CN114371742A - Temperature regulation and control method and device and storage medium - Google Patents
Temperature regulation and control method and device and storage medium Download PDFInfo
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Abstract
The application provides a temperature regulation method, a temperature regulation device and a storage medium, wherein at least one of the working performance of equipment in a machine room, the temperature data in the machine room, the working efficiency of a refrigeration air conditioner and the ambient temperature data outside the machine room is monitored, big data analysis is carried out according to at least one of the monitored working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room, a temperature regulation strategy is formulated according to an analysis result and the refrigerating capacity of the refrigeration air conditioner, and the working efficiency of the refrigeration air conditioner is regulated according to the temperature regulation strategy; the method for analyzing the big data is used for determining the temperature regulation and control strategy, and dynamically regulating and controlling the refrigeration air conditioner according to various different conditions in the machine room in real time, so that the accuracy of temperature regulation and control is improved, the power consumption of equipment in the machine room is reduced, the operation and maintenance cost is reduced, and the working stability of the equipment in the machine room is improved.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to a method and an apparatus for regulating and controlling temperature, and a storage medium.
Background
With the development of internet technology, the requirements for the working stability of a machine room for processing various information and storing network data are higher and higher, the existing machine room is large in scale, multiple in equipment and high in energy consumption, and electronic equipment such as a server and the like working in the machine room easily generates a phenomenon of local overheating of the equipment due to poor heat dissipation in the working process, so that the normal work of the equipment in the machine room is influenced. Traditional computer lab is in order to adjust the interior temperature of computer lab, generally adopts and adjusts the refrigeration power of computer lab refrigeration plant like the interior air conditioner of computer lab or increase refrigeration air conditioner's quantity through manual control to rely on the artificial method of controlling air conditioner operating condition of staff to control the regulation to the temperature of computer lab, this kind of traditional temperature regulation and control mode power consumption is big, with high costs, inefficiency, and temperature regulation's poor stability, can not maintain the temperature demand of computer lab steady operation effectively.
Disclosure of Invention
In view of this, one of the technical problems solved by the embodiments of the present application is to provide a temperature regulation method, a temperature regulation device, and a temperature regulation device, which are used for regulating the working state of an air conditioner in a machine room in real time, so as to reduce the power consumption and manpower requirements, reduce the cost, improve the refrigeration efficiency, and effectively ensure the temperature requirement for stable operation of the devices in the machine room.
In a first aspect, an embodiment of the present application provides a temperature regulation and control method, configured to regulate and control an ambient temperature in a machine room, including:
monitoring at least one of the working performance of equipment in the machine room, temperature data in the machine room, the working efficiency of a refrigeration air conditioner and the ambient temperature data outside the machine room;
performing big data analysis on at least one item of monitored data of the working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room, and formulating a temperature regulation and control strategy according to the analysis result of the big data analysis and the refrigerating capacity of the refrigeration air conditioner;
and adjusting the working efficiency of the refrigeration air conditioner according to the temperature regulation and control strategy.
Optionally, in an embodiment of the present application, a big data analysis is performed on at least one of the monitored working performance of the device in the machine room, the monitored temperature data in the machine room, the monitored working efficiency of the refrigeration air conditioner, and the monitored ambient temperature data outside the machine room, and a temperature regulation and control strategy is formulated according to an analysis result of the big data analysis and the monitored refrigerating capacity of the refrigeration air conditioner, including:
performing big data analysis on at least one item of monitored data of the working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of a refrigeration air conditioner and the ambient temperature data outside the machine room;
determining a temperature regulation function in the machine room according to the big data analysis result and the refrigerating capacity of the refrigerating air conditioner; and formulating the temperature regulation strategy according to the temperature regulation function.
Optionally, in an embodiment of the present application, the temperature regulation method further includes:
performing visual display on at least one of the working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room;
and controlling the working efficiency of the refrigeration air conditioner in the machine room according to the visual display result.
Optionally, in an embodiment of the present application, the temperature regulation method further includes: and according to the result of the big data analysis, a warning strategy in the machine room is formulated, and early warning is carried out according to the warning strategy.
