A fully automatic intelligent thermal insulation door and window system

Abstract

The present invention relates to the technical field of thermally-insulated doors and windows, and in particular to a fully automatic intelligent thermally-insulated doors and windows system, comprising a management platform, a data retrieval unit, a potential control inducing unit, a front-end control deviation unit, a state display unit, a state display unit, an execution evaluation unit, a control safety evaluation unit and a management execution unit; the present invention analyzes the thermally-insulated doors and windows from three perspectives, namely, historical potential interference, operating status and execution performance, to improve the operating safety and control stability of the thermally-insulated doors and windows, and analyzes the operating status and execution performance of the thermally-insulated doors and windows under the premise of stable front-end control, and analyzes the historical potential interference in combination to improve the early warning timeliness and operating safety of the thermally-insulated doors and windows, and performs information fusion evaluation analysis in the form of information feedback and information fusion, so as to timely optimize the entire control system of the thermally-insulated doors and windows, so as to improve the control efficiency and safety of the thermally-insulated doors and windows.

Description

Technical Field

[0001] The invention relates to the technical field of thermal break doors and windows, and in particular to a full-automatic intelligent thermal break door and window system. Background Art

[0002] Doors and windows are one of the important external protective structures of buildings, playing the role of wind and rain protection, heat insulation, sound insulation, lighting, ventilation and other functions. With the improvement of people's living standards, the requirements for doors and windows in decoration are getting higher and higher. As a product with large usage and wide application, doors and windows have a broad market prospect due to their unique advantages. Under the premise of giving full play to their own advantages and improving the problems in the use process, new high-performance doors and windows have begun to enter the sight of consumers;

[0003] Some high-performance doors and windows also need intelligent functions. However, in the existing technology, the supervision and analysis data of the thermal insulation door and window control system is single, resulting in large deviations in the analysis results, reducing the management efficiency of the thermal insulation door and window control system, and failing to manage the operating status and execution performance of the thermal insulation door and window control system in combination with historical potential impacts, thereby affecting the control stability and safety of the thermal insulation door and window, and making reasonable optimization adjustments based on the overall control situation of the thermal insulation door and window, thereby reducing the control efficiency of the thermal insulation door and window;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a fully automatic intelligent thermal insulation door and window system to solve the above-mentioned technical defects. The present invention analyzes the thermal insulation door and window from three perspectives: historical potential interference, operating status, and execution performance, to improve the operation safety and control stability of the thermal insulation door and window. Under the premise of stable front-end control, the operation status and execution performance of the thermal insulation door and window are analyzed, and the analysis is combined with historical potential interference to improve the accuracy of the analysis results, that is, the state risk data is subjected to execution state risk supervision analysis to determine whether the control failure risk of the thermal insulation door and window is too high, so as to carry out early warning management in a timely manner to improve the early warning timeliness and operation safety of the thermal insulation door and window, and the execution operation data is subjected to execution performance supervision evaluation operation to determine whether the execution performance of the thermal insulation door and window is qualified, so as to carry out feedback adjustment in a timely manner, and information fusion evaluation analysis is carried out by means of information feedback and information fusion to determine whether the overall control safety of the thermal insulation door and window is qualified, so as to timely optimize the thermal insulation door and window control system to improve the control efficiency and safety of the thermal insulation door and window.

[0006] The object of the present invention can be achieved by the following technical solutions: a fully automatic intelligent thermal-break door and window system, comprising a management platform, a data retrieval unit, a potential control inducing unit, a front-end control deviation unit, a state performance unit, a state performance unit, an execution evaluation unit, a control safety evaluation unit and a management execution unit;

[0007] The management platform is used to generate operation management instructions and send them to the data retrieval unit;

[0008] The data retrieval unit is used to retrieve potential risk data and front-end interference data of the broken bridge doors and windows, the potential risk data includes a legacy interference value and a line interference value, and the front-end interference data includes an operation deviation value and an execution interference value, and send the potential risk data and the front-end interference data to the potential control inducing unit and the front-end control deviation unit respectively;

[0009] After receiving the potential risk data, the potential control inducing unit immediately performs a residual potential interference evaluation analysis on the potential risk data, and sends the obtained control interference evaluation coefficient Q to the state performance unit and the execution evaluation unit;

[0010] After receiving the front-end interference data, the front-end control deviation unit immediately performs front-end control safety supervision analysis on the front-end interference data, sends the obtained stability signal to the state performance unit and the execution evaluation unit via the potential control inducing unit, and sends the obtained interference signal to the management execution unit;

