CN111093176B - Robot network monitoring method, device and storage medium - Google Patents
Robot network monitoring method, device and storage medium Download PDFInfo
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- CN111093176B CN111093176B CN202010219160.0A CN202010219160A CN111093176B CN 111093176 B CN111093176 B CN 111093176B CN 202010219160 A CN202010219160 A CN 202010219160A CN 111093176 B CN111093176 B CN 111093176B
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- H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
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Abstract
The invention discloses a robot network monitoring method, equipment and a storage medium, wherein the method comprises the following steps: the robot body collects self network health information, and meanwhile, based on a short-distance communication technology, the robot body shares the network health information with other robots in a preset range in a robot cluster; the robot analyzes and judges the network state of the robot in real time according to a preset rule based on the acquired self network health information and the shared network health information, and identifies the network quality of the robot at present; the robot simultaneously communicates data with the server for: the server collects network health data corresponding to the robot in real time and/or receives the network health data reported by the robot, analyzes and judges the network health state of the robot according to the network health data of the robot, and identifies the network health state of the robot; the purpose of monitoring the network state of the robot body in real time is achieved.
Description
Technical Field
The present invention relates to the field of robot technology, and in particular, to a method, an apparatus, and a storage medium for monitoring a robot network.
Background
In modern logistics industry, warehousing robots play an increasingly important role, and due to the fact that characteristics such as autonomy and flexibility need to be guaranteed, most of the existing robots are designed based on a wireless network, and the robots and the servers are communicated with each other and with each other mostly through modes such as WIFI (wireless fidelity) and 4G/5G. In addition, in order to improve the overall working efficiency, the warehousing robots mostly work in a cluster mode. Under the above conditions, if the warehousing robot has a network fault and cannot recover or quit the operation site as soon as possible, the overall operation efficiency will be greatly affected, and even the overall or local operation can be interrupted in severe cases. Therefore, network fault monitoring of the warehousing robot cluster is particularly important.
At present, for the above situations, a monitoring system constructed based on a server is mostly adopted in the industry, and the network health condition of the robot is pulled in real time or reported by the robot through wireless communication technologies such as 4G, WIFI and the like. Due to the instability and uncertainty of the remote wireless communication technology, the failure source identification of the monitoring scheme is not fine enough, and the like, the network health state of the warehousing robot often has the situations of misjudgment and missed judgment in the monitoring process, which also damages the operation efficiency. For example, when the warehousing robot loses the WIFI or 4G communication with the outside, the robot cannot judge whether the fault is caused by the abnormality of the external network or the communication capability loss caused by the fault. Therefore, when the network is restored or overhauled, the outside world cannot know the cause of the failure that caused the above situation.
Disclosure of Invention
The invention provides a robot network monitoring method, equipment and a storage medium, which are used for monitoring the network state of a robot body in real time.
In a first aspect, the present invention provides a robot network monitoring method, including:
the robot body collects self network health information, and meanwhile, based on a short-distance communication technology, the robot body shares the network health information with other robots in a preset range in a robot cluster;
the robot analyzes and judges the network state of the robot in real time according to a preset rule based on the acquired self network health information and the shared network health information, and identifies the network quality of the robot at present;
the robot simultaneously communicates data with the server for: the server collects network health data corresponding to the robot in real time and/or receives the network health data reported by the robot, analyzes and judges the network health state of the robot according to the network health data of the robot, and identifies the network health state of the robot; the network health data comprises network health data collected by the robot and/or network health data shared by the robot.
In a second aspect, the present invention further provides a robot network monitoring apparatus, including:
the data acquisition and sharing module is used for acquiring the network health information of the robot per se and sharing the network health information with other robots in a preset range in the robot cluster based on the near field communication technology;
the data studying and judging module is used for carrying out real-time analysis and judgment on the network state of the robot per se according to a preset rule based on the acquired network health information of the robot per se and the shared network health information obtained by sharing, and identifying the network quality of the robot per se at present;
a data interaction module for enabling the robot to perform data communication with the server while working for: the server collects network health data corresponding to the robot in real time and/or receives the network health data reported by the robot, analyzes and judges the network health state of the robot according to the network health data of the robot, and identifies the network health state of the robot; the network health data comprises network health data collected by the robot and/or network health data shared by the robot.
