CN109862320B - Image collection and processing system and method thereof - Google Patents
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Abstract
The present invention provides an image collection and processing system and method thereof, wherein the system comprises: the system comprises an image processing device, an image collecting device and an intelligent terminal, wherein the image collecting device and the intelligent terminal are in communication connection with the image processing device; the method comprises the following steps: the method comprises the steps that an image processing device receives video image information sent by an image collecting device, wherein the image collecting device comprises a video monitoring device and a wireless sensor network; the image processing device correspondingly decompresses the received video image information, compares the contents of the video image information of the same sensor node in sequence and judges whether the early warning information needs to be generated or not; when the early warning information is generated, the image processing device sends the early warning information to a predetermined intelligent terminal.
Description
Technical Field
The invention relates to the technical field of video image acquisition and processing, in particular to an image collecting and processing system and an image collecting and processing method.
Background
The video monitoring system in the related art mainly comprises a network video server, a database server, a camera connected with the server through a network and the like. The system is generally large in size, complex in network topology, high in cost, and difficult to deploy in some harsh or special application environments. Meanwhile, the traditional video monitoring system mainly provides the functions of video or image acquisition and transmission, and cannot provide the functions of image analysis, intelligent early warning and the like.
Disclosure of Invention
In view of the above problems, the present invention provides an image collecting and processing system and a method thereof.
The purpose of the invention is realized by adopting the following technical scheme:
the present invention provides in a first aspect an image collection and processing system comprising:
the system comprises an image processing device, an image collecting device and an intelligent terminal, wherein the image collecting device and the intelligent terminal are in communication connection with the image processing device;
the image collecting device comprises a video monitoring device and a wireless sensor network, wherein the video monitoring device is responsible for collecting video image information in a monitored area and compressing original video image information by an image compression algorithm to enable the original video image information to adapt to the transmission of the wireless sensor network;
the wireless sensor network comprises a sink node and a plurality of sensor nodes arranged in a preset video collecting area, and each sensor node is connected with a video monitoring device to collect correspondingly compressed video image information; video image information collected by each sensor node is sent to the sink node, and the sink node sinks each video image information and transmits the video image information to the image processing device;
the image processing device correspondingly decompresses the received video image information, compares the contents of the video image information of the same sensor node in sequence and judges whether the early warning information needs to be generated or not;
the image processing device is also used for sending the generated early warning information to a predetermined intelligent terminal.
In an embodiment, comparing the contents of the sequential video image information of the same sensor node, and determining whether the early warning information needs to be generated may be: if the change value of an image in the frequency domain exceeds a preset change value threshold value, generating early warning information, wherein the early warning information can comprise the image and/or a sensor node identifier corresponding to the image. In another embodiment, the invention can also judge whether the early warning information needs to be generated according to the comparison result of the features by extracting other features in the video image information.
In one implementation manner of the first aspect of the present invention, the image processing apparatus is further configured to store the received video image information.
In an implementation manner of the first aspect of the present invention, the image processing apparatus includes a database server, a data analysis server and a communication server, where the database server is mainly responsible for storing video image information received from the image collecting apparatus into an internal database, and the data analysis server is mainly responsible for analyzing and warning the stored video image information; the communication server provides corresponding access interfaces for the image collecting device and the intelligent terminal, and provides inquiry, deletion, marking, importing and exporting functions for the intelligent terminal by calling the stored video image information.
In an implementation manner of the first aspect of the present invention, the database includes a first database and a second database, the first database is used for storing video image information corresponding to the early warning information, and the second database is used for storing video image information that is not early warned. According to the embodiment, different types of video image information are stored in a partitioned mode, and a user can conveniently access corresponding data through the intelligent terminal.
A second aspect of the present invention provides an image collecting and processing method, which is supported in the video image acquiring and processing system, and comprises:
the image processing device receives video image information sent by the image collecting device, wherein the image collecting device comprises a video monitoring device and a wireless sensor network, the video monitoring device is responsible for collecting the video image information in a monitored area, and the original video image information is compressed by an image compression algorithm to be suitable for transmission of the wireless sensor network; the wireless sensor network comprises a sink node and a plurality of sensor nodes arranged in a preset video collecting area, and each sensor node is connected with a video monitoring device to collect correspondingly compressed video image information; video image information collected by each sensor node is sent to the sink node, and the sink node sinks each video image information and transmits the video image information to the image processing device;
the image processing device correspondingly decompresses the received video image information, compares the contents of the video image information of the same sensor node in sequence and judges whether the early warning information needs to be generated or not;
when the early warning information is generated, the image processing device sends the early warning information to a predetermined intelligent terminal.
