/>A temperature rise value,/>The time length corresponds to the time length from the time T3 to the time T4;
the idle space occupation ratio refers to the occupation ratio of the idle and unoperated space capacity and the total capacity of the CPU in the running state of the selected host, and when the idle space occupation ratio is larger, the larger the space capacity in the selected host for processing emergency data is, the lower the probability of overload running state of the selected host is, and the lower the probability of faults is;
the method for acquiring the occupation ratio of the idle space comprises the following steps:
monitoring selected host total capacity and selected host in operation state by task manager Space occupation ratio of each running task to obtain/>A sub-occupation ratio;
Will be The sub-occupation ratio is accumulated to obtain a task occupation ratio;
The task ratio is expressed as:
；
In the method, in the process of the invention, For the task ratio,/>For/>A sub-occupation ratio;
Adding the task occupation ratio and the reserved safety capacity, and comparing with the total capacity difference of the selected host to obtain an idle space value; the reserved safe capacity is the minimum capacity value which needs to be reserved in the CPU capacity space on the basis of keeping the rated operation efficiency of the CPU of the selected host, and when the idle capacity of the CPU of the selected host is lower than the reserved safe capacity, the selected host is easy to generate overload operation phenomenon during operation, so that operation failure phenomenon is easy to occur; the reserved safety capacity is obtained through coefficient optimization after a large number of selected host CPUs (central processing units) of the acquired history maintain the maximum reserved capacity space corresponding to the rated operation efficiency;
The expression for the free space value is:
；
In the method, in the process of the invention, Is an idle space value,/>To select the total capacity of the host,/>Reserving a secure capacity for the mobile device;
comparing the idle space value with the total capacity of the selected host computer to obtain the idle space occupation ratio;
the expression of the free space occupation ratio is:
；
In the method, in the process of the invention, Is the space occupation ratio of the idle space;
The response processing speed refers to the quantity of data which can be processed by the selected host in unit time, and when the response processing speed is higher, the higher the data quantity which can be processed by the selected host in unit time is, the higher the stability of the running state of the selected host is, and the lower the probability of faults is;
the response processing speed obtaining method comprises the following steps:
B1: acquiring the data input quantity of the selected host at the time A and the data output quantity at the time B by a data processor, and respectively recording the data input quantity and the data output quantity; the time B is the time before the time A;
b2: comparing the data input quantity with the data output quantity difference value, and comparing the data input quantity with the duration corresponding to the time A to the time B to obtain the sub-rate;
b3: repeating with the time length corresponding to the time interval A to the time B as the standard Secondary B1-B2 step, obtaining/>A sub-rate; the two data acquisition time periods can be separated by the time length corresponding to the time from the time A to the time B, so that the two data acquisition time periods are discontinuous, and the situation that the change amplitude of the sub-rate data is overlarge due to the phenomenon of short-time high-speed processing or low-speed processing of a selected host in a certain time period is avoided;
the expression for the subrate is:
；
In the method, in the process of the invention, For/>Sub-rate,/>For/>Data input quantity,/>For/>Data output,/>The time length corresponds to the time length from the time A to the time B;
B4: will be The sub-rates are numbered in turn, and adjacent two numbered sub-rates are taken as a rate group to select/>Rate group,/>Less than/>Will/>The sub-rates in the individual rate groups are added one to obtain/>A target rate; the adjacent sub-rates at the adjacent positions can be bundled by adopting the mode that the adjacent two numbered sub-rates are a rate group, and a large number of sub-rates are subjected to grouping calculation, so that the calculation amount of data is reduced, and meanwhile, the data calculation efficiency is also improved;
The expression for the target rate is: ；
In the method, in the process of the invention, For/>Target rate,/>For/>Sub-rate,/>For/>A sub-rate;
B5: will be Averaging after accumulating the target rates to obtain a response processing speed;
The expression of the response processing speed is:
；
In the method, in the process of the invention, In response to processing speed,/>For/>A target rate;
The state analysis module is used for generating an operation and maintenance state index based on the comprehensive state data, comparing the operation and maintenance state index with a preset operation and maintenance state threshold value, and judging whether the selected host enters a management state or not;
