CN112652085A - Computer room inspection data processing method, device and system and storage medium - Google Patents
Computer room inspection data processing method, device and system and storage medium Download PDFInfo
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- CN112652085A CN112652085A CN202011497033.3A CN202011497033A CN112652085A CN 112652085 A CN112652085 A CN 112652085A CN 202011497033 A CN202011497033 A CN 202011497033A CN 112652085 A CN112652085 A CN 112652085A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/20—Checking timed patrols, e.g. of watchman
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
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- G—PHYSICS
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- G06V30/10—Character recognition
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Abstract
The application discloses a computer room inspection data processing method, device, system and storage medium, which are executed by an inspection server, and the method comprises the following steps: issuing the machine room inspection task to a plurality of inspection robots; receiving machine room polling data reported by each polling robot; if the machine room inspection data are inspection texts of all the cabinets obtained after translation processing by the inspection robot, directly performing centralized processing on the inspection texts of all the cabinets; if the machine room inspection data are inspection images of all the cabinets, the inspection images of all the cabinets are translated into inspection texts of all the cabinets, and the inspection texts of all the cabinets are processed in a centralized mode. The application can realize remote centralized control and management of a plurality of inspection robots, and can ensure that inspection data in an image format is converted into a text format through judgment and processing of inspection data formats, so that subsequent statistical analysis is facilitated, the calculation resource overhead and the requirement on a storage space are greatly reduced, and the inspection efficiency of a machine room is improved.
Description
Technical Field
The application relates to the technical field of machine room inspection, in particular to a machine room inspection data processing method, device and system and a storage medium.
Background
With the development of 5G (5th generation mobile networks, 5G or 5G for short), mobile payment, big data and other information technologies, the data center becomes an entity of scientific and technological innovation and scientific and technological application and a key infrastructure of digital transformation, and meanwhile, the machine room inspection robot technology matched with the data center is also rapidly developed.
However, the inventor finds that the existing method for routing inspection of the machine room based on the routing inspection robot cannot realize remote centralized control and management of the routing inspection robot, cannot perform centralized processing on routing inspection data acquired by the routing inspection robot, and has the problems of high computing resource overhead, high requirement on storage space, insufficient data analysis performance and the like, so that the efficiency of routing inspection of the machine room is not high.
Disclosure of Invention
The embodiment of the application provides a machine room inspection data processing method, device and system and a storage medium, so that remote centralized control and management of an inspection robot are realized, and the inspection efficiency of a machine room is improved.
The embodiment of the application adopts the following technical scheme:
in a first aspect, an embodiment of the present application provides a computer room inspection data processing method, which is executed by an inspection server, where the method includes:
issuing the machine room inspection task to a plurality of inspection robots;
receiving machine room polling data reported by each polling robot;
if the machine room inspection data are inspection texts of all the cabinets obtained after translation processing by the inspection robot, directly performing centralized processing on the inspection texts of all the cabinets;
if the machine room inspection data are inspection images of all the cabinets, the inspection images of all the cabinets are translated into inspection texts of all the cabinets, and the inspection texts of all the cabinets are processed in a centralized mode.
Optionally, issuing the machine room inspection task to a plurality of inspection robots includes:
determining an initial state of a target inspection robot, wherein the target inspection robot is any one of a plurality of inspection robots;
if the initial state of the target inspection robot is in a normal state, issuing the machine room inspection task to the target inspection robot;
and if the initial state of the target inspection robot is in an abnormal state, sending a first reminding message to an operation and maintenance terminal.
Optionally, the method further comprises:
determining the running state of the target inspection robot;
and if the running state of the target inspection robot is in an abnormal state, sending a second reminding message to the operation and maintenance terminal.
Optionally, issuing the machine room inspection task to a plurality of inspection robots includes:
and issuing the machine room polling tasks to the polling robots according to a preset task issuing frequency so that the polling robots report the machine room polling data according to the machine room polling tasks.
Optionally, the routing inspection text of each cabinet includes a current routing inspection text of each cabinet, and the centralized processing of the routing inspection texts of each cabinet includes:
acquiring historical routing inspection metadata of each cabinet;
and generating a machine room routing inspection report according to the current routing inspection text of each cabinet and the historical routing inspection metadata of each cabinet.
Optionally, the obtaining the historical inspection metadata of each cabinet includes:
acquiring historical inspection data of each cabinet, wherein the historical inspection data of each cabinet comprises a machine room number and a task date identifier;
according to the machine room number, space dimension division is carried out on the historical routing inspection data of each cabinet, time dimension division is carried out on the historical routing inspection data of each cabinet according to the task date identification, and the divided historical routing inspection data of each cabinet is used as the historical routing inspection metadata of each cabinet.
Optionally, the current inspection text of each cabinet includes current device information and current environment information of each cabinet, the historical inspection metadata of each cabinet includes historical device information of each cabinet, and generating the machine room inspection report according to the current inspection text of each cabinet and the historical inspection metadata of each cabinet includes:
longitudinally comparing current equipment information of a target cabinet with historical equipment information of the target cabinet to obtain a first comparison result of the target cabinet, wherein the target cabinet is any one of the cabinets;
comparing the current environment information of the target cabinet with a preset environment threshold value, and transversely comparing the current environment information among the cabinets to obtain a second comparison result of the target cabinet;
and generating the machine room patrol inspection report according to the first comparison result and/or the second comparison result of the plurality of target cabinets.
Optionally, the method further comprises:
receiving a communication connection request of each inspection robot;
responding to the communication connection request of each inspection robot;
if the response result is that the data passes through the communication channel, establishing a communication channel with each inspection robot so as to receive the machine room inspection data reported by each inspection robot through the communication channel;
and after the machine room polling data reported by the polling robots are received, closing communication channels with the polling robots.
In a second aspect, an embodiment of the present application further provides a data processing apparatus for inspecting a computer room, which is applied to an inspection server, wherein the apparatus includes:
the task issuing unit is used for issuing the machine room inspection tasks to the inspection robots;
the first receiving unit is used for receiving the machine room inspection data reported by the inspection robots;
the centralized processing unit is used for directly performing centralized processing on the inspection texts of the cabinets if the inspection data of the machine room are the inspection texts of the cabinets obtained after the translation processing of the inspection robot; if the machine room inspection data are inspection images of all the cabinets, the inspection images of all the cabinets are translated into inspection texts of all the cabinets, and the inspection texts of all the cabinets are processed in a centralized mode.
