CN115174616B - Abnormality prompting method, abnormality prompting device, abnormality prompting terminal and storage medium - Google Patents
Abnormality prompting method, abnormality prompting device, abnormality prompting terminal and storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 61
- 230000005856 abnormality Effects 0.000 title claims abstract description 39
- 238000003745 diagnosis Methods 0.000 claims abstract description 51
- 238000004092 self-diagnosis Methods 0.000 claims abstract description 48
- 230000002159 abnormal effect Effects 0.000 claims abstract description 47
- 230000008569 process Effects 0.000 claims abstract description 21
- 230000026676 system process Effects 0.000 claims abstract description 8
- 230000006698 induction Effects 0.000 claims description 39
- 238000004891 communication Methods 0.000 claims description 15
- 230000002093 peripheral effect Effects 0.000 claims description 15
- 238000004590 computer program Methods 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 238000001514 detection method Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 238000013500 data storage Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y20/00—Information sensed or collected by the things
- G16Y20/20—Information sensed or collected by the things relating to the thing itself
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/20—Analytics; Diagnosis
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Abstract
The application discloses an abnormality prompting method, an abnormality prompting device, a terminal and a storage medium, wherein the abnormality prompting method comprises the following steps: the controller of the Internet of things senses the state of the closing device through the sensing system, generates corresponding state data based on the state, and sends the state data to the self-diagnosis system; the self-diagnosis system processes the state data to obtain a diagnosis result and sends the diagnosis result to the main processor; and the main processor processes the diagnosis result to obtain the abnormal prompt information of the closing device. According to the invention, the Internet of things controller is arranged in the closing device, and the state of the closing device is monitored in real time through the Internet of things controller, if the closing device is abnormal, abnormal prompt information is timely output, so that a background or an administrator can overhaul in time, and risks and losses are fundamentally avoided.
Description
Technical Field
The application relates to the technical field of closing device detection, in particular to an abnormality prompting method, an abnormality prompting device, a terminal and a storage medium.
Background
Various closed spaces exist in life, and the closed spaces need to be closed by closing devices, such as closed doors of various tank bodies, well covers of sewer, well covers of circuit pipelines, closed doors of water outlets and the like, and if various closing devices are damaged but not found in time, serious consequences can be caused. Therefore, how to prompt or prompt the closing device in time when the closing device has a problem so as to facilitate the timely maintenance and avoid serious personal and property loss is a problem to be solved urgently.
At present, various closing devices in life are basically realized by a simple mechanical structure, and manual regular inspection is needed to reduce various risks and losses as much as possible.
However, manual regular inspection cannot be timely reminded when a closed device has a problem, so that the closed device cannot be timely overhauled, and risks and losses cannot be fundamentally avoided.
Disclosure of Invention
The main objective of the present application is to provide an anomaly prompting method, device, terminal and storage medium, so as to solve the problem that the closing device cannot be timely reminded when the closing device has a problem in the related art.
In order to achieve the above object, in a first aspect, the present application provides an anomaly prompting method, including:
an internet of things controller is arranged in the closing device and at least comprises an induction system, a self-diagnosis system and a main processor;
the controller of the Internet of things senses the state of the closing device through the sensing system, generates corresponding state data based on the state, and sends the state data to the self-diagnosis system;
the self-diagnosis system processes the state data to obtain a diagnosis result and sends the diagnosis result to the main processor;
and the main processor processes the diagnosis result to obtain the abnormal prompt information of the closing device.
In one possible implementation, the states include a damaged state and a closed state; the status data includes damage status data and closure status data; the induction system comprises a sending module, a receiving module and a contact sensor;
the state of the closed device is sensed by the controller of the internet of things through the sensing system, corresponding state data is generated based on the state, and the state data is sent to the self-diagnosis system, and the method comprises the following steps:
the receiving module receives the damage state of the closing device through the induction coil, generates corresponding damage state data based on the damage state and sends the damage state data to the self-diagnosis system, wherein the induction coil is arranged in the closing device;
the touch sensor senses a closing state of the closing device, generates corresponding closing state data based on the closing state, and transmits the closing state data to the self-diagnosis system.
In one possible implementation, the self-diagnosis system processes the status data to obtain a diagnosis result, and sends the diagnosis result to the main processor, including:
the self-diagnosis system judges the abnormality of the data in the damage state data and the closure state data to obtain a diagnosis result, and sends the diagnosis result to the main processor.