Optionally, in an embodiment of the present application, the performing big data analysis on at least one of the monitored working performance of the equipment in the machine room, the monitored temperature data in the machine room, the monitored working efficiency of the refrigeration air conditioner, and the monitored environmental temperature data outside the machine room includes: establishing a mapping synchronization chart of at least one of working performance of equipment in a machine room, working efficiency of a refrigeration air conditioner and temperature data of the external environment of the machine room and the temperature data in the machine room; and carrying out big data analysis on the mapping synchronous chart.
Based on the first aspect of the present application, an embodiment of the present application further provides a temperature control device, including: the system comprises a monitoring module, a decision-making module and a regulation and control module;
the monitoring module is used for monitoring at least one of the working performance of equipment in the machine room, temperature data in the machine room, the working efficiency of a refrigeration air conditioner and the ambient temperature data outside the machine room;
the decision module is used for carrying out big data analysis on at least one item of monitored data of the working performance of equipment in the machine room, temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room, and making a temperature regulation and control strategy according to the analysis result of the big data analysis and the refrigerating capacity of the refrigeration air conditioner;
and the regulation and control module is used for regulating the working efficiency of the refrigeration air conditioner according to the temperature regulation and control strategy.
Optionally, in an embodiment of the application, the decision module is further configured to perform big data analysis on at least one of the monitored working performance of the device in the machine room, the monitored temperature data in the machine room, the monitored working efficiency of the refrigeration air conditioner, and the monitored ambient temperature data outside the machine room, determine a temperature regulation and control function in the machine room according to a big data analysis result and the monitored refrigerating capacity of the refrigeration air conditioner, and formulate the temperature regulation and control strategy according to the temperature regulation and control function.
Optionally, in an embodiment of the present application, the temperature regulation device further includes: a display module;
the display module is used for displaying at least one of the working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room, and controlling the working efficiency of the intelligent equipment in the machine room according to the displayed result.
Optionally, in an embodiment of the present application, the temperature regulation and control device further includes an early warning module;
and according to the result of the big data analysis, a warning strategy in the machine room is formulated, and early warning is carried out according to the warning strategy.
An embodiment of the present application further provides a storage medium, where a computer program is stored on the storage medium, and when the processor executes the computer program stored on the storage medium, the temperature control method according to the first aspect of the present application is implemented.
The embodiment of the application provides a temperature regulation and control method, which comprises the steps of monitoring at least one of the working performance of equipment in a machine room, the temperature data in the machine room, the working efficiency of a refrigeration air conditioner and the ambient temperature data outside the machine room, carrying out big data analysis on at least one of the working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room, making a temperature regulation and control strategy according to the analysis result of the big data analysis and the refrigerating capacity of the refrigeration air conditioner, regulating the working efficiency of the refrigeration air conditioner according to the temperature regulation and control strategy, dynamically regulating and controlling the refrigeration air conditioner according to various different conditions in the machine room in real time by using a big data analysis method, improving the accuracy of temperature regulation and control, reducing the power consumption of the equipment and reducing the operation and maintenance cost, the working stability of the equipment in the machine room is improved.
Drawings
Some specific embodiments of the present application will be described in detail hereinafter by way of illustration and not limitation with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the drawings:
fig. 1 is a flowchart of a temperature control method according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a temperature control device according to an embodiment of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application, and the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application shall fall within the scope of the embodiments in the present application.
The first embodiment,
An embodiment of the present application provides a temperature regulation method, as shown in fig. 1, fig. 1 is a flowchart of the temperature regulation method provided in the embodiment of the present application, where the temperature regulation method is used for regulating and controlling an ambient temperature in a machine room in real time, and includes:
s101, monitoring at least one of working performance of equipment in the machine room, temperature data in the machine room, working efficiency of a refrigeration air conditioner and ambient temperature data outside the machine room.
In an actual application scenario of this embodiment, the factors affecting the temperature in the machine room include: when the workload of the server is large or the amount of the processed service data is large, the current power consumption of the server or network operation equipment in other machine rooms is large, and large thermal radiation is generated to influence the current temperature in the machine rooms, so that the working performance of other equipment in the machine rooms is influenced; the factors influencing the temperature in the machine room also include the current actual temperature data in the machine room, the working efficiency of the refrigeration equipment such as a refrigeration air conditioner and the like. In one application scenario, the working efficiency of the refrigeration air conditioner, such as the supply air temperature and the return air temperature of the refrigeration air conditioner, is the most important factor affecting the temperature in the machine room. Other factors affecting the temperature in the machine room also include temperature data of the environment outside the machine room, which are important factors seriously affecting the temperature change in the machine room. In this embodiment, in order to comprehensively and accurately analyze the influence of various factors on the temperature in the machine room, at least one item of data of the temperature influencing factors can be monitored and recorded in real time, so as to regulate and control the temperature of the machine room more accurately.
