CN116260963B - Emergency handling method and device for camera fault - Google Patents

Emergency handling method and device for camera fault Download PDF

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Publication number
CN116260963B
CN116260963B CN202310271276.2A CN202310271276A CN116260963B CN 116260963 B CN116260963 B CN 116260963B CN 202310271276 A CN202310271276 A CN 202310271276A CN 116260963 B CN116260963 B CN 116260963B
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camera
data
fault
emergency
strategy
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CN116260963A (en
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温建伟
邓迪旻
路鹤松
袁潮
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Beijing Zhuohe Technology Co Ltd
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Beijing Zhuohe Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00Diagnosis, testing or measuring for television systems or their details
    • H04N17/002Diagnosis, testing or measuring for television systems or their details for television cameras

Abstract

The application discloses an emergency treatment method and device for camera faults. Wherein the method comprises the following steps: acquiring camera operation parameters and camera abnormal data; inputting the abnormal data of the camera into a preset matching model for matching to obtain a fault result; generating a fault emergency treatment strategy according to the fault result and the camera operation parameters; and executing the fault emergency treatment strategy. The application solves the technical problems that when a plurality of camera devices of the high-precision camera array in the prior art fail, the camera system only utilizes the self-checking function of the camera system to send and alarm failure data, and waits for workers to go to the site to survey and repair, the response time is longer, the response strength is lower, emergency treatment cannot be carried out in time when the key camera system fails, and the safety of the system and the data is ensured.

Description

Emergency handling method and device for camera fault
Technical Field
The application relates to the field of camera fault processing, in particular to an emergency handling method and device for camera faults.
Background
Along with the continuous development of intelligent science and technology, intelligent equipment is increasingly used in life, work and study of people, and the quality of life of people is improved and the learning and working efficiency of people is increased by using intelligent science and technology means.
At present, the high-precision camera array system is widely applied in various fields, such as security field and non-safety hazard monitoring field, and a plurality of high-precision camera arrays are commonly used for monitoring and identifying in real time, so that the risk of serious accidents is reduced, and the potential safety hazard of a monitoring area is identified in advance. However, when a plurality of camera devices of the high-precision camera array in the prior art fail, the self-checking function of the camera system is only utilized to send and alarm failure data, workers wait for to go to the site to survey and repair, response time is long, response force is low, emergency treatment cannot be timely carried out when a key camera system fails, and safety of the system and data is guaranteed.
In view of the above problems, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the application provides an emergency treatment method and an emergency treatment device for camera faults, which at least solve the technical problems that when a plurality of camera devices of a high-precision camera array in the prior art fail, fault data are sent and alarmed only by utilizing a self-checking function of a camera system, workers wait for the workers to go to the site for investigation and repair, response time is long, response force is low, emergency treatment cannot be performed in time when a key camera system fails, and safety of the system and the data is guaranteed.
According to an aspect of an embodiment of the present application, there is provided an emergency handling method for camera failure, including: acquiring camera operation parameters and camera abnormal data; inputting the abnormal data of the camera into a preset matching model for matching to obtain a fault result; generating a fault emergency treatment strategy according to the fault result and the camera operation parameters; and executing the fault emergency treatment strategy.
Optionally, the camera operation parameters include: camera operation duration, camera operation power, camera acquisition data.
Optionally, inputting the abnormal data of the camera into a preset matching model for matching, and obtaining a fault result includes: activating the preset matching model according to the abnormal data of the camera, wherein the preset matching model is used for matching and checking whether the abnormal data belong to the condition of camera faults; inputting the abnormal data of the camera into the preset matching model to obtain the fault result, wherein the fault result comprises: camera failure, camera no failure.
Optionally, the generating a fault emergency treatment policy according to the fault result and the camera operation parameter includes: extracting the camera running power and the camera acquisition data; extracting the data quantity and the data type in the camera acquisition data to obtain first emergency policy data; converting and calculating the camera operation power to obtain second emergency strategy data guided by the camera operation power; and summarizing the first emergency strategy data and the second emergency strategy data to obtain the fault emergency treatment strategy.
