CN113070906B - Service robot system and network fault diagnosis method and device thereof - Google Patents
Service robot system and network fault diagnosis method and device thereof Download PDFInfo
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- CN113070906B CN113070906B CN202110370764.XA CN202110370764A CN113070906B CN 113070906 B CN113070906 B CN 113070906B CN 202110370764 A CN202110370764 A CN 202110370764A CN 113070906 B CN113070906 B CN 113070906B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J19/00—Accessories fitted to manipulators, e.g. for monitoring, for viewing; Safety devices combined with or specially adapted for use in connection with manipulators
- B25J19/0066—Means or methods for maintaining or repairing manipulators
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
Abstract
The invention discloses a network fault diagnosis method of a service robot system, which is applied to a service robot and comprises the following steps: when the network between the first service robot and the server is detected to have a fault, controlling the first service robot to carry out network self-diagnosis, and obtaining first network fault information of the first service robot; the first service robot is controlled to go to a first preset place to be connected with first preset equipment or go to a second preset place to be connected with a second service robot, and the first network fault information is sent to the first preset equipment or the second service robot, so that the first preset equipment or the second service robot sends the first network fault information to the server; the method can reduce the network fault operation and maintenance cost of the service robot.
Description
Technical Field
The present application relates to the field of service robots, and in particular, to a service robot system and a method and an apparatus for diagnosing a network fault thereof.
Background
With the continuous development of technologies such as robotics, cloud computing and the like, the movable service robot provides services such as welcome guide, business handling, transporting goods across floors and the like in buildings such as hotels, shopping malls and the like. However, such complex and tedious work tasks are difficult to be completed by a single robot device, and a complete set of systems is required to be cooperatively completed, for example, a delivery robot needs to be matched with an elevator control system for taking an elevator, and a telephone system is required to support the call of the robot to the door of a room.
The equipment communication between the current systems is completed through a central server or a cloud server, and when a robot arrives at an elevator door, the robot informs the central server to call an elevator control system through an Internet of things network; when the robot arrives at the door of a room, the robot informs the central server to call the telephone system through the Internet of things network. If a network fault occurs between the service robot and the central server, the robot task cannot be completed normally. At this time, the central server can only know that a certain service robot is disconnected from the network, and the troubleshooting of the network fault reason of the service robot needs to arrange an engineer for home-handling, so that the labor is consumed, and higher operation and maintenance cost is generated.
Disclosure of Invention
The invention provides a service robot system and a network fault diagnosis method and device thereof, which are used for solving or partially solving the technical problem that the operation and maintenance cost of a service robot is higher because technicians are required to confirm the reason of a network fault on the door after the service robot has a network connection fault.
In order to solve the above technical problem, according to an alternative embodiment of the present invention, there is provided a network fault diagnosis method for a service robot system, applied to a service robot, including:
detecting a network connection state between a first service robot and a server;
when the network between the first service robot and the server is detected to have a fault, controlling the first service robot to carry out network self-diagnosis, and obtaining first network fault information of the first service robot;
controlling the first service robot to go to a first preset place to be connected with first preset equipment, or to go to a second preset place to be connected with a second service robot;
after the first service robot is connected with the first preset device or the second service robot, the first network fault information is sent to the first preset device or the second service robot, so that the first preset device or the second service robot sends the first network fault information to the server.
Optionally, the diagnostic method further comprises:
if the first service robot cannot be connected with the first preset device or the second service robot, controlling the first service robot to go to a third preset place to be connected with a second preset device;
and after the first service robot is connected with the second preset device, the first network fault information is sent to the second preset device, so that the second preset device sends the first network fault information to the server.
Further, the diagnostic method further comprises:
if the first service robot cannot be connected with the first preset device or the second service robot, recording first state information that the first service robot cannot be connected with the first preset device or second state information that the first service robot cannot be connected with the second service robot;
after the first service robot is connected with the second preset device, the first state information or the second state information is sent to the second preset device, so that the second preset device sends the first state information or the second state information to the server.
As an optional implementation manner, the first preset device is an elevator internet of things device connected with the server, or a telephone internet of things device connected with the server.
According to still another alternative embodiment of the present invention, there is provided a network fault diagnosis method of a service robot system, applied to a server, the diagnosis method including:
receiving first network fault information of a first service robot, which is sent by first preset equipment, second preset equipment or a second service robot; the first network fault information is obtained by performing network self-diagnosis after the first service robot detects that the network between the first service robot and the server is in fault; the first service robot is connected with the first preset equipment at a first preset place to send the first network fault information to the first preset equipment, or is connected with the second service robot at a second preset place to send the first network fault information to the second service robot, or is connected with the second preset equipment at a third preset place to send the first network fault information to the second preset equipment;
and according to the first network fault information, carrying out remote processing on the network fault of the first service robot.
