CN116129604A - Automatic alarm method, system and storage medium based on monitoring data - Google Patents
Automatic alarm method, system and storage medium based on monitoring data Download PDFInfo
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- CN116129604A CN116129604A CN202310406788.5A CN202310406788A CN116129604A CN 116129604 A CN116129604 A CN 116129604A CN 202310406788 A CN202310406788 A CN 202310406788A CN 116129604 A CN116129604 A CN 116129604A
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- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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Abstract
The invention belongs to the technical field of data processing, and particularly relates to an automatic alarming method, an automatic alarming system and a storage medium based on monitoring data, wherein the method comprises the steps of setting a camera module in a monitoring environment, shooting videos in the monitoring environment in real time, storing the shot videos in the monitoring environment at the same time, and sending the videos in the monitoring environment shot in the fixed time interval to the monitoring module for storage through a network every time the fixed time interval passes; the camera module forwards the first notification information to the monitoring module through the network under the condition that the camera module receives the first notification information from the environment module, and the monitoring module checks the latest video in the monitoring environment sent by the camera module after receiving the first notification information. The invention can check whether the emergency situation occurs in the monitoring environment.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to an automatic alarm method, an automatic alarm system and a storage medium based on monitoring data.
Background
Currently, unsafe events in an elevator environment occur, and in order to ensure personal and property safety of elevator passengers, a camera device is generally installed in an elevator in the prior art to collect video images in the elevator environment, so that monitoring of the elevator environment is realized. The invention patent CN108920995A discloses an intelligent security video monitoring method, a system and a monitoring terminal thereof, wherein the monitoring terminal filters a shot image based on image recognition analysis, filters an image which does not contain target characteristics, uploads the image which contains the target characteristics to a cloud server, and the cloud server recognizes the target of the filtered image uploaded by the monitoring terminal. The Chinese patent No. 108021653A provides a data screening method of a security monitoring system, which selectively stores security monitoring data images at intervals or according with the requirements, ensures the storage efficiency of the security monitoring system and the utilization of a memory, and realizes that the images with better definition are selectively stored in the memory. Therefore, the invention provides an automatic alarm method, an automatic alarm system and a storage medium based on monitoring data.
Disclosure of Invention
The invention sets the camera shooting module and the environment module in the monitoring environment, the camera shooting module stores the video in the shot monitoring environment, the video in the monitoring environment is transmitted to the monitoring module for storage at regular time, and when the camera shooting module receives the first notification information from the environment module, the first notification information is forwarded to the monitoring module, so that the monitoring module checks the video in the latest monitoring environment transmitted by the camera shooting module, and the aim of monitoring the occurrence of emergency is achieved.
In order to achieve the above object, the present invention provides an automatic alarm method based on monitoring data, which mainly comprises the following steps:
setting a camera module in a monitoring environment, wherein the camera module is used for shooting videos in the monitoring environment in real time, meanwhile, the camera module stores the shot videos in the monitoring environment, and each time the camera module passes a preset fixed time interval, the videos in the monitoring environment shot in the fixed time interval are sent to the monitoring module through a network to be stored;
and under the condition that the camera module receives first notification information from an environment module which is also arranged in a monitoring environment, the camera module forwards the first notification information to the monitoring module through a network, and after receiving the first notification information, the monitoring module checks the latest video in the monitoring environment sent by the camera module so as to judge whether emergency occurs in the monitoring environment.
As a preferable aspect of the present invention, the environment module provided in the monitored environment includes a vibration detecting unit, a temperature detecting unit, a smoke detecting unit, and a sound detecting unit, and the first notification information includes abnormality information in the monitored environment detected by the vibration detecting unit, the temperature detecting unit, the smoke detecting unit, and the sound detecting unit, respectively.