According to another aspect of an embodiment of the present application, there is also provided an emergency handling device for camera failure, including: the acquisition module is used for acquiring camera operation parameters and camera abnormal data; the matching module is used for inputting the abnormal data of the camera into a preset matching model for matching to obtain a fault result; the generating module is used for generating a fault emergency treatment strategy according to the fault result and the camera operation parameters; and the execution module is used for executing the fault emergency treatment strategy.
Optionally, the camera operation parameters include: camera operation duration, camera operation power, camera acquisition data.
Optionally, the matching module includes: the activation unit is used for activating the preset matching model according to the abnormal data of the camera, wherein the preset matching model is used for matching and checking whether the abnormal data belong to the condition of camera faults; the input unit is used for inputting the abnormal data of the camera into the preset matching model to obtain the fault result, wherein the fault result comprises: camera failure, camera no failure.
Optionally, the generating module includes: the extraction unit is used for extracting the camera running power and the camera acquisition data; the extraction unit is also used for extracting the data quantity and the data type in the camera acquisition data to obtain first emergency policy data; converting and calculating the camera operation power to obtain second emergency strategy data guided by the camera operation power; and summarizing the first emergency strategy data and the second emergency strategy data to obtain the fault emergency treatment strategy.
According to another aspect of the embodiment of the present application, there is also provided a nonvolatile storage medium including a stored program, where the program when run controls a device in which the nonvolatile storage medium is located to execute an emergency handling method for camera failure.
According to another aspect of the embodiment of the present application, there is also provided an electronic device including a processor and a memory; the memory has stored therein computer readable instructions for executing the computer readable instructions, wherein the computer readable instructions when executed perform a method for emergency treatment of camera failure.
In the embodiment of the application, the camera operation parameters and the camera abnormal data are acquired; inputting the abnormal data of the camera into a preset matching model for matching to obtain a fault result; generating a fault emergency treatment strategy according to the fault result and the camera operation parameters; the method for executing the fault emergency treatment strategy solves the technical problems that when a plurality of camera devices of the high-precision camera array in the prior art fail, fault data are sent and alarmed only by utilizing the self-checking function of the camera system, workers wait for the investigation and repair to the site, response time is long, response force is low, emergency treatment cannot be carried out in time when a key camera system fails, and safety of the system and the data is guaranteed.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a flow chart of a method for emergency handling of camera failure according to an embodiment of the present application;
FIG. 2 is a block diagram of an emergency treatment device for camera failure according to an embodiment of the present application;
fig. 3 is a block diagram of a terminal device for performing the method according to the application according to an embodiment of the application;
fig. 4 is a memory unit for holding or carrying program code for implementing a method according to the application, according to an embodiment of the application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures 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 application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, 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.
According to an embodiment of the present application, there is provided a method embodiment of a method for emergency treatment of camera failure, it being noted that the steps illustrated in the flowchart 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 flowchart, in some cases the steps illustrated or described may be performed in an order other than that illustrated herein.
Example 1
Fig. 1 is a flow chart of a method for emergency handling of camera failure according to an embodiment of the application, as shown in fig. 1, the method comprising the steps of:
step S102, acquiring camera operation parameters and camera anomaly data.
Specifically, the embodiment of the application aims to solve the technical problems that when a plurality of camera devices of a high-precision camera array in the prior art fail, the self-checking function of the camera system is only utilized to send and alarm fault data, workers wait to survey and repair the scene, response time is long, response force is low, emergency treatment cannot be timely carried out when a key camera system fails, and safety of the system and data is guaranteed. Optionally, the camera operation parameters include: camera operation duration, camera operation power, camera acquisition data.
Step S104, the abnormal data of the camera are input into a preset matching model for matching, and a fault result is obtained.
Optionally, inputting the abnormal data of the camera into a preset matching model for matching, and obtaining a fault result includes: activating the preset matching model according to the abnormal data of the camera, wherein the preset matching model is used for matching and checking whether the abnormal data belong to the condition of camera faults; inputting the abnormal data of the camera into the preset matching model to obtain the fault result, wherein the fault result comprises: camera failure, camera no failure.
