Data center energy-saving management system based on data acquisition

Abstract

The invention discloses a data center energy-saving management system based on data acquisition. The data center energy-saving management system comprises a standby power supply acquisition module, a heat dissipation information acquisition module, a data machine room acquisition module, an environment information acquisition module, an equipment information acquisition module, a data processing module and an information sending module, the standby power supply acquisition module is used for acquiring standby power supply related information of the data center; the heat dissipation information acquisition module is used for acquiring heat dissipation related information of the data center; the data machine room acquisition module is used for acquiring data machine room information of a data center; the environment information acquisition module is used for acquiring environment related information of the data center; and the equipment information acquisition module is used for acquiring equipment information of the data center. According to the invention, more comprehensive data center energy-saving management with a higher intelligent degree can be carried out.

Description

Technical Field

[0001] The present invention relates to the field of management systems, and in particular to a data center energy-saving management system based on data collection. Background Art

[0002] A data center is a physical space that centrally processes, stores, transmits, exchanges, and manages information. It is equipped with a variety of key equipment and infrastructure to ensure the security, reliability, and efficient operation of data.

[0003] Data centers are an important part of modern information construction. They integrate various key equipment and infrastructure to provide a safe, reliable and efficient environment for data processing, storage and transmission.

[0004] Energy-saving management of data centers is a comprehensive task involving multiple aspects, aiming to reduce the energy consumption of data centers. In the process of energy-saving management of data centers, data center energy-saving management systems need to be used.

[0005] The existing data center energy-saving management system has a low level of intelligent management and is mostly simple energy-saving control in one aspect. It cannot achieve comprehensive energy-saving management, which has a certain impact on the use of the data center energy-saving management system. Therefore, a data center energy-saving management system based on data collection is proposed. Summary of the invention

[0006] The technical problem to be solved by the present invention is: how to solve the problem that the existing data center energy-saving management system has a low level of management intelligence, is mostly simple energy-saving control in a single aspect, cannot achieve comprehensive energy-saving management, and has a certain impact on the use of the data center energy-saving management system. A data center energy-saving management system based on data collection is provided.

[0007] The present invention solves the above technical problems through the following technical solutions, and the present invention includes a backup power supply acquisition module, a heat dissipation information acquisition module, a data room acquisition module, an environmental information acquisition module, an equipment information acquisition module, a data processing module and an information sending module;

[0008] The backup power supply acquisition module is used to collect information related to the backup power supply of the data center;

[0009] The heat dissipation information collection module is used to collect heat dissipation related information of the data center;

[0010] The data room acquisition module is used to collect data room information of the data center;

[0011] The environmental information collection module is used to collect environmental information related to the data center;

[0012] The device information collection module is used to collect device information of the data center;

[0013] The data processing module is used to process the backup power supply related information, heat dissipation related information, data room information, environment related information and equipment information to obtain the first management information, the second management information, the third management information, the fourth management information and the fifth management information;

[0014] The information sending module is used to send the first management information, the second management information, the third management information, the fourth management information and the fifth management information to a preset receiving terminal after the above information is generated.

[0015] Furthermore, the specific process of obtaining the first management information is as follows:

[0016] Extract and collect information related to the backup power supply, the information related to the backup power supply includes the supply power information and the backup power supply information of the backup power supply;

[0017] The power supply information of the backup power supply includes the current power supply price information of the backup power supply, the current access power source of the backup power supply and the current access power location of the backup power supply;

[0018] The backup power supply information includes the efficiency of the backup power supply under high load, the location of the backup power supply and the backup power supply test information of the backup power supply;

[0019] Process the current power supply price information of the backup power supply to obtain power supply price evaluation parameters;

[0020] Analyze the current access power source of the backup power supply. When the current access power source of the backup power supply is new energy power generation, no information is generated. When the current access power source of the backup power supply is traditional energy power generation, first management information is generated.

[0021] Processing the location where the backup power supply is currently connected to the power supply and the location of the backup power supply to obtain a first power supply evaluation parameter;

[0022] Then, the location of the data center is collected, and the location of the data center and the location of the backup power supply are processed to obtain a second power supply evaluation parameter;

[0023] When any one of the power supply price evaluation parameter, the first power supply evaluation parameter and the second power supply evaluation parameter is abnormal, generating first management information;

[0024] A backup power supply test process is performed on the backup power supply to obtain backup power supply test information, and when the backup power supply test shows that the backup power supply is abnormal, first management information is generated.

