TWI740380B - Monitoring equipment system and method thereof - Google Patents

Abstract

This invention provides a monitoring equipment system, where multiple IoT device settings, data processing, and monitoring services for IoT devices are performed simultaneously, with multiple monitoring processors, data processors, and monitoring application set modules, and the status information of the IoT device can be determined only based on the information such as the cycle and frequency of the data uploaded by the IoT device; therefore, as long as it is an IoT device that can upload data to the IoT platform, it can be monitored without being limited by the setting restrictions of the IoT device. In addition, by performing lightweight reassignment to select IoT devices suitable for monitoring by the monitoring application set modules at different points in time, it is possible to monitor a large amount of IoT device data with only a small amount of resources, thereby improving the efficiency of monitoring services. This invention further provides a method for the monitoring equipment.

Description

System and method for monitoring equipment

The present invention relates to the technology of the Internet of Things, in particular to a system and method for monitoring Internet of Things devices.

With the popularization of the Internet of Things technology, the need to monitor the Internet of Things devices to maintain the operation of the Internet of Things system has also emerged.

In the application of traditional monitoring IoT devices, additional devices (including monitoring screens, sensors, alarms and communication equipment, etc.) can be set up to collect the status data of each IoT device and send it to the monitoring host for analysis; or Configure the IoT device or sensor to convert the raw data generated by it into a unified format and send it to the data processing center for analysis; or to log the IoT device that can access the network log The data is normalized for monitoring. However, in the above-mentioned applications, setting up additional devices will consume additional costs. In addition, there are IoT devices in the existing market that cannot convert the original data into the desired format, and there are also Internet logs that cannot be accessed. IoT devices. It can be seen that the current methods for monitoring IoT devices still have many limitations and cannot be fully monitored.

Therefore, how to realize the monitoring of the Internet of Things equipment without being restricted by the hardware of the Internet of Things equipment is one of the important topics in this technical field.

In order to solve the above problems, the present invention provides a system for monitoring equipment, including: a monitoring application set module, which is used to provide management services for the Internet of Things equipment and maintain the monitoring information of the Internet of Things equipment; The data data uploaded by the Internet of Things device generates interpretation data; a lightweight transfer device is used to extract the interpretation data to generate a transfer packet; and a monitoring processor is used to parse the transfer packet and extract the monitoring information, To perform the monitoring service of the IoT device.

In the aforementioned system, the management service of the IoT device includes: maintaining the monitoring settings of the IoT device; maintaining the status information of the IoT device; and maintaining a historical record of the status information, wherein the monitoring settings are used To set whether the IoT device is a monitoring object, and the status information is used to record the online, abnormal, and offline status of the IoT device, and the historical record is used to record the changes in the status information during the monitoring period, and the monitoring The setting, the status information and the history record are marked by the identification code of the Internet of Things device and recorded in the database by the monitoring application set module.

In the aforementioned system, after the monitoring setting of the Internet of Things device is set as a monitoring target, the monitoring application set module generates the monitoring message, and after the monitoring setting is set as a non-monitoring target, the monitoring application set module The group deletes the monitoring message.

In the aforementioned system, the content of the monitoring message includes the identification code of the Internet of Things device, the upload period, the frequency range of the preset upload data in the upload period, the status information, and the last change time of the status information.

In the aforementioned system, the content of the interpretation data includes the upload cycle of the IoT device, the identification code, the current upload time of the uploaded data, the cumulative number of data uploaded in the upload cycle, and the data uploaded in the upload cycle The time of the first upload.

x,x｜Cm,x

Cm,Cm=UT%M,x

N,UT

N,M

N計算該x集合，其中，UT係代表以世界協調時間基準到目前時間的總分鐘數，且M係代表物聯網設備允許設置之最大上傳週期。 In the aforementioned system, the method for the lightweight redirector to extract the interpretive data to generate a transfer packet includes the following steps: perform a lightweight transfer to calculate the x set of upload cycles of the IoT devices to be monitored by the monitoring service; Extracting the interpretive data includes the upload period that matches any of the x sets; and producing the extracted interpretive data into the transfer packet, where the lightweight transfer system is based on the formula

x,x｜Cm,x

Cm,Cm=UT%M,x

N,UT

N,M

N calculates the set of x, where UT represents the total number of minutes from the current time based on UTC, and M represents the maximum upload period allowed to be set by the IoT device.

In the aforementioned system, the status information contained in the monitoring message, the status information and historical records in the database are updated by the monitoring application set module according to the judgment result of the monitoring service.

In the aforementioned system, the monitoring processor notifies the monitoring application set module when the monitoring service determines that the cumulative number of uploads of data by the Internet of Things device in the upload period exceeds the preset frequency range of uploading data The status information of the Internet of Things device is abnormal, and the monitoring processor determines in the monitoring service that the interval between the current upload time of the data uploaded by the Internet of Things device and the initial upload time of the uploaded data in the upload cycle exceeds the upload During the period, the monitoring application set module is notified that the status information of the Internet of Things device is offline.