In one possible implementation, the main processor processes the diagnosis result to obtain the abnormality prompting information of the closing device, including:
the main processor identifies the diagnosis result, and if abnormal data exists in the diagnosis result, generates abnormal prompt information based on the abnormal data.
In one possible implementation manner, the abnormality prompt information at least includes a control instruction corresponding to the abnormality result, and the controller of the internet of things at least includes a peripheral system;
the method further comprises the steps of:
and the main processor sends a control instruction corresponding to the abnormal result to the peripheral system so that the peripheral system executes alarm operation based on the control instruction.
In one possible implementation, the anomaly prompt message includes at least an anomaly result, and the controller of the internet of things includes at least a communication system and a storage system;
the method further comprises the steps of:
the host processor sends the exception result to the server or client via the communication system,
the storage system stores the operation data of the main processor.
In one possible implementation, the closing device further comprises:
the solar cell panel comprises a closed body, an alarm device, an induction coil, a contact terminal, a transparent shell, a solar cell panel, a spring and a contact sensor;
the concave inner wall of the closed body is connected with the closed device through a connecting structure, the contact sensor is arranged around the closed device, the alarm device is arranged at the top of the closed device, the center of the closed device is embedded with a groove, the groove is connected with the closed device through a transparent shell, a solar cell panel is arranged in the groove, a spring is connected with the closed device and the contact terminal, and two ends of the induction coil are respectively electrically connected with the controller of the Internet of things.
In a second aspect, an embodiment of the present invention provides an abnormality notification apparatus, including:
an internet of things controller is arranged in the closing device and at least comprises an induction system, a self-diagnosis system and a main processor;
the state data generation module is used for sensing the state of the closing device through the sensing system by the controller of the Internet of things, generating corresponding state data based on the state and sending the state data to the self-diagnosis system;
the diagnosis module is used for processing the state data by the self-diagnosis system to obtain a diagnosis result and sending the diagnosis result to the main processor;
and the prompt information generation module is used for processing the diagnosis result by the main processor to obtain the abnormal prompt information of the closing device.
In a third aspect, an embodiment of the present invention provides a terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of any of the above anomaly prompting methods when the processor executes the computer program.
In a fourth aspect, embodiments of the present invention provide a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of any of the anomaly notification methods described above.
The embodiment of the invention provides an abnormality prompting method, an abnormality prompting device, a terminal and a storage medium, wherein the abnormality prompting method comprises the following steps: the method comprises the steps that an Internet of things controller senses the state of a closing device through an induction system, generates corresponding state data based on the state, sends the state data to a self-diagnosis system, processes the state data through the self-diagnosis system to obtain a diagnosis result, sends the diagnosis result to a main processor, and finally the main processor processes the diagnosis result to obtain abnormal prompt information of the closing device. According to the invention, the Internet of things controller is arranged in the closing device, and the state of the closing device is monitored in real time through the Internet of things controller, if the closing device is abnormal, abnormal prompt information is timely output, so that a background or an administrator can overhaul in time, and risks and losses are fundamentally avoided.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, are included to provide a further understanding of the application and to provide a further understanding of the application with regard to the other features, objects and advantages of the application. The drawings of the illustrative embodiments of the present application and their descriptions are for the purpose of illustrating the present application and are not to be construed as unduly limiting the present application. In the drawings:
FIG. 1 is a flowchart of an implementation of an anomaly prompting method provided by an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an internet of things controller according to an embodiment of the present invention;
FIG. 3 is a top view of a closure device provided by an embodiment of the present invention;
FIG. 4 is a cross-sectional view in the A-A direction of a closure device provided in an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an abnormality notification apparatus according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a terminal according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein.
It should be understood that, in various embodiments of the present invention, the sequence number of each process does not mean that the execution sequence of each process should be determined by its functions and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
It should be understood that in the present invention, "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements that are expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in the present invention, "plurality" means two or more. "and/or" is merely an association relationship describing an association object, and means that three relationships may exist, for example, and/or B may mean: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship. "comprising A, B and C", "comprising A, B, C" means that all three of A, B, C comprise, "comprising A, B or C" means that one of the three comprises A, B, C, and "comprising A, B and/or C" means that any 1 or any 2 or 3 of the three comprises A, B, C.