Specifically, in the embodiment of the present application, after the abnormal data of the camera is obtained, it is described that the camera device may have a fault, so in order to confirm the fault, input and output judgment of the neural network model needs to be performed according to the abnormal data, so as to obtain a fault result, where the fault result characterizes whether the camera has a fault, so as to determine whether to start the emergency processing procedure. For example, inputting the abnormal data of the camera into a preset matching model for matching, and obtaining a fault result includes: activating the preset matching model according to the abnormal data of the camera, wherein the preset matching model is used for matching and checking whether the abnormal data belong to the condition of camera faults; inputting the abnormal data of the camera into the preset matching model to obtain the fault result, wherein the fault result comprises: camera failure, camera no failure.
And step S106, generating a fault emergency treatment strategy according to the fault result and the camera operation parameters.
Optionally, the generating a fault emergency treatment policy according to the fault result and the camera operation parameter includes: extracting the camera running power and the camera acquisition data; extracting the data quantity and the data type in the camera acquisition data to obtain first emergency policy data; converting and calculating the camera operation power to obtain second emergency strategy data guided by the camera operation power; and summarizing the first emergency strategy data and the second emergency strategy data to obtain the fault emergency treatment strategy.
Specifically, the embodiment of the application can utilize the fault result and the operation parameters of the camera to formulate and generate a fault emergency treatment strategy, wherein the strategy is composed of a data set of the camera and a data set of the operation condition of the camera, namely, first emergency strategy data and second emergency strategy data, and because the emergency data strategy is different from a common fault maintenance strategy, the emergency data strategy needs to judge and maintain the camera body while preserving the system data, so that the fault emergency treatment strategy can be generated according to the fault result and the operation parameters of the camera, and comprises the following steps: extracting the camera running power and the camera acquisition data; extracting the data quantity and the data type in the camera acquisition data to obtain first emergency policy data; converting and calculating the camera operation power to obtain second emergency strategy data guided by the camera operation power; and summarizing the first emergency strategy data and the second emergency strategy data to obtain the fault emergency treatment strategy.
Step S108, executing the fault emergency treatment strategy.
Through the embodiment, the technical problems that when a plurality of camera devices of the high-precision camera array in the prior art fail, fault data are sent and alarmed only by utilizing the self-checking function of the camera system, workers wait for the workers to survey and repair on site, response time is long, response force is low, emergency treatment cannot be timely carried out when a key camera system fails, and safety of the system and data is guaranteed are solved.
Example two
Fig. 2 is a block diagram of an emergency treatment device for camera failure according to an embodiment of the present application, as shown in fig. 2, the device includes:
an acquisition module 20, configured to acquire camera operation parameters and camera anomaly data.
Specifically, the embodiment of the application aims to solve the technical problems that when a plurality of camera devices of a high-precision camera array in the prior art fail, the self-checking function of the camera system is only utilized to send and alarm fault data, workers wait to survey and repair the scene, response time is long, response force is low, emergency treatment cannot be timely carried out when a key camera system fails, and safety of the system and data is guaranteed. Optionally, the camera operation parameters include: camera operation duration, camera operation power, camera acquisition data.
And the matching module 22 is used for inputting the abnormal data of the camera into a preset matching model for matching to obtain a fault result.
Optionally, the matching module includes: the activation unit is used for activating the preset matching model according to the abnormal data of the camera, wherein the preset matching model is used for matching and checking whether the abnormal data belong to the condition of camera faults; the input unit is used for inputting the abnormal data of the camera into the preset matching model to obtain the fault result, wherein the fault result comprises: camera failure, camera no failure.
Specifically, in the embodiment of the present application, after the abnormal data of the camera is obtained, it is described that the camera device may have a fault, so in order to confirm the fault, input and output judgment of the neural network model needs to be performed according to the abnormal data, so as to obtain a fault result, where the fault result characterizes whether the camera has a fault, so as to determine whether to start the emergency processing procedure. For example, inputting the abnormal data of the camera into a preset matching model for matching, and obtaining a fault result includes: activating the preset matching model according to the abnormal data of the camera, wherein the preset matching model is used for matching and checking whether the abnormal data belong to the condition of camera faults; inputting the abnormal data of the camera into the preset matching model to obtain the fault result, wherein the fault result comprises: camera failure, camera no failure.
A generating module 24, configured to generate a fault emergency disposition policy according to the fault result and the camera operation parameter.