In the aforementioned system, the management service includes: storing the content of the interpretation data generated by the data processor in the database; providing external services to call the monitoring application set module to access the monitoring settings and status in the database Information, historical records and interpretation data content; and when the monitoring setting of the IoT device is set as a non-monitoring object, delete the monitoring setting, status information, historical record and interpretation data content corresponding to the identification code in the database.

The present invention further provides a method for monitoring equipment, which includes: ordering a data processor to receive data uploaded by an Internet of Things equipment; ordering the data processor to confirm that the monitoring information of the Internet of Things equipment is stored in the monitoring information cache; and ordering the data The processor produces the data into interpretation data and stores it in the interpretation data cache; makes the lightweight forwarder perform lightweight forwarding to extract the interpretation data; makes the lightweight forwarder produce the interpretation data In order to transfer the packet; make the monitoring processor receive the transferred packet and correspondingly extract the monitoring message of the Internet of Things device; make the monitoring processor analyze the interpretation data and the content of the monitoring message; and make the monitoring processor determine the Status information of IoT devices.

In the aforementioned method, after the Internet of Things device is set as a monitoring target, the monitoring application set module generates the monitoring message, and after the Internet of Things device is set as a non-monitoring target, the monitoring application set module deletes the monitoring application set module. Monitor messages.

In the aforementioned method, the content of the monitoring message includes the identification code of the Internet of Things device, the upload period, the frequency range of the preset upload data in the upload period, the status information, and the last change time of the status information.

In the aforementioned method, the content of the interpretation data includes the upload cycle of the IoT device, the identification code, the current upload time of the uploaded data, the cumulative number of uploads in the upload cycle, and the first upload of the data in the upload cycle Upload time.

x,x｜Cm,x

Cm,Cm=UT%M,x

N,UT

N,M

N計算該x集合，其中，UT係代表以世界協調時間基準到目前時間的總分鐘數，且M係代表物聯網設備允許設置之最大上傳週期。 In the aforementioned method, the step of causing the lightweight transfer device to perform lightweight transfer to extract the interpretation data includes the following sub-steps: to make the lightweight transfer device perform the lightweight transfer to calculate the object to be monitored The x set of the upload period of the networked device; and the lightweight translator extracts the interpreter to extract the upload period that matches any one of the x sets, wherein the lightweight transponder uses the formula

x,x｜Cm,x

Cm,Cm=UT%M,x

N,UT

N,M

N calculates the set of x, where UT represents the total number of minutes from the current time based on UTC, and M represents the maximum upload period allowed to be set by the IoT device.

In the aforementioned method, the way for the monitoring processor to determine the status information of the Internet of Things device includes: the monitoring processor determines that the cumulative number of uploads of data data of the Internet of Things device in the upload cycle exceeds the preset upload data data When the frequency range is within the frequency range, it is judged that the status information of the Internet of Things device is abnormal; or the monitoring processor is judging that the interval between the current upload time of the uploaded data of the Internet of Things device and the initial upload time of the uploaded data in the upload cycle exceeds During the upload period, it is determined that the status information of the Internet of Things device is offline.

In the foregoing method, the further includes: ordering the monitoring application set module to record the result of the monitoring processor determining the status information of the Internet of Things device as a historical record of the status information, wherein the historical record is stored in a database ; Make the external service call the monitoring application set module to access the historical record in the database; and make the external service execute the abnormal handling operation of the IoT device based on the historical record.

In summary, the monitoring device system and method of the present invention uses multiplexed monitoring processors, data processors, and monitoring application set modules to simultaneously execute the settings of multiple IoT devices and the processing of data data. And the monitoring service of the Internet of Things equipment and other operations, and only need to judge the status information of the Internet of Things equipment based on the period and frequency of the data uploaded by the Internet of Things equipment, so as long as it is the Internet of Things that can upload data to the Internet of Things platform All devices can be monitored without being restricted by the setting restrictions of IoT devices. In addition, by performing lightweight transfers to select IoT devices suitable for monitoring by the monitored application set module at different points in time, it is possible to monitor a large number of IoT device data with only a small amount of resources, thereby greatly improving the efficiency of monitoring services .

101: Web interface/mobile application

102: IoT devices

103: Data Sheet

104: database/table

110: Data Agent

120: data processor

130: Monitoring application set module

140: Monitor message cache

141: Monitoring message

150: Interpretation data cache

151: Interpretation of Data

160: Lightweight Dispatcher

170: Assign a packet agent

180: monitor processor

310: IoT devices

311: Internet of Things webpage

312: Internet of Things API

313:postgresql

320: Raw Data-Agent

330: redis

331: monitoring message

332: Interpretation of Data

340: Packet-Agent

350: Raw Data-Consumer

360: ams-scheduler

370: ams-consumer

380: ams-application

S210~S260: steps

Figure 1 is a schematic architecture diagram showing the system of the monitoring device of the present invention;

Figure 2 is a flowchart showing the steps of the monitoring device method of the present invention; and

Figure 3 shows the implementation of the monitoring device system and method of the present invention.