In a third aspect, an embodiment of the present application further provides a machine room inspection system, including an inspection server and a plurality of inspection robots, where the inspection server is configured to execute any one of the foregoing methods for inspecting data of a machine room, and the inspection robots are configured to execute the following operations:
receiving a machine room inspection task;
collecting machine room inspection data according to the machine room inspection task;
and reporting the machine room inspection data to the inspection server so that the inspection server can perform centralized processing on the machine room inspection data.
In a fourth aspect, an embodiment of the present application further provides an electronic device, including:
a processor; and
a memory arranged to store computer executable instructions that, when executed, cause the processor to perform any one of the aforementioned computer room inspection data processing methods.
In a fifth aspect, an embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium stores one or more programs, and when the one or more programs are executed by an electronic device including multiple application programs, the electronic device is caused to execute any one of the foregoing computer room inspection data processing methods.
The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects: the method for processing the machine room inspection data can be executed by an inspection server which is deployed independently at a far end, and when the machine room inspection is carried out, an inspection task of the machine room is issued to a plurality of inspection robots; then, receiving machine room polling data reported by each polling robot; if the machine room inspection data are inspection texts of all the cabinets obtained after translation processing by the inspection robot, directly performing centralized processing on the inspection texts of all the cabinets; if the machine room inspection data are inspection images of all the cabinets, the inspection images of all the cabinets are translated into inspection texts of all the cabinets so as to perform centralized processing on the inspection texts of all the cabinets. The data processing method for the machine room inspection is executed through the inspection server which is deployed independently at the far end, remote centralized control and management of a plurality of inspection robots can be achieved, meanwhile, through judgment and processing of inspection data formats, inspection data in image formats can be guaranteed to be converted into text formats, subsequent statistical analysis is facilitated, computing resource overhead is greatly reduced, requirements for storage space are met, and inspection efficiency of the machine room is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a flow chart of a machine room inspection data processing method in the embodiment of the present application;
FIG. 2 is a diagram illustrating a structure of a metadata unit according to an embodiment of the present application;
fig. 3 is a schematic diagram of a data transmission process between an inspection robot and an inspection server in the embodiment of the application;
fig. 4 is a schematic structural diagram of a machine room inspection data processing device in the embodiment of the present application;
fig. 5 is a schematic structural diagram of a machine room inspection system in an embodiment of the present application;
fig. 6 is a schematic structural diagram of an inspection robot in an embodiment of the present application;
fig. 7 is a schematic diagram of an interaction process between an inspection robot and an inspection server in the embodiment of the application;
fig. 8 is a schematic structural diagram of an electronic device in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
At present, the inspection of a data center mainly adopts manual inspection, and whether equipment is abnormal or not is confirmed by manually seeing the equipment by eyes, hearing the equipment by ears and smelling the equipment by nose. Although the manual inspection can find some equipment abnormality, the timeliness cannot be guaranteed, and meanwhile, along with the continuous expansion of the scale of the data center, the inspection work faces huge challenges, which mainly include the following points:
1) the manual inspection efficiency is low: the data center is usually in a 7-by-24-hour alternate work system, and inspection personnel cannot avoid the conditions of missed inspection and wrong inspection due to the influence of the working state, environment and time;
2) the polling data utilization rate is low: data of manual inspection is mainly recorded and kept in a file through paper, the data filing difficulty is high, and systematic analysis and utilization are difficult to perform through a large data analysis platform and the like;
3) the manpower cost is high: the inspection work is usually 7 × 24 hours of shift rounds, and a large amount of human resources are required to be invested.
In order to solve the problem of manual inspection of a data center, an inspection robot is introduced in the prior art so as to provide an efficient inspection mode. The inspection robot is divided into a mobile intelligent chassis and an inspection robot body. The intelligent chassis can provide the mobility in the indoor outer use scene, has the robot chassis of a large amount of different grade types among the prior art at present, can provide the ability that removes, keeps away the barrier, charge for patrolling and examining the robot body under the different environment. However, the inspection scheme provided by the inspection robot based on the prior art still cannot sufficiently meet the requirements of inspection work in the subdivision field, and mainly shows the following points:
1) a programmable interface cannot be provided, so that remote centralized management and control of the inspection robot cannot be realized, and inspection data cannot be processed in a centralized manner;
2) effective data asset and visualization of routing inspection cannot be formed;
3) the inspection data comprises pictures, video data and the like, text information cannot be formed for rapid contrastive analysis, the requirements for computing resources and storage space are high, the data analysis performance is insufficient, and the inspection data processing efficiency is reduced.
Based on this, the embodiment of the present application provides a machine room inspection data processing method, which is executed by an inspection server, as shown in fig. 1, the method includes the following steps S110 to S140:
and step S110, issuing the machine room inspection task to a plurality of inspection robots.
The method for processing the inspection data of the machine room in the embodiment of the application can be executed by the inspection server which is separately deployed at the far end, and is used for carrying out centralized processing on the inspection data acquired by a plurality of inspection robots. The robot is patrolled and examined to each of this application embodiment all is provided with interface able to programme, and then can guarantee to patrol and examine the server and can carry out long-range centralized management and control to a plurality of robots of patrolling and examining.
Specifically, when the machine room is patrolled and examined, the patrol and examine server can issue the machine room task of patrolling and examining to one or more patrol and examine the robot earlier, and the machine room patrols and examines the position that has contained the target machine room that needs to patrol and examine and the target rack and the information such as route of patrolling and examining of predetermineeing and examining in the task to guarantee to patrol and examine the robot and can in time, accurately arrive the appointed position and patrol and examine the collection of data.
And step S120, receiving the machine room inspection data reported by the inspection robots.