[0025] Furthermore, the specific acquisition process and abnormality determination process of the power supply price evaluation parameters are as follows: extract the collected current power supply price information, and then select the three lowest current power supply prices from the power supply market;

[0026] The three lowest current power supply prices are marked as Vmin, Vmin-1 and Vmin-2;

[0027] Calculate the difference between Vmin and Vmin-1 to obtain the first difference;

[0028] Calculate the difference between Vmin-1 and Vmin-2 to obtain the second difference;

[0029] When the first difference is greater than the preset value, the power source corresponding to Vmin is selected as the comparison power source;

[0030] When the first difference and the second difference are both smaller than the preset value, the distances between Vmin, Vmin-1 and Vmin-2 and the backup power supply device are collected, and the power supply corresponding to the minimum distance between Vmin, Vmin-1 and Vmin-2 and the backup power supply device is selected as the comparison power supply, which is marked as Vv;

[0031] When the compared power source is the power source corresponding to Vv, the difference between the current power supply price information and Vv is calculated, that is, the power supply price evaluation parameter is obtained;

[0032] When the power supply price evaluation parameter is greater than the preset value, it indicates that there is an abnormality;

[0033] The acquisition process of the first power supply evaluation parameter and the abnormality evaluation process are as follows:

[0034] Extract the location where the backup power supply is currently connected to the power supply and the location of the backup power supply, import the location where the backup power supply is currently connected to the power supply and the location of the backup power supply into a preset database, retrieve the distance between the location where the backup power supply is currently connected to the power supply and the location of the backup power supply from the database, that is, obtain the first power supply evaluation parameter, when the first evaluation parameter is greater than the preset value, it indicates that there is an abnormality;

[0035] The process of obtaining the second power supply evaluation parameter and the abnormality determination process are as follows:

[0036] The collected data center location and backup power supply location are extracted, and the location of the data center and the location of the backup power supply are imported into a preset database. The distance between the location of the data center and the location of the backup power supply is retrieved from the database to obtain a second power supply evaluation parameter. When the second power supply evaluation parameter is greater than a preset value, it indicates that there is an abnormality.

[0037] Furthermore, the backup power supply is tested and processed, and the specific process of obtaining the backup power supply test information is as follows: the backup power supply is tested for conversion rate to obtain real-time conversion rate information, the real-time conversion rate information is collected once every preset time period, and after collecting continuously for m times, the average of the m times of real-time conversion rate information is calculated, and the backup power supply test information is obtained.

[0038] Furthermore, the second management information acquisition process is as follows:

[0039] Extracting the collected heat dissipation related information, the heat dissipation related information includes heat dissipation efficiency information, heat dissipation device energy consumption information and heat dissipation fan related information of the heat dissipation device;

[0040] Analyze the heat dissipation efficiency information and the heat dissipation device energy consumption information, and generate second management information when the heat dissipation efficiency information is less than a preset value but the heat dissipation device energy consumption information is greater than the preset value;

[0041] The cooling fan related information of the cooling device includes the current control command speed information, the current actual speed and the cooling fan image information;

[0042] Calculate the difference between the current control command speed information and the current actual speed, and obtain the speed difference;

[0043] Then, the cooling fan image information is extracted and processed to obtain the fan evaluation parameters;

[0044] When the rotation speed difference is greater than a preset value and the fan evaluation parameter is less than a preset value, second management information is generated;

[0045] The process of obtaining fan evaluation parameters is as follows: extract the collected cooling fan image information, preset an identification area on the blades of the cooling fan, identify the preset identification area from the cooling fan image information, and after identifying the preset identification area, collect the area of ​​the current preset identification area to obtain the real-time area, and then extract the standard area of ​​the preset identification area, calculate the difference between the standard area of ​​the preset identification area and the real-time area, and obtain the fan evaluation parameters.

[0046] Furthermore, the specific process of obtaining the third management information is as follows:

[0047] Extract the collected data center environmental information, which is the environmental information within a preset range of the data center, including ambient temperature, ambient humidity, and dust concentration in the environment where the cooling fan is located;

[0048] Extracting the ambient temperature information within a preset time period, calculating the average value of the ambient temperature within the preset time period, obtaining the average value of the ambient temperature, and generating third management information when the average value of the ambient temperature is greater than a preset value;

[0049] Extracting the ambient humidity information within a preset time period, calculating the average value of the ambient humidity within the preset time period, obtaining the average value of the ambient humidity, and generating third management information when the average value of the ambient humidity is greater than a preset value;

[0050] The dust concentration of the environment where the heat dissipation fan is located is extracted, and when the dust concentration of the environment where the heat dissipation fan is located is greater than a preset value for a preset time period, the third management information is generated.

[0051] Furthermore, when the average value of the ambient temperature is less than a preset value and the average value of the ambient humidity is also less than a preset value, natural cooling auxiliary management information is generated;

[0052] After the natural cooling auxiliary management information is generated, it is sent to the preset receiving terminal, and the preset receiving terminal is used to retrieve whether the data room is equipped with ventilation equipment;

[0053] When ventilation equipment is installed in the data room, the real-time ambient temperature and humidity are collected. When the real-time ambient temperature and humidity are both lower than the preset value, ventilation control information is generated and sent to the ventilation equipment. At the same time, control information is generated to the cooling equipment in the data room to adjust the cooling equipment in the data room to the lowest power.

[0054] When the real-time ambient temperature is lower than the preset value, but the real-time ambient humidity is higher than the preset value, ventilation control information is generated and sent to the ventilation equipment, and dehumidification information is generated to the dehumidification equipment in the data room to control the dehumidification equipment in the data room to operate and dehumidify;

[0055] If the data center is not equipped with ventilation equipment, no operation will be performed.