Optionally, the diagnostic method further comprises:
receiving first state information or second state information; the first state information indicates that the first service robot cannot be connected with the first preset device, and the second state information indicates that the first service robot cannot be connected with the second service robot;
according to the first state information, performing remote processing on the first preset equipment; or the like, or, alternatively,
and carrying out remote processing on the second service robot according to the second state information.
Optionally, the diagnostic method further comprises:
detecting a network connection state between the server and the first preset device and/or the second preset device;
when a network fault between the server and the first preset device and/or the second preset device is detected, a control instruction is sent to a third service robot; the control instruction is used for driving the third service robot to go to a first preset place to connect and diagnose the network connection state of the first preset equipment to obtain second network fault information; and/or go to a third preset place to connect and diagnose the network connection state of the second preset equipment to obtain third network fault information;
receiving the second network fault information and/or the third network fault information sent by the third service robot;
and according to the second network fault information and/or the third network fault information, remotely processing the network fault of the first preset equipment and/or the second preset equipment through the third service robot.
According to still another alternative embodiment of the present invention, there is provided a network fault diagnosis apparatus of a service robot system, applied to a service robot, the diagnosis apparatus including:
the first detection module is used for detecting the network connection state between the first service robot and the server;
the network diagnosis module is used for controlling the first service robot to carry out network self-diagnosis when the network between the first service robot and the server is detected to have faults, and first network fault information of the first service robot is obtained;
the control module is used for controlling the first service robot to go to a first preset place to be connected with first preset equipment or go to a second preset place to be connected with a second service robot;
and the sending module is used for sending the first network fault information to the first preset device or the second service robot after the first service robot is connected with the first preset device or the second service robot, so that the first preset device or the second service robot sends the first network fault information to the server.
According to still another alternative embodiment of the present invention, there is provided a network fault diagnosis apparatus for a service robot system, applied to a server, the diagnosis apparatus including:
the receiving module is used for receiving first network fault information of the first service robot, which is sent by the first preset device, the second preset device or the second service robot; the first network fault information is obtained by performing network self-diagnosis after the first service robot detects that the network between the first service robot and the server is in fault; the first service robot is connected with the first preset equipment at a first preset place to send the first network fault information to the first preset equipment, or is connected with the second service robot at a second preset place to send the first network fault information to the second service robot, or is connected with the second preset equipment at a third preset place to send the first network fault information to the second preset equipment;
and the remote processing module is used for remotely processing the network fault of the first service robot according to the first network fault information.
According to yet another alternative embodiment of the present invention, there is provided a service robot, including a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the diagnosis method applied to the service robot in any one of the above technical solutions when executing the computer program.
According to yet another alternative embodiment of the present invention, there is provided a server, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the diagnostic method applied to the server according to any one of the foregoing technical solutions when executing the computer program.
According to still another alternative embodiment of the present invention, there is provided a service robot system including:
the service robot in the technical scheme is provided;
the server in the foregoing technical solution.
According to still another alternative embodiment of the present invention, there is provided a computer-readable storage medium having a computer program stored thereon, which is applied to a service robot, and the computer program, when executed by a processor, implements a diagnostic method of implementing any one of the foregoing technical solutions applied to the service robot.
According to still another alternative embodiment of the present invention, there is provided a computer-readable storage medium having stored thereon a computer program for application to a server, the computer program, when executed by a processor, implementing the diagnostic method of any one of the preceding claims applied to the server.
Through one or more technical schemes of the invention, the invention has the following beneficial effects or advantages:
the invention provides a network fault diagnosis method of a service robot system, which utilizes the characteristic that a service robot has mobility, when a certain service robot finds that the network connection between the service robot and a server is disconnected and the disconnection duration time reaches first preset time through self-checking the network state, the network fault of the current service robot can be determined; then, through network state self-diagnosis of the service robot, first network fault information can be obtained, then the service robot is controlled to go to the position of the preset equipment or other service robots for connection, and after the connection is successful, the first network fault information is sent to the preset equipment or other service robots; the preset equipment and other service robots can normally communicate with the server, so that the first network fault information of the first service robot can be sent to the server through the preset equipment or other service robots; therefore, the server can obtain the network fault information of the first service robot disconnected with the server, the network fault reason of the first service robot is determined, and technicians do not need to be sent to a site to diagnose the network fault of the first service robot, so that the operation and maintenance cost of the service robot is reduced.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 illustrates a service robot system network connection diagram according to one embodiment of the present invention;
FIG. 2 shows a flow diagram of a network fault diagnosis method applied to a service robot according to one embodiment of the present invention;
FIG. 3 is a flow chart illustrating a network fault diagnosis method applied to a server according to another embodiment of the present invention;
fig. 4 is a schematic diagram showing a network fault diagnosis apparatus applied to a service robot according to another embodiment of the present invention;
fig. 5 is a schematic diagram showing a network failure diagnosis apparatus applied to a server according to another embodiment of the present invention.
