CN114422323A - Combined monitoring method and device for Internet of things equipment and electronic equipment - Google Patents
Combined monitoring method and device for Internet of things equipment and electronic equipment Download PDFInfo
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Abstract
The embodiment of the invention provides a combined monitoring method, a device and electronic equipment for Internet of things equipment, wherein the method comprises the following steps: acquiring monitoring data acquired by a target sensing module corresponding to the Internet of things equipment as target data; if the target data are detected to meet the abnormal conditions set for the specified abnormal problems, acquiring a pre-established monitoring association relation related to each sensing module; determining other sensing modules except the target sensing module from the monitoring incidence relation; identifying whether the monitoring data collected by the other sensing modules meet the abnormal conditions set for the specified abnormal problems or not; and if not, judging that the specified abnormal problem exists in the Internet of things equipment. Through the scheme, the misjudgment rate about the self abnormality of the Internet of things equipment can be reduced.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to a joint monitoring method and device for Internet of things equipment and electronic equipment.
Background
With the technology changing day by day, the internet of things equipment is more and more, and the condition monitoring of the internet of things equipment is also more and more required. Wherein, common thing networking device includes among the intelligent home systems: smart televisions, smart cameras, smart table lamps, smart curtains and the like.
In the related art, a monitoring method for internet of things equipment comprises the following steps: and acquiring monitoring data acquired by a sensing module corresponding to the Internet of things equipment, and judging that the Internet of things equipment has an abnormal problem if the monitoring data meets an abnormal condition set for the abnormal problem. The sensing module corresponding to the Internet of things equipment is a module for monitoring the running state of the Internet of things equipment.
However, when the monitoring data satisfies the abnormal condition set for the abnormal problem, the monitoring data may not be caused by the abnormality of the internet of things device itself but by the external environment. Therefore, with the related art, misjudgment about abnormality of the internet of things device is caused. For example: a sensing module for monitoring network signals is arranged in the intelligent camera; if the perception module detects when there is no network signal, probably not the intelligence camera itself is unusual to lead to, but the network of the environment in which the intelligence camera is located goes wrong, if judge that there is the unusual problem in intelligence camera self this moment, can cause the erroneous judgement undoubtedly.
Disclosure of Invention
The embodiment of the invention aims to provide a joint monitoring method and device for Internet of things equipment and electronic equipment, so as to reduce the misjudgment rate of the abnormality of the Internet of things equipment. The specific technical scheme is as follows:
in a first aspect, an embodiment of the present invention provides a joint monitoring method for an internet of things device, where the method includes:
acquiring monitoring data acquired by a target sensing module corresponding to the Internet of things equipment as target data; the target perception module is a module for monitoring the running state of the Internet of things equipment;
if the target data are detected to meet the abnormal conditions set for the specified abnormal problems, acquiring a pre-established monitoring association relation related to each sensing module; wherein, each perception module comprises the target perception module, and each perception module is: the sensing module is used for identifying the specified abnormal problems in the same monitoring range by the collected data;
determining other sensing modules except the target sensing module from the monitoring incidence relation;
identifying whether the monitoring data collected by the other sensing modules meet the abnormal conditions set for the specified abnormal problems or not;
and if not, judging that the specified abnormal problem exists in the Internet of things equipment.
Optionally, after determining that the specified abnormal problem exists in the internet of things device itself, the method further includes:
determining a target processing action corresponding to the specified exception problem;
and executing the target processing action aiming at the Internet of things equipment.
Optionally, the determining a target processing action corresponding to the specified exception problem includes:
and determining a target processing action corresponding to the specified abnormal problem from a preset mapping relation between the abnormal problem and the processing action.
Optionally, the executing, for the internet of things device, the target processing action includes:
if the target processing action comprises sending out alarm information, generating target alarm information for representing that the designated abnormal problem exists in the Internet of things equipment;
and sending target alarm information to a specified receiving end.
Optionally, the designating the receiving end includes:
the client side of the user to which the Internet of things equipment belongs, and/or the server side of the manufacturer to which the Internet of things equipment belongs.
Optionally, each sensing module is: and in the same monitoring range, the sensing modules belong to the same type.
Optionally, the detecting manner of whether the target data meets the abnormal condition set for the specified abnormal problem includes:
detecting whether the target data exceeds a first abnormal threshold value which is set for a specified abnormal problem and corresponds to the target sensing module, and if so, detecting that the target data meets an abnormal condition set for the specified abnormal problem;
the identifying whether the monitoring data collected by the other sensing modules meet the abnormal condition set for the specified abnormal problem includes:
and identifying whether the monitoring data collected by the other sensing modules exceeds a second abnormal threshold value which is set for the specified abnormal problem and corresponds to the other sensing modules, and if so, identifying the monitoring data collected by the other sensing modules and meeting the abnormal condition set for the specified problem.