[0056] Furthermore, the specific acquisition process of the fourth management information is as follows: extracting the collected data room information, the data room information being the operating status of the lighting equipment in the room and the lighting brightness of the lighting equipment in the room;

[0057] When the operating state of the lighting equipment in the computer room is always on, the fourth management information is generated;

[0058] Then extract the environmental information, which also includes the ambient brightness in the computer room when the lights are off and the ambient brightness outside the computer room;

[0059] When the ambient brightness in the computer room in the non-lit state is greater than the preset value, and the lighting brightness of the lighting equipment in the computer room is greater than the preset value a1, that is, the fourth management information;

[0060] When the brightness of the environment outside the computer room is less than the preset value, but the brightness of the lighting equipment in the computer room is greater than the preset value a2, that is, the fourth management information.

[0061] Furthermore, when the operating state of the lighting equipment in the computer room is a constant light state, fourth management information is generated, and the fourth management information is sent to a preset receiving terminal. The preset receiving terminal detects whether a human sensor or an image acquisition device is set in the computer room. When a human sensor or an image acquisition device is set in the computer room, the lighting equipment intelligent management and control information is generated;

[0062] After the intelligent control information of lighting equipment is generated, the lighting equipment is controlled to be adjusted to the human presence sensing state;

[0063] The specific operation process of a person in the sensing state is as follows:

[0064] When the person in the room does not collect any human information from the sensor or image acquisition device, the lighting device is controlled to enter a dormant state;

[0065] When the imaging device at the entrance of the computer room detects that a person has entered the computer room, the lighting device closest to the entrance will start operating. Then, according to the location of the person in the computer room where the sensor or imaging device collects the information of the person, the lighting device at the corresponding location will be controlled to operate and illuminate.

[0066] When a person leaves the preset range of the lighting device at his location, the lighting device is turned off.

[0067] Furthermore, the specific acquisition process of the fifth management information is as follows: extracting the collected device information, the device information including the placement information of the data storage device, processing the placement information of the data storage device, and acquiring the placement evaluation parameter;

[0068] When the placement evaluation parameter is abnormal, the fifth management information is generated;

[0069] The process of obtaining the placement evaluation parameters and the abnormality determination process are as follows: extracting the collected placement information of the data storage device, the placement information of the data storage device includes the distances to the nearest other devices on the six faces of the front, back, left, right, top and bottom of each storage device;

[0070] Calculate the difference between the distance of the nearest other device and the preset standard distance on the front, back, left, right, top and bottom of a single storage device, and obtain six evaluation differences. If any two or more of the six evaluation differences are less than the preset value, it means that the storage device is an abnormal device;

[0071] Then, the number of abnormal devices is extracted, that is, the placement evaluation parameters are obtained;

[0072] The equipment information also includes the number of abnormal equipment. Abnormal equipment refers to equipment in the computer room other than data processing equipment and storage equipment whose operating temperature is greater than the preset value.

[0073] When the number of abnormal devices is greater than a preset value, fifth management information is generated.

[0074] Compared with the prior art, the present invention has the following advantages: the data center energy-saving management system based on data collection realizes comprehensive energy-saving management of the data center by generating the first management information, the second management information, the third management information, the fourth management information and the fifth management information; the first management information generated realizes intelligent management of the backup power supply of the data center; the intelligent management of the backup power supply realizes energy-saving optimization while also saving electricity funds, so that users have more funds to optimize the overall energy-saving construction of the data center; the second management information generated realizes intelligent management of the heat dissipation related information of the data center, improves the heat dissipation efficiency, and reduces the occurrence of the situation where the heat dissipation efficiency is reduced and the power consumption is increased due to external factors; the third management information generated realizes environmental management of the data center, and further reduces energy consumption; the fourth management information generated realizes intelligent management of the lighting equipment in the computer room, and avoids unnecessary energy consumption caused by lighting; the fifth management information generated realizes equipment placement management of the data center, and ensures that there is sufficient heat dissipation space around the equipment, thereby achieving the purpose of energy saving by reducing the power of the heat dissipation equipment, and then realizing more comprehensive energy-saving management of the data center, making the system more worthy of promotion and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0076] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0077] like Figure 1 As shown, this embodiment provides a technical solution: a data center energy-saving management system based on data collection, including a backup power supply collection module, a heat dissipation information collection module, a data room collection module, an environment information collection module, a device information collection module, a data processing module and an information sending module;

[0078] The backup power supply acquisition module is used to collect information related to the backup power supply of the data center;

[0079] The heat dissipation information collection module is used to collect heat dissipation related information of the data center;

[0080] The data room acquisition module is used to collect data room information of the data center;

[0081] The environmental information collection module is used to collect environmental information related to the data center;

[0082] The device information collection module is used to collect device information of the data center;

[0083] The data processing module is used to process the backup power supply related information, heat dissipation related information, data room information, environment related information and equipment information to obtain the first management information, the second management information, the third management information, the fourth management information and the fifth management information;

[0084] The information sending module is used to send the first management information, the second management information, the third management information, the fourth management information and the fifth management information to a preset receiving terminal after the above information is generated.