S102, carrying out big data analysis on at least one item of monitored data of the working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room, and formulating a temperature regulation and control strategy according to an analysis result of the big data analysis and the refrigerating capacity of the refrigeration air conditioner.
In an actual application scenario of this embodiment, big data analysis is performed on at least one item of monitored data having an influence on temperature, the influence efficiency of the at least one item of data on the temperature in the machine room is determined according to a big data analysis result, and a regulation and control strategy for the temperature in the machine room is determined by combining the refrigerating capacity of the refrigeration air conditioner.
Optionally, in an actual application scenario of this embodiment, big data analysis is performed on at least one item of data, the big data analysis may be performed on a processor or a server that is locally stored, or the big data analysis may be performed through a remote platform such as a cloud data processing platform, so that better flexibility and convenience are provided when the big data analysis is performed.
Optionally, in an implementation manner of this embodiment, a big data analysis is performed on at least one of the monitored working performance of the device in the machine room, the monitored temperature data in the machine room, the monitored working efficiency of the refrigeration air conditioner, and the monitored ambient temperature data outside the machine room, and a temperature regulation and control strategy is formulated according to an analysis result of the big data analysis and the monitored refrigerating capacity of the refrigeration air conditioner, including:
performing big data analysis on at least one item of monitored data of the working performance of equipment in the machine room, temperature data in the machine room, the working efficiency of a refrigeration air conditioner and the ambient temperature data outside the machine room, and determining a temperature regulation function in the machine room according to the big data analysis result and the refrigerating capacity of the refrigeration air conditioner; and formulating the temperature regulation strategy according to the temperature regulation function.
In this embodiment, for accurate definite temperature regulation and control strategy, can synthesize big data analysis result and refrigeration air conditioner's refrigerating capacity, confirm the temperature regulation and control function in the current computer lab, appoint temperature regulation and control strategy according to the temperature regulation and control function that confirms to simplify the process of making temperature regulation and control strategy, improve user's convenience in utilization and experience.
S103, adjusting the working efficiency of the refrigeration air conditioner according to the temperature regulation strategy.
In this embodiment, after the temperature regulation and control strategy is specified, the working efficiency of the refrigeration air conditioner is adjusted to adjust the temperature in the machine room according to the temperature regulation and control strategy, for example, when the temperature in the machine room is greater than or equal to a preset temperature value, the working efficiency of the refrigeration air conditioner is increased, or when the service processing capacity or load of the server is greater than or equal to a threshold value, the working efficiency of the refrigeration air conditioner is increased, so that the accurate regulation and control of the refrigeration air conditioner is realized.
Optionally, in an actual application scenario of this embodiment, the preset temperature value and/or the threshold value may be set in multiple stages or intervals, for example, the preset temperature value is set to multiple preset temperatures including a first sub-preset temperature value, a second sub-preset temperature value, and the like, and correspondingly, the first sub-preset temperature value, the second sub-preset temperature value, and the like correspond to corresponding adjustment strategies for the working efficiency of the refrigeration air conditioner. In this embodiment, the service throughput threshold or the load threshold of the server may also be set to include a manner that a plurality of sub-threshold values take values in sub-intervals, and a refrigeration air conditioner working efficiency adjustment strategy corresponding to the sub-threshold values or the sub-interval threshold values is correspondingly set, so that more accurate and reliable temperature regulation of the machine room is realized, and the temperature stability of the machine room is further improved. Of course, the embodiment is only exemplary to illustrate the specified temperature regulation strategy, and does not represent that the application is limited thereto.
Optionally, in an implementation manner of the embodiment, the temperature regulation method further includes:
and performing visual display on at least one of the working performance of equipment in the machine room, the temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room, and controlling the working efficiency of the refrigeration air conditioner in the machine room according to the visual display result.
