Case server management method and system

Abstract

The invention relates to the technical field of case server management, in particular to a case server management method and system, and the method comprises the following steps: carrying out the weighted processing of an obtained abnormal comprehensive image value, a color deviation comprehensive mean value and an environment influence total coefficient, and obtaining a cooling fan efficiency coefficient; and judging whether the running heat dissipation state of the case server is in a normal state or not according to the heat dissipation fan efficiency coefficient. According to the method, possible problems of the fan can be found in advance through analysis of the state of the cooling fan, the fan is maintained in time, the blockage degree of the air inlet and the air outlet is accurately judged through multi-angle image analysis and color deviation comprehensive value calculation according to the blockage condition of the cooling holes, and therefore the blocked cooling holes are cleaned in time, and the service life of the cooling fan is prolonged. The analysis of the operation environment data of the case server and the calculation of the environment influence coefficient are beneficial to the real-time monitoring of the influence of the environment on the heat dissipation of the server.

Description

Technical Field

[0001] The present invention relates to the technical field of heat dissipation management of a chassis server, and in particular to a chassis server management method and system. Background Art

[0002] In today's digital age, chassis servers are core devices for data processing and storage, and their stable operation is crucial to the continuity and reliability of various businesses. With the rapid development of information technology, the computing power of chassis servers has been continuously improved, but this is also accompanied by a sharp increase in the amount of heat generated during operation.

[0003] The highly integrated electronic components inside the chassis server will generate a lot of heat during operation. If the heat dissipation process is not effectively implemented, the heat accumulation will inevitably cause serious damage to the internal components. Although existing chassis servers are generally equipped with cooling fans and the computer room environment has a certain degree of adjustment capabilities, they still face many challenges, including: The cooling fan is in a high-load operation state for a long time, and its mechanical parts are very prone to wear and tear, and its electrical performance will gradually deteriorate over time, resulting in a decrease in cooling efficiency.

[0004] The air inlet and outlet of the chassis server are key channels for heat exchange and are easily invaded by dust particles in the surrounding environment. The accumulation of dust not only hinders the smooth flow of airflow, but also reduces the heat dissipation efficiency to a certain extent, further aggravating the complexity of the heat dissipation problem. Therefore, it is necessary to propose a chassis server management method and system. Summary of the invention

[0005] The purpose of the present invention is to provide a chassis server management method and system to solve the above problems.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions: A chassis server management method comprises the following steps: Step 1: Obtain status information of the cooling fan in the chassis server; Step 2: Analyze and process the status information of the cooling fan in the chassis server to obtain the abnormal impact value corresponding to the parameter; perform weighted processing on the abnormal impact values ​​corresponding to all parameters to obtain the abnormal comprehensive impact value; Step 3: Obtain the blockage information of the air inlet and air outlet of the heat dissipation hole of the chassis server, and perform corresponding analysis and processing to obtain the total color deviation value of the air inlet and outlet; Step 4: Obtain the operating environment data of the chassis server, and perform corresponding analysis and processing to obtain the total environmental impact coefficient; Step 5: Weight the obtained abnormal comprehensive image value, color deviation comprehensive mean value, and environmental impact total coefficient to obtain the cooling fan efficiency coefficient; Step 6: According to the cooling fan efficiency coefficient, determine whether the cooling status of the chassis server is normal. If not, compare the abnormal comprehensive image value, color deviation comprehensive mean value, and environmental impact total coefficient with their corresponding thresholds to generate corresponding operations.

[0007] Preferably, based on step 2, the cooling fan status information in the chassis server is analyzed, and the specific analysis process is as follows: S21: obtaining status information of a cooling fan in the server when the chassis server is running, the status information of the cooling fan in the server including the number of revolutions of the cooling fan, noise decibel, and the temperature of a driving motor of the cooling fan; setting a standard parameter value of any parameter of the status information in the cooling fan startup state, performing a difference calculation between any parameter in the cooling fan startup state and its corresponding standard parameter value to obtain a standard parameter difference corresponding to the parameter; setting an allowable fluctuation range of the standard parameter difference corresponding to the parameter, and if the standard deviation is not within its corresponding allowable floating range, marking the standard deviation as deviating from the standard deviation; S22: Mark the time between the start-up time of the cooling fan and the current time as the running time, and calculate the difference between the maximum deviation standard value and the minimum deviation standard value in the running time to obtain the deviation extreme value; S23: Calculate the mean of all standard deviation values ​​within the running time to obtain a standard mean deviation value; S24: Calculate the standard deviation of all standard deviation values ​​during the running time to obtain a standard deviation fluctuation value; S25: Record any moment in the running time when a deviation from the standard deviation is generated as the first moment, and record the moment in the next moment when a deviation from the standard deviation is generated as the second moment, calculate the difference between the first moment and the second moment to obtain the adjacent time difference value; calculate the standard deviation of the adjacent time difference values ​​in the running time zone to obtain the biased time fluctuation value; S26: Perform weighted calculation on the deviation standard deviation value, deviation range value, standard mean deviation value, standard deviation fluctuation value, and deviation time fluctuation value to obtain the abnormal impact value corresponding to the parameter.

