WO2016112642A1 - 一种智能设备的监控方法和装置 - Google Patents

一种智能设备的监控方法和装置 Download PDF

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Publication number
WO2016112642A1
WO2016112642A1 PCT/CN2015/082105 CN2015082105W WO2016112642A1 WO 2016112642 A1 WO2016112642 A1 WO 2016112642A1 CN 2015082105 W CN2015082105 W CN 2015082105W WO 2016112642 A1 WO2016112642 A1 WO 2016112642A1
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Prior art keywords
smart device
state
identifier
status data
time
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PCT/CN2015/082105
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English (en)
French (fr)
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张泽
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张泽
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Publication of WO2016112642A1 publication Critical patent/WO2016112642A1/zh

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/048Monitoring; Safety

Definitions

  • the present invention relates to the field of remote monitoring, and in particular to a method and device for monitoring a smart device.
  • Existing smart devices such as IoT smart home devices, more specifically, include smart sockets, smart home appliances and the like.
  • the smart device When the smart device is online, it can respond to remote control commands and bring great convenience to people's lives.
  • the electronic product is not absolutely reliable.
  • the internal device of the smart device When the internal device of the smart device is faulty or external factors cause the smart device to be accidentally dropped, the smart device is no longer remotely controllable. Since the smart device does not provide the function of online state monitoring, the user is caused. The state of the smart device cannot be found in time; it is often found that the smart device is abnormal or unavailable when the user needs to use it, thereby affecting the normal use of the user.
  • the smart devices of existing hotels are mostly connected to the hotel LAN by means of wireless networking.
  • the front desk staff remotely accesses, turns on or off the smart device through the hotel LAN, and sets the unlocking password or unlocking the card ID of the smart device.
  • Etc. But the existing smart devices do not provide the status monitoring function of whether the smart device is online.
  • the hotel management personnel cannot obtain relevant information and process it in time. Affect guests.
  • the prior art does not provide a state detection function for whether the smart device is online, nor does it provide an analysis and processing of the state of the smart device to alert the smart device of possible problems.
  • the main purpose of the present invention is to provide a monitoring method and device for an intelligent device, which can solve the problem that the working state of the smart device cannot be monitored in real time in the prior art.
  • a monitoring method of a smart device includes: receiving status data and an identifier sent by the smart device, wherein the identifier is an identifier of the smart device that sends the status data; and the time when the status data is received; and the identifier and status data according to the smart device. The time when the status data is received, and the working status of the smart device is determined.
  • a monitoring apparatus of a smart device includes: a receiving module, receiving status data and an identifier sent by the smart device, wherein the identifier is an identifier of the smart device that sends the status data; and an acquiring module, configured to acquire a time when the status data is received;
  • the judging module is configured to judge the working state of the smart device according to the identifier of the smart device, the status data, and the time when the state data is received.
  • the state data and the identifier sent by the received smart device are processed to determine the current working state of the smart device, which solves the problem that the working state of the smart device cannot be monitored in real time in the prior art, and the real-time monitoring smart device is achieved. Real-time judgment of whether the smart device is online and the effect of warning of possible malfunction of the smart device.
  • FIG. 1 is a flowchart of a method of monitoring a smart device according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of a monitoring device of a smart device according to an embodiment of the present invention.
  • the smart device involved in all embodiments of the present invention is capable of acquiring its own state and transmitting status data and self-identification data through the communication interface of the device itself, and can receive data through the communication interface and perform corresponding operations on the data.
  • Devices for example, the smart devices of the present invention include, but are not limited to, smart door locks, smart sockets, smart appliances, air purifiers, and the like.
  • the server is of an unlimited type, and may be a centralized server, a distributed server, a cloud server, or the like.
  • the embodiment of the invention provides a monitoring method of a smart device.
  • FIG. 1 is a flow chart of a method of monitoring a smart device according to an embodiment of the present invention. As shown in FIG. 1 , the monitoring method of the smart device includes the following steps:
  • Step S102 Receive status data and an identifier sent by the smart device, where the identifier is an identifier of the smart device that sends the status data.
  • the smart device actively sends its own state data and identifier to the server.
  • the identifier is the ID of the smart device
  • the state data represents the current state of the smart device.
  • the state data is a smart device.
  • the types of the smart devices are different, which may result in a corresponding increase or decrease in the type of the state data.
  • the state data may include the smart in addition to the above-mentioned types.
  • the required state can be added to the working state, and the selected working state is actively performed by the smart device. report.
  • the smart device reads its own state from the inside, converts it into state data, and sends its own state data and identity to the server through the data format agreed with the server.
  • Step S104 acquiring a time when the status data is received
  • the digital signature technology is used, that is, the smart device sends the status data and the identifier includes the timestamp of the signature, and then the server filters out the timestamp from the received data and converts it into time.
  • Information optionally, the time when the status data is received may also be the system time when the server actually receives the status data and the identifier; as long as there is an objective sequence of characters, the status data and the identifier sent by the smart device are received. Time is all right.
  • Step S106 Determine the working state of the smart device according to the identifier of the smart device, the status data, and the time when the status data is received.
  • the working state includes at least two groups of states: the online state and the offline state are corresponding one set of states, and the normal state and the abnormal state are corresponding another set of states.
  • the category of the status data received in step S102 and according to the threshold value of the different status data categories set in advance, it is determined whether the working status of the smart device is normal or abnormal; according to the status data received in step S102 and in step S104 Obtain the time when the status data is received, and determine whether the smart device is online or offline.
  • the two working states are the most common working state categories.
  • the types of working states are correspondingly increased or further refined; for example, when the smart device is a smart door lock, the abnormal working state may also include The remaining power is abnormal, the duration of the continuous unlocking is abnormal, and the number of incorrect unlocking times is abnormal.
  • the abnormal working state may also include: abnormal charging current, abnormal power consumption, etc.; when the smart device is a smart air conditioner, the abnormality
  • the working state may further include: setting an abnormal temperature difference, an abnormality of continuous booting time, etc.; when the smart device is a smart air purifier, the abnormal working state may further include: abnormal indoor air quality.
  • step S106 when the working state includes at least an online state and an offline state, step S106 includes:
  • Step S202 The first trigger signal is received, where the first trigger signal includes at least one of the following generation manners: the first trigger signal is generated by the user manually clicking the trigger control, and the first trigger signal is generated by using a preset transmission frequency;
  • the generating manner of the first trigger signal includes: mode 1, the first trigger signal is generated by the user manually clicking the trigger control, for example, the user clicks the online state detection button provided in the server.
  • the first trigger signal is generated by the preset transmission frequency f 4 as a periodic signal having a set frequency.
  • the frequency f 4 of the first trigger signal in the second mode is greater than the frequency f 3 of the smart device sending state data to ensure that the server can detect the online or offline state of the smart device in time; and the frequency f of the first trigger signal in the second mode The larger the 4 is, the smaller the time delay for judging whether the smart device is abnormal or not, and the real-time performance of the judgment result is better.
  • Step S204 Acquire a preset time interval threshold.
  • the preset time interval threshold is acquired.
  • the preset time interval threshold represents the length of time, for example, 50 s.
  • the preset time interval threshold ranges from 10 to 60 s.
  • the preset time interval threshold does not have to be the same as the period in which the smart device sends status data.
  • Step S206 calculating a time difference between the time when the state data corresponding to the identifier is received last time and the current time;
  • the preset time interval threshold since the preset time interval threshold does not have to be the same as the period in which the smart device sends the status data, preferably, the preset time interval threshold is slightly larger than the period in which the smart device transmits the status data.
  • the server receives the status data sent by the smart device multiple times, the server filters out the time when the status data was last received from the received data, and calculates the difference between the time when the status data was last received and the current time.
  • Step S208 When the time difference is greater than the preset time interval threshold, the smart device corresponding to the identifier is determined to be in an offline state; and when the time difference is less than or equal to the preset time interval threshold, the smart device corresponding to the identifier is determined to be in an online state.
  • the online state and the offline state are states indicating whether the current device can be connected to the server, and the smart device sends a frame state data to the server every predetermined time interval threshold, when the server exceeds the reservation.
  • the time interval threshold has not received the status data, it is determined that the smart device does not currently have an online connection with the server, that is, the smart device is offline.
  • the reason for causing the smart device to go offline may be the failure of the smart device itself or the failure of the wired or wireless communication link between the smart device and the server.
  • the technical solution provided in this embodiment monitors the time when the smart device sends the status data, and implements the information that the smart device is not received after the preset time interval threshold is exceeded, that is, the smart device is judged. Offline effect.
  • step S106 includes:
  • Step S302a Receive a trigger signal generated after determining that the smart device is in an online state
  • a trigger signal is generated; that is, only when the smart device is determined to be online, the normal or abnormal state of the smart device is further determined.
  • the trigger signal may be generated immediately after determining that the smart device is online, or may be judged
  • the trigger signal is generated after the preset time period after the smart device is disconnected. In the case that the smart device remains online, the signal period of the trigger signal is equivalent to the signal period of the first trigger signal.
  • Step S304a Acquire a security threshold range of status data of the smart device set in advance
  • the security threshold range may be a range determined by a closed interval, for example, 5% to 20%, and the same type of status data falling into the closed area is regarded as normal status data;
  • the threshold range may also be an open range determined by a specific point value and a magnitude relationship with a specific point value. For example, if the security threshold range is set to be greater than 10, the same type of status data greater than 10 is considered to be normal status data.
  • Step S306a Whether the comparison status data exceeds the security threshold range, and when the status data exceeds the security threshold range, it is determined that the smart device is in an abnormal state.
  • the security threshold range determines the covered area, which is an area where the smart device status data is normal.
  • the status data does not exceed the security threshold range, it is determined that the smart device status is normal, and when the status data exceeds the security threshold range, it is determined that the smart device status is abnormal.
  • step S302a to step S306a when it is determined that the smart device is in the online state, it is further determined whether the working state of the smart device is a normal state or an abnormal state.
  • the abnormal state here means that the current device can be connected to the server normally, but the state of the device itself is in an abnormal online state, and the smart device may occur in a foreseeable time or foreseeable situation. malfunction.