In an implementation of this embodiment, adjust the temperature for more accurate and timely, can also carry out visual display to the performance of monitoring equipment in the computer lab, temperature data in the computer lab, at least one in the work efficiency of refrigeration air conditioner and the outside environment temperature data of computer lab, for example, the performance of equipment such as the server in the real-time display computer lab is like load data, and the operating personnel can adjust control the work efficiency of air conditioner in advance according to this load data, with the temperature variation condition in the further control computer lab, improve the stability of the operating condition of equipment in the computer lab. The present embodiment is only an exemplary embodiment of visually displaying and controlling the working efficiency of the refrigeration and air-conditioning system in the machine room according to the visual display result, and does not represent that the present application is limited thereto.
Optionally, in an embodiment of the present application, the temperature regulation method further includes: and according to the result of the big data analysis, a warning strategy in the machine room is formulated, and early warning is carried out according to the warning strategy.
In an implementation manner of the embodiment, a warning strategy in the machine room can be formulated according to the analysis result of the big data, for example, the power of the cooling air conditioner in the machine room has reached the maximum currently, but the temperature in the machine room is still high, and a warning strategy of the temperature in the machine room for winning can be formulated according to the situation to give an early warning.
Optionally, in an actual application scenario of this embodiment, the early warning policy may perform early warning through a short message, a mailbox, or a system prompt, and notify the operation and maintenance personnel of the machine room to perform maintenance in time.
Optionally, in an implementation manner of the embodiment, the performing big data analysis on at least one of the monitored working performance of the device in the machine room, the monitored temperature data in the machine room, the monitored working efficiency of the refrigeration and air-conditioning system, and the monitored ambient temperature data outside the machine room includes: establishing a mapping synchronization chart of at least one of working performance of equipment in a machine room, working efficiency of a refrigeration air conditioner and temperature data of the external environment of the machine room and the temperature data in the machine room; and carrying out big data analysis on the mapping synchronous chart.
In an actual application scenario of this embodiment, in order to improve efficiency and accuracy of big data analysis, a mapping synchronization chart of a corresponding relationship between at least one of working performance of equipment in a machine room, working efficiency of a refrigeration air conditioner, and temperature data of an external environment of the machine room and the temperature data in the machine room at the current moment may be established, and when big data analysis is performed, only the mapping chart needs to be analyzed, so that a result of big data analysis is quickly and conveniently obtained.
In an implementation manner of this embodiment, when a plurality of devices such as a plurality of servers are installed in a computer room, the working performance data of the plurality of servers, such as server load, traffic, working efficiency of a refrigeration air conditioner, and the like, may be subjected to parallel comparison on the influence factors on the temperature in the computer room, or the working performance data of the devices in different computer rooms, the working efficiency of the refrigeration air conditioner, the temperature in the computer room, and the like, and the device aging, the device failure, and the like may be monitored, pre-warned, and checked according to the parallel comparison results.
In the temperature control method provided by this embodiment, at least one of the working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room is monitored to perform big data analysis, a temperature control strategy is formulated according to the analysis result of the big data analysis and the refrigerating capacity of the refrigeration air conditioner, the working efficiency of the refrigeration air conditioner is adjusted according to the temperature control strategy, and the dynamic control of the refrigeration air conditioner is performed according to various conditions in the machine room in real time by using a big data analysis method, so that the power consumption and the labor cost are effectively reduced, and the accuracy and the temperature control efficiency of the temperature control are improved, stably maintains the temperature requirement required by the equipment in the machine room
The second embodiment,
Based on the temperature regulation method in the first embodiment of the present application, the second embodiment of the present application provides a temperature regulation device, as shown in fig. 2, fig. 2 is a schematic structural diagram of the temperature regulation device provided in the first embodiment of the present application, and the temperature regulation device includes: a monitoring module 201, a decision module 202 and a regulation module 203;
the monitoring module 201 is configured to monitor at least one of the working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of the refrigeration air conditioner, and the ambient temperature data outside the machine room;
the decision module 202 is configured to perform big data analysis on at least one of the monitored working performance of the equipment in the machine room, the monitored temperature data in the machine room, the monitored working efficiency of the refrigeration air conditioner, and the monitored ambient temperature data outside the machine room, and make a temperature regulation and control strategy according to an analysis result of the big data analysis and the monitored refrigerating capacity of the refrigeration air conditioner;
and the regulation and control module 203 is used for regulating the working efficiency of the refrigeration air conditioner according to the temperature regulation and control strategy.