[0085] The specific process of obtaining the first management information is as follows:

[0086] Extract and collect information related to the backup power supply, the information related to the backup power supply includes the supply power information and the backup power supply information of the backup power supply;

[0087] The power supply information of the backup power supply includes the current power supply price information of the backup power supply, the current access power source of the backup power supply and the current access power location of the backup power supply;

[0088] The backup power supply information includes the efficiency of the backup power supply under high load, the location of the backup power supply and the backup power supply test information of the backup power supply;

[0089] Process the current power supply price information of the backup power supply to obtain power supply price evaluation parameters;

[0090] Analyze the current access power source of the backup power supply. When the current access power source of the backup power supply is new energy power generation, no information is generated. When the current access power source of the backup power supply is traditional energy power generation, first management information is generated.

[0091] At this time, the first management information is to switch the connected power supply to new energy generation;

[0092] By replacing new energy sources for power generation, we can promote energy conservation and emission reduction and reduce carbon emissions. Traditional energy power generation is often accompanied by higher carbon emissions. Replacing it with renewable energy (such as solar energy, wind energy, etc.) as backup power supply access can significantly reduce the carbon emissions of data centers and help achieve energy conservation and emission reduction goals.

[0093] Improve energy efficiency. Renewable energy generation does not involve the combustion of fossil fuels, so the energy conversion efficiency is relatively high. In data center energy conservation management, by changing energy access, the energy efficiency level of the entire data center can be improved;

[0094] Processing the location where the backup power supply is currently connected to the power supply and the location of the backup power supply to obtain a first power supply evaluation parameter;

[0095] Then, the location of the data center is collected, and the location of the data center and the location of the backup power supply are processed to obtain a second power supply evaluation parameter;

[0096] When any one of the power supply price evaluation parameter, the first power supply evaluation parameter and the second power supply evaluation parameter is abnormal, generating first management information;

[0097] At this time, the specific content of the first management information is to switch the power supply of the backup power supply to use a power supply with a lower price and closer distance as the power supply;

[0098] Performing a backup power supply test on the backup power supply to obtain backup power supply test information, and generating first management information when the backup power supply test shows that the backup power supply is abnormal;

[0099] The specific content of the first management information at this time is to maintain the backup power supply, eliminate the abnormality of the backup power supply or replace the backup power supply.

[0100] The specific acquisition process and abnormality determination process of power supply price evaluation parameters are as follows: extract the collected current power supply price information, and then select the three lowest current power supply prices from the power supply market;

[0101] The three lowest current power supply prices are marked as Vmin, Vmin-1 and Vmin-2;

[0102] Calculate the difference between Vmin and Vmin-1 to obtain the first difference;

[0103] Calculate the difference between Vmin-1 and Vmin-2 to obtain the second difference;

[0104] When the first difference is greater than the preset value, the power source corresponding to Vmin is selected as the comparison power source;

[0105] When the first difference and the second difference are both smaller than the preset value, the distances between Vmin, Vmin-1 and Vmin-2 and the backup power supply device are collected, and the power supply corresponding to the minimum distance between Vmin, Vmin-1 and Vmin-2 and the backup power supply device is selected as the comparison power supply, which is marked as Vv;

[0106] When the compared power source is the power source corresponding to Vv, the difference between the current power supply price information and Vv is calculated, that is, the power supply price evaluation parameter is obtained;

[0107] When the power supply price evaluation parameter is greater than the preset value, it indicates that there is an abnormality;

[0108] Through the above process, the power supply price and power supply distance are fully considered. The lower the power supply price, the more electricity costs users can save to carry out energy-saving construction of data centers. The shorter the power supply distance, the more energy loss caused by long-distance power transmission can be reduced.

[0109] The acquisition process of the first power supply evaluation parameter and the abnormality evaluation process are as follows:

[0110] Extract the location where the backup power supply is currently connected to the power supply and the location of the backup power supply, import the location where the backup power supply is currently connected to the power supply and the location of the backup power supply into a preset database, retrieve the distance between the location where the backup power supply is currently connected to the power supply and the location of the backup power supply from the database, that is, obtain the first power supply evaluation parameter, when the first evaluation parameter is greater than the preset value, it indicates that there is an abnormality;

[0111] Through the above process, the distance between the backup power source and the current access power source of the backup power source can be understood, and then corresponding prompt information is generated to prompt the management personnel whether to change the access power source with a closer location, thereby reducing the transmission loss caused by the long transmission distance;

[0112] The process of obtaining the second power supply evaluation parameter and the abnormality determination process are as follows:

[0113] Extract the collected location of the data center and the location of the backup power supply, import the location of the data center and the location of the backup power supply into a preset database, retrieve the distance between the location of the data center and the location of the backup power supply from the database, and obtain the second power supply evaluation parameter. When the second power supply evaluation parameter is greater than a preset value, it indicates that there is an abnormality;

[0114] Through the above process, the distance between the location of the data center and the location of the backup power supply can be understood, and then corresponding prompt information can be generated to prompt the management personnel whether to move the location of the backup power supply closer to the location of the data center, thereby reducing the transmission loss caused by the long transmission distance.

[0115] The specific process of performing a backup power supply test process on the backup power supply and obtaining the backup power supply test information is as follows: performing a conversion rate test on the backup power supply and obtaining real-time conversion rate information, collecting the real-time conversion rate information once every preset time period, and continuously collecting m times, calculating the average of the m times of real-time conversion rate information, that is, obtaining the backup power supply test information, m ≥ 10;

[0116] By testing the backup power supply, we can find out whether the conversion rate of the backup power supply is qualified.