The inspection robot can collect multi-dimensional data such as images, sounds, temperature and humidity, smoke, thermal imaging and the like, the condition that inspection omission and error detection occur due to the working state of inspection personnel and the influence of the environment can be effectively avoided, and inspection efficiency is greatly improved. After the patrol inspection robot finishes the collection of patrol inspection data of the corresponding machine room according to the machine room patrol inspection task, the patrol inspection data of the machine room are reported to the patrol inspection server, so that the patrol inspection server can receive the patrol inspection data of the machine room reported by the patrol inspection robots so as to perform centralized processing on the patrol inspection data of the machine room reported by the patrol inspection robots.
Step S130, if the machine room inspection data is the inspection text of each cabinet obtained after the translation processing by the inspection robot, directly performing centralized processing on the inspection text of each cabinet.
For the inspection data in the image format acquired by the inspection robot, compared with the inspection data in the text format, the inspection data in the image format greatly affects the transmission and processing efficiency of the data, and also affects the requirements on computing resources and storage space. Therefore, after the routing inspection data of the machine room are obtained, the format of the routing inspection data of the machine room needs to be determined, and if the routing inspection data of the machine room are routing inspection texts of all the cabinets obtained after translation processing of the routing inspection robot, the processing requirements of the routing inspection server on the data are met, so that the routing inspection texts of all the cabinets can be directly and centrally processed.
And step S140, if the machine room inspection data are inspection images of all the cabinets, translating the inspection images of all the cabinets into inspection texts of all the cabinets so as to perform centralized processing on the inspection texts of all the cabinets.
If the machine room inspection data are inspection images of all the cabinets, the inspection robot does not translate the inspection data in the image format into the text format before reporting the machine room inspection data, in order to reduce the calculation resources and the storage space required by the follow-up statistical analysis of the inspection data, the inspection images of all the cabinets can be translated into inspection texts corresponding to all the cabinets, so that the inspection texts of all the cabinets can be processed in a centralized manner, the calculation resource overhead is greatly reduced, the performance requirements on an inspection server are met, and the machine room inspection data processing efficiency is improved.
The method for processing the data of the machine room inspection is executed by the inspection server which is deployed independently at the far end, can realize remote centralized control and management of a plurality of inspection robots, and can ensure that the inspection data in the image format is converted into the text format by judging and processing the inspection data format, thereby facilitating subsequent statistical analysis, greatly reducing the cost of computing resources and the performance requirement on the inspection server, and further improving the efficiency of processing the data of the machine room inspection.
In an embodiment of the application, issuing the machine room inspection task to a plurality of inspection robots includes: determining an initial state of a target inspection robot, wherein the target inspection robot is any one of a plurality of inspection robots; if the initial state of the target inspection robot is in a normal state, issuing the machine room inspection task to the target inspection robot; and if the initial state of the target inspection robot is in an abnormal state, sending a first reminding message to an operation and maintenance terminal.
In an actual application scene, the inspection robot may have abnormal conditions such as a fault and the like, so that normal inspection work cannot be performed, when a machine room inspection task is issued to any inspection robot, the initial state of the inspection robot can be determined firstly, namely whether the inspection robot can be used for executing the inspection work currently or not, and if the initial state of the inspection robot is in a normal state, the machine room inspection task is issued to the inspection robot; if the initial state of the inspection robot is in an abnormal state, the inspection robot is possibly stopped at the moment and cannot perform inspection work, and at the moment, a first reminding message can be sent to the operation and maintenance terminal, so that operation and maintenance personnel can timely overhaul the inspection robot.
For the determination method of the initial state of the inspection robot, the following two methods can be adopted: one is that the inspection robot actively reports the initial state, for example, after the inspection robot is started and initialized, a state notification message may be sent to the inspection server in the embodiment of the present application, and then the current initial state of the inspection robot may be determined to be the normal state according to the message. The other mode is that when the cabinet of a certain machine room needs to be inspected, a state acquisition message can be sent to the inspection robot near the machine room, and if a result returned by the inspection robot can be received within a certain time, the current initial state of the inspection robot is considered to be a normal state.
Of course, the initial state of the inspection robot may be determined by a person skilled in the art in other manners, and is not limited in particular.
In one embodiment of the present application, the method further comprises: determining the running state of the target inspection robot; and if the running state of the target inspection robot is in an abnormal state, sending a second reminding message to the operation and maintenance terminal.
Except that whether the initial state of the inspection robot is available is determined, the inspection robot may also have abnormal conditions such as faults in the inspection process, so in the embodiment of the application, the running state of each inspection robot can be monitored, if the running state of the inspection robot is abnormal, for example, the inspection data reported by the inspection robot cannot be received, a second reminding message can be sent to the operation and maintenance terminal, so that the operation and maintenance personnel can timely overhaul the inspection robot.
For the determination mode of the operation state of the inspection robot, the following two modes can be adopted: one method may be to use a heartbeat mechanism to determine, for example, in the process of executing the inspection task by the inspection robot, the inspection robot actively reports the running state to the inspection server at intervals. The other method can be that the inspection server sends a state acquisition request to the inspection robot at regular time or irregular time, and determines the running state of the inspection robot according to the returned result of the inspection robot.
In an embodiment of the application, issuing the machine room inspection task to a plurality of inspection robots includes: and issuing the machine room polling tasks to the polling robots according to a preset task issuing frequency so that the polling robots report the machine room polling data according to the machine room polling tasks.
In an actual application scenario, when the machine room inspection task is issued to each inspection robot, the inspection task can be issued according to a preset task issuing frequency, for example, once a day. The size of the preset task issuing frequency can influence the inspection efficiency of the inspection robot to a certain extent, so that the task issuing frequency can be properly adjusted according to actual conditions in the actual inspection process to improve the inspection efficiency of the inspection robot.
In an embodiment of the present application, the translating the inspection image of each cabinet into the inspection text of each cabinet includes: segmenting the inspection image of the cabinet to obtain a plurality of subimages; respectively carrying out image recognition on each subimage to obtain equipment information corresponding to each subimage; and storing the equipment information corresponding to each sub-image into the inspection record of the machine room in a text form.
