CN115222181A

CN115222181A - Robot operation state monitoring system and method

Info

Publication number: CN115222181A
Application number: CN202110743456.7A
Authority: CN
Inventors: 曹明明; 孙睿超; 王昕玮
Original assignee: Cloudminds Shanghai Robotics Co Ltd
Current assignee: Data Robotics Zhuhai Co ltd
Priority date: 2021-06-30
Filing date: 2021-06-30
Publication date: 2022-10-21
Anticipated expiration: 2041-06-30
Also published as: WO2023273461A1; CN115222181B

Abstract

The embodiment of the invention relates to the technical field of artificial intelligence, and discloses a system and a method for monitoring the operation state of a robot, wherein the system comprises the following components: the data acquisition module is used for acquiring performance data and business operation data of the target robot, generating an operation log according to the performance data and the business operation data, and sending the operation log to the cloud server; the cloud server is used for analyzing the operation logs, determining the operation state information of the target robot and sending the operation state information to the display terminal; and the display terminal is used for displaying the running state information. Through the system, the embodiment of the invention improves the efficiency of monitoring the operation state of the robot.

Description

Robot operation state monitoring system and method

Technical Field

The embodiment of the invention relates to the technical field of artificial intelligence, in particular to a system and a method for monitoring the operation state of a robot.

Background

With the development of artificial intelligence technology, robots of various types and functions are widely used, and in order to ensure that the robot works normally and efficiently, the running state of the robot needs to be monitored in time.

At present, the robot is generally monitored in a robot body, whether errors exist in a logic level or not is mainly monitored, the running state of a robot hardware level is not monitored, and certain potential safety hazards exist. In addition, the robot body monitors and analyzes data, so that the data processing amount of a robot processor is increased, interconnection of an operation state to a cloud network and a mobile terminal is not realized, and inconvenience is brought to data storage and sharing and operation and management of management personnel.

Disclosure of Invention

In view of the foregoing problems, embodiments of the present invention provide a system and a method for monitoring a robot operating state, which are used to solve the problem in the prior art that the efficiency of monitoring the robot operating state is low.

According to an aspect of an embodiment of the present invention, there is provided a robot operation state monitoring system, including: a data acquisition module of the target robot, a display terminal and a cloud server, wherein,

the data acquisition module is used for acquiring performance data and service operation data of the target robot;

the data acquisition module is further used for generating an operation log according to the performance data and the service operation data and sending the operation log to the cloud server;

the cloud server is used for analyzing the operation log, determining the operation state information of the target robot, and sending the operation state information to the display terminal;

and the display terminal is used for displaying the running state information.

In an optional manner, the display terminal is further configured to receive a management operation request input by a user, determine a data query request according to the management operation request, and send the data query request to the cloud server;

the cloud server is further used for sending the running state information to the display terminal according to the data query request.

In an alternative mode, the target robot comprises an instruction input module and a body server;

the data acquisition module also comprises a data acquisition unit, a log generation unit, a data storage unit and a data reporting unit, wherein,

a data acquisition unit for acquiring the performance data from the ontology server;

the data acquisition unit is further used for acquiring the service operation data from the instruction input module;

the data acquisition unit is further configured to acquire a reporting rule from the cloud server and send the reporting rule to the data reporting unit;

a log generating unit, configured to generate the running log according to the performance data and the service operation data;

the data storage unit is used for storing the running log;

and the data reporting unit is used for sending the running log to the cloud server according to the reporting rule.

In an alternative mode, the performance data and the business operation data include a robot identification of a target robot, a collection time, a collection object name, and collection parameter information; the running log comprises the robot identification, the acquisition time, the name of an acquisition object, the type of the acquisition object, the type of acquisition information and object state information; the type of the acquisition object is a business operation type or a performance type; the collected information type comprises input information, output information and intermediate logic information;

the log generation unit is further used for determining the type of the acquisition object according to the name of the acquisition object;

the log generating unit is further configured to determine the object state information and the type of the acquisition information according to the acquisition object name and the acquisition parameter information.

