CN109955242B - Inspection robot control method and device, computer equipment and storage medium - Google Patents
Inspection robot control method and device, computer equipment and storage medium Download PDFInfo
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- CN109955242B CN109955242B CN201711422043.9A CN201711422043A CN109955242B CN 109955242 B CN109955242 B CN 109955242B CN 201711422043 A CN201711422043 A CN 201711422043A CN 109955242 B CN109955242 B CN 109955242B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1602—Programme controls characterised by the control system, structure, architecture
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1656—Programme controls characterised by programming, planning systems for manipulators
- B25J9/1664—Programme controls characterised by programming, planning systems for manipulators characterised by motion, path, trajectory planning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0766—Error or fault reporting or storing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/079—Root cause analysis, i.e. error or fault diagnosis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0793—Remedial or corrective actions
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Abstract
The invention relates to a patrol robot control method, which comprises the following steps: inspecting a data center machine room and acquiring state information of equipment in the machine room; judging the state of the equipment in the machine room according to the state information of the equipment in the machine room and a preset equipment abnormity judgment standard to acquire equipment information of abnormal equipment in the machine room; sending the equipment information of the abnormal equipment to an operation background through the Internet of things; receiving an operation instruction which is sent by an operation background and used for processing abnormal equipment through the Internet of things; and operating a server console in a data center machine room according to the operation instruction, and processing the abnormal equipment by the server console. The inspection robot can collect information of abnormal equipment in the machine room during inspection, then sends the information of the abnormal equipment to inspection personnel, receives an operation instruction and correspondingly processes the abnormal equipment through the server console according to the operation instruction. The automation degree of the data center machine room is improved, and the production efficiency is improved. In addition, the invention also provides a control device of the inspection robot, computer equipment and a storage medium.
Description
Technical Field
The present invention relates to a robot control method, and more particularly, to a maintenance-round robot control method, apparatus, computer device, and storage medium.
Background
The internet of things is the internet with which things are connected. This has two layers: firstly, the core and the foundation of the internet of things are still the internet, and the internet is an extended and expanded network on the basis of the internet; and secondly, the user side extends and expands to any article to perform information exchange and communication, namely, the article information. The internet of things is widely applied to network fusion through communication perception technologies such as intelligent perception, identification technology and pervasive computing, and is also called as the third wave of development of the world information industry after computers and the internet.
And a robot is a machine device that automatically performs work. It can accept human command, run the program programmed in advance, and also can operate according to the principle outline action made by artificial intelligence technology. The task of which is to assist or replace human work, such as production, construction, or dangerous work.
The autonomous robot in the market at present has modules for perception, processing, decision making, execution and the like on the body, and can independently act and process problems just like an autonomous person. However, these autonomous robots are not suitable for maintaining a data center machine room, and the maintenance patrol efficiency is low.
Disclosure of Invention
Therefore, the inspection and maintenance efficiency is low in the need of solving the problem that the inspection and maintenance robot is not suitable for a data center machine room. A maintenance robot control method, a maintenance robot control device, a computer device and a storage medium are provided. :
a patrol robot control method comprises the following steps:
inspecting a data center machine room and acquiring state information of equipment in the machine room;
judging the state of the machine room equipment according to the state information of the machine room equipment and a preset equipment abnormity judgment standard, and acquiring equipment information of abnormal equipment in the machine room equipment;
sending the equipment information of the abnormal equipment to an operation background through the Internet of things;
receiving an operation instruction which is sent by an operation background and used for processing abnormal equipment through the Internet of things;
and operating a server console in the data center machine room according to the operation instruction, and processing the abnormal equipment by the server console.
According to the control method of the inspection and maintenance robot, the inspection and maintenance robot can inspect and maintain in a data center machine room, information of abnormal equipment in machine room equipment is collected and sent to inspection and maintenance personnel through the Internet of things, the inspection and maintenance personnel issue operation instructions to the inspection and maintenance robot through analysis data, the inspection and maintenance robot controls a server console according to the operation instructions, and the server console treats the abnormal equipment. The automation degree of the data center machine room is improved, and the production efficiency is improved.