Optionally, in an implementation manner of the embodiment, the decision module 202 is further configured to perform big data analysis on at least one of the monitored working performance of the device in the machine room, the monitored temperature data in the machine room, the monitored working efficiency of the refrigeration air conditioner, and the monitored ambient temperature data outside the machine room, determine a temperature regulation and control function in the machine room according to a result of the big data analysis and the monitored refrigerating capacity of the refrigeration air conditioner, and formulate the temperature regulation and control strategy according to the temperature regulation and control function.
Optionally, in an implementation manner of the embodiment, the temperature regulation device further includes: a display module;
the display module is used for displaying at least one of the working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room, and controlling the working efficiency of the intelligent equipment in the machine room according to the displayed result.
Optionally, in an implementation manner of the embodiment, the temperature regulation and control device further includes an early warning module;
the early warning module is used for formulating a warning strategy in the machine room according to the result of the big data analysis and carrying out early warning according to the warning strategy.
Optionally, in an implementation manner of this embodiment, the decision module 203 is further configured to include: and establishing a mapping synchronization chart of at least one of the working performance of equipment in the machine room, the working efficiency of a refrigeration air conditioner and the external environment temperature data of the machine room and the temperature data in the machine room, and carrying out big data analysis on the mapping synchronization chart.
The temperature control device provided by this embodiment monitors at least one of the working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room by setting the monitoring module; a decision-making module is arranged for carrying out big data analysis on at least one item of monitored data of the working performance of equipment in the machine room, temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room, and a temperature regulation and control strategy is formulated according to the analysis result of the big data analysis and the refrigerating capacity of the refrigeration air conditioner; and setting a regulation and control module to regulate the working efficiency of the refrigeration air conditioner according to the temperature regulation and control strategy. Different functions of the temperature regulation and control device are processed in a partition mode, dynamic regulation and control are carried out on the refrigeration air conditioner according to various different conditions in the machine room in real time in a big data analysis mode, accuracy of temperature regulation and control is effectively improved, operation is convenient and simple, labor cost required by operation and maintenance of the machine room is reduced, and working stability of equipment in the machine room is improved.
Example III,
Based on the foregoing embodiments to provide a temperature control method, this embodiment provides a computer storage medium, where a computer program is stored on the storage medium, and when the processor executes the computer program stored on the storage medium, the temperature control method according to the first embodiment of the present application is implemented, including but not limited to: monitoring at least one of the working performance of equipment in the machine room, temperature data in the machine room, the working efficiency of a refrigeration air conditioner and the ambient temperature data outside the machine room;
performing big data analysis on at least one item of monitored data of the working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room, and formulating a temperature regulation and control strategy according to the analysis result of the big data analysis and the refrigerating capacity of the refrigeration air conditioner;
and adjusting the working efficiency of the refrigeration air conditioner according to the temperature regulation and control strategy.
Optionally, in an implementation manner of this embodiment, a big data analysis is performed on at least one of the monitored working performance of the device in the machine room, the monitored temperature data in the machine room, the monitored working efficiency of the refrigeration air conditioner, and the monitored ambient temperature data outside the machine room, and a temperature regulation and control strategy is formulated according to an analysis result of the big data analysis and the monitored refrigerating capacity of the refrigeration air conditioner, including:
performing big data analysis on at least one item of monitored data of the working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of a refrigeration air conditioner and the ambient temperature data outside the machine room;
determining a temperature regulation function in the machine room according to the big data analysis result and the refrigerating capacity of the refrigerating air conditioner; and formulating the temperature regulation strategy according to the temperature regulation function.
Optionally, in an implementation manner of this embodiment, the temperature regulation method further includes:
performing visual display on at least one of the working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room;
and controlling the working efficiency of the refrigeration air conditioner in the machine room according to the visual display result.
Optionally, in an embodiment of the present application, the temperature regulation method further includes: and according to the result of the big data analysis, a warning strategy in the machine room is formulated, and early warning is carried out according to the warning strategy.
Optionally, in an implementation manner of this embodiment, the performing big data analysis on at least one of the monitored working performance of the device in the machine room, the monitored temperature data in the machine room, the monitored working efficiency of the refrigeration air conditioner, and the monitored environmental temperature data outside the machine room includes:
establishing a mapping synchronization chart of at least one of working performance of equipment in a machine room, working efficiency of a refrigeration air conditioner and temperature data of the external environment of the machine room and the temperature data in the machine room; and carrying out big data analysis on the mapping synchronous chart.