[0008] Preferably, based on step three, the blockage information at the air inlet and air outlet of the heat dissipation hole of the chassis server is obtained, and corresponding analysis and processing are performed to obtain the total color deviation value of the air inlet and outlet. The specific analysis process is as follows: S31: Acquire image information of the air inlet and air outlet of the heat dissipation hole; S32: Enlarging the air inlet image photo of the heat dissipation hole to obtain its pixel block image, identifying the color value of the pixel block of the heat dissipation hole air inlet, and performing mean processing on the pixel block to obtain the color deviation mean of the heat dissipation hole air inlet, and comparing the color deviation mean with the color value of the heat dissipation hole air inlet standard range at an angle corresponding to the set parameter. If the color deviation of the air inlet of the heat dissipation hole is not within the color value range of the heat dissipation hole air inlet standard range, the color deviation mean is recorded as the color deviation difference mean one; S33: performing weighted processing on the average values ​​of color deviation differences in the heat dissipation hole air inlet images at different angles to obtain a comprehensive value of air inlet color deviation; S34: Obtaining the blockage information of the air outlet of the heat dissipation hole of the chassis server, and obtaining the total value of the air outlet color deviation of the air outlet of the heat dissipation hole according to steps S32-S33; S35: Set a preset server internal and external difference influence constant, and perform weighted processing on the server internal and external difference influence constant, the inlet color deviation comprehensive value, and the outlet color deviation comprehensive value to obtain the inlet and outlet total color deviation comprehensive value.

[0009] Preferably, in step 4, the operating environment data of the chassis server is obtained and analyzed, and the specific analysis process is as follows: S41: Obtaining environmental information of the chassis server, including ambient temperature, humidity, and dust concentration; S42: setting an environmental standard value of any parameter in the environmental information, performing difference calculation between the numerical value of the parameter in the environmental information and the environmental standard value corresponding to the parameter, and obtaining the environmental difference corresponding to the parameter; setting an environmental fluctuation time zone, performing mean and standard deviation calculation on the environmental difference in the environmental fluctuation time zone to obtain the ring difference mean and ring difference fluctuation value; The environmental difference, the mean of the ring difference, and the ring difference fluctuation value are weighted to obtain the environmental impact coefficient; S43: Perform weighted calculation on the environmental impact coefficients of all parameters in the environmental information to obtain a total environmental impact coefficient.

[0010] Preferably, in step six, it is determined whether the heat dissipation state of the chassis server is in a normal state, and the specific determination process is as follows: Compare the cooling fan efficiency coefficient with the established threshold. If the cooling fan efficiency coefficient is less than the established cooling fan efficiency coefficient threshold, it indicates that the cooling of the chassis server is abnormal. When the cooling of the chassis server is abnormal, perform the following operations: Obtain the abnormal comprehensive image value, compare it with the established threshold value, and determine whether the cooling fan in the chassis server is normal. If the cooling fan in the chassis server is abnormal, the server will send maintenance information to the intelligent terminal of the relevant maintenance personnel to remind the relevant maintenance personnel to perform maintenance on the chassis server; Obtain the inlet color deviation comprehensive value and the outlet color deviation comprehensive value, and record the positions of the corresponding inlets and outlets by number, set the inlet color deviation comprehensive value threshold and the outlet color deviation comprehensive value threshold, and compare them with the outlet color deviation comprehensive value and the outlet color deviation comprehensive value respectively, to determine whether the inlet and outlet of the chassis server are abnormally blocked. If the inlet and outlet of the chassis server are abnormally blocked, send the number, position and blocking information of the blocked inlet and outlet to the relevant maintenance personnel of the server; Obtain the total environmental impact coefficient, set a threshold value for comparison, and determine whether the external environment of the chassis server is abnormal. If the external environment is abnormal, control the temperature control equipment, humidity control equipment, and air purification equipment in the chassis server room according to the environmental impact coefficient corresponding to the parameters in the environmental information; If the cooling fan efficiency coefficient is greater than or equal to the established cooling fan efficiency coefficient threshold, it indicates that the cooling efficiency inside the chassis remains normal, and the chassis server is continuously monitored.

