CN113624920A

CN113624920A - Waterproof method and system for underwater data center

Info

Publication number: CN113624920A
Application number: CN202110878723.1A
Authority: CN
Inventors: 王斌
Original assignee: Shanghai DC Science Co Ltd
Current assignee: Shanghai DC Science Co Ltd
Priority date: 2021-08-02
Filing date: 2021-08-02
Publication date: 2021-11-09

Abstract

According to the underwater data center waterproof method and system, the recognition and description feature data processing precision is improved through the recognized model, so that the time for recognizing and describing feature data loss is reduced, the probability of recognition error is reduced as much as possible, and the integrity of a long-time recognition process is guaranteed. Furthermore, the data storage volume of the identification detection can be dynamically corrected to adjust the pause time of the identification description characteristic data so as to ensure that the identification description characteristic data can be normally processed in the whole identification process, and the humidity safety of the equipment is ensured on the basis of ensuring the integrity of the humidity data, so that the condition that the equipment is paralyzed due to water inflow is avoided.

Description

Waterproof method and system for underwater data center

Technical Field

The application relates to the technical field of data processing, in particular to a waterproof method and system for an underwater data center.

Background

A large amount of data need be handled to data center, will send a large amount of heats like this, and the construction data center can carry out heat transfer effectively under water, just can effectually dispel the heat to data center, has practiced thrift the heat dissipation cost. However, when the data center is built underwater, the problem of not-in-place waterproof technology may exist, which may cause the data center to malfunction.

Disclosure of Invention

In view of this, the present application provides a method and system for waterproofing an underwater data center.

In a first aspect, a method for waterproofing an underwater data center is provided, the method comprising:

responding to the received humidity data in the real-time data center, acquiring data to be processed in real time and storing the data to be processed into identification detection;

if the data water content of the data to be processed in the identification detection is not larger than the first standard processing water content, prompting the identification description characteristic data to enter a humidity processing state so that the identification description characteristic data inputs the data to be processed in the identification detection into a preset humidity matrix;

and if the data water content of the data to be processed in the identification detection is not larger than the second standard processing water content when the identification description characteristic data is in the humidity processing state, displaying that the identification description characteristic data is switched to a pause condition from the humidity processing state, and feeding back and loading the process that the identification description characteristic data enters the humidity processing state if the data water content of the data to be processed in the identification detection is not larger than the first standard processing water content.

Further, the preset humidity matrix comprises a plurality of humidity data sets, and the humidity data sets are input in sequence during identification; upon input, the method further comprises:

if the step of inputting temperature data of the current humidity data set is successfully loaded, the step of continuously loading the input temperature data aiming at the next group of humidity data sets;

and if the step of loading the input temperature data of the current humidity data set is unsuccessful, ignoring the current humidity data set, and loading the input temperature data aiming at the current humidity data set in the next group of humidity data sets again.

Further, at the time of input, the method further comprises:

if the current humidity data set is ignored and the step of inputting temperature data for loading again in the next group of humidity data sets is successfully loaded, the step of inputting temperature data is continuously loaded;

and if the current humidity data set is ignored and the loaded input temperature data step is not loaded successfully in the next humidity data set, switching the identification description characteristic data from a humidity processing state to a pause condition, and feeding back and loading to prompt the identification description characteristic data to enter the humidity processing state if the data water content of the data to be processed in the identification detection is detected to be not greater than the first standard processing water content.

Further, the identification detection has a data storage volume amount set in advance, and the method further includes:

and in response to the fact that preset correction index data are met, correcting the data storage volume amount detected by identification according to a correction scheme corresponding to the correction index data, wherein the first standard processing water content is a first preset proportion of the data storage volume amount detected by identification, the second standard processing water content is a second preset proportion of the data storage volume amount detected by identification, and the first preset proportion is not larger than the second preset proportion.

Further, if the step of continuously inputting data for at least two humidity data sets of a preset humidity matrix is unsuccessful in correcting the index data for the input temperature data, correcting the data storage volume amount of the identification detection, including:

the data storage volume amount detected by the identification is increased by a first preset volume amount;

if the correction index data is that the accumulation of the recognition starting time reaches a preset correction standard and no difference is recognized, correcting the data storage volume amount of the recognition detection, and the method comprises the following steps: reducing the volume amount of the data storage detected by the identification by a second preset volume amount;

wherein the preset humidity matrix has a storage space with a fixed volume and a preset third standard processing water content for terminating the recognition of the preset humidity matrix, and the method further comprises:

detecting the residual data storage volume of the preset humidity matrix in real time;

and if the fact that the remaining data storage volume of the preset humidity matrix meets preset termination index data is detected, suspending real-time acquisition of data to be processed, continuously executing the identification description characteristic data, and inputting the remaining data to be processed in the identification detection into the preset humidity matrix, wherein the termination index data is that the remaining data storage volume of the preset humidity matrix is not more than the third standard processing water content and less than or equal to the fourth standard processing water content, and the third standard processing water content is not more than the fourth standard processing water content.