After the cabinet inspection image is obtained, the cabinet inspection image can be segmented, namely, one cabinet inspection image is segmented into a plurality of sub-images, and each sub-image corresponds to each device in the cabinet, so that the conditions of each device can be determined according to the sub-images in the follow-up process. And then, the image recognition can be respectively carried out on each sub-image, and the specific equipment information of each equipment in each sub-image can be obtained. And finally, storing the equipment information corresponding to each subimage in a text form into an inspection record of the machine room, wherein the inspection record can be understood as the record of inspection data of each cabinet in the machine room, and can store the image data acquired by an image sensor in the inspection robot, the temperature and humidity data acquired by a temperature and humidity sensor in the inspection robot, the smoke concentration data acquired by a smoke sensor, the wind speed data acquired by a wind speed sensor, the sound data acquired by a sound sensor and the like.
Compared with the mode of directly storing the routing inspection data in the image format, the method for processing the routing inspection data of the machine room in the embodiment of the application can reduce the storage space required by the single routing inspection data from the MB level to the KB level by translating the routing inspection data in the image format into the text format for storage, does not need to worry about the data storage pressure caused by the enlargement of the scale of a data center, greatly reduces the calculation resource overhead and the requirement on the storage space on the basis of ensuring the accurate routing inspection result, optimizes the data analysis performance, and further improves the routing inspection data processing efficiency of the machine room.
In one embodiment of the present application, the method further comprises: performing text recognition on the cabinet inspection image, and determining a cabinet number corresponding to the cabinet inspection image; according to the cabinet number, creating an inspection object corresponding to the cabinet inspection image and an inspection text corresponding to the inspection object in the inspection record; the storing the device information corresponding to each sub-image in the inspection record of the machine room in a text form comprises: and recording the equipment information corresponding to each subimage into the inspection text, and storing the inspection text into the inspection record of the machine room.
The machine room inspection method can be performed according to dimensions of all equipment cabinets in the machine room, a unique identifier, namely equipment cabinet codes, can be marked on each equipment cabinet, and equipment cabinet numbers in inspection images of all the equipment cabinets can be identified by using an Optical Character Recognition algorithm (OCR for short). Optical character recognition refers to the process of inspecting a printed character on paper using an electronic device (e.g., a scanner or digital camera), determining its shape by detecting dark and light patterns, and then translating the shape into a computer text using a character recognition algorithm. Specifically, the method can be implemented by using a Tesseract OCR engine (an open source OCR engine maintained by google), a character region (outline shape) and a sub-outline can be detected through connected region analysis, the outline lines are integrated into a block region at this stage, a text line can be determined according to the character outline and the block region, and a character string can be recognized through a space.
After the cabinet numbers of the cabinets are obtained, in order to facilitate subsequent identification and management of equipment information in the inspection images of the cabinets, an inspection object corresponding to the cabinet inspection image can be created in the inspection record according to the cabinet numbers, each cabinet inspection image corresponds to one inspection object, an inspection text is created for each inspection object, and specific equipment information of each equipment in each cabinet is recorded according to the inspection text.
In an embodiment of the present application, the segmenting the cabinet inspection image to obtain a plurality of sub-images includes: carrying out cabinet outline identification on the cabinet inspection image to obtain a cabinet outline image; determining the number of sub-images corresponding to the cabinet outline image according to the cabinet number; and equally dividing the cabinet outline image into the sub-images of the number of the sub-images.
In order to accurately segment the subimages corresponding to each device so as to determine the specific condition of each device subsequently, the embodiment of the application may identify the cabinet profile in the cabinet inspection image before segmenting the cabinet inspection image, so as to obtain the cabinet profile image.
Different machine rooms or different use environments, the models of the adopted cabinets may be different, for example, a standard cabinet in an existing machine room is generally 42U, and there are 48U cabinets, where U is a special measurement unit in the international cabinet that indicates the height occupied by the installation of equipment such as a server or a network, and is an abbreviation of unit, and 1U is 44.45mm, and U bit indicates the longitudinal installation position of the equipment in the standard cabinet (e.g. 42U).
The existing numbering rules of the cabinet numbers usually list the cabinet models, for example, the model of the a1 cabinet is 42U, and the model of the a2 cabinet is 48U, then the cabinet model of the a1 cabinet is 42U, for example, the cabinet number may be CHN01-a1-01-42U, and the cabinet model of the a2 cabinet is 48U, CHN01-a 2-01-48U.
Therefore, when the number of the sub-images corresponding to the cabinet outline image is determined according to the cabinet number, the preset cabinet model in the cabinet number can be identified by using an optical character identification algorithm to serve as a basis for determining the number of the sub-images.
After the preset cabinet model is obtained, the number of the sub-images of the cabinet outline image can be determined according to the preset cabinet model, and the cabinet outline image is equally divided into the sub-images with the corresponding number of the sub-images. For example, if the identified preset cabinet model is a 42U cabinet, the cabinet outline image is equally divided into 42 sub-images, and if the identified preset cabinet model is a 48U cabinet, the cabinet outline image is equally divided into 48 sub-images.
In one embodiment of the present application, after equally dividing the cabinet profile image into the number of sub-images, the method further comprises: numbering each subimage in sequence to obtain the subimage number corresponding to each subimage; creating text lines corresponding to the sub-images in the inspection object according to the numbers of the sub-images; the storing the device information corresponding to each sub-image in the inspection record of the machine room in a text form comprises: and storing the device information corresponding to each sub-image into the text line corresponding to each sub-image.
Since the U bit of each device in the cabinet has the characteristics of uniqueness in physical position and consistency in physical space, for convenience of management and analysis of subsequent data, after obtaining a plurality of sub-images of inspection images of each cabinet, the sub-images can be numbered sequentially in sequence, for example, for a 42U standard cabinet, 42 sub-images can be obtained, and the sub-images are numbered in a mode of adding 1 piece by piece from 1U according to the sequence from low to high, that is, the sub-image numbers of 1U, 2U, 3U and … … 42U can be obtained, and then a corresponding text line number is created in the inspection object according to the sub-image number of each sub-image, so that the identified device information of each sub-image is stored in the text line corresponding to each sub-image, and a basis is provided for subsequent statistical analysis.
