Intelligent furniture networking operation control system and method

Abstract

The invention relates to the technical field of intelligent furniture management, in particular to an intelligent furniture networking operation control system and method, and the system comprises an intelligent home network control center, a grid-connected selection unit, a grid-connected evaluation unit, an operation control expression unit, a continuous networking analysis unit, and an intelligent management unit. According to the invention, analysis is carried out preliminarily from the perspective of the grid-connected mode of the target smart home, so that stable networking control is carried out on the target smart home, and the basic network information of the target control network is analyzed based on the plurality of selectable networks, so that the grid-connected control stability and safety of the target smart home are ensured; the control performance and the networking performance of the target smart home are analyzed in an information feedback mode to judge whether the overall grid-connected operation control quality of the target smart home is qualified or not, reasonable management of the target smart home is facilitated, the control response performance of the target smart home is improved, and the user experience is improved. And meanwhile, the network of the target smart home can be replaced in time.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent furniture management, and particularly to an intelligent furniture networked operation control system and method. Background Art

[0002] With the development of technology, smart home devices have entered thousands of households. Various home devices can be connected to the network, facilitating users' remote control of the devices. With the realization of the remote control technology of the devices, people's living standards have gradually improved, and the use of household appliances has become more convenient. Therefore, people have put forward higher requirements for the intelligence, security, and convenience of modern home systems. Traditional smart home systems usually connect household appliances to the Internet of Things to achieve the control of household appliances. However, in the existing smart home systems, it is impossible to analyze the grid connection methods of smart homes, which is not conducive to reasonably screening the grid connection networks of smart homes, resulting in the control quality of the interconnected operation control of smart homes being affected by the network and the control effect being reduced. Moreover, it is impossible to conduct operation supervision on the control performance and network connection performance of smart homes after grid connection, which is not conducive to the management of smart homes and the network, and reduces the continuous and stable control effect of smart homes. In view of the above technical deficiencies, a solution is now proposed. Summary of the Invention

[0003] The purpose of the present invention is to provide an intelligent furniture networked operation control system and method to solve the above-mentioned technical deficiencies. The present invention initially analyzes from the perspective of the grid connection method of the target smart home to achieve stable network connection control of the target smart home. It discriminates and processes the number of networks based on the information progression method, analyzes the basic network information of the target control network under multiple optional networks, and divides the network from the perspective of network stability, which helps to reduce the interference of the network itself on the subsequent control of the target smart home, ensuring the stability and security of the grid connection control of the target smart home. By analyzing the control performance and network connection performance of the target smart home through information feedback, it is judged whether the overall grid connection operation control quality of the target smart home is qualified, which helps to rationally manage the target smart home, improve the control response performance of the target smart home, and at the same time helps to replace the network of the target smart home in a timely manner to ensure the continuous stability of the network connection and the control stability of the target smart home.

[0004] The purpose of the present invention can be achieved through the following technical solutions: An intelligent furniture networked operation control system includes a smart home network control center, a grid connection selection unit, a grid connection evaluation unit, an operation control performance unit, a continuous network connection analysis unit, and an intelligent management unit. The smart home network control center is used to retrieve the connection method of the target smart home, send the connection method to the grid connection selection unit for network control selection division feedback analysis, and obtain multiple signals or a single signal; When multiple signals are generated, the grid connection evaluation unit is used to perform grid connection control quality risk evaluation feedback analysis on the collected basic network information, and set the target control network corresponding to the maximum value in the analyzed network reliability evaluation coefficient as the preferred network; The operation control performance unit is used to perform home control performance evaluation feedback analysis on the collected co-control performance information, and send the analyzed normal signal or abnormal signal to the intelligent management unit; The continuous network analysis unit is used to perform continuous stability control risk evaluation analysis on the collected network connection characteristic information, and send the analyzed stable signal or replacement signal to the intelligent management unit.