In a second aspect, a waterproof system for an underwater data center is provided, which includes a data acquisition end and a data processing terminal, wherein the data acquisition end is in communication connection with the data processing terminal, and the data processing terminal is specifically configured to:

Further, the data processing terminal is specifically further configured to:

Further, the data processing terminal is specifically configured to:

wherein the data processing terminal is further specifically configured to:

and if the fact that the remaining data storage volume of the preset humidity matrix meets preset termination index data is detected, pausing to obtain data to be processed in real time, continuously executing the identification description characteristic data, and inputting the remaining data to be processed in the identification detection into the preset humidity matrix, wherein the termination index data is that the remaining data storage volume of the preset humidity matrix is not more than a third standard processing water content and is less than or equal to a fourth standard processing water content, and the third standard processing water content is not more than the fourth standard processing water content.

According to the underwater data center waterproof method and system provided by the embodiment of the application, the recognition and description feature data processing precision is improved through the recognized model, so that the time for recognizing and describing feature data loss is reduced, the probability of recognition error is reduced as much as possible, and the integrity of a long-time recognition process is guaranteed. Furthermore, the data storage volume of the identification detection can be dynamically corrected to adjust the pause time of the identification description characteristic data so as to ensure that the identification description characteristic data can be normally processed in the whole identification process, and the humidity safety of the equipment is ensured on the basis of ensuring the integrity of the humidity data, so that the condition that the equipment is paralyzed due to water inflow is avoided.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

Fig. 1 is a flowchart of a method for waterproofing an underwater data center according to an embodiment of the present application.

Fig. 2 is a block diagram of an apparatus for waterproofing an underwater data center according to an embodiment of the present application.

Fig. 3 is an architecture diagram of a system for waterproofing an underwater data center according to an embodiment of the present application.

Detailed Description

In order to better understand the technical solutions, the technical solutions of the present application are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present application are detailed descriptions of the technical solutions of the present application, and are not limitations of the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.

Referring to fig. 1, a method for waterproofing an underwater data center is shown, which may include the technical solutions described in the following steps 100-300.

And step 100, responding to the received humidity data in the real-time data center, acquiring data to be processed in real time and storing the data to be processed in identification detection.

For example, moisture data is used to characterize the moisture condition of a data center.

Step 200, if the data water content of the data to be processed in the identification detection is not larger than the first standard processing water content, prompting the identification description characteristic data to enter a humidity processing state, so that the identification description characteristic data inputs the data to be processed in the identification detection into a preset humidity matrix.

For example, the identification profile data is used to characterize moisture identified in a real-time data center.

Step 300, if the data water content of the data to be processed in the identification detection is not greater than the second standard processing water content when the identification description characteristic data is in the humidity processing state, displaying that the identification description characteristic data is switched to a pause condition from the humidity processing state, and feeding back and loading, if the data water content of the data to be processed in the identification detection is not greater than the first standard processing water content, prompting the identification description characteristic data to enter the humidity processing state.

It can be understood that, when the technical solutions described in steps 100 to 300 are executed, the accuracy of processing the identification description feature data is improved through the identified model, so as to reduce the time for loss of the identification description feature data and reduce the probability of identification errors as much as possible, in order to ensure the integrity of the long-term identification process. Furthermore, the data storage volume of the identification detection can be dynamically corrected to adjust the pause time of the identification description characteristic data so as to ensure that the identification description characteristic data can be normally processed in the whole identification process, and the humidity safety of the equipment is ensured on the basis of ensuring the integrity of the humidity data, so that the condition that the equipment is paralyzed due to water inflow is avoided.

Based on the basis, the preset humidity matrix comprises a plurality of humidity data sets, and the humidity data sets are input in sequence during identification; when inputting, the technical scheme described in the following step q1 and step q2 can be included.

Step q1, if the input temperature data step loading of the current humidity data set is successful, continuing to load the input temperature data step for the next set of humidity data sets.

Step q2, if the step of loading the input temperature data of the current humidity data set is unsuccessful, ignoring the current humidity data set and performing the step of loading the input temperature data for the current humidity data set again in the next set of humidity data sets.

It can be understood that when the technical solutions described in the above steps q1 and q2 are executed, the accuracy of the judgment is improved through multi-dimensional judgment.

Based on the above basis, the techniques described in the following steps w1 and w2 may also be included.

And step w1, if the input temperature data step of ignoring the current humidity data set and loading again in the next humidity data set is successfully loaded, continuing to load the input temperature data step.