Detailed Description
In order to make the present application more clearly understood by those skilled in the art to which the present application pertains, the following detailed description of the present application is made with reference to the accompanying drawings by way of specific embodiments. Throughout the specification, unless otherwise specifically noted, terms used herein should be understood as having meanings as commonly used in the art. Accordingly, unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. If there is a conflict, the present specification will control. Unless otherwise specifically stated, various apparatuses and the like used in the present invention are either commercially available or can be prepared by existing methods.
In order to solve the problem that the network fault of the service robot can only be dealt with by people to the home, which causes higher operation and maintenance cost, the invention provides a network fault diagnosis method of a service robot system, which is applied to the service robot and has the following overall thought:
detecting a network connection state between a first service robot and a server; when the network between the first service robot and the server is detected to have a fault, controlling the first service robot to carry out network self-diagnosis, and obtaining first network fault information of the first service robot; controlling the first service robot to go to a first preset place to be connected with first preset equipment, or to go to a second preset place to be connected with a second service robot; after the first service robot is connected with the first preset device or the second service robot, the first network fault information is sent to the first preset device or the second service robot, so that the first preset device or the second service robot sends the first network fault information to the server.
The principle of the network fault diagnosis method is as follows: when a certain service robot finds that the network connection between the service robot and the server is disconnected and the disconnection duration time reaches a first preset time through self-checking of the network state, the service robot can determine that the current service robot has a network fault; then, through network state self-diagnosis of the service robot, first network fault information can be obtained, then the service robot is controlled to go to the position of the preset equipment or other service robots for connection, and after the connection is successful, the first network fault information is sent to the preset equipment or other service robots; the preset equipment and other service robots can normally communicate with the server, so that the first network fault information of the first service robot can be sent to the server through the preset equipment or other service robots; therefore, the server can obtain the network fault information of the first service robot disconnected with the server, the network fault reason of the first service robot is determined, and technicians do not need to be sent to a site to diagnose the network fault of the first service robot, so that the operation and maintenance cost of the service robot is reduced.
In order to better understand the technical solutions of the present invention, the following detailed descriptions of the technical solutions of the present invention are provided with the accompanying drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the examples of the present invention are the detailed descriptions of the technical solutions of the present invention, and are not limitations of the technical solutions of the present invention, and the technical features in the embodiments and the examples of the present invention may be combined with each other without conflict.
In an alternative embodiment, the network fault diagnosis method provided by the invention is applied to a service robot arranged in a service robot system of a hotel, robot service in the hotel environment mainly comprises automatic fetching, object sending service and guiding service, so that the service robot has a mobile capability, and a software and hardware system of the service robot supports the service robot to independently get on and off an elevator and freely move in a building. The service robot therefore often needs to call the elevator control system to take the elevator through the central server and to call the customer to take the item out of the room through the central server using the telephone system. In order to realize the functions, an elevator internet of things device which can be connected with a server, a service robot and an elevator control system is required to be installed near an elevator to support the service robot to take the elevator, and a telephone internet of things device which can be connected with the server, the service robot and a programmed telephone of a hotel is required to be installed near a guest room to support the service robot to call a network telephone. Generally speaking, elevator internet of things equipment and telephone internet of things equipment are fixed-position equipment, and are provided with short-range wireless Communication units, such as Communication units of NFC (Near Field Communication), ZigBee, Wi-Fi, bluetooth and the like; meanwhile, the service robot also comprises a short-range wireless communication unit corresponding to the fixed equipment; therefore, when the service robot arrives at a designated place, the elevator internet of things equipment or the telephone internet of things equipment can be connected in a wireless mode. On the other hand, the central server or the cloud server, which is used as a control center of the whole service robot system, can establish network connection with the service robot, the elevator internet of things device or the telephone internet of things device through a 4G or 5G network, for example. Therefore, a schematic diagram of network connection between devices of a service robot system including a server, a service robot, an elevator internet of things device or a telephone internet of things device is shown in fig. 1.
Based on the service robot system introduced above, as shown in fig. 2, the network fault diagnosis method specifically includes the steps of:
s1: detecting a network connection state between a first service robot and a server;
specifically, a network connection diagnostic program may be added to the control program of the service robot. The network connection diagnosis program is used for diagnosing the network connection state between the service robot and the server in real time. For example, whether the current service robot is disconnected from the server through the method of ping the IP address of the cloud server or the central server can be judged.