In an optional manner, the operation state information includes an alarm reminding information; the cloud server further comprises:

the data receiving unit is used for receiving the operation log and sending the operation log to the data analysis unit;

the data analysis unit is used for determining the name of the acquisition object, the type of the acquisition object and the alarm rule corresponding to the type of the acquisition information;

the data analysis unit is further used for carrying out alarm analysis on the robot identification, the acquisition time and the object state information according to the alarm rule to obtain the alarm reminding information;

and the information pushing unit is used for sending the alarm reminding information to the display terminal.

In an optional manner, the operation status information further includes service statistical information and a comprehensive analysis report;

the data analysis unit is further configured to perform statistical analysis on the operation log in which the acquisition object type is a service operation type, so as to obtain the service statistical information;

the data analysis unit is further configured to generate the comprehensive analysis report according to the service statistical information and the alarm reminding information;

the information pushing unit is further used for sending the comprehensive analysis report to the display terminal.

In an optional manner, the display terminal includes:

the alarm reminding unit is used for executing a preset reminding action when the alarm reminding information is received;

the interactive unit is used for receiving a management operation request and determining the data query request according to the management operation request;

the interaction unit is further used for displaying the comprehensive analysis report when the comprehensive analysis report is received.

According to another aspect of the embodiments of the present invention, there is provided a robot operation state monitoring method, where the robot operation state monitoring system in the foregoing embodiments is applied, the method including:

acquiring performance data and business operation data of a target robot through a data acquisition module;

generating an operation log according to the performance data and the service operation data through the data acquisition module;

analyzing the operation log through a cloud server, determining operation state information of the target robot, and sending the operation state information to a display terminal;

and displaying the running state information through a display terminal.

In an alternative manner, the performance data and the business operation data include a robot identification of a target robot, a collection time, a collection object name, and collection parameter information; the running log comprises the robot identification, the acquisition time, the name of an acquisition object, the type of the acquisition object, the type of acquisition information and object state information; the type of the acquisition object is a business operation type or a performance type; the collected information type comprises input information, output information and intermediate logic information;

the method further comprises the following steps:

determining the type of the acquisition object according to the name of the acquisition object;

and determining the object state information and the acquisition information type according to the acquisition object name and the acquisition parameter information.

In an optional manner, the operation state information includes an alarm reminding information; the method further comprises the following steps:

receiving the running log;

determining alarm rules corresponding to the collection object names, the collection object types and the collection information types;

performing alarm analysis on the robot identification, the acquisition time and the object state information according to the alarm rule to obtain the alarm reminding information;

and sending the alarm reminding information to the display terminal.

The robot operation state monitoring system comprises a target robot data acquisition module, a display terminal and a cloud server, wherein the target robot data acquisition module is used for acquiring performance data and service operation data of a target robot, and then generating an operation log according to the performance data and the service operation data, and the operation log represents basic information of the robot on component performance and service operation; and then sending the running log to a cloud server. The cloud server is used for analyzing the operation logs, so that the operation state information of the target robot is determined, the operation state information is returned to the display terminal, and finally the operation state information is displayed through the display terminal, so that the remote monitoring and state analysis of the operation state of the robot are realized, the abnormal conditions of the robot in operation are timely and effectively found, the operation data of the robot and the analysis conditions of user experience can be obtained, and the updating and optimization of robot products are facilitated.

The embodiment of the invention can generate the operation log according to the performance data of the robot and the service operation data reflecting the operation state through the data acquisition module, and comprehensively analyze the operation log generated by the data acquisition module through the cloud server, thereby realizing the remote monitoring of the operation state of the robot, realizing the display of the analysis result of the cloud server by the display terminal, further realizing the remote monitoring and information interconnection of the operation state of the robot, enabling a user to timely and effectively find the abnormal condition in the operation of the robot, the operation data of the robot and the analysis condition of user experience, and improving the monitoring efficiency of the operation state of the robot.

The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and the embodiments of the present invention can be implemented according to the content of the description in order to make the technical means of the embodiments of the present invention more clearly understood, and the detailed description of the present invention is provided below in order to make the foregoing and other objects, features, and advantages of the embodiments of the present invention more clearly understandable.

Drawings

The drawings are only for purposes of illustrating 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 is a schematic structural diagram illustrating a robot operation state monitoring system according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram illustrating a robot operation state monitoring system according to another embodiment of the present invention;

fig. 3 shows a flowchart of a robot operation state monitoring method according to an embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein.