In a third aspect, the present invention further provides an electronic device, where the electronic device includes a memory and a processor, where the memory stores a robot network monitoring program that is executable on the processor, and the robot network monitoring program is executed by the processor to perform the robot network monitoring method.
In a fourth aspect, the present invention further provides a computer storage medium, where a robot network monitoring program is stored, and the robot network monitoring program may be executed by one or more processors to implement the steps of the robot network monitoring method.
The robot network monitoring method, the equipment and the storage medium can achieve the following beneficial effects:
the method comprises the steps that self network health information is collected through a robot body, and meanwhile, the robot body shares the network health information with other robots in a preset range in a robot cluster based on a near field communication technology; the robot analyzes and judges the network state of the robot in real time according to a preset rule based on the acquired self network health information and the shared network health information, and identifies the network quality of the robot at present; the robot simultaneously communicates data with the server for: the server collects network health data corresponding to the robot in real time and/or receives the network health data reported by the robot, analyzes and judges the network health state of the robot according to the network health data of the robot, and identifies the network health state of the robot; the purpose of accurately testing the network health state of the robot cluster is achieved, meanwhile, the monitoring system of the robot is perfected, the recognition rate and the processing efficiency of the network faults of the robot are improved, the timely discovery and alarm of the network faults are ensured, and the later maintenance and overhaul efficiency of the robot is improved; further, the work efficiency and the usability of the robot cluster are improved on the whole.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic flow chart diagram illustrating one embodiment of a robot network monitoring method of the present invention;
FIG. 2 is a schematic view of a scenario of an embodiment of a robot communicating with a server to share network health information in the robot network monitoring method according to the present invention;
FIG. 3 is a schematic view of a scenario of an embodiment of sharing network health information by communication connection between robots in the robot network monitoring method according to the present invention;
FIG. 4 is a functional block diagram of one embodiment of a robot network monitoring apparatus of the present invention;
fig. 5 is a schematic internal structure diagram of an embodiment of the electronic device of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The invention provides a robot network monitoring method, equipment and a storage medium, which are used for forming a multi-dimensional single-point network fault sensing system by establishing network health information sharing in a robot cluster and establishing network health data sharing between the robot cluster and a server, thereby achieving the purposes of monitoring the network state of a robot body in real time and accurately judging the reason of abnormality when the network is abnormal.
As shown in fig. 1, fig. 1 is a schematic flow chart of an embodiment of a robot network monitoring method according to the present invention; the robot network monitoring method of the present invention may be implemented as steps S10-S30 described as follows:
s10, the robot body collects self network health information, and meanwhile, based on the near field communication technology, the robot body shares the network health information with other robots in a preset range in the robot cluster;
in the embodiment of the invention, the functional module with the data acquisition function can be deployed in the robot body, so that the network health information corresponding to the network environment where the robot body is located can be acquired in real time, for example, the network communication quality data such as WiFi, 4G, 5G and the like can be acquired in real time. Wherein, the network health information corresponding to the robot includes but is not limited to: the robot body and an external wireless network monitor state data, such as: network delay, packet loss rate and the like requested by the network.
The robot can share the network health information based on the near field communication technology while collecting the network health information of the robot. For example, within a preset range corresponding to a communicable distance in the near field communication technology, the robot itself may share network health information with other robots in the robot cluster. The function of the robot for sharing the network monitoring information can also be realized by deploying corresponding sharing function modules in the robot body. The short-range communication technology described in the embodiments of the present invention includes, but is not limited to, short-range wireless communication technologies such as ZigBee, UWB, IrDA, and the like, as long as the short-range wireless communication technology can implement short-range multiplexing communication technology, and specific types of the short-range communication technologies in the following embodiments of the present invention will not be described again.
The robot can acquire the corresponding network health information of each robot in the robot cluster by acquiring and sharing the network health information acquired by other robots within a preset range. Furthermore, in order to distinguish and process the network health information corresponding to each robot, the unique identification codes corresponding to each robot can be synchronously carried while the corresponding network health information is collected and shared, so that the network health information corresponding to each robot can be searched and obtained by using the unique identification codes of the robots when needed.
Step S20, the robot analyzes and judges the self network state of the robot in real time according to a preset rule based on the collected self network health information and the shared network health information, and identifies the current network quality of the robot;
in the embodiment of the invention, the robot has a self-checking function, namely, the robot analyzes, judges and evaluates the network state of the robot in real time according to the network health information acquired by the robot and the shared network health information and a preset analysis rule or algorithm, so as to identify the current network quality of the robot.