In a second aspect, an embodiment of the present invention further provides a joint monitoring apparatus for an internet of things device, where the apparatus includes:
the first acquisition module is used for acquiring monitoring data acquired by a target sensing module corresponding to the Internet of things equipment as target data; the target perception module is a module for monitoring the running state of the Internet of things equipment;
the second acquisition module is used for acquiring a pre-established monitoring association relation related to each perception module if the target data are detected to meet the abnormal condition set for the specified abnormal problem; wherein, each perception module comprises the target perception module, and each perception module is: the sensing module is used for identifying the specified abnormal problems in the same monitoring range by the collected data;
the first determining module is used for determining other sensing modules except the target sensing module from the monitoring incidence relation;
the identification module is used for identifying whether the monitoring data collected by the other sensing modules meet the abnormal conditions set for the specified abnormal problems or not;
and the judging module is used for judging that the specified abnormal problem exists in the Internet of things equipment if the specified abnormal problem does not conform to the preset abnormal condition.
Optionally, the apparatus further comprises:
a second determination module for determining a target processing action corresponding to the specified exception problem;
and the execution module is used for executing the target processing action aiming at the Internet of things equipment.
Optionally, the second determining module is specifically configured to:
and determining a target processing action corresponding to the specified abnormal problem from a preset mapping relation between the abnormal problem and the processing action.
Optionally, the execution module includes:
the generation submodule is used for generating target alarm information for representing that the designated abnormal problem exists in the Internet of things equipment if the target processing action comprises sending alarm information;
and the sending submodule is used for sending the target alarm information to the appointed receiving terminal.
Optionally, the designating the receiving end includes:
the client side of the user to which the Internet of things equipment belongs, and/or the server side of the manufacturer to which the Internet of things equipment belongs.
Optionally, each sensing module is: and in the same monitoring range, the sensing modules belong to the same type.
Optionally, the detecting manner of whether the target data meets the abnormal condition set for the specified abnormal problem includes:
detecting whether the target data exceeds a first abnormal threshold value which is set for a specified abnormal problem and corresponds to the target sensing module, and if so, detecting that the target data meets an abnormal condition set for the specified abnormal problem;
the identification module is specifically configured to:
and identifying whether the monitoring data collected by the other sensing modules exceeds a second abnormal threshold value which is set for the specified abnormal problem and corresponds to the other sensing modules, and if so, identifying the monitoring data collected by the other sensing modules and meeting the abnormal condition set for the specified problem.
In a third aspect, an embodiment of the present invention provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor and the communication interface complete communication between the memory and the processor through the communication bus;
a memory for storing a computer program;
and the processor is used for realizing the steps of the joint monitoring method for the equipment of the Internet of things when executing the program stored in the memory.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the joint monitoring method for devices in the internet of things are implemented.
Embodiments of the present invention further provide a computer program product including instructions, which when run on a computer, enable the computer to execute the joint monitoring method for the internet of things device.
The embodiment of the invention has the following beneficial effects:
in the scheme, when the monitoring data acquired by the target sensing module corresponding to the Internet of things equipment is detected to meet the abnormal condition set for the specified abnormal problem, the specified abnormal problem of the Internet of things equipment is not directly judged; determining other sensing modules except the target sensing module from a pre-established monitoring incidence relation which comprises the target sensing module and relates to each sensing module, and identifying whether monitoring data acquired by the other sensing modules meet an abnormal condition set for a specified abnormal problem or not; furthermore, if the monitoring data collected by the other sensing modules do not meet the abnormal conditions set for the specified abnormal problems, it can be shown that the specified abnormal problems are not generated by the internet of things equipment due to the environment, and therefore it can be judged that the specified abnormal problems exist in the internet of things equipment. Therefore, the misjudgment rate about the self abnormality of the Internet of things equipment can be reduced through the scheme.
Of course, not all of the advantages described above need to be achieved at the same time in the practice of any one product or method of the invention.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other embodiments can be obtained by referring to these drawings.
Fig. 1 is a flowchart of a joint monitoring method for internet of things devices according to an embodiment of the present invention;
fig. 2 is another flowchart of a joint monitoring method for internet of things devices according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an internet of things system including a joint monitoring apparatus according to an embodiment of the present invention;
fig. 4 is another flowchart of a joint monitoring method for internet of things devices according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a joint monitoring apparatus for internet of things devices according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived from the embodiments given herein by one of ordinary skill in the art, are within the scope of the invention.
With the technology changing day by day, Internet of Things (IoT) devices are increasing, and the status monitoring of the IoT devices is also required more and more.
Wherein, intelligent home systems generally divide into three part: the system comprises the Internet of things equipment, intelligent gateway equipment and a server.