Fig. 1 shows a structural diagram of a robot operation state monitoring system according to an embodiment of the present invention. The system is used for monitoring and managing the target robot. As shown in fig. 1, the system includes the following parts:

the system comprises a data acquisition module 101, a cloud server 102 and a display terminal 103. The robot operation state monitoring system can manage at least one target robot, and the data acquisition module 101 is a module in the target robot.

The data acquisition module 101 is configured to acquire performance data and service operation data of the target robot.

In one embodiment of the present invention, the data acquisition module 101 is disposed on the target robot and establishes a connection with the body of the target robot, the body server, and the instruction input module. The body is used for the target robot to execute instructions, the body server is used for instruction processing, and the instruction input module is an operation interface of the target robot and used for receiving external instructions.

The data collection module 101 starts to collect the performance data and the business operation data in real time or periodically after detecting the target robot is started.

The performance data refers to input and output data collected on a component of the target robot and is used for representing information such as sensing parameters of the component, such as the running state and the temperature, and information flow; the components and parts may include various sensors such as radar and ultrasound on the robot, and the performance data may include link transmission data, temperature, electric quantity, status bits, CPU utilization rate, disk space, network status, and the like.

The service operation data includes instruction data input on an instruction input interface of the target robot, one service refers to one action or task performed by the robot, and one service corresponds to a plurality of pieces of instruction data. The service operation data is used for reflecting service instructions received and sent by the components and service data processed by the components. The instruction input mode can be visual input, voice input, manual input, text input or preset program input, and the input instruction data can include operator information, instruction input mode, input interface dwell time, instruction operation mode, information feedback, uplink and downlink information, and the like. The instruction operation mode includes execution time, execution object, execution logic, expected result, and the like of the instruction.

The data acquisition module 101 is further configured to generate an operation log according to the performance data and the service operation data, and send the operation log to the cloud server.

In yet another embodiment of the present invention, a target robot includes an instruction input module, a body server; referring to fig. 2, the data acquisition module 101 further includes:

a data obtaining unit 1011, configured to obtain the performance data from the ontology server.

In one embodiment of the present invention, the performance data may include link state data, and the collection process includes the following steps: the data acquisition Unit 1011 is connected to a robot body server, the body server is connected to an ECU (Electronic Control Unit) on the body, the ECU is connected to an actuator and a sensor through a CAN bus, and the ECUs on the body are connected through an ethernet. And sending a collection instruction through the data acquisition unit, judging whether the link is normal according to whether the network can communicate by the IP address corresponding to each component of Ping. Wherein, the acquisition instruction may be ping192.168.1.200.

In yet another embodiment of the present invention, the performance data may further include ultrasound data, the acquisition process of which includes the following: the data acquisition Unit 1011 is connected to a CCU (Communication Control Unit), and acquires real-time ultrasound data by a rotopic echo/XR 1/ultrasound instruction in the CCU, and writes the real-time ultrasound data into an operation log. The robot is used for receiving messages which can be issued to the topics by each node and message instructions sent by each topic to the nodes subscribing to the topic.

In yet another embodiment of the present invention, the performance data may further include radar link data, and the acquisition process includes the following steps: the data acquisition unit 1011 is connected with the lsusb to check serial ports between the robot body server and the radar, and writes states into running logs. Wherein the acquisition instruction may be lsusb grep CP210x wc-l, wherein the lsusb instruction is used as a means to display USB bus information in and connected to the system.

The data obtaining unit 1011 is further configured to obtain the service operation data from the instruction input module.

In an embodiment of the present invention, the data obtaining unit 1011 may monitor the instruction input module, and obtain corresponding service operation data each time an instruction input operation is obtained.

The data obtaining unit 1011 is further configured to obtain a reporting rule from the cloud server, and send the reporting rule to the data reporting unit.

In an embodiment of the present invention, after detecting that the target robot is powered on, the data obtaining unit 1011 establishes a communication connection with the cloud server 103, sends the robot identifier of the target robot to the cloud server 103, and receives a reporting rule corresponding to the robot identifier returned by the cloud server 103.

In another embodiment of the present invention, the reporting rule includes information such as a reporting period, a data amount reported each time, and a data format reported.