For example, in a specific application scenario, the robot can compare the network health information of the robot with the overall data of the robot cluster according to the network health information and the shared network health information of the robot and a preset algorithm, so that the level of the network quality of the robot can be judged; and when the robot has network faults, possible fault reasons can be researched, analyzed and judged according to the self network health information and the shared network health information.
Step S30, the robot simultaneously performs data communication with the server for: the server collects network health data corresponding to the robot in real time and/or receives the network health data reported by the robot, analyzes and judges the network health state of the robot according to the network health data of the robot, and identifies the network health state of the robot.
The robot can simultaneously carry out data communication with the server while carrying out network health information sharing in the robot cluster, and meanwhile network health data sharing is established between the robot cluster and the server. When data communication is carried out between the robot cluster and the server, the server can acquire network health data corresponding to the robot in real time and/or receive the network health data reported by the robot; the network health data comprises network health data acquired by the robot and/or network health data shared by the robot; from the robot side, the robot can also actively report the network health data to the server.
And the server analyzes and judges the network health state of the robot according to the network health data of the robot, and identifies the network health state of the robot. Therefore, the server can accurately test and judge the real-time state of the robot.
Further, in one embodiment, the robot obtains the recognition result of the server on the network health state of the robot, and comprehensively evaluates the network health state of the robot by combining the network quality of the robot where the robot is currently located, which is obtained by robot recognition.
By using the method, network health data sharing can be established in the robot cluster, and meanwhile, network health data sharing is also established between the robot cluster and the server, so that a multi-dimensional single-point network fault perception system is formed. Under the monitoring system, the server can monitor the network health state inside and outside the robot cluster in real time. For a single storage robot, the health level of the robot network can be known by sharing the network health state of the robot cluster with other storage robot partners in real time, and even under the condition that external networks such as WIFI, 4G and the like are interrupted, the network health data can be shared through the short-distance wireless communication technology, so that the reason of network abnormality can be accurately judged when the robot has the network abnormality. The robot network monitoring method described by the embodiment of the invention effectively solves the problem that the network fault of the robot body is difficult to monitor.
Further, the sharing of network health status by the robot and the server may be as described with reference to the embodiment described in fig. 2. As shown in fig. 2, fig. 2 is a schematic view of a scenario of an embodiment of a robot in communication connection with a server to share network health information in the robot network monitoring method according to the present invention; in the embodiment shown in fig. 2, only one robot is taken as an example for description. In the embodiment of the present invention, in the communication process from the robot to the server, in order to improve the stability, availability, and efficiency of the communication, schemes such as CDN acceleration, reverse proxy, and the like may be used, and the embodiment of the present invention is not specifically limited to a specific communication mode between the robot and the server and a specific deployment mode of the server; for example, a local server may be directly deployed in a work site of the robot to implement network monitoring of the robot, or the server may be deployed in another location.
In the application scenario shown in fig. 2, S41 is a server, S42 is an offline warehousing robot, and for the service side, the server acquires network health data corresponding to a network state where the robot is located, acquires the network health data of the robot in real time, and acquires the network health data of other robots shared by the robot; in the embodiment of the invention, the server provides the data reporting endpoint and the state acquisition endpoint so that the robot can report the network health information of the robot in real time according to the data reporting endpoint and acquire the network health state information of the robot obtained by the server according to the state acquisition endpoint. From the robot side, the robot can actively report the self-collected network health information and the shared network health information through a data reporting endpoint provided by the server.
The server performs data processing on the acquired network health data to obtain robot network data after data processing; in one embodiment, the server may perform data processing on the network health data collected by the server and/or reported by the robot as follows: summarizing and sorting the network health data; according to preset data screening conditions, performing data cleaning and data sorting on partial data meeting the preset data screening conditions, and storing the partial data to a magnetic disk for persistent storage; and caching the partial data which does not meet the preset data screening condition into an internal memory after data processing. For example, data required for subsequent data analysis can be directly cached in the memory, so that the subsequent data analysis speed is increased, and the concurrent processing capacity of the server is improved; for the historical data subjected to network analysis processing, the part of data can be stored to a disk after being subjected to data cleaning and data sorting so as to be subjected to persistent storage of the data, and the historical data can be conveniently called when the historical data needs to be inquired subsequently; partial data can be cached in the memory, so that the speed of subsequent data analysis is increased, and the concurrency capability is improved.
