WO2023273461A1

WO2023273461A1 - Robot operating state monitoring system, and method

Info

Publication number: WO2023273461A1
Application number: PCT/CN2022/084166
Authority: WO
Inventors: 曹明明; 孙睿超; 王昕玮
Original assignee: 达闼机器人股份有限公司
Priority date: 2021-06-30
Filing date: 2022-03-30
Publication date: 2023-01-05
Also published as: CN115222181A; CN115222181B

Abstract

Embodiments of the present invention relate to the technical field of artificial intelligence and disclose a robot running state monitoring system and a method. The system comprises: a data collection module, which is used for collecting service operation data and performance data of a target robot, generating an operating log according to the service operation data and the performance data, and sending the operating log to a cloud server; the cloud server, which is used for analyzing the operating log, determining operating state information of the target robot, and sending the operating state information to a display terminal; and the display terminal, which is used for displaying the operating state information. By means of the described system, an embodiment of the present invention improves robot operating state monitoring efficiency.

Description

Robot operation status monitoring system and method

cross reference

This application refers to the Chinese patent application No. 202110743456.7 entitled "Robot Operation Status Monitoring System and Method" submitted on June 30, 2021, which is fully incorporated into this application by reference.

technical field

The present application relates to the technical field of artificial intelligence, and in particular to a system and method for monitoring robot operation status.

Background technique

With the development of artificial intelligence technology, robots of various types and functions have been widely used. In order to ensure the normal and efficient work of robots, it is necessary to monitor the operating status of robots in time.

At present, the monitoring of the robot is generally completed in the robot body. The monitoring is mainly aimed at whether there are errors at the logic level. There is no monitoring of the operating status of the robot at the hardware level, and there are certain security risks. In addition, the monitoring and data analysis of the robot body leads to an increase in the amount of data processed by the robot processor. At the same time, the interconnection of the running status to the cloud network and mobile terminals is not realized, and there are also inconveniences in data storage and sharing and management personnel's operation and management. .

Contents of the invention

In view of the above problems, embodiments of the present invention provide a robot operation state monitoring system and method, which are used to solve the problem of low efficiency in robot operation state monitoring existing in the prior art.

According to an aspect of an embodiment of the present invention, a robot operation status monitoring system is provided, and the system includes: a data collection module of a target robot, a display terminal, and a cloud server, wherein,

The data collection module is used to collect performance data and business operation data of the target robot;

The data collection module is further configured to generate a running log according to the performance data and business operation data, and send the running log to the cloud server;

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

The display terminal is used to display 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 configured to send the running status information to the display terminal according to the data query request.

In an optional manner, the target robot includes an instruction input module and an ontology server;

The data acquisition module also includes a data acquisition unit, a log generation unit, a data storage unit and a data reporting unit, wherein,

a data acquisition unit, configured to acquire the performance data from the ontology server;

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

The data acquisition unit is further configured to acquire reporting rules from the cloud server, and send the reporting rules to the data reporting unit;

a log generation unit, configured to generate the operation log according to the performance data and the business operation data;

a data storage unit, configured to store the operation log;

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

In an optional manner, the performance data and the business operation data include the target robot's robot identification, collection time, collection object name, and collection parameter information; the operation log includes the robot identification, collection time, Collection object name, collection object type, collection information type, and object status information; wherein, the collection object type is a business operation type or a performance type; the collection information type includes input information, output information, and intermediate logic information;

The log generating unit is further configured to determine the collection object type according to the collection object name;

The log generation unit is further configured to determine the object status information and the collection information type according to the collection object name and the collection parameter information.

In an optional manner, the running status information includes warning and reminder information; the cloud server further includes:

a data receiving unit, configured to receive the operation log, and send the operation log to the data analysis unit;

A data analysis unit, configured to determine the alarm rules corresponding to the collection object name, collection object type, and collection information type;

The data analysis unit is further configured to perform alarm analysis on the robot identification, collection time and object status information according to the alarm rules, to obtain the alarm reminder information;

An information push unit, configured to send the alarm reminder information to the display terminal.