  • the normal state means that the state data of the device is normal, and a foreseeable failure does not occur temporarily. Therefore, based on the classification of the working state of the smart device, the smart device may be in an online normal state, an online abnormal state, and an offline state. Understanding the online and offline status of smart devices can help to quickly and clearly locate offline smart devices and facilitate management for maintenance. Knowing whether smart devices are in an abnormal state can help you understand the problems that may occur in smart devices in advance. Managers perform maintenance before the smart device goes offline.
  • step S106 when the working state further includes a normal state and an abnormal state, step S106 includes:
  • Step S302b Receive a second trigger signal, where the second trigger signal includes at least one of the following generation modes: generating a second trigger signal by manually clicking a trigger control by the user, generating a second trigger signal by using a preset transmission frequency, and Receiving, by the state data actively sent by the smart device, generating a second trigger signal;
  • the generating manner of the second trigger signal includes: mode 1, the second trigger signal is generated by the user manually clicking the trigger control, for example, clicking the abnormality detecting button provided in the server for the user; In the second manner, the second trigger signal is generated by the preset transmission frequency f 2 as a periodic signal having a set frequency.
  • the frequency f 2 of the trigger signal in the second mode is greater than the frequency f 1 of the smart device sending state data to ensure that the server can detect whether the smart device is in an abnormal state in time; the greater the frequency f 2 of the second trigger signal in the second mode
  • the time delay for judging whether the smart device is abnormal is smaller, and the real-time performance of the judgment result is better.
  • the third method generating a second trigger signal by receiving the state data actively sent by the smart device, and sending the smart device to the server once received by the smart device.
  • the second trigger signal generated immediately after the status data, that is, the server one Once the new status data is received, it immediately determines whether the received status data is normal.
  • the generating process of the second trigger signal of the first mode to the third mode does not depend on whether the smart device determines whether the online device is online, that is, the normal or abnormal state determination based on the second trigger signal may be independent of the first A smart device that triggers a signal determines whether it is online or offline.
  • Step S304b Acquire a security threshold range of status data of the smart device set in advance
  • the security threshold range may be a range determined by a closed interval, for example, 5% to 20%, and the same type of status data falling into the closed area is regarded as normal status data;
  • the threshold range may also be an open range determined by a specific point value and a magnitude relationship with a specific point value. For example, if the security threshold range is set to be greater than 10, the same type of status data greater than 10 is considered to be normal status data.
  • Step S306b Whether the comparison status data exceeds the security threshold range, and when the status data exceeds the security threshold range, it is determined that the smart device is in an abnormal state.
  • the security threshold range determines the covered area, which is an area where the smart device status data is normal.
  • the status data does not exceed the security threshold range, it is determined that the smart device status is normal, and when the status data exceeds the security threshold range, it is determined that the smart device status is abnormal.
  • step S302b to step S306b it is determined whether the working state of the smart device is a normal state or an abnormal state.
  • the abnormal state here means that the current device can be connected to the server normally, but the state of the device itself is in an abnormal online state, and the smart device may occur in a foreseeable time or foreseeable situation. malfunction.
  • the normal state means that the state data of the device is normal, and a foreseeable failure does not occur temporarily. Therefore, the online state and the offline state are mutually exclusive, and the normal state and the abnormal state are mutually exclusive, that is, the smart device is necessarily in a state of one of an online state and an offline state, one of a normal state and an abnormal state.
  • the online offline state and the normal abnormal state are independent of each other. Therefore, based on the classification of the working state of the smart device, the smart device may be in an online normal state, an online abnormal state, an offline normal state, and an offline abnormal state. Further, the situation of the smart device may be determined according to a normal abnormal state when the smart device is offline. For example, if it is determined that the smart device is in an offline normal state, it indicates that the state data of the detected smart device is when the smart device is about to be offline. Within the security threshold, the offline cause of the smart device is more likely to be an external cause such as a communication link failure or an unexpected unexpected cause.
  • the method further includes:
  • Step S210 The server continuously detects the working state of the smart device, and when detecting that the working state of the smart device changes, the server notifies the management device or the management personnel.
  • the working state of the smart device changes including the working state of the smart device changes from the online state to the offline state, and also includes the working state of the smart device being changed from the offline state to the online state.
  • the server when detecting that the working state of the smart device changes from the online state to the offline state, the server determines the online state of the smart device during the last detection, but the working state of the smart device changes to the offline state during the current detection; When the working status of the smart device changes from the offline state to the online state, the server determines that the smart device is offline during the last detection, but the working state of the smart device changes to the online state during the current detection.
  • step S210 is also an online and remote joint maintenance method.
  • the method further includes:
  • Step S212 In the case that the smart device is in the offline state, the offline time of the smart device in the offline state is calculated according to the time difference between the time when the state data corresponding to the identifier is received last time and the current time; Identification of smart devices with offline time;
  • the server sends the identifier of the smart device in the offline state and the offline time to the management device;
  • the management device is a management terminal that manages the smart device, and the terminal can receive and store the information sent by the server.
  • the server determines that the smart device is offline, it sends a warning message to the management device, and sends the identification and offline time of the offline smart device to the management device to provide guidance for the administrator or maintenance personnel.
  • the administrator can know the online offline status of the smart device in real time.
  • Step S214 In the case that it is determined that the smart device is in a non-offline state, the feedback information is sent to the smart device, wherein when the feedback information does not include an operation instruction or an identifier, the smart device does not perform an operation, and when the feedback information includes an operation instruction and When identifying, the corresponding smart device is identified to execute an operation instruction.
  • the server may send the routine feedback information to the smart device to identify the status data sent by the smart device; or send the operation command and the identifier to the smart device.
  • the operation instruction may be an operation instruction sent by the other authorized control device through the server; or may be an operation instruction according to the status data of the smart device and the timestamp of receiving the status data, and the response instruction automatically returned by the server.
  • the server stores a collection list, and stores a correspondence between the state data of the smart device and the state data to be returned. For example, when the remaining capacity of the smart device is less than 10% and the device is used for more than 12 hours, an instruction to reset the device authority key is returned.
  • the non-offline state is the online state; optionally, based on the classification of the working state of the smart device, the smart device may be in an online normal state, an online abnormal state, an offline normal state, an offline abnormal state, and thus
  • the non-offline state may include: an online normal state and an online abnormal state.
  • the method for identifying the corresponding smart device to execute the operation instruction includes:
  • Step S402 The smart device receives the feedback information
  • Step S404 When the operation information and the identifier are included in the feedback information, the identifier carried in the operation instruction is read,
  • the operation command is a control command that can be recognized by the smart device, and the control commands that can be recognized by the different types of smart devices are also different.
  • the operation command may include: an unlock command, an unlock command, resetting the door lock password, resetting the unlock door card ID, setting an IP address of the device, setting a communication port of the device, and the like;
  • the operation instruction may include: a socket remote switch command, a socket power consumption monitoring command, an outlet timer switch command, an automatic power off command exceeding a set power, a control password setting, and a modification command;
  • the operation instruction may include: adjusting a temperature command, a remote switch command, a time switch command, and the like; and, for example, when the smart device is a smart air cleaner, the operation instruction may include: adjusting the wind speed command , switch commands, etc.
  • Step S406 Comparing the identifier carried in the operation instruction with the identifier of the smart device.
  • the smart device performs an operation corresponding to the operation instruction.
  • step S402 to step S406 realize remote control of the smart device by the server by determining whether the operation instruction fed back by the server is sent to the smart device and executing an instruction to confirm sending to the smart device.
  • the method for the smart device to send the status data in the step S102 includes:
  • Step S502 Receive a third trigger signal, where the third trigger signal is a third trigger signal generated by a preset transmission frequency;
  • the frequency of the third trigger signal is the frequency at which the smart device sends the status data to the server.
  • Step S504 Acquire a current state of the smart device, and generate state data.
  • step S504 after receiving the third trigger signal, performing the above operation of step S504, the smart device or scanning its own hardware, or reading the state data stored in the device memory, and converting the current state of the device to the actual state as Status data.
  • Step S506 Send status data.
  • steps S502 to S506 implement the effect that the smart device periodically sends status data to the server.
  • step S402 to step S406, or step S502 to step S506 if the smart device receives an externally input operation instruction, the execution of step S402 to step S406, or any of steps S502 to S506 is interrupted.
  • the externally input operation instruction is an operation instruction directly received by the smart device locally, and corresponds to an operation instruction sent by the server remotely.
  • the most typical type of externally input operation command that is, the externally input control command generated by the user directly operating the smart device, the operation command of the external input is different for different smart devices, taking the smart door lock as an example.
  • the external input operation instructions include, but are not limited to, input password unlocking, card unlocking, anti-locking, etc.; taking the smart socket as an example, the external input operation instructions include but are not limited to: pressing a switch button, etc.; taking a smart air conditioner as an example, external
  • the input operation commands include, but are not limited to, pressing the switch button, raising the set temperature, lowering the set temperature, timing, etc., corresponding to the control functions of the intelligent air conditioner remote controller; taking the intelligent air purifier as an example, external input
  • the operational commands include, but are not limited to, pressing a switch button, setting an air purge rate, and the like.
  • the smart device in the process of the smart device performing step S504, that is, in the process that the smart device is scanning its current state and generating the data state, the smart device enters the interrupt when the smart device receives the operation action command that the user directly operates the smart device. Mode; the smart device interrupts and records the specific operation that is being performed in step S504 in the currently executed step, and executes the operation command specified by the user, after executing the command specified by the user, When the user does not receive other operation commands from the user, the smart device generates user operation data according to the executed operation command specified by the user, and sends the data to the server. After the transmission is completed, the smart device exits the interrupt mode and continues to execute before the execution of the interrupt. A step of.
  • the monitoring method of the smart device further includes: step S105: storing the identifier of the smart device, the status data, the time when the status data is received, and the correspondence between the identification and the status data and the time when the status data is received. relationship.
  • the identifier, the status data, the time when the status data is received, and the association relationship between the foregoing are stored by establishing a monitoring list or linking the database.
  • the historical state data of the smart device is recorded in the server, which is convenient for the administrator to perform maintenance, and can also provide data basis for subsequent big data processing.
