CN116708125B - Intelligent furniture networking control operation fault analysis system - Google Patents
Intelligent furniture networking control operation fault analysis system Download PDFInfo
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- CN116708125B CN116708125B CN202310976548.9A CN202310976548A CN116708125B CN 116708125 B CN116708125 B CN 116708125B CN 202310976548 A CN202310976548 A CN 202310976548A CN 116708125 B CN116708125 B CN 116708125B
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- 238000012544 monitoring process Methods 0.000 claims abstract description 88
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- 238000004891 communication Methods 0.000 claims abstract description 32
- 238000001514 detection method Methods 0.000 claims description 82
- 230000009471 action Effects 0.000 claims description 38
- 238000003032 molecular docking Methods 0.000 claims description 16
- 238000013519 translation Methods 0.000 claims description 12
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/04—Arrangements for maintaining operational condition
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention relates to the technical field of intelligent furniture control, in particular to an intelligent furniture networking control operation fault analysis system, which comprises the following components: the system comprises a first network connection monitoring unit, a second network connection monitoring unit, a network activation unit, a state monitoring unit, a supervision unit, a fault analysis unit and a fault learning unit, wherein the first network connection monitoring unit and the second network connection monitoring unit detect the communication state of a network; the network activation unit controls the connection state of the wired network and the wireless network; the state monitoring unit acquires an instruction execution state and an instruction receiving state of the intelligent furniture; the monitoring unit detects whether the intelligent furniture has faults or not; the fault analysis unit judges whether the intelligent furniture has network fault, instruction matching fault or signal receiving fault; the fault learning unit records and learns historical faults and determines the network connection activation frequency.
Description
Technical Field
The invention relates to the technical field of intelligent furniture control, in particular to an intelligent furniture networking control operation fault analysis system.
Background
The intelligent furniture product combination intelligently breaks through the combination mode of the traditional furniture, gives full play to the subjective creativity of users, freely combines and freely matches the appearance size and the combination mode according to personal preference and the actual condition of household space, and each unit is a product by splitting and unitizing the furniture functions, so that the products can be combined through the arrangement and superposition of the products, the construction operation of the intelligent furniture system is complex at the present stage, and the humanization degree of the products is low.
Chinese patent publication No.: CN214252984U discloses an intelligent home wi environment detection system, comprising: the heat sensing module is used for sensing heat of the household environment and transmitting heat source information of heat variation to the control center; the image acquisition and analysis unit is used for shooting and acquiring the home environment where the heat source is located according to the instruction of the control center, identifying and analyzing the acquired images, and transmitting the data obtained by analysis to the control center; the control center is used for controlling the working state of the image acquisition and analysis unit according to the data transmitted by the heat sensing module, controlling the working state of the intelligent furniture according to the data transmitted by the image acquisition and analysis unit and controlling the working state of the alarm unit according to the data transmitted by the image acquisition and analysis unit; therefore, the intelligent home WIFi environment detection system has the following problems: the detection system does not detect the instruction transmission and receiving part of the intelligent furniture, cannot eliminate the problem that the working state of the system is not matched due to the instruction transmission or receiving problem of the intelligent furniture, does not detect the furniture environment periodically or regularly, and cannot reduce the error frequency of the working state of the intelligent furniture.
Disclosure of Invention
Therefore, the invention provides an intelligent furniture networking control operation fault analysis system which is used for solving the problems that the instruction transmission and receiving part of intelligent furniture is not detected and the periodic detection or the timing detection is not carried out in the prior art.
In order to achieve the above object, the present invention provides an intelligent furniture networking control operation fault analysis system, comprising:
the first networking monitoring unit is connected with the intelligent furniture through a wired network port and is used for acquiring the communication state of the wired network through first detection;
the second network monitoring unit is connected with a signal sending end of the wireless network of the intelligent furniture and used for acquiring the communication state of the wireless network through second detection;
the network activation unit is respectively connected with the first network connection monitoring unit and the second network connection monitoring unit and is used for controlling the connection states of a wired network and a wireless network;
the state monitoring unit is arranged at the instruction execution end of each intelligent furniture and used for acquiring the instruction receiving state of each intelligent furniture and the instruction finishing state of each intelligent furniture through a preset channel;
the monitoring unit is respectively connected with the state monitoring unit and the instruction sending end of the intelligent furniture, and is used for determining a preset execution result of the intelligent furniture according to the control instruction sent by the instruction sending end and judging whether the intelligent furniture has operation faults according to the consistency of the instruction completion state of each intelligent furniture and the preset execution result;
The fault analysis unit is respectively connected with the supervision unit, the first network connection monitoring unit, the second network connection monitoring unit and the instruction sending end of the intelligent furniture and is used for sequentially controlling the network activation unit to execute a network activation strategy to determine a communication state under the condition of operation faults, determining whether the intelligent furniture has the network faults according to the communication state, judging whether the intelligent furniture has the signal receiving faults according to the instruction receiving states of the intelligent furniture obtained by the state monitoring unit, and sending an instruction checking signal to the instruction sending end under the condition of network connection operation so as to determine whether the instruction sending end has the instruction matching faults;
the fault learning unit is connected with the fault analysis unit and used for storing the occurrence time and the fault type of each fault, adjusting the network connection activation frequency according to the historical faults and detecting the faults of the intelligent furniture at regular time according to the network connection activation frequency;
the intelligent furniture control system comprises a preset channel, a network connection operation condition, a first detection and a second detection, wherein the preset channel is a signal transmission channel in an instruction receiving state, the operation fault condition is that the instruction completion state of any intelligent furniture is inconsistent with a preset execution result, the network connection operation condition is that the intelligent furniture has no network fault, the first detection is networking direct detection connection state, the second detection is feedback detection, and detection is carried out by sending a detection instruction signal to the intelligent furniture and receiving feedback of the detection instruction signal.
