CN116016805A - Data processing method, device, electronic equipment and storage medium - Google Patents
Data processing method, device, electronic equipment and storage medium Download PDFInfo
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Abstract
A data processing method, a data processing device, electronic equipment and a storage medium relate to the technical field of computers. The data processing method comprises the following steps: acquiring image data and/or video data containing monitoring data obtained by a monitoring device and/or sensing data obtained by a sensor; and acquiring the monitoring data acquired by the monitoring device and/or the sensing data acquired by the sensor from the acquired image data and/or video data containing the monitoring data acquired by the monitoring device and/or the sensing data acquired by the sensor. The data processing method, the device, the electronic equipment and the storage medium can acquire the monitoring data acquired by the monitoring equipment or the sensing data acquired by the sensor under the condition that the monitoring equipment does not provide the original monitoring data acquired by the monitoring equipment or the sensor does not provide the original sensing data acquired by the sensor.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a data processing method, a data processing device, an electronic device, and a storage medium.
Background
Many management areas are based on management requirements of different standards, and are provided with a plurality of management systems, security systems, monitoring systems and early warning systems. For example, gas stations and oil reservoirs are often equipped with a large number of monitoring devices and various sensors for real-time management and risk early warning, thereby ensuring site safety. These monitoring devices and sensors may come from different manufacturers. The monitoring devices or sensors of different manufacturers may use different data protocols, and may even use data protocols that the manufacturers themselves develop. Based on privacy concerns, manufacturers are not willing to disclose the details of the data protocol to third parties, which makes the subsequent use of the data obtained by these monitoring devices and sensors, which may form islands of information, difficult.
Disclosure of Invention
In order to obtain data in monitoring devices or sensors of different manufacturers, the application provides a data processing method, a data processing device, electronic equipment and a storage medium.
In a first aspect, the present application provides a data processing method, including the steps of: s01, acquiring image data and/or video data containing monitoring data obtained by a monitoring device and/or sensing data obtained by a sensor; s02, acquiring the monitoring data acquired by the monitoring equipment and/or the sensing data acquired by the sensor from the acquired image data and/or video data containing the monitoring data acquired by the monitoring equipment and/or the sensing data acquired by the sensor.
In a second aspect, the present application provides a data processing apparatus comprising: the first acquisition module is used for acquiring image data and/or video data containing monitoring data obtained by the monitoring equipment and/or sensing data obtained by the sensor; the second acquisition module is used for acquiring the monitoring data acquired by the monitoring equipment and/or the sensing data acquired by the sensor from the acquired image data and/or video data containing the monitoring data acquired by the monitoring equipment and/or the sensing data acquired by the sensor.
In a third aspect, the present application provides an electronic device comprising a memory, a processor and computer instructions stored on the memory, the processor executing the computer instructions to implement the steps in the data processing method of the first aspect.
In a fourth aspect, the present application provides a computer storage medium storing computer software instructions for use in the first or second aspects described above, comprising a program designed to perform the aspects described above.
According to the data processing method, the device, the electronic equipment and the storage medium, the monitoring data obtained by the monitoring equipment or the sensing data obtained by the sensor can be obtained under the condition that the monitoring equipment does not provide the original monitoring data obtained by the monitoring equipment or the sensor does not provide the original sensing data obtained by the sensor.
Drawings
Fig. 1 is a flow chart of a data processing method of the present application.
Detailed Description
The data processing method, apparatus, electronic device and storage medium of the present application are described in detail below with reference to the accompanying drawings.
The gas station is provided with a plurality of monitoring devices and various sensors for ensuring the safety of the gas station. These monitoring devices and sensors may come from different manufacturers. The monitoring devices or sensors of different manufacturers may use different data protocols, and may even use data protocols that the manufacturers themselves develop. Based on privacy concerns, manufacturers are not willing to disclose the details of the data protocol to third parties.
In an actual application scenario, the monitoring device may not provide the original monitoring data obtained by the monitoring device to its user, and the monitoring device may only show the monitoring data obtained by the monitoring device to its user. In this case, the user can only view the monitoring data obtained by the monitoring device through the display device connected to the monitoring device, but cannot directly obtain the original monitoring data obtained by the monitoring device through the monitoring device, so that the original monitoring data obtained by the monitoring device cannot be processed and utilized effectively.