  • the method provided by the embodiment of the present application may further include:
  • step S209 after the working state changes, the server sends an alarm message.
  • the method provided by the embodiment of the present application may further include:
  • step S1011 the working state of the smart device is read.
  • Step S1013 generating state data having a preset data format according to the working state.
  • the intelligent device monitoring method provided in this embodiment is further described below by taking the smart device as a smart lock as an example.
  • the monitoring method of the smart lock of this embodiment may be a preferred embodiment of the monitoring method of the smart device of the above embodiment.
  • the monitoring method of the smart lock includes the following steps:
  • Step A The smart lock actively sends a frame status data and an identifier to the server according to its own state according to a certain time interval.
  • the status data sent includes: device type, remaining power of the device, and device communication type;
  • the smart lock interrupts the currently executing step, performs a user operation, and transmits the user operation data to the server, performs the user operation and performs the user. After the operational data is sent to the server, the smart lock resumes the step of performing the interrupt.
  • the operation of the smart lock directly by the user operation includes: remote unlocking, door card unlocking, password unlocking, key unlocking, and anti-locking;
  • the user operation data includes: unlocking mode, unlocking time, password input error alarm, anti-smashing alarm, anti-locking data, using the wrong door card to open the door alarm, etc., wherein the unlocking mode data also includes remote unlocking data, key unlocking data and password unlocking data.
  • Step B The server sets an abnormal state check frequency f 5 , an online offline state check frequency f 6 , determines a smart lock offline time interval threshold t 1 , and a smart lock state data security threshold range; wherein, after setting the frequency the server according to a set frequency f 5 receives the abnormal state checking intelligent lock the trigger signal, the trigger receiving signal line offline inspection according to a set frequency f 6.
  • determining that the smart lock offline interval threshold t 1 is 10 to 60 s; and the remaining power threshold is ranging from 3% to 15%.
  • Step C The server receives the status data and the identifier sent by the smart lock, and acquires the time when the status data is received;
  • step D the server establishes a monitoring list, stores the status data sent by the smart lock, the identifier, the time when the status data is received, and the association relationship between the foregoing three.
  • step E the server receives the line offline state check trigger signal of the f 6 frequency, and obtains a preset smart lock offline time interval threshold t 1 , and filters out the latest time associated with the identifier ID for each identifier from the monitoring list; Calculating the time difference between the latest time and the current time; when the time difference is greater than the preset time interval threshold, determining that the smart lock corresponding to the identifier ID associated with the latest time is in an offline state, and when the time difference is less than or equal to the preset time interval threshold, determining and The smart lock corresponding to the ID ID associated with the latest time is online.
  • the server records the identification, the time of the disconnection, and sends the identification and drop time to the hotel management system or the smart lock management system, and notifies the hotel management personnel or the door lock maintenance personnel for processing.
  • Step F The server receives the status of a frequency f 5 intelligent lock trigger check an abnormal state, the safety threshold acquisition range set in advance intelligent lock state of data from the monitoring list for each of the identified, selected data corresponding to the latest time stamp And determining whether the status data is in a security threshold range, and if the status data exceeds a security threshold range, determining that the smart lock is in an abnormal state.
  • the server determines that the device is abnormal, it issues an alert to the management device.
  • the alert can be sent by sending a short message to the hotel manager.
  • Step G The server sends feedback information to the smart lock in a state that the smart lock is not offline, and the feedback information may be routine feedback information indicating the received status data, or may be control information carrying the operation instruction, where the operation instruction Including: unlock command, unlock command, reset door lock password, reset lock door card ID, set device IP address, set device communication port;
  • Step H The smart lock receives the feedback information.
  • the feedback information includes the operation instruction and the identifier
  • the identifier carried in the operation instruction is read, and the identifier carried in the operation instruction is compared with the identifier of the smart lock.
  • the smart lock performs an operation corresponding to the operation instruction.
  • the smart lock interrupts the currently executing step, performs a user operation, and sends the user operation data to the server, and the execution is completed. After the user operates and sends the user operation data to the server, the smart lock resumes the step of performing the interruption.
  • the smart device monitoring method provided in this embodiment is further described below by taking a smart air conditioner as an example.
  • the monitoring method of the smart air conditioner of this embodiment may be an optional implementation manner of the monitoring method of the smart device of the above embodiment.
  • the monitoring method of the intelligent air conditioner includes the following steps:
  • Step a the smart air conditioner actively sends a frame status data and an identifier to the server at a specific frequency;
  • the status data includes a smart air conditioner on/off state, a smart air conditioner set temperature, a smart air conditioner current temperature, a smart air conditioner use time, and the like;
  • Step b the server sets an abnormal state check frequency f 5 , an online offline state check frequency f 6 , determines a smart lock offline time interval threshold t 1 , and a security threshold range of the smart air conditioner state data;
  • Step c The server receives the status data and the identifier sent by the smart air conditioner, and acquires the time when the status data is received;
  • Step d the server stores the received status data, the identifier, and the time when the status data is received in the database;
  • Step e after receiving the line offline state check trigger signal of the f 6 frequency, the server first obtains a preset smart air conditioner offline time interval threshold t 1 , and then filters out the received status data corresponding to each identifier from the data. the latest time, calculates the latest time and the current time difference; when the time difference is greater than t 1, it is determined that the identification corresponding intelligent air conditioning off, when the time difference is less than or equal to t 1, determination automatic climate line corresponding to the ID.
  • the server records the identifier and the offline time, and sends the identifier and the offline time to the management system, and notifies the management personnel for processing.
  • the online and offline status does not correspond to the on/off state of the smart air conditioner.
  • the server determines that it is online as long as it is connected to the power source and can send its own status data to the server;
  • the online and offline states correspond to the on/off status of the smart air conditioner. Only when the smart air conditioner is running, the state data is allowed to be sent to the server. At this time, only when the smart air conditioner is turned on and can be connected When the letter was sent, the server determined that it was online.
  • the online and offline states do not correspond to the on/off state of the smart air conditioner.
  • Step f The server receives the smart air conditioner abnormal state check trigger signal of the f 5 frequency, and obtains a safety threshold range of the preset smart air conditioner state data.
  • the security threshold range has two, one of which is a continuous running time threshold, and The second is the set temperature and the current room temperature maximum temperature difference threshold;
  • the status data corresponding to the latest timestamp is filtered, and it is determined whether the continuous running time threshold is exceeded for the received usage time; and the difference is calculated for the received current indoor temperature and the current smart air conditioning set temperature. And determining whether the difference is within the maximum temperature difference threshold range; if any of the above two determinations exceeds the safety threshold range, it is determined that the smart air conditioner is in an abnormal state.
  • Step g When the server determines that the air conditioner is online but not abnormal, the feedback information that does not carry the operation instruction is sent to the smart air conditioner, and the feedback information is routine feedback information indicating the received status data.
  • the server determines that the device is abnormal sending a feedback message carrying the operation instruction to the smart air conditioner, for example, issuing an instruction to turn off the air conditioner;
  • Step h The smart air conditioner receives the feedback information of the operation command without carrying the operation, and does not perform the operation; when receiving the feedback information carrying the operation instruction, the identifier carried in the operation instruction is read, and the identifier carried in the operation instruction and the intelligent air conditioner are The identifiers are compared. When the identifier carried in the operation command is the same as the identifier of the smart air conditioner, the smart air conditioner performs an operation corresponding to the operation instruction.
  • the smart air conditioner interrupts the currently executing step when the user directly receives an operation action command for directly operating the smart air conditioner, performs a user operation, and sends the user operation data to the smart air conditioner.
  • the server after performing the user operation and transmitting the user operation data to the server, the smart air conditioner resumes the step of performing the interruption.
  • the monitoring method provided by the present application can be applied to any of the present applications after adaptively adjusting state data, threshold data, and operation instructions.
  • the embodiment of the invention further provides a monitoring device for the smart device.
  • the monitoring device of the smart device in the embodiment of the present invention may be used to perform the monitoring method of the smart device provided by the embodiment of the present invention, and the monitoring method of the smart device in the embodiment of the present invention may also be implemented by using the embodiment of the present invention.
  • the monitoring device of the smart device is provided for execution.
  • FIG. 2 is a schematic diagram of a monitoring device of a smart device according to an embodiment of the present invention. As shown in Figure 2, it includes:
  • the receiving module 10 is configured to receive status data and an identifier sent by the smart device, where the identifier is an identifier of the smart device that sends the status data.
  • the obtaining module 30 is configured to acquire a time when the status data is received
  • the determining module 50 is configured to determine the working state of the smart device according to the identifier of the smart device, the status data, and the time when the state data is received.
  • the determining module 50 further includes:
  • the first determining unit 51 is configured to determine whether the smart device is in an online state or an offline state
  • the second determining unit 52 is configured to determine whether the smart device is in a normal state or an abnormal state
  • the first determining unit 51 further includes:
  • the first receiving sub-unit is configured to receive the first triggering signal, where the first triggering signal includes at least one of the following generating modes: generating a trigger signal by manually clicking a trigger control by the user, and generating a trigger signal by using a preset sending frequency;
  • a first acquiring subunit configured to acquire a preset time interval threshold
  • a first calculating sub-unit configured to calculate a time difference between a time when the state data corresponding to the identifier is received last time and the current time
  • a first determining sub-unit configured to: when the time difference is greater than the preset time interval threshold, determine that the smart device corresponding to the identifier is in an offline state; and when the time difference is less than or equal to the preset time interval threshold, determine the smart device corresponding to the identifier Online.
  • the second determining unit 52 further includes:
  • the second receiving sub-unit is configured to receive the second triggering signal, where the second triggering signal includes at least one of the following generating modes: generating a trigger signal by manually clicking a trigger control by the user, generating a trigger signal by using a preset sending frequency, The trigger signal is generated by receiving the status data sent by the smart device, and the trigger signal is generated after determining that the smart device is in the online state;
  • a second obtaining subunit configured to acquire a security threshold range of status data of the preset smart device
  • a first comparison subunit for comparing whether the status data exceeds a security threshold range
  • the second determining subunit is configured to determine that the smart device is in an abnormal state when the state data exceeds the security threshold range; and determine that the smart device is in a normal state when the state data does not exceed the security threshold range.
