CN107196824B - Method for determining working state of monitored equipment and convergence unit - Google Patents

Method for determining working state of monitored equipment and convergence unit Download PDF

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Publication number
CN107196824B
CN107196824B CN201710463055.XA CN201710463055A CN107196824B CN 107196824 B CN107196824 B CN 107196824B CN 201710463055 A CN201710463055 A CN 201710463055A CN 107196824 B CN107196824 B CN 107196824B
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monitored
equipment
unit
data
data content
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CN107196824A (en
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杜光东
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Shenzhen Shenglu IoT Communication Technology Co Ltd
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Shenzhen Shenglu IoT Communication Technology Co Ltd
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Priority to PCT/CN2017/098646 priority patent/WO2018232978A1/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0805Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
    • H04L43/0817Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/52Network services specially adapted for the location of the user terminal
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/56Provisioning of proxy services
    • H04L67/565Conversion or adaptation of application format or content

Abstract

The invention relates to a method for determining the working state of monitored equipment and a convergence unit, wherein the method comprises the following steps: the aggregation unit receives the data element reported by the forwarding node, analyzes the data element, obtains data content and equipment types for all monitored equipment, identifies a plurality of monitored equipment of which the equipment types are the target equipment types interested by the aggregation unit from all the monitored equipment, identifies at least one monitored equipment of which the corresponding data content is not in the corresponding preset data content range from the plurality of monitored equipment, determines the working state of each monitored equipment in the at least one monitored equipment as an abnormal state, and sends an indication message to the terminal equipment monitoring each monitored equipment in the at least one monitored equipment. The embodiment of the invention can determine the monitored equipment with abnormal work in time, and is favorable for more meticulous and dynamic management of production and life.

Description

Method for determining working state of monitored equipment and convergence unit
Technical Field
The invention relates to the technical field of Internet of things, in particular to a method for determining the working state of monitored equipment and a convergence unit.
Background
In the architecture of the internet of things, a terminal device needs to collect data content of monitored equipment monitored by the terminal device and report the internet of things data including the data content to a forwarding node, and the forwarding node encapsulates the internet of things data sensed by the forwarding node into data elements and sends the data elements to a convergence unit directly or through a filtering gateway, so that the convergence unit performs analysis and decision according to the received data elements. Because the basis of analysis and decision-making by the convergence unit is the data content of the monitored equipment acquired by the terminal equipment, the monitoring equipment with abnormal work is more important to be identified in time so that people can more finely and dynamically manage production and life.
Disclosure of Invention
The embodiment of the invention discloses a method for determining the working state of monitored equipment and a convergence unit, which can determine the monitored equipment with abnormal working in time according to the data of the Internet of things reported by terminal equipment, and are favorable for more meticulous and dynamic management of production and life.
The first aspect of the embodiment of the invention discloses a method for determining the working state of monitored equipment, which comprises the following steps:
the aggregation unit receives data elements reported by a forwarding node, wherein the data elements are obtained by encapsulating massive Internet of things data sensed by the forwarding node, and each Internet of things data comprises a device type of monitored equipment monitored by terminal equipment reporting the Internet of things data and data content acquired by the terminal equipment aiming at the monitored equipment;
the aggregation unit analyzes the data elements to obtain data content and equipment types for all the monitored equipment, and identifies a plurality of monitored equipment of which the equipment types are the target equipment types interested by the aggregation unit from all the monitored equipment according to the equipment types for all the monitored equipment;
the aggregation unit identifies at least one monitored device, the corresponding data content of which is not in the corresponding preset data content range, from the multiple monitored devices according to the data content of each monitored device in the multiple monitored devices, and determines the working state of each monitored device in the at least one monitored device as an abnormal state;
and the convergence unit issues an indication message to the terminal equipment monitoring the at least one monitored equipment, wherein the indication message is used for indicating that the monitored equipment monitored by the terminal equipment receiving the indication message is abnormal in work.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, each piece of internet-of-things data further includes a geographic location where a terminal device that reports the internet-of-things data is located;
after the aggregation unit determines the working state of each monitored device in the at least one monitored device to be an abnormal state, and before the aggregation unit issues an indication message to a terminal device monitoring the at least one monitored device, the method further includes:
the convergence unit judges whether the geographical position where the terminal equipment of the at least one monitored device is located is the target geographical position interested by the convergence unit, and when the geographical position where the terminal equipment of the at least one monitored device is located is the target geographical position interested by the convergence unit, the operation of issuing an indication message to the terminal equipment of the at least one monitored device is triggered and executed.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, before the aggregation unit identifies, according to the data content for each monitored apparatus in the plurality of monitored apparatuses, at least one monitored apparatus whose corresponding data content is not within the corresponding preset data content range from the plurality of monitored apparatuses, the method further includes:
the aggregation unit judges whether the data type of the data content of each monitored device in the monitored devices comprises all preset data types corresponding to the monitored device, and when the data type of the data content of each monitored device in the monitored devices comprises all preset data types corresponding to the monitored device, the aggregation unit triggers to execute the operation of identifying at least one monitored device, in the monitored devices, of which the corresponding data content is not in the corresponding preset data content range, according to the data content of each monitored device in the monitored devices.
