CN109040742A - Camera intelligent fault is sought because of method, apparatus and camera - Google Patents
Camera intelligent fault is sought because of method, apparatus and camera Download PDFInfo
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- CN109040742A CN109040742A CN201810726691.1A CN201810726691A CN109040742A CN 109040742 A CN109040742 A CN 109040742A CN 201810726691 A CN201810726691 A CN 201810726691A CN 109040742 A CN109040742 A CN 109040742A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/002—Diagnosis, testing or measuring for television systems or their details for television cameras
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Abstract
The present invention provides a kind of camera intelligent fault and seeks because of method, apparatus and camera, which seeks because method includes: to establish failure according to the failure cause of determining multiple failures and the camera status switch information of corresponding failure and seek because of model；When detecting failure, sought using camera status switch information relevant to the failure and the failure because model determines failure cause.Camera intelligent fault of the invention is sought because of method, can make camera by the failure generated seek because model is to failure when status information analyze, thus intelligent positioning failure cause, reduce the workload of camera maintenance personnel.
Description
Technical field
The present invention relates to field of security technology, in particular to a kind of camera intelligent fault seek because method, apparatus,
Camera and computer storage medium.
Background technique
With the continuous development of security and guard technology and universal, monitoring camera is throughout each corner in city.
But the monitoring camera for being located at security protection front end is often link the weakest in entire video monitoring system, camera is easy
It is influenced by weather, power supply and artificial destruction, once there is exception or failure, the safety monitoring of relevant range is as illusory.
Currently, the maintenance for monitoring camera failure, is all the administrative center by connecting monitoring camera, acquisition is taken the photograph
As the status information of head then sends maintenance personnel to carry out the maintenance and dimension of device context when discovery has abnormal status information
It repairs.
Due to can only obtain the status information of camera exception by administrative center, such as temperature is excessively high, can not look into
It is bright to generate abnormal failure cause, it is therefore desirable to which that a large amount of maintenance staff carries out the camera scene of abnormality one by one
It checks, causes working efficiency very low, and make to safeguard that the worker workload of camera is very big.
Summary of the invention
In view of the above problems, the present invention provides a kind of camera intelligent faults to seek because of method, apparatus, camera and calculating
Machine storage medium, so that camera can reduce the workload of maintenance personnel with intelligent positioning failure cause.
To achieve the goals above, the present invention adopts the following technical scheme that:
A kind of camera intelligent fault is sought because of method, comprising:
Failure is established according to the camera status switch information of the failure cause of determining multiple failures and corresponding failure
It seeks because of model；
When detecting failure, sought using camera status switch information relevant to the failure and the failure because of mould
Type determines failure cause.
Preferably, the camera status switch information of the corresponding failure includes the first predetermined time before breaking down
Second camera state sequence in interior the first camera status switch information and the second predetermined time after breaking down
Column information.
Preferably, the camera status switch information relevant to the failure includes that the third before detecting failure is pre-
Camera status switch information in fixing time and detect camera state sequence in the 4th predetermined time after failure
Column information.
Preferably, first predetermined time is equal to the third predetermined time, and second predetermined time is equal to described
4th predetermined time.
Preferably, the status information includes voltage, temperature, humidity, air pressure, fan operating state, heater work shape
At least one of state and image effect information.
Preferably, the failure is sought because model is LSTM model.
Preferably, after establishing the failure and seeking because of model, also believed using the camera status switch of the corresponding failure
Breath as input, seek because model is trained the failure as output by the failure cause determined.
The present invention also provides a kind of camera intelligent faults to seek because of device, comprising:
Model building module, for according to the failure cause of determining multiple failures and the camera state of corresponding failure
Sequence information is established failure and is sought because of model；
Failure is sought because of module, for utilizing camera status switch information relevant to the failure when detecting failure
And the failure is sought because model determines failure cause.
The present invention also provides a kind of camera, including memory and processor, the memory is for storing computer
Program, the processor runs the computer program so that the camera executes the camera intelligent fault and seeks because of side
Method.