  • the state monitoring device further includes: a sending module 70, configured to send data;
  • the sending module 70 further includes:
  • a first sending unit configured to send feedback information to the smart device
  • the second sending unit is configured to send an offline time and an identifier, or an abnormal alarm and an identifier, to the management device.
  • the first sending unit includes:
  • a third obtaining sub-unit configured to acquire, when the smart device is in an offline state, a time and a current time when the state data corresponding to the identifier is received last time;
  • a second calculating sub-unit calculating an offline time of the smart device in an offline state, where the offline time is a difference between two time values acquired by the first acquiring unit;
  • the first sending subunit sends the identifier of the smart device in an offline state and an offline time
  • the second sending unit is configured to send the feedback information to the smart device when the smart device is in the non-offline state, wherein when the feedback information does not include the operation instruction or the identifier, the smart device does not perform the operation, and the feedback information When the operation instruction and the identifier are included, the corresponding smart device is identified to execute the operation instruction.
  • the state monitoring device further includes: a storage module 40, configured to store the identifier of the smart device, the status data, the time when the status data is received, and the time between the identification and the status data and the time when the status data is received. Correspondence relationship.
  • the apparatus provided in this embodiment of the present application may further include:
  • the alarm module is configured to send an alarm message after the working state of the smart device changes.
  • the various functional units provided by the embodiments of the present application may be operated in a mobile terminal, a computer terminal, or the like, or may be stored as part of a storage medium.
  • an embodiment of the present invention may provide a smart device, which may be any one of the smart device groups.
  • the smart device may execute the program code of the following steps in the monitoring method of the smart device: receiving status data and an identifier sent by the smart device, where the identifier of the smart device is sent as the status data, and the received status is obtained. The time of the data; judging the working status of the smart device according to the identification of the smart device, the status data, and the time when the status data is received.
  • the smart device may include: one or more processors, a memory, and a transmission device.
  • the memory can be used to store software programs and modules, such as the monitoring method of the smart device and the program instructions/modules corresponding to the device in the embodiment of the present invention.
  • the processor executes various programs by running software programs and modules stored in the memory. Function application and data processing, that is, the above-mentioned monitoring method of the smart device is implemented.
  • the memory may include a high speed random access memory, and may also include non-volatile memory such as one or more magnetic storage devices, flash memory, or other non-volatile solid state memory.
  • the memory can further include memory remotely located relative to the processor, which can be connected to the terminal over a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
  • the above transmission device is for receiving or transmitting data via a network.
  • Specific examples of the above network may include a wired network and a wireless network.
  • the transmission device includes a Network Interface Controller (NIC) that can be connected to other network devices and routers via a network cable to communicate with the Internet or a local area network.
  • the transmission device is a Radio Frequency (RF) module for communicating with the Internet wirelessly.
  • NIC Network Interface Controller
  • RF Radio Frequency
  • the memory is used to store preset action conditions and information of the preset rights user, and an application.
  • the processor can call the memory stored information and the application by the transmitting device to execute the program code of the method steps of each of the alternative or preferred embodiments of the above method embodiments.
  • Embodiments of the present invention also provide a storage medium.
  • the foregoing storage medium may be used to save the program code executed by the monitoring method of the smart device provided by the foregoing method embodiment and the device embodiment.
  • the foregoing storage medium may be located in any one of the smart device groups.
  • the storage medium disposed in the smart device is configured to store program code for performing the following steps: receiving status data and an identifier sent by the smart device, where the identifier is the number of sending states The identifier of the smart device; the time when the state data is received; and the working state of the smart device according to the identifier of the smart device, the state data, and the time when the state data is received.