For the internet of things equipment:
the internet of things device can also be called as a sensor device, and the common internet of things device in the smart home system comprises: the intelligent television comprises an intelligent television, an intelligent camera, an intelligent desk lamp, an intelligent curtain, a temperature controller, an intelligent washing machine and the like. And each internet of things device is used as a controlled object in the intelligent home system, is distributed to each corner of a family and provides service for the life of people. Specifically, the following functions can be realized through the internet of things device: controlling a switch of the household appliance; or, the temperature inside and outside the home is monitored, so that the temperature is raised or lowered according to the change of the air temperature; or the energy consumption of the whole home is reduced to the minimum by automatically adjusting the switches of all the electric appliances, so that the energy-saving effect is achieved.
For an intelligent gateway device:
the intelligent gateway equipment undertakes data transmission of the Internet of things equipment at the bottom layer and safely transmits data packets sent by the Internet of things equipment to the server; the intelligent gateway equipment can establish a wireless network to provide a communication link for various Internet of things equipment.
For the server:
the server generally comprises an authentication server, a registration server, a business server and the like, the server provides data storage, identity authentication and business logic processing for the whole system, the server is used as the brain of the smart home to process various data requests, and meanwhile, an access port is provided for a user, so that the user can acquire the information of the server through the smart terminal and send some operation instructions, such as a smart phone, a tablet computer and the like.
In the related art, a monitoring method for internet of things equipment comprises the following steps: and acquiring monitoring data acquired by a sensing module corresponding to the Internet of things equipment, and judging that the Internet of things equipment has an abnormal problem if the monitoring data meets an abnormal condition set for the abnormal problem. The sensing module corresponding to the Internet of things equipment is a module for monitoring the running state of the Internet of things equipment. Also, for example, the detection manner of whether the monitoring data satisfies the abnormal condition set for the abnormal problem may include: detecting whether the monitoring data is in an abnormal operation rule range, if so, detecting that the monitoring data meets an abnormal condition set for an abnormal problem; or analyzing whether the monitoring data in multiple time periods accord with a normal operation model or not, and if not, detecting that the monitoring data meets an abnormal condition set for the abnormal problem.
However, when the monitoring data satisfies the abnormal condition set for the abnormal problem, the monitoring data may not be caused by the abnormality of the internet of things device itself but by the external environment. Therefore, with the related art, misjudgment about abnormality of the internet of things device is caused. For example: a sensing module for monitoring network signals is arranged in the intelligent camera; if the perception module detects when there is no network signal, probably not the intelligence camera itself is unusual to lead to, but the network of the environment in which the intelligence camera is located goes wrong, if judge that there is the unusual problem in intelligence camera self this moment, can cause the erroneous judgement undoubtedly.
Based on the above content, in order to reduce the misjudgment rate of the abnormality of the internet of things equipment, the embodiment of the invention provides a joint monitoring method and device for the internet of things equipment, and electronic equipment.
First, a joint monitoring method for internet of things devices provided by the embodiments of the present invention is described below.
The joint monitoring method for the Internet of things equipment provided by the embodiment of the invention can be applied to electronic equipment. In a specific application, the electronic device may be a server or a terminal device, which is reasonable.
Specifically, an execution subject for implementing the joint monitoring method for the internet of things device may be a joint monitoring apparatus for the internet of things device. The joint monitoring device for the internet of things equipment can be functional software running in the electronic equipment. For convenience of description, the joint monitoring device for the internet of things device will be referred to as a joint monitoring device for short hereinafter.
In addition, the internet of things device according to the embodiment of the present invention may be an internet of things device in an intelligent home system, and certainly, may also be an internet of things device in other internet of things scenarios, for example: the internet of things equipment in the building management system, the internet of things equipment in the network machine room, and the like, which are not limited in the embodiment of the present invention.
The joint monitoring method for the Internet of things equipment can comprise the following steps:
acquiring monitoring data acquired by a target sensing module corresponding to the Internet of things equipment as target data; the target perception module is a module for monitoring the running state of the Internet of things equipment;
if the target data are detected to meet the abnormal conditions set for the specified abnormal problems, acquiring a pre-established monitoring association relation related to each sensing module; wherein, each perception module comprises the target perception module, and each perception module is: the sensing module is used for identifying the specified abnormal problems in the same monitoring range by the collected data;
determining other sensing modules except the target sensing module from the monitoring incidence relation;
identifying whether the monitoring data collected by the other sensing modules meet the abnormal conditions set for the specified abnormal problems or not;
and if not, judging that the specified abnormal problem exists in the Internet of things equipment.
In the scheme, when the monitoring data acquired by the target sensing module corresponding to the Internet of things equipment is detected to meet the abnormal condition set for the specified abnormal problem, the specified abnormal problem of the Internet of things equipment is not directly judged; determining other sensing modules except the target sensing module from a pre-established monitoring incidence relation which comprises the target sensing module and relates to each sensing module, and identifying whether monitoring data acquired by the other sensing modules meet an abnormal condition set for a specified abnormal problem or not; furthermore, if the monitoring data collected by the other sensing modules do not meet the abnormal conditions set for the specified abnormal problems, it can be shown that the specified abnormal problems are not generated by the internet of things equipment due to the environment, and therefore it can be judged that the specified abnormal problems exist in the internet of things equipment. Therefore, the misjudgment rate about the self abnormality of the Internet of things equipment can be reduced through the scheme.