Optionally, the generating module includes: the extraction unit is used for extracting the camera running power and the camera acquisition data; the extraction unit is also used for extracting the data quantity and the data type in the camera acquisition data to obtain first emergency policy data; converting and calculating the camera operation power to obtain second emergency strategy data guided by the camera operation power; and summarizing the first emergency strategy data and the second emergency strategy data to obtain the fault emergency treatment strategy.
Specifically, the embodiment of the application can utilize the fault result and the operation parameters of the camera to formulate and generate a fault emergency treatment strategy, wherein the strategy is composed of a data set of the camera and a data set of the operation condition of the camera, namely, first emergency strategy data and second emergency strategy data, and because the emergency data strategy is different from a common fault maintenance strategy, the emergency data strategy needs to judge and maintain the camera body while preserving the system data, so that the fault emergency treatment strategy can be generated according to the fault result and the operation parameters of the camera, and comprises the following steps: extracting the camera running power and the camera acquisition data; extracting the data quantity and the data type in the camera acquisition data to obtain first emergency policy data; converting and calculating the camera operation power to obtain second emergency strategy data guided by the camera operation power; and summarizing the first emergency strategy data and the second emergency strategy data to obtain the fault emergency treatment strategy.
An execution module 26 for executing the fault emergency handling policy.
Through the embodiment, the technical problems that when a plurality of camera devices of the high-precision camera array in the prior art fail, fault data are sent and alarmed only by utilizing the self-checking function of the camera system, workers wait for the workers to survey and repair on site, response time is long, response force is low, emergency treatment cannot be timely carried out when a key camera system fails, and safety of the system and data is guaranteed are solved.
According to another aspect of the embodiment of the present application, there is also provided a nonvolatile storage medium including a stored program, where the program when run controls a device in which the nonvolatile storage medium is located to execute an emergency handling method for camera failure.
Specifically, the method comprises the following steps: acquiring camera operation parameters and camera abnormal data; inputting the abnormal data of the camera into a preset matching model for matching to obtain a fault result; generating a fault emergency treatment strategy according to the fault result and the camera operation parameters; and executing the fault emergency treatment strategy. Optionally, the camera operation parameters include: camera operation duration, camera operation power, camera acquisition data. Optionally, inputting the abnormal data of the camera into a preset matching model for matching, and obtaining a fault result includes: activating the preset matching model according to the abnormal data of the camera, wherein the preset matching model is used for matching and checking whether the abnormal data belong to the condition of camera faults; inputting the abnormal data of the camera into the preset matching model to obtain the fault result, wherein the fault result comprises: camera failure, camera no failure. Optionally, the generating a fault emergency treatment policy according to the fault result and the camera operation parameter includes: extracting the camera running power and the camera acquisition data; extracting the data quantity and the data type in the camera acquisition data to obtain first emergency policy data; converting and calculating the camera operation power to obtain second emergency strategy data guided by the camera operation power; and summarizing the first emergency strategy data and the second emergency strategy data to obtain the fault emergency treatment strategy.
According to another aspect of the embodiment of the present application, there is also provided an electronic device including a processor and a memory; the memory has stored therein computer readable instructions for executing the computer readable instructions, wherein the computer readable instructions when executed perform a method for emergency treatment of camera failure.
Specifically, the method comprises the following steps: acquiring camera operation parameters and camera abnormal data; inputting the abnormal data of the camera into a preset matching model for matching to obtain a fault result; generating a fault emergency treatment strategy according to the fault result and the camera operation parameters; and executing the fault emergency treatment strategy. Optionally, the camera operation parameters include: camera operation duration, camera operation power, camera acquisition data. Optionally, inputting the abnormal data of the camera into a preset matching model for matching, and obtaining a fault result includes: activating the preset matching model according to the abnormal data of the camera, wherein the preset matching model is used for matching and checking whether the abnormal data belong to the condition of camera faults; inputting the abnormal data of the camera into the preset matching model to obtain the fault result, wherein the fault result comprises: camera failure, camera no failure. Optionally, the generating a fault emergency treatment policy according to the fault result and the camera operation parameter includes: extracting the camera running power and the camera acquisition data; extracting the data quantity and the data type in the camera acquisition data to obtain first emergency policy data; converting and calculating the camera operation power to obtain second emergency strategy data guided by the camera operation power; and summarizing the first emergency strategy data and the second emergency strategy data to obtain the fault emergency treatment strategy.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, fig. 3 is a schematic hardware structure of a terminal device according to an embodiment of the present application. As shown in fig. 3, the terminal device may include an input device 30, a processor 31, an output device 32, a memory 33, and at least one communication bus 34. The communication bus 34 is used to enable communication connections between the elements. The memory 33 may comprise a high-speed RAM memory or may further comprise a non-volatile memory NVM, such as at least one magnetic disk memory, in which various programs may be stored for performing various processing functions and implementing the method steps of the present embodiment.