The operation and maintenance state index is a numerical representation of the occurrence probability of the fault of the selected host in the current operation state of the selected host and is used for intuitively and numerically representing the operation state of the selected host, so that the operation state of the selected host can be accurately known, and further subsequent operation and maintenance management measures can be made;
The expression of the running state index is:
；
In the method, in the process of the invention, For the running state index,/>、/>、/>、/>Is a weight factor;
Wherein, Exemplary,/>Is 0.28,/>Is 0.30/>Is 0.20,/>0.22;
In addition, it should be noted that the size of the weight factor is a specific numerical value obtained by quantizing each data, so that the subsequent comparison is convenient, and the size of the weight factor depends on the amount of the comprehensive state data and the number of the comprehensive state data and the corresponding weight factor is preliminarily set for each group of the comprehensive state data by a person skilled in the art;
The method for judging whether the selected host enters the management state comprises the following steps:
running and maintaining state index And preset operation and maintenance state threshold value/>Comparison,/>Greater than 0; the preset operation and maintenance state threshold is a numerical value basis for distinguishing the size of the operation and maintenance state indexes, and the operation and maintenance state indexes can be distinguished in a large range and a small range, so that the distinguishing effect of different safety levels is realized, and the operation and maintenance state threshold is used as a judging basis for judging whether a selected host enters a management state or not; the preset operation and maintenance state threshold is obtained through coefficient optimization after a large number of operation and maintenance state indexes corresponding to the management state entering and not entering of the history are collected;
When (when) Greater than or equal to/>When the operation state index of the selected host is larger than or equal to a preset operation state threshold, and the probability of failure of the operation state of the selected host is high, the selected host is judged to enter a management state;
When (when) Less than/>When the operation state index of the selected host is smaller than a preset operation state threshold, the probability of failure of the operation state of the selected host is low, and the selected host is judged not to enter the management state;
The mode selection module is used for generating an index difference value by combining the operation and maintenance state index and a preset operation and maintenance state threshold value, and selecting a management mode based on the index difference value, wherein the management mode comprises a primary management mode and a secondary management mode;
The index difference value refers to the difference between the operation and maintenance state index and a preset operation and maintenance state threshold value, and is used for carrying out numerical representation on the difference between the operation and maintenance state index and the preset operation and maintenance state threshold value, and when the index difference value is larger, the difference between the operation and maintenance state index and the preset operation and maintenance state threshold value is larger;
the expression of the index difference is:
；
In the method, in the process of the invention, Is the index difference;
The management mode refers to different operation modes of the selected host in a management adjustment state when the probability of failure of the selected host is high, so that the selected host is subjected to targeted adjustment processing, adjustment processing effects of different index difference values are realized, and different management modes correspond to different adjustment urgency;
the management mode comprises a primary management mode and a secondary management mode, and the adjustment emergency degree of the primary management mode is lower than that of the secondary management mode;
the selection method of the primary management mode and the secondary management mode comprises the following steps:
will be the index difference From a preset exponent difference threshold/>Comparison,/>Greater than 0; the preset index difference threshold is a numerical value basis for distinguishing the different emergency degrees of the index difference values, so that the emergency degrees corresponding to the index difference values are distinguished, and a basis is provided for the adjustment measures of different subsequent management modes; the preset index difference threshold value is obtained through coefficient optimization after a large number of index difference values corresponding to low emergency degree and high emergency degree of the history are collected;
When (when) Less than/>When the index difference value is smaller than a preset index difference threshold value, the adjustment urgency of the selected host is low, and a primary management mode is selected;
When (when) Greater than or equal to/>When the index difference value is larger than or equal to a preset index difference threshold value, the adjustment urgency of the selected host is high, and a secondary management mode is selected;