[0011] Preferably, in step S35, the logic for obtaining the difference influence constant inside and outside the server is: Obtain the internal and external differential information of the chassis server, including the wind speed inside and outside the heat dissipation hole air inlet, the temperature inside and outside the heat dissipation hole air inlet, the wind speed inside and outside the heat dissipation hole air outlet, and the temperature inside and outside the heat dissipation hole air outlet; A standard fan speed is set, and the standard deviation of wind speed inside and outside the heat dissipation hole air inlet, the standard deviation of wind speed inside and outside the heat dissipation hole air outlet, the standard deviation of temperature inside and outside the heat dissipation hole air inlet, and the standard deviation of temperature inside and outside the heat dissipation hole air outlet under the fan speed are obtained; Setting the standard value of the internal and external difference information of any parameter in the internal and external difference information of the chassis server, performing difference calculation between the value of the parameter in the internal and external difference information of the chassis server and the standard value of the internal and external difference corresponding to the parameter, and obtaining the internal and external difference difference corresponding to the parameter; Set the internal and external difference fluctuation time zone of the chassis server, and calculate the mean and standard deviation of the internal and external difference differences within the internal and external difference fluctuation time zone of the chassis server to obtain the internal and external difference mean and the internal and external difference fluctuation value; Perform weighted calculation on the inside-outside difference, the inside-outside difference mean, and the inside-outside difference fluctuation value to obtain the inside-outside difference image value; The environmental differences of all parameters in the internal and external difference information of the chassis server are weighted and calculated to obtain the internal and external difference influence coefficient of the server.

[0012] A management system for a chassis server, the management system comprising: a data acquisition module, a data analysis module, and a judgment processing module: A data acquisition module is used to obtain status information of the cooling fan in the chassis server; The data analysis module includes a state analysis module, a congestion analysis module, an environmental analysis module and a comprehensive processing module; The status analysis module is used to analyze the status information of the cooling fan in the chassis server to obtain the abnormal impact value corresponding to the parameter; the abnormal impact values ​​corresponding to all parameters are weighted to obtain the abnormal comprehensive value; The blockage analysis module is used to analyze the blockage information at the air inlet and outlet of the heat dissipation holes of the chassis server to obtain the total color deviation value of the air inlet and outlet; The environmental analysis module is used to analyze the operating environment data of the chassis server and obtain the total environmental impact coefficient; The comprehensive processing module is used to perform weighted processing on the abnormal comprehensive image value, the color deviation comprehensive mean value, and the total environmental impact coefficient to obtain the cooling fan efficiency coefficient: The heat dissipation efficiency judgment module is used to judge whether the operating heat dissipation status of the chassis server is normal based on the efficiency coefficient of the cooling fan; if it is not in the normal state, the corresponding operation is generated by comparing the abnormal comprehensive image value, the color deviation comprehensive mean value, the total environmental impact coefficient and their corresponding thresholds.

[0013] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. The present invention can discover possible problems with the fan in advance and perform maintenance on the fan in time through detailed analysis of the cooling fan status. For the blockage of the cooling holes, the blockage degree of the air inlet and outlet can be accurately determined through multi-angle image analysis and color deviation comprehensive value calculation, so as to clean the blocked cooling holes in time. The analysis of the chassis server operating environment data and the calculation of the environmental impact coefficient are helpful to monitor the impact of the environment on the server heat dissipation in real time.

[0014] 2. The present invention comprehensively evaluates the heat dissipation status of the server by calculating the efficiency coefficient of the cooling fan by comprehensively considering three factors: the state of the cooling fan, the blockage of the cooling holes and the external environment of the chassis server, thereby avoiding the limitation of single factor judgment and providing administrators with more accurate and comprehensive information, enabling them to formulate heat dissipation management strategies more efficiently. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Further details, features and advantages of the present application are disclosed in the following description of exemplary embodiments in conjunction with the accompanying drawings, in which: Figure 1 A flowchart of a chassis server management method of the present invention; Figure 2 The present invention is a principle block diagram of a chassis server management system. DETAILED DESCRIPTION

[0016] Several embodiments of the present application will be described in more detail below with reference to the accompanying drawings so that those skilled in the art can implement the present application. The present application can be embodied in many different forms and purposes and should not be limited to the embodiments described herein. These embodiments are provided to make the present application comprehensive and complete, and to fully convey the scope of the present application to those skilled in the art. The embodiments do not limit the present application.