In an implementation manner of the second aspect of the present invention, the comparing the contents of the sequential video image information of the same sensor node to determine whether the generation of the early warning information is required includes:
comparing frequency domain information of video image information of the same sensor node, and if the change value of an image in the frequency domain exceeds a preset change value threshold value, generating early warning information, wherein the early warning information comprises the image and/or a sensor node identifier corresponding to the image.
In one implementable manner of the second aspect of the present invention, the image processing apparatus is provided with a database including a first database and a second database, the method further comprising: the image processing device stores the video image information corresponding to the early warning information in the first database, and stores the video image information which is not early warned in the second database.
In one enabling form of the second aspect of the invention, the method further comprises:
the image processing device receives an encryption instruction of the predetermined intelligent terminal, wherein the encryption instruction comprises a sensor node identifier;
and the image processing device encrypts the video image information corresponding to the sensor node identifier in the encryption instruction by adopting a preset encryption algorithm.
According to the embodiment, the video image information appointed by the user is encrypted, so that the important video image information is prevented from being leaked, the privacy of the user is protected, and the safety of the video image information is greatly improved.
The invention has the beneficial effects that: the defects that a traditional wiring video monitoring system and a network camera are high in cost, difficult in system deployment and high in installation and maintenance difficulty are overcome, integration of acquisition and processing of video image information is achieved through access integration of the image processing device and the image collecting device, early warning can be timely achieved when the video image information is abnormal, and early warning performance of the system is greatly improved.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a block schematic diagram of the structure of an image collection and processing system of an exemplary embodiment of the present invention;
FIG. 2 is a schematic flow diagram of an image collection and processing method in accordance with an exemplary embodiment of the present invention.
Reference numerals:
the system comprises an image processing device 1, an image collecting device 2 and a smart terminal 3.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1, an embodiment of a first aspect of the present invention provides an image collection and processing system, comprising:
the system comprises an image processing device 1, an image collecting device 2 and an intelligent terminal 3, wherein the image collecting device 2 and the intelligent terminal 3 are in communication connection with the image processing device 1;
the image collecting device 2 comprises a video monitoring device and a wireless sensor network, wherein the video monitoring device is responsible for collecting video image information in a monitored area and compressing original video image information by an image compression algorithm to enable the original video image information to adapt to the transmission of the wireless sensor network;
the wireless sensor network comprises a sink node and a plurality of sensor nodes arranged in a preset video collecting area, and each sensor node is connected with a video monitoring device to collect correspondingly compressed video image information; video image information collected by each sensor node is sent to the sink node, and the sink node sinks each video image information and transmits the video image information to the image processing device 1;
the image processing device 1 correspondingly decompresses the received video image information, compares the contents of the video image information of the same sensor node in sequence, and judges whether the early warning information needs to be generated or not;
the image processing device 1 is further configured to send the generated warning information to a predetermined intelligent terminal 3.
In an embodiment, comparing the contents of the sequential video image information of the same sensor node, and determining whether the early warning information needs to be generated may be: if the change value of an image in the frequency domain exceeds a preset change value threshold value, generating early warning information, wherein the early warning information can comprise the image and/or a sensor node identifier corresponding to the image. In another embodiment, the invention can also judge whether the early warning information needs to be generated according to the comparison result of the features by extracting other features in the video image information.
In an implementable manner of the first aspect of the present invention, the image processing apparatus 1 is further configured to store the received video image information.
In an implementation manner of the first aspect of the present invention, the image processing apparatus 1 includes a database server, a data analysis server and a communication server, the database server is mainly responsible for storing the video image information received from the image collecting apparatus 2 into an internal database, and the data analysis server is mainly responsible for analyzing and warning the stored video image information; the communication server provides corresponding access interfaces for the image collecting device 2 and the intelligent terminal 3, and provides functions of inquiring, deleting, marking, importing and exporting for the intelligent terminal 3 by calling the stored video image information.