[0005] Preferably, the network control selection division feedback analysis process is as follows: Obtain the connection method between the target smart home and the home network. The connection method includes wired connection and wireless connection, and perform discrimination processing on the connection method: if the connection method is a wired connection, generate a wired signal; if the connection method is a wireless connection, generate a wireless signal; When a wireless signal is generated, collect the home network to which the target smart home is to be connected, set it as the target control network, obtain the number of target control networks, set it as the optional network value, and perform discrimination analysis on the optional network value: if the optional network value is greater than 1, generate multiple signals; if the optional network value is equal to 1, generate a single signal.

[0006] Preferably, the grid connection control quality risk evaluation feedback analysis process is as follows: Obtain the basic network information of each target control network corresponding to multiple signals. The basic network information includes defect evaluation values and network quality values; Multiply the defect evaluation value by the corresponding preset proportional coefficient, and then add the sum value obtained by multiplying the network quality value by the corresponding preset proportional coefficient to set it as the network reliability evaluation coefficient. Obtain the maximum value in the network reliability evaluation coefficient, and set the target control network corresponding to the maximum value in the network reliability evaluation coefficient as the preferred network.

[0007] Preferably, the defect evaluation value represents the total duration corresponding to network defects that occurred during the historical use of the target control network. The network defects include latency, packet loss, and jitter; the network quality value represents the sum value obtained by multiplying the historical network speed average of the target control network by the corresponding preset weight factor coefficient of the network speed, and then adding the product of the network bandwidth and the corresponding preset weight factor coefficient of the network bandwidth.

[0008] Preferably, the process of evaluating and analyzing the performance feedback of home control is as follows: Collect the networking control time period of the target smart home and the preferred network, and set it as the time threshold. Obtain the co - control performance information of the target smart home within the time threshold. The co - control performance information includes a response evaluation coefficient and a control evaluation coefficient. Label the response evaluation coefficient and the control evaluation coefficient as XC and KC respectively. Substitute the response evaluation coefficient XC and the control evaluation coefficient KC into the formula to obtain the operation control quality coefficient, where a1 and a2 are the preset weight coefficients of the response evaluation coefficient and the control evaluation coefficient respectively, a3 is the preset correction error factor coefficient, a1, a2, and a3 are all greater than zero, K is the operation control quality coefficient, and perform discriminant processing on the operation control quality coefficient K to obtain a normal signal or an abnormal signal.

[0009] Preferably, the process of evaluating and analyzing the continuous stable control risk is as follows: Obtain the networking characteristic information of the target smart home within the time threshold. The networking characteristic information includes the total number of disconnections and the total disconnection duration. Set the product value obtained by multiplying the normalized values of the total number of disconnections and the total disconnection duration as the control failure risk coefficient. Compare and analyze the control failure risk coefficient with the preset control failure risk coefficient threshold: If the control failure risk coefficient is less than the preset control failure risk coefficient threshold, generate a stable signal; if the control failure risk coefficient is greater than or equal to the preset control failure risk coefficient threshold, generate a replacement signal.

[0010] Preferably, obtain the operating state of the target smart home. The operating state includes a normal operating state and an abnormal operating state. If the operating state of the target smart home is the normal operating state, the target smart home is normal; if the operating state of the target smart home is the abnormal operating state, the target smart home is abnormal; Obtain the status information of the wireless signal indicator of the router corresponding to the preferred network. The status information of the wireless signal indicator includes a normal state and an abnormal state. If the status of the wireless signal indicator of the router corresponding to the preferred network is the normal state, the preferred network is normal; if the status of the wireless signal indicator of the router corresponding to the preferred network is the abnormal state, the preferred network is abnormal; The total disconnection duration represents the total connection duration between the target smart home and the preferred network on the premise that both the preferred network and the target smart home are normal.