[0017] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which this application belongs. It will be further understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the relevant art and / or the context of this specification, and will not be interpreted in an idealized or overly formal sense unless explicitly defined as such herein.

[0018] See also Figure 1-Figure 2 As shown, the present invention provides a technical solution: A chassis server management method comprises the following steps: Step 1: Obtain status information of the cooling fan in the chassis server; Step 2: Analyze and process the status information of the cooling fan in the chassis server to obtain the abnormal impact value corresponding to the parameter; perform weighted processing on the abnormal impact values ​​corresponding to all parameters to obtain the abnormal comprehensive impact value; Step 3: Obtain the blockage information at the air inlet and air outlet of the heat dissipation hole of the chassis server, and perform corresponding analysis and processing to obtain the total color deviation value of the air inlet and outlet; Step 4: Obtain the operating environment data of the chassis server, and perform corresponding analysis and processing to obtain the total environmental impact coefficient; Step 5: Weight the obtained abnormal comprehensive image value, color deviation comprehensive mean value, and environmental impact total coefficient to obtain the cooling fan efficiency coefficient; Step 6: According to the cooling fan efficiency coefficient, determine whether the cooling status of the chassis server is normal. If not, compare the abnormal comprehensive image value, color deviation comprehensive mean value, and environmental impact total coefficient with their corresponding thresholds to generate corresponding operations.

[0019] Based on step 2, the status information of the cooling fan in the chassis server is analyzed. The specific analysis process is as follows: S21: obtaining status information of a cooling fan in the server when the chassis server is running, the status information of the cooling fan in the server including the number of revolutions of the cooling fan, noise decibel, and the temperature of a driving motor of the cooling fan; setting a standard parameter value of any parameter of the status information in the cooling fan startup state, performing a difference calculation between any parameter in the cooling fan startup state and its corresponding standard parameter value, and obtaining a standard parameter difference corresponding to the parameter; setting an allowable fluctuation range of the standard parameter difference corresponding to the parameter, and if the standard deviation is not within its corresponding allowable floating range, marking the standard deviation as deviating from the standard deviation Q1; S22: Mark the time between the start-up time of the cooling fan and the current time as the running time, calculate the difference between the maximum deviation standard value and the minimum deviation standard value in the running time, and obtain the deviation extreme value Q2; S23: Calculate the mean of all standard deviation values ​​during the running time to obtain a standard mean deviation value Q3; S24: Calculate the standard deviation of all standard deviation values ​​during the running time to obtain a standard deviation fluctuation value Q4; S25: Record any moment in the running time when a deviation from the standard deviation is generated as the first moment, and record the moment in the next moment when a deviation from the standard deviation is generated as the second moment, calculate the difference between the first moment and the second moment to obtain the adjacent time difference value; calculate the standard deviation of the adjacent time difference values ​​in the running time zone to obtain the biased time fluctuation value Q5; S26: Weighted calculation is performed on the deviation standard deviation, deviation range, standard mean deviation, standard deviation fluctuation, and deviation time fluctuation using the formula: ; Get the abnormal impact value Q corresponding to the parameter, where N1, N2, N3, N4, and N5 are the weights corresponding to the deviation standard deviation, deviation range, standard mean deviation, standard deviation fluctuation, and skew fluctuation, respectively, and 1.25 is a preset constant; The abnormal impact values ​​obtained from the status information of all cooling fans are weighted to obtain the abnormal comprehensive impact value ; Based on step 3, the blockage information at the air inlet and air outlet of the heat dissipation holes of the chassis server is obtained, and corresponding analysis and processing are performed to obtain the total color deviation value of the air inlet and outlet. The specific analysis process is as follows: S31: Acquire image information of the air inlet and air outlet of the heat dissipation hole; S32: Enlarging the air inlet image photo of the heat dissipation hole to obtain its pixel block image, identifying the color value of the pixel block of the heat dissipation hole air inlet, and performing mean processing on the pixel block to obtain the color deviation mean of the heat dissipation hole air inlet, and comparing the color deviation mean with the color value of the heat dissipation hole air inlet standard range at the angle corresponding to the set parameter; if the color deviation of the air inlet of the heat dissipation hole is not within the color value range of the heat dissipation hole air inlet standard range, then the color deviation mean is recorded as the color deviation difference mean one. ; S33: weighting the color deviation difference mean values ​​in the heat dissipation hole air inlet images at different angles, using the formula: ; Get the total value of the air inlet color deviation ; where i is the number of the heat dissipation hole image corresponding to the shooting angle, and n represents the total number of all shooting angles. , They represent the mean color deviation difference corresponding to the shooting angle i. and its corresponding weight, L is the preset air influence coefficient; S34: Obtain the blockage information of the air outlet of the heat dissipation hole of the chassis server, and obtain the outlet color deviation comprehensive value of the air outlet of the heat dissipation hole according to steps S32-S33 ; S35: setting a preset server internal and external difference influence constant, and weighting the server internal and external difference influence constant, the inlet color deviation comprehensive value, and the outlet color deviation comprehensive value, using the formula: Set the preset server internal and external difference influence constant, and compare the server internal and external difference influence constant with the inlet color deviation value , outlet color deviation total value For weighted processing, use the formula: ; Get the total color deviation value of the inlet and outlet ;in, , They represent the weights corresponding to the inlet color deviation comprehensive value and the outlet color deviation comprehensive value respectively, and RL is the preset server internal and external difference influence constant; In step 4, the operating environment data of the chassis server is obtained and analyzed. The specific analysis process is as follows: S41: Obtaining environmental information of the chassis server, including ambient temperature, humidity, and dust concentration; S42: Setting the environmental standard value of any parameter in the environmental information, performing difference calculation between the numerical value of the parameter in the environmental information and the environmental standard value corresponding to the parameter, and obtaining the environmental difference value E1 corresponding to the parameter; setting the environmental fluctuation time zone, performing mean and standard deviation calculation on the environmental difference values ​​in the environmental fluctuation time zone, and obtaining the ring difference mean value E2 and the ring difference fluctuation value E3; The environmental difference, the mean of the ring difference, and the ring difference fluctuation value are weighted and calculated using the formula: : The environmental impact coefficient EC is obtained; where r1, r2, and r3 represent the weights corresponding to the environmental difference, the mean of the ring difference, and the ring difference fluctuation value, respectively; S43: Perform weighted calculation on the current environmental differences of all parameters in the environmental information, using the formula ; The total environmental impact coefficient EJ is obtained; where j represents the number of the parameter in the environmental information, c represents the sum of all parameters in the environmental information, jEC, They respectively represent the environmental difference of parameter j in the environmental information and its corresponding weight.