Alternatively, the processor 31 may be implemented as, for example, a central processing unit (Central Processing Unit, abbreviated as CPU), an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and the processor 31 is coupled to the input device 30 and the output device 32 through wired or wireless connections.
Alternatively, the input device 30 may include a variety of input devices, for example, may include at least one of a user-oriented user interface, a device-oriented device interface, a programmable interface of software, a camera, and a sensor. Optionally, the device interface facing the device may be a wired interface for data transmission between devices, or may be a hardware insertion interface (such as a USB interface, a serial port, etc.) for data transmission between devices; alternatively, the user-oriented user interface may be, for example, a user-oriented control key, a voice input device for receiving voice input, and a touch-sensitive device (e.g., a touch screen, a touch pad, etc. having touch-sensitive functionality) for receiving user touch input by a user; optionally, the programmable interface of the software may be, for example, an entry for a user to edit or modify a program, for example, an input pin interface or an input interface of a chip, etc.; optionally, the transceiver may be a radio frequency transceiver chip, a baseband processing chip, a transceiver antenna, etc. with a communication function. An audio input device such as a microphone may receive voice data. The output device 32 may include a display, audio, or the like.
In this embodiment, the processor of the terminal device may include functions for executing each module of the data processing apparatus in each device, and specific functions and technical effects may be referred to the above embodiments and are not described herein again.
Fig. 4 is a schematic hardware structure of a terminal device according to another embodiment of the present application. Fig. 4 is a specific embodiment of the implementation of fig. 3. As shown in fig. 4, the terminal device of the present embodiment includes a processor 41 and a memory 42.
The processor 41 executes the computer program code stored in the memory 42 to implement the methods of the above-described embodiments.
The memory 42 is configured to store various types of data to support operation at the terminal device. Examples of such data include instructions for any application or method operating on the terminal device, such as messages, pictures, video, etc. The memory 42 may include a random access memory (random access memory, simply referred to as RAM) and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.
Optionally, a processor 41 is provided in the processing assembly 40. The terminal device may further include: a communication component 43, a power supply component 44, a multimedia component 45, an audio component 46, an input/output interface 47 and/or a sensor component 48. The components and the like specifically included in the terminal device are set according to actual requirements, which are not limited in this embodiment.
The processing component 40 generally controls the overall operation of the terminal device. The processing component 40 may include one or more processors 41 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 40 may include one or more modules that facilitate interactions between the processing component 40 and other components. For example, processing component 40 may include a multimedia module to facilitate interaction between multimedia component 45 and processing component 40.
The power supply assembly 44 provides power to the various components of the terminal device. Power supply components 44 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for terminal devices.
The multimedia component 45 comprises a display screen between the terminal device and the user providing an output interface. In some embodiments, the display screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the display screen includes a touch panel, the display screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation.
The audio component 46 is configured to output and/or input audio signals. For example, the audio component 46 includes a Microphone (MIC) configured to receive external audio signals when the terminal device is in an operational mode, such as a speech recognition mode. The received audio signals may be further stored in the memory 42 or transmitted via the communication component 43. In some embodiments, audio assembly 46 further includes a speaker for outputting audio signals.
The input/output interface 47 provides an interface between the processing assembly 40 and peripheral interface modules, which may be click wheels, buttons, etc. These buttons may include, but are not limited to: volume button, start button and lock button.
The sensor assembly 48 includes one or more sensors for providing status assessment of various aspects for the terminal device. For example, the sensor assembly 48 may detect the open/closed state of the terminal device, the relative positioning of the assembly, the presence or absence of user contact with the terminal device. The sensor assembly 48 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact, including detecting the distance between the user and the terminal device. In some embodiments, the sensor assembly 48 may also include a camera or the like.