Further, the supervision unit comprises an instruction storage database, an instruction signal acquisition module, a translation module and an instruction state matching module, wherein:
the instruction storage database stores all instruction signals which can be received by the corresponding intelligent furniture and instruction information corresponding to each instruction signal;
the instruction signal acquisition module is used for acquiring an instruction signal sent to the corresponding intelligent furniture by the instruction sending end through establishing a signal channel with the instruction sending end of the intelligent furniture and serving as comparison source data of the working state of the intelligent furniture;
the translation module is respectively connected with the instruction storage database and the instruction signal acquisition module and used for translating a preset execution result corresponding to the intelligent furniture execution function according to the instruction signal of the instruction sending end;
the instruction state matching module is used for matching the preset execution result translated by the translation module with the action completion state of the corresponding intelligent furniture to determine the instruction completion state of the intelligent furniture.
Further, the first network connection monitoring unit comprises a hardware connection detector arranged at the wired network port and used for detecting the plugging state of the wired network port, and a network connection detector arranged at one side of the output end of the wired network port and used for detecting the network communication state;
The second network connection monitoring unit comprises a hardware connection detector arranged at the wireless network port and used for detecting the running state of the wireless network port, and a network connection detector arranged at one side of the output end of the wireless network port and used for detecting the network communication state.
Further, the state monitoring unit includes a signal receiving detector, a motion detector, and an comparator:
the signal receiving detector is connected with the instruction signal receiver of the intelligent furniture through a preset channel and is used for acquiring an instruction signal sent by the instruction sending end to the instruction receiving end of the intelligent furniture;
the motion detector is connected with the signal receiving detector and is arranged at a motion executing mechanism of the intelligent furniture and used for detecting a motion completion state of the corresponding intelligent furniture in a command receiving state;
the comparator is respectively connected with the signal receiving detector and the action detector and is used for determining the instruction completion state of the intelligent furniture according to the instruction signal transmitted by the instruction receiving end of the intelligent furniture and the action completion state made by the intelligent furniture in the instruction receiving state;
the instruction receiving state is that the signal receiving detector receives a transmitted instruction signal corresponding to the intelligent furniture instruction receiving end.
Further, the fault analysis unit is provided with a network fault detection strategy, which comprises the following steps:
the network activation strategy is used for controlling the network activation unit to carry out networking detection on the network connection state of the intelligent furniture, and comprises a wired network activation strategy and a wireless network activation strategy;
executing a signal matching strategy, wherein the signal matching strategy is used for controlling the state monitoring unit to feed back the instruction receiving state of the corresponding intelligent furniture, and performing signal matching detection according to the instruction receiving state of the intelligent furniture and a control instruction sent by an instruction sending end;
and executing an instruction matching strategy, wherein the instruction matching strategy is used for controlling the state monitoring unit to feed back the instruction completion state of the corresponding intelligent furniture, and performing matching detection according to the control instruction sent by the instruction sending end and the actual execution result of the intelligent furniture.
Further, the fault analysis unit sends an instruction verification signal to the instruction sending end in a first instruction completion state, and determines an execution result standard of the intelligent furniture according to a matching result of the received instruction signal sent by the instruction sending end and the verification signal;
the first instruction completion state is that the comparator judges that an instruction signal transmitted by the intelligent furniture instruction receiving end is matched with an action completion state made by the intelligent furniture.
Further, the fault learning unit determines the network connection activation frequency according to the occurrence times of the historical operation faults, or determines the network connection activation frequency according to the percentage of the network faults of the historical operation faults to all the faults.
Further, the signal receiving detector is provided with a signal receiving device, and is used for receiving an infrared signal, a Bluetooth signal or a WIFI signal transmitted by a signal transmitting end of the intelligent furniture executing signal receiver and receiving an instruction signal transmitted by the signal transmitting end.
Further, the supervision unit translates a preset execution result of the corresponding execution function according to the received instruction sending end instruction signal, compares the action execution state with the preset execution result, and judges whether the intelligent furniture has operation faults or not;
if the action completion state belongs to a preset execution result, the supervision unit judges that the instruction execution state is consistent with the execution result, and the intelligent furniture runs normally;
if the action completion state does not belong to the preset execution result, the supervision unit judges that the instruction execution state is inconsistent with the execution result, and the intelligent furniture has operation faults, specifically comprising:
judging that the intelligent furniture operation fault is a signal receiving fault in the first instruction completion state;
Judging the intelligent furniture operation fault as an execution fault in a second instruction completion state;
the second instruction completion state is that an instruction signal received by the intelligent furniture is not matched with a preset execution result.