the to-be-adjusted marking module is used for comparing the comprehensive state data with the corresponding safety value and marking the to-be-adjusted data based on the comparison result;
the data to be adjusted is data which exceeds the corresponding maximum safety value or is lower than the corresponding minimum safety value in the power load change value, the operating temperature rising rate, the idle space occupation rate and the response processing speed, and is used as a data base for the subsequent adjustment processing;
The marking method of the data to be adjusted comprises the following steps:
Change value of electric load to be used And maximum load safety value/>Comparing; the maximum load safety value is the maximum value which can be reached by the power consumption load change value on the basis of ensuring that the selected host does not enter the management state, so that the range of the power consumption load change value is limited;
When (when) Greater than/>When the power consumption load change value exceeds the maximum load safety value, the power consumption load change value is marked as data to be adjusted;
rate of rise of operating temperature And maximum temperature safety value/>Comparing; the maximum temperature safety value is the maximum value which can be reached by the operating temperature rising rate on the basis of ensuring that the selected host does not enter the management state, so that the range of the operating temperature rising rate is limited;
When (when) Greater than/>When the operating temperature rising rate exceeds the maximum temperature safety value, the operating temperature rising rate is marked as data to be adjusted;
ratio of free space And minimum idle security value/>Comparing; the minimum idle safety value is the minimum value which can be reached by the idle space occupation ratio on the basis of ensuring that the selected host does not enter the management state, so that the range of the idle space occupation ratio is limited;
When (when) Less than/>When the idle space occupation ratio is lower than the minimum idle safety value, marking the idle space occupation ratio as data to be adjusted;
Response processing speed And minimum speed safety value/>Comparing; the minimum speed safety value is a minimum value which can be reached by the response processing speed on the basis of ensuring that the selected host does not enter the management state, so that the range of the response processing speed is limited;
When (when) Less than/>When the response processing speed is lower than the minimum speed safety value, marking the response processing speed as data to be adjusted;
The first management execution module establishes adjustment priorities under a first-level management mode, and adjusts data to be adjusted one by one according to the adjustment priorities until the selected host exits from the management state;
The adjustment priority is a sequence for performing adjustment operation on the data to be adjusted, and when the quantity of the data to be adjusted is not the same, the adjustment sequence of the data to be adjusted is required to be arranged, so that the sequence is required to be arranged by means of the adjustment priority;
The increase of the power consumption load change value and the operating temperature rising rate can lead to the increase of the operation and maintenance state index, so that the probability of the failure of the selected host is increased, the power consumption load change value and the operating temperature rising rate are taken as negative data, the increase of the idle space occupation rate and the response processing speed can lead to the decrease of the operation and maintenance state index, so that the probability of the failure of the selected host is lowered, the idle space occupation rate and the response processing speed are taken as positive data, and at the moment, the adjustment priority of the power consumption load change value and the operating temperature rising rate is higher than the adjustment priority of the idle space occupation rate and the response processing speed; meanwhile, the operation temperature rising rate can be reduced by improving the heat dissipation power, and the operation is convenient, so that the adjustment priority of the operation temperature rising rate is higher than the adjustment priority of the power consumption load change value; the idle space occupation ratio can be realized by cleaning unnecessary running tasks, so that the adjustment priority of the idle space occupation ratio is higher than the adjustment priority of the response processing speed;
In summary, the order of adjusting the priority from high to low is: operating temperature ramp rate, power load change value, idle space occupation rate, response processing speed;
The method for adjusting the data to be adjusted one by one comprises the following steps:
firstly, reducing the operating temperature rising rate until the selected host computer exits from the management state;
when the operating temperature rising rate is reduced to the maximum temperature safety value and the selected host is still in the management state, reducing the power load change value until the selected host exits the management state;