S2: when the network between the first service robot and the server is detected to have a fault, controlling the first service robot to carry out network self-diagnosis, and obtaining first network fault information of the first service robot;
specifically, after the network connection between the service robot and the server is disconnected and lasts for a first preset time, it can be determined that the service robot has a network fault, and a network fault diagnosis program built in the service robot is called to perform network state self-diagnosis, so that first network fault information of the first service robot is determined. Optionally, the first preset time may be determined according to an actual requirement, for example, for an application scenario with a large service requirement and a high service timeliness requirement, the first preset time may be set to be 5 minutes to 10 minutes; for an application scenario with less service demand and a general timeliness requirement, the first preset time may be set to be 1 hour to 4 hours, or 6 hours, 12 hours, or the like. The first network fault information obtained by the self-diagnosis may include: network fault type, current network state information, etc. can reflect the state information of the network fault. For example, the network fault type diagnosis includes connection state diagnosis of a network interface, network card state diagnosis, network device configuration diagnosis, and the like, and network state information such as a current IP address, a dns address, a router address, and the like of the service robot is acquired during diagnosis. Since the method for diagnosing the network fault state of the robot belongs to the prior art, detailed diagnosis processes are not repeated in the application, a self-diagnosis program of the network fault can be directly added in the service robot, and the service robot is automatically started and network diagnosis is carried out after the network fault between the service robot and the server is detected.
S3: controlling the first service robot to go to a first preset place to be connected with first preset equipment, or to go to a second preset place to be connected with a second service robot;
specifically, S3 is to utilize the mobility of the service robot to enable the first service robot to go to the service robot or the predetermined device that is normally networked with the cloud server or the central server, and after the normal service robot or the predetermined device is connected, the first network fault information may be sent to the server. For S2 and S3, the service robot may be controlled to go to a preset location after self-diagnosing the network fault, or may go to the preset location first and then diagnose the network fault.
It should be noted that the first preset device here may be the above-mentioned elevator internet of things device for supporting the service robot to take an elevator or the above-mentioned telephone internet of things device for supporting the robot to call a telephone, or may be a fixed device which is connected with the server and provides corresponding function support for the service robot and is not movable in other application scenarios. Here, the second service robot may be a service robot in an idle state in a building or a service robot that is being charged.
Since the service robot navigates according to the map in the building, a preset place or a fixed point location needs to be marked on the navigation map of the service robot in advance. The preset location identifies the position of the preset device or other service robots in the navigation map, and enables the service robots to be connected with the corresponding preset device or other service robots through short-range wireless communication technologies such as Wi-Fi, Bluetooth or NFC when reaching the position.
Whether the first service robot goes to the first preset place or the second preset place can be determined according to the distance or the road condition, for example, when the first service robot, the second service robot and the first preset device are in the same layer, the first service robot can choose to go to the preset place nearest to the first service robot, or choose to go to the preset place farther from the first service robot but with better road condition and fewer roadblocks; if the first service robot, the second service robot and the first preset device are not located in the same floor, the first service robot may select a preset place with the least number of upper and lower floors in order to reduce occupation of elevator resources.
S4: after the first service robot is connected with the first preset device or the second service robot, the first network fault information is sent to the first preset device or the second service robot, so that the first preset device or the second service robot sends the first network fault information to the server.
Specifically, after the first service robot successfully establishes a connection with the first preset device or the second service robot, the first service robot can send the first network fault information of the first service robot to the server through the first preset device or the second service robot. Therefore, the server can determine the current network fault state of the first service robot according to the first network fault information, so that remote processing can be automatically performed according to the specific fault state, or operation and maintenance personnel can be informed to perform online remote processing.
In some possible cases, the first service robot may not be able to connect to the first preset device or the second service robot, and to solve the problem, the diagnosis method may further include:
s41: if the first service robot cannot be connected with the first preset device or the second service robot, controlling the first service robot to go to a third preset place to be connected with a second preset device;
s51: and after the first service robot is connected with the second preset device, the first network fault information is sent to the second preset device, so that the second preset device sends the first network fault information to the server.
That is, when the first service robot cannot be connected to the first-time traveling preset device or service robot, the first service robot may travel to another preset device located at the third preset location to try to connect and send the first network fault information of the first service robot, so that the first service robot can send the network fault information of the first service robot to the server in time.
Further, if the first service robot cannot be connected to the first preset device or the second service robot, it indicates that a short-range wireless network connection fault exists between the first preset device or the second service robot and the first service robot, and the problem may be caused by the first service robot or the first preset device or the second service robot. Therefore, the diagnostic method described above further comprises:
s42: if the first service robot cannot be connected with the first preset device or the second service robot, recording first state information that the first service robot cannot be connected with the first preset device or second state information that the first service robot cannot be connected with the second service robot;
s52: after the first service robot is connected with the second preset device, the first state information or the second state information is sent to the second preset device, so that the second preset device sends the first state information or the second state information to the server.
Therefore, the state information of the first preset device or the second service robot which is possibly provided with short-range wireless connection obstacle can be sent to the server at the same time of reporting the network fault state of the first service robot. Because the first preset device or the second service robot is not in network connection with the server at present, the server can start remote control automatic diagnosis and processing or inform operation and maintenance personnel to perform online remote processing, so that the network fault processing efficiency is further improved, and the maintenance cost is reduced.