[0011] After receiving the control interference assessment coefficient Q and the stability signal, the state performance unit immediately collects the state risk data of the broken bridge doors and windows, the state risk data includes the state assessment coefficient and the loss multiplier value, and performs state risk supervision analysis on the state risk data, sends the obtained normal signal to the control safety assessment unit, and sends the obtained risk signal to the management execution unit;

[0012] After receiving the control interference evaluation coefficient Q and the stability signal, the execution evaluation unit immediately collects the execution operation data of the broken bridge doors and windows, the execution operation data includes the number of freezes and the response delay value, and performs an execution performance supervision evaluation operation on the execution operation data, sends the obtained qualified signal to the control safety evaluation unit, and sends the obtained regulation signal to the management execution unit;

[0013] After receiving the normal signal and the qualified signal, the control safety assessment unit immediately performs information fusion evaluation and analysis, and sends the obtained control optimization signal to the management execution unit.

[0014] Preferably, the residual potential interference evaluation and analysis process of the potential control inducing unit is as follows:

[0015] S1: Set a monitoring cycle and set it as a time threshold, and obtain the residual interference value of the broken bridge door and window within the time threshold. The residual interference value represents the ratio of the time corresponding to the operating current of the broken bridge door and window driving end exceeding the preset operating current threshold to the operating time, and then the product value obtained by normalizing the data with the time corresponding to the operating temperature exceeding the preset operating temperature threshold. The operating time represents the total time from the power-on start time to the power-off time of the broken bridge door and window;

[0016] S2: Obtain the line interference value of the broken bridge doors and windows within the time threshold. The line interference value represents the product of the total oxidation area of ​​the driving line port and the line loss value after data normalization. The line loss value represents the number of line surface parameters. The line surface parameters include cracks and bulges. The remaining interference value and the line interference value are labeled YL and XL respectively.

[0017] S3: Obtain the control interference evaluation coefficient Q according to the formula.

[0018] Preferably, the front-end control safety supervision analysis process of the front-end control deviation unit is as follows:

[0019] The control period of the broken bridge doors and windows within the time threshold is obtained, and the control period represents the time length between the moment of sending the control instruction and the moment of ending the control of the broken bridge doors and windows. The control period is divided into i sub-time nodes, where i is a natural number greater than zero. The operation risk value of the broken bridge doors and windows in each sub-time node is obtained. The operation risk value represents the product of the mean operating voltage of the broken bridge doors and windows and the mean reactive power of the line in the sub-time node after data normalization. A rectangular coordinate system is established with the number of sub-time nodes as the X-axis and the operation risk value as the Y-axis. The operation risk value curve is drawn by plotting points, and the difference between the maximum peak value and the minimum trough value of the operation risk value curve is set as the operation deviation value;

[0020] The interference driving value of the broken bridge doors and windows in each sub-time node is obtained. The interference driving value represents the product of the mean value of the environmental electromagnetic interference and the voltage fluctuation frequency after data normalization. The interference driving value is compared and analyzed with the stored preset interference driving value threshold, and the number of sub-time nodes corresponding to the interference driving value greater than the preset interference driving value threshold is set as the execution interference value.

[0021] Preferably, the operation deviation value and the execution interference value are compared and analyzed with the preset operation deviation value threshold and the preset execution interference value threshold which are recorded and stored internally:

[0022] If the operation deviation value is less than a preset operation deviation value threshold, and the execution interference value is less than a preset execution interference value threshold, a stable signal is generated;

[0023] If the operation deviation value is greater than or equal to a preset operation deviation value threshold, or the execution interference value is greater than or equal to a preset execution interference value threshold, an interference signal is generated.

[0024] Preferably, the execution status risk supervision analysis process of the status performance unit is as follows:

[0025] The state evaluation coefficient of the broken bridge door and window within the control period is obtained, and the state evaluation coefficient represents the product value obtained by normalizing the length of the line segment corresponding to the upper part of the preset abnormal sound characteristic curve of the broken bridge door and window and the duration corresponding to the upper line segment, and then the product value obtained by normalizing the part of the maximum working temperature exceeding the initial temperature value;

[0026] The loss multiplier value of the broken bridge doors and windows within the control period is obtained. The loss multiplier value represents the part of the area enclosed by the energy consumption characteristic curve corresponding to the broken bridge doors and windows control period and the X-axis that is greater than the preset threshold, and the product of the number of electrical components whose unit time heating rate exceeds the preset threshold after data normalization processing. The state assessment coefficient and the loss multiplier value are labeled ZP and SH respectively.