In a practical application scenario, the sensor may not provide the raw sensing data obtained by the sensor to its user, and the sensor may simply display the sensing data obtained by the sensor to the user of the sensor through a display device connected to the sensor. In this case, the user cannot directly obtain the raw sensing data obtained by the sensor through the sensor, and thus cannot perform subsequent processing and efficient use of the raw sensing data obtained by the sensor. For example, in a practical application scenario, a thermometer may be installed that includes a temperature sensor and a display screen connected to the temperature sensor, where the display screen of the thermometer displays in real time a temperature value obtained by the temperature sensor of the thermometer. The user of the thermometer may not be able to directly obtain the temperature value obtained by the temperature sensor of the thermometer and to make subsequent processing and efficient use of the temperature value obtained by the temperature sensor of the thermometer.
The application provides a data processing method, a data processing device, electronic equipment and a storage medium. By using the data processing method, the data processing device, the electronic equipment and the storage medium, the monitoring data obtained by the monitoring equipment and/or the sensing data obtained by the sensor can be obtained.
Fig. 1 is a flow chart of a data processing method of the present application. As shown in fig. 1, the method comprises the steps of:
s01, acquiring image data and/or video data containing monitoring data obtained by a monitoring device and/or sensing data obtained by a sensor; s02, acquiring the monitoring data acquired by the monitoring equipment and/or the sensing data acquired by the sensor from the acquired image data and/or video data containing the monitoring data acquired by the monitoring equipment and/or the sensing data acquired by the sensor.
The acquisition of image data and/or video data containing monitoring data obtained by a monitoring device and/or sensing data obtained by a sensor may employ the following method: and using an image pickup device to pick up a display device for displaying the monitoring data obtained by the monitoring equipment and/or the sensing data obtained by the sensor, and reading the image data and/or the video data obtained by the image pickup device. For example, for a thermometer including a temperature sensor and a display screen connected to the temperature sensor, a display screen of the thermometer, which displays a temperature value obtained by the temperature sensor of the thermometer in real time, may be photographed by using a camera, and video data obtained by photographing by the camera may be read.
In an actual application scene, video data captured by an imaging device may need to be read in real time. If the number of image capturing apparatuses to read video data in real time is large and/or the resolution of the video captured by the image capturing apparatuses is high (for example, the resolution of the video captured by the image capturing apparatuses reaches 4096×3112 pixel values) and/or the frame rate of the video captured by the image capturing apparatuses is high (for example, the frame rate of the video captured by the image capturing apparatuses is 120 frames/second), the amount of data of the video data read in real time is large, which may cause untimely reading, and a phenomenon that the video data read at a certain moment is actually the video data captured by the image capturing apparatuses several seconds before the moment occurs, and the real-time property is poor.
In order to solve the above problem, the following method may be used to read the video data captured by the image capturing device:
step S0111, a first process is created;
step S0112, creating a second process;
step S0113, a first queue is created;
step S0114, the first process reads a certain frame in the video stream captured by the image capturing device from the image capturing device; executing step S0115;
step S0115, the first process judges whether the first queue has images, if the first queue has images, all the images in the first queue are deleted, the frame of images in the video stream obtained by the camera device read from the camera device are put into the first queue, and step S0114 is executed; if no image exists in the first queue, the frame image in the video stream shot by the camera device read by the camera device is put into the first queue, and step S0114 is executed;
in step S0116, the second process reads the image in the first queue from the first queue, and then performs step S0116.
The time interval for executing the step S0114 twice before and after the step S0114 is adjusted according to the actual situation, so that the first process can be ensured to read a certain frame in the video stream captured by the image capturing device from the image capturing device when the step S0114 is executed last time, and the first process can be ensured to read the next frame in the certain frame in the video stream captured by the image capturing device from the image capturing device when the step S0114 is executed again (i.e. last time).