  • the storage medium may also be configured as program code for storing various preferred or optional method steps provided by the monitoring method of the smart device.
  • the disclosed apparatus may be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical or otherwise.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
  • the technical solution of the present invention which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium. , including a number of instructions for causing a computer device (which can be a personal computer, a mobile terminal, a server, or a network device, etc.) to execute the present invention All or part of the steps of the methods described in the various examples.
  • the foregoing storage medium includes: a U disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and the like. .

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Abstract

公开了一种智能设备的监控方法和装置。该方法包括接收智能设备发送的状态数据和标识(S102),其中,标识为发送状态数据的智能设备的标识;获取接收到状态数据的时间(S104);根据智能设备的标识、状态数据、接收到状态数据的时间,判断智能设备的工作状态(S106)。该方法和装置解决了现有技术中无法实时监控智能设备工作状态的问题。

Description

一种智能设备的监控方法和装置 技术领域
本发明涉及远程监控领域,具体而言,涉及一种智能设备的监控方法和装置。
背景技术
现有的智能设备,例如物联网智能家居设备,更具体的,包括智能插座、智能家电等设备。当智能设备在线的时,可以响应远程控制命令,为人们生活带来极大便利。然而,电子产品并不是绝对可靠的,当智能设备内部系统故障或外部因素导致智能设备意外掉线后,智能设备不再远程可控,由于智能设备并没有提供在线状态监控的功能,导致使用者并不能及时发现智能设备的状态;往往等到使用者需要使用时,才发现智能设备异常或不可用,从而影响了使用者的正常使用。尤其的,当一个系统包含众多智能设备时,其中若干个设备掉线会导致系统整体不可靠,而逐一排查掉线设备会消耗大量人力物力。例如,现有酒店的智能设备,大多是采用无线联网的方式连接到酒店局域网,酒店前台工作人员通过酒店局域网远程的访问、开启或关闭智能设备,并设置智能设备的开锁密码或开锁门卡ID等等,但是现有的智能设备并没有提供智能设备是否在线的状态监控功能,一旦出现门锁故障、电池没电、网络故障等情况,酒店管理人员并不能及时获得相关信息并进行处理,从而影响客人入住。由上可知,现有技术中并没有提供智能设备是否在线的状态检测功能,也没有提供对智能设备的状态进行分析处理,以预警智能设备可能出现的问题。
针对现有技术中无法实时监控智能设备工作状态的问题,目前尚未提出有效的解决方案。
发明内容
本发明的主要目的在于提供一种智能设备的监控方法和装置,以解决现有技术中无法实时监控智能设备工作状态问题。
为了实现上述目的,根据本发明实施例的一个方面,提供了一种智能设备的监控方法。根据本发明的智能设备的监控方法包括:接收智能设备发送的状态数据和标识,其中,标识为发送状态数据的智能设备的标识;获取接收到状态数据的时间;根据智能设备的标识、状态数据、接收到状态数据的时间,判断智能设备的工作状态。
为了实现上述目的,根据本发明实施例的另一方面,提供了一种智能设备的监控装置。根据本发明的智能设备的监控装置包括:接收模块,接收智能设备发送的状态数据和标识,其中,标识为发送状态数据的智能设备的标识;获取模块,用于获取接收到状态数据的时间;判断模块,用于根据智能设备的标识、状态数据、接收到状态数据的时间,判断智能设备的工作状态。
根据发明实施例,通过对接收到的智能设备发送的状态数据和标识进行处理,以判断智能设备当前工作状态,解决了现有技术中无法实时监控智能设备工作状态问题,达到了实时监控智能设备,实时判断智能设备是否在线以及预警智能设备可能出现的故障的效果。
附图说明
构成本申请的一部分的附图用来提供对本发明的进一步理解,本发明的示意性实施例及其说明用于解释本发明,并不构成对本发明的不当限定。通过参考以下结合附图的说明及权利要求书的内容,并且随着对本发明的更全面理解,本发明的其它目的及结果将更加明白及易于理解。在附图中:
图1是根据本发明实施例的智能设备的监控方法的流程图;以及
图2是根据本发明实施例的智能设备的监控装置的示意图。
具体实施方式
需要说明的是,在不冲突的情况下,本申请中的实施例及实施例中的特征可以相互组合。下面将参考附图并结合实施例来详细说明本发明。
为了使本技术领域的人员更好地理解本发明方案,下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分的实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都应当属于本发明保护的范围。
需要说明的是,本发明的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象,而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换,以便这里描述的本发明的实施例。此外,术语“包括”和“具有”以及他们的任何变形,意图在于覆盖不排他的包含,例如,包含 了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元,而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
需要说明的是,本发明所有实施例中涉及的智能设备,为能够获取自身状态并通过设备自身的通信接口将状态数据和自身标识数据发出、且能通过通信接口接收数据并针对数据进行相应操作的设备;例如,本发明的智能设备包括但不限于:智能门锁、智能插座、智能家电和空气净化器等。在本申请中,服务器不限种类,可以是集中式服务器、分布式服务器、云服务器等。
本发明实施例提供了一种智能设备的监控方法。
图1是根据本发明实施例的智能设备的监控方法的流程图。如图1所示,该智能设备的监控方法包括步骤如下:
步骤S102,接收智能设备发送的状态数据和标识,其中,标识为发送状态数据的智能设备的标识;
具体的,在上述步骤S102中,智能设备主动的向服务器发送自己的状态数据和标识,优选的,标识为智能设备的ID,状态数据表征着智能设备当前的状态,例如,状态数据为智能设备使用时长、智能设备剩余电量、智能设备与服务器的通信接口、智能设备与服务器的通信类型、无线信号的强度等。本申请中,智能设备种类不同,会导致状态数据的种类有相应的增加或者减少,可选的,当智能设备为智能门锁时,状态数据除了包括上述的几种之外,还可包括智能门锁的开闭状态、智能门锁在某时间段内的开闭次数、智能门锁的错误开闭等;可选的,当智能设备为智能插座时,状态数据除了包括上述的几种之外,还可包括智能插座的开关状态、智能插座在某时间段内的用电量数据、智能插座的定时开关信息等;可选的,当智能设备为智能空调时,状态数据除了包括上述的几种之外,还可包括智能空调当前设定的温度、智能空调采集到的当前室内温度、智能空调的定时开关信息、智能空调的预计从室温调至设定温度的时间等;可选的,当智能设备为智能空气净化器时,状态数据除了包括上述的几种之外,还可包括智能空气净化器的净化风速、智能空气净化器采集的室内空气质量等。总之,状态数据并非一成不变的,当在对于智能设备的监控过程中需要用到智能设备某一状态数据时,则可将该需要的状态加入工作状态,由智能设备将选定的工作状态进行主动汇报。智能设备从内部读取自己的状态,转换成状态数据,通过与服务器约定的数据格式,将自己的状态数据和标识发送给服务器。
步骤S104,获取接收到状态数据的时间;
具体的,在上述步骤S104中,可选的,借助数字签名技术,即智能设备发送状态数据和标识之中含有签发的时间戳,再由服务器从接收到数据中筛选出时间戳并转化为时间信息;可选的,接收到状态数据的时间,也可以为服务器真实接收到状态数据和标识时的系统时间;只要有一个客观存在的字符序列,表征接收到智能设备发送的状态数据和标识的时间即可。
步骤S106,根据智能设备的标识、状态数据、接收到状态数据的时间,判断智能设备的工作状态。
具体的,在上述步骤S106中,工作状态至少包括两组状态:在线状态和离线状态为对应的一组状态,正常状态和异常状态为对应的另一组状态。本申请中,根据步骤S102中接收的状态数据的类别,并根据预先设置的不同状态数据类别的阈值,判断智能设备的工作状态是否正常或异常;根据步骤S102中接收的状态数据和步骤S104中获取的接收到状态数据的时间,判断智能设备是否在线或离线。上述两组工作状态为最通用的工作状态类别,随着智能设备种类不同,工作状态的种类有相应的增加或者进一步的细化;例如当智能设备为智能门锁时,异常工作状态还可包括;剩余电量异常、连续开锁时长异常、错误开锁次数异常等;当智能设备为智能插座时,异常工作状态还可包括:充电电流异常、用电量异常等;当智能设备为智能空调时,异常工作状态还可包括:设定温差异常、连续开机时长异常等;当智能设备为智能空气净化器时,异常工作状态还可包括:室内空气质量异常等。
其中,当工作状态至少包括在线状态和离线状态时,步骤S106包括:
步骤S202:接收第一触发信号,其中,第一触发信号至少包括如下任意一种生成方式:通过用户手动点击触发控件生成第一触发信号、通过预先设定的发送频率生成第一触发信号;
具体的,在上述步骤S202中,可选的,第一触发信号的生成方式包括:方式一,通过用户手动点击触发控件生成第一触发信号,例如,为用户点击服务器中提供的在线状态检测按钮;方式二,通过预先设定的发送频率f4生成第一触发信号,为具有设定频率的周期性信号,如果智能设备也是按照另一设频率f3向服务器发送状态数据和标识,那么,优选的,方式二中第一触发信号的频率f4大于智能设备发送状态数据的频率f3,以确保服务器能够及时检测出智能设备的在线或离线状态;方式二中第一触发信号的频率f4越大,判断智能设备是否异常的时间延迟就越小,判断结果的实时性更好。
步骤S204:获取预设时间间隔阈值;
具体的,在上述步骤S204中,当接收到第一触发信号后,获取预设时间间隔阈值。预设时间间隔阈值表示时间长度,例如,50s。可选的,预设时间间隔阈值范围为10~60s。预设时间间隔阈值并不必须与智能设备发送状态数据的周期相同。
步骤S206:计算最近一次接收到标识对应的状态数据的时间与当前时间的时间差值;