As an optional implementation manner, in the first aspect of this embodiment of the present invention, the method further includes:
the aggregation unit sends a work pause instruction to the monitored equipment, the number of times of which the number of times of the abnormal state in the at least one monitored equipment reaches a preset number threshold, according to the number of times of the abnormal state in the at least one monitored equipment counted in advance.
As an optional implementation manner, in the first aspect of this embodiment of the present invention, the method further includes:
the convergence unit judges that the number of times of the abnormal state in at least one monitored equipment reaches whether the monitored equipment of the preset number of times threshold value exists the standby monitored equipment, and when judging that the number of times of the abnormal state in at least one monitored equipment reaches the monitored equipment of the preset number of times threshold value exists the standby monitored equipment is monitored, the monitoring is carried out to the terminal equipment of the standby monitored equipment to send a work starting instruction.
The second aspect of the embodiments of the present invention discloses a convergence unit, which includes a receiving unit, an analyzing unit, an identifying unit, a determining unit, and an issuing unit, wherein:
the receiving unit is configured to receive a data element reported by a forwarding node, where the data element is obtained by encapsulating, by the forwarding node, massive internet of things data sensed by the forwarding node, and each piece of the internet of things data includes a device type of a monitored device monitored by a terminal device that reports the internet of things data and a data content acquired by the terminal device for the monitored device;
the analysis unit is used for analyzing the data elements to obtain data contents and equipment types aiming at all the monitored equipment;
the identification unit is used for identifying a plurality of monitored devices of which the device types are the target device types interested by the aggregation unit from all the monitored devices according to the device types of all the monitored devices, and identifying at least one monitored device of which the corresponding data content is not within the range of the corresponding preset data content from the plurality of monitored devices according to the data content of each monitored device in the plurality of monitored devices;
the determining unit is used for determining the working state of each monitored device in the at least one monitored device as an abnormal state;
the issuing unit is configured to issue an indication message to the terminal device monitoring the at least one monitored device, where the indication message is used to indicate that the monitored device monitored by the terminal device receiving the indication message is abnormal in operation.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, each piece of internet-of-things data further includes a geographic location where a terminal device that reports the internet-of-things data is located;
the convergence unit further comprises a first judgment unit, wherein:
the first judgment unit is used for judging whether the geographic position where the terminal equipment of at least one monitored device is located is the target geographic position interested by the convergence unit or not after the determining unit determines the working state of each monitored device in at least one monitored device to be abnormal and before the issuing unit issues the indication message to the terminal equipment of at least one monitored device, and when the geographic position where the terminal equipment of at least one monitored device is located is the target geographic position interested by the convergence unit, the issuing unit is triggered to execute the operation of issuing the indication message to the terminal equipment of at least one monitored device.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the aggregation unit further includes a second determination unit, where:
the second determination unit is configured to, before the identification unit identifies, according to the data content for each of the plurality of monitored apparatuses, at least one monitored apparatus whose corresponding data content is not within the corresponding preset data content range from the plurality of monitored apparatuses, determine whether the data type of the data content for each of the plurality of monitored apparatuses includes all preset data types corresponding to the monitored apparatus, and when the data type of the data content for each of the plurality of monitored apparatuses includes all preset data types corresponding to the monitored apparatus, trigger the identification unit to perform the operation of the at least one monitored apparatus whose corresponding data content is not within the corresponding preset data content range from the plurality of monitored apparatuses according to the data content for each of the plurality of monitored apparatuses Do this.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the issuing unit is further configured to send, according to the counted number of times that the working state of each monitored device in the at least one monitored device is the abnormal state in advance, a working suspension instruction to the monitored device whose number of times that the working state of the monitored device is the abnormal state reaches a preset number threshold.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the aggregation unit further includes a third determining unit, where:
the third judging unit is configured to judge whether a spare monitored device exists in the monitored device of which the frequency of the abnormal working state reaches the preset frequency threshold in the at least one monitored device;