In one embodiment, the step of acquiring the state information of the equipment room on the way of inspecting the data center equipment room includes:
acquiring a preset layout diagram of a data center machine room;
acquiring barrier information in a data center machine room;
performing path planning according to the data center machine room layout drawing and the obstacle information;
and routing and inspecting the data center machine room according to the path plan, and acquiring the state information of the machine room equipment.
In one embodiment, the step of determining the state of the machine room device according to the state information of the machine room device and a preset device abnormality determination standard to obtain the device information of the abnormal device in the machine room device includes:
extracting abnormal data from the state information of the equipment in the machine room;
acquiring a preset equipment abnormity judgment standard;
and determining whether the equipment in the machine room is in an abnormal state or not according to the abnormal data and the equipment abnormality judgment standard, and acquiring information of the equipment in the abnormal state.
In one embodiment, the operation instruction includes an apparatus start-stop instruction, the maintenance-inspection robot includes a robot arm unit, and the processing abnormal apparatus according to the operation instruction includes:
and controlling a mechanical arm unit according to the equipment start-stop instruction, and controlling a server console through the mechanical arm unit to start and stop the abnormal equipment.
In one embodiment, the operation instruction includes a fault detection instruction, the robot includes a mechanical arm unit and an image acquisition unit, and processing the machine room equipment according to the operation instruction specifically includes:
operating a mechanical arm unit according to the fault detection instruction, performing fault detection on the abnormal equipment through a mechanical arm unit control server console, analyzing fault reasons and generating a fault detection report;
acquiring the abnormal equipment image through an image acquisition unit and generating a fault equipment image;
and uploading the fault detection report and the fault equipment image to an operation background through the Internet of things.
A maintenance-patrol robot control apparatus comprising:
the equipment information acquisition module is used for polling a data center machine room and acquiring state information of equipment in the machine room;
the abnormal judgment module is used for judging the state of the machine room equipment according to the state information of the machine room equipment and a preset equipment abnormal judgment standard to acquire abnormal equipment information;
the information sending module is used for sending the abnormal equipment information to an operation background through the Internet of things;
the information receiving module is used for receiving an operation instruction which is sent by the operation background and used for processing abnormal equipment through the Internet of things;
and the processor module is used for controlling a server console in the data center machine room according to the operation instruction, and processing abnormal equipment by the server console.
Above-mentioned inspection robot control device, inspection robot can be in data center computer lab inspection dimension to collect the information of unusual equipment in the computer lab equipment, then send unusual equipment information for inspection dimension personnel through the thing networking, inspection dimension personnel issue operating command to inspection robot through the analytic data, and the back inspection dimension robot controls the server control cabinet according to operating command, is handled unusual equipment by the server control cabinet. The automation degree of the data center machine room is improved, and the production efficiency is improved.
In one embodiment, the operation instruction includes an equipment start-stop instruction, the maintenance inspection robot includes a mechanical arm unit, and the processor module is specifically configured to control the mechanical arm unit according to the equipment start-stop instruction, and control a server console through the mechanical arm unit to perform start-stop processing on the abnormal equipment.
In one embodiment, the operation instruction includes a fault detection instruction, the maintenance robot includes a mechanical arm unit and an image acquisition unit, and the processor module specifically includes:
the fault detection unit is used for operating the mechanical arm unit according to the fault detection instruction, performing fault detection on the abnormal equipment through the mechanical arm unit control server console, analyzing fault reasons and generating a fault detection report;
the image acquisition unit is used for acquiring the abnormal equipment image and generating a fault equipment image;
and the fault analysis uploading unit is used for uploading the fault detection report and the fault equipment image to an operation background through the Internet of things.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements any of the above method steps when executing the program.
A computer-readable storage medium, on which a computer program is stored, characterized in that the program realizes the steps of any of the above-mentioned methods when executed by a processor.
Above-mentioned patrol dimension robot control computer equipment and storage medium, patrol dimension robot and can patrol the dimension at data center computer lab to collect the information of unusual equipment in the computer lab equipment, then send unusual equipment information for patrolling the dimension personnel through the thing networking, patrol the dimension personnel and assign operating command to patrolling the dimension robot through the analytic data, and later patrol the dimension robot and control the server control cabinet according to operating command, handle unusual equipment by the server control cabinet. The automation degree of the data center machine room is improved, and the production efficiency is improved.
