Disclosure of Invention
In order to solve the technical problems, the invention provides the Internet-based monitoring home security management digital set top box and the Internet-based monitoring home security management digital set top box system.
In order to solve the technical problems, the invention provides the following technical scheme:
in a first aspect, the present invention provides an internet-based monitoring home security management digital set-top box, comprising: the system comprises a digital video broadcasting DVB module, a network connection unit, a multi-port exchange chip, a WIFI transmission module, a receiving module and an authentication module;
the digital video broadcasting DVB module, the multi-port exchange chip, the network connection unit and the receiving module are controlled by the central controller, the network connection unit transmits signals to the WIFI transmission module, the authentication module transmits signals to the digital video broadcasting DVB module, and the network connection unit is in signal communication with the receiving module; the multi-port switching chip is connected with the input end and the output end of the set top box;
the central controller is used for processing the monitoring information acquired by the composite sensor, and the multi-port switching chip is used for forwarding the acquired monitoring information to the central controller;
the composite sensor comprises at least one sensor, the sensor is connected with various monitored household equipment or is positioned in a monitored area, the output end of the composite sensor is connected with the input end of the multi-port switching chip, and the output end of the multi-port switching chip is connected with an external terminal through the network connection unit.
The invention provides an Internet-based monitoring home security management digital set top box, which adopts the technical scheme that: the system comprises a digital video broadcasting DVB module, a network connection unit, a multi-port exchange chip, a WIFI transmission module, a receiving module and an authentication module; the digital video broadcasting DVB module, the multi-port exchange chip, the network connection unit and the receiving module are controlled by the central controller, the network connection unit transmits signals to the WIFI transmission module, the authentication module transmits signals to the digital video broadcasting DVB module, and the network connection unit is in signal communication with the receiving module; the multi-port switching chip is connected with the input end and the output end of the set top box; the central controller is used for processing the monitoring information acquired by the composite sensor, and the multi-port switching chip is used for forwarding the acquired monitoring information to the central controller; the composite sensor comprises at least one sensor, the sensor is connected with various monitored household equipment or is positioned in a monitored area, the output end of the composite sensor is connected with the input end of the multi-port switching chip, and the output end of the multi-port switching chip is connected with an external terminal through the network connection unit.
According to the Internet-based monitoring home security management digital set top box, the set top box is used for carrying out centralized processing on the monitoring information acquired by the composite sensor, so that various types of monitoring information of a monitored area can be comprehensively monitored, the system cost is saved, the wiring is simplified, and the system stability is improved.
Further, the monitored household equipment comprises one or more of a gas stove, a television, a refrigerator, an air conditioner, a lamp and a water heater.
Further, the composite sensor comprises a processor, a light sensor, a gas sensor, a humidity sensor, a temperature sensor, a proximity sensor, an infrared sensor and a communication interface; the processor is respectively connected with the optical sensor, the gas sensor, the humidity sensor, the temperature sensor, the proximity sensor, the infrared sensor and the communication interface.
Further, the central controller includes a database, a personal/home data manager, a data history manager, an authorization manager, a data sensitivity check manager, a sensitive data analysis manager, a device manager, a user manager, a log manager, a security manager, a service manager, and a service providing manager;
the user manager is used for managing authorized users and related files thereof; wherein the files include a user profile, a user address file, and a phone number file associated with the user;
the personal/family data manager is used for protecting the user personal file of the authorized user managed by the user manager;
the authorization manager is used for granting the authority to the appointed user and enabling the appointed user to access or share the data of other users;
the data history manager is used for monitoring the activity of the storage data authorized by the personal/family data manager, and specifically comprises: accessing the historical access time point, the access content and the execution operation corresponding relation in the database;
the service manager is used for pushing a service directory to a user, and the service directory enumerates service contents provided by the set top box to the user;
the service providing manager is used for automatically managing the access of the user to the cloud server;
the log manager is used for recording the content of the event or activity occurring in the cloud server and the corresponding time point;
the equipment manager is used for recording the operation information of the monitored equipment in each authorized user;
the data sensitivity inspection manager is used for inspecting service information requested by a user and judging the storage position of service data requested by the user in the database;
the sensitive data analysis manager is used for comprehensively analyzing the received monitoring information based on a neural network, firstly deducing the behavior habit of a person by referring to historical data of the same guardian stored in a database, then judging whether the monitoring information conforms to the behavior habit of the person, and if not, sending a reminding notification message to a reserved corresponding mobile phone number;
the security manager is used to provide authentication, authorization and key management for the service.