As shown in fig. 1, an embodiment of the present invention provides a joint monitoring method for abnormality of an internet of things device, which may include the following steps:
s101, acquiring monitoring data acquired by a target sensing module corresponding to the Internet of things equipment as target data; the target sensing module is a module for monitoring the running state of the Internet of things equipment;
the joint monitoring device may obtain, in real time or periodically, monitoring data collected by the target sensing module, for example, the monitoring data may be a measurement value collected by the target sensing mode. Furthermore, the acquisition mode of the monitoring data acquired by the target sensing module may be an active acquisition mode or a passive acquisition mode, where the active acquisition mode may be: the joint monitoring device actively pulls the collected monitoring data from the target sensing module; the so-called passive acquisition mode may be that the target sensing module actively reports the acquired monitoring data to the joint monitoring device, so that the joint monitoring device may acquire the monitoring data acquired by the target sensing module.
Moreover, on the premise that the target sensing module can monitor the running state of the internet of things equipment, the target sensing module can be a hardware or software module arranged in the internet of things equipment, and certainly, the target sensing module can also be a hardware or software module communicated with the internet of things equipment, which is reasonable. It should be noted that, in a specific implementation manner, the target sensing module may be implemented by a sensor having a corresponding function, but is not limited thereto.
In addition, the target sensing module may be a module for monitoring the strength of the network signal, and may also be a module for monitoring the voltage/current data, which is not limited to this. It can be understood that, if the target sensing module is a module for monitoring voltage/current data, the target sensing module may be connected to a power IC (Integrated Circuit) of the internet of things device, so as to obtain the voltage/current data of the internet of things device during operation.
S102, if the target data are detected to meet the abnormal conditions set for the specified abnormal problems, acquiring the pre-established monitoring association relation of each sensing module; wherein, each perception module comprises the target perception module, and each perception module is: the sensing module can be used for identifying the specified abnormal problem by the acquired data in the same monitoring range;
after the joint monitoring device acquires the monitoring data acquired by the target sensing module, the acquired target data can be analyzed to detect whether the target data meets an abnormal condition set for a specified abnormal problem; and executing different operations according to different detection results. Specifically, if it is detected that the target data does not conform to the abnormal condition set for the specified abnormal problem, no processing is performed; if the target data are detected to meet the abnormal conditions set for the specified abnormal problems, the target data are considered to meet the abnormal conditions set for the specified abnormal problems possibly due to environmental reasons, so that the specified abnormal problems of the internet of things equipment are not directly judged, the pre-established monitoring association relation of each sensing module is obtained, and further analysis is carried out by combining the monitoring data collected by other sensing modules.
Different sensing modules can be used for identifying different abnormal problems, and different abnormal problems can correspond to different abnormal conditions. For the target awareness module, the abnormal problem for identification may be a specified abnormal problem. For example: if the target sensing module is used for monitoring the strength of the network signal, the specified abnormal problem can be a network fault; accordingly, the exception condition may be: the strength value of the network signal is lower than a predetermined strength threshold; if the target sensing module is used for monitoring voltage data, the specified abnormal problem can be voltage abnormity; accordingly, the exception condition may be: the voltage value is below a predetermined threshold. In addition, it should be noted that, for an abnormal problem, the set abnormal condition may be lower than the abnormal threshold or higher than the abnormal threshold, and the corresponding abnormal threshold may be different for different abnormal problems.
Optionally, in an implementation manner, the detection manner of whether the target data meets the abnormal condition set for the specified abnormal problem may include:
and detecting whether the target data exceeds a first abnormal threshold value which is set for a specified abnormal problem and corresponds to the target perception module, and if so, detecting that the target data meets an abnormal condition set for the specified abnormal problem.
Optionally, in another implementation, the detecting manner of whether the target data meets the abnormal condition set for the specified abnormal problem may include:
and detecting whether the target data exceed a first abnormal threshold value which is set for a specified abnormal problem and corresponds to the target sensing module, and if so, detecting that the target data meet an abnormal condition set for the specified abnormal problem. The target data can be monitoring data continuously acquired by a target sensing module; when the target data exceed the first abnormal threshold value, the problem that the fluctuation is large relative to the normal value appears for many times is indicated, and at the moment, the target data can be detected to meet the abnormal condition set for the specified abnormal problem; otherwise, it indicates that the fluctuation is not large, and at this time, it can be detected that the target data does not conform to the abnormal condition set for the specified abnormal problem.
It should be noted that, in an alternative implementation, each sensing module is: and in the same monitoring range, the sensing modules belong to the same type. Moreover, the number of each sensing module can be two, and at this time, two sensing modules which belong to the same type and are located at geographical positions with the distance not exceeding a preset distance threshold value can be used as each sensing module; alternatively, two perception modules belonging to the same type and located in the same local area network may be used as each perception module. Of course, the number of each sensing module may be more than two, and at this time, a plurality of sensing modules which belong to the same type and are located in the same local area network may be used as each sensing module, but is not limited thereto.