Drawings
FIG. 1 is a flowchart of one embodiment of a method for controlling a maintenance inspection robot according to the present application;
FIG. 2 is a flowchart of one embodiment of a method for controlling a maintenance inspection robot according to the present application;
FIG. 3 is a flowchart of one embodiment of a method for controlling a maintenance inspection robot according to the present application;
FIG. 4 is a flowchart of one embodiment of a method for controlling a maintenance inspection robot according to the present application;
fig. 5 is a structural diagram of one embodiment of the inspection robot control device according to the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The inspection and maintenance robot control method is particularly applied to a data center machine room, a plurality of servers and server control consoles for controlling the servers are arranged in the data center machine room, and obstacles which possibly obstruct the inspection and maintenance robot to advance exist in the data center machine room.
As shown in fig. 1, a method for controlling a maintenance robot includes the steps of:
s100, inspecting a data center machine room and acquiring state information of equipment in the machine room.
The inspection robot moves in the data center machine room, and acquires the state information of the data center machine room equipment in the moving process. In a specific embodiment, the staff can set patrol time of the patrol robot, the patrol robot starts to patrol in a data center machine room at the set patrol time, a patrol path is obtained through the navigation positioning system and the path planning system, patrol is performed according to the patrol path, and the machine room equipment is analyzed through the vision system to obtain state information of the machine room equipment.
And S300, judging the state of the equipment in the machine room according to the state information of the equipment in the machine room and a preset equipment abnormity judgment standard, and acquiring equipment information of abnormal equipment in the machine room.
The method comprises the steps of carrying out fault judgment on the machine room equipment in the current state through state information of the machine room equipment acquired by a vision system and sensor equipment of the inspection robot and a preset equipment abnormity judgment standard, and acquiring equipment information of abnormal equipment in the machine room equipment, wherein the equipment information is used for confirming signals and serial numbers of the machine room equipment. In one embodiment, the states that the device abnormality determination criterion may determine include the device being normal and the device being abnormal. The inspection robot can confirm the equipment information of the machine room equipment by scanning the two-dimensional code or the label on the machine room equipment.
And S500, sending the equipment information of the abnormal equipment to an operation background through the Internet of things.
By applying the technology of the Internet of things, the equipment information of the abnormal equipment collected by the inspection and maintenance robot is sent to the operation background, and the operation and maintenance personnel at the background analyze the equipment information of the abnormal equipment collected by the inspection and maintenance robot, judge the reason of the abnormality of the equipment and issue an operation instruction according to the reason of the abnormality of the equipment. In one embodiment, the reasons for the abnormal device include abnormal on/off of the device and failure of the device.
And S700, receiving an operation instruction which is sent by the operation background and used for processing abnormal equipment through the Internet of things.
And the patrol and maintenance robot receives an operation instruction sent back by operation and maintenance personnel through the Internet of things.
And S900, operating a server console in the data center machine room according to the operation instruction, and processing the abnormal equipment by the server console.
And the inspection robot controls the server console according to the operation instruction after receiving the operation instruction, and correspondingly processes the abnormal equipment through the server console. In a specific embodiment, the processing comprises operating a server console through a mechanical arm, and the server console performs on-off operation on equipment with abnormal on-off operation. Or acquiring fault data of abnormal equipment through a mechanical arm control server console according to a fault detection instruction, analyzing the fault data through a processor to obtain a primary fault analysis report, acquiring an image of the abnormal equipment through a vision system of the inspection and maintenance robot to generate a fault equipment image, and transmitting the fault analysis report and the fault equipment image to an operation background through the Internet of things to serve as a basis for an operation and maintenance worker to process equipment faults.
According to the control method of the inspection and maintenance robot, the inspection and maintenance robot can inspect and maintain in a data center machine room, information of abnormal equipment in machine room equipment is collected, then the information of the abnormal equipment is sent to inspection and maintenance personnel through the Internet of things, the inspection and maintenance personnel issue operation instructions to the inspection and maintenance robot through analysis data, the inspection and maintenance robot controls a server console of the data center machine room according to the operation instructions, and the server console processes the abnormal equipment. The automation degree of the data center machine room is improved, and the production efficiency is improved. Meanwhile, operation and maintenance personnel can maintain the equipment of the data center machine room through the operation background, the sealing performance of the data center machine room is improved, and the influence of manual misoperation on the data center is reduced.