In a second aspect, the present invention provides a method for controlling a digital set top box for monitoring home security management based on the internet, including:
step S1, respectively installing the composite sensors in each monitored area; the composite sensor comprises at least one sensor, and the sensor is connected with various monitored equipment or is positioned in a monitored area;
s2, acquiring monitoring information through the composite sensor, and sending the monitoring information to the set top box; the monitoring information comprises equipment operation parameters of various monitored equipment connected with the monitoring information and environment information of a monitored area;
s3, receiving the monitoring information through the set top box, and encrypting the monitoring information to obtain encrypted monitoring information;
s4, decrypting the received encrypted monitoring information through the central controller, restoring to obtain the monitoring information, and storing the monitoring information into a database;
and S5, analyzing the data stored in the database by the central controller by adopting a neural network method, judging whether the monitoring information is abnormal, and if so, sending reminding information to a reserved mobile phone number corresponding to the monitored area.
The invention provides a control method for monitoring home security management digital set top box based on internet, which has the technical scheme that: respectively installing the composite sensor in each monitored area; the composite sensor comprises at least one sensor, and the sensor is connected with various monitored equipment or is positioned in a monitored area; collecting monitoring information through the composite sensor, and sending the monitoring information to the set top box; the monitoring information comprises equipment operation parameters of various monitored equipment connected with the monitoring information and environment information of a monitored area; receiving the monitoring information through the set top box, and encrypting the monitoring information to obtain encrypted monitoring information; decrypting the received encrypted monitoring information through the central controller, restoring to obtain the monitoring information, and storing the monitoring information into a database; and analyzing the data stored in the database by the central controller by adopting a neural network method, judging whether the monitoring information is abnormal, and if so, sending reminding information to a reserved mobile phone number corresponding to the monitored area.
According to the control method for monitoring the home security management digital set top box based on the Internet, the set top box is used for carrying out centralized processing on the monitoring information acquired by the composite sensor, various types of monitoring information of a monitored area can be comprehensively monitored, the system cost is saved, the wiring is simplified, and the system stability is improved.
Further, the S5 specifically is: the method comprises the following steps of learning the daily behavior habits of people by adopting a neural network, training and correcting by adopting multilayer perception back propagation, and establishing a behavior habit neural network model;
and predicting and analyzing the future behavior of the person according to the established behavior habit neural network model.
Furthermore, the method adopts the daily behavior habit of a person based on neural network learning and adopts multilayer perception back propagation to train and correct, and the establishment of the behavior habit neural network model specifically comprises the following steps:
step S51, a topological structure of a feedforward neural network is created, wherein the feedforward neural network comprises an input layer, a hidden layer and an output layer; the input layer is provided with N input variables, and the hidden layer is provided with M = N, N +1, N +2 \ 8230, \ 8230and hidden units; the output layer has P output variables;
the input variables comprise a building number, a floor number, a dormitory number, a room number and operation information executed on specific applications in the room when the room is existed;
the output variables are: when the specific application in the room is abnormal, sending an abnormal reminding message to a mobile phone user corresponding to the room;
and S52, training the neural network by using the historical data as sample data of the neural network training and using a back propagation algorithm to obtain the behavior habit neural network model.