[0117] The second management information acquisition process is as follows:

[0118] Extracting the collected heat dissipation related information, the heat dissipation related information includes heat dissipation efficiency information, heat dissipation device energy consumption information and heat dissipation fan related information of the heat dissipation device;

[0119] Analyze the heat dissipation efficiency information and the heat dissipation device energy consumption information. When the heat dissipation efficiency information is less than a preset value, but the heat dissipation device energy consumption information is greater than a preset value, generate second management information. At this time, the specific content of the second management information is that the heat dissipation efficiency of the heat dissipation device is abnormal and the energy consumption is too large, and the heat dissipation device needs to be replaced.

[0120] The cooling fan related information of the cooling device includes the current control command speed information, the current actual speed and the cooling fan image information;

[0121] Calculate the difference between the current control command speed information and the current actual speed, and obtain the speed difference;

[0122] Then, the cooling fan image information is extracted and processed to obtain the fan evaluation parameters;

[0123] When the speed difference is greater than the preset value and the fan evaluation parameter is less than the preset value, the second management information is generated. At this time, the specific content of the second management information is that the cooling fan of the cooling device needs to be cleaned to avoid low cooling efficiency and high power consumption;

[0124] The process of obtaining the fan evaluation parameters is as follows: extracting the collected cooling fan image information, presetting a marking area on the blades of the cooling fan, identifying the preset marking area from the cooling fan image information, and after identifying the preset identification area, collecting the area of ​​the current preset identification area to obtain the real-time area, then extracting the standard area of ​​the preset identification area, and calculating the difference between the standard area of ​​the preset identification area and the real-time area, so as to obtain the fan evaluation parameters;

[0125] Through the above process, the heat dissipation efficiency can be optimized: by analyzing the speed of the cooling fan, you can understand its heat dissipation effect under different working conditions. Adjusting the fan speed according to the heat dissipation requirements can ensure that the device runs at the optimal temperature, thereby improving the heat dissipation efficiency.

[0126] Reducing heat dissipation energy consumption and properly controlling the fan speed can reduce unnecessary energy consumption. For example, in a low-load or low-temperature environment, reducing the fan speed can significantly reduce energy consumption, meeting the requirements of green energy saving.

[0127] Too high a fan speed may accelerate bearing wear and shorten the life of the fan. Through speed analysis, you can find the optimal speed point that can meet the heat dissipation requirements and extend the life of the fan.

[0128] The stability of cooling fan speed is crucial to the stable operation of the data center. By real-time monitoring and analysis of the speed, potential cooling problems can be discovered and dealt with in a timely manner to prevent system failures caused by overheating.

[0129] The accumulation of dust will block the fan blades and heat sink, reducing the heat dissipation efficiency. By regularly analyzing the dust accumulation, you can clean the dust in time to keep the heat dissipation channel unobstructed and ensure the heat dissipation effect.

[0130] Dust and dirt not only affect the cooling effect, but may also cause corrosion and wear on the fan bearings and motors. Regular dust removal can extend the service life of the fan and cooling equipment.

[0131] Excessive dust accumulation can cause equipment to overheat, which can lead to safety hazards such as fire. By regularly analyzing dust accumulation and taking measures to clean it up, the overall safety of the data center can be improved.

[0132] In summary, analyzing the speed of the cooling fans of the cooling equipment in the data center and the dust accumulation on the cooling fans can help optimize the cooling efficiency, reduce energy consumption, extend the life of the equipment, improve the system stability and security, and reduce maintenance costs. These benefits are of great significance to ensuring the normal operation of the data center and reducing operating costs.

[0133] The specific process of obtaining the third management information is as follows:

[0134] Extract the collected data center environmental information, which is the environmental information within a preset range of the data center, including ambient temperature, ambient humidity, and dust concentration in the environment where the cooling fan is located;

[0135] Extracting the ambient temperature information within a preset time period, calculating the average value of the ambient temperature within the preset time period, obtaining the average value of the ambient temperature, and generating third management information when the average value of the ambient temperature is greater than a preset value;

[0136] At this time, the specific content of the third management information is that the ambient temperature of the data center is abnormal and the temperature needs to be adjusted to prevent the heat dissipation equipment from running at high power due to the temperature rise in the data center;

[0137] Extracting the ambient humidity information within a preset time period, calculating the average value of the ambient humidity within the preset time period, obtaining the average value of the ambient humidity, and generating third management information when the average value of the ambient humidity is greater than a preset value;

[0138] At this time, the specific content of the third management information is that the humidity of the environment around the data center is abnormal, and the humidity needs to be adjusted to prevent the high power operation of the dehumidification equipment caused by the increase of humidity in the data center;

[0139] Extracting the dust concentration of the environment where the cooling fan is located, and when the dust concentration of the environment where the cooling fan is located is greater than a preset value for a preset period of time, generating third management information;

[0140] At this time, the specific content of the third management information is that the dust concentration in the environment where the cooling fan is located is too high, and dust reduction operations need to be performed to prevent the cooling fan from absorbing too much dust and causing the cooling effect to deteriorate when the fan is running.