The following specific examples are used to illustrate the implementation of this case. Those who are familiar with this technique can easily understand the other advantages and effects of this case from the content disclosed in this article. The structure, ratio, size, etc. shown in the drawings in this manual are only used to match the content disclosed in the manual for the understanding and reading of those who are familiar with the art, and are not used to limit the limited conditions that can be implemented in this case. Therefore, any modification, change or adjustment shall still fall within the scope of the technical content disclosed in this case without affecting the effects and objectives that can be achieved in this case.

In the schematic architecture diagram shown in Figure 1, the monitoring device system of the present invention mainly includes a data processor 120, a monitoring application set module 130, a lightweight dispatcher 160 and a monitoring processor 180, etc., which are related to the first 1 The other components shown in the figure cooperate with the communication connection to monitor various IoT devices 102.

In the disclosure of FIG. 1, only one IoT device 102 is shown for ease of understanding. However, the system of the present invention can also serve a plurality of IoT devices 102 at the same time as needed.

Please see the monitoring application set module 130, which is set in the device and provides multiple application programming interfaces (APIs) that can be called by external services to perform management services for the IoT device 102, including: update Or obtain the monitoring settings of the Internet of Things device 102, update or obtain the status information of the Internet of Things device 102, read the history records of the status information of the Internet of Things device 102, etc.

In this embodiment, the monitoring application set module 130 is a multiplexed component, which means that the management service of the aforementioned IoT device 102 can be executed continuously and in parallel.

In this embodiment, before or during the implementation of the monitoring service of the IoT device 102 in the system of the present invention, the administrator can call the monitoring application module 130 through the web interface/mobile application 101 and set the IoT device to be monitored 102. At this time, the monitoring application set module 130 will store the monitoring information 141 generated according to the IoT device 102 designated by the administrator in the message cache (for example, the monitoring message cache 140), and synchronize it with the database/data The table 104 records the monitoring settings and status information of the IoT device 102.

In one embodiment, the monitoring message 141 is implemented in a key-value manner. For example, the monitoring message 141 can be expressed in the form of "A288: 3|2|5|online|1562635802000", and its key field (key) describes the identification code of the IoT device 102 that the manager wants to monitor is A288, and its The value field describes that the IoT device 102 has an upload period of 3 minutes, and the preset frequency range for uploading data within this upload period (for example, uploading 2 (minimum) to 5 (maximum) within 3 minutes by default) Data), the current status information is online, and the last change time of the status information is 1562635802000 milliseconds, etc. At the same time, the monitoring application set module 130 will also record in the data table/database 104 that the monitoring setting of the IoT device 102 with the identification code A288 is "to be monitored" and the current status information is "online".

In this embodiment, the administrator can also call the monitoring application module 130 through the web interface/mobile application 101 to change the monitoring settings of the animal networking device 102. For example, the administrator can set the monitoring setting of another IoT device 102 (for example, the IoT device 102 with an identification code of A287) to "non-monitoring". At this time, the monitoring application module 130 will cache the message In the pool (for example, the monitoring message cache 140), delete the monitoring message 141 of A287 in the key field, and synchronize the monitoring settings and status of the IoT device 102 with the identification code A287 in the data table/database 104 Information deleted.

In this embodiment, the monitoring application set module 130 can also update the monitoring information 141 and the status information and historical records in the data table/database 104 in cooperation with the monitoring situation of the IoT device 102 by the system of the present invention. For example, when the status information of a certain IoT device 102 (for example, the IoT device 102 with the identification code A288) is changed from "online" to "offline" or "abnormal" , The monitoring application set module 130 will change the status information in the value field of the monitoring message 141 corresponding to the IoT device 102 in the monitoring message cache 140 to "offline" or "abnormal" "And update the last change time of the status information, and synchronize the data table/database 104 to add the status information and change time of the IoT device 102 to accumulate the above data as a historical record of the status information of the IoT device 102 (e.g. , With the status information change time as the difference).

In this embodiment, the monitoring application set module 130 can also export the historical records of the status information of the IoT device 102 in the database/data table 104 for the execution of abnormal handling operations of the IoT device 102. For example, the administrator can call the monitoring application module 130 through the web interface/mobile application 101 to access the historical record of the status information of the IoT device 102 stored in the database/data sheet 104 and export it in the form of reports, and then according to The abnormal information in this historical record executes the abnormal processing operation of the IoT device 102. Or, for example, the web interface/mobile application 101 can query the history record of the status information of the IoT device 102 stored in the database/data table 104 according to the administrator settings or at a fixed time, and send an alarm message when an abnormality is found ( For example, MQTT/SMS/EMAIL/LINE message notification, etc.) or activate the alarm device.