Further, in step S3, the set top box receives the monitoring information, and encrypts the monitoring information, specifically:
generating a random number sequence { Rn } by a key generator in the set top box;
with random number sequence { Rn Carrying out first-stage encryption on plaintext data of the set top box by using a key, and outputting ciphertext data of the set top box;
using root key pair random number sequence Rn InPerforming second-stage encryption, and outputting the encrypted random number sequence { Rn And the key data is used as the key data of the set-top box.
Further, the key generator randomly generates a random number sequence Rn The method comprises the following steps:
let vector sequence { Sn The number of the channels is as follows,
wherein,is a sequence of vectors Sn I is in the range of 0 ≦ i ≦ 14, and an initial vector S0 Is S0 ＝[65535，0，0，65535，0，65535，0，0，0，0，0，0，0]Mod is the modulo operation, b =65536;
let a number of rows Fn In order to realize the purpose of the method,
where mod is the modulo operation, b =65536;
setting a number sequence Wn Satisfies the formula (1),
wherein a =40307, b =65536,w0 And C0 Is an initial random seed number, satisfies 0<W0 &B and 0<C0 &A mod is a modulus operation, namely a rounding-down operation;
a sequence Fn And the number series Wn XOR according to the bit to obtain a random number sequence { Rn The number of the channels is as follows,
Rn ＝Wn +Fn
wherein n belongs to Z, n is more than or equal to 0, Z is an integer field, and ^ A is subjected to the ampere-bit XOR operation.
Further, in step S2, the monitoring information is sent to the set top box in a multi-network access manner, specifically:
during initialization, VLAN is divided for each port of a multi-port exchange chip of the set top box, and VLAN attributes are set;
when receiving the monitoring information, the multi-port switching chip forwards the monitoring information to a central controller of the set top box;
the central controller distinguishes the service of the monitoring information and processes the monitoring information correspondingly according to the received VLAN identification of the monitoring information, and returns the processing result to the multi-port switching chip;
and the multi-port switching chip sends the monitoring information out through a corresponding port according to the VLAN identification of the monitoring information returned by the central controller.
Compared with the prior art, the invention has the beneficial effects that:
(1) The set-top box is used for carrying out centralized processing on the monitoring information acquired by the composite sensor, so that various types of monitoring information of a monitored area can be comprehensively monitored, the system cost is saved, the wiring is simplified, and the system stability is improved;
(2) The set-top box has a data encryption function, so that the safety of the monitoring system is improved;
(3) The set top box adopts a plurality of components, so that the safety of data stored in the set top box is guaranteed;
(4) The set top box analyzes the behavior habits of people by adopting a neural network technology, and sends reminding information to mobile phones of related users when the monitoring data are found to be inconsistent with the behavior habits of people, so that the user experience is improved.
Example one
This implementation provides a control house safety management digital set-top box based on internet, refer to fig. 1, embodiment one provides a control house safety management digital set-top box based on internet, includes:
the device comprises a digital video broadcasting DVB module, a network connection unit, a multi-port exchange chip, a WIFI transmission module, a receiving module and an authentication module;
the digital video broadcasting DVB module, the multi-port exchange chip, the network connection unit and the receiving module are controlled by the central controller, the network connection unit transmits signals to the WIFI transmission module, the authentication module transmits signals to the digital video broadcasting DVB module, and the network connection unit is in signal communication with the receiving module; the multi-port switching chip is connected with the input end and the output end of the set top box;
the multi-port switching chip is used for forwarding the acquired monitoring information to the central controller;
the composite sensor comprises at least one sensor, the sensor is connected with various monitored household equipment or is positioned in a monitored area, the output end of the composite sensor is connected with the input end of the multi-port switching chip, and the output end of the multi-port switching chip is connected with an external terminal through a network connection unit.