It can be seen from the above embodiments that the image inspection data collected by the inspection robot is mainly used for checking the equipment assets in the machine room after being converted into the text format, and the inspection data such as sound, temperature, humidity, smoke, thermal imaging and the like are mainly used for monitoring the environment of the machine room. Therefore, in an embodiment of the application, for the inspection data which can be used for judging the machine room environment, corresponding parameter thresholds can be set in advance, and then the parameter thresholds are issued to the inspection robot, so that the inspection robot can judge whether the inspection data such as sound, temperature and humidity, smoke, thermal imaging and the like collected at present exceed the corresponding parameter threshold requirements according to the parameter thresholds, and return the judgment result. Of course, the threshold determination process may also be performed by the inspection server.
In order to improve the centralized processing efficiency of the routing inspection data, the routing inspection metadata can be used as the basis for centralized processing of the routing inspection data, wherein the routing inspection metadata can be understood as metadata units formed by dividing machine room routing inspection data acquired by a routing inspection task according to a certain dimension, as shown in fig. 2, different metadata units can correspond to different routing inspection tasks, and the machine room routing inspection data obtained after the completion of each routing inspection task can form corresponding metadata units according to a certain dimension so as to facilitate subsequent contrastive analysis.
In an embodiment of the present application, the inspection text of each cabinet includes a current inspection text of each cabinet, and the centralized processing of the inspection text of each cabinet includes: acquiring historical routing inspection metadata of each cabinet; and generating a machine room routing inspection report according to the current routing inspection text of each cabinet and the historical routing inspection metadata of each cabinet.
In order to obtain an intuitive inspection result, after the current inspection task is completed, the historical inspection metadata of each cabinet can be obtained according to the current inspection text of each cabinet, for example, the inspection metadata obtained after the previous inspection task of each cabinet is finished, and then a machine room inspection report corresponding to the current inspection task can be generated according to the current inspection text of each cabinet and the historical inspection metadata of each cabinet, so that the condition of equipment in the machine room can be intuitively and quickly known according to the machine room inspection report.
In an embodiment of the application, the obtaining of the historical inspection metadata of the cabinets corresponding to the inspection texts of the cabinets includes:
acquiring historical inspection data of each cabinet, wherein the historical inspection data of each cabinet comprises a machine room number and a task date identifier; according to the machine room number, space dimension division is carried out on the historical routing inspection data of each cabinet, time dimension division is carried out on the historical routing inspection data of each cabinet according to the task date identification, and the divided historical routing inspection data of each cabinet is used as the historical routing inspection metadata of each cabinet.
The history inspection data of each cabinet in the embodiment of the application can carry corresponding machine room numbers and task date marks, and the task date marks can be understood as the time for issuing the inspection tasks of the machine rooms to the inspection robots. When the historical inspection metadata of each cabinet is generated according to the historical inspection data of each cabinet, the historical inspection data of each cabinet can be divided into space dimensions according to the machine room number, the historical inspection data of each cabinet can be divided into time dimensions according to the task date identification, and then the inspection data generated by all the cabinets in the same machine room on the same task date can be divided together to form a metadata unit which is used as the historical inspection metadata of each cabinet.
It should be noted that the historical patrol metadata of the embodiment of the present application may be updated iteratively as the patrol task is executed and completed. For example, the machine room inspection data obtained by the current inspection task can be used as the basis for centralized processing of the machine room inspection data obtained by the next inspection task by dividing the space dimension and the time dimension of the machine room inspection data.
In an embodiment of the application, the current inspection text of each cabinet includes current device information and current environment information of each cabinet, the historical inspection metadata of each cabinet includes historical device information of each cabinet, the centralized processing of the machine room inspection data in the preset data format according to the preset device asset inventory model includes: longitudinally comparing current equipment information of a target cabinet with historical equipment information of the target cabinet to obtain a first comparison result of the target cabinet, wherein the target cabinet is any one of the cabinets; comparing the current environment information of the target cabinet with a preset environment threshold value, and transversely comparing the current environment information among the cabinets to obtain a second comparison result of the target cabinet; and generating the machine room patrol inspection report according to the first comparison result and/or the second comparison result of the plurality of target cabinets.
The current inspection text of each cabinet in the embodiment of the application mainly comprises current equipment information, current environment information and the like of each cabinet, the current equipment information can be understood as information of currently acquired equipment, such as equipment asset bar codes, equipment asset positions, equipment indicator lamp states and the like, and the current environment information can be understood as environment information of currently acquired cabinets, such as smoke concentration, wind speed, temperature and humidity and the like in the cabinet.
Since the foregoing embodiment has formed the metadata units corresponding to the current routing inspection metadata of each cabinet and the historical routing inspection metadata of each cabinet, the machine room routing inspection report of the embodiment of the present application may specifically be generated based on the following two dimensions: the method comprises the steps of longitudinally comparing current equipment information of a target cabinet with historical equipment information of the target cabinet to obtain a first comparison result. As shown in fig. 2, the current device information (metadata unit 2) of the cabinet 1 in the machine room a may be longitudinally compared with the historical device information (metadata unit 1) of the cabinet 1 in the machine room a, so as to determine whether there is a deviation between the current device information of the cabinet 1 and the device information obtained after the previous inspection, and determine the abnormal device in the cabinet 1.
Secondly, the current environmental information of the target cabinet is compared with a preset environmental threshold value, then the current environmental information between the target cabinet and other cabinets is transversely compared, and a second comparison result is obtained, wherein the preset environmental threshold value can be a preset smoke concentration threshold value, a preset wind speed threshold value, a preset temperature and humidity threshold value and the like, and the preset environmental threshold values are used for judging whether the current environmental information of each cabinet meets basic requirements or not. The transverse comparison of the current environmental information between the cabinets can refer to transverse comparison across machine rooms, and under the condition that the current environmental information of the cabinets meets the threshold requirement, the current environmental information between the cabinets can be compared with each other to further determine whether obviously abnormal equipment exists. As shown in fig. 2, the current environment information (metadata unit 2) of the cabinet 1 of the room a and the current environment information (metadata unit 2) of the cabinet 1 of the room B may be transversely compared, so as to determine whether there is a deviation between the current environment information of the cabinet 1 and the current environment information of other cabinets, and determine the abnormal device and the like in the cabinet 1. Of course, in addition to the cross-machine-room comparison, the cross-machine-room comparison may also be a cross-machine-room comparison between the cabinets in one machine room, and is not limited herein.