[0020] In step 6, it is determined whether the heat dissipation state of the chassis server is normal. The specific determination process is as follows: Compare the cooling fan efficiency coefficient with the established threshold. If the cooling fan efficiency coefficient is less than the established cooling fan efficiency coefficient threshold, it indicates that the cooling of the chassis server is abnormal. When the cooling of the chassis server is abnormal, perform the following operations: Obtain the abnormal comprehensive image value, compare it with the established threshold value, and determine whether the cooling fan in the chassis server is normal. If the cooling fan in the chassis server is abnormal, the server will send maintenance information to the intelligent terminal of the relevant maintenance personnel to remind the relevant maintenance personnel to perform maintenance on the chassis server; Obtain the inlet color deviation comprehensive value and the outlet color deviation comprehensive value, and record the positions of the corresponding inlets and outlets by number, set the inlet color deviation comprehensive value threshold and the outlet color deviation comprehensive value threshold, and compare them with the outlet color deviation comprehensive value and the outlet color deviation comprehensive value respectively, to determine whether the inlet and outlet of the chassis server are abnormally blocked. If the inlet and outlet of the chassis server are abnormally blocked, send the number, position and blocking information of the blocked inlet and outlet to the relevant maintenance personnel of the server; Obtain the total environmental impact coefficient, set a threshold to compare it, and determine whether the external environment of the chassis server is abnormal. If the external environment is abnormal, control the temperature control equipment, humidity control equipment, and air purification equipment in the chassis server room according to the environmental impact coefficient corresponding to the parameters in the environmental information. Specifically: According to the environmental impact coefficient corresponding to the ambient temperature in the environmental information, the temperature control device in the chassis server room is controlled; according to the environmental impact coefficient corresponding to the humidity in the environmental information, the humidity control device in the chassis server room is controlled; according to the environmental impact coefficient corresponding to the dust concentration in the environmental information, the air purification device in the chassis server room is controlled; it should be further explained that the temperature control device is a heater or a refrigerator, the humidity control device is a humidifier or a dehumidifier, and the air purification device is an air purifier; If the cooling fan efficiency coefficient is greater than or equal to the established cooling fan efficiency coefficient threshold, it indicates that the cooling efficiency inside the chassis remains normal, and the chassis server is continuously monitored.