[0011] The beneficial effects of the present invention are as follows: (1) The present invention initially analyzes from the perspective of the grid connection method of the target smart home in order to perform stable network connection control on the target smart home, discriminates and processes the number of networks based on the information progression method, analyzes the basic network information of the target control network under multiple optional networks, so as to divide the network from the perspective of network stability, which helps to reduce the interference of the network itself on the subsequent control of the target smart home and ensure the stability and security of the grid connection control of the target smart home. (2) The present invention analyzes the control performance and network connection performance of the target smart home through information feedback to determine whether the overall grid connection operation control quality of the target smart home is qualified, which helps to rationally manage the target smart home to improve the control response performance of the target smart home. At the same time, it helps to replace the network of the target smart home in a timely manner to ensure the continuous stability of the network connection and the control stability of the target smart home. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The present invention will be further described below with reference to the accompanying drawings. Figure 1 is the system flow block diagram of the present invention; Figure 2 is the method reference analysis diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0013] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention. Embodiment

[0014] Please refer to Figures 1 to 2 As shown, the present invention is an intelligent furniture network operation control system, including a smart home network control center, a grid connection selection unit, a grid connection evaluation unit, an operation control performance unit, a continuous network connection analysis unit, and an intelligent management unit. The smart home network control center is unidirectionally communicatively connected to the grid connection selection unit, the grid connection selection unit is unidirectionally communicatively connected to both the grid connection evaluation unit and the intelligent management unit, the grid connection evaluation unit is unidirectionally communicatively connected to the operation control performance unit, the continuous network connection analysis unit, and the intelligent management unit, and both the operation control performance unit and the continuous network connection analysis unit are unidirectionally communicatively connected to the intelligent management unit; The smart home network control center is used to retrieve the connection method of the target smart home and send the connection method to the grid connection selection unit; After receiving the connection method, the grid connection selection unit immediately conducts network control selection division feedback analysis on the connection method to perform stable network connection control on the target smart home, so as to reduce the impact of the network on the control of the target smart home. The specific network control selection division feedback analysis process is as follows: Obtain the connection method between the target smart home and the home network. The connection methods include wired connection and wireless connection, and perform discrimination processing on the connection method: If the connection method is a wired connection, generate a wired signal; If the connection method is a wireless connection, generate a wireless signal; When a wireless signal is generated, collect the home network to which the target smart home is to be connected, set it as the target control network, obtain the number of target control networks, set it as the optional network value, and perform discrimination analysis on the optional network value: If the optional network value is greater than 1, generate multiple signals; If the optional network value is equal to 1, generate a unique signal, and send the target control network corresponding to the unique signal to the intelligent management unit. After receiving the target control network corresponding to the unique signal, the intelligent management unit immediately controls the target smart home to connect to the target control network corresponding to the unique signal; When multiple signals are generated, the grid connection evaluation unit is used to respond to the multiple signals, collect the basic network information of the target control network, and at the same time perform grid connection control quality risk evaluation feedback analysis on the basic network information, so as to ensure the stability and security of the grid connection control of the target smart home. The specific grid connection control quality risk evaluation feedback analysis process is as follows: Obtain the basic network information of each target control network corresponding to the multiple signals. The basic network information includes a defect evaluation value and a network quality value; The defect evaluation value represents the total duration corresponding to network defects that occurred during the historical use of the target control network. Network defects include delay, packet loss, lag, etc.; The network quality value represents the sum value obtained by multiplying the historical network speed average of the target control network by the preset weight factor coefficient corresponding to the network speed and adding the product of the network bandwidth and the preset weight factor coefficient corresponding to the network bandwidth; Multiply the defect evaluation value by the preset proportionality coefficient corresponding to the defect evaluation value, and then add the product of the network quality value and the preset proportionality coefficient corresponding to the network quality value, and set the resulting sum value as the network reliability evaluation coefficient. Obtain the maximum value in the network reliability evaluation coefficient, set the target control network corresponding to the maximum value in the network reliability evaluation coefficient as the preferred network, and send the preferred network to the intelligent management unit. After receiving the preferred network, the intelligent management unit immediately controls the target smart home to connect to the preferred network, so as to ensure the stability and security of the grid connection control of the target smart home. Embodiment