It should be understood that in the present invention, "B corresponding to a", "a corresponding to B", or "B corresponding to a" means that B is associated with a, from which B can be determined. Determining B from a does not mean determining B from a alone, but may also determine B from a and/or other information. The matching of A and B is that the similarity of A and B is larger than or equal to a preset threshold value.
As used herein, "if" may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to detection" depending on the context.
The technical scheme of the invention is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the following description will be made by way of specific embodiments with reference to the accompanying drawings.
In one embodiment, as shown in fig. 1, an anomaly prompting method is provided, which includes the following steps:
step S101: the controller of the Internet of things senses the state of the closing device through the sensing system, generates corresponding state data based on the state, and sends the state data to the self-diagnosis system;
step S102: the self-diagnosis system processes the state data to obtain a diagnosis result and sends the diagnosis result to the main processor;
step S103: and the main processor processes the diagnosis result to obtain the abnormal prompt information of the closing device.
According to the invention, the Internet of things controller is arranged in the closing device, and the state of the closing device is directly perceived through the Internet of things controller, so that the state is further processed to determine the abnormal prompt information of the closing device. The abnormal prompt information comprises an abnormal result and a control instruction corresponding to the abnormal result.
Referring to fig. 2, the controller of the internet of things comprises an induction system, a self-diagnosis system and a main processor, wherein the induction system is in communication connection with the self-diagnosis system, the self-diagnosis system is in communication connection with the main processor, the state of the closing device is induced through the induction system, corresponding state data is generated based on the state and is sent to the self-diagnosis system, then the self-diagnosis system processes the state data to obtain a diagnosis result, the diagnosis result is sent to the main processor, and finally the main processor processes the diagnosis result to obtain an abnormal result of the closing device and a control instruction corresponding to the abnormal result, so that an maintainer overhauls the closing device in time, and risks are avoided.
The invention senses the state of the closing device through the sensing system to generate state data, and the step S101 is divided into two embodiments based on different states, and the method specifically comprises the following steps:
as shown in fig. 2, the sensing system includes a transmitting module, a receiving module and a contact sensor, and the sensing module, the receiving module and the contact sensor can sense the state of the closing device, generate corresponding state data based on the sensed state, and then send the state data to the self-diagnosis system so that the self-diagnosis system processes the state data.
In one embodiment, the receiving module senses a damaged state of the closing device through the sensing coil receiving and transmitting module, generates corresponding damaged state data based on the damaged state, and transmits the damaged state data to the self-diagnosis system.
For facilitating understanding of the present embodiment, the hardware structure of the closing device is described, and referring to fig. 2 to 4, the closing device 1 includes a closing body 2, an alarm device 11, an induction coil 12, a contact terminal 13, a transparent housing 14, a solar panel 15, an internet of things controller 16, a spring 17, and a contact sensor 18. The concave inner wall of the closure body 2 is connected with the closure device 1 through a connecting structure. The contact sensor 18 is arranged around the closing device 1, the alarm device 11 is arranged at the top of the closing device 1, the center of the closing device 1 is embedded with a groove, the groove is connected with the closing device 1 through the transparent shell 14, the solar panel 15 is arranged in the groove, the spring 17 is connected with the closing device 1 and the contact terminal 13, and two ends of the induction coil 12 are respectively electrically connected with the controller 16 of the Internet of things. The two ends of the induction coil 12 are respectively electrically connected with a transmitting module and a receiving module of an induction system in the controller 16 of the internet of things, and the transmitting module transmits signals (square waves, sine waves, etc.) according to a preset frequency, and the signals are transmitted to the receiving module through the induction coil 12.
Specifically, when the closing device 1 is damaged, the induction coil 12 is damaged or broken, and at this time, the receiving module receives an abnormal signal, that is, determines that the closing device 1 is in a damaged state, generates corresponding damaged state data based on the damaged state, and sends the damaged state data to the self-diagnosis system.
In another embodiment, the contact sensor senses a closed state of the closure device and generates corresponding closed state data based on the closed state and transmits the closed state data to the self-diagnostic system.
As shown in fig. 4, the closing device 1 and the closing body 2 need to be completely closed, and if the closing device 1 and the closing body 2 are not completely closed, a situation such as tilting or uneven occurs at this time, and there is a safety risk, so it is also necessary to detect whether the closing device 1 and the closing body 2 are completely closed, that is, to detect the closing state of the sensing closing device 1.