As a preferred technical solution of the present invention, after the camera module is set in the monitoring environment, a distance detecting unit is further disposed above the camera module, where the distance detecting unit is configured to detect whether a distance between the camera module and a preset position in the monitoring environment changes, and the steps from capturing a video in the monitoring environment by the camera module to checking the latest video in the monitoring environment sent by the camera module by the monitoring module further include:
step three: the camera module shoots videos in a monitoring environment in real time, stores the shot videos in the monitoring environment, judges whether the time point of sending the videos in the monitoring environment to the monitoring module is reached, sends the videos in the monitoring environment to the monitoring module under the condition of reaching the time point, continues to execute the third step, and directly executes the second step under the condition of not reaching the time point;
step three, two: the camera module judges whether the first notification information from the environment module is received or not, if the first notification information is not received, the camera module jumps to step III, if the first notification information is received, the camera module sends an abnormal video to the monitoring module for storage, the monitoring module checks the abnormal video sent by the camera module, the abnormal video refers to the video in the monitoring environment shot in a time interval from a time point when the video in the monitoring environment is sent to the monitoring module last time to a time point when the first notification information from the environment module is received, and the step III is executed;
and step three: the camera module judges whether the process of sending the abnormal video to the monitoring module is finished, and jumps to step III, if the process is finished, the camera module judges whether second notification information from a distance detection unit is received, if the second notification information is received, jumps to step III, and continues to send the abnormal video to the monitoring module, if the second notification information is not received, wherein the second notification information comprises information that a distance between the camera module and a preset position in a monitoring environment is detected to change by a distance detection unit;
and step three, four: and deleting the stored abnormal video by the camera module under the condition that the process of sending the abnormal video to the monitoring module is ended, and deleting all the stored video in the monitoring environment by the camera module under the condition that the process of sending the abnormal video to the monitoring module is not ended.
As a preferable technical scheme of the present invention, before the image capturing module sends the abnormal video to the monitoring module for storage, the method further includes reducing resolution of frame images in the abnormal video, or deleting a preset second number of frame images for each preset first number of frame images for the abnormal video.
As a preferred technical solution of the present invention, before the camera module sends the video in the monitoring environment to the monitoring module, the method further includes the following steps:
for frame images in the video in the monitoring environment, dividing the frame images into different frame image areas according to a preset first area size, wherein the different frame image areas comprise the same number of pixels, and dividing the frame image areas into different frame image subareas according to a preset second area size, wherein the different frame image subareas comprise the same number of pixels;
and carrying out secret processing on different pixels in the frame image subareas contained in the frame image area to obtain a secret result of the frame image subareas, changing the sequence of the frame image areas containing the secret result of the frame image subareas in the frame image, and carrying out replacement processing on the pixels positioned on the boundary of the frame image areas.
As a preferred technical solution of the present invention, changing the order of the frame image areas in the frame image containing the secret result of the frame image sub-areas, comprises the steps of:
sequentially determining the sequence value of the frame image area in the frame image according to the sequence from left to right by taking the frame image area in the upper left corner in the frame image as a starting point, and generating a first numerical value and a second numerical value;
the remainder of the product of the first value and the pre-change ranking value of the frame image region divided by the second value is calculated to determine a changed ranking value of the frame image region, and in the frame image, other frame image regions corresponding to the changed ranking value of the frame image region are used to replace the frame image region with the frame image region.
The invention also provides an automatic alarm system based on the monitoring data, which comprises the following modules:
the system comprises a camera module, a monitoring module and a network, wherein the camera module is used for shooting videos in a monitoring environment in real time, storing the shot videos in the monitoring environment at the same time, sending the videos in the monitoring environment shot in the fixed time interval to the monitoring module for storage through the network every time a preset fixed time interval passes, and forwarding first notification information to the monitoring module through the network under the condition of receiving the first notification information from an environment module also arranged in the monitoring environment;
the environment module comprises a vibration detection unit, a temperature detection unit, a smoke detection unit and a sound detection unit, and is used for detecting abnormal information in a monitoring environment and generating first notification information;
and the monitoring module is used for checking the latest video in the monitoring environment sent by the camera shooting module after receiving the first notification information so as to judge whether an emergency situation occurs in the monitoring environment.
The present invention also provides a storage medium storing program instructions, wherein the program instructions, when executed, control a device in which the storage medium is located to perform any one of the methods described above.
Compared with the prior art, the invention has the following beneficial effects:
the invention sets up the camera module in the monitoring environment, shoot the video in the monitoring environment in real time, store the video in the monitoring environment shot at the same time, and every time a fixed time interval passes, send the video in the monitoring environment shot in the fixed time interval to the monitoring module through the network to store, in addition, the camera module transmits the first notification information to the monitoring module through the network under the condition that the first notification information from the environment module is received, and the monitoring module checks the latest video in the monitoring environment sent by the camera module after receiving the first notification information. The invention can not only judge whether emergency occurs in the monitoring environment, but also reduce the storage cost of the camera module, reduce the communication burden between the camera module and the monitoring module, and ensure the safety of the video data in the monitoring environment collected by the camera module.
Drawings
FIG. 1 is a flow chart of steps of an automatic alarm method based on monitoring data according to the present invention;
fig. 2 is a block diagram of an automatic alarm system based on monitoring data according to the present invention.
Description of the embodiments
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It will be understood that the terms "first," "second," and the like, as used herein, may be used to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another element. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present application.
The invention provides an automatic alarming method based on monitoring data as shown in figure 1, which is realized mainly by executing the following steps:
setting a camera module in a monitoring environment, wherein the camera module is used for shooting videos in the monitoring environment in real time, meanwhile, the camera module stores the shot videos in the monitoring environment, and each time the camera module passes a preset fixed time interval, the videos in the monitoring environment shot in the fixed time interval are sent to the monitoring module through a network for storage;
and step two, under the condition that the camera module receives first notification information from an environment module which is also arranged in a monitoring environment, the camera module forwards the first notification information to the monitoring module through a network, and after receiving the first notification information, the monitoring module checks the latest video in the monitoring environment sent by the camera module so as to judge whether emergency occurs in the monitoring environment.
Specifically, in order to ensure the safety of the passengers in the monitoring environment, the camera module is installed in the monitoring environment, the monitoring environment can be an elevator environment, the camera module is usually installed at the corner position of the top of the elevator, the camera module collects videos in the monitoring environment in real time, the collected videos in the monitoring environment are stored in a memory of the camera module, however, if the collected videos in the monitoring environment are always stored in the memory of the camera module, the storage cost is increased continuously, and when the camera module is destroyed due to the occurrence of an emergency, the collected videos in the monitoring environment are all lost, therefore, the camera module sends the videos shot in the monitoring environment in the fixed time interval to the monitoring module through a network for storage, and after the camera module completes the sending, the sent videos in the monitoring environment are deleted from the memory of the camera module.
Further, the environmental module set in the monitoring environment includes a vibration detecting unit, a temperature detecting unit, a smoke detecting unit, and a sound detecting unit, and the first notification information includes abnormal information in the monitoring environment detected by the vibration detecting unit, the temperature detecting unit, the smoke detecting unit, and the sound detecting unit, respectively.
Specifically, in order to ensure the safety of the passengers in the monitored environment, besides installing the camera module in the elevator to collect the video in the monitored environment, the environment module is installed in the elevator to detect whether the monitored environment is abnormal, and the environment module comprises a vibration detection unit, a temperature detection unit, a smoke detection unit and a sound detection unit, wherein the vibration detection unit can detect whether the elevator severely shakes, the temperature detection unit can detect whether the temperature in the elevator environment exceeds a normal range, the smoke detection unit can detect whether fire disaster occurs in the elevator environment, the sound detection unit can detect whether abnormal sounds exist in the elevator environment, such as the help calling of the passengers, for example, when any abnormal condition occurs, the environment module generates first notification information, so that the camera module is notified of the occurrence of the abnormality in the elevator environment, and then the camera module timely checks the video in the monitored environment to further confirm whether the emergency condition occurs in the elevator environment.
Further, after the camera module is set in the monitoring environment, a distance detection unit is further disposed above the camera module, where the distance detection unit is configured to detect whether a distance between the camera module and a preset position in the monitoring environment changes, and the steps from capturing a video in the monitoring environment by the camera module to checking the latest video in the monitoring environment sent by the camera module by the monitoring module further include:
step three: the camera module shoots videos in a monitoring environment in real time, stores the shot videos in the monitoring environment, judges whether the time point of sending the videos in the monitoring environment to the monitoring module is reached, sends the videos in the monitoring environment to the monitoring module under the condition of reaching the time point, continues to execute the third step, and directly executes the second step under the condition of not reaching the time point;
step three, two: the camera module judges whether the first notification information from the environment module is received or not, if the first notification information is not received, the camera module jumps to step III, if the first notification information is received, the camera module sends an abnormal video to the monitoring module for storage, the monitoring module checks the abnormal video sent by the camera module, the abnormal video refers to the video in the monitoring environment shot in a time interval from a time point when the video in the monitoring environment is sent to the monitoring module last time to a time point when the first notification information from the environment module is received, and the step III is executed;
and step three: the camera module judges whether the process of sending the abnormal video to the monitoring module is finished, and jumps to step III, if the process is finished, the camera module judges whether second notification information from the distance detection unit is received, if the second notification information is received, jumps to step III, and continues to send the abnormal video to the monitoring module, if the second notification information is not received, wherein the second notification information comprises information that the distance detection unit detects that the distance between the camera module and a preset position in the monitoring environment is changed;
and step three, four: and deleting the stored abnormal video by the camera module under the condition that the process of sending the abnormal video to the monitoring module is ended, and deleting all the stored video in the monitoring environment by the camera module under the condition that the process of sending the abnormal video to the monitoring module is not ended.
Specifically, a distance detecting unit is further disposed on the camera module, and is configured to detect whether a distance between the camera module and a preset position in the monitoring environment changes, where the camera module may be installed at a corner position at the top of the elevator environment, the preset position in the monitoring environment refers to any one of a plurality of positions in the elevator environment, when the camera module is installed, an initial distance between the camera module and the preset position in the monitoring environment is determined, and if it is detected that the distance between the camera module and the preset position in the monitoring environment changes compared with the initial distance, the camera module is considered to be moved, that is, the camera module may be stolen, and the distance detecting unit sends second notification information to the camera module. By the method, the camera module periodically sends the video in the monitoring environment to the monitoring module, so that the storage cost of the camera module can be reduced, and the video in the monitoring environment can be backed up, however, when an abnormality occurs in the monitoring environment, namely the environment module generates first notification information, for example, a fire disaster occurs in the monitoring environment, the camera module can be destroyed, because the camera module periodically sends the video in the monitoring environment to the monitoring module, the video in the monitoring environment can be lost during the period from last sending to the first notification information, the video in the monitoring environment is important data for analyzing the cause of the abnormality, for example, illegal personnel are rushed into the monitoring environment, passengers send distress sounds, and the camera module can be illegally stolen due to the abnormality in the monitoring environment, so that the video in the monitoring environment stored by the camera module can be lost, and in order to solve the technical problems, the steps three to four are provided;
in the third step, the camera module shoots and stores videos in the monitoring environment in real time, and judges whether a time point of sending the videos in the monitoring environment to the monitoring module is reached, if the time point is reached, the camera module sends the videos in the monitoring environment to the monitoring module, the monitoring module backs up the videos in the monitoring environment, after the sending is completed, the camera module deletes the videos in the monitoring environment stored by the camera module, the second step is continued, if the time point is not reached, the camera module directly continues to the third step, in the third step, the camera module judges whether the first notification information from the environment module is received, if the first notification information is not received, the camera module skips the third step, if the first notification information is received, namely, the monitoring environment is abnormal, the camera module sends the abnormal videos to the monitoring module for storage, then the monitoring module checks the abnormal videos to judge whether the emergency situation occurs in the monitoring environment, the abnormal videos are judged, wherein the abnormal videos refer to the third step is continued, the video in the monitoring environment is deleted from the time point of sending the videos in the monitoring environment to the last time point of sending the monitoring module to the monitoring environment, the time point of receiving the first notification information from the environment, if the first notification information from the monitoring module is not received, in the second step is reduced, if the second step is not received, the second step is completed, if the abnormal information from the camera module can be continuously lost, and if the second step is not received in the monitoring environment is continuously, and the second step is completed, if the abnormal information is continuously received, the second step is not received, and if the first step is judged, the abnormal information is continuously, and the step is taken in the condition, and the condition is taken, and the condition in the condition, and the condition is sent in the condition, and the condition, the condition is in the condition, and the condition, if the second notification information is not received, continuing to send the abnormal video to the monitoring module, in the third and fourth steps, when the abnormal video is sent to the monitoring module, in order to reduce occupation of the storage space of the camera module, the abnormal video stored by the camera module should be deleted, and when the second notification information is received in the process of sending the abnormal video to the monitoring module, because the camera module may be stolen, in order to avoid the video in the monitoring environment from being leaked out, the safety of the video in the monitoring environment is ensured, and the stored video in the monitoring environment should be deleted.
Further, before the image capturing module sends the abnormal video to the monitoring module for storage, the image capturing module further includes reducing the resolution of the frame images in the abnormal video, or deleting the preset second number of frame images for each preset first number of frame images for the abnormal video.
Specifically, when the camera module receives the first notification information, the camera module sends the abnormal video to the monitoring module for storage, at this time, because an abnormality occurs in the monitoring environment, the timeliness requirement for the camera module to transmit the abnormal video to the monitoring module is higher, in order to shorten the time for the camera module to transmit the abnormal video to the monitoring module, the resolution of the frame images in the abnormal video can be selectively reduced, the frame images of the second preset number can be deleted after each preset first number of frame images are selected, for example, one frame image is deleted after each preset second number of frame images are passed, and the two methods can be simultaneously performed.
Further, before the camera module sends the video in the monitoring environment to the monitoring module, the method further includes the following steps:
fifthly, dividing the frame image into different frame image areas according to a preset first area size aiming at the frame image in the video in the monitoring environment, wherein the different frame image areas comprise the same number of pixels, and dividing the frame image area into different frame image subareas according to a preset second area size, wherein the different frame image subareas comprise the same number of pixels;
and fifthly, carrying out secret processing on different pixels in the frame image subareas contained in the frame image area to obtain a secret result of the frame image subareas, changing the sequence of the frame image areas containing the secret result of the frame image subareas in the frame image, and carrying out replacement processing on the pixels positioned on the boundary of the frame image area.
Specifically, considering that the camera module sends the video in the monitoring environment to the monitoring module through the network, in order to ensure that the video in the monitoring environment cannot be leaked in the sending process, special processing is performed on the video in the monitoring environment to be sent by the camera module, and even if the video in the monitoring environment after the special processing is stolen, the video in the monitoring environment cannot be restored to the video in the monitoring environment, so that the video in the monitoring environment cannot be leaked. In the fifth step, for the frame image in the video in the monitoring environment, the frame image is divided into different frame image areas according to the first area size, meanwhile, the frame image areas are divided into different frame image subareas according to the second area size, before the division processing is performed, conversion processing is performed on the frame image in the video in the monitoring environment, for example, deletion or addition of pixels is performed, so that the size of the frame image is an integral multiple of the first area size, the first area size is an integral multiple of the second area size, in the fifth step, secret processing is performed on different pixels in the frame image subareas contained in the frame image areas, secret results of the frame image subareas are obtained, the secret processing can be performed on different pixels in the frame image subareas, the different pixels in the frame image subareas are divided into two parts evenly, the different pixels in the two parts are subjected to overturn processing and the like, the sequence of the frame image areas containing secret results of the frame image subareas in the frame image is changed, the frame image areas are further made to be impossible, and the frame image is further placed on the frame image in the border of the frame image to be replaced in the special image, and the frame image is replaced in the special image processing module is set in the video image in the special image processing environment, and the image is replaced in the special image processing is replaced with the image information of the image in the special image processing module.
Further, changing the order of the frame image areas in the frame image containing the secret result of the frame image sub-areas, comprising the steps of:
step six, sequentially determining the sequence value of the frame image area in the frame image according to the sequence from left to right by taking the frame image area in the upper left corner in the frame image as a starting point, and generating a first numerical value and a second numerical value;
and step six, calculating the remainder of dividing the product of the first numerical value and the sorting value before the change of the frame image area by the second numerical value to determine the sorting value after the change of the frame image area, and replacing the frame image area by using other frame image areas corresponding to the sorting value after the change of the frame image area in the frame image.
Specifically, a process of changing the sequence of the frame image areas in the frame image is described in detail, in step six, the frame image area in the upper left corner of the frame image is used as a starting point, the sequence of the frame image areas in the frame image is determined sequentially according to the sequence from left to right, for example, 12 frame image areas are included in the frame image, then the sequence of the frame image areas from left to right in the first row from top to bottom in the frame image is sequentially 1,2,3,4, the sequence of the frame image areas from left to right in the second row is sequentially 5,6,7,8, the sequence of the frame image areas from left to right in the third row is sequentially 9, 10, 11, 12, and in addition, a first numerical value and a second numerical value are generated, wherein, for example, the first numerical value and the second numerical value are all 7, and the second numerical value is 13.
Further, after the image capturing module sends the frame images in the video in the specially processed monitoring environment to the monitoring module, the monitoring module also needs to restore the frame images in the video in the monitoring environment from the frame images in the video in the specially processed monitoring environment, by first determining individual frame image areas in the specially processed frame images according to the special pixels, then determining the ordering value of the frame image areas in the specially processed frame images by using the same method according to the information about changing the order of the frame image areas in the frame images sent by the image capturing module, and determining the changed ordering value of the frame image areas by using the same method, and placing the frame image area at a position corresponding to the changed sorting value of the frame image area, for example, the sorting value of one frame image area is 1, calculating to obtain that the changed sorting value is 7, placing the frame image area at the position corresponding to the sorting value 7, and finally carrying out inverse secret processing on different pixels in the frame image subarea contained in the frame image area according to the information about secret processing sent by the camera module, for example, carrying out inverse processing of rotation processing on different pixels in the frame image subarea, thereby finally restoring the frame image in the video in the monitoring environment.
According to another aspect of the embodiment of the present invention, referring to fig. 2, there is further provided an automatic alarm system based on monitoring data, including a camera module, an environment module, and a monitoring module, configured to implement an automatic alarm method based on monitoring data as described above, where specific functions of each module are as follows:
the system comprises a camera module, a monitoring module and a network, wherein the camera module is used for shooting videos in a monitoring environment in real time, storing the shot videos in the monitoring environment at the same time, sending the videos in the monitoring environment shot in the fixed time interval to the monitoring module for storage through the network every time a preset fixed time interval passes, and forwarding first notification information to the monitoring module through the network under the condition of receiving the first notification information from an environment module also arranged in the monitoring environment;
the environment module comprises a vibration detection unit, a temperature detection unit, a smoke detection unit and a sound detection unit, and is used for detecting abnormal information in a monitoring environment and generating first notification information;
and the monitoring module is used for checking the latest video in the monitoring environment sent by the camera shooting module after receiving the first notification information so as to judge whether an emergency situation occurs in the monitoring environment.
According to another aspect of the embodiment of the present invention, there is also provided a storage medium storing program instructions, where the program instructions, when executed, control a device in which the storage medium is located to perform the method of any one of the above.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that implementing all or part of the above-described methods may be accomplished by way of computer programs, which may be stored on a non-transitory computer readable storage medium, and which, when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and for brevity, all of the possible combinations of the technical features of the above embodiments are not described, however, they should be considered as the scope of the description of the present specification as long as there is no contradiction between the combinations of the technical features.
The foregoing examples have been presented to illustrate only a few embodiments of the invention and are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (8)
1. An automatic alarming method based on monitoring data is characterized by comprising the following steps:
setting a camera module in a monitoring environment, wherein the camera module is used for shooting videos in the monitoring environment in real time, meanwhile, the camera module stores the shot videos in the monitoring environment, and each time the camera module passes a preset fixed time interval, the videos in the monitoring environment shot in the fixed time interval are sent to the monitoring module through a network to be stored;
and under the condition that the camera module receives first notification information from an environment module which is also arranged in a monitoring environment, the camera module forwards the first notification information to the monitoring module through a network, and after receiving the first notification information, the monitoring module checks the latest video in the monitoring environment sent by the camera module so as to judge whether emergency occurs in the monitoring environment.
2. The automatic alarm method based on monitoring data according to claim 1, wherein the environmental module provided in the monitored environment includes a vibration detecting unit, a temperature detecting unit, a smoke detecting unit, and a sound detecting unit, and the first notification information includes abnormality information in the monitored environment detected by the vibration detecting unit, the temperature detecting unit, the smoke detecting unit, and the sound detecting unit, respectively.
3. The automatic alarm method based on monitoring data according to claim 1, further comprising a distance detection unit disposed above the camera module after the camera module is disposed in the monitoring environment, the distance detection unit being configured to detect whether a distance between the camera module and a preset position in the monitoring environment changes, wherein from capturing a video in the monitoring environment by the camera module to checking the latest video in the monitoring environment sent by the camera module by the monitoring module, the method further comprises the steps of:
step three: the camera module shoots videos in a monitoring environment in real time, stores the shot videos in the monitoring environment, judges whether the time point of sending the videos in the monitoring environment to the monitoring module is reached, sends the videos in the monitoring environment to the monitoring module under the condition of reaching the time point, continues to execute the third step, and directly executes the second step under the condition of not reaching the time point;
step three, two: the camera module judges whether the first notification information from the environment module is received or not, if the first notification information is not received, the camera module jumps to step III, if the first notification information is received, the camera module sends an abnormal video to the monitoring module for storage, the monitoring module checks the abnormal video sent by the camera module, the abnormal video refers to the video in the monitoring environment shot in a time interval from a time point when the video in the monitoring environment is sent to the monitoring module last time to a time point when the first notification information from the environment module is received, and the step III is executed;
and step three: the camera module judges whether the process of sending the abnormal video to the monitoring module is finished, and jumps to step III, if the process is finished, the camera module judges whether second notification information from the distance detection unit is received, if the second notification information is received, jumps to step III, and continues to send the abnormal video to the monitoring module, if the second notification information is not received, wherein the second notification information comprises information that the distance detection unit detects that the distance between the camera module and a preset position in the monitoring environment is changed;
and step three, four: and deleting the stored abnormal video by the camera module under the condition that the process of sending the abnormal video to the monitoring module is ended, and deleting all the stored video in the monitoring environment by the camera module under the condition that the process of sending the abnormal video to the monitoring module is not ended.
4. The automatic alarm method based on monitoring data according to claim 3, wherein the image capturing module further comprises reducing the resolution of the frame images in the abnormal video or deleting a preset second number of frame images for the abnormal video every time a preset first number of frame images are passed before the abnormal video is transmitted to the monitoring module for storage.
5. The automatic alarm method based on monitoring data according to claim 1, wherein before the camera module sends the video in the monitoring environment to the monitoring module, the method further comprises the steps of:
for frame images in the video in the monitoring environment, dividing the frame images into different frame image areas according to a preset first area size, wherein the different frame image areas comprise the same number of pixels, and dividing the frame image areas into different frame image subareas according to a preset second area size, wherein the different frame image subareas comprise the same number of pixels;
and carrying out secret processing on different pixels in the frame image subareas contained in the frame image area to obtain a secret result of the frame image subareas, changing the sequence of the frame image areas containing the secret result of the frame image subareas in the frame image, and carrying out replacement processing on the pixels positioned on the boundary of the frame image areas.
6. An automatic alerting method based on monitoring data according to claim 5, wherein changing the order of frame image areas containing the secret result of the frame image sub-areas in the frame image comprises the steps of:
sequentially determining the sequence value of the frame image area in the frame image according to the sequence from left to right by taking the frame image area in the upper left corner in the frame image as a starting point, and generating a first numerical value and a second numerical value;
the remainder of the product of the first value and the pre-change ranking value of the frame image region divided by the second value is calculated to determine a changed ranking value of the frame image region, and in the frame image, other frame image regions corresponding to the changed ranking value of the frame image region are used to replace the frame image region with the frame image region.
7. An automatic alarm system based on monitoring data for implementing the method according to any one of claims 1-6, characterized by comprising the following modules:
the system comprises a camera module, a monitoring module and a network, wherein the camera module is used for shooting videos in a monitoring environment in real time, storing the shot videos in the monitoring environment at the same time, sending the videos in the monitoring environment shot in the fixed time interval to the monitoring module for storage through the network every time a preset fixed time interval passes, and forwarding first notification information to the monitoring module through the network under the condition of receiving the first notification information from an environment module also arranged in the monitoring environment;
the environment module comprises a vibration detection unit, a temperature detection unit, a smoke detection unit and a sound detection unit, and is used for detecting abnormal information in a monitoring environment and generating first notification information;
and the monitoring module is used for checking the latest video in the monitoring environment sent by the camera shooting module after receiving the first notification information so as to judge whether an emergency situation occurs in the monitoring environment.
8. A storage medium storing program instructions, wherein the program instructions, when executed, control a device in which the storage medium is located to perform the method of any one of claims 1 to 6.
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