A log generating unit 1012, configured to generate the running log according to the performance data and the service operation data.

In one embodiment of the invention, the performance data and the business operation data comprise a robot identification of the target robot, a collection time, a collection object name and collection parameter information.

Wherein the robot identifier is used to specifically distinguish the respective robots. The acquisition time is the time at which the data acquisition unit 1011 acquires data. The collection object may be the name of each component in the target robot, such as an audio-body speaker or a 2D camera-head, or the name of a service, such as movement or cleaning. The collected parameter information refers to the collected original parameter field and the corresponding field value, for example, the temperature collected by the 2D camera-head is 23 degrees, and the instruction information corresponding to the business movement is handshake or completion.

In yet another embodiment of the present invention, the generated execution log includes a robot identification, a collection time, a collection object name, a collection object type, a collection information type, and object status information.

The acquisition object type comprises a business operation type and a performance type; the type of the collected object can be determined according to the data collection source, when the data is collected in the instruction input interface, the data is determined to be a service operation type, and when the data is collected in the body and the body server, the data is determined to be a performance type.

The object state information is used for representing the state determined by the parameters of the acquisition object. In yet another embodiment of the present invention, the object status information may further include a status code, an information code, and text comment information of the collection object.

The state code is used for representing whether the state of the acquisition object is abnormal or not, and may include three values of 0,1 and 2, which are used for representing normality, warning and error respectively.

The information code may be a character string with preset digits, wherein a first digit value of the character string is consistent with the state code, and values of remaining digits are used to represent a type or an interval corresponding to the collected parameter information, for example, the information code of the 2D camera-head may be 1001, where 1 represents that a warning occurs in the current parameter state, 001 represents an interval where the collected temperature information is located, and the text annotation information is used to represent interpretation information corresponding to the information code, and as mentioned above, 1001 represents that the temperature is greater than 50 degrees.

The collected information types comprise input information, output information and intermediate logic information; the intermediate logic information refers to intermediate data generated when the parameter is logically calculated inside the robot, and is not data output or input from the outside. The type of the collected information is recorded, so that the processing data flow of the target robot can be better restored through the operation log, and the tracing of the abnormal reason is carried out.

In yet another embodiment of the present invention, the data storage in the log may be as shown in Table 1:

TABLE 1

With reference to table 1, for example, regarding acquisition of a link state, a state determination condition in the log generating unit 1012 is whether Ping can be performed, and text annotation information corresponding to an information code in an operation log includes: 0000, ping go, or 2001, ping do not go. The running log corresponding to the output of the link state can be: GINGERXR-1 XXXXXXXXXXXXGIN 02S2115000020, 1620893268, CCU, INPUT, PERFORMANCE, 0000, ping OK.

For the acquired ultrasound data, the state determination condition in the log generation unit 1012 is True or False; running the information codes in the log and corresponding text annotation information: 0000, true or 2001, false.

The corresponding output log of the ultrasound data may be GINGERXR-1 XXXXXXXXXXXXGIN 02S2115000020, 1620893268, ultrasonic1, output, performance, 0000,2.5499.

For the acquired radar link data, the state judgment condition in the log generation unit 1012 is 1or 0; the state code and its corresponding text annotation information is 0000,1 or 2001,0.

The output log is GINGERXR-1 XXXXXXXXXXXXGIN 02S2115000020, 1620893268, radar, output, performance, 0000, OK.

In an embodiment of the present invention, the log generating unit 1012 is further configured to determine the type of the collection object according to the collection object name.

And looking up a table in a component and function configuration table corresponding to the target robot according to the name of the collection object to obtain the corresponding type of the collection object.

The log generating unit 1012 is further configured to determine the object state information and the type of the collecting information according to the collecting object name and the collecting parameter information.

In one embodiment of the invention, a state threshold corresponding to the collection parameter field is determined according to the collection object name and the collection parameter information, and the field value corresponding to the parameter field is compared with the state threshold to determine the object state information.

And a data storage unit 1013 configured to store the operation log.

In an embodiment of the present invention, the running log may be stored in a cvs (Comma-Separated Values) format, where each row of cvs records includes at least the following fields: robot identification, acquisition time, acquisition object name, acquisition object type, acquisition information type, and object state information.