Specifically, by arranging a plurality of contact sensors around the induction closing device 1, when all the contact sensors send out contact signals, the invention indicates that the closing device 1 and the closing body 2 are completely closed, and when one of the contact sensors is not contacted, the invention indicates that the closing device 1 and the closing body 2 are not completely closed, at the moment, the contact sensors send abnormal data, namely closed state data, to the self-diagnosis system.
Based on the above embodiment, after the self-diagnosis system receives the damage state data and the closure state data, step S102-step S103 are executed, specifically, the self-diagnosis system performs abnormality judgment on the data in the damage state data and the closure state data, obtains a diagnosis result, and sends the diagnosis result to the main processor. And then, the main processor identifies the diagnosis result, and if abnormal data exists in the diagnosis result, generates abnormal prompt information based on the abnormal data. The abnormal prompt information comprises an abnormal result and a control instruction corresponding to the abnormal result, and the abnormal result comprises an abnormal report, abnormal information and the like.
The internet of things controller also includes a communication system in communication with the main processor. And under the condition that the abnormality prompt information is an abnormality result, the main processor sends the abnormality result to the server or the client through the communication system. The client may be a handheld device, such as a mobile phone. The communication system may also send various information to the host processor, such as system upgrade updates, control commands for the server, and so on.
The controller of the Internet of things further comprises a peripheral system, the peripheral system comprises an alarm lamp and a buzzer alarm, and the peripheral system is communicated with the main processor. And under the condition that the abnormality prompt information is a control instruction corresponding to an abnormality result, the main processor sends the control instruction to the peripheral system so that the peripheral system executes alarm operation based on the control instruction, for example, the peripheral system can complete corresponding operation according to the control instruction, for example, an alarm lamp is turned on, a buzzer alarm is turned on, and the like.
The controller of the Internet of things further comprises a storage system and a power supply system. The storage system stores operation data of the main processor. The power supply system comprises a rechargeable battery and a solar panel 15, wherein the solar panel 15 provides power for the whole Internet of things controller. When the weather condition is good, the power is supplied to the Internet of things controller, the rechargeable battery is charged, and when the weather condition is bad, the rechargeable battery supplies power to the whole Internet of things controller. In addition, referring to fig. 4, a transparent housing 14 is disposed above the solar cell panel 15, and the transparent housing 14 has a certain mechanical strength and is transparent, so that sunlight is convenient to charge the solar cell panel 15.
The embodiment of the invention provides an abnormality prompting method, which comprises the following steps: the method comprises the steps that an Internet of things controller senses the state of a closing device through an induction system, generates corresponding state data based on the state, sends the state data to a self-diagnosis system, processes the state data through the self-diagnosis system to obtain a diagnosis result, sends the diagnosis result to a main processor, and finally the main processor processes the diagnosis result to obtain abnormal prompt information of the closing device. According to the invention, the Internet of things controller is arranged in the closing device, and the state of the closing device is monitored in real time through the Internet of things controller, if the closing device is abnormal, abnormal prompt information is timely output, so that a background or an administrator can overhaul in time, and risks and losses are fundamentally avoided.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.
The following are device embodiments of the invention, for details not described in detail therein, reference may be made to the corresponding method embodiments described above.
Fig. 5 shows a schematic structural diagram of an abnormality presenting device according to an embodiment of the present invention, and for convenience of explanation, only shows a portion related to the embodiment of the present invention, and the abnormality presenting device includes a status data generating module 51, a diagnostic module 52, and a presenting information generating module 53, specifically as follows:
an internet of things controller is arranged in the closing device and at least comprises an induction system, a self-diagnosis system and a main processor;
the state data generating module 51 is configured to sense a state of the closing device through the sensing system by using the internet of things controller, generate corresponding state data based on the state, and send the state data to the self-diagnosis system;
the diagnostic module 52 is configured to process the status data by using the self-diagnostic system to obtain a diagnostic result, and send the diagnostic result to the main processor;
the prompt information generating module 53 is configured to process the diagnosis result by the main processor, and obtain abnormal prompt information of the closing device.
In one possible implementation, the states include a damaged state and a closed state; the status data includes damage status data and closure status data; the induction system comprises a sending module, a receiving module and a contact sensor;
the status data generation module 51 includes:
the first state data generation sub-module is used for receiving the damage state of the closing device sensed by the sensing module through the sensing coil, generating corresponding damage state data based on the damage state and sending the damage state data to the self-diagnosis system, wherein the sensing coil is arranged in the closing device;
the second state data generation sub-module is used for sensing the closing state of the closing device by the contact sensor, generating corresponding closing state data based on the closing state and sending the closing state data to the self-diagnosis system.