Further, the network activation unit includes a wired docking module and a wireless docking module, wherein:
the wired docking module is arranged corresponding to the first networking monitoring unit and used for transmitting a wired network activation strategy to the first networking monitoring unit for connection control;
the wireless docking module is correspondingly arranged with the second network connection monitoring unit and is used for transmitting the wireless network activation strategy to the second network connection monitoring unit for connection control.
Compared with the prior art, the invention has the beneficial effects that the communication state of the wired network is directly detected by arranging the first network monitoring unit; the communication state of the wireless network is detected through the feedback of the second network monitoring unit; controlling the connection state of a wired network and a wireless network by setting a network activation unit; acquiring an instruction execution state of the intelligent furniture and an instruction receiving state of each intelligent furniture by setting a state monitoring unit; judging whether the intelligent furniture has faults or not according to the detection result by arranging a supervision unit; judging whether the intelligent furniture has network faults, instruction matching faults or signal receiving faults by arranging a fault analysis unit; the network connection activation frequency is determined by setting the fault learning unit to record and learn the historical fault information, and the network connection activation frequency is monitored regularly, so that operation faults caused by signal interruption of the intelligent furniture and the instruction sending end due to network connection faults are avoided, and meanwhile, the execution condition of the instruction is detected under the network connection operation condition, so that the execution of the intelligent furniture is effectively ensured to meet the expected operation effect of the instruction sending end.
Further, the supervision unit in the invention compares and determines the command signals received by the intelligent furniture with the existing command signals in the command storage database, translates the command signals, and judges whether the command signals are identical with the command sent by the signal according to the preset translation result and the execution state of the intelligent furniture, so that the command errors caused by signal transmission or faults of untransmitted and unreceived commands can be identified, and the accuracy of fault detection is improved.
Furthermore, the first network connection monitoring unit and the second network connection monitoring unit are provided with the ports and the detectors corresponding to the wires and the wireless mode, so that the communication states of the two modes can be directly detected, the detection process is optimized, and the detection flow is simpler and faster.
Further, the state monitoring unit obtains the command signals received by the intelligent furniture, detects the action execution state of the corresponding intelligent furniture, and compares the obtained command signals with the action completion state of the intelligent furniture by using the comparator after detection to judge whether the running state of the intelligent furniture accords with the preset result corresponding to the command, so that the accuracy of fault detection is improved.
Further, the fault analysis unit sets the network activation strategy, executes the command signal matching strategy and executes the command matching strategy, and sets the corresponding network activation strategy for the wired network and the wireless network respectively, so that the detection process has different strategies for different connection modes and different strategies for different detection direction facilities, the detection efficiency is improved, and the accuracy of intelligent furniture fault judgment is improved.
Further, the fault analysis unit in the invention checks the instruction sending end under the condition that the state detection unit detects the running state of the intelligent furniture, and the fault analysis unit is used for determining the execution result standard of the intelligent furniture according to the checking result, so that the problem of misjudgment caused by the fact that a user sends an error instruction is avoided, and the accuracy of fault analysis is ensured.
Furthermore, the fault learning unit determines the network connection activation frequency according to the historical fault information, periodically or regularly detects whether the intelligent furniture has faults, and improves the working efficiency of the fault analysis system.
Further, the signal receiving detector can receive infrared signals, bluetooth signals or WIFI signals of intelligent furniture and command signals transmitted by the signal transmitting end, and meanwhile, the signal receiving detector can receive various signals, so that components of a system can be simplified, and the system can work more efficiently.
Further, according to the intelligent furniture detecting device, the state monitoring unit is arranged to receive the instruction signals obtained by the detector according to the set signals, intelligent furniture action execution state information detected by the action detector is matched and transmitted to the monitoring unit to be detected, and the instruction communication receiver is arranged to detect the intelligent furniture instruction receiving state, so that the accuracy of fault detection is improved.
Furthermore, the network activation unit is provided with the wired docking module and the wireless wired docking module which respectively transmit the activation strategy aiming at the wired network and the wireless network, so that the applicability to intelligent furniture is improved, the intelligent furniture can be matched with various intelligent furniture systems for use, and the practicability of the fault detection system is further improved.
Drawings
FIG. 1 is a block diagram of a system for analyzing a fault in networked control operation of intelligent furniture according to an embodiment of the invention;
FIG. 2 is a schematic diagram of a status monitoring unit according to an embodiment of the invention;
in the figure: 1, intelligent furniture; 2, an instruction signal receiver; 3, a state monitoring unit; 31, a signal receiving detector; 32, an action detector.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, a block diagram of an intelligent furniture networking control operation fault analysis system according to an embodiment of the invention is shown.