In an implementation manner of the first aspect of the present invention, the database includes a first database and a second database, the first database is used for storing video image information corresponding to the early warning information, and the second database is used for storing video image information that is not early warned. In the embodiment, different types of video image information are stored in a partitioned manner, so that a user can access corresponding data through the intelligent terminal 3 conveniently.
As shown in fig. 2, a second aspect of the present invention provides an image collecting and processing method, which is implemented in the video image acquiring and processing system, and includes:
s1 the image processing device 1 receives the video image information sent by the image collecting device 2, wherein the image collecting device 2 includes a video monitoring device and a wireless sensor network, the video monitoring device is responsible for collecting the video image information in the monitored area, and compresses the original video image information by the image compression algorithm to make it adapt to the transmission of the wireless sensor network; the wireless sensor network comprises a sink node and a plurality of sensor nodes arranged in a preset video collecting area, and each sensor node is connected with a video monitoring device to collect correspondingly compressed video image information; the video image information collected by each sensor node is sent to the sink node, and the sink node sinks each video image information and transmits the video image information to the image processing device 1.
S2, the image processing apparatus 1 correspondingly decompresses the received video image information, compares the contents of the video image information of the same sensor node, and determines whether it is necessary to generate the warning information.
When warning information is generated, in S3, the image processing apparatus 1 transmits the warning information to a predetermined smart terminal 3.
In an implementation manner of the second aspect of the present invention, the comparing the contents of the sequential video image information of the same sensor node to determine whether the generation of the early warning information is required includes:
comparing frequency domain information of video image information of the same sensor node, and if the change value of an image in the frequency domain exceeds a preset change value threshold value, generating early warning information, wherein the early warning information comprises the image and/or a sensor node identifier corresponding to the image.
In an implementable manner of the second aspect of the present invention, the image processing apparatus 1 is provided with a database including a first database and a second database, the method further comprising: the image processing apparatus 1 stores the video image information corresponding to the warning information in the first database, and stores the video image information which is not warned in the second database.
In one enabling form of the second aspect of the invention, the method further comprises:
the image processing device 1 receives an encryption instruction of the predetermined intelligent terminal 3, wherein the encryption instruction comprises a sensor node identifier;
the image processing device 1 encrypts the video image information corresponding to the sensor node identifier in the encryption command by using a preset encryption algorithm.
According to the embodiment, the video image information appointed by the user is encrypted, so that the important video image information is prevented from being leaked, the privacy of the user is protected, and the safety of the video image information is greatly improved.
The embodiment of the invention overcomes the defects of high cost, difficult system deployment and difficult installation and maintenance of the traditional wiring video monitoring system and the network camera, realizes the integration of acquisition and processing of video image information through the access integration of the image processing device 1 and the image collecting device 2, can give an early warning in time when the video image information is abnormal, and greatly improves the early warning performance of the system.
In the above video image acquisition and processing system and method, each sensor node sends acquired video image information to the sink node according to its own communication level, including:
the first-level sensor node adopts a direct communication mode, the second-level sensor node selects a direct communication mode or an indirect communication mode according to the current residual energy of the second-level sensor node, and the third-level sensor node adopts an indirect communication mode;
wherein the direct communication mode is: the sensor node directly sends the acquired video image information to the sink node; the indirect communication mode is as follows: the sensor nodes select one sensor node from the sensor nodes in the communication range of the sensor nodes as a next hop node, and the acquired video image information is sent to the next hop node so as to be forwarded by the next hop node until the video image information is transmitted to the sink node;
wherein, the adjustable communication distance range of each sensor node is Smin,Smax]The communication level of the sensor node is determined by the sink node, and specifically comprises the following steps:
(1) when a network is initialized, the sink node broadcasts hello messages to all sensor nodes and starts a timer, after all sensor nodes receive the hello messages, the sensor nodes calculate own communication advantage values and send feedback messages to the sink node, wherein the feedback messages comprise sensor node identifiers, the communication advantage values and position information:
in the formula, HyIs the communication dominance value, N, of the sensor node yyFor the number of sensor nodes located within the communication range of sensor node y,
the distance between the sensor node y and the sensor node y within the communication range of the sensor node y is less than
The number of sensor nodes of (a);
(2) a preset first direct communication distance threshold value Zτ1Second direct communication distance threshold value Zτ2，Smax>Zτ2>Zτ1The sink node distributes the communication level of the sensor node according to the position information and the communication advantage value of each sensor node, and broadcasts distribution information to each sensor node: if the distance from the sensor node to the sink node is not more than Zτ1Or the distance from the sensor node to the sink node is [ Z ]τ1,Zτ2]If the communication advantage value is greater than 1/2, the communication level of the sensor node is assigned as one level; if sensorThe distance from the node to the sink node is [ Z ]τ1,Zτ2]If the communication advantage value is not greater than 1/2, the communication level of the sensor node is allocated as second level; if the distance from the sensor node to the sink node is greater than Zτ2The communication level of the sensor node is assigned to three levels.