[0027] Preferably, the execution performance supervision and evaluation operation process of the execution evaluation unit is as follows:

[0028] The number of jams of the broken bridge doors and windows within the control period is obtained, and the jam duration corresponding to each jam number is obtained. A rectangular coordinate system is established with the jam number as the X-axis and the jam duration as the Y-axis. The jam duration curve is drawn by plotting points, and the change trend value of the jam duration curve is obtained. It is set as the delay multiplier value, and the product value of the delay multiplier value and the average duration of the jam number interval after data normalization is set as the execution jam value;

[0029] The response delay value of the broken bridge doors and windows within the control period is obtained. The response delay value represents the product of the transmission delay value and the response performance value after data normalization. The transmission delay value represents the part of the time between the time when the control instruction is sent and the time when the broken bridge doors and windows start to execute the control instruction that exceeds the preset threshold. The response performance value represents the part of the time between the time when the control instruction is received and the time when the control instruction is completed that exceeds the preset threshold.

[0030] Preferably, the execution jam value and the response delay value are labeled ZK and YW respectively;

[0031] The execution performance evaluation coefficient Z is obtained according to the formula, and the execution performance evaluation coefficient Z is compared and analyzed with the preset execution performance evaluation coefficient threshold value stored in the internal data entry:

[0032] If the ratio between the execution performance evaluation coefficient Z and the preset execution performance evaluation coefficient threshold is less than 1, a qualified signal is generated;

[0033] If the ratio between the execution performance evaluation coefficient Z and the preset execution performance evaluation coefficient threshold is greater than or equal to 1, a control signal is generated.

[0034] Preferably, the control optimization coefficient is compared and analyzed with a preset control optimization coefficient threshold value recorded and stored internally:

[0035] If the control optimization coefficient is less than the preset control optimization coefficient threshold, no signal is generated;

[0036] If the control optimization coefficient is greater than or equal to a preset control optimization coefficient threshold, a control optimization signal is generated.

[0037] The beneficial effects of the present invention are as follows:

[0038] (1) The present invention improves the operational safety and control stability of the thermally-insulated doors and windows by analyzing the historical potential interference, operating status, and execution performance of the thermally-insulated doors and windows. That is, the potential risk data is evaluated for the residual potential interference to understand the impact of the historical potential interference factors on the subsequent control of the thermally-insulated doors and windows, so as to provide data support for the subsequent analysis. The front-end control safety supervision analysis is performed on the front-end interference data to determine whether the front-end stable control risk of the thermally-insulated doors and windows is too high, so as to provide timely early warning feedback management, so as to manage the control interference factors of the thermally-insulated doors and windows according to the information feedback, so as to ensure the control stability of the thermally-insulated doors and windows.

[0039] (2) Under the premise of stable front-end control, the present invention analyzes the operating status and execution performance of the thermally-insulated doors and windows, and analyzes it in combination with historical potential interference to improve the accuracy of the analysis results, that is, to perform status risk supervision analysis on the status risk data to determine whether the control failure risk of the thermally-insulated doors and windows is too high, so as to carry out early warning management in a timely manner to improve the early warning timeliness and operation safety of the thermally-insulated doors and windows, to perform performance supervision and evaluation operations on the execution operation data to determine whether the execution performance of the thermally-insulated doors and windows is qualified, so as to carry out feedback and adjustment in a timely manner, and to carry out information fusion evaluation analysis through information feedback and information fusion to determine whether the overall control safety of the thermally-insulated doors and windows is qualified, so as to timely optimize the thermally-insulated doors and windows control system to improve the control efficiency and safety of the thermally-insulated doors and windows. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention will be further described below in conjunction with the accompanying drawings;

[0041] Figure 1 It is a flowchart of the system of the present invention;

[0042] Figure 2 It is a local analysis reference diagram of the first embodiment of the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] Embodiment 1:

[0045] See also Figure 1 to Figure 2 As shown, the present invention is a fully automatic intelligent thermal break door and window system, including a management platform, a data retrieval unit, a potential control inducing unit, a front-end control deviation unit, a state display unit, a state display unit, an execution evaluation unit, a control safety evaluation unit and a management execution unit, the management platform is connected to the data retrieval unit in a one-way communication, the data retrieval unit is connected to the potential control inducing unit and the front-end control deviation unit in a one-way communication, the front-end control deviation unit is connected to the potential control inducing unit in a one-way communication, the potential control inducing unit is connected to the state display unit and the state display unit in a one-way communication, the state display unit and the state display unit are connected to the control safety evaluation unit and the management execution unit in a one-way communication, and the control safety evaluation unit is connected to the management execution unit in a one-way communication;