The invention provides an intelligent furniture networking control operation fault analysis system, which comprises:
the first networking monitoring unit is connected with the intelligent furniture through a wired network port and is used for acquiring the communication state of the wired network through first detection;
the second network monitoring unit is connected with a signal sending end of the wireless network of the intelligent furniture and used for acquiring the communication state of the wireless network through second detection;
the network activation unit is respectively connected with the first network connection monitoring unit and the second network connection monitoring unit and is used for controlling the connection states of a wired network and a wireless network;
the state monitoring unit is arranged at the instruction execution end of each intelligent furniture and used for acquiring the instruction receiving state of each intelligent furniture and the instruction finishing state of each intelligent furniture through a preset channel;
the monitoring unit is respectively connected with the state monitoring unit and the instruction sending end of the intelligent furniture, and is used for determining a preset execution result of the intelligent furniture according to the control instruction sent by the instruction sending end and judging whether the intelligent furniture has operation faults according to the consistency of the instruction completion state of each intelligent furniture and the preset execution result;
The fault analysis unit is respectively connected with the supervision unit, the first network connection monitoring unit, the second network connection monitoring unit and the instruction sending end of the intelligent furniture and is used for sequentially controlling the network activation unit to execute a network activation strategy to determine a communication state under the condition of operation faults, determining whether the intelligent furniture has the network faults according to the communication state, judging whether the intelligent furniture has the signal receiving faults according to the instruction receiving states of the intelligent furniture obtained by the state monitoring unit, and sending an instruction checking signal to the instruction sending end under the condition of network connection operation so as to determine whether the instruction sending end has the instruction matching faults;
the fault learning unit is connected with the fault analysis unit and used for storing the occurrence time and the fault type of each fault, adjusting the network connection activation frequency according to the historical faults and detecting the faults of the intelligent furniture at regular time according to the network connection activation frequency;
the intelligent furniture control system comprises a preset channel, a network connection operation condition, a first detection and a second detection, wherein the preset channel is a signal transmission channel in an instruction receiving state, the operation fault condition is that the instruction completion state of any intelligent furniture is inconsistent with a preset execution result, the network connection operation condition is that the intelligent furniture has no network fault, the first detection is networking direct detection connection state, the second detection is feedback detection, and detection is carried out by sending a detection instruction signal to the intelligent furniture and receiving feedback of the detection instruction signal.
In a specific implementation process, the network control operation fault analysis system can continuously or periodically monitor the operation state of intelligent furniture, detect and analyze whether the intelligent furniture has faults, firstly, the state detection unit obtains the instruction execution state of each intelligent furniture and the instruction receiving state of each intelligent furniture, the supervision unit judges whether the intelligent furniture has faults according to the detection result of the execution state and whether the instructions sent by the intelligent furniture are consistent, when the faults occur, the fault analysis unit sends the instructions to the network activation unit to execute the corresponding activation strategy to determine the communication state, the network activation unit sends the instructions contained by the corresponding activation strategy to the corresponding network monitoring unit to monitor the network communication state, and judges whether the instruction sending end has the instruction matching faults and judges whether the intelligent furniture execution signal receiver has the signal receiving faults; after the intelligent furniture fault detection is completed, the fault learning unit records and learns the information of the fault, determines the network connection activation frequency according to the historical fault information and periodically or regularly performs fault analysis, so that the intelligent furniture can work in a normal working state.
The invention directly detects the communication state of the wired network by arranging the first network monitoring unit; the communication state of the wireless network is detected through the feedback of the second network monitoring unit; controlling the connection state of a wired network and a wireless network by setting a network activation unit; acquiring an instruction execution state of the intelligent furniture through a setting state monitoring unit; judging whether the intelligent furniture has faults or not according to the detection result by arranging a supervision unit; judging whether the intelligent furniture has network faults or instruction matching faults by arranging a fault analysis unit; the network connection activation frequency is determined by setting the fault learning unit to record and learn the historical fault information, and the network connection activation frequency is monitored regularly, so that operation faults caused by signal interruption of the intelligent furniture and the instruction sending end due to network connection faults are avoided, and meanwhile, the execution condition of the instruction is detected under the network connection operation condition, so that the execution of the intelligent furniture is effectively ensured to meet the expected operation effect of the instruction sending end.
Specifically, the supervision unit comprises an instruction storage database, an instruction signal acquisition module, a translation module and an instruction state matching module, wherein:
The instruction storage database stores all instruction signals which can be received by the corresponding intelligent furniture and instruction information corresponding to each instruction signal;
the instruction signal acquisition module is used for acquiring an instruction signal sent to the corresponding intelligent furniture by the instruction sending end through establishing a signal channel with the instruction sending end of the intelligent furniture and serving as comparison source data of the working state of the intelligent furniture;
the translation module is respectively connected with the instruction storage database and the instruction signal acquisition module and used for translating a preset execution result corresponding to the intelligent furniture execution function according to the instruction signal of the instruction sending end;
the instruction state matching module is used for matching the preset execution result translated by the translation module with the action completion state of the corresponding intelligent furniture to determine the instruction completion state of the intelligent furniture.
In a specific implementation process, the instruction storage database contains all instruction signals which can be received by each intelligent furniture in the intelligent furniture network and instruction information which is executed correspondingly, each instruction information has a corresponding execution function and a preset action result of the corresponding function, the instruction signal acquisition module can establish a signal channel with an instruction sending end of the intelligent furniture in a wired connection mode or a wireless signal connection mode, and receive the instruction signals of the instruction sending end of the intelligent furniture, for example, the instruction signals can be set according to specific application scenes through infrared signals, electromagnetic signals or optical signals, and any mode in the prior art is adopted, so that the method is not limited.