A kind of computer storage medium is stored with computer program used in the camera.
The present invention provides a kind of camera intelligent fault and seeks because of method, this method comprises: according to determining multiple failures
The camera status switch information of failure cause and corresponding failure is established failure and is sought because of model；When detecting failure, utilize
Camera status switch information relevant to the failure and the failure are sought because model determines failure cause.Camera shooting of the invention
Head intelligent fault seek because of method, can make camera by generation failure seek because model is to failure when status information divide
Analysis, so that intelligent positioning failure cause, reduces the workload of camera maintenance personnel.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of the scope of the invention.
Fig. 1 is a kind of structural block diagram of camera provided in an embodiment of the present invention；
Fig. 2 is that a kind of camera intelligent fault that the embodiment of the present invention 1 provides seeks flow chart because of method；
Fig. 3 is that a kind of camera intelligent fault that the embodiment of the present invention 2 provides seeks flow chart because of method；
Fig. 4 is that a kind of camera intelligent fault that the embodiment of the present invention 3 provides seeks structure chart because of device.
Specific embodiment
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist
The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, is not intended to limit claimed invention to the detailed description of the embodiment of the present invention provided in the accompanying drawings below
Range, but it is merely representative of selected embodiment of the invention.Based on the embodiment of the present invention, those skilled in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
Following each embodiments can be applied in camera as shown in Figure 1, and Fig. 1 shows the structural frames of the camera
Figure, which includes: Ethernet interface 110, memory 120, sensor 130, voicefrequency circuit 140, Wireless Fidelity
The components such as (wireless fidelity, WiFi) module 150, processor 160 and power supply 170.Those skilled in the art can
To understand, 100 structure of camera shown in Fig. 1 does not constitute the restriction to camera, may include more or more than illustrating
Few component perhaps combines certain components or different component layouts.
Embodiment 1
Fig. 2 is that a kind of camera intelligent fault that the embodiment of the present invention 1 provides seeks flow chart because of method, and this method includes
Following steps:
Step S21: according to the failure cause of determining multiple failures and the camera status switch information of corresponding failure
Failure is established to seek because of model.
In the embodiment of the present invention, which is sought because model is two-way deep learning model, that is, the failure is sought because model has
There are two deep learning unit and an output end, for example, the failure seek because model be provided with the first deep learning unit and
Second deep learning unit, for receiving the status information of camera in different time periods.Wherein, above-mentioned failure is sought because model can
It is established with using algorithm and software, it is, for example, possible to use algorithms to construct two LSTM (Long Short-Term
Memory, shot and long term memory network) unit, and be connected in an output end, and then constitute a failure and seek because of model.
Wherein, above-mentioned first deep learning unit and the second deep learning unit can be LSTM unit, the failure seek because
Model is LSTM model.Also, the first deep learning unit and the second deep learning unit can also be GRU (Gated
Recurrent units, door cycling element) unit, NTM (Neural Turing machines, neural Turing machine) unit,
BiLSTM (bidirectional long short term memory networks, two-way shot and long term memory network) unit
Or BiGRU (bidirectional gated recurrent units, bidirectional gate cycling element) unit.Above-mentioned first depth
Unit and the second unit can be different, such as the first deep learning unit is LSTM unit, the second deep learning list
Member is GRU unit, here without limitation.
In the embodiment of the present invention, imaging the status switch information generated after head fail can be used sensor to adopt
Collection, it is, for example, possible to use the DIE Temperature of temperature sensor acquisition camera and component temperatures, and can set a temperature
Threshold value is spent, can produce fault cues when temperature is more than the threshold value, to prompt maintenance personal to repair.Wherein, above-mentioned to take the photograph
As algorithm or the various status informations of software real-time monitoring can be used in head, algorithm or application program are then used after breaking down
The status information for extracting failure front and back each a period of time generates status switch information and is stored, so that maintenance personal divides
Analysis, and sought as failure and establish sample because of model.