the issuing unit is further configured to send a work starting instruction to a terminal device monitoring the standby monitored device when the third determining unit determines that the number of times that the working state in the at least one monitored device is the abnormal state reaches the preset number threshold of times of the standby monitored device.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, a convergence unit receives a data element reported by a forwarding node, the data element is obtained by packaging massive internet of things data sensed by the forwarding node, each internet of things data comprises a device type of monitored equipment monitored by a terminal device reporting the internet of things data and data content acquired by the terminal device aiming at the monitored equipment, the convergence unit analyzes the data element to obtain the data content and the device type aiming at all the monitored equipment, a plurality of monitored equipment of which the device type is a target device type interested by the convergence unit are identified from all the monitored equipment according to the device types aiming at all the monitored equipment, and at least one monitored equipment of which the corresponding data content is not in a corresponding preset data content range is identified from the plurality of monitored equipment according to the data content aiming at each monitored equipment in the plurality of monitored equipment, and determining the working state of each monitored device in the at least one monitored device as an abnormal state, and issuing an indication message to the terminal device monitoring the at least one monitored device, wherein the indication message is used for indicating that the monitored device monitored by the terminal device receiving the indication message is abnormal in working. By implementing the embodiment of the invention, the monitored equipment corresponding to the internet of things data of which the data content is not in the corresponding preset data content range, which is included in the internet of things data acquired by the monitored equipment interested in the convergence unit, can be determined as the monitored equipment with abnormal work, and the indication message is sent to the terminal equipment of the monitored equipment with abnormal work, so that the monitored equipment with abnormal work can be determined in time, and the method and the system are favorable for more precise and dynamic management of production and life.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and 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 drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic diagram of an architecture of an internet of things according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a method for determining an operating state of a monitored device according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of another method for determining the operating state of a monitored device according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a convergence unit according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of another convergence unit disclosed in the 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 by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses a method for determining the working state of monitored equipment and a convergence unit, which can determine the monitored equipment with abnormal work as the monitored equipment with abnormal work by determining the monitored equipment corresponding to the Internet of things data, which is not in the corresponding preset data content range, in the Internet of things data acquired by the monitored equipment interested in the convergence unit, and sending an indication message to the terminal equipment of the monitored equipment with abnormal work, so that the monitored equipment with abnormal work can be determined in time, and the method is favorable for more precise and dynamic management of production and life. The following are detailed below.
In order to better understand the embodiment of the present invention, an internet of things architecture disclosed in the embodiment of the present invention is introduced below. Referring to fig. 1, fig. 1 is a schematic diagram of an architecture of an internet of things according to an embodiment of the present invention. As shown in fig. 1, the internet of things architecture may include three layers, namely a terminal device layer, a forwarding node layer, and a convergence layer, according to functional division. The terminal device layer may include terminal devices of a large scale, such as a thermometer, a hygrometer, a smoke detector, a ventilation device, a rainfall sensor, an irrigation valve, and the like, and the terminal devices of the terminal device layer may directly acquire data of the internet of things in the nature, such as a real-time temperature of the current weather acquired by the thermometer, and may also directly acquire data of the internet of things of the monitored device monitored by the terminal devices, such as a real-time temperature of an engine acquired by the thermometer, and the embodiments of the present invention are not limited; the forwarding node layer may include a large number of forwarding nodes connected to a network, and the forwarding nodes may include a router, a repeater, an access point, and other devices, which is not limited in the embodiment of the present invention; the forwarding node can use any standard networking protocol, and can realize data analysis among different network systems; the aggregation layer can comprise a filter gateway and an aggregation unit, wherein the filter gateway can be in direct or brief communication connection with each forwarding node of the forwarding node layer through the Internet; the aggregation unit can perform high-level management on each forwarding node of the forwarding node layer through the filtering gateway, so that the control of data transmission frequency, network topology and other networking functions is realized; the convergence unit can analyze and decide the data of the internet of things generated by massive terminal equipment, and can also acquire information or configure parameters of the terminal equipment by sending an instruction (at the moment, the transmission of the data points to the terminal equipment); the aggregation unit may also introduce various services, from big data to social networks, even from social tools "like" to weather sharing, etc. In the internet of things architecture shown in fig. 1, each forwarding node may provide internet of things data transceiving service for a large number of terminal devices within its wireless coverage range, where each terminal device within its wireless coverage range may have a wireless communication module built therein, so that each forwarding node may perform wireless communication with each terminal device within its wireless coverage range in a wireless network communication manner. In the internet of things architecture shown in fig. 1, when a wireless communication module built in a terminal device is produced, an upper frequency point 470MHz and a lower frequency point 510MHz can be input, so that the wireless communication module can automatically define a communication frequency band as 470 MHz-510 MHz to meet the specification of the SRRC standard in china; or, the upper frequency point 868MHz and the lower frequency point 908MHz can be input, so that the wireless communication module can automatically define the communication frequency band to 868 MHz-908 MHz to meet the provisions of the European ETSI standard; or, an upper frequency point 918MHz and a lower frequency point 928MHz can be input, so that the wireless communication module can automatically define the communication frequency band as 918 MHz-928 MHz to meet the specification of the American FCC standard; alternatively, the communication frequency band of the wireless communication module may be defined to comply with the provisions of the japanese ARIB standard or the canadian IC standard, and the embodiment of the present invention is not limited thereto. In the internet of things architecture shown in fig. 1, the terminal device may adopt a method of combining Frequency Division Multiplexing (FDMA), Frequency-Hopping Spread Spectrum (FHSS), Dynamic Time Division Multiplexing (DTDMA), and back-off multiplexing (CSMA) to solve the interference problem.
Example one
Referring to fig. 2, fig. 2 is a schematic flowchart illustrating a method for determining a working state of a monitored device according to an embodiment of the present invention. As shown in fig. 2, the method of determining the operating state of the monitored equipment may include the following operations:
201. the aggregation unit receives data elements reported by the forwarding nodes, the data elements are obtained by packaging massive Internet of things data sensed by the forwarding nodes, and each Internet of things data comprises a device type of the monitored device monitored by the terminal device reporting the Internet of things data and data content acquired by the terminal device aiming at the monitored device.
In the embodiment of the present invention, the data content acquired by the terminal device may be data content of nature, such as temperature and soil humidity, directly acquired by the terminal device, or data content of monitored equipment, such as temperature of the monitored equipment, directly acquired by the terminal device. Each piece of internet-of-things data includes, in addition to data content collected or monitored by the terminal device reporting the internet-of-things data for the monitored device, a device type of the monitored device monitored by the terminal device reporting the internet-of-things data, where the data content monitored or collected by the terminal device for the monitored device is specifically a working parameter of the monitored device, such as current power consumption, current electric quantity, current temperature, and the like, and the embodiment of the present invention is not limited.
202. The aggregation unit analyzes the data elements to obtain the data content and the equipment types of all the monitored equipment.
In this embodiment of the present invention, the data element may further include a node identifier of the forwarding node, and the analyzing, by the aggregation unit, the data content and the device type for all the monitored devices may include:
and the aggregation unit judges whether the forwarding node is the forwarding node interested by the aggregation unit according to the node identification of the forwarding node included in the data element, and analyzes the data element when the forwarding node is the forwarding node interested by the aggregation unit to obtain the data content and the equipment type of all the monitored equipment. Therefore, the workload of the aggregation unit can be reduced only by processing the data elements reported by the interested forwarding nodes.
203. The aggregation unit identifies a plurality of monitored devices of which the device types are the target device types interested by the aggregation unit from all the monitored devices according to the device types aiming at all the monitored devices.
The workload of the convergence unit can be reduced by setting the type of the target device interested in the convergence unit.
204. The aggregation unit identifies at least one monitored device, of the plurality of monitored devices, whose corresponding data content is not within a corresponding preset data content range, according to the data content for each monitored device of the plurality of monitored devices.
205. The convergence unit determines the working state of each monitored device in the at least one monitored device as an abnormal state, and issues an indication message to the terminal device monitoring the at least one monitored device, wherein the indication message is used for indicating that the monitored device monitored by the terminal device receiving the indication message is abnormal in working.
The indication message may include a device identifier of each monitored device of the at least one monitored device and a device identifier of a terminal device for monitoring the monitored device.
In the embodiment of the present invention, for example, when data content for a monitored device included in the internet of things data is current power consumption of the monitored device, if the current power consumption is not within a preset normal power consumption range corresponding to the monitored device, the aggregation unit determines that the monitored device is abnormal in operation.