In an optional manner, the operation status information also includes business statistical information and comprehensive analysis reports;

The data analysis unit is further configured to perform statistical analysis on the operation log whose collection object type is a business operation type, to obtain the business statistical information;

The data analysis unit is further configured to generate the comprehensive analysis report according to the business statistical information and the alarm reminder information;

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

In an optional manner, the display terminal includes:

An alarm reminder unit, configured to execute a preset reminder action when receiving the alarm reminder information;

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

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

According to another aspect of the embodiments of the present invention, a method for monitoring robot operation status is provided. The method applies the robot operation status monitoring system in the foregoing embodiments, and the method includes:

Collect the performance data and business operation data of the target robot through the data collection module;

Generate a running log according to the performance data and business operation data through the data collection module;

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

The running state information is displayed through the display terminal.

The method also includes:

determining the collection object type according to the collection object name;

The object status information and the collection information type are determined according to the collection object name and the collection parameter information.

In an optional manner, the running status information includes warning and reminder information; the method further includes:

receiving the operation log;

Determine the alarm rules corresponding to the collection object name, collection object type, and collection information type;

Perform alarm analysis on the robot identification, collection time and object status information according to the alarm rules to obtain the alarm reminder information;

Send the alarm reminder information to the display terminal.

The robot operation state monitoring system in the embodiment of the present invention includes a data collection module of the target robot, a display terminal and a cloud server, wherein the data collection module of the target robot is used to collect the performance data and business operation data of the target robot, and then according to the performance data And business operation data to generate running logs, which represent the basic information of the robot on component performance and business operations; then send the running logs to the cloud server. The cloud server is used to analyze the operation log to determine the operation status information of the target robot, and return the operation status information to the display terminal, and finally display the operation status information through the display terminal, realizing the remote monitoring of the robot operation status And status analysis, so as to timely and effectively find abnormal conditions in the operation of the robot, and at the same time, it can obtain the operation data of the robot and the analysis of the user experience, which is beneficial to the update and optimization of robot products.

Therefore, it is different from the solution in the prior art that the monitoring of the robot is completed on the body, which increases the processing capacity of the robot, and is mainly aimed at errors at the logic level, and does not realize the interconnection of the running status to the cloud network and mobile terminals. , the embodiment of the present invention can use the data acquisition module to generate operation logs according to the performance data of the robot and the business operation data reflecting the operation status, and perform comprehensive analysis on the operation logs generated by the data acquisition module through the cloud server, thereby realizing the remote control of the operation status of the robot. monitoring, and realized the display of the analysis results of the display terminal on the cloud server, thereby realizing the remote monitoring of the robot's running status and information interconnection, so that users can timely and effectively discover abnormalities in the operation of the robot and the operation data of the robot, The analysis of user experience improves the efficiency of robot operation status monitoring.

The above description is only an overview of the technical solutions of the embodiments of the present invention. In order to better understand the technical means of the embodiments of the present invention, it can be implemented according to the contents of the description, and in order to make the above and other purposes, features and The advantages can be more obvious and understandable, and the specific embodiments of the present invention are enumerated below.

Description of drawings

The drawings are only for illustrating the embodiments and are not to be considered as limiting the invention. Also throughout the drawings, the same reference numerals are used to designate the same parts. In the attached picture:

FIG. 1 shows a schematic structural diagram of a robot operating state monitoring system provided by an embodiment of the present invention;

Fig. 2 shows a schematic structural diagram of a robot operation status monitoring system provided by another embodiment of the present invention;

Fig. 3 shows a schematic flowchart of a method for monitoring the operating state of a robot provided by 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. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the invention may 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 provided by an embodiment of the present invention. The system is used to monitor and manage target robots. As shown in Figure 1, the system includes the following parts:

A data collection module 101, a cloud server 102, and a display terminal 103. Wherein, the robot operation status monitoring system can manage at least one target robot, and the data collection module 101 is a module in the target robot.