And the server combines the robot network data and the summarized data related to the robot, analyzes the network monitoring state of the robot, and obtains the network health state information corresponding to the robot according to the analysis result. For example, in a specific application scenario, after the server collects robot data of the whole warehouse, the server can study and judge the network monitoring state of a single robot by combining the summarized data of the area where the warehouse is located, and even all the summarized data of the whole network. The analysis can be integrated into more information such as the quality of the area network and the average hardware quality of the robot, and the real-time state of the robot can be more accurately tested, analyzed and judged. In an embodiment of the present invention, the summarized data related to the robot includes, but is not limited to: the robot corresponds to the summarized data of the area where the warehouse is located and/or the summarized data of the whole network corresponding to the robot; wherein the summarized data comprises: the system comprises the regional network quality of the region where the warehouse is located, the overall network quality corresponding to the region where the warehouse is located and the average hardware quality of the robot.
The server in the embodiment of the invention provides a data reporting endpoint for reporting data externally and a state acquiring endpoint for acquiring the analysis and judgment result of the network health state of the robot, the robot reports the network health state data in real time through the data reporting endpoint, and when the analysis and judgment result of the server needs to be acquired, the evaluation suggestion information of the server on the network health state of the robot can be pulled through the state acquiring endpoint. The following processing modes of the robot are adopted: the real-time network health state data are reported by the data reporting end point of the server actively, and when the robot carries out network state test and analysis judgment, the state acquisition end point of the server can be requested to acquire the analysis judgment suggestion of the server, so that the accuracy of the judgment result of the robot network state analysis method is improved.
Further, sharing network health information among clusters of robots may be as described with reference to the embodiment described in fig. 3. As shown in fig. 3, fig. 3 is a schematic view of a scenario of an embodiment of sharing network health information by communication connection between robots in the robot network monitoring method according to the present invention; in the embodiment shown in fig. 3, only three robots S21, S22 and S23 in the robot cluster are taken as an example for description.
In the embodiment of the invention, when the robot shares the network health information with other robots in the preset range in the robot cluster based on the near field communication technology, the robot can establish the data sharing endpoint in advance and carry out data communication with the other robots through the data sharing endpoint.
When the distance between the robot and other robots reaches a preset near field communication range, the data sharing end points of the robots detect the existence of the data sharing end points of other robots, and then the robots are automatically connected to establish a bidirectional data channel with other robots; and based on the established bidirectional data channel, the robots share network health information with each other in real time within the preset close-range communication range. In the embodiment of the present invention, because the communication ranges required by different types of short-range wireless communication technologies are different, the specific value of the preset short-range communication range is not limited in the embodiment of the present invention.
For example, in the embodiment shown in fig. 3, data sharing among the three robots S21, S22 and S23 is implemented based on data sharing function modules deployed inside the three robots. The S21 robot can establish a data sharing endpoint through its own data sharing function module. When the distance between the S22 robot and the S21 robot is close enough to reach the range of the currently used near field communication, the data sharing function module of the S22 robot can detect the existence of the data sharing endpoint of the S21 robot and automatically connect to establish a bidirectional data channel with the S21 robot. As long as the distance between the S21 robot and the S22 robot is always within the range in which the short-range communication connection is effective, the data of the network health status can be shared in real time with each other. S23 is another robot, and when it approaches the S21 robot or the S22 robot (in this application scenario, this distance may be understood as the maximum distance defined by the proximity communication), the data sharing endpoint of the S21 robot or the S22 robot can be automatically sensed. In the embodiment of the invention, the data sharing module of the robot can establish a multiplex data channel, so that the S23 robot can simultaneously and respectively carry out communication connection with the S21 robot and the S22 robot, and network health state data of the robots are shared. Thus, the three robots S21, S22 and S23 form a local data sharing network in the short-range communication range corresponding to the short-range wireless communication technology, and the robots can know the overall network states of all the robots in the sharing network area in real time through the sharing network, so that the network instability factors caused by the situations of actual environment interference, unstable external communication hardware state and the like of the individual robots can be eliminated, and the network states of the robots can be accurately tested. Even when the robot has network abnormality, the specific reason of the robot network fault can be accurately judged based on the shared network corresponding to the robot cluster.