The method for reading the video data shot by the camera device can also adopt the following steps:
step S0121, a first process is created;
step S0122, creating a second process;
step S0123, a first queue is created;
step S0124, the first process reads a certain frame in the video stream captured by the image capturing device from the image capturing device; executing step S0125;
step S0125, the first process judges whether there is an image in the first queue, if there is an image in the first queue, all the images in the first queue are deleted, and the frame image in the video stream captured by the imaging device read from the imaging device is put into the first queue, and step S0124 is executed; if no image exists in the first queue, the frame image in the video stream shot by the camera device read by the camera device is put into the first queue, and step S0124 is executed;
in step S0126, the second process reads the image in the first queue from the first queue, then deletes the image in the first queue, and then executes step S0126.
The time interval for executing the step S0124 twice before and after the step S0124 is adjusted according to the actual situation, so that the first process can be ensured to read a certain frame in the video stream captured by the image capturing device from the image capturing device when the step S0124 is executed last time, and the first process can be ensured to read the next frame in the certain frame in the video stream captured by the image capturing device from the image capturing device when the step S0124 is executed again (i.e. last time).
The following method may also be employed to obtain image data and/or video data containing monitoring data obtained by the monitoring device and/or sensing data obtained by the sensor: image data and/or video data containing monitoring data obtained by the monitoring device and/or sensing data obtained by the sensor are obtained from a data transmission line between a display device connected with the monitoring device and/or the sensor and the monitoring device and/or the sensor. For example, the connector of the monitoring device that is originally connected to the display may be connected to the input of the video distributor, one output of the video distributor is connected to the display, the other output of the video distributor is connected to the video capture card, the video distributor includes one input and at least two outputs, and then image data and/or video data including monitoring data obtained by the monitoring device and/or sensing data obtained by the sensor may be obtained by the video capture card connected to the video distributor.
The acquisition of the monitoring data obtained by the monitoring device and/or the sensing data obtained by the sensor from the obtained image data and/or video data comprising the monitoring data obtained by the monitoring device and/or the sensing data obtained by the sensor may comprise the steps of: step S021, detecting whether the obtained image data and/or video data containing the monitoring data obtained by the monitoring equipment and/or the sensing data obtained by the sensor contain characters or not; if it is detected that the obtained image data and/or video data containing the monitoring data obtained by the monitoring device and/or the sensing data obtained by the sensor contains characters, step S023 is performed; in step S023, characters contained in the obtained image data and/or video data containing the monitoring data obtained by the monitoring device and/or the sensing data obtained by the sensor are identified. When step S021 is performed, if it is detected that the obtained image data and/or video data containing the monitoring data obtained by the monitoring device and/or the sensing data obtained by the sensor contains characters, step S022 may also be performed before step S023 is performed: and determining the positions of characters contained in the obtained image data and/or video data containing the monitoring data obtained by the monitoring device and/or the sensing data obtained by the sensor. The obtained position of the character contained in the image data and/or video data containing the monitoring data obtained by the monitoring device and/or the sensing data obtained by the sensor may be the position of the character in the obtained image data and/or video data containing the monitoring data obtained by the monitoring device and/or the sensing data obtained by the sensor.
Detecting whether or not the obtained image data and/or video data containing the monitoring data obtained by the monitoring device and/or the sensing data obtained by the sensor contains characters, and if the obtained image data and/or video data containing the monitoring data obtained by the monitoring device and/or the sensing data obtained by the sensor contains characters, determining the position of the characters contained in the obtained image data and/or video data containing the monitoring data obtained by the monitoring device and/or the sensing data obtained by the sensor may employ the following method: establishing a detection model; acquiring a specified number of image data containing monitoring data obtained by a monitoring device and/or sensing data obtained by a sensor; marking the obtained image data containing the monitoring data obtained by the monitoring equipment and/or the sensing data obtained by the sensor in a specified quantity to obtain a training set; inputting the image data in the training set into the established detection model, and training the established detection model; when the loss function value of the detection model is smaller than or equal to a preset loss function threshold value, obtaining a detection model after training; inputting image data to be detected containing monitoring data obtained by monitoring equipment and/or sensing data obtained by a sensor into a trained detection model, determining whether the image data to be detected containing the monitoring data obtained by the monitoring equipment and/or the sensing data obtained by the sensor contains characters, and if the image data to be detected containing the monitoring data obtained by the monitoring equipment and/or the sensing data obtained by the sensor contains characters, determining the position of the characters contained in the image data to be detected containing the monitoring data obtained by the monitoring equipment and/or the sensing data obtained by the sensor. Since the video data is essentially a collection of image data composed at a certain frame rate, the method is also suitable for detection of video data obtained comprising monitoring data obtained by a monitoring device and/or sensor data obtained by a sensor.