Wherein, the data collection module 101 is configured to collect performance data and business operation data of the target robot.

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

After the data collection module 101 detects that the target robot starts, it starts to collect the performance data and business operation data in real time or periodically.

Among them, the performance data refers to the input and output data collected on the components of the target robot, which are used to represent the operating status, temperature and other sensing parameters of the components, as well as information such as information flow; among them, the components can include such as Various sensors such as radar and ultrasonic, performance data can include such as link transmission data, temperature, power, status bits, CPU usage, disk space, and network status.

The business operation data includes the instruction data input on the instruction input interface of the target robot. A business refers to an action or task completed by the robot, and a business corresponds to multiple pieces of instruction data. Business operation data is used to reflect the business instructions sent and received by components and the business data processed. Among them, the instruction input method can be through such as visual input, voice input, manual input, text input or preset program input, etc. The input instruction data can include operator information, instruction input method, input interface stay time, instruction operation method , information feedback, and upper-lower link information. Wherein, the instruction operation mode includes the execution time, execution object, execution logic and expected result of the instruction.

The data collection module 101 is further configured to generate a running log according to the performance data and business operation data, and send the running log to the cloud server.

In yet another embodiment of the present invention, the target robot includes an instruction input module and an ontology server; referring to FIG. 2 , the data collection module 101 also 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 its collection process includes as follows: the data acquisition unit 1011 is connected with the robot body server, and the body server is connected with the ECU (Electronic Control Unit, electronic control unit) on the body Connection, the ECU is connected to the actuator and the sensor through the CAN bus, and the ECUs on the main body are connected through the Ethernet. Send the collection command through the data acquisition unit, ping the IP address corresponding to each component, and judge whether the link is normal according to whether the network can communicate. Wherein, the collection command may be ping192.168.1.200.

In yet another embodiment of the present invention, the performance data may also include ultrasonic data, and its acquisition process includes as follows: the data acquisition unit 1011 is connected with a CCU (Communication Control Unit, communication control unit), and in the CCU through rostopic echo/XR1/ The Ultrasonic command acquires real-time ultrasound data and writes it into the running log. Among them, rostopic is the topic instruction in the robot operating system, which is used to receive the messages that each node can publish to the topic, and the message instructions that each topic sends to the nodes that subscribe to it.

In yet another embodiment of the present invention, the performance data may also include radar link data, and the collection process includes the following: connect the lsusb through the data acquisition unit 1011 to check the serial port between the robot body server and the radar, and write the status into the running log. Wherein, the collection command can be lsusb|grep CP210x|wc-l, wherein, the lsusb command is used to display the information of the USB bus in the system and connected to the system.

The data acquiring unit 1011 is further configured to acquire the business 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 business operation data whenever 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 one embodiment of the present invention, after detecting that the target robot is turned on, the data acquisition unit 1011 establishes a communication connection with the cloud server 102, sends the robot identification of the target robot to the cloud server 102, and accepts the returned information from the cloud server 102. The reporting rule corresponding to the robot identifier.

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

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

In an embodiment of the present invention, the performance data and the business operation data include the target robot's robot identifier, collection time, collection object name, and collection parameter information.

Wherein, the robot identifier is used to specifically distinguish each robot. The acquisition time is the time when the data acquisition unit 1011 acquires the data. The acquisition object can be the name of each component in the target robot, such as audio-body speaker or 2D camera-head, or the name of a business, such as sports or cleaning. Collection parameter information refers to the collected original parameter fields and corresponding field values, such as the temperature collected by the 2D camera-head is 23 degrees, and the command information corresponding to the business movement is handshake or completion, etc.

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

Among them, the collection object type includes business operation type and performance type; the collection object type can be determined according to the data collection source, when the data is collected on the command input interface, it is determined as the business operation type, and when the data is collected on the ontology and the ontology server, it is determined for the performance type.

The object state information is used to represent the state determined by collecting the parameters of the object. In yet another embodiment of the present invention, the object state information may further include the state code, information code, and text annotation information of the acquisition object.