In one embodiment of the application, the first comparison result and the second comparison result of at least one cabinet of the machine room can be included in the machine room inspection report. The generation of the machine room routing inspection report can be realized by analyzing the metadata units formed after the routing inspection task is finished every time in real time, or can be realized by analyzing the metadata units formed after the routing inspection task is finished for multiple times in a centralized manner, and therefore routing inspection reports with cycles of weeks, months, years and the like are formed, and routing inspection requirements under different application scenes are further met.
According to the method for processing the machine room inspection data, the inspection server is deployed independently, and the large-capacity storage space provided by the inspection server is utilized, so that the data such as the machine room inspection data and the inspection report in the embodiment can be effectively stored, and the effective asset and visualization of the inspection data are realized.
In an embodiment of the application, the inspection model can be trained in advance by using a machine learning algorithm and issued to each inspection robot, so that the inspection environment of the inspection robot can be judged through the inspection model. In addition, the inspection model can be reversely updated according to the inspection data reported by the inspection robot in a real-time or non-timing mode, and the inspection efficiency is improved.
In one embodiment of the present application, the method further comprises: receiving a communication connection request of each inspection robot; responding to the communication connection request of each inspection robot; if the response result is that the data passes through the communication channel, establishing a communication channel with each inspection robot so as to receive the machine room inspection data reported by each inspection robot through the communication channel; and after the machine room polling data reported by the polling robots are received, closing communication channels with the polling robots.
The inspection server of the embodiment of the application can be in communication connection with each inspection robot through a wireless transmission form, and further centralized management of the inspection robots is achieved. The specific communication connection process is as follows:
firstly, the patrol inspection server can use java, net, server socket class to create a server socket object, which is equivalent to starting a service and waiting for the connection of each patrol inspection robot, and the demonstration codes are as follows:
then, the inspection robot creates a Socket object by using a java, net and Socket class, sends a communication connection request to the inspection server, the inspection server responds to the communication connection request, if the response is successful, the inspection robot establishes a communication channel and starts to communicate, and the demonstration codes are as follows:
as shown in fig. 3, a block diagram of a data transmission flow between the inspection robot and the inspection server is provided. The inspection robot can transmit the collected inspection data of the machine room to the inspection server through the established communication channel, and the data transmission process can be encrypted by adopting a Hash algorithm so as to prevent information leakage in the data transmission process. And after receiving the machine room routing inspection data, the routing inspection server completes data decryption by using a decryption rule corresponding to the encryption rule of the routing inspection robot, stores the final machine room routing inspection data into a preset database, and completes storage of the machine room routing inspection data for subsequent retrieval and analysis.
In conclusion, the machine room inspection data processing method at least achieves the following technical effects: 1) the remote centralized management and control of the inspection robot and the centralized processing and analysis of inspection data are realized; 2) by means of the large-capacity storage space of the inspection server, effective inspection data assets and visualization are formed; 3) the data in the image format is converted into the text format, so that the size of the data in the machine room inspection is effectively reduced, the difficulty of data analysis and the requirements on computing resources and storage space are reduced, the data analysis performance is improved, and the data processing efficiency of the machine room inspection is improved.
The embodiment of the present application further provides a data processing apparatus 400 is patrolled and examined to computer lab, is applied to and patrols and examines in the server, as shown in fig. 4, apparatus 400 includes:
the task issuing unit 410 is used for issuing the machine room inspection tasks to the inspection robots;
the first receiving unit 420 is configured to receive the machine room inspection data reported by the inspection robots;
the centralized processing unit 430 is configured to, if the machine room inspection data is the inspection text of each cabinet obtained after the translation processing by the inspection robot, directly perform centralized processing on the inspection text of each cabinet; if the machine room inspection data are inspection images of all the cabinets, the inspection images of all the cabinets are translated into inspection texts of all the cabinets, and the inspection texts of all the cabinets are processed in a centralized mode.
In an embodiment of the present application, the task issuing unit 410 is specifically configured to: determining an initial state of a target inspection robot, wherein the target inspection robot is any one of a plurality of inspection robots; if the initial state of the target inspection robot is in a normal state, issuing the machine room inspection task to the target inspection robot; and if the initial state of the target inspection robot is in an abnormal state, sending a first reminding message to an operation and maintenance terminal.
In one embodiment of the present application, the apparatus further comprises: the determining unit is used for determining the running state of the target inspection robot; and the sending unit is used for sending a second reminding message to the operation and maintenance terminal if the running state of the target inspection robot is in an abnormal state.
In an embodiment of the present application, the task issuing unit 410 is specifically configured to: and issuing the machine room polling tasks to the polling robots according to a preset task issuing frequency so that the polling robots report the machine room polling data according to the machine room polling tasks.
In an embodiment of the present application, the inspection texts of the cabinets include current inspection texts of the cabinets, and the centralized processing unit 430 is specifically configured to: acquiring historical routing inspection metadata of each cabinet; and generating a machine room routing inspection report according to the current routing inspection text of each cabinet and the historical routing inspection metadata of each cabinet.
In an embodiment of the present application, the centralized processing unit 430 is specifically configured to: acquiring historical inspection data of each cabinet, wherein the historical inspection data of each cabinet comprises a machine room number and a task date identifier; according to the machine room number, space dimension division is carried out on the historical routing inspection data of each cabinet, time dimension division is carried out on the historical routing inspection data of each cabinet according to the task date identification, and the divided historical routing inspection data of each cabinet is used as the historical routing inspection metadata of each cabinet.
In an embodiment of the present application, the current inspection text of each cabinet includes current device information and current environment information of each cabinet, the historical inspection metadata of each cabinet includes historical device information of each cabinet, and the centralized processing unit 430 is specifically configured to: longitudinally comparing current equipment information of a target cabinet with historical equipment information of the target cabinet to obtain a first comparison result of the target cabinet, wherein the target cabinet is any one of the cabinets; comparing the current environment information of the target cabinet with a preset environment threshold value, and transversely comparing the current environment information among the cabinets to obtain a second comparison result of the target cabinet; and generating the machine room patrol inspection report according to the first comparison result and/or the second comparison result of the plurality of target cabinets.