In some embodiments, the web interface/mobile application 101 is provided by a third-party service or an external service, and there may be only one of them or both, or according to the system The difference needs to be set to implement any one of setting the IoT device 102, exporting reports, sending or receiving alarm messages, and activating the alarm device.

Now please see the data processor 120 in FIG. 1, which is used to generate the interpretation data 151 based on the data data 103 uploaded by the IoT device 102. The data processor 120 is also a multiplexed component, and can process data 103 from multiple IoT devices 102 continuously and in parallel.

In this embodiment, the data 103 uploaded by the IoT device 102 will be first transmitted (for example, continuously uploaded at a fixed cycle or frequency) to the data agent 110, and the data processor 120 will then subscribe to the data agent 110 to obtain the data. 103. At this time, the data processor 120 first searches for the relevant monitoring message 141 in the monitoring message cache 140 according to the identification code of the IoT device 102 associated with the data data 103 (for example, the identification code is A288). If there is no monitoring message of the IoT device 102 in the monitoring message cache 140 (that is, the monitoring message with the key field of A288 cannot be found), it means that the IoT device 102 is not the object that the administrator wants to monitor. Data processing The device 120 ignores the data 103 and the system of the present invention will not monitor the IoT device 102. If there is a monitoring message 141 of the IoT device 102 in the monitoring message cache 140 (that is, the monitoring message 141 with the key field being A288), it means that the IoT device 102 is the device that the administrator wants to monitor, and the data is processed The device 120 then continues the interpretation data setting method.

The interpretation data setting method described herein is a method of generating or updating the interpretation data 151 in the interpretation data cache 150. In this embodiment, the interpretation data 151 is also implemented in a key-value manner. For example, the interpretation data 151 can be expressed in the form of "3A288: 1562635875000|1|1562635804000". Among them, the key field is the upload period of the IoT device 102 (for example, an upload period of 3 minutes, which also means that the IoT device 102 needs every 3 The monitoring is performed every minute, and is also referred to herein as a combination of "point-factor") and identification code (for example, A288). In addition, the content of the value field indicates the current upload time of the IoT device 102 (hereinafter referred to as the "current upload time" and expressed in milliseconds), the cumulative number of uploads during the upload cycle, and the number of uploads respectively. The time of the first upload of data 103 in the cycle (hereinafter referred to as "initial upload time" and expressed in milliseconds). The content of the interpretation data 151 is one of the criteria for judging the status information of each IoT device 102 when the system of the present invention performs subsequent monitoring services.

In the aforementioned interpretation data setting method, the data processor 120 first confirms whether the interpretation data 151 with the identification code of the IoT device 102 (for example, 3A288) exists in the key field in the interpretation data cache 150. If not, it means that this data 103 is the data 103 uploaded by the IoT device 102 for the first time in the upload cycle. The data processor 120 then generates a new interpretation data 151 and stores it in the interpretation data cache 150. At this time, the new interpretation data 151 can be expressed as "3A288: 1562635875000｜1｜156235875000", where the current upload time and the first upload time of the interpretation data 151 are both the time of uploading the data and the accumulation of the uploaded data. The number of times is 1. If the interpretation data cache 150 already has the interpretation data 151 with the key field of 3A288 (for example, the interpretation data 151 with "3A288:1562635804000|1|156235804000" already exists), the data processor 120 updates the interpretation data 151 as "3A288: 1562635875000|2|156235804000", where the current upload time of this interpretive data 151 is updated to the time of this upload of data 103 and the cumulative number of uploads has been accumulated from 1 to 2.

In one embodiment, the system of the present invention also stores the content of the interpretation data 151 in the database/data table 104. For example, after the data processor 120 generates the interpretation data 151, it also calls the monitoring application set module 130 to store the content of the interpretation data 151 in the database/data table 104. The administrator can also call the monitoring application through the web interface/mobile application 101 The collection module 130 is used to access the content of the interpretation data 151 (for example, output in the form of a report for browsing) as auxiliary data for the exception handling operation. As mentioned earlier, when the monitoring setting of an IoT device 102 is modified to "no monitoring" by the administrator, the content of the interpretation data 151 corresponding to the identification code of the IoT device 102 in the database/data table 104 will also follow. delete.

In Figure 1, the monitoring message cache 140 and the interpretation data cache 150 are drawn as separate components. However, the monitoring message cache 140 and the interpretation data cache 150 can also be implemented in the same message cache. As shown in the implementation mode in Figure 3 introduced later.