A data reporting unit 1014, configured to send the operation log to the cloud server 103 according to the reporting rule.

In an embodiment of the present invention, the data reporting unit 1014 performs splitting and combining on the operation logs according to the reporting rule, and then sends the operation logs to the cloud server 103.

In another embodiment of the present invention, the data reporting unit 1014 further deletes the reported operation log from the data storage unit 1013, thereby saving the storage space of the target robot.

The cloud server 102 is configured to analyze the operation log, determine operation state information of the target robot, and send the operation state information to the display terminal 103.

In an embodiment of the present invention, the operating state information includes alarm reminding information, where the alarm reminding information includes a total number of alarms and alarm data at each alarm level, where the alarm data includes an alarm object, an alarm type, an alarm time, and so on.

The cloud server 102 further includes:

a data receiving unit 1021, configured to receive the operation log, and send the operation log to a data analysis unit 1022.

The data analysis unit 1022 is configured to determine an alarm rule corresponding to the collection object name, the collection object type, and the collection information type.

In an embodiment of the present invention, the cloud server 102 stores a plurality of selectable alarm rules, each selectable alarm rule corresponding to a different collection object name and a collection object type and a collection information type corresponding to the collection object name, and determines a corresponding alarm rule from the selectable alarm rules by using the collection object name, the collection object type and the collection information type corresponding to the target robot.

The alarm rule includes the collection parameter threshold and the original alarm weight corresponding to each preset state code corresponding to the collection object name and the alarm weight correction value corresponding to the collection object type and the collection information type. The alarm weight correction value corresponding to the collection object type of the service operation type is higher than that of the performance type because the alarm of the performance type may seriously affect the smooth operation of the service, or may not be serious deviation between some parameters and ideal values, such as certain loss of component performance, and the like, but the alarm corresponding to the service operation type usually represents that a work task cannot be normally performed or executed.

The data analysis unit 1022 is further configured to perform alarm analysis on the robot identifier, the acquisition time, and the object state information according to the alarm rule, so as to obtain the alarm reminding information.

In an embodiment of the present invention, a target alarm level corresponding to each preset status code may be determined according to the original alarm weight and the alarm weight correction value. And then, counting the alarm information corresponding to all the data in the operation log to obtain the total alarm amount, the alarm data at each alarm level and the like.

And an information pushing unit 1023, configured to send the alarm reminding information to the display terminal 103.

In a further embodiment of the present invention, the operation status information further includes service statistics information and a comprehensive analysis report.

The comprehensive analysis report is used for performing correlation analysis and display on the service statistical information and the alarm reminding information, so that the state of the robot is displayed from a hardware level and a service performance level.

The data analysis unit 1022 is further configured to perform statistical analysis on the running log with the collection object type being the service operation type, so as to obtain the service statistical information.

In an embodiment of the present invention, the service statistical information may include robot control data, such as data of high-frequency words, high-frequency operations, high-frequency instructions, etc., total number of statistical services, completion ratio, completion duration, etc., and may also include data such as robot on-off state, operation duration, online time ratio, etc.

And counting each service according to the object state information in the running log to obtain the service statistical information.

In still another embodiment of the present invention, the cloud server further stores therein target task information corresponding to the target robot,

the cloud server can compare the target task information with the business statistical information to determine information such as a current work task, a completion progress, a completion plan and past tasks of the target robot, and the information is recorded in the comprehensive analysis report.

In another embodiment of the invention, in addition to the alarm reminding with a relatively serious security degree, the cloud server may compare the performance data such as whether the electric quantity, the local storage space and the component link are normal, whether the data feedback is normal, and the like with a preset ideal threshold value, and remind the user whether to replace or maintain the component according to the comparison condition.

The data analysis unit 1022 is further configured to generate the comprehensive analysis report according to the service statistical information and the alarm reminding information.

In an embodiment of the present invention, the service statistical information related to the alarm processing may be extracted from the service statistical information, so as to obtain the alarm processing information, where the alarm processing information includes an alarm processing state, an alarm processing time, an alarm processing result, and the like. And obtaining a comprehensive analysis report according to the service statistical information and the alarm processing information.

