CN115795387A - Sensor work abnormity monitoring method and device, storage medium and electronic equipment - Google Patents

Sensor work abnormity monitoring method and device, storage medium and electronic equipment Download PDF

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Publication number
CN115795387A
CN115795387A CN202211329407.XA CN202211329407A CN115795387A CN 115795387 A CN115795387 A CN 115795387A CN 202211329407 A CN202211329407 A CN 202211329407A CN 115795387 A CN115795387 A CN 115795387A
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sensor
heartbeat data
data packet
operation parameters
heartbeat
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CN202211329407.XA
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贺圣茗
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Shengming Technology Guangzhou Co ltd
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Shengming Technology Guangzhou Co ltd
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Priority to CN202211329407.XA priority Critical patent/CN115795387A/en
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    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Abstract

The application discloses a method and a device for monitoring working abnormity of a sensor, a storage medium and electronic equipment. The method comprises the following steps: receiving a heartbeat data packet sent by a sensor according to a preset frequency, wherein the heartbeat data packet comprises operation parameters of the sensor, and the operation parameters are used for determining whether the sensor works abnormally; verifying the heartbeat data packet according to the identification information of the heartbeat data packet; under the condition that the heartbeat data packet passes the verification, analyzing the heartbeat data packet to determine an operation parameter; and determining whether the sensor works abnormally according to the operation parameters. The problem of the more condition of sensor in the correlation technique, traditional artifical mode of patrolling and examining leads to the sensor can't work, reduces system work efficiency because of being difficult to in time effectual discovery sensor's anomaly is solved.

Description

Sensor work abnormity monitoring method and device, storage medium and electronic equipment
Technical Field
The application relates to the field of vibration monitoring, in particular to a method and a device for monitoring working abnormity of a sensor, a storage medium and electronic equipment.
Background
In order to achieve effective real-time monitoring of the production equipment of a factory, a large number of sensors of various types need to be installed and deployed. However, the production environment of the factory is complex, and the damage of the sensor and the damage of the network cable are easily caused. And this kind of damage usually needs to know through the mode of artifical patrol and examine, and the mode of artifical inspection is not only inefficient, and the accuracy is relatively poor moreover.
Under the condition that the number of sensors is more in the correlation technique, the traditional manual inspection mode is difficult to timely and effectively find the abnormality of the sensors, so that the sensors cannot work, and the working efficiency of the system is reduced.
Disclosure of Invention
The application mainly aims to provide a sensor work abnormity monitoring method and device, a storage medium and electronic equipment, so that the problems that in the prior art, when the number of sensors is large, the abnormality of the sensors cannot be timely and effectively discovered in a traditional manual inspection mode, the sensors cannot work, and the work efficiency of a system is reduced are solved.
In order to achieve the above object, according to one aspect of the present application, there is provided a sensor operation abnormality monitoring method including: receiving a heartbeat data packet sent by a sensor according to a preset frequency, wherein the heartbeat data packet comprises operation parameters of the sensor, and the operation parameters are used for determining whether the sensor works abnormally; verifying the heartbeat data packet according to the identification information of the heartbeat data packet; under the condition that the heartbeat data packet passes verification, analyzing the heartbeat data packet to determine the operation parameters; and determining whether the sensor works abnormally according to the operation parameters.
Optionally, receiving the heartbeat data packet sent by the sensor according to the preset frequency includes: receiving a heartbeat data packet sent by a sensor according to a preset frequency; storing the heartbeat data packets in a cache according to the sequence; and pulling the stored heartbeat data packet from the cache.
Optionally, verifying the heartbeat data packet according to the identification information of the heartbeat data packet includes: acquiring identification information of the heartbeat data packet, wherein the identification information is used for representing a sensor identification for sending the heartbeat data packet; verifying the sensor identification, and determining whether the sensor corresponding to the sensor identification is a sensor needing abnormal work monitoring; and determining that the heartbeat data packet passes verification when the sensor corresponding to the sensor identifier is determined to be a sensor needing abnormal work monitoring.