Based on the same inventive concept of the foregoing embodiment, in yet another alternative embodiment, as shown in fig. 3, a network fault diagnosis method is applied to a server, the diagnosis method including:
s6: receiving first network fault information of a first service robot, which is sent by first preset equipment, second preset equipment or a second service robot; the first network fault information is obtained by performing network self-diagnosis after the first service robot detects that the network between the first service robot and the server is in fault; the first service robot is connected with the first preset equipment at a first preset place to send the first network fault information to the first preset equipment, or is connected with the second service robot at a second preset place to send the first network fault information to the second service robot, or is connected with the second preset equipment at a third preset place to send the first network fault information to the second preset equipment;
s7: and according to the first network fault information, carrying out remote processing on the network fault of the first service robot.
Specifically, if the first network fault information shows that the network problem of the first service robot is a common and typical fault problem, because the first preset device or the second service robot is connected with the server, and the first service robot is connected with the first preset device or the second service robot, the server can automatically perform network fault processing by adopting a mode of remotely controlling the first service robot through the first preset device or the second service robot according to a preset network fault processing rule; if the network problem is an unusual and complex fault problem, the server can inform the operation and maintenance personnel to perform online remote processing.
Further, the diagnostic method further comprises:
s61: receiving first state information or second state information; the first state information indicates that the first service robot cannot be connected with the first preset device, and the second state information indicates that the first service robot cannot be connected with the second service robot;
s71: according to the first state information, performing remote processing on the first preset equipment; or, the second service robot is remotely processed according to the second state information.
Specifically, if the first service robot cannot be connected to the first preset device or the second service robot, it is indicated that the first preset device or the second service robot may have a short-range wireless connection fault, and therefore, the server may start to remotely diagnose the short-range wireless network connection state of the first preset device or the second service robot, and immediately perform remote processing if a problem does exist.
In the service robot system, preset equipment (or fixed equipment) can be disconnected from the server, and currently, the problem of network faults of the preset equipment (or fixed equipment) is solved, and a technician is required to be sent to carry out home treatment in the same way of solving the network faults of the service robot. In order to further save cost, the diagnosis method may further include:
s8: detecting a network connection state between the server and the first preset device and/or the second preset device;
s9: when a network fault between the server and the first preset device and/or the second preset device is detected, sending a control instruction to the third service robot; the control instruction is used for driving the third service robot to go to a first preset place to connect and diagnose the network connection state of the first preset equipment to obtain second network fault information; and/or go to a third preset place to connect and diagnose the network connection state of the second preset equipment to obtain third network fault information;
similarly, the server may detect whether a network fault occurs between the preset device and the server by using a method of ping the preset device ip address. Similarly, the network failure may be that the network connection between the server and the preset device is disconnected for a second preset time.
After the network fault of the preset equipment is determined, the third service robot is informed to go to the position of the preset equipment, the preset equipment is connected for network diagnosis, the network fault diagnosis information of the preset equipment is obtained, and then the third service robot can send the network fault diagnosis information to the server. Alternatively, the third service robot may be a service robot whose current task state is "idle". The second predetermined time may be determined as desired, such as 5 minutes to 30 minutes, or 1 hour to 12 hours.
Similar to the self-diagnosis of the first network fault information of the service robot, the third network fault information of the preset device may include: network fault type, current network state, etc. reflect the state information of network connection fault; for example, the connection state of the network interface of the device is preset, and the current network state information of the device, such as the IP address, the dns address, the router address, etc., is acquired during diagnosis. Since the method for diagnosing the network fault state of the preset device also belongs to the prior art, and a diagnostic program can be installed in the service robot, the detailed diagnosis process is not repeated in the application.
S10: receiving the second network fault information and/or the third network fault information sent by the third service robot;
s11: and according to the second network fault information and/or the third network fault information, remotely processing the network fault of the first preset equipment and/or the second preset equipment through the third service robot.
Specifically, after receiving the network fault information of the preset device, the server may utilize a third service robot currently connected to the preset device to perform remote processing on the network fault of the preset device.
Optionally, if the third service robot cannot be connected to the first preset device and/or the second preset device, the short-range wireless communication obstacle of the preset device is recorded, and the state information is sent to the server.
Generally speaking, the above scheme can monitor whether the preset equipment (or the fixed equipment) is disconnected with the server through the central server or the cloud server, and after the server finds that certain preset equipment, such as the elevator internet of things equipment, is disconnected and lasts for a certain time, the server automatically goes to the preset equipment to perform network fault diagnosis by utilizing the moving capacity of the service robot, so that the cost of the special person for home maintenance is saved.
Based on the same inventive concept of the foregoing embodiment, in yet another alternative embodiment, as shown in fig. 4, there is provided a network fault diagnosis apparatus of a service robot system, applied to a service robot, the diagnosis apparatus including:
a first detection module 10, configured to detect a network connection state between the first service robot and the server;
a network diagnosis module 20, configured to control the first service robot to perform network self-diagnosis when a network between the first service robot and the server is detected to have a fault, so as to obtain first network fault information of the first service robot;
the control module 30 is configured to control the first service robot to travel to a first preset location to connect to a first preset device, or to travel to a second preset location to connect to a second service robot;
and the sending module 40 is configured to send the first network fault information to the first preset device or the second service robot after the first service robot is connected to the first preset device or the second service robot, so that the first preset device or the second service robot sends the first network fault information to the server.
