A smart home control system and method based on multi-terminal interaction

Abstract

The present invention discloses a smart home control system and method based on multi-terminal interaction, which relates to the field of smart home control technology. The smart home control system and method include a network traffic monitoring module, a response detection module, a database, a data analysis module, a personalized analysis module and a control module. The network data impact value M is greater than 0.4, and the abnormal protocol type B1 and the source destination IP address B2 in the data B are locked. At the same time, a network alarm is generated through an early warning module to remind the user that the smart home system is invaded, and the data B instruction is canceled, thereby solving the problem of personal privacy and sensitive information being leaked. The load control module is controlled according to the user's personalized data to control the operation data of the smart home device. At the same time, the network transmission channel is switched through the early warning module, so that the control system response delay can be discovered in time, and the user's personalized data operation can be directly called to eliminate the influence of the network delay of the smart home control system based on multi-terminal interaction.

Description

Technical Field

[0001] The present invention relates to the field of smart home control technology, and in particular to a smart home control system and method based on multi-terminal interaction. Background Art

[0002] The smart home system based on multi-terminal interaction aims to achieve intelligent and convenient control of home appliances through a variety of smart terminals, thereby improving the comfort and safety of the living environment.

[0003] Then, because the smart home system needs to communicate with the control system through the network, this increases the risk of data leakage. If there are security vulnerabilities in the system or improper user operation, personal privacy and sensitive information will be leaked, seriously affecting the use of the smart home control system based on multi-terminal interaction. In addition, the normal operation of the smart home control system is highly dependent on network connection. If the network is unstable, it will cause the control system to respond late, seriously affecting the use of the smart home system based on multi-terminal interaction. Summary of the invention

[0004] In view of the above situation, the present invention can timely block the leakage of personal privacy and sensitive information when using the smart home control system and method based on multi-terminal interaction, and can also timely detect the control system response delay and directly call the user's personalized data operation.

[0005] The technical solution is to include a network traffic monitoring module, a response detection module, a database, a data analysis module, a network analysis module and a control module. The network traffic monitoring module captures data packets of network devices in the smart home in real time and sends them to the data analysis module.

[0006] The data analysis module parses the data packet, extracts the protocol type, source and destination IP address, data packet size and data packet response frequency in the data packet, and then respectively calls the corresponding threshold value for comparison, finally obtains the comprehensive error value of the data, and sends the comprehensive error value to the control module;

[0007] The response detection module monitors the response signal of the network device signal in the smart home in real time, and sends the time of sending the command signal, the time when the network device receives the response signal and the response signal to the network analysis module;

[0008] When the network analysis module receives the response signal, it calculates the difference between the time when the user sends the command signal and the time when the network device receives the response signal, that is, the response delay time, compares it with the corresponding threshold to obtain the network response delay result, and sends it to the control module;

[0009] The control module first calculates the difference between the comprehensive error value of the user data and the threshold value of the corresponding user data security in the database, and obtains whether the user data security is normal or abnormal;

[0010] Then, the difference between the response delay time and the corresponding network response delay threshold in the corresponding database is calculated to obtain whether the network delay is normal or abnormal. When the network delay is abnormal, the response delay difference and the threshold are further used to calculate the abnormal response delay ratio;

[0011] Finally, the comprehensive error value and response abnormal delay ratio of the data are used to obtain the network data impact value. The network data impact value is compared with the corresponding threshold range to obtain the specific user data security status, and the corresponding smart home devices are adjusted according to the user data security status.

[0012] Furthermore, it also includes an early warning module and a load regulation module, wherein the early warning module and the load regulation module receive control instructions from the control module, and the early warning module sends early warning information to relevant personnel;

[0013] The load control module is a controller of the smart home device, which controls the operation of the smart home device and can also regulate the operation data of the smart home device.

[0014] Furthermore, the user personalized data in the database is set in advance by the user. When the user uses it, the control module will collect the user's usage habit data and update the user personalized data in the database in real time.