[0015] The operation control performance unit is used to collect the joint control performance information of the target smart home, and conduct a home control performance evaluation and feedback analysis on the joint control performance information to determine whether the actual control performance of the target smart home is qualified, so as to conduct reasonable management on the target smart home. The specific process of home control performance evaluation and feedback analysis is as follows: Collect the network connection control period of the target smart home with the preferred network, and set it as the time threshold. Obtain the joint control performance information of the target smart home within the time threshold. The joint control performance information includes a response evaluation coefficient and a control evaluation coefficient. Label the response evaluation coefficient and the control evaluation coefficient as XC and KC respectively. Substitute the response evaluation coefficient XC and the control evaluation coefficient KC into the formula to obtain the operation control quality coefficient. Among them, a1 and a2 are the preset weight coefficients of the response evaluation coefficient and the control evaluation coefficient respectively, a3 is the preset correction error factor coefficient. a1, a2, and a3 are all greater than zero. K is the operation control quality coefficient, and discriminant processing is performed on the operation control quality coefficient K: If the operation control quality coefficient K is less than the preset operation control quality coefficient threshold, a normal signal is generated; If the operation control quality coefficient K is greater than or equal to the preset operation control quality coefficient threshold, an abnormal signal is generated. Send the normal signal or the abnormal signal to the intelligent management unit. After receiving the normal signal or the abnormal signal, the intelligent management unit immediately performs the preset warning operation corresponding to the normal signal or the abnormal signal, so as to conduct reasonable management on the target smart home to ensure the continuous and stable control of the target smart home; In the embodiment of the present invention, the response evaluation coefficient represents the difference between the maximum value and the minimum value of the time length between the moment when the target smart home receives an instruction and the moment when the instruction is executed among the total number of times the target smart home is controlled within the time threshold. It should be noted that the response evaluation coefficient is an influence parameter reflecting the joint control response stability of the target smart home; In the embodiment of the present invention, the control evaluation coefficient represents the number of control times corresponding to control abnormal characteristics during the control process of the target smart home within the time threshold. The control abnormal characteristics include repeated instruction sending, instruction sending failure, etc. It should be noted that the control evaluation coefficient is an influence parameter reflecting the joint control response stability of the target smart home. The larger the value of the control evaluation coefficient, the greater the risk of abnormal operation control of the target smart home; Repeated instruction sending means that the number of instruction sending operations exceeds 2 times during a single control response process of the target smart home; Instruction sending failure means that the instruction cannot be sent during a single control response process of the target smart home; The continuous networking analysis unit is used to collect the networking feature information of the target smart home, and at the same time conduct a continuous and stable control risk assessment and analysis on the networking feature information to determine whether the control risk of the target smart home is too high, so as to replace the network of the target smart home to ensure the networking stability and control stability of the target smart home. The specific process of continuous and stable control risk assessment and analysis is as follows: Obtain the networking feature information of the target smart home within the time threshold. The networking feature information includes the total number of disconnections and the total disconnection duration. Multiply the values obtained by normalizing the total number of disconnections and the total disconnection duration, and set the product value as the control failure risk coefficient. Compare and analyze the control failure risk coefficient with the preset control failure risk coefficient threshold: If the control failure risk coefficient is less than the preset control failure risk coefficient threshold, a stable signal is generated; If the control failure risk coefficient is greater than or equal to the preset control failure risk coefficient threshold, a replacement signal is generated. Send the stable signal or the replacement signal to the intelligent management unit. After receiving the stable signal or the replacement signal, the intelligent management unit immediately performs the preset warning operation corresponding to the stable signal or the replacement signal to replace the network of the target smart home to ensure the networking stability and control stability of the target smart home; In the embodiment of the present invention, obtain the operating state of the target smart home. The operating state includes the normal operating state and the abnormal operating state. If the operating state of the target smart home is the normal operating state, the target smart home is normal. If the operating state of the target smart home is the abnormal operating state, the target smart home is abnormal; Obtain the status information of the wireless signal indicator of the router corresponding to the preferred network. The status information of the wireless signal indicator includes the normal state and the abnormal state. If the status of the wireless signal indicator of the router corresponding to the preferred network is the normal state, the preferred network is normal. If the status of the wireless signal indicator of the router corresponding to the preferred network is the abnormal state, the preferred network is abnormal; The total disconnection duration represents the total connection duration between the target smart home and the preferred network on the premise that both the preferred network and the target smart home are normal. Embodiment