[0046] When the management platform generates an operation management instruction, the operation management instruction is sent to the data retrieval unit. After receiving the operation management instruction, the data retrieval unit immediately retrieves the potential risk data and front-end interference data of the broken bridge doors and windows. The potential risk data includes the legacy interference value and the line interference value. The front-end interference data includes the operation deviation value and the execution interference value. The potential risk data and the front-end interference data are sent to the potential control inducing unit and the front-end control deviation unit respectively. After receiving the potential risk data, the potential control inducing unit immediately performs a legacy potential interference assessment and analysis on the potential risk data to understand the impact of historical potential interference factors on the subsequent control of the broken bridge doors and windows, so as to provide data support for subsequent analysis. The specific legacy potential interference assessment and analysis process is as follows:

[0047] Set a monitoring cycle and set it as a time threshold, and obtain the residual interference value of the broken bridge doors and windows within the time threshold. The residual interference value represents the ratio of the time corresponding to the operating current of the driving end of the broken bridge doors and windows exceeding the preset operating current threshold to the operating time, and then the product value obtained by normalizing the data with the time corresponding to the operating temperature exceeding the preset operating temperature threshold. The operating time represents the total time from the power-on start time to the power-off time of the broken bridge doors and windows. It should be noted that the larger the value of the residual interference value, the greater the risk of abnormal control of the broken bridge doors and windows;

[0048] The line interference value of the broken bridge doors and windows within the time threshold is obtained. The line interference value represents the product of the total oxidation area of ​​the driving line port and the line loss value after data normalization. The line loss value represents the number of line surface parameters. The line surface parameters include cracks, bulges, etc. It should be noted that the larger the value of the line interference value, the greater the control abnormality risk of the broken bridge doors and windows. The legacy interference value and the line interference value are labeled as YL and XL respectively;

[0049] According to the formula Obtaining a control interference assessment coefficient, wherein a1 and a2 are respectively preset proportional factor coefficients of the legacy interference value and the line interference value, the proportional factor coefficients are used to correct the deviations of various parameters in the formula calculation process, so as to make the calculation result more accurate, a3 is a preset correction factor coefficient, a1, a2 and a3 are all greater than zero, Q is a control interference assessment coefficient, and the control interference assessment coefficient Q is sent to the state performance unit and the execution assessment unit;

[0050] After receiving the front-end interference data, the front-end control deviation unit immediately performs front-end control safety supervision analysis on the front-end interference data to determine whether the front-end stability control risk of the broken bridge doors and windows is too high, so as to provide timely early warning feedback management, so as to manage the control interference factors of the broken bridge doors and windows according to the information feedback, so as to ensure the control stability of the broken bridge doors and windows. The specific front-end control safety supervision analysis process is as follows:

[0051] The control period of the broken bridge doors and windows within the time threshold is obtained. The control period represents the duration between the time when the control command is sent and the time when the control of the broken bridge doors and windows ends. The control period is divided into i sub-time nodes, where i is a natural number greater than zero. The operation risk value of the broken bridge doors and windows in each sub-time node is obtained. The operation risk value represents the product of the average operating voltage of the broken bridge doors and windows in the sub-time node and the average reactive power of the line after data normalization. A rectangular coordinate system is established with the number of sub-time nodes as the X-axis and the operation risk value as the Y-axis. The operation risk value curve is drawn by plotting points. The difference between the maximum peak value and the minimum trough value of the operation risk value curve is set as the operation deviation value. It should be noted that the larger the value of the operation deviation value, the greater the abnormal risk of the control of the broken bridge doors and windows.

[0052] The interference driving value of the broken bridge doors and windows in each sub-time node is obtained. The interference driving value represents the product value of the mean value of the environmental electromagnetic interference and the voltage fluctuation frequency after data normalization. The interference driving value is compared and analyzed with the stored preset interference driving value threshold. The number of sub-time nodes corresponding to the interference driving value greater than the preset interference driving value threshold is set as the execution interference value. It should be noted that the larger the execution interference value, the greater the risk of abnormal control of the broken bridge doors and windows.

[0053] Compare and analyze the operation deviation value and execution interference value with the preset operation deviation value threshold and preset execution interference value threshold that are stored internally:

[0054] If the operation deviation value is less than the preset operation deviation value threshold, and the execution interference value is less than the preset execution interference value threshold, a stabilization signal is generated, and the stabilization signal is sent to the state representation unit and the execution evaluation unit via the potential control inducing unit;

[0055] If the operation deviation value is greater than or equal to the preset operation deviation value threshold, or the execution interference value is greater than or equal to the preset execution interference value threshold, an interference signal is generated and sent to the management execution unit. After receiving the interference signal, the management execution unit immediately performs the preset warning operation corresponding to the interference signal, so as to timely control the interference factors at the front end of the thermal insulation doors and windows to ensure the control stability of the thermal insulation doors and windows.