Optionally, the method further includes: determining that the heartbeat data packet is not verified under the condition that the sensor corresponding to the sensor identifier is determined not to be a sensor needing abnormal work monitoring; and sending the sensor identifier through prompt information under the condition that the heartbeat data packet is not verified, wherein the prompt information is used for prompting that the heartbeat data packet of the sensor which is not monitored is obtained.
Optionally, analyzing the heartbeat data packet, and determining the operation parameter includes: and decoding the heartbeat data packet through a preset decoding algorithm to obtain a plurality of operation parameters in the heartbeat data packet, wherein the operation parameters are used for representing the operation state of a corresponding sensor.
Optionally, the method for determining whether the sensor is abnormally operated according to the operating parameter further includes: determining whether the corresponding operating parameters are abnormal or not according to the threshold values corresponding to the operating parameters; and determining that the sensor works abnormally when the operation parameters with preset proportion exist in the plurality of operation parameters.
Optionally, after determining that the sensor is abnormal when an abnormal operating parameter exists in a preset proportion of the plurality of operating parameters, the method further includes: sending alarm information of the abnormal working of the sensor; and determining a processing strategy for processing the working abnormity of the sensor according to the alarm information, and sending the processing strategy.
In order to achieve the above object, according to another aspect of the present application, there is provided a sensor operational abnormality monitoring apparatus including: the receiving module is used for receiving a heartbeat data packet sent by a sensor according to a preset frequency, wherein the heartbeat data packet comprises operation parameters of the sensor, and the operation parameters are used for determining whether the sensor works abnormally; the verification module is used for verifying the heartbeat data packet according to the identification information of the heartbeat data packet; the analysis module is used for analyzing the heartbeat data packet to determine the operation parameters under the condition that the heartbeat data packet passes the verification; and the monitoring module is used for determining whether the sensor works abnormally according to the operation parameters.
According to another aspect of the present application, there is also provided a computer-readable storage medium storing a program, wherein the program executes the sensor work abnormality monitoring method according to any one of the above.
According to another aspect of the present application, there is also provided an electronic device, comprising one or more processors and a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the sensor work abnormality monitoring method of any one of the above.
Through the application, through the heartbeat report mechanism, verify the heartbeat data package of sensor, and carry out the analysis to the operating parameter in the heartbeat data package, whether confirm the sensor work unusually, the automatic purpose of confirming the state of sensor according to the heartbeat data package that the sensor sent has been reached, it is more convenient, swift and accurate realization detects the sensor, the rate of accuracy and the efficiency that the sensor detected have been improved, and then the technological effect of system work efficiency is improved, thereby under the more condition of quantity of sensor among the correlation technique has been solved, traditional artifical mode of patrolling and examining, it is difficult to in time effectual discovery sensor's anomaly, lead to the unable work of sensor, the problem of system work efficiency is reduced.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
FIG. 1 is a flow chart of a method for monitoring sensor operational anomalies according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a sensor detection flow provided in accordance with an embodiment of the present application;
FIG. 3 is a schematic diagram of a sensor abnormal operation monitoring device according to an embodiment of the present application;
fig. 4 is a schematic diagram of an electronic device provided according to an embodiment of the present application.
Detailed Description
It should be noted that, in the present application, the embodiments and features of the embodiments may be combined with each other without conflict. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances in order to facilitate the description of the embodiments of the application herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a 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 expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The present invention is described below with reference to preferred implementation steps, and fig. 1 is a flowchart of a method for monitoring a sensor working abnormality according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S101, receiving a heartbeat data packet sent by a sensor according to a preset frequency, wherein the heartbeat data packet comprises operation parameters of the sensor, and the operation parameters are used for determining whether the sensor works abnormally;
step S102, verifying the heartbeat data packet according to the identification information of the heartbeat data packet;
step S103, analyzing the heartbeat data packet and determining operation parameters under the condition that the heartbeat data packet passes verification;
and step S104, determining whether the sensor works abnormally according to the operation parameters.