when the operating temperature rising rate is reduced to a maximum temperature safety value, the electricity load change value is reduced to a maximum load safety value, and the selected host is still in a management state, then the idle space occupation rate is increased until the selected host exits the management state;
When the operating temperature rising rate is reduced to a maximum temperature safety value, the electricity load change value is reduced to a maximum load safety value, the idle space occupation ratio is increased to a minimum idle safety value, and the selected host is still in a management state, the response processing speed is increased finally until the selected host exits the management state;
The second management execution module establishes an adjustment unit value in a secondary management mode, and synchronously adjusts data to be adjusted according to the adjustment unit value until the selected host exits from the management state;
the adjustment unit value is a numerical value for synchronously adjusting the data to be adjusted, so that adjustment operation with the same size is carried out on the data to be adjusted, and the data to be adjusted can keep the same adjustment amplitude for synchronous adjustment;
the method for formulating the adjustment unit value comprises the following steps:
Change value of electric load to be used And maximum load safety value/>Comparing the difference values to obtain a first adjustment value;
The expression of the first adjustment value is:
；
In the method, in the process of the invention, Is the first adjustment value;
rate of rise of operating temperature And maximum temperature safety value/>Comparing the difference values to obtain a second adjustment value;
The expression of the second adjustment value is:
；
In the method, in the process of the invention, Is a second adjustment value;
ratio of free space And minimum idle security value/>Comparing the difference values to obtain a third adjustment value;
The expression of the third adjustment value is:
；
In the method, in the process of the invention, Is a third adjustment value;
Response processing speed And minimum speed safety value/>Comparing the difference values to obtain a fourth adjustment value;
the expression of the fourth adjustment value is:
；
In the method, in the process of the invention, Is a fourth adjustment value;
Accumulating the first adjustment value, the second adjustment value, the third adjustment value and the fourth adjustment value, and then averaging to obtain an adjustment unit value;
the expression for adjusting the unit value is:
；
In the method, in the process of the invention, For adjusting the unit value;
The method for synchronously adjusting the data to be adjusted comprises the following steps:
C1: taking the adjustment unit value as a standard, synchronously reducing the operation temperature rising rate and the electricity load change value by one adjustment unit value, increasing the idle space occupation rate and the response processing speed by one adjustment unit value;
c2: when the operating temperature rising rate and the power load change value are reduced by one adjustment unit value, the idle space occupation rate and the response processing speed are increased by one adjustment unit value, and the selected host is still in the management state, repeating the step C1 until the selected host exits the management state;
In this embodiment, by collecting comprehensive state data in an operation state of a selected host, generating an operation and maintenance state index based on the comprehensive state data, comparing the operation and maintenance state index with a preset operation and maintenance state threshold, determining whether the selected host enters a management state, combining the operation and maintenance state index with the preset operation and maintenance state threshold, generating an index difference, selecting a management mode based on the index difference, wherein the management mode comprises a primary management mode and a secondary management mode, comparing the comprehensive state data with a safety value respectively, marking data to be adjusted based on a comparison result, formulating an adjustment priority in the primary management mode, adjusting the data to be adjusted one by one according to the adjustment priority until the selected host exits the management state, formulating an adjustment unit value in the secondary management mode, and synchronously adjusting the data to be adjusted according to the adjustment unit value until the selected host exits the management state; compared with the prior art, the intelligent machine room management system has the advantages that the operation state data of the host computer can be accurately collected, the potential safety hazards existing in the host computer can be accurately judged, accordingly, countermeasures for adjusting and synchronously adjusting one by one are specifically formulated according to different emergency degrees of the potential safety hazards, the operation state of the intelligent machine room can be kept efficient, stable and safe, and further the operation and maintenance management efficiency of the intelligent machine room platform is greatly improved.