In yet another embodiment of the present invention, the total analysis report may include a date, a product, a number of operating machines, a number of newly added machines, a number of daily active machines, a total online time, a total number of alarms, a number of emergency alarms, a number of automatically processed alarms, and a number of manually processed alarms. Whether the robot is on-line or active can be determined according to the state code of the starting service in the running log reported by the target robot.

The information pushing unit 1023 is further configured to send the comprehensive analysis report to the display terminal 103.

And the display terminal 103 is used for displaying the running state information.

In another embodiment of the present invention, the display terminal 103 is configured to receive a management operation request input by a user, determine a data query request according to the management operation request, and send the data query request to the cloud server.

In an embodiment of the present invention, the management operation request includes a preset operation type and an operation keyword, where the operation type may be historical or real-time status data query, report generation, task completion time prediction, residual performance prediction, and the like. The operation keyword can be a robot identifier, a service name, a component name and the like. The data query request comprises a robot identification, a collection object name and collection time information.

In another embodiment of the present invention, the display terminal 103 further comprises:

and an alarm reminding unit 1031, configured to execute a preset reminding action when receiving the alarm reminding information.

In one embodiment of the invention, the alert action may include sending an alert reminder to a device or account associated with the target robot, such as a cell phone or mailbox of a robot operator. The display can be realized through the light emitting, ringing and/or multimedia content playing devices on the target robot, and the control of the target robot to pause or shut down, sleep and the like can also be included.

An interaction unit 1032, configured to receive a management operation request, and determine the data query request according to the management operation request.

In an embodiment of the present invention, the management operation request includes a preset operation type and an operation keyword, where the operation type may be to query historical or real-time status data, generate a report, predict task completion time and residual performance, and the like. The operation keyword can be a robot identifier, a service name, a component name and the like. The data query request includes a robot identification, a collection object name, and collection time information.

The interaction unit 1032 is further configured to display the comprehensive analysis report when the comprehensive analysis report is received.

In an embodiment of the present invention, the interaction unit 1032 further stores a preset display template, determines a corresponding display template according to an operation type in the management operation request, and displays the comprehensive analysis report in the display template, thereby improving an interaction experience of a user.

The cloud server 102 is further configured to send the operation state information to the display terminal 103 according to the data query request.

In an embodiment of the present invention, the cloud service 102 performs query according to the robot identifier, the collection object name, and the collection time information in the data query request, so as to obtain the target state information.

In yet another embodiment of the present invention, when the target robot is plural, the data query request includes authentication information and a data statistics dimension.

The data statistics dimension comprises a statistic unit and statistic characteristics, such as a robot type, a service type or a component type, and the statistic characteristics can be the total alarm amount, the total startup duration, the number of active machines in a day and the like of a certain alarm level.

The data receiving unit 1021 is further configured to verify the identity verification information, and determine at least one to-be-queried robot identifier.

The data receiving unit 1021 is further configured to obtain the statistical analysis reports corresponding to all the to-be-queried robot identifiers, so as to obtain to-be-statistical data.

The data analysis unit 1022 is further configured to perform statistical analysis on the data to be counted according to the data statistical dimension, so as to obtain the target state information.

In one embodiment of the present invention, the data information in the statistical analysis report corresponding to the statistical characteristics corresponding to each statistical unit is counted by taking the statistical unit as a unit to obtain the target state information. For example, the data such as the number, the on-off state, the running time and the like of the online robots are counted according to the types of the robots, and the data such as the performance, the load, the response time and the abnormal feedback of each component in the online robots are counted according to the types of the robots. The number, completion ratio, completion duration and other data of the services (tasks) can be counted according to the types of the robots.

The display terminal 103 is further configured to display the target state information.

The method and the device are different from the scheme that the monitoring of the robot is completed on the body in the prior art, the processing capacity of the robot is increased, and mainly aim at errors in a logic layer and the problem that the interconnection of the running state to a cloud network and a mobile terminal is not realized.

Fig. 3 shows a schematic structural diagram of a robot operation state monitoring method provided by an embodiment of the present invention. The method is applied to the robot operation state monitoring system. As shown in fig. 3, the method 200 includes:

step 201: and acquiring performance data and business operation data of the target robot through a data acquisition module.

Step 202: and generating an operation log according to the performance data and the service operation data through the data acquisition module.