[0021] Based on step S35, the logic for obtaining the difference influence constants inside and outside the server is: Obtain the internal and external differential information of the chassis server, including the wind speed inside and outside the heat dissipation hole air inlet, the temperature inside and outside the heat dissipation hole air inlet, the wind speed inside and outside the heat dissipation hole air outlet, and the temperature inside and outside the heat dissipation hole air outlet; A standard fan speed is set, and the standard deviation of wind speed inside and outside the heat dissipation hole air inlet, the standard deviation of wind speed inside and outside the heat dissipation hole air outlet, the standard deviation of temperature inside and outside the heat dissipation hole air inlet, and the standard deviation of temperature inside and outside the heat dissipation hole air outlet under the fan speed are obtained; Set the standard value of the internal and external difference information of any parameter in the internal and external difference information of the chassis server, calculate the difference between the value of the parameter in the internal and external difference information of the chassis server and the standard value of the internal and external difference corresponding to the parameter, and obtain the internal and external difference difference U1 corresponding to the parameter; Set the internal and external difference fluctuation time zone of the chassis server, and calculate the mean and standard deviation of the internal and external difference differences within the internal and external difference fluctuation time zone of the chassis server to obtain the internal and external difference mean value U2 and the internal and external difference fluctuation value U3; The inside-outside difference difference, the inside-outside difference mean, and the inside-outside difference fluctuation value are weighted and calculated using the formula U=U1×w1+U2×w2+U3×w3 to obtain the inside-outside difference value U; wherein w1, w2, and w3 represent the weights corresponding to the inside-outside difference difference, the inside-outside difference mean, and the inside-outside difference fluctuation value, respectively; The environmental differences of all parameters in the internal and external difference information of the chassis server are weighted and calculated using the formula: ; Obtain the server internal and external difference influence constant RL; wherein, b represents the number of the parameter in the internal and external difference information of the chassis server, d represents the sum of all parameters in the internal and external difference information of the chassis server, and bRL and mi represent the environmental difference value of parameter b in the environmental information and its corresponding weight respectively.

[0022] A management system for a chassis server, the management system comprising: a data acquisition module, a data analysis module, and a judgment processing module: A data acquisition module is used to obtain status information of the cooling fan in the chassis server; The data analysis module includes a state analysis module, a congestion analysis module, an environmental analysis module and a comprehensive processing module; The status analysis module is used to analyze the status information of the cooling fan in the chassis server to obtain the abnormal impact value corresponding to the parameter; the abnormal impact values ​​corresponding to all parameters are weighted to obtain the abnormal comprehensive value; The blockage analysis module is used to analyze the blockage information at the air inlet and outlet of the heat dissipation holes of the chassis server to obtain the total color deviation value of the air inlet and outlet; The environmental analysis module is used to analyze the operating environment data of the chassis server and obtain the total environmental impact coefficient; The comprehensive processing module is used to perform weighted processing on the abnormal comprehensive image value, the color deviation comprehensive mean value, and the total environmental impact coefficient to obtain the cooling fan efficiency coefficient: The heat dissipation efficiency judgment module is used to judge whether the operating heat dissipation status of the chassis server is normal based on the efficiency coefficient of the cooling fan; if it is not in the normal state, the corresponding operation is generated by comparing the abnormal comprehensive image value, the color deviation comprehensive mean value, the total environmental impact coefficient and their corresponding thresholds.

[0023] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The influencing weight factor and specific coefficient value in the formula are set by technical personnel in this field according to actual conditions, and can be adjusted and modified later.

[0024] The above description of the embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A chassis server management method, characterized in that: The following steps are involved: Step 1: Obtain status information of the cooling fan in the chassis server; Step 2: Analyze and process the status information of the cooling fan in the chassis server to obtain the abnormal impact value corresponding to the parameter; perform weighted processing on the abnormal impact values ​​corresponding to all parameters to obtain the abnormal comprehensive impact value; Step 3: Obtain the blockage information at the air inlet and air outlet of the heat dissipation hole of the chassis server, and perform corresponding analysis and processing to obtain the total color deviation value of the air inlet and outlet; Step 4: Obtain the operating environment data of the chassis server, and perform corresponding analysis and processing to obtain the total environmental impact coefficient; Step 5: Weight the obtained abnormal comprehensive image value, color deviation comprehensive mean value, and environmental impact total coefficient to obtain the cooling fan efficiency coefficient; Step 6: According to the cooling fan efficiency coefficient, determine whether the cooling status of the chassis server is normal. If not, compare the abnormal comprehensive image value, color deviation comprehensive mean value, and environmental impact total coefficient with their corresponding thresholds to generate corresponding operations.