[0015] Furthermore, a smart home control method based on multi-terminal interaction, the specific steps are as follows;

[0016] S1, the network traffic monitoring module captures data packets of network devices in the smart home in real time and sends them to the data analysis module;

[0017] The response detection module monitors the response status of the network device signal in the smart home in real time, and records the received response as signal 1, and no response as signal 0. At the same time, the time t1 of the user sending the command signal and the time t2 of the network device receiving the response signal are stored in signal 1, and the transmission signal 1 or signal 0 is sent to the network analysis module;

[0018] S2, the data analysis module analyzes the data packet, the specific steps are as follows;

[0019] S21, record the parsed traffic data as data B, extract the protocol type B1, source and destination IP address B2, data packet size B3 and data packet response frequency B4 in data B, and extract the allowed protocol type NB1, source and destination IP address NB2, data packet threshold range NB3 and response frequency threshold NB4 corresponding to data B in the database for comparison;

[0020] S22, compare the protocol type B1 with the protocol type NB1, screen out the number of protocol types that are different from each other, and then calculate the ratio of the number of different protocol types to the number of all protocol types in the protocol type B1, which is recorded as the error ratio W1;

[0021] Similarly, compare the source destination IP address B2 with the source destination IP address NB2, and then calculate the ratio of the number of different source destination IP addresses to the number of all IP addresses in the source destination IP address B2, which is recorded as the error ratio W2;

[0022] Calculate the value of the data packet size B3 exceeding the data packet threshold range NB3, and then calculate the ratio of the exceeding value and the data packet size B3, which is recorded as the error ratio W3;

[0023] Similarly, the value by which the data packet response frequency B4 exceeds the response frequency threshold NB4 is calculated, and then the ratio of the excess value to the response frequency threshold NB4 is calculated, which is recorded as the error ratio W4;

[0024] S23, calculating the comprehensive error value W of data B = W1×0.2+W2×0.4+W3×0.1+W4×0.3, and finally sending the comprehensive error value W of data B with user data security to the control module;

[0025] S3, when the network analysis module receives signal 1, it calculates the difference t3 between the time t1 when the user sends the command signal and the time t2 when the network device receives the response signal. If t3 is less than 200ms, it indicates a normal response, and the normal response signal is sent to the control module. Otherwise, if t3 is greater than 200ms, it indicates a response delay, and the user personalized data after time t1 and the response delay time t3 are retrieved and sent to the control module.

[0026] Furthermore, the control module receives the signals from the data analysis module and the network analysis module for further combined analysis, and the specific working steps are as follows;

[0027] K1, extracts the threshold WY of the corresponding user data security in the database, calculates the data security value W2=W1-WY, W2 is positive, the user data is safe, otherwise the user data is abnormal, calculates the data security ratio W3, W3=|W2| / WY;

[0028] K2, extract the corresponding network response delay threshold t31 from the database, calculate the network response abnormal delay value t32=t31-t3, t32 is positive, the network delay is normal, otherwise, the network delay is abnormal, calculate the response abnormal delay ratio t33=|t32| / t31;

[0029] K3, calculate the network data impact value M = W × 0.7 + t33 × 0.3 + ξ, where ξ is the error correction value. If the network data impact value M is greater than 0.2 and less than 0.4, it means that the user data security is abnormal. The abnormal data B instruction operation is suspended, and the early warning module reminds the user whether to authorize the continued operation. If the user is allowed, the load control module is controlled to execute the data B instruction operation, and the abnormal protocol type B1 and source destination IP address B2 in the allowed data B are updated in the database;

[0030] Otherwise, the user is not allowed to continue the operation, and the abnormal protocol type B1 and source destination IP address B2 in the data B are added to the blacklist, and the data B instruction is cancelled.