As shown in fig. 2, in one embodiment, in step S100, the step of acquiring the state information of the equipment room on the way of inspecting the data center equipment room specifically includes:
and S120, acquiring a preset layout diagram of the data center machine room.
The maintenance robot stores a layout of a data center machine room, and the layout of the data center mainly comprises a structural diagram of the data center and position information of fixed structures which cannot move.
And S140, acquiring the obstacle information.
Because the arrangement of equipment in the machine room cannot be changed, the inspection robot can sweep the obstacles which are possibly encountered in reality before inspection, the inspection robot can scan the obstacles in the area needing inspection through the vision system and acquire the obstacle information, and the obstacle information comprises the obstacle position information.
And S160, planning a path according to the layout drawing of the data center machine room and the obstacle information.
The inspection robot carries out path planning according to the current position of the inspection robot, a data center machine room layout drawing and barrier information before inspection, and in one specific embodiment, the inspection robot can carry out optimal path planning according to the minimum working cost, the shortest walking route or the shortest walking time, namely from an initial state to a target state, can avoid barriers and can inspect the optimal paths of all machine room equipment.
And S180, routing the data center machine room according to the path plan, and acquiring the state information of the machine room equipment.
The inspection robot starts to move in the data center machine room according to the path plan, and obtains the state information of the data center machine room equipment in the moving process. In a specific embodiment, the staff can set patrol time of the patrol robot, the patrol robot starts to patrol in a data center machine room at the set patrol time, a patrol path is obtained through the navigation positioning system and the path planning system, patrol is performed according to the patrol path, and the machine room equipment is analyzed through the vision system to obtain state information of the machine room equipment.
As shown in fig. 3, in one embodiment, in step S300, the step of determining the state of the equipment in the equipment room according to the state information of the equipment in the equipment room and a preset equipment abnormality determination standard, and acquiring the equipment information of the abnormal equipment in the equipment room includes:
and S320, extracting abnormal data from the state information of the machine room equipment.
The inspection robot acquires the state information of the equipment in the machine room through the vision system and the sensor equipment, and judges which of the state information is abnormal according to a prestored judgment standard, wherein the state information specifically comprises the temperature around the equipment, the on-off state of the equipment and the like.
And S340, acquiring a preset equipment abnormity judgment standard.
The inspection robot is pre-stored with a criterion for determining whether the equipment is abnormal, specifically, the criterion may be a normal operating temperature of the equipment and whether the equipment is in a power-on state or a power-off state within an inspection time period of the inspection robot.
S360, determining whether the machine room equipment is in an abnormal state or not according to the abnormal data and the equipment abnormality judgment standard, and acquiring information of the machine room equipment in the abnormal state.
And determining whether the equipment in the machine room is in an abnormal state or not according to the abnormal data and the equipment abnormality determination standard. In a specific embodiment, whether the machine room equipment is in the abnormal state of the equipment fault is judged according to the preset normal working temperature and the current working temperature of the machine room equipment, and whether the machine room equipment is in the abnormal on-off state of the equipment currently is judged according to the preset normal on-off state and the current on-off state.
In one embodiment, the operation instruction comprises an equipment start-stop instruction, the maintenance inspection robot comprises a mechanical arm unit, and the processing of the abnormal equipment according to the operation instruction comprises:
and controlling a server console through a mechanical arm unit according to the equipment start-stop instruction, and performing start-stop processing on the abnormal equipment.
When the computer lab equipment is in unusual switching on and shutting down state, fortune dimension personnel can give the maintenance robot of patrolling through giving the switching on and shutting down instruction, and the control is patrolled the maintenance robot and is started mechanical arm unit, then uses mechanical arm unit to control the server control cabinet, stops to open by the server control cabinet unusual switching on and shutting down equipment and stops the processing, finishes unusual state.
In one embodiment, the operation instruction includes a fault detection instruction, the robot includes a mechanical arm unit and an image acquisition unit, and processing the machine room equipment according to the operation instruction specifically includes:
operating the mechanical arm unit according to the fault detection instruction, operating the server console through the mechanical arm unit, performing fault detection on abnormal equipment, analyzing fault reasons and generating a fault detection report;
acquiring an abnormal equipment image through an image acquisition unit and generating a fault equipment image;
and uploading the fault detection report and the fault equipment image to an operation background through the Internet of things.