[0016] A method for controlling the networking operation of intelligent furniture includes the following steps: Step 1: Retrieve the connection method between the target smart home and the home network and perform discriminant processing operations and home network number evaluation operations; Step 2: Based on the information progression method, conduct a grid connection control quality risk assessment and feedback analysis on the collected basic network information, and set the target control network corresponding to the maximum value in the obtained network reliability assessment coefficient as the preferred network and output the feedback; Step 3: Collect the co - control performance information of the target smart home, conduct a home control performance evaluation and feedback analysis, perform discriminant analysis on the operation control quality coefficient K obtained from the analysis, and output and feedback the obtained normal signal or abnormal signal; Step 4: Conduct a continuous and stable control risk evaluation analysis on the networking characteristic information of the target smart home, and output and feedback the obtained stable signal or replacement signal; In summary, the present invention initially analyzes from the perspective of the grid - connection method of the target smart home to facilitate stable networking control of the target smart home. It discriminates and processes the number of networks based on the information progression method, analyzes the basic network information of the target control network under multiple optional networks, and divides the network from the perspective of network stability, which helps to reduce the interference of the network itself on the subsequent control of the target smart home and ensure the stability and security of the grid - connection control of the target smart home; Analyze the control performance and networking performance of the target smart home through information feedback to determine whether the overall grid - connection operation control quality of the target smart home is qualified, which helps to rationalize the management of the target smart home to improve the control response performance of the target smart home. At the same time, it helps to promptly replace the network of the target smart home to ensure the continuous stability of networking and control stability of the target smart home.

[0017] The setting of the threshold value is for the convenience of comparison. Regarding the size of the threshold value, it depends on the amount of sample data and the base quantity set by those skilled in the art for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantified value.

[0018] The size of the coefficient is a specific value obtained by quantifying each parameter for subsequent comparison. Regarding the size of the coefficient, it depends on the amount of sample data and the corresponding operation coefficient initially set by those skilled in the art for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantified value.

[0019] The above formulas are all obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value. The coefficients in the formulas are set by those skilled in the art according to the actual situation. As described above, this is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, making equivalent substitutions or changes, should be covered within the protection scope of the present invention.

Claims

1. An intelligent furniture networked operation control system, characterized in that, It includes a smart home network control center, a grid connection selection unit, a grid connection evaluation unit, an operation control performance unit, a continuous network connection analysis unit, and a smart management unit; The smart home network control center is used to retrieve the connection method of the target smart home, send the connection method to the grid connection selection unit for network control selection division feedback analysis, and obtain multiple signals or a single signal; When multiple signals are generated, the grid connection evaluation unit is used to perform grid connection control quality risk evaluation feedback analysis on the collected basic network information, and set the target control network corresponding to the maximum value in the analyzed network reliability evaluation coefficient as the preferred network; The operation control performance unit is used to perform home control performance evaluation feedback analysis on the collected joint control performance information, and send the analyzed normal signal or abnormal signal to the smart management unit; The continuous network connection analysis unit is used to perform continuous stability control risk evaluation analysis on the collected network connection characteristic information, and send the analyzed stable signal or replacement signal to the smart management unit.

2. The intelligent furniture network operation control system according to claim 1, characterized in that The process of the network control selection division feedback analysis is as follows: Obtain the connection method between the target smart home and the home network. The connection method includes wired connection and wireless connection, and perform discrimination processing on the connection method: if the connection method is a wired connection, generate a wired signal; if the connection method is a wireless connection, generate a wireless signal; When a wireless signal is generated, collect the home network to which the target smart home is to be connected, set it as the target control network, obtain the number of target control networks, set it as the optional network value, and perform discrimination analysis on the optional network value: if the optional network value is greater than 1, generate multiple signals; if the optional network value is equal to 1, generate a single signal.