[0056] Embodiment 2:

[0057] After receiving the control interference assessment coefficient Q and the stable signal, the state performance unit immediately collects the state risk data of the broken bridge doors and windows. The state risk data includes the state assessment coefficient and the loss multiplier value, and performs state risk supervision analysis on the state risk data to determine whether the control failure risk of the broken bridge doors and windows is too high, so as to carry out early warning management in time to improve the early warning timeliness and operation safety of the broken bridge doors and windows. The specific execution state risk supervision analysis process is as follows:

[0058] The state assessment coefficient of the broken bridge doors and windows within the control period is obtained. The state assessment coefficient represents the product of the length of the line segment corresponding to the upper part of the preset abnormal sound characteristic curve of the broken bridge doors and windows and the duration corresponding to the upper line segment after data normalization, and the product of the part of the maximum working temperature exceeding the initial temperature value after data normalization. It should be noted that the larger the value of the state assessment coefficient, the greater the risk of failure in the working process of the broken bridge doors and windows;

[0059] The loss multiplier value of the broken bridge door and window in the control period is obtained. The loss multiplier value represents the part of the area enclosed by the energy consumption characteristic curve corresponding to the broken bridge door and window control period and the X-axis that is greater than the preset threshold, and the product value obtained after data normalization processing of the number of electrical components whose unit time heating rate exceeds the preset threshold. It should be noted that the larger the value of the loss multiplier value, the greater the risk of failure in the operation process of the broken bridge door and window. The state assessment coefficient and the loss multiplier value are labeled as ZP and SH respectively;

[0060] According to the formula The control risk assessment coefficient is obtained, where f1, f2 and f3 are respectively the preset weight factor coefficients of the state assessment coefficient, the loss multiplier value and the control interference assessment coefficient, f4 is the preset fault tolerance factor coefficient, f1, f2, f3 and f4 are all greater than zero, K is the control risk assessment coefficient, and the control risk assessment coefficient K is compared and analyzed with the preset control risk assessment coefficient threshold value stored in the internal input:

[0061] If the ratio between the control risk assessment coefficient K and the preset control risk assessment coefficient threshold is less than 1, a normal signal is generated and sent to the control safety assessment unit;

[0062] If the ratio between the control risk assessment coefficient K and the preset control risk assessment coefficient threshold is greater than or equal to 1, a risk signal is generated and sent to the management execution unit. After receiving the risk signal, the management execution unit immediately performs the preset warning operation corresponding to the risk signal, so as to carry out early warning management in a timely manner, thereby improving the early warning timeliness and operation safety of the broken bridge doors and windows, and improving the management efficiency of the broken bridge doors and windows;

[0063] After receiving the control interference evaluation coefficient Q and the stable signal, the execution evaluation unit immediately collects the execution operation data of the broken bridge doors and windows, including the number of freezes and the response delay value, and performs an execution performance supervision and evaluation operation on the execution operation data to determine whether the execution performance of the broken bridge doors and windows is qualified, so as to make feedback adjustments in a timely manner. The specific execution performance supervision and evaluation operation process is as follows:

[0064] The number of freezes of the broken bridge doors and windows in the control period is obtained, and the freeze duration corresponding to each freeze number is obtained. A rectangular coordinate system is established with the freeze number as the X-axis and the freeze duration as the Y-axis. The freeze duration curve is drawn by plotting points, and the change trend value of the freeze duration curve is obtained. It is set as the delay multiplier value, and the product value obtained by data normalization of the delay multiplier value and the average of the freeze interval duration is set as the execution freeze value. It should be noted that the larger the execution freeze value, the higher the demand for optimization of the broken bridge doors and windows;

[0065] The response delay value of the broken bridge doors and windows within the control period is obtained. The response delay value represents the product of the transmission delay value and the response performance value after data normalization. The transmission delay value represents the portion of the time between the time when the control command is sent and the time when the broken bridge doors and windows start to execute the control command that exceeds the preset threshold. The response performance value represents the portion of the time between the time when the control command is received and the time when the control command is completed that exceeds the preset threshold. It should be noted that the larger the value of the response delay value, the higher the execution optimization requirement of the broken bridge doors and windows. The execution jam value and the response delay value are labeled as ZK and YW respectively.