When the computer lab equipment breaks down, the fortune dimension personnel can send the fault detection instruction and give the maintenance robot that patrols, and the maintenance robot that patrols controls the server control cabinet through the arm unit after receiving the fault detection instruction, carries out preliminary detection to unusual equipment, and in a specific embodiment, the server control cabinet can detect the operating temperature of faulty equipment, each interface connection condition and work pilot lamp condition etc. and carry out preliminary analysis, reachs the fault detection report, and send it for the maintenance robot that patrols. Meanwhile, the inspection robot can shoot fault equipment in a shooting or photographing mode through the camera. And uploading the fault detection report and the fault equipment image generated by the server console to an operation background.
As shown in fig. 4, in one embodiment, the patrol robot control method of the present application includes the steps of:
and S120, acquiring a preset layout diagram of the data center machine room.
And S140, acquiring the obstacle information.
And S160, planning a path according to the layout drawing of the data center machine room and the obstacle information.
And S180, routing the data center machine room according to the path plan, and acquiring the state information of the machine room equipment.
And S320, extracting abnormal data from the state information of the machine room equipment.
And S340, acquiring a preset equipment abnormity judgment standard.
S360, determining whether the machine room equipment is in an abnormal state or not according to the abnormal data and the equipment abnormality judgment standard, and acquiring information of the machine room equipment in the abnormal state. The abnormal state specifically includes an equipment fault state and an equipment abnormal on-off state.
S500, sending the equipment information of the abnormal equipment to an operation background through the Internet of things;
s700, receiving an operation instruction which is sent by an operation background and used for processing abnormal equipment through the Internet of things;
and S900, processing the abnormal equipment according to the operation instruction.
The operation instruction comprises an equipment start-stop instruction and a fault detection instruction, and when the inspection robot receives the equipment start-stop instruction, the server console is operated through the mechanical arm unit to perform start-stop processing on abnormal equipment. When the inspection robot receives a fault detection instruction, fault detection is carried out on abnormal equipment through the control server console of the mechanical arm unit, fault reasons are analyzed, fault detection reports are generated, images of the abnormal equipment are collected through the image collecting unit, images of the fault equipment are generated, and the fault detection reports and the images of the fault equipment are uploaded to an operation background through the Internet of things.
According to the control method of the inspection and maintenance robot, the inspection and maintenance robot can inspect and maintain in a data center machine room, information of abnormal equipment in machine room equipment is collected, then the information of the abnormal equipment is sent to inspection and maintenance personnel through the Internet of things, the inspection and maintenance personnel issue operation instructions to the inspection and maintenance robot through analysis data, the inspection and maintenance robot controls a server console according to the operation instructions, and the abnormal equipment is processed. The automation degree of the data center machine room is improved, and the production efficiency is improved.
As shown in fig. 5, a maintenance robot control device includes:
the equipment information acquisition module 100 is used for polling a data center machine room and acquiring state information of equipment in the machine room;
the abnormality judgment module 300 is configured to judge the state of the machine room device according to the state information of the machine room device and a preset device abnormality judgment standard, and acquire abnormal device information;
the information sending module 500 is configured to send the abnormal device information to the operation background through the internet of things;
the information receiving module 700 is configured to receive, through the internet of things, an operation instruction for processing the abnormal device, which is sent by the operation background;
the processor module 900 is configured to operate a server console in the data center machine room according to the operation instruction, and the server console processes the abnormal device.
In one embodiment, the device information collecting module 100 specifically includes a layout diagram storage unit, an obstacle scanning unit, a path planning unit, and a routing inspection unit.
And the layout map storage unit is used for storing a layout map of the data center machine room.
And the obstacle scanning unit is used for scanning obstacles in the data center machine room and acquiring position information of the obstacles.
And the path planning unit is used for planning paths according to the layout drawing of the data center machine room and the acquired position information of the obstacles.
And the inspection unit is used for driving the inspection robot to inspect the data center machine room according to the path planning and acquiring the state information of the equipment in the machine room.
In one embodiment, the abnormality determining module 300 specifically includes an abnormal data extracting unit, a determination criterion storing unit, and an abnormality determining unit.