According to the invention, the supervision unit obtains the command signal received by the intelligent furniture, compares the command signal with the existing command signal in the command storage database to determine, translates the command signal, and judges whether the command signal is identical with the command sent by the intelligent furniture according to the preset translation result, so that the command error caused by signal transmission or the faults of untransmitted and unreceived commands can be identified, and the accuracy of fault detection is improved.
Specifically, the first network connection monitoring unit comprises a hardware connection detector arranged at the wired network port and used for detecting the plugging state of the wired network port, and a network connection detector arranged at one side of the output end of the wired network port and used for detecting the network communication state.
The second network connection monitoring unit comprises a hardware connection detector arranged at the wireless network port and used for detecting the running state of the wireless network port, and a network connection detector arranged at one side of the output end of the wireless network port and used for detecting the network communication state.
In the specific implementation process, the first network connection monitoring unit is directly connected with a wired network port of the intelligent furniture, the communication state is directly detected according to the received detection instruction, the second network connection monitoring unit is connected with a wireless network port of the intelligent furniture, and the communication state is detected by using an indirect detection mode of feedback detection according to the received detection instruction.
According to the invention, the first network connection monitoring unit and the second network connection monitoring unit are provided with the ports and the detectors corresponding to the wired and wireless mode, so that the communication states of the two modes can be directly detected, the detection process is optimized, and the detection flow is simpler and faster.
Referring to fig. 2, a schematic diagram of a status monitoring unit according to an embodiment of the invention is shown.
Specifically, the state monitoring unit 3 includes a signal receiving detector 31, an action detector 32, and an comparator:
the signal receiving detector 31 is connected with the command signal receiver 2 of the intelligent furniture 1 through a preset channel, and is used for acquiring a command signal sent by the command sending end to the command receiving end of the intelligent furniture;
the motion detector 32 is connected with the signal receiving detector 31, and is arranged at a motion executing mechanism of the intelligent furniture 1, and is used for detecting a motion completion state of the corresponding intelligent furniture in a command receiving state;
the comparator is respectively connected with the signal receiving detector and the action detector 32 and is used for determining the instruction completion state of the intelligent furniture according to the instruction signal transmitted by the intelligent furniture instruction receiving end and the action completion state made by the intelligent furniture 1 in the instruction receiving state;
The instruction receiving state is that the signal receiving detector receives a transmitted instruction signal corresponding to the intelligent furniture instruction receiving end.
In the specific implementation process, the signal receiving detector transmits the acquired instruction information to the instruction signal acquisition module of the supervision unit, the action detector detects the corresponding action completion state of the intelligent furniture and transmits the corresponding action completion state of the intelligent furniture to the instruction state matching module of the supervision unit, the intelligent furniture running state is detected according to the translation result of the supervision unit and the determined execution result standard, the comparator is arranged inside the state detection unit and is generally set as a logic operation element, the instruction completion state of the intelligent furniture is judged according to the comparison and judgment of the instruction signal transmitted by the instruction receiving end of the intelligent furniture and the action completion state made by the intelligent furniture, and it is understood that the instruction completion state is used for judging the matching state of the instruction signal received by the instruction signal receiving end of the intelligent furniture and the action executed by the execution end of the intelligent furniture, if the intelligent furniture is matched, the executing end of the intelligent furniture can correctly understand the received instruction signals and make corresponding actions, if the intelligent furniture is not matched, the executing end of the intelligent furniture cannot make actions corresponding to the received instruction signals, or the executing end has execution faults, or the instruction signals transmitted to the executing end by the instruction signal receiver of the intelligent furniture have errors, in order to overcome the situation of the intelligent furniture, the signal receiving detector is connected with the instruction signal receiver of the intelligent furniture by adopting a mode with stronger signal connection strength, preferably, the signal receiving detector is connected by adopting an ultra-short distance or fixedly connected physically connected signal transmission mode, and signal transmission errors are avoided.
According to the intelligent furniture fault detection method, the state monitoring unit obtains the command signals received by the intelligent furniture, detects the action execution state of the corresponding intelligent furniture, and compares the obtained command signals with the action completion state of the intelligent furniture by using the comparator after detection, so that whether the running state of the intelligent furniture accords with a preset result is judged, and the fault detection accuracy is improved.
Specifically, the fault analysis unit is provided with a network fault detection strategy, which comprises the following steps:
the network activation strategy is used for controlling the network activation unit to carry out networking detection on the network connection state of the intelligent furniture, and comprises a wired network activation strategy and a wireless network activation strategy;
executing a signal matching strategy, wherein the signal matching strategy is used for controlling the state monitoring unit to feed back the instruction receiving state of the corresponding intelligent furniture, and performing signal matching detection according to the instruction receiving state of the intelligent furniture and a control instruction sent by an instruction sending end;
and executing an instruction matching strategy, wherein the instruction matching strategy is used for controlling the state monitoring unit to feed back the instruction completion state of the corresponding intelligent furniture, and performing matching detection according to the control instruction sent by the instruction sending end and the actual execution result of the intelligent furniture.