Wherein, the status code is used to indicate whether the state of the acquisition object is abnormal, and may include three values of 0, 1, and 2, which are used to indicate normal, warning, and error respectively.

The information code can be a string of preset digits, where the value of the first digit is consistent with the status code, and the value of the remaining digits is used to represent the type or interval corresponding to the collected parameter information, such as the 2D camera-head The information code can be 1001, where 1 indicates that there is a warning in the current parameter state, 001 indicates the range of the collected temperature information, and the text annotation information is used to represent the interpretation information corresponding to the information code, such as the aforementioned 1001 indicates that the temperature is greater than 50 degrees.

The types of collected information include input information, output information, and intermediate logic information; among them, intermediate logic information refers to the intermediate data generated when the parameter is logically calculated inside the robot, rather than external output or external input data. Recording the type of collected information can better restore the processing data flow of the target robot through the operation log, so as to trace the cause of the exception.

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

Table 1

In conjunction with Table 1, for example, for the collection of the link state, the state judgment condition in the log generation unit 1012 is whether it can be pinged, and the text annotation information corresponding to the information code in the operation log includes: 0000, Ping, or 2001, Ping failed. The running log output corresponding to the link state can be: GINGERXR-1XXXXXXXXXXGIN02S2115000020, 1620893268, CCU, input, performance, 0000, Ping OK.

For the collected ultrasound data, the state judgment condition in the log generating unit 1012 is True or False; the information code in the running log and the corresponding text annotation information: 0000, True or 2001, False.

The output log corresponding to the ultrasound data can be GINGERXR-1XXXXXXXXXXGIN02S

2115000020, 1620893268, Ultrasonic1, output, performance, 0000, 2.5499.

For the collected radar link data, the status judgment condition in the log generating unit 1012 is 1 or 0; the status code and its corresponding text annotation information are 0000, 1 or 2001, 0.

The output running log is GINGERXR-1XXXXXXXXXXGIN02S2115000020, 1620893268, Radar, output, performance, 0000, OK.

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

According to the name of the acquisition object, look up the table in the corresponding components and function configuration table of the target robot to obtain the corresponding acquisition object type.

The log generating unit 1012 is further configured to determine the object status information and the collection information type according to the collection object name and the collection parameter information.

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

The data storage unit 1013 is configured to store the operation log.

In one embodiment of the present invention, the running log can be stored in cvs (Comma-Separated Values, character segmentation value) format, wherein each row of cvs records at least includes the following fields: robot identification, collection time, collection object name, Collect object types, collect information types, and object status information.

A data reporting unit 1014, configured to send the operation log to the cloud server 102 according to the reporting rule.

In an embodiment of the present invention, the data reporting unit 1014 divides and combines the running logs according to the reporting rules, and then sends them to the cloud server 102 .

In yet another embodiment of the present invention, the data reporting unit 1014 also 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 the 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 running status information includes alarm reminder information, which includes the total number of alarms and alarm data at each alarm level, wherein the alarm data includes alarm objects, alarm types, and alarm time.

Cloud server 102 also includes:

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

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

In one embodiment of the present invention, the cloud server 102 stores a plurality of optional alarm rules, each optional alarm rule corresponds to a different collection object name and the collection object type and collection information type corresponding to the collection object name, The corresponding alarm rule is determined from the optional alarm rules by the collection object name, collection object type and collection information type corresponding to the target robot.

The alarm rules include the collection parameter thresholds and original alarm weights corresponding to the preset status codes corresponding to the collection object names, and the alarm weight correction values corresponding to the collection object types and collection information types. Among them, the alarm weight correction value corresponding to the collection object type of the business operation type is higher than that of the performance type. There is a certain deviation between components, such as a certain loss in component performance, but the alarm corresponding to the business operation type usually means that a task cannot be carried out or executed normally.

The data analysis unit 1022 is further configured to perform alarm analysis on the robot identification, collection time, and object state information according to the alarm rules to obtain the alarm reminder information.