In one possible implementation, diagnostic module 52 includes:
the diagnosis sub-module is used for carrying out abnormality judgment on the data in the damage state data and the closed state data by the self-diagnosis system to obtain a diagnosis result and sending the diagnosis result to the main processor.
In one possible implementation, the hint information generating module 53 includes:
and the prompt information generation sub-module is used for identifying the diagnosis result by the main processor, and generating abnormal prompt information based on the abnormal data if the diagnosis result contains the abnormal data.
In one possible implementation manner, the abnormality prompt information at least includes a control instruction corresponding to the abnormality result, and the controller of the internet of things at least includes a peripheral system;
the method further comprises the steps of:
and the alarm module is used for sending a control instruction corresponding to the abnormal result to the peripheral system by the main processor so that the peripheral system executes alarm operation based on the control instruction.
In one possible implementation, the anomaly prompt message includes at least an anomaly result, and the controller of the internet of things includes at least a communication system and a storage system;
the method further comprises the steps of:
an abnormal result transmitting module for the main processor to transmit the abnormal result to the server or the client through the communication system,
and the storage module is used for storing the operation data of the main processor by the storage system.
In one possible implementation, the closing device further comprises:
the solar cell panel comprises a closed body, an alarm device, an induction coil, a contact terminal, a transparent shell, a solar cell panel, a spring and a contact sensor;
the concave inner wall of the closed body is connected with the closed device through a connecting structure, the contact sensor is arranged around the closed device, the alarm device is arranged at the top of the closed device, the center of the closed device is embedded with a groove, the groove is connected with the closed device through a transparent shell, a solar cell panel is arranged in the groove, a spring is connected with the closed device and the contact terminal, and two ends of the induction coil are respectively electrically connected with the controller of the Internet of things.
Fig. 6 is a schematic diagram of a terminal according to an embodiment of the present invention. As shown in fig. 6, the terminal 6 of this embodiment includes: a processor 61, a memory 62 and a computer program 63 stored in the memory 62 and executable on the processor 61. The steps of the above-described respective abnormality prompting method embodiments, such as steps 101 to 103 shown in fig. 1, are implemented when the processor 61 executes the computer program 63. Alternatively, the processor 61 implements the functions of the modules/units in the respective abnormality notification apparatus embodiments described above, such as the functions of the modules/units 51 to 53 shown in fig. 5, when executing the computer program 63.
The present invention also provides a readable storage medium having a computer program stored therein, which when executed by a processor is configured to implement the abnormality notification method provided in the above-described various embodiments.
The readable storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media can be any available media that can be accessed by a general purpose or special purpose computer. For example, a readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium. In the alternative, the readable storage medium may be integral to the processor. The processor and the readable storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuits, ASIC for short). In addition, the ASIC may reside in a user device. The processor and the readable storage medium may reside as discrete components in a communication device. The readable storage medium may be read-only memory (ROM), random-access memory (RAM), CD-ROMs, magnetic tape, floppy disk, optical data storage device, etc.
The present invention also provides a program product comprising execution instructions stored in a readable storage medium. The at least one processor of the device may read the execution instructions from the readable storage medium, and execution of the execution instructions by the at least one processor causes the device to implement the anomaly notification method provided by the various embodiments described above.
In the above embodiment of the apparatus, it should be understood that the processor may be a central processing unit (english: central Processing Unit, abbreviated as CPU), or may be other general purpose processors, digital signal processors (english: digital Signal Processor, abbreviated as DSP), application specific integrated circuits (english: application Specific Integrated Circuit, abbreviated as ASIC), or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.