Optionally, the control module 30 is further configured to:
if the first service robot cannot be connected with the first preset device or the second service robot, controlling the first service robot to go to a third preset place to be connected with a second preset device;
the sending module 40 is further configured to:
and after the first service robot is connected with the second preset device, the first network fault information is sent to the second preset device, so that the second preset device sends the first network fault information to the server.
Further, the control module 30 is further configured to:
if the first service robot cannot be connected with the first preset device or the second service robot, recording first state information that the first service robot cannot be connected with the first preset device or second state information that the first service robot cannot be connected with the second service robot;
the sending module 40 is further configured to:
after the first service robot is connected with the second preset device, the first state information or the second state information is sent to the second preset device, so that the second preset device sends the first state information or the second state information to the server.
Based on the same inventive concept of the foregoing embodiment, in yet another alternative embodiment, as shown in fig. 5, there is provided a network fault diagnosis apparatus for a service robot system, applied to a server, the diagnosis apparatus including:
a receiving module 50, configured to receive first network fault information of the first service robot sent by the first preset device, the second preset device, or the second service robot; the first network fault information is obtained by performing network self-diagnosis after the first service robot detects that the network between the first service robot and the server is in fault; the first service robot is connected with the first preset equipment at a first preset place to send the first network fault information to the first preset equipment, or is connected with the second service robot at a second preset place to send the first network fault information to the second service robot, or is connected with the second preset equipment at a third preset place to send the first network fault information to the second preset equipment;
and a remote processing module 60, configured to perform remote processing on the network fault of the first service robot according to the first network fault information.
Optionally, the receiving module 50 is further configured to:
receiving first state information or second state information; the first state information indicates that the first service robot cannot be connected with the first preset device, and the second state information indicates that the first service robot cannot be connected with the second service robot;
the remote processing module 60 is specifically configured to:
and carrying out remote processing on the first preset equipment according to the first state information, or carrying out remote processing on the second service robot according to the second state information.
Optionally, the diagnostic apparatus includes a second detection module 70 for: detecting a network connection state between the server and the first preset device and/or the second preset device; when a network fault between the server and the first preset device and/or the second preset device is detected, a control instruction is sent to a third service robot; the control instruction is used for driving the third service robot to go to a first preset place to connect and diagnose the network connection state of the first preset equipment to obtain second network fault information; and/or go to a third preset place to connect and diagnose the network connection state of the second preset equipment to obtain third network fault information;
the receiving module 50 is configured to: receiving the second network fault information and/or the third network fault information sent by the third service robot;
the remote processing module 60 is configured to: and according to the second network fault information and/or the third network fault information, remotely processing the network fault of the first preset equipment and/or the second preset equipment through the third service robot.
Based on the same inventive concept of the foregoing embodiments, in yet another alternative embodiment, a service robot is provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the steps of the diagnostic method applied to the service robot in any one of the foregoing embodiments when executing the computer program.
Based on the same inventive concept of the foregoing embodiments, in yet another alternative embodiment, a server is provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the steps of the diagnostic method applied to the server in any one of the foregoing embodiments when executing the computer program.
Based on the same inventive concept of the foregoing embodiments, in yet another alternative embodiment, there is provided a service robot system including:
the service robot in the foregoing embodiment;
the server in the foregoing embodiment.
Based on the same inventive concept of the foregoing embodiments, in yet another alternative embodiment, a computer-readable storage medium having a computer program stored thereon for application to a service robot is provided, where the computer program, when executed by a processor, implements a diagnostic method for application to the service robot in any one of the foregoing embodiments.
Based on the same inventive concept of the foregoing embodiments, in yet another alternative embodiment, a computer-readable storage medium is provided, on which a computer program is stored, applied to a server, and when the computer program is executed by a processor, the computer program implements the diagnostic method of any one of the foregoing embodiments, applied to the server.