[0031] The network data impact value M is greater than 0.4, and the abnormal protocol type B1 and source destination IP address B2 in the data B are locked. At the same time, a network alarm is triggered through the early warning module, and the abnormal protocol type B1 and source destination IP address B2 are sent to the relevant network police department to remind the user that the smart home system has been invaded and cancel the data B instruction.

[0032] Furthermore, the network data impact value M is less than 0.2, and the control module controls the load regulation module to execute the data B instruction operation, and at the same time updates the database with the abnormal protocol type B1 and source destination IP address B2 in the data B.

[0033] Furthermore, the control module controls the load control module to execute the data B instruction operation, which is divided into when the network is normally delayed, the control module retrieves the user personalized data after time t1 in the database, and controls the load control module to adjust the operation data of the smart home device according to the user personalized data;

[0034] When the network is abnormally delayed, the control module retrieves the user personalized data after time t1 in the database, controls the load control module to adjust the operating data of the smart home device according to the user personalized data, and switches the network transmission channel through the early warning module.

[0035] Due to the adoption of the above technical solution, the present invention has the following advantages compared with the prior art:

[0036] 1. The control module calculates the network data impact value. If the network data impact value M is greater than 0.2 and less than 0.4, it indicates that the user data security is abnormal. The abnormal data B instruction operation is suspended, and the early warning module is used to remind the user whether to authorize the continued operation. If the user is allowed, the load control module is controlled to execute the data B instruction operation, and the abnormal protocol type B1 and source destination IP address B2 in the allowed data B are updated in the database; the network data impact value M is greater than 0.4, the abnormal protocol type B1 and source destination IP address B2 in the data B are locked, and a network alarm is triggered through the early warning module, and the abnormal protocol type B1 and source destination IP address B2 are sent to the relevant network police department to remind the user that the smart home system has been invaded and cancel the data B instruction, thereby solving the problem of leakage of personal privacy and sensitive information.

[0037] 2. When the network delay is normal, the control module retrieves the personalized user data after time t1 in the database, and controls the load regulation module to regulate the operating data of the smart home device according to the personalized user data; when the network delay is abnormal, the control module retrieves the personalized user data after time t1 in the database, and controls the load regulation module to regulate the operating data of the smart home device according to the personalized user data. At the same time, the network transmission channel is switched by the early warning module, so that the control system response delay can be discovered in time, and the user personalized data operation can be directly called to eliminate the influence of network delay of the smart home control system based on multi-terminal interaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a module diagram of a smart home control system and method based on multi-terminal interaction of the present invention. DETAILED DESCRIPTION

[0039] The above and other technical contents, features and effects of the present invention are described in detail below with reference to the attached Figure 1 The detailed description of the embodiments will clearly show that the structural contents mentioned in the following embodiments are all based on the drawings in the specification.

[0040] In order to solve the problem of personal privacy and sensitive information being leaked and network instability, which will lead to control system response delay, the system includes a network traffic monitoring module, a response detection module, a database, a data analysis module, a network analysis module and a control module. The network traffic monitoring module captures data packets of network devices in the smart home in real time and sends them to the data analysis module;

[0041] The data analysis module parses the data packet, extracts the protocol type, source and destination IP address, data packet size and data packet response frequency in the data packet, and then respectively calls the corresponding threshold value for comparison, finally obtains the comprehensive error value of the data, and sends the comprehensive error value to the control module;

[0042] The response detection module monitors the response signal of the network device signal in the smart home in real time, and sends the time of sending the command signal, the time when the network device receives the response signal and the response signal to the network analysis module;

[0043] When the network analysis module receives the response signal, it calculates the difference between the time when the user sends the command signal and the time when the network device receives the response signal, that is, the response delay time, compares it with the corresponding threshold to obtain the network response delay result, and sends it to the control module;

[0044] The control module first calculates the difference between the comprehensive error value of the user data and the threshold value of the corresponding user data security in the database, and obtains whether the user data security is normal or abnormal;

[0045] Then, the difference between the response delay time and the corresponding network response delay threshold in the corresponding database is calculated to obtain whether the network delay is normal or abnormal. When the network delay is abnormal, the response delay difference and the threshold are further used to calculate the abnormal response delay ratio;

[0046] Finally, the comprehensive error value and response abnormal delay ratio of the data are used to obtain the network data impact value. The network data impact value is compared with the corresponding threshold range to obtain the specific user data security status, and the corresponding smart home devices are adjusted according to the user data security status.