In the specific implementation process, the fault analysis unit sends out a network activation strategy to the network activation unit according to the received fault, respectively sends out a wired network activation strategy to the first network connection monitoring unit or sends out a wireless network activation strategy to the second network connection monitoring unit, and simultaneously, the fault analysis unit sends out a signal for activating an execution instruction matching strategy to the instruction sending end of the intelligent furniture, and sends out a signal for activating the execution instruction signal matching strategy to the intelligent furniture execution signal receiver, so that whether the instruction sending end of the intelligent furniture has an instruction matching fault or not is directionally monitored.
The network activation strategy is used for detecting the network connection state of the intelligent furniture, the execution signal matching strategy is used for detecting the consistency of the sending and receiving signals, and the execution instruction matching strategy is used for detecting the consistency of the sending instruction and the execution result.
According to the invention, the fault analysis unit is provided with a network activation strategy, an execution instruction signal matching strategy and an execution instruction matching strategy, and corresponding network activation strategies are respectively set for the wired network and the wireless network, so that different strategies are provided for different connection modes in the detection process, different strategies are provided for different detection direction facilities, the detection efficiency is improved, and the accuracy of intelligent furniture fault judgment is improved.
Specifically, the fault analysis unit sends an instruction verification signal to the instruction sending end in a first instruction completion state, and determines an execution result standard of the intelligent furniture according to a matching result of the received instruction signal sent by the instruction sending end and the verification signal;
the first instruction completion state is that the comparator judges that an instruction signal transmitted by the intelligent furniture instruction receiving end is matched with an action completion state made by the intelligent furniture.
In the specific implementation process, the instruction verification signal sent to the instruction sending end can be an instruction signal for requesting to resend the action completion state corresponding to the action completion state made by the intelligent furniture, or can be a verification code of the instruction signal corresponding to the action completion state made by the intelligent furniture, so long as the function of matching and verifying with the instruction signal of the instruction sending end can be realized; the received instruction signal sent by the instruction sending end is a matching signal for the verification signal.
On the one hand, the check signal can determine whether the signal transmission between the instruction sending end and the fault analysis unit is normal or not, and further checks the networking state.
It can be understood that if the matching result of the received instruction signal sent by the instruction sending end and the verification signal is matching, the execution result standard of the intelligent furniture is the instruction signal sent by the instruction sending end, and at this time, the preset execution result is determined by the instruction signal sent by the instruction sending end;
if the matching result of the command signal sent by the command sending end and the check signal is not matched, at the moment, judging that the command sending end has the command dispatching fault, and the execution result standard of the intelligent furniture does not exist.
The execution result standard must be an instruction signal which corresponds to the state that the intelligent furniture can normally receive and execute to obtain normal operation, so that each intelligent furniture in the intelligent furniture network can work under normal working conditions.
According to the invention, the fault analysis unit checks the instruction sending end under the condition that the state detection unit detects the running state of the intelligent furniture, and the checking result is used as an execution result standard for determining the intelligent furniture, so that the problem of misjudgment caused by the fact that a user sends out an error instruction is avoided, and the accuracy of fault analysis is ensured.
Specifically, the fault learning unit determines the network connection activation frequency according to the occurrence times of the historical operation faults, or determines the network connection activation frequency according to the percentage of the network faults of the historical operation faults to all the faults.
In a specific implementation process, after determining the network connection activation frequency, determining the periodic or timed operation time of the fault analysis system, it can be understood that the preset time length of the historical fault can be any time length, in an implementation process, the preset time length can be 7 days, 30 days or 100 days, and the timed operation time can also be 20:00 in the evening, 8:00 in the morning or 10:00 in the evening.
Wherein the occurrence times of the historical operation faults are positively correlated with the network connection activation frequency, and particularly, the occurrence times of the network faults and the signal receiving faults in the historical operation faults are positively correlated with the network connection activation frequency;
alternatively, the percentage of network failures that are historical operational failures over all failures is positively correlated with the network-linked activation frequency.
According to the invention, the fault learning unit determines the network connection activation frequency according to the historical fault information, periodically or regularly detects whether the intelligent furniture has faults, and improves the working efficiency of the fault analysis system.
Specifically, the signal receiving detector is provided with a signal receiving device, and is used for receiving an infrared signal, a Bluetooth signal or a WIFI signal transmitted by a signal transmitting end of the intelligent furniture execution signal receiver and receiving an instruction signal transmitted by the signal transmitting end.
The signal receiving detector can receive infrared signals, bluetooth signals or WIFI signals of the intelligent furniture, is used for being matched with the signal transmitting end of the execution signal receiver of the intelligent furniture to receive instruction signals transmitted by the signal transmitting end, and the infrared signals, the Bluetooth signals or the WIFI signals are all short-distance signals in a transmission mode, so that the accuracy rate of signal transmission is high, the tolerance to environmental changes of a working scene is high, and the intelligent furniture is more stable and reliable.