In one embodiment of the invention, the performance data and the business operation data comprise a robot identification of a target robot, a collection time, a collection object name and collection parameter information; the operation log comprises the robot identification, the acquisition time, the acquisition object name, the acquisition object type, the acquisition information type and the object state information; the type of the acquisition object is a business operation type or a performance type; the collected information types include input information, output information and intermediate logic information.

In yet another embodiment of the present invention, step 202 further comprises:

step 2021: and determining the type of the acquisition object according to the name of the acquisition object.

Step 2022: and determining the object state information and the acquisition information type according to the acquisition object name and the acquisition parameter information.

Step 203: analyzing the operation log through a cloud server, determining operation state information of the target robot, and sending the operation state information to a display terminal;

in one embodiment of the present invention, the operation status information includes an alarm reminding information; step 203 further comprises:

step 2031: and receiving the running log.

Step 2032: and determining alarm rules corresponding to the collection object name, the collection object type and the collection information type.

Step 2033: and carrying out alarm analysis on the robot identification, the acquisition time and the object state information according to the alarm rule to obtain the alarm reminding information.

Step 2034: and sending the alarm reminding information to the display terminal.

Step 204: and displaying the running state information through the display terminal.

The specific steps of the method for monitoring the robot operating state provided in this embodiment are substantially the same as the working process of the robot operating state monitoring system, and therefore are not described again. The embodiment of the invention can generate the operation log according to the performance data of the robot and the service operation data reflecting the operation state through the data acquisition module, and comprehensively analyze the operation log generated by the data acquisition module through the cloud server, thereby realizing the remote monitoring of the operation state of the robot, realizing the display of the analysis result of the cloud server by the display terminal, further realizing the remote monitoring and information interconnection of the operation state of the robot, enabling a user to timely and effectively find the abnormal condition in the operation of the robot, the operation data of the robot and the analysis condition of user experience, and improving the monitoring efficiency of the operation state of the robot.

The algorithms or displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.

In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim.

Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components in the embodiments may be combined into one module or unit or component, and may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.

Claims

1. A robot operation state monitoring system is characterized in that the operation state monitoring system comprises a data acquisition module of a target robot, a display terminal and a cloud server, wherein,

and the display terminal is used for displaying the running state information.

2. The system of claim 1,

the display terminal is further used for receiving a management operation request input by a user, determining a data query request according to the management operation request, and sending the data query request to the cloud server;

3. The system of claim 1, wherein the target robot comprises an instruction input module, an ontology server; the data acquisition module also comprises a data acquisition unit, a log generation unit, a data storage unit and a data reporting unit, wherein,

the data acquisition unit is used for acquiring the performance data from the body server;

the data acquisition unit is further configured to acquire the service operation data from the instruction input module;

the log generating unit is used for generating the running log according to the performance data and the service operation data;

the data storage unit is used for storing the running log;

4. The system of claim 3, wherein the log of runs comprises robot identification, collection time, collection object name, collection object type, collection information type, collection parameter information, and object status information; the acquisition object type comprises a business operation type and a performance type; the collected information type comprises input information, output information and intermediate logic information;

5. The system of claim 4, wherein the operational status information comprises alarm alert information; the cloud server further comprises:

the data analysis unit is used for determining alarm rules corresponding to the collection object names, the collection object types and the collection information types;

6. The system of claim 5, wherein the operational status information further comprises traffic statistics and analysis-by-synthesis reports;

7. The system of claim 6, wherein the display terminal comprises:

8. A robot operation state monitoring method applied to the robot operation state monitoring system according to any one of claims 1 to 7, the method comprising:

and displaying the running state information through a display terminal.

9. The method of claim 8, wherein the performance data and the business operations data include a robot identification of a target robot, a collection time, a collection object name, and collection parameter information; the operation log comprises the robot identification, the acquisition time, the acquisition object name, the acquisition object type, the acquisition information type and the object state information; the type of the acquisition object is a business operation type or a performance type; the collected information type comprises input information, output information and intermediate logic information;

the generating of the running log according to the performance data and the service operation data by the data acquisition module comprises:

10. The method of claim 9, wherein the operational status information comprises an alarm alert message; the analyzing the operation log through the cloud server to determine the operation state information of the target robot includes:

receiving the running log;

and sending the alarm reminding information to the display terminal.