Example 2: referring to fig. 2, the details of this embodiment are not described in embodiment 1, and a method for managing operation and maintenance of a smart machine room platform based on cloud computing is provided, which is applied to a cloud server, and implemented based on a smart machine room platform operation and maintenance management system based on cloud computing, and includes:
Step one: collecting comprehensive state data of a selected host in an operation state;
step two: based on the comprehensive state data, generating an operation and maintenance state index, comparing the operation and maintenance state index with a preset operation and maintenance state threshold value, and judging whether the selected host enters a management state or not;
step three: generating an index difference value by combining the operation and maintenance state index and a preset operation and maintenance state threshold value, and selecting a management mode based on the index difference value, wherein the management mode comprises a primary management mode and a secondary management mode;
Step four: comparing the comprehensive state data with the corresponding safety value, and marking the data to be adjusted based on the comparison result;
Step five: in the first-level management mode, setting adjustment priority, and adjusting the data to be adjusted one by one according to the adjustment priority until the selected host exits from the management state;
step six: and in the secondary management mode, setting an adjustment unit value, and synchronously adjusting the data to be adjusted according to the adjustment unit value until the selected host exits from the management state.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. Intelligent machine room platform operation and maintenance management system based on cloud computing is applied to cloud server, and is characterized by comprising:
the data acquisition module is used for acquiring comprehensive state data under the operation state of the selected host, wherein the comprehensive state data comprises a power load change value, an operation temperature rising rate, an idle space occupation rate and a response processing speed;
The state analysis module is used for generating an operation and maintenance state index based on the comprehensive state data, comparing the operation and maintenance state index with a preset operation and maintenance state threshold value, and judging whether the selected host enters a management state or not;
the system comprises a mode selection module, a control module and a control module, wherein the mode selection module is used for combining an operation and maintenance state index with a preset operation and maintenance state threshold value to generate an index difference value, and selecting a management mode based on the index difference value, wherein the management mode comprises a primary management mode and a secondary management mode;
The to-be-adjusted marking module is used for comparing the comprehensive state data with the corresponding safety value and marking the to-be-adjusted data based on the comparison result;
The first management execution module is used for making adjustment priorities under the primary management mode, wherein the order of the adjustment priorities from high to low is as follows: the operating temperature rising rate, the power load change value, the idle space occupation rate and the response processing speed are adjusted one by one according to the adjustment priority, and the data to be adjusted are adjusted one by one until the selected host computer exits from the management state;
and the second management execution module is used for making an adjustment unit value according to the comprehensive state data in the secondary management mode, and synchronously adjusting the data to be adjusted according to the adjustment unit value until the selected host computer exits from the management state.
2. The cloud computing-based intelligent machine room platform operation and maintenance management system according to claim 1, wherein the method for acquiring the electricity load change value comprises the following steps:
Dividing the time T1 to the time T2 by taking a preset electricity utilization period as a standard Individual power utilization intervals, and marks/>Starting point and/>, of individual power utilization intervalEnd point of the electricity consumption interval;
respectively obtain through electric energy meter Power consumption load value and/>, corresponding to starting point of each power consumption sectionA power load value corresponding to the end point of each power section;
Will be Power utilization load value and/>, corresponding to end point of each power utilization sectionComparing the power consumption load value difference values corresponding to the starting points of the power consumption intervals to obtain/>Sub-load values;
The expression for the sub-load value is: ；
In the method, in the process of the invention, For/>Sub-load value,/>For/>The power load value corresponding to the end point of each power consumption interval,For/>A power utilization load value corresponding to the start point of each power utilization section; will/>Sub-load value and/>Sub-load value difference comparison to obtain/>A load difference value;
The expression of the load difference is: ；
In the method, in the process of the invention, For/>Load difference,/>Is the first sub-load value;
Will be The load difference values are accumulated and averaged to obtain a power consumption load change value;
The expression of the electricity load variation value is: ；
In the method, in the process of the invention, For the change value of the electric load,/>For/>And load differences.
3. The cloud computing-based intelligent machine room platform operation and maintenance management system according to claim 2, wherein the method for acquiring the operating temperature ramp rate comprises the following steps:
a1: the operation temperatures of the selected host at the time T3 and the time T4 are respectively monitored through temperature sensors and respectively recorded as an initial temperature and a final temperature;
A2: comparing the final temperature with the initial temperature difference value to obtain a temperature rise value;
a3: repeating Step of sub A1-A2, obtaining/>A plurality of temperature rise values;
The expression of the temperature rise value is: ；
In the method, in the process of the invention, For/>A temperature rise value,/>For/>Terminal temperature,/>For/>A respective onset temperature;
Will be The temperature rise values are arranged in descending order and are removed/>The first two and the second two of the temperature rise values will remainAfter accumulating the temperature rise values, comparing the accumulated temperature rise values with the time length corresponding to the time T3 to the time T4 to obtain the operating temperature rise rate;
The expression of the operating temperature ramp rate is: ；
In the method, in the process of the invention, For the rate of rise of operating temperature,/>For/>A temperature rise value,/>The time length corresponds to the time length from the time T3 to the time T4.