Now please see the lightweight dispatcher 160 in Figure 1, which is used to execute the lightweight dispatch algorithm to determine the IoT devices 102 to be monitored, according to the upload cycle of each IoT device 102 (sub-factor) Extract the interpretation data 151 that should be monitored in the interpretation data cache 150.

x,x｜Cm,x

Cm,Cm=UT%M,x

N,UT

N,M

N，其中，UT係代表以世界協調時間(UTC)基準到目前時間的總毫秒數(即，UNIX時間戳)轉換為分鐘的態樣；而M係代表本發明之系統允許物聯網設備102設置之最大上傳週期(例如，35天，並以分鐘為單位表示)。經上述之公式找出的因子的集合即為現在時間點將進行監控的物聯網設備102可能具備的上傳週期(以分鐘為單位表示)之集合。藉此方式，本發明之系統可輪流挑選要進行監控的物聯網設備102，以少量資源達到快速執行對海量物聯網設備102之詮釋資料151之判讀。 The lightweight transfer algorithm described in this article is mainly used to calculate the set of IoT devices 102 suitable for performing monitoring services at the current time point. This set is used to interpret the upload period (minutes) in the key field of the data 151. Factor) as the basis for extraction. In this embodiment, the lightweight transfer algorithm can be calculated by the following formula:

x , x｜Cm , x

Cm , Cm=UT%M , x

N , UT

N , M

N, where UT represents the total number of milliseconds (ie, UNIX timestamp) converted to minutes based on Universal Coordinated Time (UTC) reference to the current time; and M represents the system of the present invention allowing the IoT device 102 to set The maximum upload period (for example, 35 days, expressed in minutes). The set of factors found by the above formula is the set of possible upload periods (expressed in minutes) of the IoT device 102 to be monitored at the current time point. In this way, the system of the present invention can select the IoT devices 102 to be monitored in turn, and quickly execute the interpretation of the interpretation data 151 of the massive IoT devices 102 with a small amount of resources.

For example, assuming that the current time point is 11:50:00 on July 10, 2019, and the UNIX timestamp is 1562730600000 milliseconds, the UT of the lightweight transfer algorithm can be calculated as 26045510 minutes. Next, assuming that the system of the present invention allows the maximum upload period of the IoT device 102 to be 35 days, the M of the lightweight transfer algorithm can be calculated to be 50,400 minutes. Putting the above UT and M into the formula to calculate Cm=26045510%50400=39110, and the set of factors x of Cm can be obtained as {1,2,5,10,3911,7822,19555,39110}, It is the set of upload cycles (sub-factors) of the IoT devices 102 that can be monitored at the current point in time.

After the lightweight dispatcher 160 executes the lightweight dispatch algorithm to obtain the set of upload cycles (sub-factors), it extracts the interpretation related to the IoT device 102 to be monitored from the interpretation data cache 150 based on this set Data 151 (that is, the interpretation data 151 whose upload cycle (sub-factor) in the key field matches any one in the set), and produce this batch of interpretation data 151 into a transfer packet and send it to the transfer packet Agent 170.

Now please see the monitoring processor 180 in Figure 1, which is used to receive the transfer packet from the transfer packet agent 170 and correspondingly extract the monitoring message 141 in the monitoring message cache pool 140 (that is, the recording and transfer Send a monitoring message 141) with the same identification code of the Internet of Things device 102 to execute the monitoring service of the Internet of Things device 102. The monitoring processor 180 is a multiplexing component, which continuously and parallelly operates after subscribing to the packet agent 170 to parse multiple forwarded packets to perform monitoring services.

When the monitoring processor 180 executes the monitoring service, it first parses the transfer packet to obtain the identification code of the IoT device 102 (for example, A288), the upload period (for example, 3 minutes), and the cumulative number of data uploads in the upload period (for example, , The information recorded in the interpretation information 151) and the current upload time and initial upload time of the data uploaded by the IoT device 102 (for example, the information recorded in the interpretation information 151). Then, the monitoring processor 180 is based on the parsed information and the correspondingly extracted monitoring information 141 (ie, the monitoring message 141 with the same identification code of the Internet of Things device 102 recorded with the transferred packet) compares the minimum and maximum number of preset upload data in the upload period to determine the status information of the Internet of Things device 102. For example, when it is found that the cumulative number of uploads of data 103 by the IoT device 102 during the upload cycle exceeds the range recorded by the monitoring message 141 (for example, less than the minimum number or greater than the maximum number), the monitoring processor 180 determines the object The networked device 102 is "abnormal", and the monitoring application set module 130 is called to update the status information of the corresponding monitoring message 141 in the monitoring message cache 140 to "abnormal", and it is synchronized with the database/data The change of this status information is recorded in Table 104. Or, for example, when it is found that the interval between the current upload time and the initial upload time of the IoT device 102 uploading data 103 exceeds the upload period, the monitoring processor 180 determines that the IoT device 102 is "offline" and calls The monitoring application set module 130 updates the status information of the corresponding monitoring message 141 in the monitoring message cache 140 to "offline", and synchronously records the change of this status information in the database/table 104. For another example, when the monitoring processor 180 finds that the analysis content of the forwarded packet does not have the aforementioned conditions, it determines that the Internet of Things device 102 is normal and can directly discard the forwarded packet.