The robot network monitoring method of the invention collects the self network health information through the robot body, and simultaneously shares the network health information with other robots in a preset range in a robot cluster based on the near field communication technology; the robot analyzes and judges the network state of the robot in real time according to a preset rule based on the acquired self network health information and the shared network health information, and identifies the network quality of the robot at present; the robot simultaneously communicates data with the server for: the server collects network health data corresponding to the robot in real time and/or receives the network health data reported by the robot, analyzes and judges the network health state of the robot according to the network health data of the robot, and identifies the network health state of the robot; the purpose of accurately testing the network health state of the robot cluster is achieved, meanwhile, the monitoring system of the robot is perfected, the recognition rate and the processing efficiency of the network faults of the robot are improved, the timely discovery and alarm of the network faults are ensured, and the later maintenance and overhaul efficiency of the robot is improved; further, the work efficiency and the usability of the robot cluster are improved on the whole.
Corresponding to the robot network monitoring method described in the above embodiments, the embodiment of the present invention further provides a robot network monitoring apparatus; as shown in fig. 4, fig. 4 is a functional module schematic diagram of an embodiment of the robot network monitoring device of the present invention; fig. 4 only describes a robot network monitoring apparatus of the present invention in terms of functions.
In the embodiment shown in fig. 4, the robot network monitoring apparatus functionally includes:
the data acquisition and sharing module 100 is used for acquiring network health information of the robot, and meanwhile, sharing the network health information with other robots in a preset range in the robot cluster based on a near field communication technology;
the data studying and judging module 200 is used for analyzing and judging the network state of the robot in real time according to a preset rule based on the acquired network health information of the robot and the shared network health information obtained by sharing, and identifying the network quality of the robot at present;
a data interaction module 300 for enabling the robot to perform data communication with a server while working for: the server collects network health data corresponding to the robot in real time and/or receives the network health data reported by the robot, analyzes and judges the network health state of the robot according to the network health data of the robot, and identifies the network health state of the robot; the network health data comprises network health data collected by the robot and/or network health data shared by the robot.
In one embodiment, the data judging module 200 is configured to:
and acquiring the recognition result of the server on the network health state of the robot, and comprehensively evaluating the network health state of the robot by combining the network quality of the robot, where the robot is currently located, obtained by robot recognition.
In one embodiment, the data interaction module 300 is configured to:
data communication with a server for the server to:
acquiring network health data corresponding to a network state where the robot is located, acquiring the network health data of the robot in real time, and acquiring the network health data of other robots shared by the robot;
performing data processing on the acquired network health data to obtain robot network data after data processing;
and combining the robot network data and the summarized data related to the robot, analyzing the network monitoring state of the robot, and obtaining the network health state information corresponding to the robot according to the analysis result.
In one embodiment, the data interaction module 300 is configured to:
data communication with a server for the server to:
and providing a data reporting endpoint and a state acquisition endpoint for the robot to report the network health information of the robot in real time according to the data reporting endpoint and acquiring the network health state information of the robot analyzed by the server according to the state acquisition endpoint.
In one embodiment, the data interaction module 300 is configured to:
data communication with a server for the server to:
summarizing and sorting the acquired network health data corresponding to each robot;
according to preset data screening conditions, performing data cleaning and data sorting on partial data meeting the preset data screening conditions, and storing the partial data to a magnetic disk for persistent storage; and caching the partial data which does not meet the preset data screening condition into an internal memory after data processing.
In one embodiment, the summary data relating to the robot includes:
the robot corresponds to the summarized data of the area where the warehouse is located and/or the summarized data of the whole network corresponding to the robot; wherein the summarized data comprises: the system comprises the regional network quality of the region where the warehouse is located, the overall network quality corresponding to the region where the warehouse is located and the average hardware quality of the robot.
In one embodiment, the data acquisition and sharing module 100 is configured to:
pre-establishing a data sharing endpoint;
when the distance between the robot and other robots reaches a preset near field communication range, the data sharing end points of the robots detect the existence of the data sharing end points of other robots, and then the robots are automatically connected to establish a bidirectional data channel with other robots;
and based on the established bidirectional data channel, the robots share network health information with each other in real time within the preset close-range communication range.