In an embodiment of the present invention, the target alarm level corresponding to each preset status code can be determined according to the original alarm weight and the alarm weight correction value. Then, the alarm information corresponding to all the data in the operation log is counted to obtain the total number of alarms and the alarm data of each alarm level.

The information push unit 1023 is configured to send the warning reminder information to the display terminal 103 .

In yet another embodiment of the present invention, the running status information also includes business statistical information and comprehensive analysis reports.

Among them, the comprehensive analysis report is used to correlate, analyze and display business statistical information and alarm reminder information, so as to display the status of the robot from the hardware level and business performance level.

The data analysis unit 1022 is further configured to perform statistical analysis on the running logs whose collection object type is a business operation type, to obtain the business statistical information.

In one embodiment of the present invention, business statistical information may include robot control data, such as data such as high-frequency words, high-frequency operations, and high-frequency instructions, as well as the total number of statistical services, completion ratio, and completion time. Including data such as robot switch status, running time, online time ratio, etc.

According to the object state information in the running log, statistics are made on each business to obtain the above business statistical information.

In yet another embodiment of the present invention, the target task information corresponding to the target robot is also stored in the cloud server,

The cloud server can compare the target task information with the business statistical information to determine the current task, completion progress, completion plan, and past tasks of the target robot, and record the above information in the comprehensive analysis report.

In yet another embodiment of the present invention, in addition to alarms and reminders with relatively serious security levels, the cloud server can also compare performance data such as power consumption, local storage space, whether component links are normal, and whether data feedback is normal with the preset The ideal threshold is compared, and the user is reminded whether to replace or repair components according to the comparison.

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

In one embodiment of the present invention, the service statistical information related to alarm processing can be extracted from the service statistical information, thereby obtaining the alarm processing information, which includes the alarm processing status, alarm processing time, and alarm processing results, etc. . Get a comprehensive analysis report based on business statistics and alarm processing information.

In yet another embodiment of the present invention, the comprehensive analysis report may include date, product, number of operating machines, number of new machines, number of daily active machines, total online time, total number of alarms, number of emergency alarms, number of automatic processing alarms, and manual Handle the number of alarms. Wherein, whether the robot is online or active can be determined according to the status code of the startup service in the operation log reported by the target robot.

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

The display terminal 103 is configured to display the running state information.

In yet 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 one embodiment of the present invention, the management operation request includes preset operation types and operation keywords, and the operation types may be querying historical or real-time status data, generating reports, and predicting task completion time and remaining performance, etc. Operation keywords can be robot identification, business name, component name, etc. The data query request includes robot identification, collection object name and collection time information.

In yet another embodiment of the present invention, the display terminal 103 also includes:

The alarm reminder unit 1031 is configured to execute a preset reminder action when receiving the alarm reminder information.

In an embodiment of the present invention, the reminding action may include sending warning reminder information to a device or an account associated with the target robot, such as a mobile phone or a mailbox of a robot operator. It can also include controlling the target robot to suspend action or shut down, sleep, etc. by means of lighting, ringing and/or multimedia content playback devices on the target robot.

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

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

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

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

In one embodiment of the present invention, the cloud service 102 conducts a query according to the robot identifier, collection object name and collection time information in the data query request to obtain target status information.

In yet another embodiment of the present invention, when there are multiple target robots, the data query request includes identity verification information and data statistics dimensions.

Among them, the data statistics dimension includes statistical units and statistical characteristics, such as robot type, business type, or component type, etc. The statistical characteristics can be the total number of alarms at a certain alarm level, the total boot time, and the number of daily active robots.

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

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

The data analysis unit 1022 is further configured to perform statistical analysis on the data to be counted according to the data statistical dimensions 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 features corresponding to each statistical unit is counted in units of statistical units to obtain target state information. For example, count the number of online robots, on-off status, and running time by robot type, and count the performance, load, response time, and abnormal feedback of each component in the online robot by robot type. It is also possible to count the number of business (tasks), completion ratio, completion time and other data by robot type.