Thus, particular embodiments of the present subject matter have been described. Other embodiments are within the scope of the following claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may be advantageous.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular transactions or implement particular abstract data types. The application may also be practiced in distributed computing environments where transactions are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A temperature regulation and control method is used for regulating and controlling the environmental temperature in a machine room, and is characterized by comprising the following steps:
monitoring at least one of the working performance of equipment in the machine room, temperature data in the machine room, the working efficiency of a refrigeration air conditioner and the ambient temperature data outside the machine room;
performing big data analysis on at least one item of monitored data of the working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room, and formulating a temperature regulation and control strategy according to the analysis result of the big data analysis and the refrigerating capacity of the refrigeration air conditioner;
and adjusting the working efficiency of the refrigeration air conditioner according to the temperature regulation and control strategy.
2. The temperature control method according to claim 1, wherein big data analysis is performed on at least one of the monitored working performance of the equipment in the machine room, the monitored temperature data in the machine room, the monitored working efficiency of the refrigeration air conditioner and the monitored ambient temperature data outside the machine room, and a temperature control strategy is formulated according to an analysis result of the big data analysis and the monitored refrigerating capacity of the refrigeration air conditioner, and comprises the following steps:
performing big data analysis on at least one item of monitored data of the working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of a refrigeration air conditioner and the ambient temperature data outside the machine room;
determining a temperature regulation function in the machine room according to the big data analysis result and the refrigerating capacity of the refrigerating air conditioner;
and formulating the temperature regulation strategy according to the temperature regulation function.
3. The method of claim 1, further comprising:
performing visual display on at least one of the working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room;
and controlling the working efficiency of the refrigeration air conditioner in the machine room according to the visual display result.
4. The method of claim 1, further comprising:
and according to the result of the big data analysis, a warning strategy in the machine room is formulated, and early warning is carried out according to the warning strategy.
5. The method for regulating and controlling the temperature according to claim 1, wherein the big data analysis of at least one of the monitored working performance of the equipment in the machine room, the monitored temperature data in the machine room, the monitored working efficiency of the refrigeration and air conditioning system and the monitored environmental temperature data outside the machine room comprises:
establishing a mapping synchronization chart of at least one of working performance of equipment in a machine room, working efficiency of a refrigeration air conditioner and temperature data of the external environment of the machine room and the temperature data in the machine room;
and carrying out big data analysis on the mapping synchronous chart.
6. A temperature regulating device, comprising: the system comprises a monitoring module, a decision-making module and a regulation and control module;
the monitoring module is used for monitoring at least one of the working performance of equipment in the machine room, temperature data in the machine room, the working efficiency of a refrigeration air conditioner and the ambient temperature data outside the machine room;
the decision module is used for carrying out big data analysis on at least one item of monitored data of the working performance of equipment in the machine room, temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room, and making a temperature regulation and control strategy according to the analysis result of the big data analysis and the refrigerating capacity of the refrigeration air conditioner;
and the regulation and control module is used for regulating the working efficiency of the refrigeration air conditioner according to the temperature regulation and control strategy.
7. The temperature control device according to claim 6, wherein the decision module is further configured to perform big data analysis on at least one of the monitored working performance of the equipment in the machine room, the monitored temperature data in the machine room, the monitored working efficiency of the refrigeration air conditioner and the monitored ambient temperature data outside the machine room, determine a temperature control function in the machine room according to the big data analysis result and the monitored refrigerating capacity of the refrigeration air conditioner, and make the temperature control strategy according to the temperature control function.
8. The temperature regulation device of claim 6, further comprising: a display module;
the display module is used for displaying at least one of the working performance of the equipment in the machine room, the temperature data in the machine room, the working efficiency of the refrigeration air conditioner and the ambient temperature data outside the machine room, and controlling the working efficiency of the intelligent equipment in the machine room according to the displayed result.
9. The temperature regulating device according to claim 6, further comprising an early warning module;
and according to the result of the big data analysis, a warning strategy in the machine room is formulated, and early warning is carried out according to the warning strategy.
10. A storage medium, wherein a computer program is stored on the storage medium, and when the processor executes the computer program stored on the storage medium, the temperature regulation method according to any one of claims 1 to 5 is implemented.
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