And the abnormal data extraction unit is used for extracting abnormal data from the state information of the equipment in the machine room.
And the judgment standard storage unit is used for storing a judgment standard for judging whether the equipment in the machine room is abnormal or not.
And the abnormity judging unit is used for judging whether the machine room equipment is in an abnormal state or not on the basis of the abnormal data according to the abnormal data obtained in the routing inspection and the fault judgment standard of the machine room equipment.
In one embodiment, the operation instruction comprises an equipment start-stop instruction, the maintenance inspection robot comprises a mechanical arm unit, and the processor module is specifically used for controlling the server console through the mechanical arm unit according to the equipment start-stop instruction, and the server console is used for performing start-stop processing on abnormal equipment.
In one embodiment, the operation instruction includes a fault detection instruction, the inspection robot includes a mechanical arm unit and an image acquisition unit, and the processor module specifically includes:
the fault detection unit is used for controlling the server console through the mechanical arm unit according to the fault detection instruction, performing fault detection on abnormal equipment through the server console, analyzing fault reasons and generating a fault detection report;
the image acquisition unit is used for acquiring an abnormal equipment image and generating a fault equipment image;
and the fault analysis uploading unit uploads the fault detection report and the fault equipment image to the operation background through the Internet of things.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements any one of the steps of the above method when executing the program.
A computer-readable storage medium, on which a computer program is stored, characterized in that the program realizes the steps of any of the above-mentioned methods when executed by a processor.
According to the inspection and maintenance robot control method, the inspection and maintenance robot control device, the computer equipment and the storage medium, the inspection and maintenance robot can inspect and maintain in a data center machine room, information of abnormal equipment in the machine room equipment is collected, then the information of the abnormal equipment is sent to inspection and maintenance personnel through the Internet of things, the inspection and maintenance personnel issue operation instructions to the inspection and maintenance robot through analyzing data, the inspection and maintenance robot controls the server console according to the operation instructions, and the server console treats the abnormal equipment. The automation degree of the data center machine room is improved, and the production efficiency is improved.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (8)
1. A patrol robot control method is characterized by comprising the following steps:
inspecting a data center machine room and acquiring state information of equipment in the machine room;
judging the state of the machine room equipment according to the state information of the machine room equipment and a preset equipment abnormity judgment standard, and acquiring equipment information of abnormal equipment in the machine room equipment, wherein the abnormal equipment comprises equipment which is abnormally turned on and off;
sending the equipment information of the abnormal equipment to an operation background through the Internet of things;
receiving an operation instruction which is sent by an operation background and used for processing abnormal equipment through the Internet of things;
operating a server console in the data center machine room according to the operation instruction, and processing the abnormal equipment by the server console;
the server console in the data center machine room is controlled according to the operation instruction, and the server console processes the abnormal equipment;
the server console is controlled through a mechanical arm, and the server console performs on-off operation on equipment which is abnormally turned on or off;
the step of obtaining the state information of the equipment in the machine room comprises the following steps:
acquiring a preset layout diagram of a data center machine room;
acquiring barrier information in a data center machine room;
performing path planning according to the data center machine room layout drawing and the obstacle information;
routing and inspecting a data center machine room according to the path plan, and acquiring state information of machine room equipment;
the step of judging the state of the machine room equipment according to the state information of the machine room equipment and a preset equipment abnormity judgment standard and acquiring the equipment information of abnormal equipment in the machine room equipment comprises the following steps:
extracting abnormal data from the state information of the equipment in the machine room;
acquiring a preset equipment abnormity judgment standard;
determining whether the machine room equipment is in an abnormal state or not according to the abnormal data and the equipment abnormality judgment standard, and acquiring information of the machine room equipment in the abnormal state;
patrol and examine data center computer lab to obtain the status information of computer lab equipment and include:
and polling the data center machine room within the set patrol time, and acquiring the state information of the equipment in the machine room.
2. The maintenance robot control method according to claim 1, wherein the operation instruction includes an apparatus start/stop instruction, the maintenance robot includes a robot arm unit, and the processing of the abnormal apparatus according to the operation instruction includes:
and controlling a mechanical arm unit according to the equipment start-stop instruction, and controlling a server console through the mechanical arm unit to start and stop the abnormal equipment.