It can be seen that, by implementing the method for determining the working state of the monitored device described in fig. 2, the monitored device corresponding to the internet of things data, in which the data content included in the internet of things data acquired by the monitored device interested in the aggregation unit is not within the corresponding preset data content range, can be determined as the monitored device with abnormal working, and an indication message is sent to the terminal device of the monitored device with abnormal working, so that the monitored device with abnormal working can be determined in time, and more precise and dynamic management of production and life is facilitated.
Example two
Referring to fig. 3, fig. 3 is a schematic flowchart illustrating another method for determining an operating state of a monitored device according to an embodiment of the present invention. As shown in fig. 3, the method of determining the operating state of the monitored equipment may include the following operations:
301. the aggregation unit receives a data element reported by the forwarding node, wherein the data element is obtained by encapsulating the massive Internet of things data sensed by the forwarding node.
In the embodiment of the invention, each piece of internet of things data comprises the equipment type of the monitored equipment monitored by the terminal equipment reporting the internet of things data, the data content acquired by the terminal equipment aiming at the monitored equipment and the geographical position of the terminal equipment.
302. The aggregation unit analyzes the data elements to obtain the data content and the equipment types of all the monitored equipment.
303. The aggregation unit identifies a plurality of monitored devices of which the device types are the target device types interested by the aggregation unit from all the monitored devices according to the device types aiming at all the monitored devices.
304. The aggregation unit identifies at least one monitored device, of the plurality of monitored devices, whose corresponding data content is not within a corresponding preset data content range, according to the data content for each monitored device of the plurality of monitored devices.
305. The aggregation unit determines the working state of each monitored device in the at least one monitored device as an abnormal state.
306. The convergence unit judges whether the geographical locations where the terminal devices monitoring the at least one monitored device are located are the target geographical locations interested by the convergence unit, and when the judgment result of step 306 is yes, step 307 is triggered to be executed, and when the judgment result of step 306 is no, step 308 is triggered to be executed.
307. The convergence unit issues an indication message to the terminal equipment monitoring at least one monitored equipment.
308. And the aggregation unit sends an indication message to the terminal equipment which is used for monitoring the geographical position of all the terminal equipment of the at least one monitored equipment and is the target geographical position which is interested by the aggregation unit.
The indication message is used for indicating that one or more monitored devices in the at least one monitored device monitored by the terminal device receiving the indication message are abnormal in operation.
In an alternative embodiment, after performing step 303 and before performing step 304, the method of determining the operating state of the monitored device may further comprise the operations of:
the aggregation unit judges whether the data types of the data content for each monitored device in the plurality of monitored devices all include all preset data types corresponding to the monitored device, and when the data types of the data content for each monitored device in the plurality of monitored devices all include all preset data types corresponding to the monitored device, the aggregation unit triggers and executes the operation of identifying at least one monitored device, of the plurality of monitored devices, of which the corresponding data content is not within the range of the corresponding preset data content according to the data content for each monitored device in the plurality of monitored devices;
when it is determined that the data type of the data content for each of the plurality of monitored devices does not include all the preset data types corresponding to the monitored device, at least one monitored device of the plurality of monitored devices is identified, where the data type of the corresponding data content includes all the corresponding preset data types, and step 304-step 308 are triggered.
The optional embodiment can only determine whether the working state of the monitored equipment corresponding to the data content with complete data types is abnormal, so that the accuracy of the determined working state can be improved, and the workload of the convergence unit can be reduced.
In another optional embodiment, the method of determining the operating state of the monitored equipment further comprises the operations of:
the aggregation unit sends a work pause instruction to the monitored equipment of which the number of times of the abnormal working state in the at least one monitored equipment reaches a preset number threshold according to the number of times of the abnormal working state in the at least one monitored equipment counted in advance.
In this alternative embodiment, further optionally, the method for determining the operating state of the monitored equipment may further include the following operations:
the aggregation unit judges whether a standby monitored device exists in the monitored device of which the frequency of the abnormal working state reaches a preset frequency threshold value in the at least one monitored device, and sends a working starting instruction to a terminal device of the monitored standby monitored device when the monitored device of which the frequency of the abnormal working state reaches the preset frequency threshold value in the at least one monitored device is judged to exist in the monitored device.
The alternative embodiment can control the monitored equipment with abnormal work to pause work when the number of times of the abnormal work of the monitored equipment is more, and can further start the standby monitored equipment, so that the reliability of the Internet of things is further improved.