[0047] It also includes an early warning module and a load regulation module, wherein the early warning module and the load regulation module receive control instructions from the control module, and the early warning module sends early warning information to relevant personnel;

[0048] The load control module is a controller of the smart home device, which controls the operation of the smart home device and can also regulate the operation data of the smart home device.

[0049] The user personalized data in the database is set in advance by the user. When the user uses the data, the control module will collect the user's usage habit data and update the user personalized data in the database in real time.

[0050] The system modules use 5G network communication to transmit signals.

[0051] The specific steps are as follows;

[0052] S1, the network traffic monitoring module captures data packets of network devices in the smart home in real time and sends them to the data analysis module;

[0053] The response detection module monitors the response status of the network device signal in the smart home in real time, and records the received response as signal 1, and no response as signal 0. At the same time, the time t1 of the user sending the command signal and the time t2 of the network device receiving the response signal are stored in signal 1, and the transmission signal 1 or signal 0 is sent to the network analysis module;

[0054] S2, the data analysis module analyzes the data packet, the specific steps are as follows;

[0055] S21, record the parsed traffic data as data B, extract the protocol type B1, source and destination IP address B2, data packet size B3 and data packet response frequency B4 in data B, and extract the allowed protocol type NB1, source and destination IP address NB2, data packet threshold range NB3 and response frequency threshold NB4 corresponding to data B in the database for comparison;

[0056] S22, compare the protocol type B1 with the protocol type NB1, screen out the number of protocol types that are different from each other, and then calculate the ratio of the number of different protocol types to the number of all protocol types in the protocol type B1, which is recorded as the error ratio W1;

[0057] Similarly, compare the source destination IP address B2 with the source destination IP address NB2, and then calculate the ratio of the number of different source destination IP addresses to the number of all IP addresses in the source destination IP address B2, which is recorded as the error ratio W2;

[0058] Calculate the value of the data packet size B3 exceeding the data packet threshold range NB3, and then calculate the ratio of the exceeding value and the data packet size B3, which is recorded as the error ratio W3;

[0059] Similarly, the value by which the data packet response frequency B4 exceeds the response frequency threshold NB4 is calculated, and then the ratio of the excess value to the response frequency threshold NB4 is calculated, which is recorded as the error ratio W4;

[0060] S23, calculating the comprehensive error value W of data B = W1×0.2+W2×0.4+W3×0.1+W4×0.3, and finally sending the comprehensive error value W of data B with user data security to the control module;

[0061] S3, when the network analysis module receives signal 1, it calculates the difference t3 between the time t1 when the user sends the command signal and the time t2 when the network device receives the response signal. If t3 is less than 200ms, it indicates a normal response, and the normal response signal is sent to the control module. Otherwise, if t3 is greater than 200ms, it indicates a response delay, and the user personalized data after time t1 and the response delay time t3 are retrieved and sent to the control module.