In this embodiment, each sensor node sends the acquired video image information to the sink node according to its own communication level, where the communication level is determined by the sink node according to the communication advantage value and the location information of the sensor node. The embodiment creatively provides a new index of the communication advantage value, the index is calculated by each sensor node and fed back to the sink node, the calculation load of each sensor node is balanced, and the efficiency of distributing the communication grade to each sensor node is improved; by setting the communication level, the flexibility of sensor node routing is improved, a proper routing mode is determined for the sensor node, and the energy consumption of the sensor node far away from the sink node in the aspect of sending video image information is saved.
In one embodiment, the secondary sensor node selects a direct communication mode or an indirect communication mode according to its current remaining energy, specifically: the distance between the second-level sensor node and the nearest sensor node is set as ZminThe distance from the node of the second-level sensor to the sink node is ZoIf Z ismin-ZoThe secondary sensor node is more than or equal to 0, and a direct communication mode is always selected; if Z ismin-Zo<0, the secondary sensor node calculates the communication distance threshold S of the secondary sensor nodeTIf S isT≥ZoIf so, the secondary sensor node selects a direct communication mode; if ST<ZoIf so, the secondary sensor node selects an indirect communication mode and takes the sensor node closest to the secondary sensor node as a next hop node;
wherein the communication distance threshold value STCalculated according to the following formula:
in the formula, E0Initial energy of the secondary sensor node, EIs the current remaining energy of the secondary sensor node.
In this embodiment, the secondary sensor node can adjust its own communication mode according to its own current residual energy, which improves the flexibility of routing of the secondary sensor node. The embodiment of the invention innovatively designs the measurement index of the communication distance threshold according to the energy factor, and determines the communication mode of the secondary sensor node according to the comparison result of the communication distance threshold and the distance to the sink node, so that the method is beneficial to optimally saving the energy of the secondary sensor node and delaying the energy consumption of the secondary sensor node on the premise of ensuring the reliability of the secondary sensor node in the aspect of sending video image information, thereby prolonging the working period of the secondary sensor node and further prolonging the service life of the wireless sensor network as a whole.
In one embodiment, when the third-level sensor node selects the next-hop node, the following steps are specifically performed:
(1) the three-level sensor nodes acquire sensor nodes which are closer to the sink node relative to the sensor nodes in the communication range of the three-level sensor nodes as alternative nodes, and an alternative node set is constructed;
(2) initially, the three-level sensor node determines the selection distance as SmaxAnd selecting the candidate node set with the closest S distance to the candidate node setmaxThe alternative node of (2) is used as a next hop node;
(3) every other preset period delta T, the selection distance is updated by the third-level sensor node according to the following formula, and the alternative node with the distance closest to the current updated selection distance is selected as the next-hop node again:
in the formula, SbSelecting a distance for the currently updated tertiary sensor node b, EbIs the current residual energy of the three-level sensor node b, E0bIs a three-level sensorInitial energy of node b.
When the number of updating reaches a preset number threshold, or the updated selection distance is less than SminAnd when the node is updated, the node of the third-level sensor stops updating the node of the next hop.
The embodiment provides a specific mechanism for selecting the next-hop node by the three-level sensor node, wherein a selection index for selecting the distance is provided. According to the embodiment, the selection distance is determined according to the energy of the three-level sensor node, and the alternative node which is closest to the current updated selection distance is selected as the next hop node, so that the number of the next hop nodes for forwarding the video image information is reduced as much as possible on the premise of ensuring the reliable forwarding of the video image information, and the efficiency of forwarding the video image information is improved.