After the monitoring processor 180 completes the analysis and judgment of the transfer packet, it deletes the interpretation data 151 corresponding to the transfer packet from the interpretation data cache 150 to avoid repeated use of the same interpretation data 151 in the subsequent round of monitoring services.

Fig. 2 is a flow chart showing the flow of the monitoring service of the IoT device 102 according to the present invention.

At step S210, the IoT device 102 continuously (for example, continuously uploads at a fixed period or frequency) uploads the data 103 to the data processor 120 through the data agent 110.

At step S220, the data processor 120 produces the data 103 into the interpretation data 151 and stores it in the interpretation data cache 150.

In step S230, the lightweight dispatcher 160 executes a lightweight dispatch algorithm to extract the interpretation data 151 according to the upload cycle of the IoT device 102.

In step S240, the interpretation data 151 extracted by the lightweight dispatcher 160 is produced into a dispatch packet and sent to the monitoring processor 180 through the dispatch packet agent 170 for monitoring services.

At step S250, the monitoring processor 180 parses the forwarded packet to determine the status information of the IoT device 102 (for example, online/abnormal/offline).

At step S260, the monitoring processor 180 notifies the monitoring application set module 130 to update the database/data table 104 and monitoring information 141 or notifies the web interface/mobile application 101 to perform abnormal processing when the status information changes or is abnormal Process.

Figure 3 shows the implementation of the monitoring device system and method of the present invention.

In this embodiment, the monitoring application set module is implemented by ams-application (ams-ap) 380, and the administrator can set the IoT device (iot-device) through the IoT web page (iot-web) 311 310 is the device to be monitored (identification code is for example A288). The ams-application program 380 can generate the corresponding format as "key (key) field = identification code: value (value) field = upload cycle (minute-factor) | minimum number of data uploads (min) | maximum data data Upload the number of times (Max)｜Current state information (ActiveState)｜State Last Time" monitoring message 331 to the message cache (ie, redis 330). At the same time, the ams-application 380 records in the database (ie, postgresql 313) that the monitoring setting of the IoT device 310 with the identification code A288 is set to "monitoring" and the status information is online.

In this embodiment, the monitoring message cache and the interpretation data cache are implemented with the same message cache, as shown in redis 330 in Figure 3, and the monitoring message 331 and the interpretation data 332 are respectively The symbols of M and D are used as a distinction.

Continuing in this embodiment, the data broker is implemented by raw data-broker 320 (for example, set by MQTT, Kafka or CoAP, etc.), and the data processor is based on raw data- The consumer (rawdata-consumer) 350 is implemented. In addition, the data uploaded by the IoT device 310 can be obtained from the raw data-agent 320 through the raw data-consumer 350 subscribing to the iot.active.rawdata channel.

Continuing in this embodiment, after the original data-consumer 350 obtains the data, it first checks whether there is a monitoring message 331 with a key field of A288 in the redis 330. If it exists, the new or updated format in redis 330 is "key field = upload period (min-factor) + identification code: value field = current upload time (Data LastTime)｜ The "Period Data Count of the Upload Period (Period Data Count)｜Period Start Time of the Upload Period" is the interpretation data 332. The content of this interpretation data 332 will also be recorded in postgresql 313 by the ams-application 380.

In this embodiment, the lightweight dispatcher is implemented as ams-dispatch (ams-dispatch) 360, for example, and is configured to perform the aforementioned lightweight dispatch. At this time, assuming that the current time point is 09:34:00 on July 9, 2019, the UNIX timestamp is 1562636040000 milliseconds and converted to 26043934 minutes. And suppose the system allows the maximum upload period of the device to be 35 days (that is, 50400 minutes), then the remainder Cm value obtained by the lightweight transfer algorithm is 37534 minutes, and further find out the sub-factor set of this Cm is { 1,2,7,14,49,98,383,766,2681,5362,18767,37534}. At this point, ams-scheduler 360 can go to redis 330 to extract the interpretation data 332 corresponding to this sub-factor set, for example, the key field is {1A287, 2B568,..., 383K566} and other interpretation data 332 sets ( Among them, A287, B568, K566, etc. are all identification codes), which are the ones to be monitored in this round of monitoring services Object. At this time, the ams-scheduler 360 produces the extracted interpretation data 332 into a transfer packet and transmits it to the packet-agent 340.