Through the steps, through a heartbeat report mechanism, the heartbeat data packet of the sensor is verified, the operation parameters in the heartbeat data packet are analyzed, whether the sensor works abnormally is determined, the purpose of automatically determining the state of the sensor according to the heartbeat data packet sent by the sensor is achieved, the sensor is more conveniently, quickly and accurately detected, the accuracy and the efficiency of detection of the sensor are improved, the technical effect of improving the working efficiency of a system is further improved, the problem that the sensor cannot work due to the fact that the abnormality of the sensor is difficult to timely and effectively find in the traditional manual inspection mode under the condition that the number of the sensors in the related technology is large is solved, and the working efficiency of the system is reduced.
The execution subject of the steps can be a processor, a calculator, a server and the like, and the device has data operation and data analysis processing capabilities. In addition, the device may be an apparatus belonging to a device having the above data operation, analysis and processing capabilities, such as a computer with a processor, a smart phone, a wearable device, and the like. Or a data system with a server, a computing system, etc. The execution main body can be in communication connection with a plurality of sensors, receives heartbeat data packets sent by the sensors according to preset frequency, and determines whether the sensors work abnormally according to the received heartbeat data packets.
The sensor is configured to automatically generate heartbeat data packets according to a preset frequency and transmit the heartbeat data packets, and the sensor acquires data to be packaged, that is, the operation parameters, such as temperature, voltage, current, collected data, and the like, from the sensor according to a preset program. Then, a heartbeat data packet is generated by adopting a coding or compression mode and the like, and then is sent to the execution main body.
The identification information is used to identify the sensor that sends the heartbeat data packet, for example, the sensor number, the sensor position, and the like. The list of the sensors to be monitored is pre-stored in the execution main body, whether the sensors belong to the objects to be monitored or not can be determined according to the identification information of the heartbeat data packet, if not, the heartbeat data packet does not need to be processed, the sensors do not need to be monitored, and unnecessary burden is avoided. And if the heartbeat data packet belongs to the heartbeat data packet, analyzing and processing the heartbeat data packet.
In the step S101, optionally, the receiving the heartbeat data packet sent by the sensor according to the preset frequency includes: receiving a heartbeat data packet sent by a sensor according to a preset frequency; storing the heartbeat data packets in a cache according to the sequence; and pulling the stored heartbeat data packet from the buffer.
In the case that the number of sensors is large or the preset frequency is high, the number of heartbeat data packets sent by the sensors may be particularly large. When receiving heartbeat data packets sent by the sensor according to the preset frequency, the heartbeat data packets can be received through the cache, the received heartbeat data packets are cached according to the queue, and then the heartbeat data packets are pulled from the cache through multiple threads. The method and the device can buffer the condition of more data quantity to ensure the effective receiving of the heartbeat data packets of a plurality of monitored sensors.
Optionally, in step S102, verifying the heartbeat data packet according to the identification information of the heartbeat data packet includes: acquiring identification information of the heartbeat data packet, wherein the identification information is used for representing a sensor identification for sending the heartbeat data packet; verifying the sensor identification, and determining whether the sensor corresponding to the sensor identification is a sensor needing abnormal work monitoring; and determining that the heartbeat data packet is verified to be passed under the condition that the sensor corresponding to the sensor identification is determined to be the sensor needing to be subjected to abnormal work monitoring.
When the heartbeat data packet is verified, the sensor is verified through the identification information carried by the heartbeat data packet. Specifically, the identification information in the heartbeat data packet is searched according to a pre-stored list, and the identification information is used for representing the sensor identification for sending the heartbeat data packet and verifying the sensor identification. And if the identification information of the heartbeat data packet is found in the list, determining that the sensor corresponding to the sensor identification is the sensor needing abnormal work monitoring. If the identification information of the heartbeat data packet is not found in the list, it is determined that the sensor corresponding to the sensor identification is not a sensor which needs to perform abnormal work monitoring. And determining that the heartbeat data packet is verified under the condition that the sensor corresponding to the sensor identifier is determined to be the sensor needing abnormal work monitoring. Otherwise, determining that the heartbeat data packet is not verified under the condition that the sensor corresponding to the sensor identification is not the sensor needing to be monitored for abnormal work.