It will be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the system is divided into different functional modules to perform all or part of the above described functions. For the specific working process of the system and the terminal described above, reference may be made to the corresponding process in the foregoing method embodiment, which is not described herein again.
From the above description of embodiments, it is clear for a person skilled in the art that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For a hardware implementation, a processor may be implemented in one or more of the following units: an application specific integrated circuit, a digital signal processor, a digital signal processing system, a programmable logic device, a field programmable gate array, a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the procedures of an embodiment may be performed by a computer program instructing associated hardware. In practice, the program may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. The computer-readable medium can include, but is not limited to, random access memory, read only memory images, electrically erasable programmable read only memory or other optical disk storage, magnetic disk storage media or other magnetic storage systems, 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.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (8)
1. Image collection and processing system, characterized in that it comprises:
the system comprises an image processing device, an image collecting device and an intelligent terminal, wherein the image collecting device and the intelligent terminal are in communication connection with the image processing device;
the image collecting device comprises a video monitoring device and a wireless sensor network, wherein the video monitoring device is responsible for collecting video image information in a monitored area and compressing original video image information by an image compression algorithm to enable the original video image information to adapt to the transmission of the wireless sensor network;
the wireless sensor network comprises a sink node and a plurality of sensor nodes arranged in a preset video collecting area, and each sensor node is connected with a video monitoring device to collect correspondingly compressed video image information; video image information collected by each sensor node is sent to the sink node, and the sink node sinks each video image information and transmits the video image information to the image processing device;
the image processing device correspondingly decompresses the received video image information, compares the contents of the video image information of the same sensor node in sequence and judges whether the early warning information needs to be generated or not;
the image processing device is also used for sending the generated early warning information to a predetermined intelligent terminal;
each sensor node sends the collected video image information to the sink node according to the communication level of the sensor node, and the method comprises the following steps:
the first-level sensor node adopts a direct communication mode, the second-level sensor node selects a direct communication mode or an indirect communication mode according to the current residual energy of the second-level sensor node, and the third-level sensor node adopts an indirect communication mode;
wherein the direct communication mode is: the sensor node directly sends the acquired video image information to the sink node; the indirect communication mode is as follows: the sensor nodes select one sensor node from the sensor nodes in the communication range of the sensor nodes as a next hop node, and the acquired video image information is sent to the next hop node so as to be forwarded by the next hop node until the video image information is transmitted to the sink node;
wherein, the adjustable communication distance range of each sensor node is Smin,Smax]The communication level of the sensor node is determined by the sink node, and specifically comprises the following steps:
(1) when a network is initialized, the sink node broadcasts hello messages to all sensor nodes and starts a timer, after all sensor nodes receive the hello messages, the sensor nodes calculate own communication advantage values and send feedback messages to the sink node, wherein the feedback messages comprise sensor node identifiers, the communication advantage values and position information:
in the formula, HyCommunication advantage value for sensor node y，NyFor the number of sensor nodes located within the communication range of sensor node y,
the distance between the sensor node y and the sensor node y within the communication range of the sensor node y is less than
The number of sensor nodes of (a);
(2) presetting a first direct communication distance threshold value Zτ1Second direct communication distance threshold value Zτ2，Smax>Zτ2>Zτ1The sink node distributes the communication level of the sensor node according to the position information and the communication advantage value of each sensor node, and broadcasts distribution information to each sensor node: if the distance from the sensor node to the sink node is not more than Zτ1Or the distance from the sensor node to the sink node is [ Z ]τ1,Zτ2]If the communication advantage value is greater than 1/2, the communication level of the sensor node is assigned as one level; if the distance from the sensor node to the sink node is [ Z ]τ1,Zτ2]If the communication advantage value is not greater than 1/2, the communication level of the sensor node is allocated as second level; if the distance from the sensor node to the sink node is greater than Zτ2The communication level of the sensor node is assigned to three levels.
2. The image collection and processing system of claim 1, wherein the image processing device is further configured to store the received video image information.