In addition, in order to monitor the internet of things equipment, the combined monitoring device can register the related internet of things equipment and the sensing module in the scene of the internet of things; thus, the joint monitoring device can screen a plurality of registered sensing modules, so as to establish a monitoring association relation; and when detecting the newly registered sensing module, whether the newly registered sensing module can perform monitoring association with the registered sensing module can be analyzed, so as to establish or update a monitoring association relationship. In addition, it should be emphasized that, for any sensing module that cannot be directly networked, the communication with the sensing module that can be networked or the internet of things device can be performed through the bluetooth module of the sensing module, so that the sensing module that cannot be directly networked can register with the joint monitoring device through the sensing module that can be networked or the internet of things device, report monitoring data to the joint monitoring device, and the like. The sensing module cannot directly communicate with the joint monitoring module.
It should be noted that any module except the target sensing module in the monitoring association relationship may be a built-in or communication sensing module in other internet of things devices, where the built-in or communication sensing module is used to monitor the operating state of the other internet of things devices, and at this time, the built-in or communication sensing module may be a hardware or software module; of course, it is also reasonable that any module other than the target sensing module in the monitoring association relationship may also be a hardware module dedicated to monitoring a specific abnormal problem.
S103, determining other sensing modules except the target sensing module from the monitoring incidence relation;
s104, identifying whether the monitoring data collected by the other sensing modules meet the abnormal conditions set for the specified abnormal problems or not;
it can be understood that if the internet of things equipment caused by the external environment generates the specified abnormal problem, the monitoring data collected by other sensing modules usually meet the abnormal condition set for the specified abnormal problem; on the contrary, if the internet of things device specifies an abnormal problem but not caused by an external environment, the monitoring data collected by the other sensing modules usually does not meet the abnormal condition set for the specified abnormal problem. Therefore, whether the abnormal conditions set for the specified abnormal problems are met or not can be judged by identifying the monitoring data collected by other sensing modules, and whether the specified abnormal problems exist in the Internet of things equipment or not can be judged according to the identification result.
Identifying whether the monitoring data collected by the other sensing modules meets the abnormal condition set for the specified abnormal problem may include:
and identifying whether the monitoring data acquired by other sensing modules exceeds a second abnormal threshold value which is set for the specified abnormal problem and corresponds to other sensing modules, and if so, identifying the monitoring data acquired by other sensing modules and meeting the abnormal condition set for the specified problem.
The second anomaly threshold may be the same as or different from the first anomaly threshold, that is, the specific content of the anomaly condition for specifying the anomaly problem may be the same or different for each sensing module. This is all reasonable.
And S105, if the data is not met, judging that the specified abnormal problem exists in the Internet of things equipment.
If the monitoring data collected by the other sensing modules are identified and do not meet the abnormal condition set for the specified abnormal problem, it can be considered that the external environment does not cause the specified abnormal problem of the internet of things equipment, and therefore it can be judged that the specified abnormal problem exists in the internet of things equipment.
In the scheme, when the monitoring data acquired by the target sensing module corresponding to the Internet of things equipment is detected to meet the abnormal condition set for the specified abnormal problem, the specified abnormal problem of the Internet of things equipment is not directly judged; determining other sensing modules except the target sensing module from a pre-established monitoring incidence relation which comprises the target sensing module and relates to each sensing module, and identifying whether monitoring data acquired by the other sensing modules meet an abnormal condition set for a specified abnormal problem or not; furthermore, if the monitoring data collected by the other sensing modules do not meet the abnormal conditions set for the specified abnormal problems, it can be shown that the specified abnormal problems are not generated by the internet of things equipment due to the environment, and therefore it can be judged that the specified abnormal problems exist in the internet of things equipment. Therefore, the misjudgment rate about the self abnormality of the Internet of things equipment can be reduced through the scheme.
Optionally, as shown in fig. 2, in another embodiment provided by the present invention, after S105, a method for joint monitoring of devices in the internet of things may further include the following steps:
s106, determining a target processing action corresponding to the specified abnormal problem;
s107, aiming at the Internet of things equipment, executing the target processing action.
After the fact that the designated abnormal problem exists in the Internet of things equipment is determined, in order to recover normal operation of the Internet of things equipment as soon as possible or give an alarm in time, a target processing action corresponding to the designated abnormal problem can be determined, and then the target processing action is executed for the Internet of things equipment.
It can be understood that different abnormal problems may correspond to different processing actions, and therefore, a mapping relationship between the abnormal problem and the processing action may be established in advance, and after it is determined that the specified abnormal problem exists in the internet of things device itself, the corresponding target processing action may be determined based on the mapping relationship. Based on this processing idea, optionally, in an implementation, determining a target processing action corresponding to the specified exception problem may include:
and determining a target processing action corresponding to the specified abnormal problem from a preset mapping relation between the abnormal problem and the processing action.