[0066] According to the formula The execution performance evaluation coefficient is obtained, where v1 is the preset compensation factor coefficient, v1 is greater than zero, and Z is the execution performance evaluation coefficient. The execution performance evaluation coefficient Z is compared and analyzed with the preset execution performance evaluation coefficient threshold value stored in the internal storage:

[0067] If the ratio between the execution performance evaluation coefficient Z and the preset execution performance evaluation coefficient threshold is less than 1, a qualified signal is generated and sent to the control safety evaluation unit;

[0068] If the ratio between the execution performance evaluation coefficient Z and the preset execution performance evaluation coefficient threshold is greater than or equal to 1, a control signal is generated and sent to the management execution unit. After receiving the control signal, the management execution unit immediately performs the preset warning operation corresponding to the control signal, so as to make feedback adjustments in time to improve the execution performance of the thermal insulation doors and windows;

[0069] After receiving the normal signal and the qualified signal, the control safety assessment unit immediately conducts information fusion assessment and analysis to determine whether the overall control safety of the thermal insulation doors and windows is qualified, so as to optimize the management in a timely manner. The specific information fusion assessment and analysis process is as follows:

[0070] Obtain the control risk assessment coefficient K corresponding to the normal signal, obtain the execution performance assessment coefficient Z corresponding to the qualified signal, and substitute the obtained control risk assessment coefficient K and execution performance assessment coefficient Z into the formula The control performance evaluation coefficient is calculated, where α is the preset error factor coefficient, α is greater than zero, AQ is the control performance evaluation coefficient, and the control performance evaluation coefficients AQ1…AQm of the broken bridge doors and windows within the historical m time thresholds are obtained, where m is a natural number greater than zero. Then, a set A of control performance evaluation coefficients is constructed, and the discrete coefficients of set A are obtained and set as control optimization coefficients. The control optimization coefficients are compared and analyzed with the preset control optimization coefficient thresholds stored in the internal entry:

[0071] If the control optimization coefficient is less than the preset control optimization coefficient threshold, no signal is generated;

[0072] If the control optimization coefficient is greater than or equal to the preset control optimization coefficient threshold, a control optimization signal is generated and sent to the management execution unit. After receiving the control optimization signal, the management execution unit immediately performs a preset warning operation corresponding to the control optimization signal, so as to optimize the control system of the thermal insulation doors and windows in a timely manner, so as to improve the control efficiency and safety of the thermal insulation doors and windows;

[0073] In summary, the present invention improves the operational safety and control stability of the thermally-broken doors and windows by analyzing from three perspectives: historical potential interference, operating status, and execution performance. That is, a legacy potential interference assessment analysis is performed on potential risk data to understand the impact of historical potential interference factors on the subsequent control of the thermally-broken doors and windows, so as to provide data support for subsequent analysis; and a front-end control safety supervision analysis is performed on the front-end interference data to determine whether the front-end stability control risk of the thermally-broken doors and windows is too high, so as to provide timely early warning feedback management, so as to manage the control interference factors of the thermally-broken doors and windows according to the information feedback to ensure the control stability of the thermally-broken doors and windows, and under the premise of front-end control stability, the operating status of the thermally-broken doors and windows is monitored. And execution performance is analyzed, and combined with historical potential interference analysis to improve the accuracy of the analysis results, that is, execution status risk supervision analysis is performed on the status risk data to determine whether the control failure risk of the broken bridge doors and windows is too high, so as to carry out early warning management in time to improve the early warning timeliness and operation safety of the broken bridge doors and windows, and execution performance supervision evaluation operations are performed on the execution operation data to determine whether the execution performance of the broken bridge doors and windows is qualified, so as to make timely feedback adjustments, and information fusion evaluation analysis is performed through information feedback and information fusion to determine whether the overall control safety of the broken bridge doors and windows is qualified, so as to optimize the broken bridge door and window control system in time to improve the control efficiency and safety of the broken bridge doors and windows.