In one embodiment of the present application, the apparatus further comprises: the second receiving unit is used for receiving the communication connection request of each inspection robot; the response unit is used for responding to the communication connection request of each inspection robot; the communication unit is used for establishing a communication channel with each inspection robot if the response result is that the response result passes, so as to receive the machine room inspection data reported by each inspection robot through the communication channel; and the closing unit is used for closing the communication channel with each inspection robot after receiving the machine room inspection data reported by each inspection robot.
It can be understood that, the above-mentioned machine room inspection data processing apparatus can implement the steps of the machine room inspection data processing method executed by the inspection server provided in the foregoing embodiment, and the relevant explanations about the machine room inspection data processing method are applicable to the machine room inspection data processing apparatus, and are not described herein again.
The embodiment of the application further provides a machine room inspection system, as shown in fig. 5, the machine room inspection system comprises an inspection server and a plurality of inspection robots, wherein the inspection server is used for executing any one of the foregoing machine room inspection data processing methods, and the inspection robots are used for executing the following operations:
receiving a machine room inspection task;
collecting machine room inspection data according to the machine room inspection task;
and reporting the machine room inspection data to the inspection server so that the inspection server can perform centralized processing on the machine room inspection data.
For convenience of understanding, an embodiment of the present application further provides an inspection robot, as shown in fig. 6, the inspection robot in the embodiment of the present application adopts a C/S (Client-Server, Server-Client) architecture design, and can provide a self-service, centralized, and extensible data center inspection service, the inspection robot in the embodiment of the present application mainly includes a base module 1, a control module 2, a main bearing platform 3, a data transmission module 4, a vertical telescopic arm 5, and a data acquisition module 6, and each module mainly has the following functions:
1) base module 1: the sensor or power module comprises a T-shaped groove aluminum alloy plate, a plurality of T-shaped grooves are carved on the surface of the alloy plate, T-shaped slide block nuts are arranged in the grooves, and sensors or power modules with various shapes and sizes are installed at different positions of a base module by moving the T-shaped slide block nuts. 4 linear guide rails which are arranged in a rectangular mode are installed at the bottom of the base, each guide rail is provided with a sliding block with a locking function, and the positions of the sliding blocks on the guide rails can be adjusted to be matched with moving devices such as third-party robot chassis, electric sliding rails and the like in various types and sizes.
2) The control module 2: the control module main body consists of a microcomputer and is provided with data interfaces of USB-B, USB-C, VGA, HDMI and serial port models, wherein the USB-B, USB-C interface has 5V/10V/20V power supply capacity. The vertical mechanical arm 5, the smoke sensor module 61, the temperature and humidity sensor module 62 and the OCR image sensor 63 are connected and controlled through the interfaces. The programmable interface of the control module 2 is connected with a Robot chassis developed by a Robot Operating System (ROS platform), a controllable electric slide rail and other mobile platforms.
3) Main load-bearing platform 3: the main bearing platform mainly comprises an alloy plate, a vertical transmission arm is fixed through a mounting hole, and a vertical wiring groove and a wire arranging device with a movable baffle are provided.
4) The data transmission module 4: the system is provided with a 4G/5G wireless network access module, a gigabit RJ45 interface, wireless access protocols such as 802.11n, 802.11ac and 802.11ax, and a plurality of data link modes such as bridging, point-to-point and star, and the control module 2 performs data transmission with the patrol server through the module.
5) Vertical telescopic arm 5: the vertical telescopic arm has the function of lifting the data acquisition platform support in the vertical direction, the control module 2 is combined with an image signal returned by the OCR image sensor 63 to send a control signal to the single chip microcomputer, and the single chip microcomputer converts the control signal into a voltage signal to the positive and negative controller to control the vertical telescopic arm 5 to be communicated to achieve vertical telescopic. According to the different height of computer lab rack specification and equipment deployment, adjust and patrol and examine height and the angle of patrolling and examining the robot, realize that equipment self-service multi-angle is all-round to patrol and examine.
6) The data acquisition module 6: the data acquisition module comprises a smoke sensor module 61, a temperature and humidity sensor module 62, an OCR image sensor 63, a data acquisition platform support 64 and the like. The data acquisition platform 64 support is composed of T-shaped groove aluminum alloy plates, and can be provided with modules such as thermal imaging sensors, wind speed sensors, light supplementing lamps, sound sensors and cloud platforms of different models through T-shaped sliding block nuts and bolts, and the modules are managed and powered through a universal data interface of the control module 2.
As shown in fig. 7, a schematic diagram of an interaction process between the inspection robot and the inspection server is provided. The inspection robot comprises an inspection server, a control module, a data transmission module, a third-party mobile platform, a vertical telescopic arm, a data acquisition module and the like, wherein the inspection server sends a machine room inspection task to the inspection robot, the inspection robot receives the machine room inspection task through the data transmission module, the machine room inspection task is sent to the control module, the control module sends corresponding control instructions to the third-party mobile platform, the vertical telescopic arm, the data acquisition module and the like on the inspection robot, the data acquisition module can acquire machine room inspection data, then the machine room inspection data are returned to the control module, and the control module reports the machine room inspection data to the inspection server through the data transmission module.
The inspection robot provided by the embodiment of the application can install the required sensor module according to the environmental requirements of different data centers, is driven through the universal data interface and the power supply interface of the control module, and reduces the investment and resource waste of resources in a modular customization mode. In addition, the inspection robot in the embodiment of the Application can adapt to different third-party robot chassis and electric control tracks, the third-party robot chassis or the electric control tracks are controlled to move through an open Application Programming Interface (API), and the deployment universality is high.
Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Referring to fig. 8, at a hardware level, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 8, but that does not indicate only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.
The processor reads the corresponding computer program from the nonvolatile memory to the memory and then runs the computer program to form the computer room inspection data processing device on the logic level. The processor is used for executing the program stored in the memory and is specifically used for executing the following operations:
issuing the machine room inspection task to a plurality of inspection robots;
receiving machine room polling data reported by each polling robot;
if the machine room inspection data are inspection texts of all the cabinets obtained after translation processing by the inspection robot, directly performing centralized processing on the inspection texts of all the cabinets;
if the machine room inspection data are inspection images of all the cabinets, the inspection images of all the cabinets are translated into inspection texts of all the cabinets, and the inspection texts of all the cabinets are processed in a centralized mode.