It can be seen that, by implementing the method for determining the working state of the monitored device described in fig. 3, the monitored device corresponding to the internet of things data, in which the data content included in the internet of things data acquired by the monitored device interested in the aggregation unit is not within the corresponding preset data content range, can be determined as the monitored device with abnormal working, and an indication message is sent to the terminal device of the monitored device with abnormal working, so that the monitored device with abnormal working can be determined in time, and more precise and dynamic management of production and life is facilitated.
EXAMPLE III
Referring to fig. 4, fig. 4 is a schematic structural diagram of a convergence unit according to an embodiment of the present invention. As shown in fig. 4, the aggregation unit 400 may include a receiving unit 401, an analyzing unit 402, an identifying unit 403, a determining unit 404, and an issuing unit 405, where:
the receiving unit 401 receives a data element reported by a forwarding node, where the data element is obtained by encapsulating, by the forwarding node, massive internet of things data sensed by the forwarding node, and each piece of internet of things data may include a device type of a monitored device monitored by a terminal device that reports the internet of things data and a data content acquired by the terminal device for the monitored device.
The analyzing unit 402 is configured to analyze the data elements received by the receiving unit 401, and obtain data content and device types for all monitored devices.
The identifying unit 403 is configured to identify, from all the monitored devices, a plurality of monitored devices whose device types are target device types interested by the aggregation unit according to the device types for all the monitored devices, and identify, from the plurality of monitored devices, at least one monitored device whose corresponding data content is not within a corresponding preset data content range according to the data content for each of the plurality of monitored devices.
The determining unit 404 is configured to determine the operating state of each monitored device of the at least one monitored device identified by the identifying unit 403 as an abnormal state.
The issuing unit 405 is configured to issue an indication message to the terminal device that monitors the at least one monitored device, where the indication message is used to indicate that the monitored device that is monitored by the terminal device that receives the indication message is abnormal in operation.
The indication message may include a device identifier of each monitored device of the at least one monitored device and a device identifier of a terminal device for monitoring the monitored device.
It can be seen that, by implementing the aggregation unit 400 described in fig. 4, the monitored device corresponding to the internet of things data whose data content is not within the corresponding preset data content range, which is included in the internet of things data collected by the monitored device interested in the aggregation unit, can be determined as the monitored device with abnormal work, and an indication message is sent to the terminal device of the monitored device with abnormal work, so that the monitored device with abnormal work can be determined in time, and more precise and dynamic management, production and life are facilitated.
In an optional embodiment, each piece of internet-of-things data may further include a geographic location where a terminal device that reports the internet-of-things data is located, and the aggregation unit 400 may further include a determining unit 406, where:
the determining unit 406 is configured to determine, after the determining unit 404 determines that the working state of each monitored device in the at least one monitored device is an abnormal state and before the issuing unit 405 issues an indication message to the terminal device that monitors the at least one monitored device, whether the geographic locations where the terminal devices that monitor the at least one monitored device are located are target geographic locations that are interested in the aggregation unit 400, and when the geographic locations where the terminal devices that monitor the at least one monitored device are monitored are target geographic locations that are interested in the aggregation unit 400, trigger the issuing unit 405 to perform the operation of issuing the indication message to the terminal device that monitors the at least one monitored device.
The issuing unit 405 may be further configured to send an indication message to a terminal device for monitoring that the geographic location of all the terminal devices of the at least one monitored device is the target geographic location interested by the aggregation unit 400, when the determining unit 406 determines that the geographic location where the terminal device monitoring the at least one monitored device is located is not the target geographic location interested by the aggregation unit 400.
Optionally, the determining unit 406 may be further configured to determine whether the data types of the data content for each of the plurality of monitored apparatuses include all preset data types corresponding to the monitored apparatus before the identifying unit 403 identifies, from the plurality of monitored apparatuses, at least one monitored apparatus whose corresponding data content is not within the corresponding preset data content range according to the data content for each of the plurality of monitored apparatuses, when the data type of the data content for each of the plurality of monitored apparatuses includes all the preset data types corresponding to the monitored apparatus, the trigger identifying unit 403 performs the above-described operation of identifying, from the plurality of monitored apparatuses, at least one monitored apparatus whose corresponding data content is not within the corresponding preset data content range, according to the data content for each of the plurality of monitored apparatuses.