2. A chassis server management method according to claim 1, characterized in that: Based on step 2, the status information of the cooling fan in the chassis server is analyzed. The specific analysis process is as follows: S21: obtaining status information of a cooling fan in the server when the chassis server is running, the status information of the cooling fan in the server including the number of revolutions of the cooling fan, noise decibel, and the temperature of a driving motor of the cooling fan; setting a standard parameter value of any parameter of the status information in the cooling fan startup state, performing a difference calculation between any parameter in the cooling fan startup state and its corresponding standard parameter value, and obtaining a standard parameter difference corresponding to the parameter; Set the allowable fluctuation range of the standard parameter difference corresponding to the parameter. If the standard deviation value is not within its corresponding allowable floating range, the standard deviation value will be marked as deviating from the standard deviation value. S22: Mark the time between the start-up time of the cooling fan and the current time as the running time, and calculate the difference between the maximum deviation standard value and the minimum deviation standard value in the running time to obtain the deviation extreme value; S23: Calculate the mean of all standard deviation values ​​within the running time to obtain a standard mean deviation value; S24: Calculate the standard deviation of all standard deviation values ​​during the running time to obtain a standard deviation fluctuation value; S25: Record any moment in the running time when a deviation from the standard deviation is generated as the first moment, and record the moment in the next moment when a deviation from the standard deviation is generated as the second moment, calculate the difference between the first moment and the second moment to obtain the adjacent time difference value; calculate the standard deviation of the adjacent time difference values ​​in the running time zone to obtain the biased time fluctuation value; S26: Perform weighted calculation on the deviation standard deviation value, deviation range value, standard mean deviation value, standard deviation fluctuation value, and deviation time fluctuation value to obtain the abnormal impact value corresponding to the parameter.

3. A chassis server management method according to claim 1, characterized in that: Based on step 3, the blockage information at the air inlet and air outlet of the heat dissipation holes of the chassis server is obtained, and corresponding analysis and processing are performed to obtain the total color deviation value of the air inlet and outlet. The specific analysis process is as follows: S31: Acquire image information of the air inlet and air outlet of the heat dissipation hole; S32: Enlarging the air inlet image photo of the heat dissipation hole to obtain its pixel block image, identifying the color value of the pixel block of the heat dissipation hole air inlet, and performing mean processing on the pixel block to obtain the color deviation mean of the heat dissipation hole air inlet, and comparing the color deviation mean with the color value of the heat dissipation hole air inlet standard range at an angle corresponding to the set parameter. If the color deviation of the air inlet of the heat dissipation hole is not within the color value range of the heat dissipation hole air inlet standard range, the color deviation mean is recorded as the color deviation difference mean one; S33: performing weighted processing on the average values ​​of the color deviation differences in the heat dissipation hole air inlet images at different angles to obtain a comprehensive value of the air inlet color deviation; S34: Obtaining the blockage information of the air outlet of the heat dissipation hole of the chassis server, and obtaining the total value of the air outlet color deviation of the air outlet of the heat dissipation hole according to steps S32-S33; S35: Set a preset server internal and external difference influence constant, and perform weighted processing on the server internal and external difference influence constant, the inlet color deviation comprehensive value, and the outlet color deviation comprehensive value to obtain the inlet and outlet total color deviation comprehensive value.

4. A chassis server management method according to claim 3, characterized in that: In step 4, the operating environment data of the chassis server is obtained and analyzed and processed accordingly. The specific analysis process is as follows: S41: Obtaining environmental information of the chassis server, including ambient temperature, humidity, and dust concentration; S42: setting an environmental standard value of any parameter in the environmental information, performing difference calculation between the numerical value of the parameter in the environmental information and the environmental standard value corresponding to the parameter, and obtaining the environmental difference corresponding to the parameter; setting an environmental fluctuation time zone, performing mean and standard deviation calculation on the environmental difference in the environmental fluctuation time zone to obtain the ring difference mean and ring difference fluctuation value; The environmental difference, the mean of the ring difference, and the ring difference fluctuation value are weighted to obtain the environmental impact coefficient; S43: Perform weighted calculation on the environmental impact coefficients of all parameters in the environmental information to obtain a total environmental impact coefficient.