[0074] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0075] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A fully automatic intelligent thermal insulation door and window system, characterized in that: It includes a management platform, a data retrieval unit, a potential control inducing unit, a front-end control deviation unit, a state display unit, an execution evaluation unit, a control safety evaluation unit and a management execution unit; The management platform is used to generate operation management instructions and send them to the data retrieval unit; The data retrieval unit is used to retrieve potential risk data and front-end interference data of the broken bridge doors and windows, the potential risk data includes a legacy interference value and a line interference value, and the front-end interference data includes an operation deviation value and an execution interference value, and send the potential risk data and the front-end interference data to the potential control inducing unit and the front-end control deviation unit respectively; After receiving the potential risk data, the potential control inducing unit immediately performs a residual potential interference evaluation analysis on the potential risk data, and sends the obtained control interference evaluation coefficient Q to the state performance unit and the execution evaluation unit; After receiving the front-end interference data, the front-end control deviation unit immediately performs front-end control safety supervision analysis on the front-end interference data, sends the obtained stability signal to the state performance unit and the execution evaluation unit via the potential control inducing unit, and sends the obtained interference signal to the management execution unit; After receiving the control interference assessment coefficient Q and the stability signal, the state performance unit immediately collects the state risk data of the broken bridge doors and windows, the state risk data includes the state assessment coefficient and the loss multiplier value, and performs state risk supervision analysis on the state risk data, sends the obtained normal signal to the control safety assessment unit, and sends the obtained risk signal to the management execution unit; After receiving the control interference evaluation coefficient Q and the stability signal, the execution evaluation unit immediately collects the execution operation data of the broken bridge doors and windows, the execution operation data includes the number of freezes and the response delay value, and performs an execution performance supervision evaluation operation on the execution operation data, sends the obtained qualified signal to the control safety evaluation unit, and sends the obtained regulation signal to the management execution unit; After receiving the normal signal and the qualified signal, the control safety assessment unit immediately performs information fusion assessment and analysis, and sends the obtained control optimization signal to the management execution unit; The residual potential interference evaluation and analysis process of the potential control inducing unit is as follows: S1: Set a monitoring cycle and set it as a time threshold, and obtain the residual interference value of the broken bridge door and window within the time threshold. The residual interference value represents the ratio of the time corresponding to the operating current of the broken bridge door and window driving end exceeding the preset operating current threshold to the operating time, and then the product value obtained by normalizing the data with the time corresponding to the operating temperature exceeding the preset operating temperature threshold. The operating time represents the total time from the power-on start time to the power-off time of the broken bridge door and window; S2: Obtain the line interference value of the broken bridge doors and windows within the time threshold. The line interference value represents the product of the total oxidation area of ​​the driving line port and the line loss value after data normalization. The line loss value represents the number of line surface parameters. The line surface parameters include cracks and bulges. The remaining interference value and the line interference value are labeled YL and XL respectively. S3: According to the formula Obtaining a control interference assessment coefficient, wherein a1 and a2 are respectively preset proportional factor coefficients of the legacy interference value and the line interference value, the proportional factor coefficients are used to correct the deviations of various parameters in the formula calculation process, so as to make the calculation result more accurate, a3 is a preset correction factor coefficient, a1, a2 and a3 are all greater than zero, Q is a control interference assessment coefficient, and the control interference assessment coefficient Q is sent to the state performance unit and the execution assessment unit; The front-end control safety supervision analysis process of the front-end control deviation unit is as follows: The control period of the broken bridge doors and windows within the time threshold is obtained, and the control period represents the time length between the moment of sending the control instruction and the moment of ending the control of the broken bridge doors and windows. The control period is divided into i sub-time nodes, where i is a natural number greater than zero. The operation risk value of the broken bridge doors and windows in each sub-time node is obtained. The operation risk value represents the product of the mean operating voltage of the broken bridge doors and windows and the mean reactive power of the line in the sub-time node after data normalization. A rectangular coordinate system is established with the number of sub-time nodes as the X-axis and the operation risk value as the Y-axis. The operation risk value curve is drawn by plotting points, and the difference between the maximum peak value and the minimum trough value of the operation risk value curve is set as the operation deviation value; Obtain the interference driving value of the broken bridge doors and windows in each sub-time node, the interference driving value represents the product value of the mean value of the environmental electromagnetic interference and the voltage fluctuation frequency after data normalization processing, compare and analyze the interference driving value with the stored preset interference driving value threshold, and set the number of sub-time nodes corresponding to the interference driving value greater than the preset interference driving value threshold as the execution interference value; The operation deviation value and the execution interference value are compared and analyzed with the preset operation deviation value threshold and the preset execution interference value threshold that are recorded and stored internally: If the operation deviation value is less than a preset operation deviation value threshold, and the execution interference value is less than a preset execution interference value threshold, a stable signal is generated; If the operation deviation value is greater than or equal to a preset operation deviation value threshold, or the execution interference value is greater than or equal to a preset execution interference value threshold, an interference signal is generated; The execution status risk supervision analysis process of the status performance unit is as follows: The state evaluation coefficient of the broken bridge door and window within the control period is obtained, and the state evaluation coefficient represents the product value obtained by normalizing the length of the line segment corresponding to the upper part of the preset abnormal sound characteristic curve of the broken bridge door and window and the duration corresponding to the upper line segment, and then the product value obtained by normalizing the part of the maximum working temperature exceeding the initial temperature value; The loss multiplier value of the broken bridge door and window in the control period is obtained. The loss multiplier value represents the part of the area enclosed by the energy consumption characteristic curve corresponding to the broken bridge door and window control period and the X-axis that is greater than the preset threshold, and the product value obtained after data normalization processing of the number of electrical components whose unit time heating rate exceeds the preset threshold. The state assessment coefficient and the loss multiplier value are labeled as ZP and SH respectively; The formula analysis process of the state assessment coefficient ZP and the loss multiple value SH is as follows: According to the formula The control risk assessment coefficient is obtained, where f1, f2 and f3 are respectively the preset weight factor coefficients of the state assessment coefficient, the loss multiplier value and the control interference assessment coefficient, f4 is the preset fault tolerance factor coefficient, f1, f2, f3 and f4 are all greater than zero, K is the control risk assessment coefficient, and the control risk assessment coefficient K is compared and analyzed with the preset control risk assessment coefficient threshold value stored in the internal input: If the ratio between the control risk assessment coefficient K and the preset control risk assessment coefficient threshold is less than 1, a normal signal is generated; If the ratio between the control risk assessment coefficient K and the preset control risk assessment coefficient threshold is greater than or equal to 1, a risk signal is generated; The execution performance supervision and evaluation operation process of the execution evaluation unit is as follows: The number of jams of the broken bridge doors and windows within the control period is obtained, and the jam duration corresponding to each jam number is obtained. A rectangular coordinate system is established with the jam number as the X-axis and the jam duration as the Y-axis. The jam duration curve is drawn by plotting points, and the change trend value of the jam duration curve is obtained. It is set as the delay multiplier value, and the product value of the delay multiplier value and the average duration of the jam number interval after data normalization is set as the execution jam value; The response delay value of the broken bridge door and window within the control period is obtained, and the response delay value represents the product value obtained after data normalization of the transmission delay value and the response performance value. The transmission delay value represents the portion of the time between the time when the control instruction is sent and the time when the broken bridge door and window starts to execute the control instruction exceeding the preset threshold value, and the response performance value represents the portion of the time between the time when the control instruction is received and the time when the control instruction is completed exceeding the preset threshold value; The execution jam value and the response delay value are labeled ZK and YW respectively; According to the formula The execution performance evaluation coefficient is obtained, where v1 is the preset compensation factor coefficient, v1 is greater than zero, and Z is the execution performance evaluation coefficient. The execution performance evaluation coefficient Z is compared and analyzed with the preset execution performance evaluation coefficient threshold value stored in the internal storage: If the ratio between the execution performance evaluation coefficient Z and the preset execution performance evaluation coefficient threshold is less than 1, a qualified signal is generated and sent to the control safety assessment unit; if the ratio between the execution performance evaluation coefficient Z and the preset execution performance evaluation coefficient threshold is greater than or equal to 1, a control signal is generated and sent to the management execution unit. After receiving the control signal, the management execution unit immediately performs the preset warning operation corresponding to the control signal.