Optionally, the method further comprises: determining that the heartbeat data packet verification fails under the condition that the sensor corresponding to the sensor identifier is determined not to be a sensor needing abnormal work monitoring; and sending the sensor identifier through prompt information under the condition that the heartbeat data packet is not verified, wherein the prompt information is used for prompting that the heartbeat data packet of the sensor which is not monitored is obtained.
Under the condition that the heartbeat data packet is not verified, the sensor is not a monitoring object, but under the condition that the sensor is not monitored, the heartbeat data packet of the sensor is obtained, or the heartbeat data packet may not be pre-recorded in a list, so that the heartbeat data packet of the unmonitored sensor is obtained through sending prompt information. The user decides to discard the heartbeat packet or to change the list.
Optionally, analyzing the heartbeat data packet, and determining the operation parameter includes: and decoding the heartbeat data packet through a preset decoding algorithm to obtain a plurality of operation parameters in the heartbeat data packet, wherein the operation parameters are used for representing the operation state of the corresponding sensor.
When the heartbeat data packet is analyzed, the heartbeat data packet is analyzed through an inverse algorithm for generating the heartbeat data packet, and a plurality of packed operation parameters are obtained. For example, if the heartbeat data packet is generated by using an encryption algorithm, a decryption algorithm corresponding to the encryption algorithm is used when the heartbeat data packet is analyzed. And if the heartbeat data packet is generated by the encoding algorithm, adopting a decoding algorithm corresponding to the encoding algorithm when the heartbeat data packet is analyzed. And if the generated heartbeat data packet is a compression algorithm, adopting a decompression algorithm corresponding to the compression algorithm when the heartbeat data packet is analyzed.
Optionally, the method for determining whether the sensor works abnormally according to the operation parameters further includes: determining whether the corresponding operating parameters are abnormal or not according to the threshold values corresponding to the operating parameters; and determining that the sensor works abnormally when the operation parameters with preset proportion exist abnormity in the plurality of operation parameters.
The above operation parameters may also be set with different weights, and when determining the proportion of the abnormal operation parameters to all the operation parameters, the determination may be performed in a weighted summation manner. That is, the proportion of each abnormal operation parameter to all the operation parameters is multiplied by the weight of the operation parameter, and then the sum is carried out to obtain the proportion of the abnormal operation parameter to all the operation parameters. And determining that the sensor works abnormally when the operation parameters with preset proportion exist abnormity in the plurality of operation parameters.
It should be noted that, in other embodiments, some of the operating parameters may be set as necessary parameters, and in the case that the necessary parameters do not satisfy their corresponding thresholds, it may be directly determined that the sensor is working abnormally. For example, if the temperature is too high, safety accidents such as explosion short circuit may be directly caused.
Optionally, after determining that the sensor works abnormally, the method further includes: sending alarm information of abnormal working of the sensor; and determining a processing strategy for processing the working abnormity of the sensor according to the alarm information, and sending the processing strategy.
And sending alarm information of abnormal working of the sensor after determining that the operating parameters are abnormal. To prompt the user that the sensor is out of order. Specifically, when prompting, the specific abnormal operation parameters and the abnormal degree grade can be prompted. And determining a processing strategy for processing the working abnormity of the sensor according to the alarm information, and sending the processing strategy to the user side to provide processing assistance for the user.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed out of order from that shown.
It should be noted that the present application also provides an alternative embodiment, which is described in detail below.