5. A chassis server management method according to claim 1, characterized in that: In step 6, it is determined whether the heat dissipation state of the chassis server is normal. The specific determination process is as follows: Compare the cooling fan efficiency coefficient with the established threshold. If the cooling fan efficiency coefficient is less than the established cooling fan efficiency coefficient threshold, it indicates that the cooling of the chassis server is abnormal. When the cooling of the chassis server is abnormal, perform the following operations: Obtain the abnormal comprehensive image value, compare it with the established threshold value, and determine whether the cooling fan in the chassis server is normal. If the cooling fan in the chassis server is abnormal, the server will send maintenance information to the intelligent terminal of the relevant maintenance personnel to remind the relevant maintenance personnel to perform maintenance on the chassis server; Obtain the inlet color deviation comprehensive value and the outlet color deviation comprehensive value, and record the positions of the corresponding inlets and outlets by number, set the inlet color deviation comprehensive value threshold and the outlet color deviation comprehensive value threshold, and compare them with the outlet color deviation comprehensive value and the outlet color deviation comprehensive value respectively, to determine whether the inlet and outlet of the chassis server are abnormally blocked. If the inlet and outlet of the chassis server are abnormally blocked, send the number, position and blocking information of the blocked inlet and outlet to the relevant maintenance personnel of the server; Obtain the total environmental impact coefficient, set a threshold value for comparison, and determine whether the external environment of the chassis server is abnormal. If the external environment is abnormal, control the temperature control equipment, humidity control equipment, and air purification equipment in the chassis server room according to the environmental impact coefficient corresponding to the parameters in the environmental information; If the cooling fan efficiency coefficient is greater than or equal to the established cooling fan efficiency coefficient threshold, it indicates that the cooling efficiency inside the chassis remains normal, and the chassis server is continuously monitored.

6. A chassis server management method according to claim 1, characterized in that: Based on step S35, the logic for obtaining the difference influence constants inside and outside the server is: Obtain the internal and external differential information of the chassis server, including the wind speed inside and outside the heat dissipation hole air inlet, the temperature inside and outside the heat dissipation hole air inlet, the wind speed inside and outside the heat dissipation hole air outlet, and the temperature inside and outside the heat dissipation hole air outlet; A standard fan speed is set, and the standard deviation of wind speed inside and outside the heat dissipation hole air inlet, the standard deviation of wind speed inside and outside the heat dissipation hole air outlet, the standard deviation of temperature inside and outside the heat dissipation hole air inlet, and the standard deviation of temperature inside and outside the heat dissipation hole air outlet under the fan speed are obtained; Setting the standard value of the internal and external difference information of any parameter in the internal and external difference information of the chassis server, performing difference calculation between the value of the parameter in the internal and external difference information of the chassis server and the standard value of the internal and external difference corresponding to the parameter, and obtaining the internal and external difference difference corresponding to the parameter; Set the internal and external difference fluctuation time zone of the chassis server, and calculate the mean and standard deviation of the internal and external difference differences within the internal and external difference fluctuation time zone of the chassis server to obtain the internal and external difference mean and the internal and external difference fluctuation value; Perform weighted calculation on the inside-outside difference, the inside-outside difference mean, and the inside-outside difference fluctuation value to obtain the inside-outside difference image value; The environmental differences of all parameters in the internal and external difference information of the chassis server are weighted and calculated to obtain the internal and external difference influence coefficient of the server.

7. A chassis server management system, using a chassis server management method according to any one of claims 1 to 6, characterized in that: The management system includes: data collection module, data analysis module, and judgment processing module: A data acquisition module is used to obtain status information of the cooling fan in the chassis server; The data analysis module includes a state analysis module, a congestion analysis module, an environmental analysis module and a comprehensive processing module; The status analysis module is used to analyze the status information of the cooling fan in the chassis server to obtain the abnormal impact value corresponding to the parameter; the abnormal impact values ​​corresponding to all parameters are weighted to obtain the abnormal comprehensive value; The blockage analysis module is used to analyze the blockage information at the air inlet and outlet of the heat dissipation holes of the chassis server to obtain the total color deviation value of the air inlet and outlet; The environmental analysis module is used to analyze the operating environment data of the chassis server and obtain the total environmental impact coefficient; The comprehensive processing module is used to perform weighted processing on the abnormal comprehensive image value, the color deviation comprehensive mean value, and the total environmental impact coefficient to obtain the cooling fan efficiency coefficient: The heat dissipation efficiency judgment module is used to judge whether the operating heat dissipation status of the chassis server is normal based on the efficiency coefficient of the cooling fan; if it is not in the normal state, the corresponding operation is generated by comparing the abnormal comprehensive image value, the color deviation comprehensive mean value, the total environmental impact coefficient and their corresponding thresholds.

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