The robot network monitoring device acquires the network health information of the robot body through the robot body, and simultaneously shares the network health information with other robots in a preset range in a robot cluster based on a short-distance communication technology; the robot analyzes and judges the network state of the robot in real time according to a preset rule based on the acquired self network health information and the shared network health information, and identifies the network quality of the robot at present; the robot simultaneously communicates data with the server for: the server collects network health data corresponding to the robot in real time and/or receives the network health data reported by the robot, analyzes and judges the network health state of the robot according to the network health data of the robot, and identifies the network health state of the robot; the purpose of accurately testing the network health state of the robot cluster is achieved, meanwhile, the monitoring system of the robot is perfected, the recognition rate and the processing efficiency of the network faults of the robot are improved, the timely discovery and alarm of the network faults are ensured, and the later maintenance and overhaul efficiency of the robot is improved; further, the work efficiency and the usability of the robot cluster are improved on the whole.
The invention also provides an electronic device, which can monitor the network health status of the robot in real time according to the robot network monitoring method shown in fig. 1. Fig. 5 is a schematic diagram of the internal structure of an embodiment of the electronic device of the present invention, as shown in fig. 5.
In the present embodiment, the electronic device 1 may be a PC (Personal Computer), or may be a terminal device such as a smartphone, a tablet Computer, or a mobile Computer. The electronic device 1 comprises at least a memory 11, a processor 12, a communication bus 14, and a network interface 13.
The memory 11 includes at least one type of readable storage medium, which includes a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, and the like. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, for example a hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in hard disk provided on the electronic device 1, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only to store application software installed in the electronic device 1 and various types of data, such as a code of the robot network monitoring program 01, but also to temporarily store data that has been output or is to be output.
The processor 12 may be a Central Processing Unit (CPU), a controller, a microcontroller, a microprocessor or other data Processing chip in some embodiments, and is used for executing program codes stored in the memory 11 or Processing data, such as executing the robot network monitoring program 01.
The communication bus 14 is used to enable connection communication between these components.
The network interface 13 may optionally comprise a standard wired interface, a wireless interface (e.g. WI-FI interface), typically used for establishing a communication connection between the electronic device 1 and other electronic devices.
Optionally, the electronic device 1 may further comprise a user interface, the user interface may comprise a Display (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface may further comprise a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the electronic device 1 and for displaying a visualized user interface, among other things.
Fig. 5 shows only the electronic device 1 with the components 11-14 and the robot network monitoring program 01, and it will be understood by those skilled in the art that the structure shown in fig. 5 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or some components may be combined, or a different arrangement of components.
Based on the description of the embodiments of fig. 1 to 4, in the embodiment of the electronic device 1 shown in fig. 5, a robot network monitoring program 01 is stored in the memory 11; the robot network monitoring program 01 stored in the memory 11 is executable on the processor 12, and when executed by the processor 12, the robot network monitoring program 01 implements the following steps:
the robot body collects self network health information, and meanwhile, based on a short-distance communication technology, the robot body shares the network health information with other robots in a preset range in a robot cluster;
the robot analyzes and judges the network state of the robot in real time according to a preset rule based on the acquired self network health information and the shared network health information, and identifies the network quality of the robot at present;
the robot simultaneously communicates data with the server for: the server collects network health data corresponding to the robot in real time and/or receives the network health data reported by the robot, analyzes and judges the network health state of the robot according to the network health data of the robot, and identifies the network health state of the robot; the network health data comprises network health data collected by the robot and/or network health data shared by the robot.
In one embodiment, the robot network monitoring program 01 may be further executed by the processor 12 to implement the following steps:
and acquiring the recognition result of the server on the network health state of the robot, and comprehensively evaluating the network health state of the robot by combining the network quality of the robot, where the robot is currently located, obtained by robot recognition.
In one embodiment, the robot network monitoring program 01 may be further executed by the processor 12 to implement the following steps:
data communication with a server for the server to:
acquiring network health data corresponding to a network state where the robot is located, acquiring the network health data of the robot in real time, and acquiring the network health data of other robots shared by the robot;
performing data processing on the acquired network health data to obtain robot network data after data processing;
and combining the robot network data and the summarized data related to the robot, analyzing the network monitoring state of the robot, and obtaining the network health state information corresponding to the robot according to the analysis result.