Through one or more embodiments of the present invention, the present invention has the following advantageous effects or advantages:
the invention provides a network fault diagnosis method of a service robot system, which utilizes the characteristic that a service robot has mobility, when a certain service robot finds that the network connection between the service robot and a server is disconnected and the disconnection duration time reaches first preset time through self-checking the network state, the network fault of the current service robot can be determined; then, through network state self-diagnosis of the service robot, first network fault information can be obtained, then the service robot is controlled to go to the position of the preset equipment or other service robots for connection, and after the connection is successful, the first network fault information is sent to the preset equipment or other service robots; the preset equipment and other service robots can normally communicate with the server, so that the first network fault information of the first service robot can be sent to the server through the preset equipment or other service robots; therefore, the server can obtain the network fault information of the first service robot disconnected with the server, the network fault reason of the first service robot is determined, and technicians do not need to be sent to a site to diagnose the network fault of the first service robot, so that the operation and maintenance cost of the service robot is reduced;
further, after monitoring that the preset device and the server are disconnected from the network and last for a second preset time, the server controls the third service robot to automatically go to the preset device for network fault diagnosis by using the movement capacity of the service robot, and then receives network fault information of the preset device sent by the third service robot, so that the network fault reason of the preset device can be obtained, and the cost for technicians to maintain at home is further saved.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (14)
1. A network fault diagnosis method of a service robot system is applied to a service robot, and the diagnosis method comprises the following steps:
detecting a network connection state between a first service robot and a server;
when the network between the first service robot and the server is detected to have a fault, controlling the first service robot to carry out network self-diagnosis, and obtaining first network fault information of the first service robot;
controlling the first service robot to go to a first preset place to be connected with first preset equipment, or to go to a second preset place to be connected with a second service robot;
after the first service robot is connected with the first preset device or the second service robot, the first network fault information is sent to the first preset device or the second service robot, so that the first preset device or the second service robot sends the first network fault information to the server.
2. The diagnostic method of claim 1, further comprising:
if the first service robot cannot be connected with the first preset device or the second service robot, controlling the first service robot to go to a third preset place to be connected with a second preset device;
and after the first service robot is connected with the second preset device, the first network fault information is sent to the second preset device, so that the second preset device sends the first network fault information to the server.
3. The diagnostic method of claim 2, further comprising:
if the first service robot cannot be connected with the first preset device or the second service robot, recording first state information that the first service robot cannot be connected with the first preset device or second state information that the first service robot cannot be connected with the second service robot;
after the first service robot is connected with the second preset device, the first state information or the second state information is sent to the second preset device, so that the second preset device sends the first state information or the second state information to the server.
4. The diagnostic method of claim 1, wherein the first predetermined device is an elevator internet of things device connected to the server or a telephone internet of things device connected to the server.
5. A network fault diagnosis method of a service robot system is applied to a server, and the diagnosis method comprises the following steps:
receiving first network fault information of a first service robot, which is sent by first preset equipment, second preset equipment or a second service robot; the first network fault information is obtained by performing network self-diagnosis after the first service robot detects that the network between the first service robot and the server is in fault; the first service robot is connected with the first preset equipment at a first preset place to send the first network fault information to the first preset equipment, or is connected with the second service robot at a second preset place to send the first network fault information to the second service robot, or is connected with the second preset equipment at a third preset place to send the first network fault information to the second preset equipment;
and according to the first network fault information, carrying out remote processing on the network fault of the first service robot.
6. The diagnostic method of claim 5, further comprising:
receiving first state information or second state information; the first state information indicates that the first service robot cannot be connected with the first preset device, and the second state information indicates that the first service robot cannot be connected with the second service robot;
according to the first state information, performing remote processing on the first preset equipment; or, the second service robot is remotely processed according to the second state information.
7. The diagnostic method of claim 5, further comprising:
detecting a network connection state between the server and the first preset device and/or the second preset device;
when a network fault between the server and the first preset device and/or the second preset device is detected, a control instruction is sent to a third service robot; the control instruction is used for driving the third service robot to go to a first preset place to connect and diagnose the network connection state of the first preset equipment to obtain second network fault information; and/or go to a third preset place to connect and diagnose the network connection state of the second preset equipment to obtain third network fault information;
receiving the second network fault information and/or the third network fault information sent by the third service robot;
and according to the second network fault information and/or the third network fault information, remotely processing the network fault of the first preset equipment and/or the second preset equipment through the third service robot.
8. A network failure diagnosis device for a service robot system, applied to a service robot, the diagnosis device comprising:
the first detection module is used for detecting the network connection state between the first service robot and the server;
the network diagnosis module is used for controlling the first service robot to carry out network self-diagnosis when the network between the first service robot and the server is detected to have faults, and first network fault information of the first service robot is obtained;
the control module is used for controlling the first service robot to go to a first preset place to be connected with first preset equipment or go to a second preset place to be connected with a second service robot;
and the sending module is used for sending the first network fault information to the first preset device or the second service robot after the first service robot is connected with the first preset device or the second service robot, so that the first preset device or the second service robot sends the first network fault information to the server.
9. A network failure diagnosis apparatus for a service robot system, applied to a server, the diagnosis apparatus comprising:
the receiving module is used for receiving first network fault information of the first service robot, which is sent by the first preset device, the second preset device or the second service robot; the first network fault information is obtained by performing network self-diagnosis after the first service robot detects that the network between the first service robot and the server is in fault; the first service robot is connected with the first preset equipment at a first preset place to send the first network fault information to the first preset equipment, or is connected with the second service robot at a second preset place to send the first network fault information to the second service robot, or is connected with the second preset equipment at a third preset place to send the first network fault information to the second preset equipment;
and the remote processing module is used for remotely processing the network fault of the first service robot according to the first network fault information.