Step w2, if the current humidity data set is ignored and the input temperature data loaded again in the next humidity data set is not loaded successfully, the identification description characteristic data is switched to a pause condition from a humidity processing state, and if the data moisture content of the data to be processed in the identification detection is detected to be not larger than the first standard processing moisture content, the process that the identification description characteristic data enters the humidity processing state is prompted.

It will be appreciated that the steps of continuously loading the input temperature data improve the integrity of the process of prompting the identification profile data to enter the moisture processing state when the techniques described in steps w1 and w2 above are performed.

Based on the above basis, the identification and detection method has a preset data storage volume amount, and the technical scheme described in the following step e1 can be further included.

And e1, responding to the preset correction index data, correcting the data storage volume quantity detected by the recognition according to the correction scheme corresponding to the correction index data, wherein the first standard processing water content is a first preset proportion of the data storage volume quantity detected by the recognition, the second standard processing water content is a second preset proportion of the data storage volume quantity detected by the recognition, and the first preset proportion is not more than the second preset proportion.

It can be understood that, when the technical solution described in the above step e1 is executed, the detected data storage volume amount can be accurately identified by correcting the identified and detected data storage volume amount.

In a possible embodiment, the inventor finds that, if the step of continuously inputting data for at least two humidity data sets of a preset humidity matrix for the input temperature data is unsuccessful, there is a problem that a first previously set volume amount is inaccurate, so that it is difficult to accurately correct the data storage volume amount of the identification detection, and in order to improve the above technical problem, the step of correcting the data storage volume amount of the identification detection if the step of continuously inputting data for at least two humidity data sets of a preset humidity matrix for the input temperature data for the correction index data described in step e1 is unsuccessful may specifically include the technical solutions described in the following steps e11 and e 12.

Step e11, incrementing the data storage volume amount detected by the identification by a first predetermined volume amount.

Step e12, if the accumulation of the identification start time reaches the preset correction standard and no difference is identified, correcting the data storage volume amount detected by the identification, including: and reducing the volume amount of the data storage detected by the identification by a second preset volume amount.

It can be understood that, when the technical solutions described in the above steps e11 and e12 are performed, if the step of continuously inputting the input temperature data for the correction index data is unsuccessful for at least two humidity data sets of the preset humidity matrix, the problem that the first previously set volume amount is inaccurate is avoided as much as possible, so that the data storage volume amount detected by the recognition can be accurately corrected.

Based on the above, the preset humidity matrix has a storage space with a fixed volume, and a third standard processing water content for terminating the identification of the preset humidity matrix is preset, and the following technical solutions described in steps r1 and r2 may be further included.

And r1, detecting the residual data storage volume of the preset humidity matrix in real time.

And r2, if it is detected that the residual data storage volume of the preset humidity matrix meets preset termination index data, suspending real-time acquisition of data to be processed, continuously executing the identification description feature data, and inputting the residual data to be processed in the identification detection into the preset humidity matrix, wherein the termination index data is that the residual data storage volume of the preset humidity matrix is not more than the third standard processing water content and less than or equal to the fourth standard processing water content, and the third standard processing water content is not more than the fourth standard processing water content.

It can be understood that when the technical solutions described in the above steps r1 and r2 are performed, the accuracy of the termination index data is improved by accurately determining the remaining data storage volume amount.

Based on the above, if it is not detected that the remaining data storage volume amount of the preset humidity matrix meets the preset termination index data, the following technical solution described in step a1 may be further included.

Step a1, in response to receiving the termination request, suspending real-time acquisition of the data to be processed, and continuously executing the identification description feature data to input the remaining data to be processed in the identification detection into the preset humidity matrix.

It can be understood that when the technical solution described in the above step a1 is executed, the problem of relevant data errors caused by inputting the remaining data to be processed into the preset humidity matrix is effectively avoided by accurately suspending the real-time acquisition of the data to be processed.

In one possible embodiment, the following technical solution described in step s1 may be included.

And step s1, when in the humidity processing state, the identification description characteristic data inputs the data to be processed in the identification detection into a preset humidity matrix at the maximum input rate supported by the identification description characteristic data.

It can be understood that when the technical solution described in the above step s1 is implemented, the maximum input rate of the relevant humidity data is increased, so that the detection efficiency of the relevant humidity data is improved.

On the basis, please refer to fig. 2 in combination, a waterproof device 200 for an underwater data center is provided, which is applied to a data processing terminal, and comprises:

the data detection module 210 is configured to respond to the received humidity data in the real-time data center, acquire data to be processed in real time, and store the data to be processed in the identification detection;

a data prompting module 220, configured to prompt identification description feature data to enter a humidity processing state if it is detected that the data water content of the to-be-processed data in the identification detection is not greater than a first standard processing water content, so that the identification description feature data inputs the to-be-processed data in the identification detection into a preset humidity matrix;

a moisture content detecting module 230, configured to, if it is detected that the data moisture content of the to-be-processed data in the identification detection is not greater than the second standard processing moisture content when the identification description feature data is in the humidity processing state, display that the identification description feature data is switched from the humidity processing state to a suspension state, and perform feedback loading to prompt the identification description feature data to enter the humidity processing state if it is detected that the data moisture content of the to-be-processed data in the identification detection is not greater than the first standard processing moisture content.