In one embodiment, the robot network monitoring program 01 may be further executed by the processor 12 to implement the following steps:
data communication with a server for the server to:
and providing a data reporting endpoint and a state acquisition endpoint for the robot to report the network health information of the robot in real time according to the data reporting endpoint and acquiring the network health state information of the robot analyzed by the server according to the state acquisition endpoint.
In one embodiment, the robot network monitoring program 01 may be further executed by the processor 12 to implement the following steps:
data communication with a server for the server to:
summarizing and sorting the acquired network health data corresponding to each robot;
according to preset data screening conditions, performing data cleaning and data sorting on partial data meeting the preset data screening conditions, and storing the partial data to a magnetic disk for persistent storage; and caching the partial data which does not meet the preset data screening condition into an internal memory after data processing.
In one embodiment, the summary data relating to the robot includes:
the robot corresponds to the summarized data of the area where the warehouse is located and/or the summarized data of the whole network corresponding to the robot; wherein the summarized data comprises: the system comprises the regional network quality of the region where the warehouse is located, the overall network quality corresponding to the region where the warehouse is located and the average hardware quality of the robot.
In one embodiment, the robot network monitoring program 01 may be further executed by the processor 12 to share network health information with other robots within a preset range in the robot cluster based on the near field communication technology, including:
the robot establishes a data sharing endpoint in advance;
when the distance between the robot and other robots reaches a preset near field communication range, the data sharing end points of the robots detect the existence of the data sharing end points of other robots, and then the robots are automatically connected to establish a bidirectional data channel with other robots;
and based on the established bidirectional data channel, the robots share network health information with each other in real time within the preset close-range communication range.
The electronic equipment acquires the network health information of the electronic equipment through the robot body, and simultaneously shares the network health information with other robots in a preset range in a robot cluster based on a near field communication technology; the robot analyzes and judges the network state of the robot in real time according to a preset rule based on the acquired self network health information and the shared network health information, and identifies the network quality of the robot at present; the robot simultaneously communicates data with the server for: the server collects network health data corresponding to the robot in real time and/or receives the network health data reported by the robot, analyzes and judges the network health state of the robot according to the network health data of the robot, and identifies the network health state of the robot; the purpose of accurately testing the network health state of the robot cluster is achieved, meanwhile, the monitoring system of the robot is perfected, the recognition rate and the processing efficiency of the network faults of the robot are improved, the timely discovery and alarm of the network faults are ensured, and the later maintenance and overhaul efficiency of the robot is improved; further, the work efficiency and the usability of the robot cluster are improved on the whole.
Furthermore, an embodiment of the present invention further provides a computer storage medium, where a robot network monitoring program is stored on the computer storage medium, and the robot network monitoring program may be executed by one or more processors to implement the following operations:
the robot body collects self network health information, and meanwhile, based on a short-distance communication technology, the robot body shares the network health information with other robots in a preset range in a robot cluster;
the robot analyzes and judges the network state of the robot in real time according to a preset rule based on the acquired self network health information and the shared network health information, and identifies the network quality of the robot at present;
the robot simultaneously communicates data with the server for: the server collects network health data corresponding to the robot in real time and/or receives the network health data reported by the robot, analyzes and judges the network health state of the robot according to the network health data of the robot, and identifies the network health state of the robot; the network health data comprises network health data collected by the robot and/or network health data shared by the robot.
The specific implementation manner of the computer-readable storage medium of the present invention is substantially the same as the implementation principle of the embodiments corresponding to the robot network monitoring method and the electronic device, and will not be described herein repeatedly.
Those skilled in the art will appreciate that the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A robot network monitoring method is characterized by comprising the following steps:
the robot body collects self network health information, and meanwhile, based on a short-distance communication technology, the robot body shares the network health information with other robots in a preset range in a robot cluster;
the robot analyzes and judges the network state of the robot in real time according to a preset rule based on the acquired self network health information and the shared network health information, and identifies the network quality of the robot at present;
the robot simultaneously communicates data with the server for: the server collects network health data corresponding to the robot in real time and/or receives the network health data reported by the robot, analyzes and judges the network health state of the robot according to the network health data of the robot, and identifies the network health state of the robot; the network health data comprises network health data collected by the robot and/or network health data shared by the robot.
2. The robot network monitoring method of claim 1, further comprising:
and the robot acquires the recognition result of the server on the network health state of the robot, and comprehensively evaluates the network health state of the robot by combining the network quality of the robot, which is obtained by robot recognition, at the current position.