And determining a target processing action corresponding to the specified abnormal problem from a preset mapping relation between the abnormal problem and the processing action.
The mapping relationship between the abnormal problem and the processing action may be stored in an abnormal database, and may be set by the joint monitoring apparatus or the user, and the specific setting mode is not limited in the embodiment of the present invention. The specific content of the mapping relationship between the abnormal problem and the processing operation may be set according to the actual situation, which is not limited in the embodiment of the present invention. For example: according to whether the abnormal problem can be automatically repaired and divided, the mapping relation of the abnormal problem and the processing action can comprise: aiming at the abnormal problem which can be automatically repaired, the corresponding processing action is as follows: starting a repair function; aiming at the abnormal problem which can not be automatically repaired, the corresponding processing action is as follows: and sending out alarm information. Another example is: the mapping relation between the abnormal problem and the processing action may include: for the abnormal problem with high emergency degree, the corresponding processing action is as follows: continuously sending alarm information for multiple times; for the problem with low emergency degree, the corresponding processing action is as follows: and sending out alarm information once. It should be emphasized that if an abnormal problem occurs, the internet of things device may still operate, and at this time, the abnormal problem may be regarded as an abnormal problem that can be automatically repaired, for example: there is no problem of network signals.
Of course, the same processing action may be preset for different abnormal problems, and in this case, after it is determined that the specified abnormal problem exists in the internet of things device itself, the preset same processing action may be directly determined as the target processing action corresponding to the specified abnormal problem. For example: the same processing actions can be preset for different abnormal problems: and sending alarm information, and then determining that the target processing action is determined as follows after determining that the Internet of things equipment has the specified abnormal problem: sending out alarm information; and then, aiming at the equipment of the Internet of things, executing an action of sending out alarm information so as to alarm related personnel.
In addition, the specific execution mode may be different for different target processing actions.
For example, in one implementation, the performing the target processing action for the internet of things device may include:
if the target processing action comprises sending alarm information, generating target alarm information for representing that the Internet of things equipment has a specified abnormal problem;
and sending target alarm information to a specified receiving end.
In a specific application, the designated receiving end may include:
the client side of the user to which the Internet of things equipment belongs, and/or the server side of the manufacturer to which the Internet of things equipment belongs. It can be understood that the joint monitoring device can be in butt joint with a server of a manufacturer of the internet of things equipment in advance, so that the joint monitoring device can be reported to the server of the manufacturer when the internet of things equipment has a specified abnormal problem; therefore, after-sale personnel of the manufacturer contact the user based on the alarm information received by the server and the contact information reserved by the user so as to guide the user to carry out problem repair; or after the after-sales personnel of the manufacturer receive the alarm information based on the server, the internet of things equipment can be upgraded through the cloud end to repair the problem, and the like. Therefore, after-sale simplification of the equipment aiming at the Internet of things is achieved through the mode.
In addition, it is emphasized that the target alarm information may also carry a processing scheme corresponding to the specified abnormal problem, thereby providing a repair reference for the user.
For example, in another implementation manner, the performing, for the internet of things device, the target processing action may include:
if the target processing action comprises starting a repair function, issuing a repair instruction for repairing the specified abnormal problem to the Internet of things equipment so that the Internet of things equipment can repair the abnormal problem after receiving the repair instruction.
The above specific implementation manner for executing the target processing action for the internet of things device is only an example, and should not be construed as a limitation to the embodiment of the present invention.
For the convenience of understanding the scheme, the scheme provided by the embodiment is further explained by combining fig. 3 and fig. 4.
As shown in fig. 3, the joint monitoring apparatus may include: the system comprises a configuration module, an access module, a monitoring module, a control module and an abnormal database; the after-sale contact module is the server of the manufacturer;
the configuration module may be configured to implement configuration of various information of the internet of things device, for example: configuration of exception conditions, configuration of processing actions, and the like;
the access module can be used for realizing registration of each sensing module (namely, a sensing device in fig. 3) in the internet of things, namely, accessing to the joint monitoring device;
the monitoring module may be configured to implement the steps of S101-S105 described in this embodiment; the control module can be used to implement the steps of S106-S107 of the present embodiment.
The exception database may be used to record mapping relationships between exception issues and processing actions, but is not limited thereto.