2. The fully automatic intelligent thermal break door and window system according to claim 1, characterized in that: The information fusion evaluation and analysis process is as follows: Obtain the control risk assessment coefficient K corresponding to the normal signal, obtain the execution performance assessment coefficient Z corresponding to the qualified signal, and substitute the obtained control risk assessment coefficient K and execution performance assessment coefficient Z into the formula The control performance evaluation coefficient is calculated, where α is the preset error factor coefficient, α is greater than zero, AQ is the control performance evaluation coefficient, and the control performance evaluation coefficients AQ1…AQm of the broken bridge doors and windows within the historical m time thresholds are obtained, where m is a natural number greater than zero. Then, a set A of control performance evaluation coefficients is constructed, and the discrete coefficients of set A are obtained and set as control optimization coefficients. The control optimization coefficients are compared and analyzed with the preset control optimization coefficient thresholds stored in the internal entry: The control optimization coefficient is compared and analyzed with the preset control optimization coefficient threshold value recorded and stored internally: If the control optimization coefficient is less than the preset control optimization coefficient threshold, no signal is generated; If the control optimization coefficient is greater than or equal to the preset control optimization coefficient threshold, a control optimization signal is generated and sent to the management execution unit. After receiving the control optimization signal, the management execution unit immediately performs the preset warning operation corresponding to the control optimization signal.

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