[0141] When the average ambient temperature is less than the preset value and the average ambient humidity is also less than the preset value, natural cooling auxiliary management information is generated;

[0142] After the natural cooling auxiliary management information is generated, it is sent to the preset receiving terminal, and the preset receiving terminal is used to retrieve whether the data room is equipped with ventilation equipment;

[0143] When ventilation equipment is installed in the data room, the real-time ambient temperature and humidity are collected. When the real-time ambient temperature and humidity are both lower than the preset value, ventilation control information is generated and sent to the ventilation equipment. At the same time, control information is generated to the cooling equipment in the data room to adjust the cooling equipment in the data room to the lowest power.

[0144] When the real-time ambient temperature is lower than the preset value, but the real-time ambient humidity is higher than the preset value, ventilation control information is generated and sent to the ventilation equipment, and dehumidification information is generated to the dehumidification equipment in the data room to control the dehumidification equipment in the data room to operate and dehumidify;

[0145] Through the above process, when the environmental information is suitable, the natural cooling method is selected to reduce the operating time of the heat dissipation device or reduce the operating power of the heat dissipation device, thereby reducing energy consumption.

[0146] The specific process of obtaining the fourth management information is as follows: extracting the collected data room information, where the data room information is the operating status of the lighting equipment in the room and the lighting brightness of the lighting equipment in the room;

[0147] When the operating state of the lighting equipment in the computer room is always on, the fourth management information is generated;

[0148] Then extract the environmental information, which also includes the ambient brightness in the computer room when the lights are off and the ambient brightness outside the computer room;

[0149] When the ambient brightness in the computer room in the non-lighting state is greater than the preset value, and the lighting brightness of the lighting equipment in the computer room is greater than the preset value a1, that is, the fourth management information, the specific content of the fourth management information at this time is to control the lighting brightness of the lighting equipment to be lowered;

[0150] When the external environment brightness of the computer room is less than the preset value, but the lighting brightness of the lighting equipment in the computer room is greater than the preset value a2, that is, the fourth management information, the specific content of the fourth management information at this time controls the lighting brightness of the lighting equipment to be lowered;

[0151] a1>a2.

[0152] When the operating state of the lighting equipment in the computer room is always on, the fourth management information is generated, and the fourth management information is sent to a preset receiving terminal. The preset receiving terminal detects whether a human sensor or an image acquisition device is set in the computer room. When a human sensor or an image acquisition device is set in the computer room, the lighting equipment intelligent management and control information is generated;

[0153] After the intelligent control information of lighting equipment is generated, the lighting equipment is controlled to be adjusted to the human presence sensing state;

[0154] The specific operation process of a person in the sensing state is as follows:

[0155] When the sensor or image acquisition device does not collect any human information in the room, the lighting equipment is controlled to enter the sleep state;

[0156] When the imaging device at the entrance of the computer room detects that a person has entered the computer room, the lighting device closest to the entrance will start operating. Then, according to the location of the person in the computer room where the sensor or imaging device collects the information of the person, the lighting device at the corresponding location will be controlled to operate and illuminate.

[0157] When a person leaves the preset range of the lighting device at his location, the lighting device is turned off;

[0158] Through the above process, the energy consumption caused by turning on the lighting equipment for a long time when no one is in the data center can be reduced.

[0159] The specific process of obtaining the fifth management information is as follows: extracting the collected device information, the device information including the placement information of the data storage device, processing the placement information of the data storage device, and obtaining the placement evaluation parameter;

[0160] When the placement evaluation parameter is abnormal, the fifth management information is generated;

[0161] The process of obtaining the placement evaluation parameters and the abnormality determination process are as follows: extracting the collected placement information of the data storage device, the placement information of the data storage device includes the distances to the nearest other devices on the six faces of the front, back, left, right, top and bottom of each storage device;

[0162] Calculate the difference between the distance of the nearest other device and the preset standard distance on the front, back, left, right, top and bottom of a single storage device, and obtain six evaluation differences. If any two or more of the six evaluation differences are less than the preset value, it means that the storage device is an abnormal device;

[0163] Then, the number of abnormal devices is extracted, that is, the placement evaluation parameters are obtained;

[0164] The equipment information also includes the number of abnormal equipment. Abnormal equipment refers to equipment in the computer room other than data processing equipment and storage equipment whose operating temperature is greater than the preset value.

[0165] When the number of abnormal devices is greater than a preset value, fifth management information is generated;

[0166] The specific content of the fifth management information is that the location of the data storage device needs to be adjusted to avoid placing it in a location with poor heat dissipation, which will cause heat accumulation to increase the temperature of the data center and require the heat dissipation device to run at a higher power to cool down.