Specifically, the supervision unit translates a preset execution result of a corresponding execution function according to a received instruction sending end instruction signal, compares the action completion state with the preset execution result, and judges whether the intelligent furniture has an operation fault or not;
if the action completion state belongs to a preset execution result, the supervision unit judges that the instruction execution state is consistent with the execution result, and the intelligent furniture runs normally;
if the action completion state does not belong to the preset execution result, the supervision unit judges that the instruction execution state is inconsistent with the execution result, and the intelligent furniture has operation faults, specifically comprising:
judging that the intelligent furniture operation fault is a signal receiving fault in the first instruction completion state;
Judging the intelligent furniture operation fault as an execution fault in a second instruction completion state;
the second instruction completion state is that an instruction signal received by the intelligent furniture is not matched with a preset execution result.
In the implementation process, the detection content of the execution state may be the action of the intelligent furniture, such as the working path or the working area of the sweeping robot, the indoor illumination intensity, the indoor temperature or the air quality, etc., which are not particularly limited herein, and are determined according to the intelligent furniture included in the system.
According to the intelligent furniture fault detection system, the state monitoring unit receives the instruction signals obtained by the detector according to the set signals, the intelligent furniture motion execution state information detected by the motion detector is matched and transmitted to the monitoring unit for detection, and the instruction communication receiver is arranged for detecting the intelligent furniture instruction receiving state, so that the fault detection accuracy is improved.
Specifically, the network activation unit includes a wired docking module and a wireless docking module, where:
the wired docking module is arranged corresponding to the first networking monitoring unit and used for transmitting a wired network activation strategy to the first networking monitoring unit for connection control;
The wireless docking module is correspondingly arranged with the second network connection monitoring unit and is used for transmitting the wireless network activation strategy to the second network connection monitoring unit for connection control.
According to the intelligent furniture system, the network activation unit is provided with the wired docking module and the wireless wired docking module to respectively transmit the activation strategy for the wired network and the wireless network, so that the applicability to intelligent furniture is improved, the intelligent furniture system can be matched with various intelligent furniture systems for use, and the practicability of the fault detection system is further improved.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. An intelligent furniture networked control operation fault analysis system, comprising:
the first networking monitoring unit is connected with the intelligent furniture through a wired network port and is used for acquiring the communication state of the wired network through first detection;
the second network monitoring unit is connected with a signal sending end of the wireless network of the intelligent furniture and used for acquiring the communication state of the wireless network through second detection;
the network activation unit is respectively connected with the first network connection monitoring unit and the second network connection monitoring unit and is used for controlling the connection states of a wired network and a wireless network;
the state monitoring unit is arranged at the instruction execution end of each intelligent furniture and used for acquiring the instruction receiving state of each intelligent furniture and the instruction finishing state of each intelligent furniture through a preset channel;
the monitoring unit is respectively connected with the state monitoring unit and the instruction sending end of the intelligent furniture, and is used for determining a preset execution result of the intelligent furniture according to the control instruction sent by the instruction sending end and judging whether the intelligent furniture has operation faults according to the consistency of the instruction completion state of each intelligent furniture and the preset execution result;
The fault analysis unit is respectively connected with the supervision unit, the first network connection monitoring unit, the second network connection monitoring unit and the instruction sending end of the intelligent furniture and is used for sequentially controlling the network activation unit to execute a network activation strategy to determine a communication state under the condition of operation faults, determining whether the intelligent furniture has the network faults according to the communication state, judging whether the intelligent furniture has the signal receiving faults according to the instruction receiving states of the intelligent furniture obtained by the state monitoring unit, and sending an instruction checking signal to the instruction sending end under the condition of network connection operation so as to determine whether the instruction sending end has the instruction matching faults;
the fault learning unit is connected with the fault analysis unit and used for storing the occurrence time and the fault type of each fault, adjusting the network connection activation frequency according to the historical faults and detecting the faults of the intelligent furniture at regular time according to the network connection activation frequency;
the network connection operation condition is that the intelligent furniture does not have network faults, the first detection is networking direct detection connection state, the second detection is feedback detection, and detection instruction signals are sent to the intelligent furniture and feedback is received for detection;
The supervision unit comprises an instruction storage database, an instruction signal acquisition module, a translation module and an instruction state matching module, wherein:
the instruction storage database stores all instruction signals which can be received by the corresponding intelligent furniture and instruction information corresponding to each instruction signal;
the instruction signal acquisition module is used for acquiring an instruction signal sent to the corresponding intelligent furniture by the instruction sending end through establishing a signal channel with the instruction sending end of the intelligent furniture and serving as comparison source data of the working state of the intelligent furniture;
the translation module is respectively connected with the instruction storage database and the instruction signal acquisition module and used for translating a preset execution result corresponding to the intelligent furniture execution function according to the instruction signal of the instruction sending end;
the instruction state matching module is used for matching the preset execution result translated by the translation module with the action completion state of the corresponding intelligent furniture to determine the instruction completion state of the intelligent furniture;
the first network connection monitoring unit comprises a hardware connection detector arranged at the wired network port and used for detecting the plugging state of the wired network port, and a network connection detector arranged at one side of the output end of the wired network port and used for detecting the network communication state;
The second network connection monitoring unit comprises a hardware connection detector arranged at the wireless network port and used for detecting the running state of the wireless network port, and a network connection detector arranged at one side of the output end of the wireless network port and used for detecting the network communication state;
the state monitoring unit comprises a signal receiving detector, a motion detector and a comparator:
the signal receiving detector is connected with the instruction signal receiver of the intelligent furniture through a preset channel and is used for acquiring an instruction signal sent by the instruction sending end to the instruction receiving end of the intelligent furniture;
the motion detector is connected with the signal receiving detector and is arranged at a motion executing mechanism of the intelligent furniture and used for detecting a motion completion state of the corresponding intelligent furniture in a command receiving state;
the comparator is respectively connected with the signal receiving detector and the action detector and is used for determining the instruction completion state of the intelligent furniture according to the instruction signal transmitted by the instruction receiving end of the intelligent furniture and the action completion state made by the intelligent furniture in the instruction receiving state;
the instruction receiving state is that the signal receiving detector receives a transmitted instruction signal corresponding to the intelligent furniture instruction receiving end.