The building of the detection model may comprise the step of setting a target detection box.
The loss function value of the detection model may be calculated using the following formula:
wherein ,
a loss function for the detection model; />
The number of target detection frames; />
Is->
Whether the target detection frame of the target detection frames contains a marking value of a character or not, if +.>
The object detection frame contains characters, then +.>
If->
No character is contained in the target detection frame, then +.>
；/>
To be constant->
Is the logarithm of the base; />
Is->
Target detection of individual target detection framesDetecting whether the predicted value obtained by the detection model of the character is contained in the frame, if the predicted result of the detection model is +.>
The object detection frame contains characters, then +.>
If the result predicted by the detection model is +.>
No character is contained in the target detection frame, then +.>
；/>
Is->
The number of target detection frames including characters in the target detection frames identified by the detection model is detected in the target detection frames; />
Is->
Height mark values of the target detection frames; />
Is->
And the height predicted value obtained by the detection model of each target detection frame.
The application also provides a data processing device, comprising: the first acquisition module is used for acquiring image data and/or video data containing monitoring data obtained by the monitoring equipment and/or sensing data obtained by the sensor; the second acquisition module is used for acquiring the monitoring data acquired by the monitoring equipment and/or the sensing data acquired by the sensor from the acquired image data and/or video data containing the monitoring data acquired by the monitoring equipment and/or the sensing data acquired by the sensor.
The first obtaining module may be specifically configured to: and reading image data and/or video data obtained by a display device of the monitoring data obtained by the monitoring equipment and/or the sensing data obtained by the sensor.
The first obtaining module may be specifically configured to: image data and/or video data containing monitoring data obtained by the monitoring device and/or sensing data obtained by the sensor are obtained from a data transmission line between a display device connected with the monitoring device and/or the sensor and the monitoring device and/or the sensor.
The second obtaining module may be specifically configured to: detecting whether the obtained image data and/or video data containing monitoring data obtained by the monitoring equipment and/or sensing data obtained by the sensor contain characters or not; if the obtained image data and/or video data containing the monitoring data obtained by the monitoring device and/or the sensing data obtained by the sensor contain characters, determining the positions of the characters contained in the obtained image data and/or video data containing the monitoring data obtained by the monitoring device and/or the sensing data obtained by the sensor; and identifying characters contained in the obtained image data and/or video data containing the monitoring data obtained by the monitoring device and/or the sensing data obtained by the sensor.
The second obtaining module may be specifically configured to: establishing a detection model; acquiring a specified number of image data containing monitoring data obtained by a monitoring device and/or sensing data obtained by a sensor; marking the obtained image data containing the monitoring data obtained by the monitoring equipment and/or the sensing data obtained by the sensor in a specified quantity to obtain a training set; inputting the image data in the training set into the established detection model, and training the established detection model; when the loss function value of the detection model is smaller than or equal to a preset loss function threshold value, obtaining a detection model after training; inputting image data to be detected containing monitoring data obtained by monitoring equipment and/or sensing data obtained by a sensor into a trained detection model, determining whether the image data to be detected containing the monitoring data obtained by the monitoring equipment and/or the sensing data obtained by the sensor contains characters, and if the image data to be detected containing the monitoring data obtained by the monitoring equipment and/or the sensing data obtained by the sensor contains characters, determining the position of the characters contained in the image data to be detected containing the monitoring data obtained by the monitoring equipment and/or the sensing data obtained by the sensor.
The establishing of the detection model may include setting a target detection box.