In this embodiment, the forwarding of the packet broker is implemented as a packet-broker 340 (for example, set by MQTT, Kafka, or CoAP), and is used to receive the forwarding of ams-scheduler 360 Packet. The monitoring processor is implemented by ams-consumer (ams-consumer) 370, which can subscribe to the iot-active.dispatch channel to obtain the transfer packet from the packet-agent 340, analyze the transfer packet, and extract the corresponding The monitoring message 331 with the same identification code of the packet is forwarded, and the packet is inspected. In this case, suppose it is checked that the cumulative number of data uploads during the upload period in the transfer packet content exceeds the range set by the monitoring message 331, call the ams-application 380 and notify the IoT device 310 that it is "abnormal" ; If it is checked that the current upload time and the initial upload time of the transferred package content exceed the upload period (for example, the content of an interpretation data is "2F322: 1562635875000｜2｜1562635745000", and 1562635875000>1562635745000+2 * 60* 1000), then Call ams-app 380 and notify this IoT device 310 that it is "offline"; if the content of the transferred packet is checked, it indicates an abnormal or offline condition (for example, the content of an interpretation data is "2B566: 1562635875000｜2｜156263584000 ", and 1562635875000<=156263584000+2 * 60* 1000 and the cumulative number of data uploads does not exceed the monitoring message 331 setting range), the IoT device 310 is in the normal "online" state and the transfer can be ignored Packet.

In addition, the ams-app 380 records any abnormal or offline status information of the IoT device 310 from the ams-consumer 370 in postgresql 313. In addition, in this embodiment, the administrator can use the IoT API 312 to call the ams-application 380 to retrieve the historical record of the status information of the IoT device 310 stored in the postgresql 313, for example, in the form of a report. Alternatively, the administrator can also set the Internet of Things API 312 to periodically call the ams-application 380 and query The postgresql 313 stores the historical record of the status information of the IoT device 310, and sends an alarm message (for example, MQTT/SMS/EMAIL/LINE message notification, etc.) or activates the alarm device when an abnormality is found.

In summary, the monitoring device system and method of the present invention uses multiplexed monitoring processors, data processors, and monitoring application set modules to simultaneously execute the settings of multiple IoT devices and the processing of data data. And the monitoring service of the Internet of Things equipment and other operations, and only need to judge the status information of the Internet of Things equipment based on the period and frequency of the data uploaded by the Internet of Things equipment, so as long as it is the Internet of Things that can upload data to the Internet of Things platform All devices can be monitored without being restricted by the setting restrictions of IoT devices. In addition, by performing lightweight transfers to select IoT devices suitable for monitoring by the monitored application set module at different points in time, it is possible to monitor a large number of IoT device data with only a small amount of resources, thereby greatly improving the efficiency of monitoring services .

The above-mentioned embodiments are only illustrative of the effects of the present case, and are not used to limit the present case. Anyone familiar with this technique can modify and change the above-mentioned implementation aspects without departing from the spirit and scope of the present case. Therefore, the scope of protection of the rights in this case should be listed in the scope of patent application described later.

101: Web interface/mobile application

102: IoT devices

103: Data Sheet

104: database/table

110: Data Agent

120: data processor

130: Monitoring application set module

140: Monitor message cache

141: Monitoring message

150: Interpretation data cache

151: Interpretation of Data

160: Lightweight Dispatcher

170: Assign a packet agent

180: monitor processor

Claims (12)

A system for monitoring equipment includes: a monitoring application set module, which is used to provide management services for the Internet of Things equipment and maintain the monitoring information of the Internet of Things equipment; a data processor is used to upload data according to the Internet of Things equipment Generate interpretive data; a lightweight forwarder, which is used to extract the interpretive data to generate a forwarded packet; and a monitoring processor, which is used to parse the forwarded packet and extract the monitoring information to perform monitoring of the IoT device Service, where the content of the monitoring message includes the identification code of the Internet of Things device, the upload period, the frequency range of the preset upload data in the upload period, the status information and the last change time of the status information, and among them, the The monitoring processor notifies the monitoring application set module of the IoT device when the monitoring service determines that the cumulative number of data uploads of the IoT device in the upload period exceeds the frequency range of the preset upload data data The status information is abnormal, and the monitoring processor determines that the interval between the current upload time of the data uploaded by the Internet of Things device and the initial upload time of the uploaded data in the upload period exceeds the upload period when the monitoring service determines that the monitoring processor reports to the monitoring The application set module notifies the status information of the Internet of Things device to be offline. For example, the system described in item 1 of the scope of patent application, wherein the management service of the IoT device includes: maintaining the monitoring settings of the IoT device; maintaining the status information of the IoT device; and maintaining the history of the status information Records, Among them, the monitoring setting is used to set whether the IoT device is a monitoring object, the status information is used to record the online, abnormal, and offline status of the IoT device, and the historical record is used to record the status information during the monitoring period The monitoring setting, the status information and the history record are marked by the identification code of the Internet of Things device and recorded in the database by the monitoring application set module. For example, the system described in item 2 of the scope of patent application, wherein, after the monitoring setting of the Internet of Things device is set as the monitoring target, the monitoring application set module generates the monitoring message, and the monitoring setting is set to non-monitoring After the object, the monitoring application set module deletes the monitoring message. Such as the system described in item 2 of the scope of patent application, wherein the content of the interpretation data includes the upload period of the Internet of Things device, the identification code, the current upload time of the uploaded data, and the upload data during the upload period The cumulative number of times and the initial upload time of the uploaded data in the upload cycle. For example, in the system described in item 4 of the scope of patent application, the method for the lightweight redirector to extract the interpretive data to generate a transfer packet includes the following steps: perform a lightweight transfer to calculate the object to be monitored by the monitoring service The x set of the upload period of the networked device; extract the interpretive data that contains the upload period that matches any of the x sets; and produce the extracted interpretive data into the transfer packet, where, The lightweight conversion faction is based on the formula