4. The cloud computing-based intelligent machine room platform operation and maintenance management system according to claim 3, wherein the method for acquiring the idle space occupation ratio comprises the following steps:
monitoring selected host total capacity and selected host in operation state by task manager Space occupation ratio of each running task to obtain/>A sub-occupation ratio;
Will be The sub-occupation ratio is accumulated to obtain a task occupation ratio;
The task ratio is expressed as: ；
In the method, in the process of the invention, For the task ratio,/>For/>A sub-occupation ratio;
Adding the task occupation ratio and the reserved safety capacity, and comparing with the total capacity difference of the selected host to obtain an idle space value;
The expression for the free space value is: ；
In the method, in the process of the invention, Is an idle space value,/>To select the total capacity of the host,/>Reserving a secure capacity for the mobile device;
comparing the idle space value with the total capacity of the selected host computer to obtain the idle space occupation ratio;
the expression of the free space occupation ratio is: ；
In the method, in the process of the invention, Is the space occupation ratio.
5. The cloud computing-based intelligent machine room platform operation and maintenance management system according to claim 4, wherein the response processing speed obtaining method comprises the following steps:
B1: acquiring the data input quantity of the selected host at the time A and the data output quantity at the time B by a data processor, and respectively recording the data input quantity and the data output quantity;
b2: comparing the data input quantity with the data output quantity difference value, and comparing the data input quantity with the duration corresponding to the time A to the time B to obtain the sub-rate;
b3: repeating with the time length corresponding to the time interval A to the time B as the standard Secondary B1-B2 step, obtaining/>A sub-rate;
the expression for the subrate is: ；
In the method, in the process of the invention, For/>Sub-rate,/>For/>Data input quantity,/>For/>Data output,/>The time length corresponds to the time length from the time A to the time B;
B4: will be The sub-rates are numbered in turn, and adjacent two numbered sub-rates are taken as a rate group to select/>Individual rate groups, will/>The sub-rates in the individual rate groups are added one to obtain/>A target rate;
The expression for the target rate is: ；
In the method, in the process of the invention, For/>Target rate,/>For/>Sub-rate,/>Is the firstA sub-rate;
B5: will be Averaging after accumulating the target rates to obtain a response processing speed;
The expression of the response processing speed is: ；
In the method, in the process of the invention, In response to processing speed,/>For/>A target rate.
6. The cloud computing-based intelligent machine room platform operation and maintenance management system according to claim 5, wherein the expression of the operation and maintenance state index is:；
In the method, in the process of the invention, For the operation and maintenance state index,/>、/>、/>、/>Is a weight factor;
The method for judging whether the selected host enters the management state comprises the following steps:
running and maintaining state index And preset operation and maintenance state threshold value/>Comparing;
When (when) Greater than or equal to/>When the selected host computer enters the management state;
When (when) Less than/>And when the selected host computer is judged not to enter the management state.
7. The cloud computing-based intelligent machine room platform operation and maintenance management system according to claim 6, wherein the expression of the index difference is:；
In the method, in the process of the invention, Is the index difference;
the selection method of the primary management mode and the secondary management mode comprises the following steps:
will be the index difference From a preset exponent difference threshold/>Comparing;
When (when) Less than/>Selecting a first-level management mode;
When (when) Greater than or equal to/>When the secondary management mode is selected.
8. The cloud computing-based intelligent machine room platform operation and maintenance management system according to claim 7, wherein the method for marking the data to be adjusted comprises the following steps:
Change value of electric load to be used And maximum load safety value/>Comparing;
When (when) Greater than/>When the power load change value is marked as data to be adjusted;
rate of rise of operating temperature And maximum temperature safety value/>Comparing;
When (when) Greater than/>When the temperature rise rate is marked as data to be adjusted;
ratio of free space And minimum idle security value/>Comparing;
When (when) Less than/>When the idle space occupation ratio is marked as data to be adjusted;
Response processing speed And minimum speed safety value/>Comparing;
When (when) Less than/>And when the response processing speed is marked as data to be adjusted.