The loss function value of the detection model may be calculated using the following formula:
wherein ,
a loss function for the detection model; />
The number of target detection frames; />
Is->
Whether the target detection frame of the target detection frames contains a marking value of a character or not, if +.>
The object detection frame contains characters, then +.>
If->
No character is contained in the target detection frame, then +.>
；/>
To be constant->
Is the logarithm of the base; />
Is->
Whether the target detection frame of the target detection frames contains the predicted value obtained by the detection model of the character or not, if the predicted result of the detection model is +.>
The object detection frame contains characters, then +.>
If the result predicted by the detection model is +.>
No character is contained in the target detection frame, then +.>
；/>
Is->
The number of target detection frames including characters in the target detection frames identified by the detection model is detected in the target detection frames; />
Is->
Height mark values of the target detection frames; />
Is->
And the height predicted value obtained by the detection model of each target detection frame.
The application also provides an electronic device, comprising: the system comprises a memory and a processor, wherein the memory is connected with the processor, and computer instructions are stored in the memory and can be run on the processor to realize the steps in the data processing method.
The present application also provides a storage medium storing computer software instructions for use with the data processing method of the present application or the data processing apparatus of the present application, comprising a program designed to execute the data processing method of the present application.
The gas station is provided with a plurality of management systems, security systems, monitoring systems and early warning systems. For many reasons, manufacturers of the management system, the security system, the monitoring system and the early warning system often do not provide data interfaces for third parties, and the systems are likely to form information islands. The data processing method, the data processing device, the electronic equipment and the storage medium can acquire information acquired or generated by each system. According to the data processing method, the device, the electronic equipment and the storage medium, the unified information management system is matched to perform unified management on information obtained or generated by each system obtained by the data processing method, the device, the electronic equipment and the storage medium, so that a user can check key information obtained or generated by each system on the same operation interface and quickly master the key information; and the operation instructions can be issued to each system on the same operation interface to perform cross-system management, so that the information island formed by each system is broken, and the management efficiency is improved. The unified information management system can implement one-screen (e.g., same operation interface) unified management (unified management for a plurality of different devices or systems) in cooperation with OCR (Optical Character Recognition), i.e., optical character recognition) technology.
Claims (10)
1. A data processing method, comprising the steps of:
s01, acquiring image data and/or video data containing monitoring data obtained by a monitoring device and/or sensing data obtained by a sensor;
s02, acquiring the monitoring data acquired by the monitoring equipment and/or the sensing data acquired by the sensor from the acquired image data and/or video data containing the monitoring data acquired by the monitoring equipment and/or the sensing data acquired by the sensor.
2. The data processing method according to claim 1, wherein the specific method for acquiring image data and/or video data containing monitoring data obtained by a monitoring device and/or sensing data obtained by a sensor is:
and using an image pickup device to pick up a display device for displaying the monitoring data obtained by the monitoring equipment and/or the sensing data obtained by the sensor, and reading the image data and/or the video data obtained by the image pickup device.
3. The data processing method according to claim 2, wherein the reading of the video data captured by the image capturing device includes the steps of:
step S0111, a first process is created;
step S0112, creating a second process;
step S0113, a first queue is created;
step S0114, the first process reads a certain frame in the video stream captured by the image capturing device from the image capturing device; executing step S0115;
step S0115, the first process judges whether the first queue has images, if the first queue has images, all the images in the first queue are deleted, the frame of images in the video stream obtained by the camera device read from the camera device are put into the first queue, and step S0114 is executed; if no image exists in the first queue, the frame image in the video stream shot by the camera device read by the camera device is put into the first queue, and step S0114 is executed;
in step S0116, the second process reads the image in the first queue from the first queue, and then performs step S0116.
4. The data processing method according to claim 2, wherein the reading of the video data captured by the image capturing device includes the steps of:
step S0121, a first process is created;
step S0122, creating a second process;
step S0123, a first queue is created;
step S0124, the first process reads a certain frame in the video stream captured by the image capturing device from the image capturing device; executing step S0125;
step S0125, the first process judges whether there is an image in the first queue, if there is an image in the first queue, all the images in the first queue are deleted, and the frame image in the video stream captured by the imaging device read from the imaging device is put into the first queue, and step S0124 is executed; if no image exists in the first queue, the frame image in the video stream shot by the camera device read by the camera device is put into the first queue, and step S0124 is executed;
in step S0126, the second process reads the image in the first queue from the first queue, then deletes the image in the first queue, and then executes step S0126.