具体的,在上述步骤S206中,由于预设时间间隔阈值并不必须与智能设备发送状态数据的周期相同,优选的,预设时间间隔阈值略大于智能设备发送状态数据的周期。当服务器收到了多次智能设备发送的状态数据时,服务器从收到的数据中筛选出最近一次接收到状态数据的时间,并计算该最近一次接收到状态数据的时间与当前时间的差值。
步骤S208:当时间差值大于预设时间间隔阈值时,判定标识对应的智能设备处于离线状态;当时间差值小于或等于预设时间间隔阈值时,判定标识对应的智能设备处于在线状态。
此处,需要说明的是,在线状态和离线状态,是表示当前设备是否能够连接到服务器的状态,智能设备每隔预定的时间间隔阈值,就向服务器发送一帧状态数据,当服务器超过这个预定的时间间隔阈值还没有接收到状态数据时,就判定该智能设备当前并没有在线连接与服务器,即该智能设备处于离线状态。造成智能设备离线的原因,可能是智能设备本身的故障,也可能是智能设备与服务器之间的有线或无线通信链路发生故障。
综上,通过步骤S202至步骤S208,本实施例提供的技术方案,通过对智能设备发送状态数据的时间进行监控,实现了超过预设时间间隔阈值没有接收到智能设备的信息,即判断智能设备离线的效果。
其中,当判断出智能设备处于在线状态之后,当工作状态还包括正常状态和异常状态时,步骤S106包括:
步骤S302a:接收判断智能设备处于在线状态后生成的触发信号;
具体的,在上述步骤S302a中,当服务器判定智能设备在线之后,生成触发信号;也就是说,只有在判断智能设备在线的情况下,才会进一步的判断智能设备的正常或异常状态。可选的,可以在判断智能设备在线之后立刻生成该触发信号,也可以在判 断智能设备在线之后的预设时间段之后生成该触发信号。在智能设备保持在线的情况下,该触发信号的信号周期,等同于前述第一触发信号的信号周期。
步骤S304a:获取预先设置的智能设备的状态数据的安全阈值范围;
具体的,在上述步骤S304a中,安全阈值范围可以是由一个封闭区间确定的范围,例如,5%~20%,则落入此封闭区域中的同类状态数据被认为是正常的状态数据;安全阈值范围也可以是由特定点值以及与特定点值的大小关系确定的开放的范围,例如,安全阈值范围设定为大于10,则大于10的同类状态数据被认为是正常的状态数据。
步骤S306a:比对状态数据是否超出安全阈值范围,当状态数据超出安全阈值范围时,判定智能设备处于异常状态。
具体的,在上述步骤S306a中,安全阈值范围确定所覆盖的区域,为智能设备状态数据为正常的区域。当状态数据没有超出安全阈值范围时,判定智能设备状态正常,当状态数据超出了安全阈值范围时,判定智能设备状态异常。
综上,通过步骤S302a~步骤S306a,实现了在判定智能设备处于在线状态的情况下,进一步判定智能设备的工作状态是正常状态还是异常状态。此处的异常状态,表示当前设备能够与服务器正常连接,但是设备本身的状态,是处于一种非正常的在线状态,该智能设备有可能在可预见的时间内、或者可预见的情形下发生故障。与异常状态相对应的,正常状态是指设备的状态数据正常,暂时不会发生可预见的故障。因此,基于上述智能设备工作状态的分类,智能设备可能处于在线正常状态,在线异常状态、离线状态。了解智能设备的在线、离线状态,可以有助于快速清晰的定位离线智能设备,方便管理人员进行维修;而了解智能设备是否处于异常状态,可以有助于预先了解智能设备可能发生的问题,方便管理人员在智能设备离线前进行维护。
其中,当工作状态还包括正常状态和异常状态时,步骤S106包括:
步骤S302b:接收第二触发信号,其中,第二触发信号至少包括如下任意一种生成方式:通过用户手动点击触发控件生成第二触发信号、通过预先设定的发送频率生成第二触发信号、通过接收到智能设备主动发送的状态数据生成第二触发信号;
具体的,在上述步骤S302b中,可选的,第二触发信号的生成方式包括:方式一,通过用户手动点击触发控件生成第二触发信号,例如,为用户点击服务器中提供的异常检测按钮;方式二,通过预先设定的发送频率f2生成第二触发信号,为具有设定频率的周期性信号,如果智能设备也是按照另一设定频率f1向服务器发送状态数据和标 识,那么,优选的,方式二中触发信号的频率f2大于智能设备发送状态数据的频率f1,以确保服务器能够及时检测出智能设备是否处于异常状态;方式二中第二触发信号的频率f2越大,判断智能设备是否异常的时间延迟就越小,判断结果的实时性更好;方式三:通过接收到智能设备主动发送的状态数据生成第二触发信号,为服务器一旦接收到智能设备主动发送的状态数据后就立即产生的第二触发信号,也就是说,服务器一旦接收到新的状态数据,就立即判断接收到的状态数据是否正常。
可选的,方式一至方式三的第二触发信号的生成过程,并不依赖于智能设备是否在线的判断结果,也就是说,基于第二触发信号的正常或异常状态判断,可以独立于基于第一触发信号的智能设备在线或离线状态判断。
步骤S304b:获取预先设置的智能设备的状态数据的安全阈值范围;
具体的,在上述步骤S304b中,安全阈值范围可以是由一个封闭区间确定的范围,例如,5%~20%,则落入此封闭区域中的同类状态数据被认为是正常的状态数据;安全阈值范围也可以是由特定点值以及与特定点值的大小关系确定的开放的范围,例如,安全阈值范围设定为大于10,则大于10的同类状态数据被认为是正常的状态数据。
步骤S306b:比对状态数据是否超出安全阈值范围,当状态数据超出安全阈值范围时,判定智能设备处于异常状态。
具体的,在上述步骤S306b中,安全阈值范围确定所覆盖的区域,为智能设备状态数据为正常的区域。当状态数据没有超出安全阈值范围时,判定智能设备状态正常,当状态数据超出了安全阈值范围时,判定智能设备状态异常。
综上,通过步骤S302b至步骤S306b,实现了判定智能设备的工作状态是正常状态还是异常状态。此处的异常状态,表示当前设备能够与服务器正常连接,但是设备本身的状态,是处于一种非正常的在线状态,该智能设备有可能在可预见的时间内、或者可预见的情形下发生故障。与异常状态相对应的,正常状态是指设备的状态数据正常,暂时不会发生可预见的故障。因此,在线状态和离线状态互斥、正常状态和异常状态互斥,即智能设备必然处于在线状态和离线状态二者之一、正常状态和异常状态二者之一的状态。可选的,在线离线状态和正常异常状态相互独立,因此,基于上述智能设备工作状态的分类,智能设备可能处于在线正常状态,在线异常状态、离线正常状态、离线异常状态。进一步的,可以根据智能设备离线时所处的正常异常状态判断智能设备的情况,例如,如果判定智能设备处于离线正常状态,则表示在智能设备即将离线时,检测到的智能设备的状态数据在安全阈值范围之内,则智能设备的离线原因更可能是外在原因如通信链路故障,或不可预料的突发性原因。又例如,如果 判定智能设备处于离线异常状态,则表示在智能设备即将离线时,检测到的智能设备的状态数据超出安全阈值范围,则智能设备的离线原因更可能是该异常状态数据指向的内在原因。综上,了解智能设备的在线、离线状态,可以有助于快速清晰的定位离线智能设备,方便管理人员进行维修;而了解智能设备是否处于异常状态,可以有助于预先了解智能设备可能发生的问题,方便管理人员在智能设备离线前进行维护。
其中,在步骤S208之后,方法还包括:
步骤S210:服务器持续检测智能设备的工作状态,当检测到智能设备的工作状态发生改变时,服务器通知管理设备或管理人员。智能设备的工作状态发生改变,包括智能设备的工作状态由在线状态变为离线状态,也包括智能设备的工作状态由离线状态变位在线状态。其中,检测智能设备的工作状态由在线状态变为离线状态之时,即为在上一次检测时服务器判定该智能设备在线状态,但是本次检测时该智能设备的工作状态变为离线状态;检测智能设备的工作状态由离线状态变为在线状态之时,即为上一次检测时服务器判定该智能设备离线状态,但是本次检测时该智能设备的工作状态变为在线状态。通过上述步骤S210,尤其是当设备进行检修的时候,现场检修工作人员能够看到设备恢复正常工作,但无法获知其是否能与服务器进行正常通信,此时,若是管理人员通过管理系统或者管理设备,收到了改智能设备的工作状态由离线变位在线的消息,可判断该设备能够与服务器进行正常通信。综上所述,上述步骤S210提供的方法,亦为一种在线与远程的联合检修方法。
其中,在步骤S208之后,方法还包括:
步骤S212:在判断智能设备处于离线状态的情况下,根据最近一次接收到标识对应的状态数据的时间与当前时间的时间差值,计算出处于离线状态的智能设备的离线时间;将处于离线状态的智能设备的标识与离线时间发出;
具体的,在上述步骤S212中,服务器将处于离线状态的智能设备的标识与离线时间发送给管理设备;管理设备为管理该智能设备的管理终端,该终端能够接收并存储服务器发送的信息。当服务器判定智能设备离线,向管理设备发出警示信息,并将离线智能设备的标识和离线时间发送给管理设备,为管理人员或维修人员提供指引。管理人员通过该管理设备,实时了解智能设备的在线离线情况。
步骤S214:在判断智能设备处于非离线状态的情况下,向智能设备发送反馈信息,其中,当反馈信息中不含操作指令或标识时,智能设备不进行操作,当反馈信息中包含操作指令和标识时,标识对应的智能设备执行操作指令。
具体的,在上述步骤S214中,在服务器判断判断设备处于非离线状态时,可以向智能设备发送例行反馈信息,标识收到了智能设备发送的状态数据;也可以向智能设备发送操作指令和标识,其中,操作指令可以为其他有权限的控制设备通过服务器发送的操作指令;也可以为根据智能设备的状态数据和接收到状态数据的时间戳,服务器自动返回的响应的操作指令,在这种情况下,服务器中存储有集合列表,存储了智能设备的状态数据与待返回的状态数据之间的对应关系。例如,当智能设备的剩余电量不足10%,且设备使用时长超过12小时,则返回重新设定设备权限密钥的指令。
具体的,在上述步骤S214中,非离线状态即在线状态;可选的,基于上述智能设备工作状态的分类,智能设备可能处于在线正常状态,在线异常状态、离线正常状态、离线异常状态,因此非离线状态可以包括:在线正常状态和在线异常状态。
其中,步骤S214中,当反馈信息中包含操作指令和标识时,标识对应的智能设备执行操作指令的方法包括:
步骤S402:智能设备接收反馈信息,
步骤S404:在监测到反馈信息中包含操作指令和标识的情况下,读取操作指令中携带的标识,
其中,在上述步骤S404中,操作指令为智能设备能够识别的控制指令,对于不同种类的智能设备,其能够识别的控制指令也相应的不同。例如,当智能设备为智能门锁时,操作指令可包括:开锁命令、反锁命令、重新设定门锁密码、重新设定开锁门卡ID、设置设备的IP地址、设置设备的通讯端口等;又例如,当智能设备为智能插座时,操作指令可包括:插座远程开关命令、插座耗电监视命令、插座定时开关命令、超出设定电量自动断开命令、控制密码的设置和修改命令等;又例如,当智能设备为智能空调时,操作指令可包括:调节温度命令、远程开关命令、定时开关命令等;又例如,当智能设备为智能空气净化器时,操作指令可包括:调节风速命令、开关命令等。总之,操作指令并非一成不变的,也并不仅限于本申请中列出的若干种,对于智能设备本身能够识别并执行的操作指令,都可以通过服务器进行远程控制。
步骤S406:将操作指令中携带的标识与智能设备的标识进行比对,在操作指令中携带的标识与智能设备的标识相同的情况下,智能设备执行操作指令对应的操作。
综上,步骤S402至步骤S406通过判断服务器反馈的操作指令是否为发给本智能设备,并执行确认发给本智能设备的指令,实现了服务器对智能设备的远程控制。
其中,步骤S102中,智能设备发送状态数据的方法包括:
步骤S502:接收第三触发信号;其中,第三触发信号为通过预先设定的发送频率生成的第三触发信号;
具体的,在上述步骤S502中,第三触发信号的频率,即为智能设备向服务器发送状态数据的频率。
步骤S504:获取智能设备的当前状态,生成状态数据;
具体的,在上述步骤S504中,当接收第三触发信号后,执行上述步骤S504的操作,智能设备或扫描自身硬件,或读取设备存储器中存储的状态数据,将设备当前的状态如实转换为状态数据。
步骤S506:发送状态数据。
综上,步骤S502至步骤S506,实现了智能设备定期向服务器发送状态数据的效果。