[0062] The control module receives the signals from the data analysis module and the network analysis module for further combined analysis. The specific working steps are as follows:

[0063] K1, extracts the threshold WY of the corresponding user data security in the database, calculates the data security value W2=W1-WY, W2 is positive, the user data is safe, otherwise the user data is abnormal, calculates the data security ratio W3, W3=|W2| / WY;

[0064] K2, extract the corresponding network response delay threshold t31 from the database, calculate the network response abnormal delay value t32=t31-t3, t32 is positive, the network delay is normal, otherwise, the network delay is abnormal, calculate the response abnormal delay ratio t33=|t32| / t31;

[0065] K3, calculate the network data impact value M = W × 0.7 + t33 × 0.3 + ξ, where ξ is the error correction value. If the network data impact value M is greater than 0.2 and less than 0.4, it means that the user data security is abnormal. The abnormal data B instruction operation is suspended, and the early warning module reminds the user whether to authorize the continued operation. If the user is allowed, the load control module is controlled to execute the data B instruction operation, and the abnormal protocol type B1 and source destination IP address B2 in the allowed data B are updated in the database;

[0066] Otherwise, the user is not allowed to continue the operation, and the abnormal protocol type B1 and source destination IP address B2 in the data B are added to the blacklist, and the data B instruction is cancelled.

[0067] The network data impact value M is greater than 0.4, and the abnormal protocol type B1 and source destination IP address B2 in the data B are locked. At the same time, a network alarm is triggered through the early warning module, and the abnormal protocol type B1 and source destination IP address B2 are sent to the relevant network police department to remind the user that the smart home system has been invaded and cancel the data B instruction.

[0068] The network data impact value M is less than 0.2, and the control module controls the load regulation module to execute the data B instruction operation, and at the same time updates the database with the abnormal protocol type B1 and source destination IP address B2 in the data B.

[0069] The control module controls the load control module to execute the data B instruction operation, which is divided into: when the network is delayed normally, the control module retrieves the user personalized data after time t1 in the database, and controls the load control module to adjust the operation data of the smart home device according to the user personalized data;

[0070] When the network is abnormally delayed, the control module retrieves the user personalized data after time t1 in the database, controls the load control module to adjust the operating data of the smart home device according to the user personalized data, and switches the network transmission channel through the early warning module.

[0071] When the present invention is used specifically, the network traffic monitoring module captures data packets of network devices in the smart home in real time and sends them to the data analysis module;

[0072] The response detection module monitors the response status of the network device signal in the smart home in real time, and records the received response as signal 1, and no response as signal 0. At the same time, the time t1 of the user sending the command signal and the time t2 of the network device receiving the response signal are stored in signal 1, and the transmission signal 1 or signal 0 is sent to the network analysis module;

[0073] The data analysis module analyzes the data packets, then analyzes the analyzed traffic data, and sends the analyzed user data security results to the control module;

[0074] The response detection module monitors the response status of the network device signal in the smart home in real time, and sends the monitoring signal to the network analysis module;

[0075] The network analysis module analyzes the monitoring signal of the response status in combination with the user personalized data in the database, and then sends the analyzed network response delay result to the control module;

[0076] The control module receives the signals from the data analysis module and the network analysis module for further combined analysis. The specific working steps are as follows:

[0077] K1, extracts the threshold WY of the corresponding user data security in the database, calculates the data security value W2=W1-WY, W2 is positive, the user data is safe, otherwise the user data is abnormal, calculates the data security ratio W3, W3=|W2| / WY;

[0078] K2, extract the corresponding network response delay threshold t31 from the database, calculate the network response abnormal delay value t32=t31-t3, t32 is positive, the network delay is normal, otherwise, the network delay is abnormal, calculate the response abnormal delay ratio t33=|t32| / t31;

[0079] K3, calculate the network data impact value M = W × 0.7 + t33 × 0.3 + ξ, where ξ is the error correction value. If the network data impact value M is greater than 0.2 and less than 0.4, it means that the user data security is abnormal. The abnormal data B instruction operation is suspended, and the early warning module reminds the user whether to authorize the continued operation. If the user is allowed, the load control module is controlled to execute the data B instruction operation, and the abnormal protocol type B1 and source destination IP address B2 in the allowed data B are updated in the database;

[0080] Otherwise, the user is not allowed to continue the operation, and the abnormal protocol type B1 and source destination IP address B2 in the data B are added to the blacklist, and the data B instruction is cancelled.