The display terminal 103 is also used to display the target state information.

Different from the solution adopted in the prior art that the monitoring of the robot is completed on the main body, the processing capacity of the robot is increased, and it is mainly aimed at errors at the logic level, and there is no problem of realizing the interconnection of the running status to the cloud network and mobile terminals. In the embodiment of the present invention, the operation log can be generated by the data acquisition module according to the performance data of the robot and the business operation data reflecting the operation state, and the operation log generated by the data acquisition module can be comprehensively analyzed by the cloud server, so as to realize the remote monitoring of the operation state of the robot , and realized the display of the analysis results of the display terminal on the cloud server, thereby realizing the remote monitoring of the robot's running status and information interconnection, enabling users to timely and effectively discover abnormalities in the robot's operation, as well as the robot's operating data and user The analysis of experience improves the efficiency of robot operation status monitoring.

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

Step 201: Collect performance data and business operation data of the target robot through the data collection module.

Step 202: Using the data collection module to generate a running log according to the performance data and business operation data.

In an embodiment of the present invention, the performance data and the business operation data include the target robot's robot identification, collection time, collection object name, and collection parameter information; the operation log includes the robot identification, collection time, Collection object name, collection object type, collection information type and object state information; wherein, the collection object type is business operation type or performance type; the collection information type includes input information, output information and intermediate logic information.

In yet another embodiment of the present invention, step 202 also includes:

Step 2021: Determine the collection object type according to the collection object name.

Step 2022: Determine the object status information and the collection information type according to the collection object name and the collection parameter information.

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

In one embodiment of the present invention, the running status information includes warning and reminder information; step 203 also includes:

Step 2031: Receive the operation log.

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

Step 2033: Perform alarm analysis on the robot ID, collection time and object state information according to the alarm rules to obtain the alarm reminder information.

Step 2034: Send the alarm reminder information to the display terminal.

Step 204: Display the running status information through the display terminal.

The specific method steps of the robot operation state monitoring method provided in this embodiment are basically the same as the working process of the aforementioned robot operation state monitoring system, so details are not repeated here. Therefore, it is different from the solution in the prior art that the monitoring of the robot is completed on the body, which increases the processing capacity of the robot, and is mainly aimed at errors at the logic level, and does not realize the interconnection of the running status to the cloud network and mobile terminals. , the embodiment of the present invention can use the data acquisition module to generate the operation log according to the performance data of the robot and the business operation data reflecting the operation state, and perform comprehensive analysis on the operation log generated by the data acquisition module through the cloud server, so as to realize the remote monitoring of the operation state of the robot. monitoring, and realized the display of the analysis results of the display terminal on the cloud server, thereby realizing the remote monitoring of the robot's running status and information interconnection, so that users can timely and effectively discover abnormalities in the operation of the robot and the operation data of the robot, The analysis of user experience improves the efficiency of robot operation status monitoring.

The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other device. Various generic systems can also be used with the teachings based on this. The structure required to construct such a system is apparent from the above description. Furthermore, embodiments of the present invention are not directed to any particular programming language. It should be understood that various programming languages can be used to implement the contents of the present invention described herein, and the above description of specific languages is for disclosing the best mode of the present invention.

In the description provided herein, numerous specific details are set forth. However, it is understood 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 the understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, in order to streamline the present disclosure and to facilitate an understanding of one or more of the various inventive aspects, various features of the embodiments of the invention are sometimes grouped together into a single implementation examples, figures, or descriptions thereof. This method of disclosure, however, is not to be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim.

Those skilled in the art can understand that the modules in the device in the embodiment can be adaptively changed and arranged in one or more devices different from the embodiment. Modules or units or components in the embodiments can be combined into one module or unit or component, and they can be divided into a plurality of submodules or subunits or subassemblies. All features disclosed in this specification (including accompanying claims, abstract and drawings) and any method or method so disclosed may be used in any combination, except that at least some of such features and/or processes or units are mutually exclusive. All processes or units of equipment are combined. Each feature disclosed in this specification (including 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 a unit claim enumerating several means, several of these means can be embodied by one and the same item of hardware. The use of the words first, second, and third, etc. does not indicate any order. These words can be interpreted as names. The steps in the above embodiments, unless otherwise specified, should not be construed as limiting the execution sequence.