As shown in fig. 4, a joint monitoring method for devices in the internet of things may include the following steps:
new sensing device class access: the joint monitoring device can detect whether a newly registered sensing module exists;
association, data configuration and control configuration of the new sensing device and the old sensing device: when detecting a newly registered sensing module, the joint monitoring device may analyze whether the newly registered sensing module may perform monitoring association with a registered sensing module, thereby establishing or updating a monitoring association relationship; and configuring abnormal conditions corresponding to the abnormal problems for each sensing module; in addition, processing actions corresponding to each abnormal problem are configured;
monitoring the sensing device: in the combined monitoring process, the combined monitoring device acquires monitoring data acquired by a target sensing module corresponding to the Internet of things equipment as target data;
obtaining abnormal data of a sensing device: the joint monitoring device can detect whether the target data meets an abnormal condition set for a specified abnormal problem;
judging abnormity according to a monitoring process: if the combined monitoring device detects that the target data meets the abnormal conditions set for the specified abnormal problems, acquiring a pre-established monitoring association relation related to each sensing module, and further determining other sensing modules except the target sensing module from the monitoring association relation; identifying whether the monitoring data collected by other sensing modules meet the abnormal conditions set for the specified abnormal problems or not; if not, judging that the specified abnormal problem exists in the Internet of things equipment
Controlling the Internet of things equipment: after judging that the specified abnormal problem exists in the Internet of things equipment, the combined monitoring device determines a target processing action corresponding to the specified abnormal problem; for the internet of things equipment, executing a target processing action, wherein the target processing action can be as follows: and providing a processing scheme for the user to which the Internet of things equipment belongs, or contacting after sale.
Therefore, by the scheme provided by the embodiment, the misjudgment rate of the abnormality of the equipment of the Internet of things can be reduced; moreover, after it is determined that the specified abnormal problem exists in the internet of things device, a target processing action corresponding to the specified abnormal problem can be determined, and the target processing action is executed for the internet of things device, so that the internet of things device with the abnormal problem is processed.
An embodiment of the present invention further provides a joint monitoring apparatus for an internet of things device, and as shown in fig. 5, the apparatus includes:
a first obtaining module 510, configured to obtain, as target data, monitoring data collected by a target sensing module corresponding to an internet of things device; the target perception module is a module for monitoring the running state of the Internet of things equipment;
a second obtaining module 520, configured to obtain a pre-established monitoring association relation about each sensing module if it is detected that the target data meets an abnormal condition set for a specified abnormal problem; wherein, each perception module comprises the target perception module, and each perception module is: the sensing module is used for identifying the specified abnormal problems in the same monitoring range by the collected data;
a first determining module 530, configured to determine, from the monitoring association, other sensing modules other than the target sensing module;
an identifying module 540, configured to identify whether the monitoring data collected by the other sensing modules meets an abnormal condition set for the specified abnormal problem;
and a determining module 550, configured to determine that the specified anomaly problem exists in the internet of things device if the specified anomaly problem does not exist.
Optionally, the apparatus further comprises:
a second determination module for determining a target processing action corresponding to the specified exception problem;
and the execution module is used for executing the target processing action aiming at the Internet of things equipment.
Optionally, the second determining module is specifically configured to:
and determining a target processing action corresponding to the specified abnormal problem from a preset mapping relation between the abnormal problem and the processing action.
Optionally, the execution module includes:
the generation submodule is used for generating target alarm information for representing that the designated abnormal problem exists in the Internet of things equipment if the target processing action comprises sending alarm information;
and the sending submodule is used for sending the target alarm information to the appointed receiving terminal.
Optionally, the designating the receiving end includes:
the client side of the user to which the Internet of things equipment belongs, and/or the server side of the manufacturer to which the Internet of things equipment belongs.
Optionally, each sensing module is: and in the same monitoring range, the sensing modules belong to the same type.
Optionally, the detecting manner of whether the target data meets the abnormal condition set for the specified abnormal problem includes:
detecting whether the target data exceeds a first abnormal threshold value which is set for a specified abnormal problem and corresponds to the target sensing module, and if so, detecting that the target data meets an abnormal condition set for the specified abnormal problem;
the identification module is specifically configured to:
and identifying whether the monitoring data collected by the other sensing modules exceeds a second abnormal threshold value which is set for the specified abnormal problem and corresponds to the other sensing modules, and if so, identifying the monitoring data collected by the other sensing modules and meeting the abnormal condition set for the specified problem.
An embodiment of the present invention further provides an electronic device, as shown in fig. 6, including a processor 601, a communication interface 602, a memory 603, and a communication bus 604, where the processor 601, the communication interface 602, and the memory 603 complete mutual communication through the communication bus 604,
a memory 603 for storing a computer program;
the processor 601 is configured to implement the steps of the joint monitoring method for the internet of things device when executing the program stored in the memory 603.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
In another embodiment provided by the present invention, a computer-readable storage medium is further provided, in which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the joint monitoring method for devices in the internet of things.
In yet another embodiment provided by the present invention, a computer program product containing instructions is also provided, which when run on a computer, causes the computer to execute the joint monitoring method for the internet of things device in the above embodiment.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (16)
1. A joint monitoring method for Internet of things equipment is characterized by comprising the following steps:
acquiring monitoring data acquired by a target sensing module corresponding to the Internet of things equipment as target data; the target perception module is a module for monitoring the running state of the Internet of things equipment;
if the target data are detected to meet the abnormal conditions set for the specified abnormal problems, acquiring a pre-established monitoring association relation related to each sensing module; wherein, each perception module comprises the target perception module, and each perception module is: the sensing module is used for identifying the specified abnormal problems in the same monitoring range by the collected data;
determining other sensing modules except the target sensing module from the monitoring incidence relation;
identifying whether the monitoring data collected by the other sensing modules meet the abnormal conditions set for the specified abnormal problems or not;
and if not, judging that the specified abnormal problem exists in the Internet of things equipment.