The communication component 43 is configured to facilitate communication between the terminal device and other devices in a wired or wireless manner. The terminal device may access a wireless network based on a communication standard, such as WiFi,2G or 3G, or a combination thereof. In one embodiment, the terminal device may include a SIM card slot, where the SIM card slot is used to insert a SIM card, so that the terminal device may log into a GPRS network, and establish communication with a server through the internet.
From the above, it will be appreciated that the communication component 43, the audio component 46, and the input/output interface 47, the sensor component 48 referred to in the embodiment of fig. 4 may be implemented as an input device in the embodiment of fig. 3.
In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application, which are intended to be comprehended within the scope of the present application.

Claims (4)

1. A method for emergency treatment of camera failure, comprising:
acquiring camera operation parameters and camera abnormal data;
inputting the abnormal data of the camera into a preset matching model for matching to obtain a fault result;
generating a fault emergency treatment strategy according to the fault result and the camera operation parameters;
executing the fault emergency treatment strategy;
inputting the abnormal data of the camera into a preset matching model for matching, wherein obtaining a fault result comprises the following steps:
activating the preset matching model according to the abnormal data of the camera, wherein the preset matching model is used for matching and checking whether the abnormal data belong to the condition of camera faults;
inputting the abnormal data of the camera into the preset matching model to obtain the fault result, wherein the fault result comprises: camera failure, camera failure free;
the generating a fault emergency treatment strategy according to the fault result and the camera operation parameter comprises the following steps:
the camera operating parameters include camera operating power and camera acquisition data,
extracting the camera running power and the camera acquisition data;
extracting the data quantity and the data type in the camera acquisition data to obtain first emergency policy data;
converting and calculating the camera operation power to obtain second emergency strategy data guided by the camera operation power;
and summarizing the first emergency strategy data and the second emergency strategy data to obtain the fault emergency treatment strategy.
2. An emergency handling device for camera failure, comprising:
the acquisition module is used for acquiring camera operation parameters and camera abnormal data;
the matching module is used for inputting the abnormal data of the camera into a preset matching model for matching to obtain a fault result;
the generating module is used for generating a fault emergency treatment strategy according to the fault result and the camera operation parameters;
the execution module is used for executing the fault emergency treatment strategy;
the camera operating parameters include: camera operating power and camera acquisition data;
the matching module comprises:
the activation unit is used for activating the preset matching model according to the abnormal data of the camera, wherein the preset matching model is used for matching and checking whether the abnormal data belong to the condition of camera faults;
the input unit is used for inputting the abnormal data of the camera into the preset matching model to obtain the fault result, wherein the fault result comprises: camera failure, camera failure free;
the generation module comprises:
the extraction unit is used for extracting the camera running power and the camera acquisition data;
the extraction unit is also used for extracting the data quantity and the data type in the camera acquisition data to obtain first emergency policy data;
converting and calculating the camera operation power to obtain second emergency strategy data guided by the camera operation power;
and summarizing the first emergency strategy data and the second emergency strategy data to obtain the fault emergency treatment strategy.
3. A non-volatile storage medium comprising a stored program, wherein the program when run controls a device in which the non-volatile storage medium resides to perform the method of claim 1.
4. An electronic device comprising a processor and a memory; the memory has stored therein computer readable instructions for execution by the processor, wherein the computer readable instructions when executed perform the method of claim 1.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108846484A (en) * 2018-04-11 2018-11-20 北京百度网讯科技有限公司 Fault self-recovery system, method, computer equipment and storage medium
CN111983383A (en) * 2020-08-17 2020-11-24 海南电网有限责任公司信息通信分公司 Power system fault first-aid repair method and system
CN112668727A (en) * 2019-09-29 2021-04-16 北京国双科技有限公司 Method and device for detecting equipment fault

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108846484A (en) * 2018-04-11 2018-11-20 北京百度网讯科技有限公司 Fault self-recovery system, method, computer equipment and storage medium
CN112668727A (en) * 2019-09-29 2021-04-16 北京国双科技有限公司 Method and device for detecting equipment fault
CN111983383A (en) * 2020-08-17 2020-11-24 海南电网有限责任公司信息通信分公司 Power system fault first-aid repair method and system

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