Wherein, the camera status switch information of above-mentioned corresponding failure includes in the first predetermined time before breaking down
The first camera status switch information and the second camera status switch in the second predetermined time after breaking down
Information.For example, algorithm can be used with every five seconds intervals and extract five points of failure generation moment front and back after camera shooting head fail
The status information of clock is the first camera status switch and second camera status switch.The five minutes status informations in front and back
M- status information figure when should be the status information of dynamic change, therefore can be generated, seeks convenient for storing and carrying out failure because of mould
The foundation and training of type.Wherein, the first predetermined time can be different from the second predetermined time, such as the first predetermined time was five points
Clock, the second predetermined time are ten seconds.
Also, the acquisition interval of the first camera status switch information and second camera status switch information can not also
Together, such as the first camera status switch information uses the mode every acquisition in two seconds, and second camera status switch information can
To use every five seconds acquisition modes, thus reach emphasis building failure seek because model for failure for the previous period status information into
The ability of row analysis.The time interval of acquisition it is smaller and acquisition time span it is longer, the failure of generation is sought because of model quality
It is higher, relatively, failure seek because model is trained when the computing resource that occupies it is also more, therefore can be by multiple
Suitable acquisition time interval and acquisition time length are found out in test, here without limitation.
Wherein, which includes voltage, temperature, humidity, air pressure, fan operating state, heater work shape
At least one of state and image effect information.The monitoring of the voltage includes the input voltage of camera and various Key Circuits
Voltage, the temperature monitoring include camera DIE Temperature and various key components temperature, the monitoring packet of the humidity
Include the core humidity of camera and the humidity of various key components, the monitoring of the air pressure include camera core air pressure and
The air pressure of various key components.
In the present embodiment, failure cause can be acquired by maintenance personal, such as staff can be in camera failure
When the status switch information that stores on additional fault reason label, camera, which receives failure cause label, simultaneously to be believed with corresponding state
Breath is stored, and seeks sample because of model as failure is established.
Step S22: it when detecting failure, is sought using camera status switch information relevant to the failure and failure
Because model determines failure cause.
In the embodiment of the present invention, seek establishing failure because in model process, it can be deep by status switch information input first
The data information that degree unit and the second deep learning unit generate is contacted with corresponding failure cause label, is generated back
Return function, carry out failure cause judgement fitting, independently judges failure cause so that status information can be used in camera, such as on
The data information for stating generation can carry out Softmax regression algorithm processing with faulty tag, so that the failure after establishing is sought
Because model utilizes the further accurate judgement failure cause of Softmax regression algorithm.Wherein, above-mentioned failure seeks the foundation because of model
It can be used that a large amount of different times occur and different faults reason establishes sample in journey, seek the failure generated because of model
It is more accurate to the judgement of failure cause.
Wherein, being somebody's turn to do camera status switch information relevant to the failure includes the pre- timing of third before detecting failure
In camera status switch information and detect camera status switch letter in the 4th predetermined time after failure
Breath.For example, algorithm can be used with every five seconds intervals and extract failure generation moment front and back five minutes after camera shooting head fail
Status information, generate two status switch information in third predetermined time and the 4th predetermined time.
Wherein, the third predetermined time can be different from the 4th predetermined time, for example, the third predetermined time be five minutes, the 4th
Predetermined time is ten seconds.Also, above-mentioned two status switch information collection interval can also be different, such as the third predetermined time
Interior collection process uses the mode every acquisition in two seconds, and the collection process in the 4th predetermined time can be used adopted every five seconds
Mode set, to be sought using the failure because model achievees the purpose that selective analysis pre-fault status information.The time interval of acquisition
Smaller and acquisition time span is longer, and the status switch information quality of generation is higher, relatively, seeks in failure because of model
Carry out failure seek because when the computing resource that occupies it is also more, therefore can be found out by test of many times between suitable acquisition time
Every and acquisition time length, here without limitation.