The invention provides an Internet-based monitoring home security management digital set top box, which adopts the technical scheme that: the system comprises a digital video broadcasting DVB module, a network connection unit, a multi-port exchange chip, a WIFI transmission module, a receiving module and an authentication module; the digital video broadcasting DVB module, the multi-port exchange chip, the network connection unit and the receiving module are controlled by the central controller, the network connection unit transmits signals to the WIFI transmission module, the authentication module transmits signals to the digital video broadcasting DVB module, and the network connection unit is in signal communication with the receiving module; the multi-port switching chip is connected with the input end and the output end of the set-top box; the multi-port switching chip is used for forwarding the acquired monitoring information to the central controller; the composite sensor comprises at least one sensor, the sensor is connected with various monitored household equipment or is positioned in a monitored area, the output end of the composite sensor is connected with the input end of the multi-port switching chip, and the output end of the multi-port switching chip is connected with an external terminal through a network connection unit.
According to the Internet-based monitoring home security management digital set top box, the set top box is used for carrying out centralized processing on the monitoring information acquired by the composite sensor, so that various types of monitoring information of a monitored area can be comprehensively monitored, the system cost is saved, the wiring is simplified, and the system stability is improved. The set top box is combined with the composite sensor to realize safety management of the home environment, and when potential safety hazards are monitored, early warning is timely sent to an external terminal (a mobile terminal used by a user), so that safety monitoring of the home environment is improved, and the set top box is more intelligent.
The set-top box is connected with an indoor wireless network through an internal network connection unit, and sends monitoring information to the user terminal through the wireless network.
As a preferred embodiment of the invention, the monitored household equipment comprises one or more of a gas stove, a television, a refrigerator, an air conditioner, a lamp and a water heater.
Referring to fig. 2, as a preferred embodiment of the present invention, the composite sensor includes a processor, a light sensor, a gas sensor, a humidity sensor, a temperature sensor, a proximity sensor, an infrared sensor, and a communication interface; the processor is respectively connected with the optical sensor, the gas sensor, the humidity sensor, the temperature sensor, the proximity sensor, the infrared sensor and the communication interface.
The composite sensor is connected with various household application devices, such as: lamps, televisions, gas ranges, water heaters, and the like. The composite sensor detects data from various application devices of the user. The detected data is then transmitted to the set-top box.
As a preferred embodiment of the present invention, the central controller includes a database, a personal/home data manager, a data history manager, an authorization manager, a data sensitivity check manager, a sensitive data analysis manager, a device manager, a user manager, a log manager, a security manager, a service manager, and a service providing manager;
the user manager is used for managing authorized users and related files thereof; wherein the files comprise a user personal file, a user address file and a telephone number file related to the user;
the personal/family data manager is used for protecting the user personal file of the authorized user managed by the user manager;
the authorization manager is used for granting the authority to the appointed user and enabling the appointed user to access or share the data of other users;
the data history manager is used for monitoring the activities of the stored data authorized by the personal/family data manager, and specifically comprises the following steps: accessing the historical access time point, the access content and the execution operation corresponding relation in the database;
the service manager is used for pushing a service directory to the user, and the service directory enumerates service contents provided by the set top box to the user;
the service providing manager is used for automatically managing the access of the user to the cloud server;
the log manager is used for recording the content of events or activities generated by the cloud server and corresponding time points;
the equipment manager is used for recording the operation information of the monitored equipment in each authorized user;
the data sensitivity inspection manager is used for inspecting the service information requested by the user and judging the storage position of the service data requested by the user in the database; e.g., a table location where the service data is stored, etc. For example, a large amount of building data is stored in the cloud, and when the user request service information is sent to the cloud through the internet of things encryption terminal, the component checks the building position, the room number and the like from which the user request service information comes, and then judges whether an entry for storing the building position and the room number exists.
The sensitive data analysis manager is used for comprehensively analyzing the received monitoring information based on a neural network, firstly deducing the behavior habit of a person by referring to historical data of the same guardian stored in a database, then judging whether the monitoring information conforms to the behavior habit of the person, and if not, sending a reminding notification message to a reserved corresponding mobile phone number;
the security manager is used to provide authentication, authorization and key management for the service.