3. An intelligent furniture networking operation control system according to claim 1, characterized in that, The process of the grid connection control quality risk evaluation feedback analysis is as follows: Obtain the basic network information of each target control network corresponding to multiple signals. The basic network information includes a defect evaluation value and a network quality value; Multiply the defect evaluation value by the corresponding preset proportional coefficient, and then add the sum value obtained by multiplying the network quality value by the corresponding preset proportional coefficient to set it as the network reliability evaluation coefficient. Obtain the maximum value in the network reliability evaluation coefficient, and set the target control network corresponding to the maximum value in the network reliability evaluation coefficient as the preferred network.

4. An intelligent furniture network operation control system according to claim 3, characterized in that, The defect evaluation value represents the total duration corresponding to network defects that occurred during the historical use of the target control network. The network defects include delay, packet loss, and jitter; the network quality value represents the sum value obtained by multiplying the historical network speed average of the target control network by the corresponding preset weight factor coefficient of the network speed, and then adding the product of the network bandwidth and the corresponding preset weight factor coefficient of the network bandwidth.

5. An intelligent furniture networking operation control system according to claim 1, characterized in that, The process of the home control performance evaluation feedback analysis is as follows: Collect the networking control time period of the target smart home and the preferred network, and set it as the time threshold. Obtain the joint control performance information of the target smart home within the time threshold. The joint control performance information includes a response evaluation coefficient and a control evaluation coefficient. Label the response evaluation coefficient and the control evaluation coefficient as XC and KC respectively. Substitute the response evaluation coefficient XC and the control evaluation coefficient KC into the formula to obtain the operation control quality coefficient, where a1 and a2 are the preset weight coefficients of the response evaluation coefficient and the control evaluation coefficient respectively, a3 is the preset correction error factor coefficient, a1, a2, and a3 are all greater than zero, K is the operation control quality coefficient, and perform discriminant processing on the operation control quality coefficient K to obtain a normal signal or an abnormal signal.

6. An intelligent furniture networking operation control system according to claim 1, characterized in that The process of the continuous stability control risk evaluation analysis is as follows: Obtain the network connection feature information of the target smart home within the time threshold. The network connection feature information includes the total number of disconnections and the total disconnection duration. Set the product value obtained by multiplying the normalized values of the total number of disconnections and the total disconnection duration as the control failure risk coefficient, and compare and analyze the control failure risk coefficient with the preset control failure risk coefficient threshold: If the control failure risk coefficient is less than the preset control failure risk coefficient threshold, generate a stable signal; If the control failure risk coefficient is greater than or equal to the preset control failure risk coefficient threshold, generate a replacement signal.

7. An intelligent furniture networking operation control system according to claim 1, characterized in that, Obtain the operating state of the target smart home. The operating state includes a normal operating state and an abnormal operating state. If the operating state of the target smart home is the normal operating state, the target smart home is normal. If the operating state of the target smart home is the abnormal operating state, the target smart home is abnormal; Obtain the status information of the wireless signal indicator of the router corresponding to the preferred network. The status information of the wireless signal indicator includes a normal state and an abnormal state. If the status of the wireless signal indicator of the router corresponding to the preferred network is the normal state, the preferred network is normal. If the status of the wireless signal indicator of the router corresponding to the preferred network is the abnormal state, the preferred network is abnormal; The total disconnection duration represents the total connection duration between the target smart home and the preferred network on the premise that both the preferred network and the target smart home are normal.

8. A method for controlling the networked operation of intelligent furniture, which is applied to an intelligent furniture networked operation control system according to any one of claims 1-7, characterized in that, It includes the following steps: Step 1: Retrieve the connection method between the target smart home and the home network and perform discriminant processing operations and home network number evaluation operations; Step 2: Based on the information progression method, conduct a grid connection control quality risk assessment and feedback analysis on the collected basic network information. Set the target control network corresponding to the maximum value in the obtained network reliability assessment coefficient as the preferred network and output the feedback; Step 3: Collect the joint control performance information of the target smart home and conduct a home control performance assessment and feedback analysis. Perform discriminant analysis on the obtained operation control quality coefficient K, and output the feedback of the obtained normal signal or abnormal signal; Step 4: Conduct a continuous stable control risk assessment and analysis of the network connection feature information of the target smart home, and output the feedback of the obtained stable signal or replacement signal.

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