9. The cloud computing-based intelligent machine room platform operation and maintenance management system according to claim 8, wherein the method for adjusting the data to be adjusted one by one comprises the following steps:
firstly, reducing the operating temperature rising rate until the selected host computer exits from the management state;
when the operating temperature rising rate is reduced to the maximum temperature safety value and the selected host is still in the management state, reducing the power load change value until the selected host exits the management state;
when the operating temperature rising rate is reduced to a maximum temperature safety value, the electricity load change value is reduced to a maximum load safety value, and the selected host is still in a management state, then the idle space occupation rate is increased until the selected host exits the management state;
when the operating temperature rising rate is reduced to a maximum temperature safety value, the electricity load change value is reduced to a maximum load safety value, the idle space occupation ratio is increased to a minimum idle safety value, and the selected host is still in a management state, the response processing speed is increased finally until the selected host exits the management state.
10. The cloud computing-based intelligent machine room platform operation and maintenance management system according to claim 9, wherein the method for formulating the adjustment unit value comprises the following steps:
Change value of electric load to be used And maximum load safety value/>Comparing the difference values to obtain a first adjustment value;
The expression of the first adjustment value is: ；
In the method, in the process of the invention, Is the first adjustment value;
rate of rise of operating temperature And maximum temperature safety value/>Comparing the difference values to obtain a second adjustment value;
The expression of the second adjustment value is: ；
In the method, in the process of the invention, Is a second adjustment value;
ratio of free space And minimum idle security value/>Comparing the difference values to obtain a third adjustment value;
The expression of the third adjustment value is: ；
In the method, in the process of the invention, Is a third adjustment value;
Response processing speed And minimum speed safety value/>Comparing the difference values to obtain a fourth adjustment value;
the expression of the fourth adjustment value is: ；
In the method, in the process of the invention, Is a fourth adjustment value;
Accumulating the first adjustment value, the second adjustment value, the third adjustment value and the fourth adjustment value, and then averaging to obtain an adjustment unit value;
the expression for adjusting the unit value is: ；
In the method, in the process of the invention, For adjusting the unit value;
The method for synchronously adjusting the data to be adjusted comprises the following steps:
C1: taking the adjustment unit value as a standard, synchronously reducing the operation temperature rising rate and the electricity load change value by one adjustment unit value, increasing the idle space occupation rate and the response processing speed by one adjustment unit value;
C2: and when the selected host is still in the management state after the operating temperature rising rate and the power load change value are reduced by one adjustment unit value, the idle space occupation rate and the response processing speed are increased by one adjustment unit value, repeating the step C1 until the selected host exits from the management state.
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| CN105067947A (en) * | 2015-08-28 | 2015-11-18 | 广西电网有限责任公司电力科学研究院 | Power transformer equipment state dynamic monitoring system |
| CN107786616A (en) * | 2016-08-30 | 2018-03-09 | 江苏蓝创聚联数据与应用研究院有限公司 | Main frame intelligent monitor system based on high in the clouds |
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| CN108958950A (en) * | 2018-05-29 | 2018-12-07 | 联发科技（新加坡）私人有限公司 | Task management method, host and the storage device of electronic storage device |
| CN112838942A (en) * | 2019-11-25 | 2021-05-25 | 中兴通讯股份有限公司 | Network operation and maintenance method, electronic equipment and storage medium |
| CN111668931A (en) * | 2020-06-10 | 2020-09-15 | 广东电网有限责任公司 | Power distribution operation and maintenance system and power distribution operation and maintenance method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105067947A (en) * | 2015-08-28 | 2015-11-18 | 广西电网有限责任公司电力科学研究院 | Power transformer equipment state dynamic monitoring system |
| CN107786616A (en) * | 2016-08-30 | 2018-03-09 | 江苏蓝创聚联数据与应用研究院有限公司 | Main frame intelligent monitor system based on high in the clouds |
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