其中,在步骤S402至步骤S406,或者步骤S502至步骤S506的执行过程中,如果智能设备接收到外部输入的操作指令,则中断执行该步骤S402至步骤S406,或者步骤S502至步骤S506的任意一个正在执行的步骤;当智能设备终止接收外部输入的操作指令,主动将因执行外部输入的控制指令而生成的操作数据发送给服务器,且恢复执行中断时正在进行的步骤。具体的,外部输入的操作指令为智能设备本地直接接收到的操作指令,与服务器远程发送的操作指令相对应。最典型的一种外部输入的操作指令,即外部输入的由用户对智能设备直接进行操作而产生的控制指令,对于不同的智能设备,其外部输入的操作指令也不同,以智能门锁为例,外部输入的操作指令包括但不限于:输入密码开锁、刷卡开锁、反锁等;以智能插座为例,外部输入的操作指令包括但不限于:按下开关按钮等;以智能空调为例,外部输入的操作指令包括但不限于:按下开关按钮、升高设定温度、降低设定温度、定时等,与智能空调遥控器所具备的控制功能相应;以智能空气净化器为例,外部输入的操作指令包括但不限于:按下开关按钮、设置空气净化速率等。
例如,在智能设备执行步骤S504的过程当中,即智能设备正在扫描自身当前状态,并生成数据状态的过程中,智能设备接收到用户直接对智能设备进行操作的操作动作命令时,智能设备进入中断模式;智能设备中断并记录当前执行的步骤中即步骤S504中正在进行的具体操作,并执行用户指定的操作命令,在执行完毕用户指定的命令, 并没有接收到用户的其他操作命令时,智能设备根据已执行的用户指定的操作命令,生成用户操作数据并将该数据发送给服务器,发送完成后智能设备退出中断模式,继续执行中断前正在执行的步骤。
其中,在步骤S104之后,智能设备的监控方法还包括:步骤S105:存储智能设备的标识、状态数据、接收到状态数据的时间、以及标识和状态数据和接收到状态数据的时间之间的对应关系。
可选的,通过建立监控列表,或者链接数据库的方式,存储标识、状态数据、收到状态数据的时间、以及前述三者之间的关联关系。如此,将智能设备的历史状态数据均记录在服务器中,方便管理者进行维护,还可以为后续的大数据处理提供数据依据。
可选的,在步骤S208之后,本申请实施例提供的方法还可以包括:
步骤S209,在工作状态发生改变之后,服务器发出告警信息。
可选的,在步骤S102之前,本申请实施例提供的方法还可以包括:
步骤S1011,读取智能设备的工作状态。
步骤S1013,根据工作状态生成具有预设数据格式的状态数据。
下面以智能设备为智能锁为例,对本实施例提供的智能设备监控方法进行进一步说明。该实施例的智能锁的监控方法可以是上述实施例的智能设备的监控方法的一种优选实施方式。该智能锁的监控方法包括步骤如下:
步骤A,智能锁根据自身状态,按照某一时间间隔,向服务器主动发送一帧状态数据和标识;其中,发送的状态数据包括:设备种类、设备剩余电量、设备通信类型;智能锁在执行步骤A的过程中,如果接收到用户直接对智能锁进行操作的操作动作命令时,智能锁中断当前正在执行的步骤,执行用户操作,并将用户操作数据发送给服务器,执行完成用户操作并且将用户操作数据发送给服务器后,智能锁恢复执行该中断的步骤。
其中,用户操作直接对智能锁的操作包括:遥控开锁、门卡开锁、密码开锁、钥匙开锁、反锁;
用户操作数据包括:开锁方式、开锁时间、密码输入错误报警、防撬报警、反锁数据、使用错误门卡开门报警等,其中开锁方式数据还包括遥控开锁数据、钥匙开锁数据和密码开锁数据。
步骤B,服务器设定异常状态检查频率f5,在线离线状态检查频率f6,判断智能锁离线时间间隔阈值t1,和,智能锁状态数据的安全阈值范围;其中,当设定好频率后,服务器按照设定的f5频率接收智能锁异常状态检查触发信号,按照设定的f6频率接收在线离线状态检查触发信号。
可选的,判断智能锁离线时间间隔阈值t1为10~60s;剩余电量阈值范围为3%~15%。
步骤C,服务器接收智能锁发来的状态数据和标识,并获取接收到状态数据的时间;
步骤D,服务器建立监控列表,存储智能锁发来的状态数据、标识、接收到状态数据的时间,以及前述三者之间的关联关系。
步骤E,服务器接收到f6频率的线离线状态检查触发信号,获取预先设定的判断智能锁离线时间间隔阈值t1,从监控列表中针对每个标识,筛选出标识ID关联的最新时间;计算最新时间与当前时间的时间差;当时间差大于预设时间间隔阈值时,则判定与最新时间关联的标识ID对应的智能锁处于离线状态,当时间差小于或等于预设时间间隔阈值时,判定与最新时间关联的标识ID对应的智能锁处于在线状态。当判定智能锁处于离线状态时,服务器记录标识、掉线时间,并将标识和掉线时间发送给酒店管理系统或智能锁管理系统,通知酒店管理人员或门锁维修人员进行处理。
步骤F:服务器接收到f5频率的智能锁异常状态检查触发信号,获取预先设定的智能锁状态数据的安全阈值范围,从监控列表中针对每个标识,筛选出最新时间戳对应的状态数据,判断该状态数据是否位于安全阈值范围,如果状态数据超出安全阈值范围,则判定智能锁为异常状态。当服务器判定设备异常时,向管理设备发出警报。
可选的,发出警报的方式可以为向酒店管理人员发送短消息。
步骤G:服务器在判定智能锁非离线的状态下,向智能锁发出反馈信息,反馈信息可以为表征收到状态数据的例行反馈信息,也可以为携带操作指令的控制信息,其中,操作指令包括:开锁命令、反锁命令、重新设定门锁密码、重新设定开锁门卡ID、设置设备的IP地址、设置设备的通讯端口;
步骤H:智能锁接收该反馈信息,在监测到反馈信息中包含操作指令和标识的情况下,读取操作指令中携带的标识,将操作指令中携带的标识与智能锁的标识进行比对,在操作指令中携带的标识与智能锁的标识相同的情况下,智能锁执行操作指令对应的操作。智能锁在执行步骤H的过程中,如果接收到用户直接对智能锁进行操作的操作动作命令时,智能锁中断当前正在执行的步骤,执行用户操作,并将用户操作数据发送给服务器,执行完成用户操作并且将用户操作数据发送给服务器后,智能锁恢复执行该中断的步骤。
下面以智能空调为例,对本实施例提供的智能设备监控方法进行进一步说明。该实施例的智能空调的监控方法可以是上述实施例的智能设备的监控方法的一种可选实施方式。该智能空调的监控方法包括步骤如下:
步骤a,智能空调以特定频率向服务器主动发送一帧状态数据和标识;此例中,状态数据包括智能空调开、关状态,智能空调设定温度,智能空调当前温度,智能空调使用时间等;
步骤b,服务器设定异常状态检查频率f5,在线离线状态检查频率f6,判断智能锁离线时间间隔阈值t1,和,智能空调状态数据的安全阈值范围;
步骤c,服务器接收智能空调发来的状态数据和标识,并获取接收到状态数据的时间;
步骤d,服务器将接收到的状态数据、标识、接收到状态数据的时间对应的存入数据库中;
步骤e,服务器接收到f6频率的线离线状态检查触发信号后,首先获取预先设定的判断智能空调离线时间间隔阈值t1,然后从数据中筛选出每个标识对应的接收到状态数据的最新时间,计算最新时间与当前时间的时间差;当时间差大于t1时,则判定该标识对应的智能空调离线,当时间差小于或等于t1时,判定该标识对应的智能空调在线。当判定智能空调离线时,服务器记录标识及离线时间,并将该标识及离线时间发送给管理系统,通知管理人员进行处理。
可选的,在线、离线状态不对应于智能空调的开、关状态,即使智能空调并没有开始运行,但只要其与电源连接并能将自身状态数据发送给服务器,则服务器认定其在线;可选的,在线、离线状态对应于智能空调的开、关状态,只有当智能空调的运行时,才允许将自身状态数据发送给服务器,此时,只有当智能空调开启并能进行通 信时,服务器才认定其在线。在此实施例中,在线、离线状态不对应于智能空调的开、关状态。
步骤f:服务器接收到f5频率的智能空调异常状态检查触发信号,获取预先设定的智能空调状态数据的安全阈值范围,此处,安全阈值范围有二,其一为持续运行时间阈值,其二为设定温度与当前室温最大温度差阈值;
从数据库中针对每个标识,筛选出最新时间戳对应的状态数据,针对接收的使用时间,判断是否超出持续运行时间阈值;针对接收的当前室内温度和当前智能空调设定温度,计算其差值,并判断该差值是否位于最大温度差阈值范围内;如果上述两次判断中任意一次超出了安全阈值范围,则判定智能空调为异常状态。
步骤g:当服务器判定空调在线但非异常状态时,向智能空调发出未携带操作指令的反馈信息,反馈信息为表征收到状态数据的例行反馈信息。当服务器判定设备异常时,向智能空调发出携带操作指令的反馈信息,例如发出关闭空调的指令;
步骤h:智能空调接收该未携带操作指令的反馈信息,不执行操作;在接收到该携带操作指令的反馈信息时,读取操作指令中携带的标识,将操作指令中携带的标识与智能空调的标识进行比对,在操作指令中携带的标识与智能空调的标识相同的情况下,智能空调执行操作指令对应的操作。
其中,智能空调在执行步骤a和h的过程中,如果接收到用户直接对智能空调进行操作的操作动作命令时,智能空调中断当前正在执行的步骤,执行用户操作,并将用户操作数据发送给服务器,执行完成用户操作并且将用户操作数据发送给服务器后,智能空调恢复执行该中断的步骤。
通过上述两个关于智能锁、智能空调的具体实例可以看出,本申请提供的监控方法,在对状态数据、阈值数据、操作指令进行适应性的调整之后,本方法可适用于任何本申请中所指的智能设备。
本发明实施例还提供了一种智能设备的监控装置。需要说明的是,本发明实施例的智能设备的监控装置可以用于执行本发明实施例所提供的智能设备的监控方法,本发明实施例的智能设备的监控方法也可以通过本发明实施例所提供的智能设备的监控装置来执行。
图2是根据本发明实施例的智能设备的监控装置的示意图。如图2所示,包括:
接收模块10,用于接收智能设备发送的状态数据和标识,其中,标识为发送状态数据的智能设备的标识;
获取模块30,用于获取接收到状态数据的时间;
判断模块50,用于根据智能设备的标识、状态数据、接收到状态数据的时间,判断智能设备的工作状态。
判断模块50还包括:
第一判断单元51,用于判断智能设备是否处于在线状态或者离线状态,
第二判断单元52,用于判断智能设备是否处于正常状态或者异常状态;
其中,第一判断单元51还包括:
第一接收子单元,用于接收第一触发信号,其中,第一触发信号至少包括如下任意一种生成方式:通过用户手动点击触发控件生成触发信号、通过预先设定的发送频率生成触发信号;
第一获取子单元,用于获取预设时间间隔阈值;
第一计算子单元,用于计算最近一次接收到标识对应的状态数据的时间与当前时间的时间差值;
第一判定子单元,用于当时间差值大于预设时间间隔阈值时,判定标识对应的智能设备处于离线状态;当时间差值小于或等于预设时间间隔阈值时,判定标识对应的智能设备处于在线状态。
其中,第二判断单元52还包括:
第二接收子单元,用于接收第二触发信号,其中,第二触发信号至少包括如下任意一种生成方式:通过用户手动点击触发控件生成触发信号、通过预先设定的发送频率生成触发信号、通过接收到智能设备主动发送的状态数据生成触发信号、通过判断智能设备处于在线状态后生成触发信号;
第二获取子单元,用于获取预先设置的智能设备的状态数据的安全阈值范围,
第一比对子单元,用于比对状态数据是否超出安全阈值范围,
第二判定子单元,用于当状态数据超出安全阈值范围时,判定智能设备处于异常状态;当状态数据未超出安全阈值范围时,判定智能设备处于正常状态。
其中,判断模块50之后,状态监控装置还包括:发送模块70,用于发送数据;
其中,发送模块70还包括:
第一发送单元,用于向智能设备发送反馈信息;
第二发送单元,用于向管理设备发送离线时间和标识,或者异常警报和标识。
其中,第一发送单元包括:
第三获取子单元,用于在判断智能设备处于离线状态的情况下,获取最近一次接收到标识对应的状态数据的时间和当前时间;
第二计算子单元,计算处于离线状态的智能设备的离线时间,其中,离线时间为第一获取单元所获取的两个时间值的差值;
第一发送子单元,将处于离线状态的智能设备的标识与离线时间发出;
其中,第二发送单元用于在判断智能设备处于非离线状态的情况下,向智能设备发送反馈信息,其中,当反馈信息中不含操作指令或标识时,智能设备不进行操作,当反馈信息中包含操作指令和标识时,标识对应的智能设备执行操作指令。
其中,获取模块30之后,状态监控装置还包括:存储模块40,用于存储智能设备的标识、状态数据、接收到状态数据的时间、以及标识和状态数据和接收到状态数据的时间之间的对应关系。