x , x|Cm , x

Cm , Cm=UT%M , x

N , UT

N , M

N calculates the set of x, where UT represents the total number of minutes from the current time based on the coordinated universal time, and M represents the maximum upload period allowed to be set by the IoT device. For example, the system described in item 2 of the scope of patent application, wherein the status information included in the monitoring message, the status information in the database, and the history record are determined by the monitoring application set module based on the monitoring service's judgment result renew. For example, the system described in item 2 of the scope of patent application, wherein the management service includes: storing the content of the interpretation data generated by the data processor in the database; providing external services to call the monitoring application set module to adjust Read the monitoring setting, the status information, the historical record and the content of the interpretation data in the database; and when the monitoring setting of the IoT device is set as a non-monitoring object, delete the identification code in the database Corresponding to the monitoring setting, the status information, the historical record and the content of the interpretation data. A method for monitoring equipment includes: instructing a data processor to receive data uploaded by an Internet of Things device; instructing the data processor to confirm that the monitoring information of the Internet of Things device is stored in the monitoring message cache; and instructing the data processor to The data production system is the interpretation data and stored in the interpretation data cache; the lightweight transfer device is made to perform lightweight transfer to extract the interpretation data; the lightweight transfer device is made to produce the interpretation data into a transfer packet ; Make the monitoring processor receive the transfer packet and correspondingly extract the monitoring message of the IoT device; make the monitoring processor analyze the interpretation data and the content of the monitoring message; and make the monitoring processor determine the content of the IoT device Status information, Wherein, the content of the monitoring message includes the identification code of the Internet of Things device, the upload period, the frequency range of the preset upload data in the upload period, the status information and the last change time of the status information, and among them, the monitoring The method for the processor to determine the status information of the Internet of Things device includes: the monitoring processor determines when the cumulative number of data uploads of the Internet of Things device in the upload period exceeds the frequency range of the preset upload data The status information of the Internet of Things device is abnormal; or the monitoring processor determines that the interval between the current upload time of the uploaded data of the Internet of Things device and the initial upload time of the uploaded data in the upload period exceeds the upload period , To determine that the status information of the Internet of Things device is offline. Such as the method described in item 8 of the scope of patent application, wherein after the IoT device is set as a monitoring object, the monitoring application set module generates the monitoring message, and after the IoT device is set as a non-monitoring object, the The monitoring application module deletes the monitoring message. Such as the method described in item 8 of the scope of patent application, wherein the content of the interpretation data includes the upload period of the Internet of Things device, the identification code, the current upload time of the uploaded data, and the data uploaded during the upload period The cumulative number of times and the initial upload time of the uploaded data in the upload cycle. For example, the method described in item 10 of the scope of patent application, wherein the step of causing the lightweight dispatcher to perform lightweight dispatch to extract the interpretive data includes the following sub-steps: making the lightweight dispatcher perform the lightweight dispatch Transfer to calculate the set of x of the upload period of the IoT device to be monitored; and make the lightweight transferr extract the interpretive data that contains the upload period that matches any one of the set of x, where , The lightweight conversion faction is based on the formula

x , x|Cm , x

Cm , Cm=UT%M , x

N , UT

N , M

N calculates the set of x, where UT represents the total number of minutes from the current time based on UTC, and M represents the maximum upload period allowed to be set by the IoT device. For example, the method described in item 8 of the scope of patent application further includes: ordering the monitoring application set module to record the result of the monitoring processor determining the status information of the Internet of Things device as a history record of the status information, wherein the history The record is stored in the database; the external service is made to call the monitoring application set module to retrieve the historical record in the database; and the external service is made to execute the abnormal handling operation of the IoT device based on the historical record.

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