[0081] The above method solves the problem of personal privacy and sensitive information leakage, can timely detect control system response delays, and directly call user personalized data operations to eliminate the impact of network delays in smart home control systems based on multi-terminal interaction.

[0082] The above is a further detailed description of the present invention in combination with a specific implementation method, and it cannot be determined that the specific implementation of the present invention is limited to this; for technical personnel in the technical field to which the present invention belongs and related technical fields, based on the technical solution of the present invention, the expansion and replacement of operating methods and data should all fall within the protection scope of the present invention.

Claims

1. A smart home control system based on multi-terminal interaction, comprising a network traffic monitoring module, a response detection module, a database, a data analysis module, a network analysis module and a control module, characterized in that: The network traffic monitoring module captures data packets of network devices in the smart home in real time and sends them to the data analysis module; The data analysis module parses the data packet, extracts the protocol type, source and destination IP address, data packet size and data packet response frequency in the data packet, and then respectively calls the corresponding threshold value for comparison, finally obtains the comprehensive error value of the data, and sends the comprehensive error value to the control module; The response detection module monitors the response signal of the network device signal in the smart home in real time, and sends the time of sending the command signal, the time when the network device receives the response signal and the response signal to the network analysis module; When the network analysis module receives the response signal, it calculates the difference between the time when the user sends the command signal and the time when the network device receives the response signal, that is, the response delay time, compares it with the corresponding threshold to obtain the network response delay result, and sends it to the control module; The control module first calculates the difference between the comprehensive error value of the user data and the threshold value of the corresponding user data security in the database, and obtains whether the user data security is normal or abnormal; Then, the difference between the response delay time and the corresponding network response delay threshold in the corresponding database is calculated to obtain whether the network delay is normal or abnormal. When the network delay is abnormal, the response delay difference and the threshold are further used to calculate the abnormal response delay ratio; Finally, the comprehensive error value and response abnormal delay ratio of the data are used to obtain the network data impact value. The network data impact value is compared with the corresponding threshold range to obtain the specific user data security status, and the corresponding smart home devices are adjusted according to the user data security status.

2. A smart home control system based on multi-terminal interaction as claimed in claim 1, characterized in that: It also includes an early warning module and a load regulation module, wherein the early warning module and the load regulation module receive control instructions from the control module, and the early warning module sends early warning information to relevant personnel; The load control module is a controller of the smart home device, which controls the operation of the smart home device and can also regulate the operation data of the smart home device.

3. A smart home control system based on multi-terminal interaction as claimed in claim 1, characterized in that: The user personalized data in the database is set in advance by the user. When the user uses the data, the control module will collect the user's usage habit data and update the user personalized data in the database in real time.

4. A smart home control system based on multi-terminal interaction as claimed in any one of claims 1 to 3, characterized in that: The system modules use 5G network communication to transmit signals.