The method executed by the machine room inspection data processing device according to the embodiment shown in fig. 4 of the present application may be applied to a processor, or may be implemented by the processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
The electronic device may further execute the method executed by the machine room inspection data processing apparatus in fig. 4, and implement the functions of the machine room inspection data processing apparatus in the embodiment shown in fig. 1, which are not described herein again in this embodiment of the present application.
An embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium stores one or more programs, where the one or more programs include instructions, and when the instructions are executed by an electronic device including multiple application programs, the instructions can cause the electronic device to perform the method performed by the computer room inspection data processing apparatus in the embodiment shown in fig. 4, and are specifically configured to perform:
issuing the machine room inspection task to a plurality of inspection robots;
receiving machine room polling data reported by each polling robot;
if the machine room inspection data are inspection texts of all the cabinets obtained after translation processing by the inspection robot, directly performing centralized processing on the inspection texts of all the cabinets;
if the machine room inspection data are inspection images of all the cabinets, the inspection images of all the cabinets are translated into inspection texts of all the cabinets, and the inspection texts of all the cabinets are processed in a centralized mode.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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 present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
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 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 (12)
1. A machine room inspection data processing method is executed by an inspection server, wherein the method comprises the following steps:
issuing the machine room inspection task to a plurality of inspection robots;
receiving machine room polling data reported by each polling robot;
if the machine room inspection data are inspection texts of all the cabinets obtained after translation processing by the inspection robot, directly performing centralized processing on the inspection texts of all the cabinets;
if the machine room inspection data are inspection images of all the cabinets, the inspection images of all the cabinets are translated into inspection texts of all the cabinets, and the inspection texts of all the cabinets are processed in a centralized mode.
2. The method of claim 1, wherein the issuing the machine room inspection task to the plurality of inspection robots includes:
determining an initial state of a target inspection robot, wherein the target inspection robot is any one of a plurality of inspection robots;
if the initial state of the target inspection robot is in a normal state, issuing the machine room inspection task to the target inspection robot;
and if the initial state of the target inspection robot is in an abnormal state, sending a first reminding message to an operation and maintenance terminal.
3. The method of claim 2, wherein the method further comprises:
determining the running state of the target inspection robot;
and if the running state of the target inspection robot is in an abnormal state, sending a second reminding message to the operation and maintenance terminal.
4. The method of claim 1, wherein the issuing the machine room inspection task to the plurality of inspection robots includes:
and issuing the machine room polling tasks to the polling robots according to a preset task issuing frequency so that the polling robots report the machine room polling data according to the machine room polling tasks.
5. The method of claim 1, wherein the patrol inspection texts of the cabinets comprise current patrol inspection texts of the cabinets, and the centralized processing of the patrol inspection texts of the cabinets comprises:
acquiring historical routing inspection metadata of each cabinet;
and generating a machine room routing inspection report according to the current routing inspection text of each cabinet and the historical routing inspection metadata of each cabinet.
6. The method of claim 5, wherein the obtaining historical routing inspection metadata for each cabinet comprises:
acquiring historical inspection data of each cabinet, wherein the historical inspection data of each cabinet comprises a machine room number and a task date identifier;
according to the machine room number, space dimension division is carried out on the historical routing inspection data of each cabinet, time dimension division is carried out on the historical routing inspection data of each cabinet according to the task date identification, and the divided historical routing inspection data of each cabinet is used as the historical routing inspection metadata of each cabinet.
7. The method of claim 5, wherein the current patrol inspection text of each cabinet includes current equipment information and current environment information of each cabinet, the historical patrol inspection metadata of each cabinet includes historical equipment information of each cabinet, and the generating the machine room patrol inspection report according to the current patrol inspection text of each cabinet and the historical patrol inspection metadata of each cabinet comprises:
longitudinally comparing current equipment information of a target cabinet with historical equipment information of the target cabinet to obtain a first comparison result of the target cabinet, wherein the target cabinet is any one of the cabinets;
comparing the current environment information of the target cabinet with a preset environment threshold value, and transversely comparing the current environment information among the cabinets to obtain a second comparison result of the target cabinet;
and generating the machine room patrol inspection report according to the first comparison result and/or the second comparison result of the plurality of target cabinets.
8. The method of claim 1, wherein the method further comprises:
receiving a communication connection request of each inspection robot;
responding to the communication connection request of each inspection robot;
if the response result is that the data passes through the communication channel, establishing a communication channel with each inspection robot so as to receive the machine room inspection data reported by each inspection robot through the communication channel;
and after the machine room polling data reported by the polling robots are received, closing communication channels with the polling robots.
9. The utility model provides a data processing apparatus is patrolled and examined to computer lab, is applied to and patrols and examines in the server, wherein, the device includes:
the task issuing unit is used for issuing the machine room inspection tasks to the inspection robots;
the first receiving unit is used for receiving the machine room inspection data reported by the inspection robots;
the centralized processing unit is used for directly performing centralized processing on the inspection texts of the cabinets if the inspection data of the machine room are the inspection texts of the cabinets obtained after the translation processing of the inspection robot; if the machine room inspection data are inspection images of all the cabinets, the inspection images of all the cabinets are translated into inspection texts of all the cabinets, and the inspection texts of all the cabinets are processed in a centralized mode.
10. A machine room inspection system, comprising an inspection server and a plurality of inspection robots, wherein the inspection server is used for executing the machine room inspection data processing method according to any one of claims 1 to 8, and the inspection robots are used for executing the following operations:
receiving a machine room inspection task;
collecting machine room inspection data according to the machine room inspection task;
and reporting the machine room inspection data to the inspection server so that the inspection server can perform centralized processing on the machine room inspection data.
11. An electronic device, comprising:
a processor; and
a memory arranged to store computer executable instructions which, when executed, cause the processor to perform the computer room inspection data processing method of any one of claims 1 to 8.
12. A computer-readable storage medium storing one or more programs which, when executed by an electronic device including a plurality of application programs, cause the electronic device to perform the computer room inspection data processing method according to any one of claims 1 to 8.
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