On the basis of the above, please refer to fig. 3, which shows a system 300 for waterproofing an underwater data center, comprising a processor 310 and a memory 320, which are communicated with each other, wherein the processor 310 is configured to read a computer program from the memory 320 and execute the computer program to implement the above method.

On the basis of the above, there is also provided a computer-readable storage medium on which a computer program is stored, which when executed implements the above-described method.

In summary, based on the above scheme, the accuracy of processing the identification description feature data is improved through the identified model, so as to reduce the time consumed by identifying the description feature data, and reduce the probability of errors occurring in identification as much as possible, so as to ensure the integrity of the long-time identification process. Furthermore, the data storage volume of the identification detection can be dynamically corrected to adjust the pause time of the identification description characteristic data so as to ensure that the identification description characteristic data can be normally processed in the whole identification process, and the humidity safety of the equipment is ensured on the basis of ensuring the integrity of the humidity data, so that the condition that the equipment is paralyzed due to water inflow is avoided.

It should be appreciated that the system and its modules shown above may be implemented in a variety of ways. For example, in some embodiments, the system and its modules may be implemented in hardware, software, or a combination of software and hardware. Wherein the hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory for execution by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the methods and systems described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided, for example, on a carrier medium such as a diskette, CD-or DVD-ROM, a programmable memory such as read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application may be implemented not only by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but also by software executed by various types of processors, for example, or by a combination of the above hardware circuits and software (e.g., firmware).

It is to be noted that different embodiments may produce different advantages, and in different embodiments, any one or combination of the above advantages may be produced, or any other advantages may be obtained.

Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be considered merely illustrative and not restrictive of the broad application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.

Also, this application uses specific language to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.

Moreover, those skilled in the art will appreciate that aspects of the present application may be illustrated and described in terms of several patentable species or situations, including any new and useful combination of processes, machines, manufacture, or materials, or any new and useful improvement thereon. Accordingly, various aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media.

The computer storage medium may comprise a propagated data signal with the computer program code embodied therewith, for example, on baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, etc., or any suitable combination. A computer storage medium may be any computer-readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated over any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or any combination of the preceding.

Computer program code required for the operation of various portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, Ruby, and Groovy, or other programming languages, and the like. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network format, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).

Additionally, the order in which elements and sequences of the processes described herein are processed, the use of alphanumeric characters, or the use of other designations, is not intended to limit the order of the processes and methods described herein, unless explicitly claimed. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.

Similarly, it should be noted that in the preceding description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.

Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the numbers allow for adaptive variation. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.

The entire contents of each patent, patent application publication, and other material cited in this application, such as articles, books, specifications, publications, documents, and the like, are hereby incorporated by reference into this application. Except where the application is filed in a manner inconsistent or contrary to the present disclosure, and except where the claim is filed in its broadest scope (whether present or later appended to the application) as well. It is noted that the descriptions, definitions and/or use of terms in this application shall control if they are inconsistent or contrary to the statements and/or uses of the present application in the material attached to this application.

Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present application. Other variations are also possible within the scope of the present application. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the present application can be viewed as being consistent with the teachings of the present application. Accordingly, the embodiments of the present application are not limited to only those embodiments explicitly described and depicted herein.

The above are merely examples of the present application and are 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

1. A method of waterproofing an underwater data center, the method comprising:

2. The method of claim 1, wherein the preset humidity matrix comprises a plurality of humidity data sets, and wherein the plurality of humidity data sets have a sequential input ordering when identified; upon input, the method further comprises:

3. The method of claim 2, wherein upon input, the method further comprises:

4. The method of any of claims 1-3, wherein the identifying detects having a pre-set amount of data storage volume, the method further comprising:

5. The method of claim 4, wherein if the step of modifying the input temperature data continuously fails to input data for at least two humidity data sets of a predetermined humidity matrix, modifying the identified detected data storage volume amount comprises:

6. The utility model provides a waterproof system of data center under water which characterized in that, includes data acquisition end and data processing terminal, data acquisition end with data processing terminal communication connection, data processing terminal specifically is used for:

7. The system of claim 6, wherein the data processing terminal is further specifically configured to:

8. The system of claim 7, wherein the data processing terminal is further specifically configured to:

9. The system according to any of claims 6-8, wherein the data processing terminal is further configured to:

10. The system of claim 9, wherein the data processing terminal is specifically configured to:

wherein the data processing terminal is further specifically configured to: