CN110519560B - Intelligent early warning method, device and system - Google Patents
Intelligent early warning method, device and system Download PDFInfo
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- CN110519560B CN110519560B CN201910708570.9A CN201910708570A CN110519560B CN 110519560 B CN110519560 B CN 110519560B CN 201910708570 A CN201910708570 A CN 201910708570A CN 110519560 B CN110519560 B CN 110519560B
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Abstract
The invention discloses an intelligent early warning method, an intelligent early warning device and an intelligent early warning system, which relate to the field of safety monitoring. An intelligent early warning method comprises the following steps: acquiring first image information of a region to be monitored; judging whether the second image information is matched with the first image information in the database or not; the second image information is any one of the first image information in the database; and if the second image information is matched with the first image information in the database, outputting first alarm information. The invention is used for monitoring and early warning.
Description
Technical Field
The invention relates to the field of safety monitoring, in particular to an intelligent early warning method, device and system.
Background
The urban development is rapid, high-rise forests stand up, crowds are dense, fire-fighting potential safety hazards are increasingly serious, and once a fire disaster happens, huge life and property losses can be brought to the nation and people. Therefore, it is necessary to improve the fire early warning mechanism so that the relevant personnel can find the fire earlier, and take relevant measures to control the fire.
The existing traditional fire fighting device comprises a temperature alarm device and a smoke detection device. When the temperature reaches a certain value, the temperature detection device triggers an alarm; when the concentration of the particles emitted by combustion reaches a certain degree, the smoke detector is started to trigger alarm. Therefore, related personnel can find out the fire, and take related measures to control the fire. Such conventional fire fighting devices cannot recognize a fire at the initial stage of the fire. That is, such a conventional fire fighting apparatus cannot monitor an area to be monitored in real time and cannot notify a user upon the occurrence of an abnormal situation.
Disclosure of Invention
Embodiments of the present invention provide an intelligent early warning method, apparatus, and system, which combine an image recognition technology with a video monitoring technology, monitor an area to be monitored in real time according to a user's requirement, and can notify a user when an abnormal condition just occurs, so that the user can handle the abnormal condition in time, thereby avoiding potential safety hazards and improving the safety of the area to be monitored.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides an intelligent early warning method, including: acquiring first image information of a region to be monitored; judging whether the second image information is matched with the first image information in the database or not; the second image information is any one of the first image information in the database; and if the second image information is matched with the first image information in the database, outputting first alarm information.
Optionally, after it is determined that the second image information is matched with the first image information in the database, the method further includes: and sending the first image information to the management terminal.
Optionally, the first alarm information at least includes any one or more of the following items: acoustic, optical, electrical.
Optionally, judging whether the second image information is matched with the first image information in the database, including; extracting first characteristic information in the first image information; extracting second characteristic information in second image information in the database; judging whether the first characteristic information is matched with the second characteristic information; and if the first characteristic information is determined to be matched with the second characteristic information, determining that the second image information is matched with the first image information in the database.
Optionally, the intelligent early warning method provided in the embodiment of the present invention further includes: acquiring position information of an area to be monitored; and if the second image information is matched with the first image information in the database, sending output position information to the management terminal.
Optionally, the intelligent early warning method provided in the embodiment of the present invention further includes: if it is determined that the second image information does not exist in the database and the first image information is matched, judging whether third image information exists in the database and the first image information is matched; the third image information is any one of the second type image information in the database; if it is determined that the third image information does not exist in the database and is matched with the first image information, determining that the first image information is abnormal image information; sending an instruction carrying abnormal image information to a management terminal; when a first response corresponding to the instruction sent by the management terminal is received, determining the abnormal image information as first-class image information and storing the first-class image information in a database; and when a second response corresponding to the command sent by the management terminal is received, determining the abnormal image information as second-class image information and storing the second-class image information in a database.
Optionally, after determining that the first image information is abnormal image information, the intelligent early warning method provided in the embodiment of the present invention further includes: and outputting second alarm information.
In a second aspect, an embodiment of the present invention further provides an intelligent early warning apparatus, including: the device comprises an acquisition unit, a monitoring unit and a processing unit, wherein the acquisition unit is used for acquiring first image information of an area to be monitored; the processing unit is used for judging whether the second image information exists in the database and is matched with the first image information acquired by the acquisition unit; and the output unit is used for outputting the first alarm information when the processing unit determines that the second image information is matched with the first image information in the database.
Optionally, the intelligent early warning apparatus provided in the embodiment of the present invention further includes a sending unit, configured to send the first image information to the management terminal when the processing unit determines that the second image information matches the first image information in the database.
Optionally, the first alarm information at least includes any one or more of the following items: acoustic, optical, electrical.
Optionally, the processing unit is specifically configured to: extracting first characteristic information in the first image information acquired by the acquisition unit; extracting second characteristic information in second image information in the database; judging whether the first characteristic information is matched with the second characteristic information; and if the first characteristic information is determined to be matched with the second characteristic information, determining that the second image information is matched with the first image information in the database.
Optionally, the obtaining unit is further configured to obtain location information of the area to be monitored; the output unit is further used for sending the position information to the management terminal when the processing unit determines that the second image information is matched with the first image information in the database.
Optionally, the processing unit is further configured to determine whether third image information is matched with the first image information in the database when it is determined that the second image is not matched with the first image information in the database; the third image information is any one of the second images in the database; if the processing unit determines that the third image information does not exist in the database and is matched with the first image information, determining that the first image information is abnormal image information; the output unit is also used for sending an instruction carrying the abnormal image information determined by the processing unit to the management terminal; the processing unit is also used for determining the abnormal image information as first-class image information and storing the first-class image information into the database when the acquisition unit receives a first response corresponding to the instruction and sent by the management terminal; and the processing unit is also used for determining the abnormal image information as second-class image information and storing the second-class image information into the database when the acquisition unit receives a second response corresponding to the instruction sent by the management terminal.
Optionally, after the processing unit determines that the first image information is abnormal image information, the output unit is further configured to output second alarm information.
In a third aspect, an embodiment of the present invention further provides another intelligent early warning apparatus, including a memory, a processor, a bus, and a communication interface; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus; when the intelligent early warning device is operated, the processor executes the computer execution instructions stored in the memory, so that the intelligent early warning device executes the intelligent early warning method according to the first aspect.
In a fourth aspect, an embodiment of the present invention further provides an intelligent warning system, including the intelligent warning apparatus in the second aspect or the third aspect.
According to the intelligent early warning method, the intelligent early warning device and the intelligent early warning system, first image information of an area to be monitored is obtained, then whether second image information is matched with the first image information exists in a database or not is judged, and if it is determined that the second image information is matched with the first image information exists in the database, first warning information is output. Therefore, the intelligent early warning method provided by the embodiment of the invention combines the image recognition technology and the video monitoring technology, monitors the area to be monitored according to the requirements of the user so as to early warn the safety condition in the area to be monitored in real time, can find the abnormal condition when the potential safety hazard happens right now, and then informs the user so as to enable the user to process in time and improve the safety of the area to be monitored.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of an intelligent early warning method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of another intelligent early warning method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an intelligent early warning apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of another intelligent warning device provided in the embodiment of the present invention;
fig. 5 is a schematic structural diagram of another intelligent warning device provided in the embodiment of the present invention;
fig. 6 is a schematic structural diagram of an intelligent early warning system according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Current traditional fire alarm device includes that smoke detects detection device, temperature-detecting device and alarm, and when the conflagration took place, smoke detects the dense smoke that detection device detected the burning and gived off, and temperature-detecting device detects the high temperature that the burning produced, triggers the alarm and reports to the police. However, the smoke detection device can only detect smoke particles with a certain concentration, and the temperature detection device can only sense the temperature with a certain value, that is, the traditional fire alarm device can only alarm after a fire disaster happens, even after the fire disaster lasts for a certain time, and the hidden danger of the fire disaster which is easy to cause can not be found before the fire disaster happens or in the initial stage of the fire disaster.
In order to solve the above problem, in a first aspect, as shown in fig. 1, an intelligent early warning method provided in an embodiment of the present invention includes steps S101 to S103:
s101, acquiring first image information of a region to be monitored.
S102, judging whether second image information is matched with the first image information in the database or not; the second image information is any one of the first image information in the database.
S103, if the second image information is matched with the first image information in the database, outputting first alarm information.
It can be understood that the second image information is image information when the area to be monitored is in an abnormal condition, and the abnormal condition of the area to be monitored means that a potential safety hazard exists in the area to be monitored, for example, there are dangerous objects such as sparks, flames, and objects in a burning form that are easy to cause a fire in the area to be monitored.
The intelligent early warning method provided by the embodiment of the invention comprises the steps of firstly obtaining first image information of an area to be monitored, then judging whether second image information is matched with the first image information in a database, and outputting first warning information if the second image information is matched with the first image information in the database. Therefore, the intelligent early warning method provided by the embodiment of the invention combines the image recognition technology and the video monitoring technology, monitors the area to be monitored according to the requirements of the user so as to early warn the safety condition in the area to be monitored in real time, can find the abnormal condition when the potential safety hazard happens right now, and then informs the user so as to enable the user to process in time and improve the safety.
For example, the user monitors the fire safety condition of the area to be monitored by adopting the intelligent early warning method provided by the embodiment of the invention. When dangerous objects which are easy to cause fire, such as sparks, flames, burning objects and the like, appear in the area to be monitored, the image information of the dangerous objects exists in the acquired first image information of the area to be monitored. The database stores first-type image information including second image information of a dangerous object that is likely to cause a fire, for example, image information of a spark, image information of a flame, and image information of an object in a combustion form in advance. And judging whether the first image information is matched with the second image information, and outputting first alarm information if the first image information is matched with the second image information. Therefore, the intelligent early warning method provided by the embodiment of the invention can give an alarm to the user when the fire disaster is in the initial state, namely when the fire disaster is not triggered, so that the user can process the dangerous objects in time, the fire disaster is avoided, and the fire safety is improved.
In order to enable those skilled in the art to more clearly understand the technical solution provided by the embodiment of the present invention, the intelligent early warning method provided by the present invention is described in detail below by using a specific embodiment, as shown in fig. 2, the method includes steps S201 to S208:
s201, acquiring first image information and position information of a region to be monitored.
For example, a user may install a camera device in an area to be monitored, and acquire first image information through the camera device, where the first image information includes a picture and/or a video. The image pickup device can be used for photographing the area in the area to be monitored to obtain the image, or recording the area in the area to be monitored to obtain the video. The picture taking may be periodically taking pictures according to a time interval preset by a monitoring user, and the video recording may obtain the latest image in the area to be monitored in real time.
In addition, the position information of the area to be monitored can be stored in the database in advance, and when the position information of the area to be monitored needs to be acquired, the position information is directly acquired from the database.
S202, judging whether second image information is matched with the first image information in the database; the second image information is any one of the first image information in the database.
If it is determined that the second image information is matched with the first image information in the database, executing S203; if it is determined that the second image information does not exist in the database and is matched with the first image information, S205 is performed.
Illustratively, step S202 may include steps S2021 to S2023:
s2021, extracting first feature information in the first image information.
And S2022, extracting second characteristic information in the second image information in the database.
S2023, judging whether the first characteristic information is matched with the second characteristic information; and if the first characteristic information is determined to be matched with the second characteristic information, determining that the second image information is matched with the first image information in the database.
For example, the first image information obtained in step S201 may be identified by an image identification algorithm, an object appearing in the first image information is identified, first characteristic information of the object appearing in the first image information is analyzed and extracted by an image analysis algorithm, and second characteristic information of second image information of a dangerous object that is easy to cause a fire, such as a spark, a flame, an object in a combustion form, and the like, which is pre-stored in a database; and then matching the first characteristic information with the second characteristic information through a matching algorithm. For example, the first feature information and each piece of second feature information may be sequentially matched until the second feature information that can be matched with the first feature information is found in the database, and the matching is considered to be successful; and if the second characteristic information matched with the first characteristic information is not found in the database, the matching is considered to be unsuccessful.
The matching algorithm may be an algorithm specifically based on an AI (artificial intelligence) technique or other programming algorithms, as long as the comparison analysis of the image can be realized, and the matching algorithm is not specifically limited herein.
S203, outputting the first alarm information and sending position information to the management terminal.
Specifically, the first alarm information at least comprises any one or more of an acoustic signal, an optical signal and an electrical signal; other modes such as vibration and the like are also possible, and are not limited herein.
For example, the first alarm information can link the indicator light and the alarm to send out an alarm signal. The indicator light can indicate the safety condition in the area to be monitored through the difference of the indicated colors. In this embodiment, when no abnormal conditions appear in waiting to monitor the region, the colour of pilot lamp is green, when having abnormal conditions to appear in waiting to monitor the region, the colour of pilot lamp is red, and the alarm that links simultaneously sends the chimes of doom.
According to the intelligent early warning method provided by the embodiment of the invention, if the second image information is determined to be matched with the first image information in the database, not only is the first warning information output, but also the corresponding position information can be sent to the management terminal. Therefore, the fire source can be automatically identified in the initial stage of the fire, and the position where the fire possibly occurs can be timely fed back in linkage with the video monitoring system.
And S204, sending the first image information to the management terminal.
For example, a network link may be sent to the management terminal, and the first image information of the area to be monitored, which is captured by the camera of the monitoring system, may be viewed through the network by clicking the link, so that the user may know the abnormal condition of the area to be monitored in more detail for handling.
The management terminal may be a computer, a mobile phone, a Personal Digital Assistant (PDA), a tablet computer, or other visual terminals.
S205, judging whether third image information is matched with the first image information in the database; the third image information is any one of the second type image information in the database.
Specifically, in this embodiment, the second type of image information is image information when the area to be monitored is in a normal state, and the fact that the area to be monitored is in the normal state means that no abnormal condition occurs in the area to be monitored.
If it is determined that the third image information is matched with the first image information in the database, executing S201; if it is determined that the third image information does not exist in the database and is matched with the first image information, S206 is performed.
S206, determining the first image information as abnormal image information.
And S207, outputting second alarm information and sending an instruction carrying abnormal image information to the management terminal.
S208, when a first response corresponding to the command sent by the management terminal is received, determining the abnormal image information as first-class image information and storing the first-class image information in a database; and when a second response corresponding to the command sent by the management terminal is received, determining the abnormal image information as second-class image information and storing the second-class image information in a database.
Illustratively, when there are non-extinguished cigarette ends in the trash pool of the area to be monitored, the image information of the non-extinguished cigarette ends is included in the first image information obtained in step S201. If the image information of the cigarette ends which are not extinguished is not stored in the database in advance, the second image information is not matched with the first image information, and the third image information is not matched with the first image information. Determining that the image information of the cigarette ends which are not extinguished is abnormal image information, and sending an instruction carrying the image information of the cigarette ends which are not extinguished to the management terminal. Specifically, in this embodiment, when the instruction is sent to the management terminal, the display interface of the management terminal may include the abnormal image information, and two options: a first option and a second option; the first option is whether the image information of the cigarette ends which are not extinguished is determined to be the first type of image information and is stored in a database; the second option is whether the image information of the cigarette ends which are not extinguished is determined as the second type of image information and stored in the database. When a first response corresponding to a first option sent by the management terminal after receiving an external operation instruction (for example, a person selects the first option on the management terminal interface through input equipment) is received, determining abnormal image information as first-class image information and storing the first-class image information in a database; and when a second response corresponding to a second option sent by the management terminal after receiving an external operation instruction (for example, a person selects the second option on the management terminal interface through the input device) is received, determining the abnormal image information as second-class image information and storing the second-class image information in the database. Therefore, the intelligent early warning method provided by the embodiment of the invention can automatically learn according to the feedback condition of the user, so that corresponding action can be performed when similar conditions occur again.
In addition, the second alarm information includes at least any one or more of an acoustic signal, a light signal, and an electric signal. It can be the same with first alarm information, also can be different with first alarm information. The alarm method is preferably different from the first alarm information, so that alarm can be distinguished, namely the first alarm information indicates that the area to be monitored is in an abnormal condition certainly, and the second alarm information indicates that the area to be monitored is likely to be in an abnormal condition.
In a second aspect, as shown in fig. 3, an embodiment of the present invention further provides an intelligent warning apparatus 300, where the apparatus 300 includes:
an obtaining unit 310, configured to obtain first image information of an area to be monitored;
a processing unit 320, configured to determine whether there is a match between the second image information in the database and the first image information acquired by the acquiring unit 310;
and an output unit 330, configured to output the first alarm information when the processing unit 320 determines that the second image information matches the first image information in the database.
First, an obtaining unit 310 obtains first image information of an area to be monitored, a processing unit 320 determines whether second image information is matched with the first image information in a database, and if it is determined that the second image information is matched with the first image information in the database, an output unit 330 outputs first alarm information. Therefore, the intelligent early warning device provided by the embodiment of the invention combines the image recognition technology and the video monitoring technology, monitors the area to be monitored according to the requirements of the user so as to early warn the safety condition in the area to be monitored in real time, can find the abnormal condition when the potential safety hazard happens right now, and then informs the user so as to enable the user to process in time and improve the safety.
For example, the user monitors the fire safety condition of the area to be monitored by using the intelligent early warning device provided by the embodiment of the invention. When there are dangerous objects that are liable to cause fire, such as sparks, flames, and burning objects, in the to-be-monitored area, the image information of the dangerous objects exists in the first image information of the to-be-monitored area acquired by the acquiring unit 310. The database stores first-type image information including second image information of a dangerous object that is likely to cause a fire, for example, image information of a spark, image information of a flame, and image information of an object in a combustion form in advance. The processing unit 320 determines whether the first image information is matched with the second image information, and if so, the output unit 330 outputs first alarm information. Therefore, the intelligent early warning device provided by the embodiment of the invention can give an alarm to the user when the fire disaster is in the initial state, namely the fire disaster is not triggered, so that the user can timely process the dangerous objects, the fire disaster is avoided, and the fire safety is improved.
Specifically, the first alarm information at least includes any one or more of an acoustic signal, an optical signal, and an electrical signal.
For example, the output unit 330 may include an indicator lamp and an alarm. The indicator light can indicate the safety condition in the area to be monitored through the difference of the indicated colors. In this embodiment, when no abnormal conditions appear in waiting to monitor the region, the colour of pilot lamp is green, when having abnormal conditions to appear in waiting to monitor the region, the colour of pilot lamp is red, and the alarm that links simultaneously sends the chimes of doom.
Referring to fig. 4, optionally, the intelligent warning apparatus 300 according to an embodiment of the present invention further includes a sending unit 340, configured to send the first image information to the management terminal 400 when the processing unit 320 determines that the second image information matches the first image information in the database.
Specifically, the sending unit 340 may send a network link to the management terminal 400, and click the link to view the first image information of the to-be-monitored area captured by the imaging device of the monitoring system through the network, so that the user may know the abnormal condition in more detail to handle the abnormal condition.
Specifically, the processing unit 320 is specifically configured to:
extracting first feature information in the first image information acquired by the acquisition unit 310;
extracting second characteristic information in second image information in the database;
judging whether the first characteristic information is matched with the second characteristic information;
and if the first characteristic information is determined to be matched with the second characteristic information, determining that the second image information is matched with the first image information in the database.
For example, the processing unit 320 may identify the first image information acquired by the acquiring unit 310 through an image identification algorithm, identify an object appearing in the first image information, analyze and extract first characteristic information of the object appearing in the first image information through an image analysis algorithm, and second characteristic information of second image information of a dangerous object that is easy to cause a fire, such as a spark, a flame, a burning form object, and the like, which is pre-stored in a database; and then matching the first characteristic information with the second characteristic information through a matching algorithm. For example, the processing unit 320 may match the first feature information with each of the second feature information in sequence, until the second feature information that can be matched with the first feature information is found in the database, the matching is considered to be successful; and if the second characteristic information matched with the first characteristic information is not found in the database, the matching is considered to be unsuccessful.
Optionally, the obtaining unit 310 is further configured to obtain location information of the area to be monitored;
the output unit 330 is further configured to send the location information acquired by the acquisition unit 310 to the management terminal 400 when the processing unit 320 determines that there is a match between the second image information and the first image information in the database.
In this way, if it is determined that the second image information matches the first image information in the database, the intelligent early warning device 300 according to the embodiment of the present invention not only outputs the first warning information, but also sends the location information to the management terminal 400. The intelligent early warning device 300 provided by the embodiment of the invention not only can automatically identify the fire source in the initial stage of the fire, but also can be linked with the video monitoring system to timely feed back the position where the fire possibly occurs.
Optionally, the processing unit 320 is further configured to determine whether third image information is matched with the first image information in the database if it is determined that the second image is not matched with the first image information in the database; the third image information is any one of the second images in the database;
if the processing unit 320 determines that the third image information does not exist in the database and is matched with the first image information, determining that the first image information is abnormal image information;
the output unit 330 is further configured to send an instruction carrying the abnormal image information determined by the processing unit 320 to the management terminal 400;
the processing unit 320 is further configured to:
when the acquiring unit 310 receives a first response corresponding to the instruction sent by the management terminal 400, the abnormal image information is determined as first-class image information and is stored in the database;
when the acquisition unit 310 receives a second response corresponding to the instruction sent by the management terminal 400, the abnormal image information is determined as second-type image information and stored in the database.
For example, when there is a cigarette end that is not extinguished in the trash pool of the area to be monitored, the image information of the cigarette end that is not extinguished is included in the first image information obtained by the obtaining unit 310. If the image information of the cigarette ends which are not extinguished is not stored in the database in advance, the second image information is not matched with the first image information, and the third image information is not matched with the first image information. The processing unit 320 determines that the image information of the non-extinguished cigarette end is abnormal image information, and sends an instruction carrying the image information of the non-extinguished cigarette end to the management terminal 400. Specifically, in this embodiment, when the instruction is sent to the management terminal 400, the display interface of the management terminal 400 may include the abnormal image information and two options: a first option and a second option; the first option is whether the image information of the cigarette ends which are not extinguished is determined to be the first type of image information and is stored in a database; the second option is whether the image information of the cigarette ends which are not extinguished is determined as the second type of image information and stored in the database. When receiving a first response corresponding to a first option sent by the management terminal 400 after receiving an external operation instruction (for example, a person selects the first option on the interface of the management terminal 400 through an input device), the intelligent early warning apparatus 300 according to the embodiment of the present invention determines the abnormal image information as a first type of image information, and stores the first type of image information in the database; when receiving a second response corresponding to a second option sent by the management terminal 400 after receiving an external operation instruction (for example, a person selects the second option on the interface of the management terminal 400 through an input device), the intelligent early warning apparatus 300 according to the embodiment of the present invention determines the abnormal image information as the second type of image information and stores the second type of image information in the database. Therefore, the intelligent early warning device provided by the embodiment of the invention can automatically learn according to the feedback condition of the user, so that corresponding action can be performed when similar conditions occur again.
After the processing unit 320 determines that the first image information is abnormal image information, the output unit 330 is further configured to output second alarm information.
Here, the second alarm information includes at least any one or more of an acoustic signal, a light signal, and an electric signal. It can be the same with first alarm information, also can be different with first alarm information. The alarm method is preferably different from the first alarm information, so that alarm can be distinguished, namely the first alarm information indicates that the area to be monitored is in an abnormal condition certainly, and the second alarm information indicates that the area to be monitored is likely to be in an abnormal condition.
In a third aspect, referring to fig. 5, an embodiment of the present invention further provides another intelligent warning apparatus, including a memory 51, a processor 52, a bus 53, and a communication interface 54; the memory 51 is used for storing computer execution instructions, and the processor 52 is connected with the memory 51 through a bus 53; when the control device of the temperature control apparatus operates, the processor 52 executes the computer-executable instructions stored in the memory 51 to cause the intelligent warning apparatus to perform the intelligent warning method provided in the above-described embodiment.
In particular implementations, processor 52(52-1 and 52-2) may include one or more CPUs, such as CPU0 and CPU1 shown in FIG. 5, for example, as one embodiment. And as an example, the intelligent warning apparatus may include a plurality of processors 52, such as processor 52-1 and processor 52-2 shown in fig. 5. Each of the processors 52 may be a single-Core Processor (CPU) or a multi-Core Processor (CPU). Processor 52 may refer herein to one or more devices, circuits, and/or processing cores that process data (e.g., computer program instructions).
The memory 51 may be, but is not limited to, a read-only memory 51 (ROM) or other type of static storage device that can store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory 51 may be self-contained and coupled to the processor 52 via a bus 53. The memory 51 may also be integrated with the processor 52.
In a specific implementation, the memory 51 is used for storing data in the present application and computer-executable instructions corresponding to software programs for executing the present application. The processor 52 may operate or execute software programs stored in the memory 51 and call up data stored in the memory 51 to perform various functions of the intelligent warning apparatus.
The communication interface 54 is any device, such as a transceiver, for communicating with other devices or communication networks, such as a control system, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), and the like. The communication interface 54 may include a receiving unit implementing a receiving function and a transmitting unit implementing a transmitting function.
The bus 53 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an extended ISA (enhanced industry standard architecture) bus, or the like. The bus 53 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.
In a fourth aspect, referring to fig. 6, an embodiment of the present invention further provides an intelligent warning system, including the intelligent warning apparatus 300 of the second aspect or the intelligent warning apparatus 500 of the third aspect.
The intelligent early warning system provided by the embodiment of the invention comprises the intelligent early warning device 300 of the second aspect or the intelligent early warning device 500 of the third aspect, so that the area to be monitored can be monitored according to the requirements of the user, the safety condition in the area to be monitored can be early warned in real time, the abnormal condition can be found just when the potential safety hazard occurs, and then the user is informed, so that the user can process in time, and the safety is improved.
For example, referring to fig. 6, the intelligent early warning system provided in the embodiment of the present invention may be specifically divided into a front-end layer 1, a service layer 2, and a management layer 3.
The front-end layer 1 may specifically comprise a camera 11 for capturing first image information of the area to be monitored.
The service layer 2 may specifically include a video monitoring server 21, the intelligent warning apparatus 300 of the second aspect or the intelligent warning apparatus 500 of the third aspect, and the storage array 23, that is, the database in the foregoing embodiments.
The video monitoring server 21 is specifically configured to store the first image information.
The intelligent warning apparatus 300 of the second aspect or the intelligent warning apparatus 500 of the third aspect is specifically configured to determine whether the second image information matches the first image information in the storage array 23.
The management layer 3 may specifically include a management terminal 400 and an audible and visual alarm 32.
The management terminal 400 is configured to output first image information in an area to be monitored; the audible and visual alarm 32 is used to send out alarm signals such as the first alarm information and the second alarm information in the above-mentioned embodiments.
The specific working process is as follows:
the front end layer 1 collects field information.
Specifically, the camera 11 captures an image or video in the area to be monitored.
The service layer 2 compares and analyzes the collected field information with the characteristic information pre-stored in the storage array 23 in real time to determine whether there is a fire.
Specifically, the video monitoring server 21 stores the image or the video, and the intelligent warning device 300 of the second aspect or the intelligent warning device 500 of the third aspect determines whether the second image information exists in the storage array 23 and matches with the image or the video. The storage array 23 stores image information of an object that is likely to cause a fire (e.g., a spark, a flame, an object in a burning state, etc.) in advance. When the result is matching, it is confirmed that the fire is present, and the audible and visual alarm 32 is linked to give an alarm and display the alarm at the management terminal 400; then, the fire information is stored in the storage array 23, deep analysis and learning are performed, and finally, the fire information is recorded into a fire information base. When the intelligent warning apparatus 300 of the second aspect or the intelligent warning apparatus 500 of the third aspect determines that it is not a fire, information is automatically filtered.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (14)
1. An intelligent early warning method is characterized by comprising the following steps:
acquiring first image information of a region to be monitored;
judging whether second image information is matched with the first image information in a database or not; the second image information is any one of the first image information in the database;
if the second image information is matched with the first image information in the database, outputting first alarm information;
if it is determined that the second image information does not exist in the database and the first image information is matched, judging whether third image information exists in the database and the first image information is matched; the third image information is any one of the second type of image information in the database;
if it is determined that the third image information does not exist in the database and the first image information is matched, determining that the first image information is abnormal image information;
sending an instruction carrying the abnormal image information to a management terminal;
when a first response corresponding to the instruction sent by the management terminal is received, determining the abnormal image information as the first type of image information, and storing the abnormal image information in the database;
and when a second response corresponding to the instruction sent by the management terminal is received, determining the abnormal image information as the second type of image information and storing the second type of image information in the database.