Claims

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

The data collection module is used to collect performance data and business operation data of the target robot;

The data collection module is further configured to generate a running log according to the performance data and business operation data, and send the running log to the cloud server;

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

The display terminal is used to display the running state information.
The system according to claim 1, characterized in that,

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 configured to send the running status information to the display terminal according to the data query request.
The system according to claim 1, wherein the target robot includes an instruction input module and an ontology server; the data acquisition module further includes a data acquisition unit, a log generation unit, a data storage unit, and a data reporting unit, wherein,

The data obtaining unit is configured to obtain the performance data from the ontology server;

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

The data acquisition unit is further configured to acquire reporting rules from the cloud server, and send the reporting rules to the data reporting unit;

The log generating unit is configured to generate the running log according to the performance data and the business operation data;

The data storage unit is used to store the operation log;

The data reporting unit is configured to send the operation log to the cloud server according to the reporting rule.
The system according to claim 3, wherein the operation log includes robot identification, collection time, collection object name, collection object type, collection information type, collection parameter information, and object status information; wherein, the collection object The type includes business operation type and performance type; the collected information type includes input information, output information and intermediate logic information;

The log generating unit is further configured to determine the collection object type according to the collection object name;

The log generation unit is further configured to determine the object status information and the collection information type according to the collection object name and the collection parameter information.
The system according to claim 4, wherein the running status information includes warning and reminder information; the cloud server further includes:

a data receiving unit, configured to receive the operation log, and send the operation log to the data analysis unit;

A data analysis unit, configured to determine the alarm rules corresponding to the collection object name, collection object type, and collection information type;

The data analysis unit is further configured to perform alarm analysis on the robot identification, collection time and object status information according to the alarm rules, to obtain the alarm reminder information;

An information push unit, configured to send the alarm reminder information to the display terminal.
The system according to claim 5, wherein the operating status information also includes business statistical information and comprehensive analysis reports;

The data analysis unit is further configured to perform statistical analysis on the operation log whose collection object type is a business operation type, to obtain the business statistical information;

The data analysis unit is further configured to generate the comprehensive analysis report according to the business statistical information and the alarm reminder information;

The information pushing unit is further configured to send the comprehensive analysis report to the display terminal.
The system according to claim 6, wherein the display terminal comprises:

An alarm reminder unit, configured to execute a preset reminder action when receiving the alarm reminder information;

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

The interaction unit is further configured to display the comprehensive analysis report when receiving the comprehensive analysis report.
A robot operation state monitoring method, characterized in that it is applied to the robot operation state monitoring system described in any one of claims 1-7, the method comprising:

Collect the performance data and business operation data of the target robot through the data collection module;

Generate a running log according to the performance data and business operation data by the data acquisition module;

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

The running state information is displayed through the display terminal.
The method according to claim 8, wherein the performance data and the business operation data include the target robot's robot ID, collection time, collection object name, and collection parameter information; the operation log includes the robot ID , collection time, collection object name, collection object type, collection information type, and object status information; wherein, the collection object type is a business operation type or a performance type; the collection information type includes input information, output information, and intermediate logic information ;

The generating a running log according to the performance data and business operation data through the data collection module includes:

determining the collection object type according to the collection object name;

The object status information and the collection information type are determined according to the collection object name and the collection parameter information.
The method according to claim 9, wherein the running status information includes warning and reminder information; analyzing the running log through a cloud server to determine the running status information of the target robot includes:

receiving the operation log;

Determine the alarm rules corresponding to the collection object name, collection object type, and collection information type;

Perform alarm analysis on the robot identification, collection time and object status information according to the alarm rules to obtain the alarm reminder information;

Send the alarm reminder information to the display terminal.