[0167] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0168] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0169] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A data center energy-saving management system based on data collection, characterized in that: It includes backup power supply acquisition module, heat dissipation information acquisition module, data room acquisition module, environment information acquisition module, equipment information acquisition module, data processing module and information sending module; The backup power supply acquisition module is used to collect information related to the backup power supply of the data center; The heat dissipation information collection module is used to collect heat dissipation related information of the data center; The data room acquisition module is used to collect data room information of the data center; The environmental information collection module is used to collect environmental information related to the data center; The device information collection module is used to collect device information of the data center; The data processing module is used to process the backup power supply related information, heat dissipation related information, data room information, environment related information and equipment information to obtain the first management information, the second management information, the third management information, the fourth management information and the fifth management information; The information sending module is used to send the first management information, the second management information, the third management information, the fourth management information and the fifth management information to a preset receiving terminal after the above information is generated.

2. According to claim 1, a data center energy-saving management system based on data collection is characterized in that: The specific process of obtaining the first management information is as follows: Extract and collect information related to the backup power supply, the information related to the backup power supply includes the supply power information and the backup power supply information of the backup power supply; The power supply information of the backup power supply includes the current power supply price information of the backup power supply, the current access power source of the backup power supply and the current access power location of the backup power supply; The backup power supply information includes the efficiency of the backup power supply under high load, the location of the backup power supply and the backup power supply test information of the backup power supply; Process the current power supply price information of the backup power supply to obtain power supply price evaluation parameters; Analyze the current access power source of the backup power supply. When the current access power source of the backup power supply is new energy power generation, no information is generated. When the current access power source of the backup power supply is traditional energy power generation, first management information is generated. Processing the location where the backup power supply is currently connected to the power supply and the location of the backup power supply to obtain a first power supply evaluation parameter; Then, the location of the data center is collected, and the location of the data center and the location of the backup power supply are processed to obtain a second power supply evaluation parameter; When any one of the power supply price evaluation parameter, the first power supply evaluation parameter and the second power supply evaluation parameter is abnormal, generating first management information; A backup power supply test process is performed on the backup power supply to obtain backup power supply test information, and when the backup power supply test shows that the backup power supply is abnormal, first management information is generated.

3. According to claim 2, a data center energy-saving management system based on data collection is characterized in that: The specific acquisition process and abnormality determination process of power supply price evaluation parameters are as follows: extract the collected current power supply price information, and then select the three lowest current power supply prices from the power supply market; The three lowest current power supply prices are marked as Vmin, Vmin-1 and Vmin-2; Calculate the difference between Vmin and Vmin-1 to obtain the first difference; Calculate the difference between Vmin-1 and Vmin-2 to obtain the second difference; When the first difference is greater than the preset value, the power source corresponding to Vmin is selected as the comparison power source; When the first difference and the second difference are both smaller than the preset value, the distances between Vmin, Vmin-1 and Vmin-2 and the backup power supply device are collected, and the power supply corresponding to the minimum distance between Vmin, Vmin-1 and Vmin-2 and the backup power supply device is selected as the comparison power supply, which is marked as Vv; When the compared power source is the power source corresponding to Vv, the difference between the current power supply price information and Vv is calculated, that is, the power supply price evaluation parameter is obtained; When the power supply price evaluation parameter is greater than the preset value, it indicates that there is an abnormality; The acquisition process of the first power supply evaluation parameter and the abnormality evaluation process are as follows: Extract the location where the backup power supply is currently connected to the power supply and the location of the backup power supply, import the location where the backup power supply is currently connected to the power supply and the location of the backup power supply into a preset database, retrieve the distance between the location where the backup power supply is currently connected to the power supply and the location of the backup power supply from the database, that is, obtain the first power supply evaluation parameter, when the first evaluation parameter is greater than the preset value, it indicates that there is an abnormality; The process of obtaining the second power supply evaluation parameter and the abnormality determination process are as follows: The collected data center location and backup power supply location are extracted, and the location of the data center and the location of the backup power supply are imported into a preset database. The distance between the location of the data center and the location of the backup power supply is retrieved from the database to obtain a second power supply evaluation parameter. When the second power supply evaluation parameter is greater than a preset value, it indicates that there is an abnormality.

4. The data center energy-saving management system based on data collection according to claim 2 is characterized in that: The specific process of performing a backup power supply test on the backup power supply and obtaining the backup power supply test information is as follows: performing a conversion rate test on the backup power supply to obtain real-time conversion rate information, collecting the real-time conversion rate information once every preset time period, and after collecting it continuously for m times, calculating the average of the m times of real-time conversion rate information, that is, obtaining the backup power supply test information.

5. The data center energy-saving management system based on data collection according to claim 1 is characterized in that: The second management information acquisition process is as follows: Extracting the collected heat dissipation related information, the heat dissipation related information includes heat dissipation efficiency information, heat dissipation device energy consumption information and heat dissipation fan related information of the heat dissipation device; Analyze the heat dissipation efficiency information and the heat dissipation device energy consumption information, and generate second management information when the heat dissipation efficiency information is less than a preset value but the heat dissipation device energy consumption information is greater than the preset value; The cooling fan related information of the cooling device includes the current control command speed information, the current actual speed and the cooling fan image information; Calculate the difference between the current control command speed information and the current actual speed, and obtain the speed difference; Then, the cooling fan image information is extracted and processed to obtain the fan evaluation parameters; When the rotation speed difference is greater than a preset value and the fan evaluation parameter is less than a preset value, second management information is generated; The process of obtaining fan evaluation parameters is as follows: extract the collected cooling fan image information, preset an identification area on the blades of the cooling fan, identify the preset identification area from the cooling fan image information, and after identifying the preset identification area, collect the area of ​​the current preset identification area to obtain the real-time area, and then extract the standard area of ​​the preset identification area, calculate the difference between the standard area of ​​the preset identification area and the real-time area, and obtain the fan evaluation parameters.