5. A smart home control method based on multi-terminal interaction, characterized in that: The method is applied to the smart home control system based on multi-terminal interaction as described in any one of claims 1 to 4, and the specific steps are as follows: S1, the network traffic monitoring module captures data packets of network devices in the smart home in real time and sends them to the data analysis module; The response detection module monitors the response status of the network device signal in the smart home in real time, and records the received response as signal 1, and no response as signal 0. At the same time, the time t1 of the user sending the command signal and the time t2 of the network device receiving the response signal are stored in signal 1, and the transmission signal 1 or signal 0 is sent to the network analysis module; S2, the data analysis module analyzes the data packet, the specific steps are as follows; S21, record the parsed traffic data as data B, extract the protocol type B1, source and destination IP address B2, data packet size B3 and data packet response frequency B4 in data B, and extract the allowed protocol type NB1, source and destination IP address NB2, data packet threshold range NB3 and response frequency threshold NB4 corresponding to data B in the database for comparison; S22, compare the protocol type B1 with the protocol type NB1, screen out the number of protocol types that are different from each other, and then calculate the ratio of the number of different protocol types to the number of all protocol types in the protocol type B1, which is recorded as the error ratio W1; Similarly, compare the source destination IP address B2 with the source destination IP address NB2, and then calculate the ratio of the number of different source destination IP addresses to the number of all IP addresses in the source destination IP address B2, which is recorded as the error ratio W2; Calculate the value of the data packet size B3 exceeding the data packet threshold range NB3, and then calculate the ratio of the exceeding value and the data packet size B3, which is recorded as the error ratio W3; Similarly, the value by which the data packet response frequency B4 exceeds the response frequency threshold NB4 is calculated, and then the ratio of the excess value to the response frequency threshold NB4 is calculated, which is recorded as the error ratio W4; S23, calculating the comprehensive error value W of data B = W1×0.2+W2×0.4+W3×0.1+W4×0.3, and finally sending the comprehensive error value W of data B with user data security to the control module; S3, when the network analysis module receives signal 1, it calculates the difference t3 between the time t1 when the user sends the command signal and the time t2 when the network device receives the response signal. If t3 is less than 200ms, it indicates a normal response, and a normal response signal is sent to the control module. Otherwise, if t3 is greater than 200ms, it indicates a response delay, and the user personalized data after time t1 and the response delay time t3 are retrieved and sent to the control module; The control module receives the signals from the data analysis module and the network analysis module for further combined analysis. The specific working steps are as follows: K1, extracts the threshold WY of the corresponding user data security in the database, calculates the data security value W2=WY-W, W2 is positive, the user data is safe, otherwise the user data is abnormal, calculates the data security ratio W3, W3=|W2| / WY; K2, extract the corresponding network response delay threshold t31 from the database, calculate the network response abnormal delay value t32=t31-t3, t32 is positive, the network delay is normal, otherwise, the network delay is abnormal, calculate the response abnormal delay ratio t33=|t32| / t31; K3, calculate the network data impact value M = W × 0.7 + t33 × 0.3 + ξ, where ξ is the error correction value. If the network data impact value M is greater than 0.2 and less than 0.4, it means that the user data security is abnormal. The abnormal data B instruction operation is suspended, and the early warning module reminds the user whether to authorize the continued operation. If the user is allowed, the load control module is controlled to execute the data B instruction operation, and the abnormal protocol type B1 and source destination IP address B2 in the allowed data B are updated in the database; Otherwise, the user is not allowed to continue the operation, and the abnormal protocol type B1 and source destination IP address B2 in the data B are added to the blacklist, and the data B instruction is cancelled.

6. A smart home control method based on multi-terminal interaction as claimed in claim 5, characterized in that: The network data impact value M is greater than 0.4, and the abnormal protocol type B1 and source destination IP address B2 in the data B are locked. At the same time, a network alarm is triggered through the early warning module, and the abnormal protocol type B1 and source destination IP address B2 are sent to the relevant network police department to remind the user that the smart home system has been invaded and cancel the data B instruction.

7. A smart home control method based on multi-terminal interaction as claimed in claim 5 or 6, characterized in that: The network data impact value M is less than 0.2, and the control module controls the load regulation module to execute the data B instruction operation, and at the same time updates the database with the abnormal protocol type B1 and source destination IP address B2 in the data B.

8. A smart home control method based on multi-terminal interaction as claimed in claim 7, characterized in that: The control module controls the load control module to execute the data B instruction operation, which is divided into: when the network is delayed normally, the control module retrieves the user personalized data after time t1 in the database, and controls the load control module to adjust the operation data of the smart home device according to the user personalized data; When the network is abnormally delayed, the control module retrieves the user personalized data after time t1 in the database, controls the load control module to adjust the operating data of the smart home device according to the user personalized data, and switches the network transmission channel through the early warning module.

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