The central controller analyzes and processes the collected monitoring information, and data can be processed by means of the cloud server, so that the data calculation pressure of the central controller is relieved.
Referring to fig. 3, in a second aspect, the present invention provides a method for controlling an internet-based digital set-top box for monitoring home security management, including:
step S1, respectively installing a composite sensor in each monitored area; the composite sensor comprises at least one sensor, and the sensor is connected with various monitored equipment or is positioned in a monitored area;
s2, acquiring monitoring information through a composite sensor, and sending the monitoring information to a set top box; the monitoring information comprises equipment operation parameters of various monitored equipment connected with the monitoring information and environment information of a monitored area;
s3, receiving the monitoring information through the set top box, and encrypting the monitoring information to obtain encrypted monitoring information;
s4, decrypting the received encrypted monitoring information through the central controller, restoring to obtain the monitoring information, and storing the monitoring information into a database;
and S5, analyzing the data stored in the database by the central controller by adopting a neural network method, judging whether the monitoring information is abnormal, and if so, sending reminding information to a reserved mobile phone number corresponding to the monitored area.
The invention provides a control method for monitoring home security management digital set top box based on internet, which has the technical scheme that: respectively installing a composite sensor in each monitored area; the composite sensor comprises at least one sensor, and the sensor is connected with various monitored equipment or is positioned in a monitored area; monitoring information is acquired through the composite sensor, and the monitoring information is sent to the set top box; the monitoring information comprises equipment operation parameters of various monitored equipment connected with the monitoring information and environment information of a monitored area; receiving the monitoring information through the set top box, and encrypting the monitoring information to obtain encrypted monitoring information; decrypting the received encrypted monitoring information through the central controller, restoring to obtain the monitoring information, and storing the monitoring information into a database; and analyzing the data stored in the database by adopting a neural network method through the central controller, judging whether the monitoring information is abnormal, and if so, sending reminding information to a reserved mobile phone number corresponding to the monitored area.
According to the control method for monitoring the home security management digital set top box based on the Internet, the set top box is used for carrying out centralized processing on the monitoring information acquired by the composite sensor, various types of monitoring information of a monitored area can be comprehensively monitored, the system cost is saved, the wiring is simplified, and the system stability is improved.
As a preferred embodiment of the present invention, S5 specifically is: the method comprises the following steps of learning the daily behavior habits of people by adopting a neural network, training and correcting by adopting multilayer perception back propagation, and establishing a behavior habit neural network model;
and predicting and analyzing the future behavior of the person according to the established behavior habit neural network model.
Analyzing by using a neural network method, wherein the analyzed data comprises the following steps: lamp related data, pressure data, television related data, temperature data, etc. For example: the pressure sensor detects the pressure information of the outlet of the gas tank in the kitchen and then sends the detected pressure information to the central controller; the central controller analyzes the pressure information to judge whether the pressure information is lower than a threshold value, if so, the central controller obtains the conclusion that the gas tank is leaked, and then sends an alarm short message to a mobile phone of a user using the gas tank through the network connection unit. Similarly, through the analysis process of the composite sensor and the central controller, the information of whether the user falls down, whether a fire disaster occurs in a room and the like can be monitored.
In addition, the sensitive data analysis manager performs comprehensive analysis on the received monitoring information based on the neural network, deduces the behavior habits of the person, and then judges whether the monitoring information conforms to the behavior habits of the person, for example, as follows:
the composite sensor monitors the light-on time and the light-off time of the lamp A in the room A every day, and then uploads the light-on time and the light-off time of the lamp A to the cloud end; for example, the central controller receives the following information 5 days, respectively: the first day, the light-on time was 6:10, the light-off time is 9 at night: 05; the next day, the light on time was 5:52, the light-off time is 9 evening: 08; on the third day, the light-on time was 5:55, turning off the lamp at night 8:56; on day four, light on time was 6:09, the light-off time is 8 at night: 55; on the fifth day, the light-on time was 6:04, turning off the lamp at night 8:56; the central controller analyzes the received data using neural network technology to obtain the following behavioral habit information: the lamp-on operation is carried out within 10 minutes from 6 o' clock in the morning; the light-off operation is carried out within 10 minutes of 9 o' clock in the evening. And when the central controller does not receive the light-off monitoring information transmitted by the composite sensor within 10 minutes after 9 o ' clock at night in a certain day, the central controller sends a reminding message of ' please turn off the light ' to the mobile phone of the user.