6. The data center energy-saving management system based on data collection according to claim 1 is characterized in that: The specific process of obtaining the third management information is as follows: Extract the collected data center environmental information, which is the environmental information within a preset range of the data center, including ambient temperature, ambient humidity, and dust concentration in the environment where the cooling fan is located; Extracting the ambient temperature information within a preset time period, calculating the average value of the ambient temperature within the preset time period, obtaining the average value of the ambient temperature, and generating third management information when the average value of the ambient temperature is greater than a preset value; Extracting the ambient humidity information within a preset time period, calculating the average value of the ambient humidity within the preset time period, obtaining the average value of the ambient humidity, and generating third management information when the average value of the ambient humidity is greater than a preset value; The dust concentration of the environment where the heat dissipation fan is located is extracted, and when the dust concentration of the environment where the heat dissipation fan is located is greater than a preset value for a preset period of time, the third management information is generated.

7. The data center energy-saving management system based on data collection according to claim 6 is characterized in that: When the average ambient temperature is less than the preset value and the average ambient humidity is also less than the preset value, natural cooling auxiliary management information is generated; After the natural cooling auxiliary management information is generated, it is sent to the preset receiving terminal, and the preset receiving terminal is used to retrieve whether the data room is equipped with ventilation equipment; When ventilation equipment is installed in the data room, the real-time ambient temperature and humidity are collected. When the real-time ambient temperature and humidity are both lower than the preset value, ventilation control information is generated and sent to the ventilation equipment. At the same time, control information is generated to the cooling equipment in the data room to adjust the cooling equipment in the data room to the lowest power. When the real-time ambient temperature is lower than the preset value, but the real-time ambient humidity is higher than the preset value, ventilation control information is generated and sent to the ventilation equipment, and dehumidification information is generated to the dehumidification equipment in the data room to control the dehumidification equipment in the data room to operate for dehumidification.

8. The data center energy-saving management system based on data collection according to claim 1, characterized in that: The specific process of obtaining the fourth management information is as follows: extracting the collected data room information, where the data room information is the operating status of the lighting equipment in the room and the lighting brightness of the lighting equipment in the room; When the operating state of the lighting equipment in the computer room is always on, the fourth management information is generated; Then extract the environmental information, which also includes the ambient brightness in the computer room when the lights are off and the ambient brightness outside the computer room; When the ambient brightness in the computer room in the non-lit state is greater than the preset value, and the lighting brightness of the lighting equipment in the computer room is greater than the preset value a1, that is, the fourth management information; When the external environment brightness of the computer room is less than the preset value, but the lighting brightness of the lighting equipment in the computer room is greater than the preset value a2, that is, the fourth management information.

9. The data center energy-saving management system based on data collection according to claim 1, characterized in that: When the operating state of the lighting equipment in the computer room is always on, the fourth management information is generated, and the fourth management information is sent to a preset receiving terminal. The preset receiving terminal detects whether a human sensor or an image acquisition device is set in the computer room. When a human sensor or an image acquisition device is set in the computer room, the lighting equipment intelligent management and control information is generated; After the intelligent control information of lighting equipment is generated, the lighting equipment is controlled to be adjusted to the human presence sensing state; The specific operation process of a person in the sensing state is as follows: When the sensor or image acquisition device does not collect any human information in the room, the lighting equipment is controlled to enter the sleep state; When the imaging device at the entrance of the computer room detects that a person has entered the computer room, the lighting device closest to the entrance will start operating. Then, according to the location of the person in the computer room where the sensor or imaging device collects the information of the person, the lighting device at the corresponding location will be controlled to operate and illuminate. When a person leaves the preset range of the lighting device at his location, the lighting device is turned off.

10. The data center energy-saving management system based on data collection according to claim 1, characterized in that: The specific process of obtaining the fifth management information is as follows: extracting the collected device information, the device information including the placement information of the data storage device, processing the placement information of the data storage device, and obtaining the placement evaluation parameter; When the placement evaluation parameter is abnormal, the fifth management information is generated; The process of obtaining the placement evaluation parameters and the abnormality determination process are as follows: extracting the collected placement information of the data storage device, the placement information of the data storage device includes the distances to the nearest other devices on the six faces of the front, back, left, right, top and bottom of each storage device; Calculate the difference between the distance of the nearest other device and the preset standard distance on the front, back, left, right, top and bottom of a single storage device, and obtain six evaluation differences. If any two or more of the six evaluation differences are less than the preset value, it means that the storage device is an abnormal device; Then, the number of abnormal devices is extracted, that is, the placement evaluation parameters are obtained; The equipment information also includes the number of abnormal equipment. Abnormal equipment refers to equipment in the computer room other than data processing equipment and storage equipment whose operating temperature is greater than the preset value. When the number of abnormal devices is greater than a preset value, fifth management information is generated.

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