2. The method of claim 1, wherein after determining that the specified anomaly problem exists in the internet of things device itself, the method further comprises:
determining a target processing action corresponding to the specified exception problem;
and executing the target processing action aiming at the Internet of things equipment.
3. The method of claim 2, wherein the determining a target processing action corresponding to the specified exception problem comprises:
and determining a target processing action corresponding to the specified abnormal problem from a preset mapping relation between the abnormal problem and the processing action.
4. The method of claim 2, wherein the performing the target processing action for the internet of things device comprises:
if the target processing action comprises sending out alarm information, generating target alarm information for representing that the designated abnormal problem exists in the Internet of things equipment;
and sending target alarm information to a specified receiving end.
5. The method of claim 4, wherein the designating the receiving end comprises:
the client side of the user to which the Internet of things equipment belongs, and/or the server side of the manufacturer to which the Internet of things equipment belongs.
6. The method according to any one of claims 1-5, wherein each of the perception modules is: and in the same monitoring range, the sensing modules belong to the same type.
7. The method according to any one of claims 1 to 5, wherein the manner of detecting whether the target data meets an abnormal condition set for a specified abnormal problem includes:
detecting whether the target data exceeds a first abnormal threshold value which is set for a specified abnormal problem and corresponds to the target sensing module, and if so, detecting that the target data meets an abnormal condition set for the specified abnormal problem;
the identifying whether the monitoring data collected by the other sensing modules meet the abnormal condition set for the specified abnormal problem includes:
and identifying whether the monitoring data collected by the other sensing modules exceeds a second abnormal threshold value which is set for the specified abnormal problem and corresponds to the other sensing modules, and if so, identifying the monitoring data collected by the other sensing modules and meeting the abnormal condition set for the specified problem.
8. A joint monitoring device for Internet of things equipment, the device comprising:
the first acquisition module is used for acquiring monitoring data acquired by a target sensing module corresponding to the Internet of things equipment as target data; the target perception module is a module for monitoring the running state of the Internet of things equipment;
the second acquisition module is used for acquiring a pre-established monitoring association relation related to each perception module if the target data are detected to meet the abnormal condition set for the specified abnormal problem; wherein, each perception module comprises the target perception module, and each perception module is: the sensing module is used for identifying the specified abnormal problems in the same monitoring range by the collected data;
the first determining module is used for determining other sensing modules except the target sensing module from the monitoring incidence relation;
the identification module is used for identifying whether the monitoring data collected by the other sensing modules meet the abnormal conditions set for the specified abnormal problems or not;
and the judging module is used for judging that the specified abnormal problem exists in the Internet of things equipment if the specified abnormal problem does not conform to the preset abnormal condition.
9. The apparatus of claim 8, further comprising:
a second determination module for determining a target processing action corresponding to the specified exception problem;
and the execution module is used for executing the target processing action aiming at the Internet of things equipment.
10. The apparatus of claim 9, wherein the second determining module is specifically configured to:
and determining a target processing action corresponding to the specified abnormal problem from a preset mapping relation between the abnormal problem and the processing action.
11. The apparatus of claim 9, wherein the execution module comprises:
the generation submodule is used for generating target alarm information for representing that the designated abnormal problem exists in the Internet of things equipment if the target processing action comprises sending alarm information;
and the sending submodule is used for sending the target alarm information to the appointed receiving terminal.
12. The apparatus of claim 11, wherein the designated receiving end comprises:
the client side of the user to which the Internet of things equipment belongs, and/or the server side of the manufacturer to which the Internet of things equipment belongs.
13. The apparatus according to any one of claims 8-12, wherein each sensing module is: and in the same monitoring range, the sensing modules belong to the same type.
14. The apparatus according to any one of claims 8 to 12, wherein the manner of detecting whether the target data meets an abnormal condition set for a specified abnormal problem includes:
detecting whether the target data exceeds a first abnormal threshold value which is set for a specified abnormal problem and corresponds to the target sensing module, and if so, detecting that the target data meets an abnormal condition set for the specified abnormal problem;
the identification module is specifically configured to:
and identifying whether the monitoring data collected by the other sensing modules exceeds a second abnormal threshold value which is set for the specified abnormal problem and corresponds to the other sensing modules, and if so, identifying the monitoring data collected by the other sensing modules and meeting the abnormal condition set for the specified problem.
15. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of any of claims 1 to 7 when executing a program stored in the memory.
16. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method steps of any one of claims 1 to 7.
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