可选地,本申请实施例提供的装置还可以包括:
告警模块,用于在智能设备的工作状态发生改变之后,发出告警信息。
本申请实施例所提供的各个功能单元可以在移动终端、计算机终端或者类似的运算装置中运行,也可以作为存储介质的一部分进行存储。
由此,本发明的实施例可以提供一种智能设备,该智能设备可以是智能设备群中的任意一个智能设备设备。
在本实施例中,上述智能设备可以执行智能设备的监控方法中以下步骤的程序代码:接收智能设备发送的状态数据和标识,其中,标识为发送状态数据的智能设备的标识;获取接收到状态数据的时间;根据智能设备的标识、状态数据、接收到状态数据的时间,判断智能设备的工作状态。
可选地,该智能设备可以包括:一个或多个处理器、存储器、以及传输装置。
其中,存储器可用于存储软件程序以及模块,如本发明实施例中的智能设备的监控方法和装置对应的程序指令/模块,处理器通过运行存储在存储器内的软件程序以及模块,从而执行各种功能应用以及数据处理,即实现上述的智能设备的监控方法。存储器可包括高速随机存储器,还可以包括非易失性存储器,如一个或者多个磁性存储装置、闪存、或者其他非易失性固态存储器。在一些实例中,存储器可进一步包括相对于处理器远程设置的存储器,这些远程存储器可以通过网络连接至终端。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
上述的传输装置用于经由一个网络接收或者发送数据。上述的网络具体实例可包括有线网络及无线网络。在一个实例中,传输装置包括一个网络适配器(Network Interface Controller,NIC),其可通过网线与其他网络设备与路由器相连从而可与互联网或局域网进行通讯。在一个实例中,传输装置为射频(Radio Frequency,RF)模块,其用于通过无线方式与互联网进行通讯。
其中,具体地,存储器用于存储预设动作条件和预设权限用户的信息、以及应用程序。
处理器可以通过传输装置调用存储器存储的信息及应用程序,以执行上述方法实施例中的各个可选或优选实施例的方法步骤的程序代码。
本发明的实施例还提供了一种存储介质。可选地,在本实施例中,上述存储介质可以用于保存上述方法实施例和装置实施例所提供的智能设备的监控方法所执行的程序代码。
可选地,在本实施例中,上述存储介质可以位于智能设备群中的任意一个智能设备中。
可选地,在本实施例中,设置在智能设备中的存储介质被设置为存储用于执行以下步骤的程序代码:接收智能设备发送的状态数据和标识,其中,标识为发送状态数 据的智能设备的标识;获取接收到状态数据的时间;根据智能设备的标识、状态数据、接收到状态数据的时间,判断智能设备的工作状态。
可选地,在本实施例中,存储介质还可以被设置为存储智能设备的监控方法提供的各种优选地或可选的方法步骤的程序代码。
需要说明的是,对于前述的各方法实施例,为了简单描述,故将其都表述为一系列的动作组合,但是本领域技术人员应该知悉,本发明并不受所描述的动作顺序的限制,因为依据本发明,某些步骤可以采用其他顺序或者同时进行。其次,本领域技术人员也应该知悉,说明书中所描述的实施例均属于优选实施例,所涉及的动作和模块并不一定是本发明所必须的。
在上述实施例中,对各个实施例的描述都各有侧重,某个实施例中没有详述的部分,可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中,应该理解到,所揭露的装置,可通过其它的方式实现。例如,以上所描述的装置实施例仅仅是示意性的,例如所述单元的划分,仅仅为一种逻辑功能划分,实际实现时可以有另外的划分方式,例如多个单元或组件可以结合或者可以集成到另一个系统,或一些特征可以忽略,或不执行。另一点,所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口,装置或单元的间接耦合或通信连接,可以是电性或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的,作为单元显示的部件可以是或者也可以不是物理单元,即可以位于一个地方,或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外,在本发明各个实施例中的各功能单元可以集成在一个处理单元中,也可以是各个单元单独物理存在,也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现,也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时,可以存储在一个计算机可读取存储介质中。基于这样的理解,本发明的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来,该计算机软件产品存储在一个存储介质中,包括若干指令用以使得一台计算机设备(可为个人计算机、移动终端、服务器或者网络设备等)执行本发 明各个实施例所述方法的全部或部分步骤。而前述的存储介质包括:U盘、只读存储器(ROM,Read-Only Memory)、随机存取存储器(RAM,Random Access Memory)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述仅为本发明的优选实施例而已,并不用于限制本发明,对于本领域的技术人员来说,本发明可以有各种更改和变化。凡在本发明的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本发明的保护范围之内。

Claims (16)

  1. 一种智能设备的监控方法,其特征在于,包括:
    接收智能设备发送的状态数据和标识,其中,所述标识为发送所述状态数据的智能设备的标识;
    获取接收到所述状态数据的时间;
    根据所述智能设备的所述标识、所述状态数据、接收到所述状态数据的时间,判断所述智能设备的工作状态。
  2. 根据权利要求1所述的方法,其特征在于,所述工作状态至少包括在线状态和离线状态,其中,根据所述智能设备的所述标识、所述状态数据、接收到所述状态数据的时间,判断所述智能设备的工作状态的步骤包括:
    接收第一触发信号,其中,所述第一触发信号至少包括如下任意一种生成方式:通过用户手动触发控件生成所述第一触发信号、通过预先设定的发送频率生成所述第一触发信号;
    获取预设时间间隔阈值;
    计算最近一次接收到所述标识对应的所述状态数据的时间与当前时间的时间差值;
    当所述时间差值大于所述预设时间间隔阈值时,判定所述标识对应的所述智能设备处于所述离线状态;当所述时间差值小于或等于所述预设时间间隔阈值时,判定所述标识对应的所述智能设备处于所述在线状态。
  3. 根据权利要求2所述的方法,其特征在于,所述工作状态还至少包括正常状态和异常状态,其中,根据所述智能设备的所述标识、所述状态数据、接收到所述状态数据的时间,判断所述智能设备的工作状态的步骤包括:
    接收判断所述智能设备处于所述在线状态后生成的触发信号;
    获取预先设置的所述智能设备的所述状态数据的安全阈值范围;
    比对所述状态数据是否超出所述安全阈值范围,当所述状态数据超出所述安全阈值范围时,判定所述智能设备处于所述异常状态,当所述状态数据未超出所述安全阈值范围时,判定所述智能设备处于所述正常状态。
  4. 根据权利要求1所述的方法,其特征在于,所述工作状态至少包括正常状态和异常状态,其中,根据所述智能设备的所述标识、所述状态数据、接收到所述状态数据的时间,判断所述智能设备的工作状态的步骤包括:
    接收第二触发信号,其中,所述第二触发信号至少包括如下任意一种生成方式:通过用户手动触发控件生成所述第二触发信号、通过预先设定的发送频率生成所述第二触发信号、通过接收到所述智能设备发送的所述状态数据生成所述第二触发信号;
    获取预先设置的所述智能设备的所述状态数据的安全阈值范围;
    比对所述状态数据是否超出所述安全阈值范围,当所述状态数据超出所述安全阈值范围时,判定所述智能设备处于所述异常状态,当所述状态数据未超出所述安全阈值范围时,判定所述智能设备处于所述正常状态。
  5. 根据权利要求2所述的方法,其特征在于,在判断所述智能设备的工作状态之后,所述方法还包括:
    在判断所述智能设备处于所述离线状态的情况下,根据最近一次接收到所述标识对应的所述状态数据的时间与当前时间的时间差值,计算出处于所述离线状态的所述智能设备的离线时间;将处于所述离线状态的所述智能设备的所述标识与所述离线时间发出;
    在判断所述智能设备处于所述在线状态的情况下,向所述智能设备发送反馈信息,其中,当所述反馈信息中不含操作指令或标识时,所述智能设备不进行操作,当所述反馈信息中包含所述操作指令和所述标识时,所述标识对应的所述智能设备执行所述操作指令。
  6. 根据权利要求5所述的方法,其特征在于,当所述反馈信息中包含操作指令和标识时,所述标识对应的所述智能设备执行所述操作指令的步骤包括:
    所述智能设备接收所述反馈信息,
    在监测到所述反馈信息中包含所述操作指令和所述标识的情况下,读取所述操作指令中携带的标识,
    将所述操作指令中携带的标识与所述智能设备的标识进行比对,在所述操作指令中携带的标识与所述智能设备的标识相同的情况下,所述智能设备执行所述操作指令对应的操作。
  7. 根据权利要求1至6中任意一项所述的方法,其特征在于,所述智能设备发送所述状态数据的步骤包括:
    接收第三触发信号;其中,所述第三触发信号为通过预先设定的发送频率生成的所述第三触发信号;
    获取所述智能设备的当前状态,生成所述状态数据;
    发送所述状态数据。
  8. 根据权利要求7所述的方法,其特征在于,在所述方法所包含的由所述智能设备完成的方法的步骤的执行过程中,如果所述智能设备接收到外部输入的第二操作指令,则中断执行由智能设备完成的方法所实施的任意一个步骤;当所述智能设备终止接收所述外部输入的所述第二操作指令,主动将因执行所述外部输入的所述第二操作指令而生成的操作数据发送给服务器,且恢复执行中断的由所述智能设备完成的方法的步骤。
  9. 根据权利要求1至5中任意一项所述的方法,其特征在于,在获取接收到所述状态数据的时间之后,所述方法还包括:存储所述智能设备的所述标识、所述状态数据、接收到所述状态数据的时间、以及所述标识和所述状态数据和接收到所述状态数据的时间之间的对应关系。
  10. 根据权利要求2所述的方法,其特征在于,在判定所述标识对应的所述智能设备处于所述在线状态之后,所述方法还包括:
    在所述智能设备的所述工作状态发生改变之后,发出告警信息。
  11. 根据权利要求1所述的方法,其特征在于,在接收智能设备发送的状态数据和标识之前,所述方法还包括:
    读取智能设备的工作状态;
    根据所述工作状态生成具有预设数据格式的所述状态数据。
  12. 一种智能设备的监控装置,其特征在于,包括:
    接收模块,接收智能设备发送的状态数据和标识,其中,所述标识为发送所述状态数据的智能设备的标识;
    获取模块,用于获取接收到所述状态数据的时间;
    判断模块,用于根据所述智能设备的所述标识、所述状态数据、接收到所述状态数据的时间,判断所述智能设备的工作状态。
  13. 根据权利要求12所述的装置,其特征在于,所述判断模块还包括:
    第一判断单元,用于判断所述智能设备是否处于在线状态或者离线状态;
    第二判断单元,用于判断所述智能设备是否处于正常状态或者异常状态。
  14. 根据权利要求12所述的装置,其特征在于,所述装置还包括:
    告警模块,用于在所述智能设备的所述工作状态发生改变之后,发出告警信息。
  15. 一种智能设备,用于执行所述权利要求1至11中任意一项所述的智能设备的监控方法提供的步骤的程序代码。
  16. 一种智能设备的存储介质,用于保存所述权利要求1至11中任意一项所述的智能设备的监控方法所执行的程序代码。
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