Claims (9)
1. An abnormality notification method, comprising:
an internet of things controller is arranged in the closing device and at least comprises an induction system, a self-diagnosis system and a main processor;
the controller of the Internet of things senses the state of the closing device through the sensing system, generates corresponding state data based on the state, and sends the state data to the self-diagnosis system;
the self-diagnosis system processes the state data to obtain a diagnosis result and sends the diagnosis result to the main processor;
the main processor processes the diagnosis result to obtain abnormal prompt information of the closing device;
the states include a damaged state and a closed state; the status data includes damage status data and closure status data; the induction system comprises a sending module, a receiving module and a contact sensor;
the internet of things controller senses the state of the closing device through the sensing system, generates corresponding state data based on the state, and sends the state data to the self-diagnosis system, and the method comprises the following steps:
the receiving module is used for sensing the damage state of the closing device through the sensing coil receiving and transmitting module, generating corresponding damage state data based on the damage state and transmitting the damage state data to the self-diagnosis system, wherein the sensing coil is arranged in the closing device;
the contact sensor senses the closing state of the closing device, generates corresponding closing state data based on the closing state, and sends the closing state data to the self-diagnosis system;
the induction coil is characterized in that two ends of the induction coil are respectively and electrically connected with the Internet of things controller, wherein the two ends of the induction coil are respectively and electrically connected with a transmitting module and a receiving module of an induction system in the Internet of things controller, the transmitting module transmits signals according to preset frequency, and the transmitting signals are transmitted to the receiving module through the induction coil.
2. The anomaly notification method of claim 1, wherein the self-diagnostic system processes the status data to obtain a diagnostic result and sends the diagnostic result to the host processor, comprising:
the self-diagnosis system judges the abnormality of the data in the damage state data and the closure state data to obtain a diagnosis result, and sends the diagnosis result to the main processor.
3. The anomaly presentation method of claim 2, wherein the main processor processes the diagnosis result to obtain anomaly presentation information of the closing device, comprising:
and the main processor identifies the diagnosis result, and if abnormal data exists in the diagnosis result, generates the abnormal prompt information based on the abnormal data.
4. The anomaly prompting method according to claim 3, wherein the anomaly prompting information at least includes a control instruction corresponding to an anomaly result, and the internet of things controller at least includes a peripheral system;
the method further comprises the steps of:
and the main processor sends a control instruction corresponding to the abnormal result to the peripheral system so that the peripheral system executes alarm operation based on the control instruction.
5. The anomaly prompting method of claim 3 wherein the anomaly prompting message includes at least an anomaly result, and the internet of things controller includes at least a communication system and a storage system;
the method further comprises the steps of:
the main processor sends the abnormal result to a server or a client through the communication system, and the storage system stores the operation data of the main processor.
6. The anomaly notification method of any one of claims 1-5, wherein the closure device further comprises:
the solar cell panel comprises a closed body, an alarm device, an induction coil, a contact terminal, a transparent shell, a solar cell panel, a spring and a contact sensor;
the concave inner wall of the closure body is connected with the closure device through a connecting structure, the contact sensor is arranged around the closure device, the alarm device is arranged at the top of the closure device, a groove is embedded in the center of the closure device and is connected with the closure device through a transparent shell, a solar cell panel is arranged in the groove, the spring is connected with the closure device and the contact terminal, and two ends of the induction coil are respectively electrically connected with the controller of the Internet of things.
7. An abnormality notification apparatus, comprising:
an internet of things controller is arranged in the closing device and at least comprises an induction system, a self-diagnosis system and a main processor;
the state data generation module is used for sensing the state of the closing device through the sensing system by the Internet of things controller, generating corresponding state data based on the state and sending the state data to the self-diagnosis system;
the diagnosis module is used for processing the state data by the self-diagnosis system to obtain a diagnosis result and sending the diagnosis result to the main processor;
the prompt information generation module is used for processing the diagnosis result by the main processor to obtain abnormal prompt information of the closing device;
the states include a damaged state and a closed state; the status data includes damage status data and closure status data; the induction system comprises a sending module, a receiving module and a contact sensor;
the state data generation module is further used for sensing the damage state of the closing device through the sensing coil receiving and transmitting module, generating corresponding damage state data based on the damage state and transmitting the damage state data to the self-diagnosis system, wherein the sensing coil is arranged in the closing device;
the contact sensor senses the closing state of the closing device, generates corresponding closing state data based on the closing state, and sends the closing state data to the self-diagnosis system;
the induction coil is characterized in that two ends of the induction coil are respectively and electrically connected with the Internet of things controller, wherein the two ends of the induction coil are respectively and electrically connected with a transmitting module and a receiving module of an induction system in the Internet of things controller, the transmitting module transmits signals according to preset frequency, and the transmitting signals are transmitted to the receiving module through the induction coil.
8. A terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the anomaly prompting method according to any one of claims 1 to 6 when the computer program is executed.
9. A computer-readable storage medium storing a computer program, characterized in that the computer program realizes the steps of the abnormality prompting method according to any one of claims 1 to 6 when the computer program is executed by a processor.
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