Also, in the present embodiment, which is equal to the third predetermined time, which is equal to the 4th
Predetermined time.That is, establishing the status switch Chief Information Officer that failure is sought the status switch information because of model and acquired when breaking down
Degree is consistent, and acquisition interval is also consistent, judges work because model can be normally carried out failure cause to guarantee that failure is sought.
Embodiment 2
Fig. 3 is that a kind of camera intelligent fault that the embodiment of the present invention 2 provides seeks flow chart because of method, and this method includes
Following steps:
Step S31: according to the failure cause of determining multiple failures and the camera status switch information of corresponding failure
Failure is established to seek because of model.
This step is consistent with above-mentioned steps S21, and which is not described herein again.
Step S32: after establishing failure and seeking because of model, also using the camera status switch information of corresponding failure as defeated
Enter, determining failure cause seeks because model is trained failure as output.
Step S33: it when detecting failure, is sought using camera status switch information relevant to the failure and failure
Because model determines failure cause.
This step is consistent with above-mentioned steps S22, and which is not described herein again.
In the embodiment of the present invention, after establishing failure and seeking because of model, the status switch information of multiple failures can also be used
And corresponding failure cause seeks because model is trained the failure.Wherein, the status switch information and corresponding failure
Reason can be inputted by staff and be provided, sought with quickly reinforcing camera failure because model is independently analyzed as training sample
The ability of failure cause, which, which seeks, is trained because of model using more how different training samples, judges failure cause
Accuracy is higher.
Therefore, the camera intelligent fault of the present embodiment is sought because of method, and camera can be made to seek by the intelligent fault generated
Because status information when model is to failure is analyzed, so that intelligent positioning failure cause, reduces the work of camera maintenance personnel
It measures.
Wherein, the failure cause of acquisition can also be sent to management platform, such as be sent in management server, to realize
The purpose that a large amount of cameras are carried out while being monitored.And one can be solved with remote control camera in management platform
Point can remote repairing failure, reduce the maintenance of maintenance personal, improve working efficiency.
Embodiment 3
Fig. 4 is that a kind of camera intelligent fault that the embodiment of the present invention 3 provides seeks structure chart because of device.Camera event
Barrier intelligence is sought because device 400 includes:
Model building module 410, for according to the failure cause of determining multiple failures and the camera of corresponding failure
Status switch information is established failure and is sought because of model；
Failure is sought because of module 420, for being believed using camera status switch relevant to the failure when detecting failure
Breath and failure are sought because model determines failure cause.
Each more detailed function description of module can refer to corresponding part in previous embodiment in the embodiment of the present invention,
Which is not described herein again.
In addition, the camera includes memory and processor the present invention also provides a kind of camera, memory can be used for
Computer program is stored, processor is by running the computer program, so that camera be made to execute the above method or above-mentioned
Camera intelligent fault seeks the function because of the modules in device.
Memory may include storing program area and storage data area, wherein storing program area can storage program area, at least
Application program needed for one function etc.；Storage data area, which can be stored, uses created data etc. according to camera.In addition,
Memory may include high-speed random access memory, can also include nonvolatile memory, and a for example, at least disk is deposited
Memory device, flush memory device or other volatile solid-state parts.
The present embodiment additionally provides a kind of computer storage medium, for storing computer journey used in above-mentioned camera
Sequence.
In several embodiments provided herein, it should be understood that disclosed device and method can also pass through
Other modes are realized.The apparatus embodiments described above are merely exemplary, for example, flow chart and structure in attached drawing
Figure shows the system frame in the cards of the device of multiple embodiments according to the present invention, method and computer program product
Structure, function and operation.In this regard, each box in flowchart or block diagram can represent a module, section or code
A part, a part of the module, section or code includes one or more for implementing the specified logical function
Executable instruction.It should also be noted that function marked in the box can also be to be different from the implementation as replacement
The sequence marked in attached drawing occurs.For example, two continuous boxes can actually be basically executed in parallel, they are sometimes
It can execute in the opposite order, this depends on the function involved.It is also noted that in structure chart and/or flow chart
The combination of each box and the box in structure chart and/or flow chart, can function or movement as defined in executing it is dedicated
Hardware based system realize, or can realize using a combination of dedicated hardware and computer instructions.