2. The intelligent furniture networked control operation fault analysis system according to claim 1, wherein a networked fault troubleshooting strategy is provided in the fault analysis unit, comprising:
the network activation strategy is used for controlling the network activation unit to carry out networking detection on the network connection state of the intelligent furniture, and comprises a wired network activation strategy and a wireless network activation strategy;
executing a signal matching strategy, wherein the signal matching strategy is used for controlling the state monitoring unit to feed back the instruction receiving state of the corresponding intelligent furniture, and performing signal matching detection according to the instruction receiving state of the intelligent furniture and a control instruction sent by an instruction sending end;
and executing an instruction matching strategy, wherein the instruction matching strategy is used for controlling the state monitoring unit to feed back the instruction completion state of the corresponding intelligent furniture, and performing matching detection according to the control instruction sent by the instruction sending end and the actual execution result of the intelligent furniture.
3. The intelligent furniture networking control operation fault analysis system according to claim 2, wherein the fault analysis unit sends an instruction verification signal to the instruction sending end in a first instruction completion state and determines an execution result standard of the intelligent furniture according to a matching result of the received instruction signal sent by the instruction sending end and the verification signal;
The first instruction completion state is that the comparator judges that an instruction signal transmitted by the intelligent furniture instruction receiving end is matched with an action completion state made by the intelligent furniture.
4. The intelligent furniture networked control operation fault analysis system according to claim 1, wherein the fault learning unit determines the network activation frequency according to the occurrence number of the historical operation faults or determines the network activation frequency according to the percentage of the network faults of the historical operation faults to the total faults.
5. The intelligent furniture networking control operation fault analysis system according to claim 1, wherein the signal receiving detector is provided with a signal receiving device for receiving an infrared signal, a bluetooth signal or a WIFI signal transmitted by a signal transmitting end of the intelligent furniture executing signal receiver and receiving an instruction signal transmitted by the signal transmitting end.
6. The intelligent furniture networked control operation fault analysis system according to claim 3, wherein the supervision unit translates a preset execution result of a corresponding execution function according to a received instruction sending end instruction signal, compares the action completion state with the preset execution result, and judges whether the intelligent furniture has an operation fault;
If the action completion state belongs to a preset execution result, the supervision unit judges that the instruction execution state is consistent with the execution result, and the intelligent furniture runs normally;
if the action completion state does not belong to the preset execution result, the supervision unit judges that the instruction execution state is inconsistent with the execution result, and the intelligent furniture has operation faults, specifically comprising:
judging that the intelligent furniture operation fault is a signal receiving fault in the first instruction completion state;
judging the intelligent furniture operation fault as an execution fault in a second instruction completion state;
the second instruction completion state is that an instruction signal received by the intelligent furniture is not matched with a preset execution result.
7. The intelligent furniture networked control operational failure analysis system of claim 1, wherein the network activation unit includes a wired docking module and a wireless docking module, wherein:
the wired docking module is arranged corresponding to the first networking monitoring unit and used for transmitting a wired network activation strategy to the first networking monitoring unit for connection control;
the wireless docking module is correspondingly arranged with the second network connection monitoring unit and is used for transmitting the wireless network activation strategy to the second network connection monitoring unit for connection control.
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| CN104917632B (en) * | 2015-04-16 | 2018-11-02 | 小米科技有限责任公司 | The detection method and device for channel status of networking, electronic equipment |
| WO2022030814A1 (en) * | 2020-08-07 | 2022-02-10 | 삼성전자 주식회사 | Method for managing wireless connection of electronic device, and apparatus therefor |
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| CN108199874A (en) * | 2017-12-29 | 2018-06-22 | 上海司南卫星导航技术股份有限公司 | A kind of Network Fault Detection and method, GNSS receiver and the computer-readable medium repaired |
| WO2020063280A1 (en) * | 2018-09-27 | 2020-04-02 | 北京全路通信信号研究设计院集团有限公司 | Train-ground integrated comprehensive analysis platform |
| CN114978870A (en) * | 2022-07-29 | 2022-08-30 | 深圳市天翊瑞霖智能科技有限公司 | Hardware equipment running state monitoring system based on intelligent gateway |
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