3. The robot network monitoring method of claim 1, further comprising:
the method comprises the steps that a server collects network health data corresponding to a network state where the robot is located, the network health data of the robot is obtained in real time, and meanwhile network health data of other robots shared by the robot are obtained;
the server performs data processing on the acquired network health data to obtain robot network data after data processing;
and the server combines the robot network data and the summarized data related to the robot, analyzes the network health state of the robot, and obtains the network health state information corresponding to the robot according to the analysis result.
4. The robot network monitoring method of claim 3, further comprising:
the server provides a data reporting endpoint and a state acquisition endpoint for the robot to report the network health information of the robot in real time according to the data reporting endpoint and acquire the network health state information of the robot analyzed by the server according to the state acquisition endpoint.
5. The robot network monitoring method according to claim 3, wherein the server performs data processing on the acquired network health data to obtain data-processed robot network data, and the data processing comprises:
the server collects and sorts the acquired network health data corresponding to each robot;
according to preset data screening conditions, performing data cleaning and data sorting on partial data meeting the preset data screening conditions, and storing the partial data to a magnetic disk for persistent storage; and caching the partial data which does not meet the preset data screening condition into an internal memory after data processing.
6. A robot network monitoring method according to claim 3, wherein the summarized data relating to the robot includes:
the robot corresponds to the summarized data of the area where the warehouse is located and/or the summarized data of the whole network corresponding to the robot; wherein the summarized data comprises: the system comprises the regional network quality of the region where the warehouse is located, the overall network quality corresponding to the region where the warehouse is located and the average hardware quality of the robot.
7. A robot network monitoring method according to any one of claims 1 to 6, wherein the sharing of network health information with other robots within a preset range in a robot cluster based on near field communication technology comprises:
the robot establishes a data sharing endpoint in advance;
when the distance between the robot and other robots reaches a preset near field communication range, the data sharing end points of the robots detect the existence of the data sharing end points of other robots, and then the robots are automatically connected to establish a bidirectional data channel with other robots;
and based on the established bidirectional data channel, the robots share network health information with each other in real time within the preset close-range communication range.
8. A robot network monitoring apparatus, characterized by comprising:
the data acquisition and sharing module is used for acquiring the network health information of the robot per se and sharing the network health information with other robots in a preset range in the robot cluster based on the near field communication technology;
the data studying and judging module is used for carrying out real-time analysis and judgment on the network state of the robot per se according to a preset rule based on the acquired network health information of the robot per se and the shared network health information obtained by sharing, and identifying the network quality of the robot per se at present;
a data interaction module for enabling the robot to perform data communication with the server while working for: the server collects network health data corresponding to the robot in real time and/or receives the network health data reported by the robot, analyzes and judges the network health state of the robot according to the network health data of the robot, and identifies the network health state of the robot; the network health data comprises network health data collected by the robot and/or network health data shared by the robot.
9. An electronic device, comprising a memory and a processor, wherein the memory stores a robot network monitoring program operable on the processor, and the robot network monitoring program, when executed by the processor, performs the robot network monitoring method according to any one of claims 1 to 7.
10. A computer storage medium having stored thereon a robot network monitoring program executable by one or more processors to perform the steps of the robot network monitoring method of any one of claims 1 to 7.
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| CN202010219160.0A CN111093176B (en) | 2020-03-25 | 2020-03-25 | Robot network monitoring method, device and storage medium |
| PCT/CN2021/077344 WO2021190220A1 (en) | 2020-03-25 | 2021-02-23 | Robot network monitoring method, device, and storage medium |
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| CN111093176B (en) * | 2020-03-25 | 2020-07-07 | 炬星科技（深圳）有限公司 | Robot network monitoring method, device and storage medium |
| CN111917841B (en) * | 2020-07-15 | 2023-06-16 | 炬星科技（深圳）有限公司 | Method for constructing network point cloud picture, robot, equipment and storage medium |
| CN113776791A (en) * | 2021-08-04 | 2021-12-10 | 深圳优地科技有限公司 | Method and device for monitoring health state of robot, robot and storage medium |
| CN115576259A (en) * | 2022-11-08 | 2023-01-06 | 河北轨道运输职业技术学院 | Storage and transportation robot control method |
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