Humans typically have certain patterns of behavior, however, humans sometimes interrupt or even completely alter such patterns of behavior. By the method, the neural network is used for learning the daily behavior habits of people and establishing the behavior habit neural network model. And then predicting and analyzing the future behavior of the person according to the established behavior habit neural network model. And training and modifying the model by adopting multi-layer perception back propagation.
As a preferred embodiment of the invention, the method adopts the neural network-based learning of the daily behavior habits of people and the multilayer perception back propagation for training and correction, and the establishment of the behavior habit neural network model specifically comprises the following steps:
step S51, a topological structure of a feedforward neural network is established, wherein the feedforward neural network comprises an input layer, a hidden layer and an output layer; the input layer is provided with N input variables, and the hidden layer is provided with M = N, N +1, N +2 \8230 \ 8230and hidden units; the output layer has P output variables;
wherein the input variables include a building number, a floor number, a dormitory number, a room number, and operation information performed on a specific application in the room while in the room;
the output variables are: when the specific application in the room is abnormal, sending an abnormal reminding message to a mobile phone user corresponding to the room;
and S52, training the neural network by using the historical data as sample data of the neural network training and using a back propagation algorithm to obtain a behavior habit neural network model.
Continuously updating each layer connection weight value according to the following steps:
initializing all network weights:
the weight is [ -N/2, N/2]Random numbers within the interval.
If E (W) =1/2 sigmak∈outputs(P) (tk -Ok )2 T, where E (W) represents an error function;
tk represents a target value; o isk Represents an output value; t represents a threshold value;
inputting instances into a networkAnd calculates the output
Wherein,a sample representing an output;the weight is represented by a weight that is,representing a weight;
for each network output unit k, k =1, the error term δ is calculatedk ：
δk ＝Ok (1-Ok )(tk -Ok ) (3)
For each hidden unit H, H =1,m, its error δ is calculatedh ：
Updating the weight W of each neti,j ：
Wi,j ＝Wi,j +ΔWi,j (5)
ΔWi,j ＝α.δ1 Xi,j (6)
Where α is the number of steps of learning, and the weight is initialized randomly within the range of [ -N/2, N/2 ]. N is the number of neurons in the input layer. To obtain better results, the following activation function was used:
F(x)＝(2/(1+e-x ))-1 (7)
x represents an input value.
With neural network dynamic learning, one of the differences between dynamic learning and static learning is that, in the dynamic learning process, prediction is performed based on the result of the feedforward step. This means that if the prediction is correct, only one backward pass is done. If the predicted value is incorrect, the backward operation is always carried out before a correct prediction result is obtained. In this case, the dynamic learning process starts with weights derived by a static training process.
As a preferred embodiment of the present invention, in step S3, the set-top box receives the monitoring information and encrypts the monitoring information, specifically:
generating a random number sequence { Rn } by a key generator in the set top box;
with random number sequence { Rn Carrying out first-stage encryption on plaintext data of the set top box by using a key, and outputting ciphertext data of the set top box;
using root key pair random number sequence Rn Performing second-stage encryption, and outputting an encrypted random number sequence (R)n And the key data is used as the key data of the set-top box.