The identifying unit 403 may be further configured to, when the determining unit 406 determines that the data type of the data content for each of the plurality of monitored apparatuses includes all the preset data types corresponding to the monitored apparatus, identify at least one monitored apparatus, from the plurality of monitored apparatuses, whose data type of the corresponding data content includes all the corresponding preset data types, and trigger the determining unit 404 to perform the operation of determining the operating state of each of the at least one monitored apparatus identified by the identifying unit 403 as the abnormal state.
It can be seen that, by implementing the aggregation unit 400 described in fig. 5, it is only possible to determine whether the working state of the monitored device corresponding to the data content with the complete data type is abnormal, so that the accuracy of the determined working state can be improved, and the workload of the aggregation unit 400 can be reduced.
Still further optionally, the issuing unit 405 may be further configured to send a work suspension instruction to the monitored equipment, of which the number of times of the abnormal working state of the at least one monitored equipment reaches the preset number threshold, according to the number of times of the abnormal working state of each monitored equipment of the at least one monitored equipment counted in advance.
Still further optionally, the determining unit 406 may be further configured to determine whether a spare monitored device exists in the monitored device whose frequency that the operating state is the abnormal state reaches a preset frequency threshold in the at least one monitored device.
The issuing unit 405 may further send a work start instruction to a terminal device that monitors the standby monitored device when the determining unit 406 determines that the monitored device in which the number of times of the abnormal working state in the at least one monitored device reaches the preset number threshold exists in the standby monitored device.
It can be seen that, by implementing the aggregation unit 400 described in fig. 5, when the number of times of the abnormal operation of the monitored device is large, the monitored device can be controlled to suspend operation, and the standby monitored device can be further started, so that the reliability of the internet of things is further improved.
It will be understood by those skilled in the art that all or part of the steps in the methods of the embodiments described above may be implemented by hardware instructions of a program, and the program may be stored in a computer-readable storage medium, where the storage medium includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM), or other Memory, such as a magnetic disk, or a combination thereof, A tape memory, or any other medium readable by a computer that can be used to carry or store data.
The method for determining the working state of the monitored equipment and the convergence unit disclosed by the embodiment of the invention are described in detail, a specific example is applied in the text to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (8)

1. A method of determining an operating condition of a monitored device, the method comprising:
the aggregation unit receives data elements reported by a forwarding node, wherein the data elements are obtained by encapsulating massive Internet of things data sensed by the forwarding node, and each Internet of things data comprises a device type of monitored equipment monitored by terminal equipment reporting the Internet of things data and data content acquired by the terminal equipment aiming at the monitored equipment;
the aggregation unit analyzes the data elements to obtain data content and equipment types for all the monitored equipment, and identifies a plurality of monitored equipment of which the equipment types are the target equipment types interested by the aggregation unit from all the monitored equipment according to the equipment types for all the monitored equipment;
the aggregation unit identifies at least one monitored device, the corresponding data content of which is not in the corresponding preset data content range, from the multiple monitored devices according to the data content of each monitored device in the multiple monitored devices, and determines the working state of each monitored device in the at least one monitored device as an abnormal state;
the convergence unit issues an indication message to the terminal equipment monitoring the at least one monitored equipment, wherein the indication message is used for indicating that the monitored equipment monitored by the terminal equipment receiving the indication message is abnormal in work;
the aggregation unit identifies, according to the data content for each monitored device of the plurality of monitored devices, that the corresponding data content is not in front of at least one monitored device of the plurality of monitored devices within the corresponding preset data content range, and the method further includes:
the aggregation unit judges whether the data type of the data content of each monitored device in the monitored devices comprises all preset data types corresponding to the monitored device, and when the data type of the data content of each monitored device in the monitored devices comprises all preset data types corresponding to the monitored device, the aggregation unit triggers to execute the operation of identifying at least one monitored device, in the monitored devices, of which the corresponding data content is not in the corresponding preset data content range, according to the data content of each monitored device in the monitored devices.
2. The method according to claim 1, wherein each piece of internet-of-things data further includes a geographical location of a terminal device reporting the internet-of-things data;
after the aggregation unit determines the working state of each monitored device in the at least one monitored device to be an abnormal state, and before the aggregation unit issues an indication message to a terminal device monitoring the at least one monitored device, the method further includes:
the convergence unit judges whether the geographical position where the terminal equipment of the at least one monitored device is located is the target geographical position interested by the convergence unit, and when the geographical position where the terminal equipment of the at least one monitored device is located is the target geographical position interested by the convergence unit, the operation of issuing an indication message to the terminal equipment of the at least one monitored device is triggered and executed.