Fig. 2 is a schematic diagram of a sensor detection process provided in an embodiment of the present invention, and as shown in fig. 2, the present embodiment provides a remote real-time monitoring mode of an on-site server and an on-site acquisition station. A high-frequency heartbeat mechanism is added to the data acquisition equipment to be monitored, and the platform monitors whether the heartbeat of the data acquisition equipment is normal or not in real time. The data acquisition equipment is usually a sensor, and once the data acquisition equipment fails, the data acquisition equipment can immediately make feedback and early warning and can provide accurate fault point information for maintenance personnel.
(1) Each sensor increases the heartbeat function, and high-frequency heartbeat packet data are sent to the platform.
(2) The platform judges whether each sensor has heartbeat or not, and if the heartbeat is abnormal, instant feedback is made.
And each sensor is additionally provided with a heartbeat mechanism, and whether the monitoring sensor works normally or not is judged through the heartbeat mechanism. The sensor is monitored by adopting a heartbeat mechanism, so that the sensor with abnormal work can be found in time and related personnel can be informed.
The embodiment of the present application further provides a sensor work abnormality monitoring device, and it should be noted that the sensor work abnormality monitoring device according to the embodiment of the present application may be used to execute the method for monitoring sensor work abnormality provided in the embodiment of the present application. The sensor work abnormality monitoring device provided by the embodiment of the present application is described below.
Fig. 3 is a schematic diagram of a sensor abnormal operation monitoring device provided in an embodiment of the present application, where, as shown in fig. 3, the device includes: a receiving module 31, a verifying module 32, an analyzing module 33, and a monitoring module 34, which will be described in detail below.
The receiving module 31 is configured to receive a heartbeat data packet sent by a sensor according to a preset frequency, where the heartbeat data packet includes an operation parameter of the sensor, and the operation parameter is used to determine whether the sensor is abnormal in operation; a verification module 32, connected to the receiving module 31, for verifying the heartbeat data packet according to the identification information of the heartbeat data packet; the analysis module 33 is connected to the verification module 32, and configured to analyze the heartbeat data packet and determine an operation parameter when the heartbeat data packet passes verification; and the monitoring module 34 is connected with the analysis module 33 and used for determining whether the sensor works abnormally according to the operation parameters.
The sensor work anomaly monitoring device that this application embodiment provided, through the heartbeat report mechanism, verify the heartbeat data package of sensor, and analyze the operating parameter in the heartbeat data package, whether come the determination sensor work unusually, the automatic purpose of confirming the state of sensor according to the heartbeat data package that the sensor sent has been reached, it is more convenient, swift and accurate realization detects the sensing, the rate of accuracy and the efficiency that the sensor detected have been improved, and then improve system work efficiency's technical effect, thereby under the more condition of quantity of sensor among the correlation technique has been solved, traditional artifical mode of patrolling and examining, be difficult to in time effectual discovery sensor's anomaly, lead to the sensor can't work, the problem of reduction system work efficiency.
The sensor work abnormality monitoring device comprises a processor and a memory, wherein the receiving module 31, the verifying module 32, the analyzing module 33, the monitoring module 34 and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can set one or more, and the problem that the sensor cannot work and the working efficiency of the system is reduced due to the fact that the traditional manual inspection mode is difficult to timely and effectively find the abnormality of the sensor under the condition that the number of the sensors in the related technology is large is solved by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), including at least one memory chip.
An embodiment of the present invention provides a computer-readable storage medium, on which a program is stored, where the program, when executed by a processor, implements the sensor work abnormality monitoring method.
The embodiment of the invention provides a processor, which is used for running a program, wherein the monitoring method for the working abnormity of the sensor is executed when the program runs.
Fig. 4 is a schematic diagram of an electronic device according to an embodiment of the present application, and as shown in fig. 4, an embodiment of the present application provides an electronic device 40, which includes a processor, a memory, and a program stored in the memory and running on the processor, and when the processor executes the program, the processor implements any of the steps of the method.