In addition, each functional module or unit in each embodiment of the present invention can integrate one independence of formation together
Part, be also possible to modules individualism, an independent part can also be integrated to form with two or more modules.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be intelligence
Can mobile phone, personal computer, server or network equipment etc.) execute each embodiment the method for the present invention whole or
Part steps.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory),
Random access memory (RAM, Random Access Memory), magnetic or disk etc. be various to can store program code
Medium.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. a kind of camera intelligent fault is sought because of method characterized by comprising
According to the camera status switch information of the failure cause of determining multiple failures and corresponding failure establish failure seek because
Model；
When detecting failure, sought using camera status switch information relevant to the failure and the failure because model is true
Determine failure cause.
2. camera intelligent fault according to claim 1 is sought because of method, which is characterized in that the camera shooting of the corresponding failure
Head state sequence information includes the first camera status switch information and hair in the first predetermined time before breaking down
The second camera status switch information in the second predetermined time after raw failure.
3. camera intelligent fault according to claim 2 is sought because of method, which is characterized in that described relevant to the failure
Camera status switch information include camera status switch information in the third predetermined time before detecting failure and
Detect the camera status switch information in the 4th predetermined time after failure.
4. camera intelligent fault according to claim 3 is sought because of method, which is characterized in that described first predetermined time etc.
In the third predetermined time, second predetermined time is equal to the 4th predetermined time.
5. camera intelligent fault according to claim 3 is sought because of method, which is characterized in that the status information includes electricity
At least one of pressure, temperature, humidity, air pressure, fan operating state, heater working condition and image effect information.
6. camera intelligent fault according to claim 3 is sought because of method, which is characterized in that the failure is sought because model is
LSTM model.
7. camera intelligent fault according to claim 1 is sought because of method, which is characterized in that establish the failure seek because
After model, also using the camera status switch information of the corresponding failure as input, the failure cause conduct determined
The failure is sought because model is trained in output.
8. a kind of camera intelligent fault is sought because of device characterized by comprising
Model building module, for according to the failure cause of determining multiple failures and the camera status switch of corresponding failure
Information is established failure and is sought because of model；
Failure is sought because of module, for when detecting failure, using camera status switch information relevant to the failure and
The failure is sought because model determines failure cause.
9. a kind of camera, which is characterized in that including memory and processor, the memory is for storing computer journey
Sequence, the processor runs the computer program so that the camera executes according to claim 1 to described in any one of 7
Camera intelligent fault seek because of method.
10. a kind of computer storage medium, which is characterized in that it is stored with used in camera as claimed in claim 9
Computer program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810726691.1A CN109040742A (en) | 2018-07-04 | 2018-07-04 | Camera intelligent fault is sought because of method, apparatus and camera |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810726691.1A CN109040742A (en) | 2018-07-04 | 2018-07-04 | Camera intelligent fault is sought because of method, apparatus and camera |
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| Publication Number | Publication Date |
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| CN109040742A true CN109040742A (en) | 2018-12-18 |
Family
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810726691.1A Pending CN109040742A (en) | 2018-07-04 | 2018-07-04 | Camera intelligent fault is sought because of method, apparatus and camera |
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| CN113923449A (en) * | 2021-12-15 | 2022-01-11 | 深圳市光网视科技有限公司 | Method and system for prejudging failure of security monitoring terminal |
| CN114124677A (en) * | 2021-11-30 | 2022-03-01 | 上汽通用五菱汽车股份有限公司 | Method, device, equipment and storage medium for locating link fault of panoramic camera |
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Application publication date: 20181218 |