As a preferred embodiment of the invention, the key generator randomly generates a random number sequence Rn The method comprises the following steps:
let vector sequence { Sn The number of the channels is as follows,
wherein,is a sequence of vectors Sn The ith component of the vector, i ranges from 0 ≦ i ≦ 14, the initial vector S0 Is S0 ＝[65535，0，0，65535，0，65535，0，0，0，0，0，0，0]Mod is the modulo operation, b =65536;
let a numerical sequence Fn In order to realize the purpose,
where mod is the modulo operation, b =65536;
setting a number sequence Wn The following formula is satisfied,
wherein a =40307, b =65536,w0 And C0 Is an initial random seed number, satisfies 0<W0 &B and 0<C0 &A mod is a modular operation and is a rounding-down operation;
will be numbered in series Fn And the number series Wn Exclusive OR according to the bit to obtain a random number sequence { R }n The number of the channels is as follows,
Rn ＝Wn +Fn
wherein n belongs to Z, n is more than or equal to 0, Z is an integer field, and ^ Ann is XOR operation.
In the embodiment, the monitoring information is encrypted through the set top box, and a random number sequence { Rn } is randomly generated through a key generator in the set top box; the method comprises the steps of carrying out first-stage encryption on plaintext data of the intelligent set top box and outputting ciphertext data of the intelligent set top box, further carrying out second-stage encryption on a random number sequence { Rn } by using a root key, and outputting the encrypted random number sequence { Rn } to serve as key data of the intelligent set top box.
As a preferred embodiment of the present invention, in step S2, the monitoring information is sent to the set-top box in a multi-network access manner, specifically:
during initialization, VLAN is divided for each port of a multi-port exchange chip of the set top box, and VLAN attributes are set;
when receiving the monitoring information, the multi-port switching chip forwards the monitoring information to a central controller of the set top box;
the central controller distinguishes the service of the monitoring information and processes the monitoring information correspondingly according to the received VLAN identification of the monitoring information, and returns the processing result to the multi-port switching chip;
and the multi-port exchange chip sends out the monitoring information through the corresponding port according to the VLAN identification of the monitoring information returned by the central controller.
Preferably, the step of forwarding the network data received by the multi-port switch chip to the central controller specifically includes the following steps:
judging the VLAN to which the monitoring information belongs according to the VLAN identification of the monitoring information, and if the VLAN to which the monitoring information belongs is an external network VLAN, directly forwarding the received monitoring information to a central controller; if the VLAN to which the monitoring information belongs is an intranet VLAN, the VLAN identification of the VLAN to which the monitoring information belongs is added to the monitoring information, and the monitoring information is sent to the central controller.
Preferably, the step of sending the processed monitoring information out through the corresponding port by the multi-port switching chip according to the VLAN identifier of the data returned by the central controller specifically includes the following steps:
judging the VLAN to which the monitoring information belongs according to the VLAN identification of the monitoring information, and if the VLAN to which the monitoring information belongs is an external network VLAN, directly sending the monitoring information out through a port corresponding to the VLAN to which the monitoring information belongs; and if the VLAN to which the monitoring information belongs is an intranet VLAN, removing the VLAN identification of the monitoring information, and sending the VLAN identification out through a port corresponding to the VLAN to which the monitoring information belongs.
And the monitoring information is distinguished and processed based on the VLAN identification, so that the data processing efficiency is improved.
Compared with the prior art, the invention has the beneficial effects that:
(1) The set-top box is used for carrying out centralized processing on the monitoring information acquired by the composite sensor, so that various types of monitoring information of a monitored area can be comprehensively monitored, the system cost is saved, the wiring is simplified, and the system stability is improved;
(2) The set-top box has a data encryption function, so that the safety of the monitoring system is improved;
(3) The set top box adopts a plurality of components, so that the safety of data stored in the set top box is guaranteed;
(4) The set top box analyzes the behavior habits of people by adopting a neural network technology, and sends reminding information to mobile phones of related users when the monitoring data are found to be inconsistent with the behavior habits of people, so that the user experience is improved.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.