10. A service robot 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 diagnostic method as claimed in any one of claims 1 to 4 are implemented when the computer program is executed by the processor.
11. A server 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 diagnostic method as claimed in any one of claims 5 to 7 are implemented by the processor when executing the computer program.
12. A service robot system, comprising:
the service robot of claim 10;
the server of claim 11.
13. A computer-readable storage medium, on which a computer program is stored, for use in a service robot, which computer program, when being executed by a processor, carries out a diagnostic method according to any one of claims 1 to 4.
14. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements a diagnostic method according to any one of claims 5 to 7, for application to a server.
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| CN113524261B (en) * | 2021-08-04 | 2022-12-16 | 广州赛特智能科技有限公司 | Robot task exception handling method |
| CN114265404B (en) * | 2021-12-16 | 2023-12-05 | 北京云迹科技股份有限公司 | Robot diagnosis method and device, electronic equipment and storage medium |
| CN114338757A (en) * | 2021-12-21 | 2022-04-12 | 北京云迹科技股份有限公司 | Equipment operation and maintenance method and device, electronic equipment and storage medium |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101286954A (en) * | 2007-02-13 | 2008-10-15 | Abb研究有限公司 | Remote diagnostic system for robots |
| CN105610625A (en) * | 2016-01-04 | 2016-05-25 | 杭州亚美利嘉科技有限公司 | Robot terminal network abnormity self-recovery method and device |
| CN105682159A (en) * | 2016-01-04 | 2016-06-15 | 杭州亚美利嘉科技有限公司 | Network switching method and server |
| CN106603258A (en) * | 2015-10-16 | 2017-04-26 | 北京国双科技有限公司 | Data transmission method and device |
| WO2018035766A1 (en) * | 2016-08-24 | 2018-03-01 | 深圳天珑无线科技有限公司 | Network abnormality processing method and system |
| CN107891446A (en) * | 2017-10-28 | 2018-04-10 | 深圳市前海安测信息技术有限公司 | service robot fault self-diagnosis system and method |
| CN109070347A (en) * | 2016-04-24 | 2018-12-21 | 富兰卡爱米卡股份有限公司 | The control of robot system |
| CN109048996A (en) * | 2018-08-07 | 2018-12-21 | 北京云迹科技有限公司 | robot abnormal state processing method and device |
| CN111682960A (en) * | 2020-05-14 | 2020-09-18 | 深圳市有方科技股份有限公司 | Fault diagnosis method and device for Internet of things network and equipment |
| CN111722534A (en) * | 2019-03-19 | 2020-09-29 | 佛山市顺德区美的电热电器制造有限公司 | Equipment control method, device, equipment and storage medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100499770B1 (en) * | 2004-12-30 | 2005-07-07 | 주식회사 아이오. 테크 | Network based robot control system |
| US20200142770A1 (en) * | 2018-11-02 | 2020-05-07 | International Business Machines Corporation | Internet of things appliance diagnostics |
-
2021
- 2021-04-07 CN CN202110370764.XA patent/CN113070906B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101286954A (en) * | 2007-02-13 | 2008-10-15 | Abb研究有限公司 | Remote diagnostic system for robots |
| CN106603258A (en) * | 2015-10-16 | 2017-04-26 | 北京国双科技有限公司 | Data transmission method and device |
| CN105610625A (en) * | 2016-01-04 | 2016-05-25 | 杭州亚美利嘉科技有限公司 | Robot terminal network abnormity self-recovery method and device |
| CN105682159A (en) * | 2016-01-04 | 2016-06-15 | 杭州亚美利嘉科技有限公司 | Network switching method and server |
| CN109070347A (en) * | 2016-04-24 | 2018-12-21 | 富兰卡爱米卡股份有限公司 | The control of robot system |
| WO2018035766A1 (en) * | 2016-08-24 | 2018-03-01 | 深圳天珑无线科技有限公司 | Network abnormality processing method and system |
| CN107891446A (en) * | 2017-10-28 | 2018-04-10 | 深圳市前海安测信息技术有限公司 | service robot fault self-diagnosis system and method |
| CN109048996A (en) * | 2018-08-07 | 2018-12-21 | 北京云迹科技有限公司 | robot abnormal state processing method and device |
| CN111722534A (en) * | 2019-03-19 | 2020-09-29 | 佛山市顺德区美的电热电器制造有限公司 | Equipment control method, device, equipment and storage medium |
| CN111682960A (en) * | 2020-05-14 | 2020-09-18 | 深圳市有方科技股份有限公司 | Fault diagnosis method and device for Internet of things network and equipment |
Non-Patent Citations (1)
| Title |
|---|
| 基于网络的跨平台远程状态监测与故障诊断系统研究;郭其一等;《中国科技信息》;20051101(第11期);全文 * |
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