2. The intelligent warning method according to claim 1, wherein after determining that the second image information is matched with the first image information in the database, the method further comprises: and sending the first image information to a management terminal.
3. The intelligent warning method according to claim 1, wherein the first warning information at least includes any one or more of: acoustic, optical, electrical.
4. The intelligent early warning method according to claim 1, wherein the determining whether the second image information is matched with the first image information exists in the database comprises:
extracting first characteristic information in the first image information;
extracting second characteristic information in the second image information in the database;
judging whether the first characteristic information is matched with the second characteristic information;
and if the first characteristic information is determined to be matched with the second characteristic information, determining that the second image information is matched with the first image information in the database.
5. The intelligent warning method of claim 1, further comprising:
acquiring the position information of the area to be monitored;
and if the second image information is determined to be matched with the first image information in the database, sending the position information to a management terminal.
6. The intelligent early warning method according to claim 1, wherein after determining that the first image information is abnormal image information, the method further comprises: and outputting second alarm information.
7. An intelligent early warning device, comprising:
the device comprises an acquisition unit, a monitoring unit and a processing unit, wherein the acquisition unit is used for acquiring first image information of an area to be monitored;
the processing unit is used for judging whether second image information exists in a database and the first image information acquired by the acquisition unit is matched; the second image information is any one of the first image information in the database;
the output unit is used for outputting first alarm information when the processing unit determines that the second image information is matched with the first image information in the database;
the processing unit is further used for judging whether third image information is matched with the first image information in the database or not when the second image is determined not to be matched with the first image information in the database; the third image information is any one of the second type of image information in the database;
if the processing unit determines that the third image information does not exist in the database and the first image information is matched, determining that the first image information is abnormal image information;
the output unit is also used for sending an instruction carrying the abnormal image information determined by the processing unit to a management terminal;
the processing unit is further configured to determine the abnormal image information as the first type of image information and store the first type of image information in the database when the obtaining unit receives a first response corresponding to the instruction sent by the management terminal;
and the processing unit is also used for determining the abnormal image information as the second type of image information and storing the second type of image information into the database when the acquisition unit receives a second response corresponding to the instruction and sent by the management terminal.
8. The intelligent warning device of claim 7, wherein: the management terminal further comprises a sending unit, and the sending unit is used for sending the first image information to a management terminal when the processing unit determines that the second image information is matched with the first image information in the database.
9. The intelligent warning device of claim 7, wherein: the first alarm information at least comprises any one or more of the following items: acoustic, optical, electrical.
10. The intelligent early warning device according to claim 7, wherein the processing unit is specifically configured to:
extracting first feature information in the first image information acquired by the acquisition unit;
extracting second characteristic information in the second image information in the database;
judging whether the first characteristic information is matched with the second characteristic information;
and if the first characteristic information is determined to be matched with the second characteristic information, determining that the second image information is matched with the first image information in the database.
11. The intelligent early warning device according to claim 7, wherein the obtaining unit is further configured to obtain location information of the area to be monitored;
the output unit is further used for sending the position information acquired by the acquisition unit to a management terminal when the processing unit determines that the second image information is matched with the first image information in the database.
12. The intelligent early warning device according to claim 7, wherein the output unit is further configured to output second warning information after the processing unit determines that the first image information is abnormal image information.
13. An intelligent early warning device is characterized by comprising a memory, a processor, a bus and a communication interface; the memory is used for storing computer execution instructions, and the processor is connected with the memory through the bus; when the intelligent warning device is running, the processor executes the computer-executable instructions stored in the memory to cause the intelligent warning device to perform the intelligent warning method according to any one of claims 1-6.
14. An intelligent warning system, characterized by comprising the intelligent warning apparatus according to any one of claims 7 to 12.
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| CN113450532A (en) * | 2021-06-03 | 2021-09-28 | 河北华电石家庄热电有限公司 | Active potential safety hazard early warning system and identification method thereof |
| CN114419536A (en) * | 2021-12-17 | 2022-04-29 | 北京声智科技有限公司 | Alarm method, device, equipment and computer readable storage medium |
| CN117576623A (en) * | 2023-11-13 | 2024-02-20 | 济宁济化公用工程服务有限公司 | Intelligent park real-time monitoring system |
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