3. The inspection robot control method according to claim 1, wherein the operation instruction includes a fault detection instruction, the robot includes a mechanical arm unit and an image acquisition unit, and the processing of the machine room equipment according to the operation instruction specifically includes:
operating a mechanical arm unit according to the fault detection instruction, performing fault detection on the abnormal equipment through a mechanical arm unit control server console, analyzing fault reasons and generating a fault detection report;
acquiring the abnormal equipment image through an image acquisition unit and generating a fault equipment image;
and uploading the fault detection report and the fault equipment image to an operation background through the Internet of things.
4. A maintenance-patrol robot control device, comprising:
the equipment information acquisition module is used for polling a data center machine room and acquiring state information of equipment in the machine room;
the abnormal judgment module is used for judging the state of the machine room equipment according to the state information of the machine room equipment and a preset equipment abnormal judgment standard to acquire equipment information of abnormal equipment in the machine room equipment, wherein the abnormal equipment comprises equipment which is abnormally started and shut down;
the information sending module is used for sending the abnormal equipment information to an operation background through the Internet of things;
the information receiving module is used for receiving an operation instruction which is sent by the operation background and used for processing abnormal equipment through the Internet of things;
the processor module is used for controlling a server console in the data center machine room according to the operation instruction, and the server console processes abnormal equipment;
the processor module is specifically configured to: the server console is controlled through a mechanical arm, and the server console performs on-off operation on equipment which is abnormally turned on or off;
the device information acquisition module is specifically configured to: the method comprises the steps of obtaining a preset data center machine room layout, obtaining obstacle information in a data center machine room, planning a path according to the data center machine room layout and the obstacle information, routing and inspecting the data center machine room according to the path planning, and obtaining state information of machine room equipment;
the abnormality determination module is specifically configured to: extracting abnormal data from the state information of the equipment in the machine room, acquiring a preset equipment abnormity judgment standard, determining whether the equipment in the machine room is in an abnormal state according to the abnormal data and the equipment abnormity judgment standard, and acquiring the information of the equipment in the abnormal state;
the equipment information acquisition module is specifically used for patrolling and examining a data center machine room in set patrol time and acquiring state information of machine room equipment.
5. The inspection robot control device according to claim 4, wherein the operation instruction includes an equipment start/stop instruction, the inspection robot includes a mechanical arm unit, and the processor module is specifically configured to control the mechanical arm unit according to the equipment start/stop instruction, and control a server console through the mechanical arm unit to perform start/stop processing on the abnormal equipment.
6. The inspection robot control device according to claim 4, wherein the operation instruction includes a fault detection instruction, the inspection robot includes a mechanical arm unit and an image acquisition unit, and the processor module specifically includes:
the fault detection unit is used for operating the mechanical arm unit according to the fault detection instruction, performing fault detection on the abnormal equipment through the mechanical arm unit control server console, analyzing fault reasons and generating a fault detection report;
the image acquisition unit is used for acquiring the abnormal equipment image and generating a fault equipment image;
and the fault analysis uploading unit is used for uploading the fault detection report and the fault equipment image to an operation background through the Internet of things.
7. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method according to any of claims 1-3 are implemented when the program is executed by the processor.
8. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 3.
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| CN113726543B (en) * | 2020-05-26 | 2023-05-02 | 北京达佳互联信息技术有限公司 | Operation and maintenance service processing method, device, system, server and storage medium |
| CN112269416B (en) * | 2020-10-14 | 2022-03-15 | 深圳市众云网有限公司 | Monitoring and maintaining robot system and method applied to data center |
| CN112445680A (en) * | 2020-11-16 | 2021-03-05 | 苏州浪潮智能科技有限公司 | Remote monitoring and overhauling system and method for server of data center machine room |
| CN113225212A (en) * | 2021-04-30 | 2021-08-06 | 中国联合网络通信集团有限公司 | Data center monitoring system, method and server |
| CN114442622A (en) * | 2022-01-19 | 2022-05-06 | 山东新一代信息产业技术研究院有限公司 | IROS-based power room inspection robot control system and method |
| CN116506482B (en) * | 2023-06-28 | 2023-09-15 | 广州豪特节能环保科技股份有限公司 | Remote control method, system and storage medium for data machine room |
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