The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application also provides a computer program product adapted to perform a program for initializing any of the above method steps when executed on a sensor operational anomaly monitoring device.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable sensor malfunction monitoring apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable sensor malfunction monitoring apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable sensor operation abnormality monitoring apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable sensor operation anomaly monitoring device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer implemented process such that the instructions which execute on the computer or other programmable device provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (10)

1. A method for monitoring the working abnormity of a sensor is characterized by comprising the following steps:
receiving a heartbeat data packet sent by a sensor according to a preset frequency, wherein the heartbeat data packet comprises operation parameters of the sensor, and the operation parameters are used for determining whether the sensor works abnormally;
verifying the heartbeat data packet according to the identification information of the heartbeat data packet;
under the condition that the heartbeat data packet passes verification, analyzing the heartbeat data packet to determine the operation parameters;
and determining whether the sensor works abnormally according to the operation parameters.
2. The method of claim 1, wherein receiving heartbeat data packets transmitted by a sensor at a predetermined frequency comprises:
receiving a heartbeat data packet sent by a sensor according to a preset frequency;
storing the heartbeat data packets in a cache according to the sequence;
and pulling the stored heartbeat data packet from the cache.
3. The method of claim 2, wherein verifying the heartbeat data packet according to the identification information of the heartbeat data packet comprises:
acquiring identification information of the heartbeat data packet, wherein the identification information is used for representing a sensor identification for sending the heartbeat data packet;
verifying the sensor identification, and determining whether the sensor corresponding to the sensor identification is a sensor needing abnormal work monitoring;
and determining that the heartbeat data packet is verified under the condition that the sensor corresponding to the sensor identification is the sensor needing to be subjected to abnormal working monitoring.
4. The method of claim 3, further comprising:
determining that the heartbeat data packet is not verified under the condition that the sensor corresponding to the sensor identifier is determined not to be a sensor needing abnormal work monitoring;
and sending the sensor identifier through prompt information under the condition that the heartbeat data packet is not verified, wherein the prompt information is used for prompting that the heartbeat data packet of the sensor which is not monitored is obtained.
5. The method of claim 1, wherein parsing the heartbeat packet and determining the operational parameter comprises:
and decoding the heartbeat data packet through a preset decoding algorithm to obtain a plurality of operation parameters in the heartbeat data packet, wherein the operation parameters are used for representing the operation state of a corresponding sensor.
6. The method of claim 5, wherein determining whether the sensor is operating abnormally based on the operating parameter further comprises:
determining whether the corresponding operating parameters are abnormal or not according to the threshold values corresponding to the operating parameters;
and determining that the sensor works abnormally when the operation parameters in a preset proportion of the plurality of operation parameters are abnormal.
7. The method of claim 6, wherein after determining that the sensor is operating abnormally, if there is an abnormality in a predetermined percentage of the plurality of operating parameters, the method further comprises:
sending alarm information of abnormal working of the sensor;
and determining a processing strategy for processing the working abnormity of the sensor according to the alarm information, and sending the processing strategy.
8. A sensor operational anomaly monitoring device, comprising:
the receiving module is used for receiving heartbeat data packets sent by a sensor according to a preset frequency, wherein the heartbeat data packets comprise operating parameters of the sensor, and the operating parameters are used for determining whether the sensor works abnormally;
the verification module is used for verifying the heartbeat data packet according to the identification information of the heartbeat data packet;
the analysis module is used for analyzing the heartbeat data packet under the condition that the heartbeat data packet passes verification to determine the operation parameters;
and the monitoring module is used for determining whether the sensor works abnormally according to the operation parameters.
9. A computer-readable storage medium for storing a program, wherein the program executes the sensor operational abnormality monitoring method according to any one of claims 1 to 7.
10. An electronic device comprising one or more processors and memory storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the sensor work abnormality monitoring method of any one of claims 1 to 7.
CN202211329407.XA 2022-10-27 2022-10-27 Sensor work abnormity monitoring method and device, storage medium and electronic equipment Pending CN115795387A (en)

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