5. The data processing method according to claim 1, wherein the specific method for acquiring image data and/or video data containing monitoring data obtained by a monitoring device and/or sensing data obtained by a sensor is:
image data and/or video data containing monitoring data obtained by the monitoring device and/or sensing data obtained by the sensor are obtained from a data transmission line between a display device connected with the monitoring device and/or the sensor and the monitoring device and/or the sensor.
6. The data processing method according to claim 1, wherein the specific method for acquiring the monitoring data obtained by the monitoring device and/or the sensing data obtained by the sensor from the acquired image data and/or video data containing the monitoring data obtained by the monitoring device and/or the sensing data obtained by the sensor is as follows:
detecting whether the obtained image data and/or video data containing monitoring data obtained by the monitoring equipment and/or sensing data obtained by the sensor contain characters or not; if the character is contained, determining the position of the character contained in the obtained image data and/or video data containing the monitoring data obtained by the monitoring device and/or the sensing data obtained by the sensor; identifying characters contained in the obtained image data and/or video data containing monitoring data obtained by the monitoring device and/or sensing data obtained by the sensor;
the specific method for determining the positions of characters contained in the obtained image data and/or video data containing the monitoring data obtained by the monitoring equipment and/or the sensing data obtained by the sensor comprises the following steps:
establishing a detection model;
acquiring a specified number of image data containing monitoring data obtained by a monitoring device and/or sensing data obtained by a sensor;
marking the obtained image data containing the monitoring data obtained by the monitoring equipment and/or the sensing data obtained by the sensor in a specified quantity to obtain a training set;
inputting the image data in the training set into the established detection model, and training the established detection model;
when the loss function value of the detection model is smaller than or equal to a preset loss function threshold value, obtaining a detection model after training;
inputting image data to be detected containing monitoring data obtained by monitoring equipment and/or sensing data obtained by a sensor into a detection model after training is completed, determining whether the image data to be detected containing the monitoring data obtained by the monitoring equipment and/or the sensing data obtained by the sensor contains characters, and if the image data to be detected contains characters, determining the positions of the characters contained in the image data to be detected containing the monitoring data obtained by the monitoring equipment and/or the sensing data obtained by the sensor.
7. The data processing method of claim 6, wherein the loss function value of the detection model is calculated using the following formula:
wherein ,
a loss function for the detection model; />
The number of target detection frames; />
Is->
Whether the target detection frame of the target detection frames contains a marking value of a character or not, if +.>
The object detection frame contains characters, then +.>
If->
No character is contained in the target detection frame, then +.>
；/>
To be constant->
Is the logarithm of the base; />
Is->
Whether the target detection frame of the target detection frames contains the predicted value obtained by the detection model of the character or not, if the predicted result of the detection model is +.>
The object detection frame contains characters, then +.>
If the result predicted by the detection model is +.>
No character is contained in the target detection frame, then +.>
；/>
Is->
The number of target detection frames including characters in the target detection frames identified by the detection model is detected in the target detection frames; />
Is->
Height mark values of the target detection frames; />
Is->
And the height predicted value obtained by the detection model of each target detection frame.
8. A data processing apparatus, comprising: the first acquisition module is used for acquiring image data and/or video data containing monitoring data obtained by the monitoring equipment and/or sensing data obtained by the sensor; the second acquisition module is used for acquiring the monitoring data acquired by the monitoring equipment and/or the sensing data acquired by the sensor from the acquired image data and/or video data containing the monitoring data acquired by the monitoring equipment and/or the sensing data acquired by the sensor.
9. An electronic device, comprising: a memory and a processor, the memory being coupled to the processor, the memory having stored therein computer instructions that are executed by the processor to implement the steps in the data processing method of any of claims 1-7.
10. A storage medium storing computer software instructions containing a program designed to perform the steps of the data processing method of any one of claims 1-7.
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