3. A method of determining the operating state of a monitored device as claimed in claim 1 or 2, further comprising:
the aggregation unit sends a work pause instruction to the monitored equipment, the number of times of which the number of times of the abnormal state in the at least one monitored equipment reaches a preset number threshold, according to the number of times of the abnormal state in the at least one monitored equipment counted in advance.
4. The method of determining the operating condition of a monitored device as claimed in claim 3, further comprising:
the convergence unit judges that the number of times of the abnormal state in at least one monitored equipment reaches whether the monitored equipment of the preset number of times threshold value exists the standby monitored equipment, and when judging that the number of times of the abnormal state in at least one monitored equipment reaches the monitored equipment of the preset number of times threshold value exists the standby monitored equipment is monitored, the monitoring is carried out to the terminal equipment of the standby monitored equipment to send a work starting instruction.
5. The convergence unit is characterized by comprising a receiving unit, an analyzing unit, an identifying unit, a determining unit and a sending unit, wherein:
the receiving unit is configured to receive a data element reported by a forwarding node, where the data element is obtained by encapsulating, by the forwarding node, massive internet of things data sensed by the forwarding node, and each piece of the internet of things data includes a device type of a monitored device monitored by a terminal device that reports the internet of things data and a data content acquired by the terminal device for the monitored device;
the analysis unit is used for analyzing the data elements to obtain data contents and equipment types aiming at all the monitored equipment;
the identification unit is used for identifying a plurality of monitored devices of which the device types are the target device types interested by the aggregation unit from all the monitored devices according to the device types of all the monitored devices, and identifying at least one monitored device of which the corresponding data content is not within the range of the corresponding preset data content from the plurality of monitored devices according to the data content of each monitored device in the plurality of monitored devices;
the determining unit is used for determining the working state of each monitored device in the at least one monitored device as an abnormal state;
the issuing unit is used for issuing an indication message to the terminal equipment monitoring the at least one monitored equipment, wherein the indication message is used for indicating that the monitored equipment monitored by the terminal equipment receiving the indication message is abnormal in work;
the convergence unit further comprises a second judgment unit, wherein:
the second determination unit is configured to, before the identification unit identifies, according to the data content for each of the plurality of monitored apparatuses, at least one monitored apparatus whose corresponding data content is not within the corresponding preset data content range from the plurality of monitored apparatuses, determine whether the data type of the data content for each of the plurality of monitored apparatuses includes all preset data types corresponding to the monitored apparatus, and when the data type of the data content for each of the plurality of monitored apparatuses includes all preset data types corresponding to the monitored apparatus, trigger the identification unit to perform the operation of the at least one monitored apparatus whose corresponding data content is not within the corresponding preset data content range from the plurality of monitored apparatuses according to the data content for each of the plurality of monitored apparatuses Do this.
6. The aggregation unit according to claim 5, wherein each piece of IOT data further includes a geographic location of a terminal device that reports the IOT data;
the convergence unit further comprises a first judgment unit, wherein:
the first judgment unit is used for judging whether the geographic position where the terminal equipment of at least one monitored device is located is the target geographic position interested by the convergence unit or not after the determining unit determines the working state of each monitored device in at least one monitored device to be abnormal and before the issuing unit issues the indication message to the terminal equipment of at least one monitored device, and when the geographic position where the terminal equipment of at least one monitored device is located is the target geographic position interested by the convergence unit, the issuing unit is triggered to execute the operation of issuing the indication message to the terminal equipment of at least one monitored device.
7. The aggregation unit according to claim 5 or 6, wherein the issuing unit is further configured to send a work suspension instruction to the monitored device, whose number of times the working state of each monitored device in the at least one monitored device is the abnormal state reaches a preset number threshold, according to the number of times that the working state of each monitored device in the at least one monitored device is counted in advance as the abnormal state.
8. The convergence unit of claim 7, further comprising a third determination unit, wherein:
the third judging unit is configured to judge whether a spare monitored device exists in the monitored device of which the frequency of the abnormal working state reaches the preset frequency threshold in the at least one monitored device;
the issuing unit is further configured to send a work starting instruction to a terminal device monitoring the standby monitored device when the third determining unit determines that the number of times that the working state in the at least one monitored device is the abnormal state reaches the preset number threshold of times of the standby monitored device.
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