3. The image collecting and processing system of claim 2, wherein the image processing device comprises a database server, a data analysis server and a communication server, the database server is mainly responsible for storing the video image information received from the image collecting device into an internal database, and the data analysis server is mainly responsible for analyzing and warning the stored video image information; the communication server provides corresponding access interfaces for the image collecting device and the intelligent terminal, and provides inquiry, deletion, marking, importing and exporting functions for the intelligent terminal by calling the stored video image information.
4. The image collection and processing system of claim 3, wherein the database comprises a first database for storing video image information corresponding to pre-warning information and a second database for storing video image information that has not been pre-warned.
5. An image collection and processing method, characterized in that the method comprises:
the image processing device receives video image information sent by the image collecting device, wherein the image collecting device comprises a video monitoring device and a wireless sensor network, the video monitoring device is responsible for collecting the video image information in a monitored area, and the original video image information is compressed by an image compression algorithm to be suitable for transmission of the wireless sensor network; the wireless sensor network comprises a sink node and a plurality of sensor nodes arranged in a preset video collecting area, and each sensor node is connected with a video monitoring device to collect correspondingly compressed video image information; video image information collected by each sensor node is sent to the sink node, and the sink node sinks each video image information and transmits the video image information to the image processing device;
the image processing device correspondingly decompresses the received video image information, compares the contents of the video image information of the same sensor node in sequence and judges whether the early warning information needs to be generated or not;
when early warning information is generated, the image processing device sends the early warning information to a predetermined intelligent terminal;
each sensor node sends the collected video image information to the sink node according to the communication level of the sensor node, and the method comprises the following steps:
the first-level sensor node adopts a direct communication mode, the second-level sensor node selects a direct communication mode or an indirect communication mode according to the current residual energy of the second-level sensor node, and the third-level sensor node adopts an indirect communication mode;
wherein the direct communication mode is: the sensor node directly sends the acquired video image information to the sink node; the indirect communication mode is as follows: the sensor nodes select one sensor node from the sensor nodes in the communication range of the sensor nodes as a next hop node, and the acquired video image information is sent to the next hop node so as to be forwarded by the next hop node until the video image information is transmitted to the sink node;
wherein, the adjustable communication distance range of each sensor node is Smin,Smax]The communication level of the sensor node is determined by the sink node, and specifically comprises the following steps:
(1) when a network is initialized, the sink node broadcasts hello messages to all sensor nodes and starts a timer, after all sensor nodes receive the hello messages, the sensor nodes calculate own communication advantage values and send feedback messages to the sink node, wherein the feedback messages comprise sensor node identifiers, the communication advantage values and position information:
in the formula, HyIs the communication dominance value, N, of the sensor node yyFor the number of sensor nodes located within the communication range of sensor node y,
the distance between the sensor node y and the sensor node y within the communication range of the sensor node y is less than
The number of sensor nodes of (a);
(2) a preset first direct communication distance thresholdZτ1Second direct communication distance threshold value Zτ2，Smax>Zτ2>Zτ1The sink node distributes the communication level of the sensor node according to the position information and the communication advantage value of each sensor node, and broadcasts distribution information to each sensor node: if the distance from the sensor node to the sink node is not more than Zτ1Or the distance from the sensor node to the sink node is [ Z ]τ1,Zτ2]If the communication advantage value is greater than 1/2, the communication level of the sensor node is assigned as one level; if the distance from the sensor node to the sink node is [ Z ]τ1,Zτ2]If the communication advantage value is not greater than 1/2, the communication level of the sensor node is allocated as second level; if the distance from the sensor node to the sink node is greater than Zτ2The communication level of the sensor node is assigned to three levels.
6. The image collection and processing method of claim 5, wherein the method further comprises: the image processing apparatus also stores the received video image information.
7. The image collection and processing method of claim 6, wherein the image processing device is provided with a database, the database comprising a first database and a second database, the method further comprising: the image processing device stores the video image information corresponding to the early warning information in the first database, and stores the video image information which is not early warned in the second database.
8. The image collection and processing method of claim 5, further comprising:
the image processing device receives an encryption instruction of the predetermined intelligent terminal, wherein the encryption instruction comprises a sensor node identifier;
and the image processing device encrypts the video image information corresponding to the sensor node identifier in the encryption instruction by adopting a preset encryption algorithm.
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