A barbecue machine temperature data intelligent processing system

Abstract

The present invention relates to the field of data processing technology, and in particular to an intelligent processing system for temperature data of a barbecue machine, comprising a temperature control platform, a temperature control information unit, a temperature pipe analysis unit, an operation management evaluation unit, a heating supervision unit, a control processing unit and a management execution unit; the present invention analyzes from the perspective of the operation quality of the barbecue machine so as to rationally manage and adjust the barbecue machine and reduce the influence on the temperature control accuracy of the barbecue machine, and performs temperature difference floating risk feedback analysis on the temperature data in the form of information feedback so as to reasonably perform temperature management according to the feedback information to ensure the working efficiency and temperature control accuracy of the barbecue machine, and performs analysis from the two points of heating and temperature control in a progressive manner to determine whether the temperature data deviation risk of the barbecue machine is caused by abnormal heating or temperature control, so as to manage the temperature control element of the barbecue machine according to the information feedback to ensure the effectiveness of the temperature control of the barbecue machine.

Description

Technical Field

[0001] The invention relates to the technical field of data processing, and in particular to an intelligent processing system for temperature data of a barbecue machine. Background Art

[0002] Barbecue machine is a kind of barbecue food mechanical equipment. The development of intelligent barbecue machine system not only improves the convenience of barbecue operation for users, but also enhances the taste and deliciousness of barbecue. In the future, with the continuous development of artificial intelligence and Internet of Things technology, intelligent barbecue system is expected to become a part of outdoor life and lead the intelligent trend of barbecue culture.

[0003] The temperature management of the barbecue machine affects the quality of the barbecue. However, in the prior art, when monitoring and analyzing the operation of the barbecue machine, it is impossible to analyze the operation quality of the barbecue machine from multiple angles, thereby affecting the subsequent analysis accuracy and the management effect of the barbecue machine. It is also impossible to further monitor the barbecue temperature of the barbecue machine, thereby affecting the barbecue temperature control accuracy and effectiveness of the barbecue machine.

[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 an intelligent processing system for temperature data of a barbecue machine to solve the technical defects mentioned above. The present invention analyzes the barbecue machine from the perspective of its operating quality so as to rationally manage and adjust the barbecue machine according to information feedback to reduce the impact on the temperature control accuracy of the barbecue machine. The temperature data is fed back and analyzed for temperature difference floating risk by means of information feedback so as to reasonably manage the temperature according to the feedback information to ensure the working efficiency and temperature control accuracy of the barbecue machine. The system also analyzes from the two points of heating and temperature control in a progressive manner to determine whether the risk of temperature data deviation of the barbecue machine is caused by abnormal heating or temperature control, so as to manage the temperature control elements of the barbecue machine according to the information feedback to ensure the effectiveness and stability of the temperature control of the barbecue machine.

[0006] The object of the present invention can be achieved by the following technical solutions: A barbecue machine temperature data intelligent processing system, including a temperature control platform, a temperature control information unit, a temperature control analysis unit, an operation management evaluation unit, a heating supervision unit, a control processing unit and a management execution unit;

[0007] When the temperature control information unit receives the supervision instruction, it immediately collects the temperature data and status data of the barbecue machine, and sends the temperature data and status data to the temperature control analysis unit and the operation management evaluation unit respectively;

[0008] After receiving the status data, the operation management evaluation unit immediately performs operation interference supervision evaluation analysis on the status data, performs discrimination processing on the obtained operation quality risk coefficient Z to obtain the operation quality index YZ, and further performs discrimination processing on the operation quality index YZ to obtain a normal signal and a risk signal, and sends the risk signal to the management execution unit;

[0009] The temperature pipe analysis unit responds to the normal signal, performs temperature difference floating risk feedback analysis on the received temperature data, performs discrimination processing on the obtained floating deviation index, and obtains a deviation signal;

[0010] The heating supervision unit is used to respond to the deviation signal, collect the temperature processing data of the barbecue machine, perform temperature control safety supervision operations on the temperature processing data, compare and analyze the obtained temperature control interference risk coefficient, obtain an alarm signal, and send the alarm signal to the management execution unit;

[0011] The control processing unit responds to the deviation signal, collects control data of the temperature control element, performs control risk assessment and analysis operations on the control data, and sends the obtained feedback signal to the management execution unit.

[0012] Preferably, the operation interference supervision assessment and analysis process of the operation management assessment unit is as follows:

[0013] The status data of the barbecue machine within the time threshold is obtained. The status data includes the operation interference index, parameter performance index and physical characteristic index. The operation interference index, parameter performance index and physical characteristic index are labeled as YG, CB and TW respectively. The operation interference index YG, parameter performance index CB and physical characteristic index TW are substituted into the formula to obtain the operation quality risk coefficient Z. The operation quality risk coefficient Z is compared and analyzed with the thresholds E1 and E2 stored in the operation management evaluation analysis. The threshold E1 is less than the threshold E2:

[0014] If the operation quality risk factor Z is less than the threshold E1, it is judged as the first level state;

[0015] If the threshold E1≤operation quality risk factor Z≤threshold E2, it is judged as the second level state;

[0016] If the operation quality risk coefficient Z>threshold E2, it is determined to be a level 3 state, and the level 1 state, level 2 state and level 3 state are set as the operation quality index YZ, YZ=1, 2, 3, and the operation quality index YZ is discriminated:

[0017] If the running quality index YZ=1 or the running quality index YZ=2, a normal signal is generated;

[0018] If the operation quality index YZ=3, a risk signal is generated.

[0019] Preferably, the operation interference index represents the sum of the total number of parts replacements and the total number of failures in the history of the barbecue machine; the parameter performance index represents the product obtained by multiplying the actual operating power of the barbecue machine and the average operating voltage after data normalization; the physical characteristic index represents the number of times that the value corresponding to the operating characteristic parameter of the barbecue machine exceeds the preset threshold and the corresponding time length is greater than the preset time length, and the operating characteristic parameters include vibration amplitude and abnormal sound value.

[0020] Preferably, the temperature difference floating risk feedback analysis process of the temperature pipe analysis unit is as follows:

[0021] The barbecue machine operation time period is collected, and the barbecue machine operation time period is set as the time threshold, and the time threshold is divided into i sub-time periods, where i is a natural number greater than zero, and the temperature data of the barbecue machine in each sub-time period is obtained, and the temperature data represents the temperature difference floating value, and the temperature difference floating value represents the maximum difference between the actual barbecue temperature value of the barbecue machine and the set barbecue temperature value in the sub-time period;

[0022] A rectangular coordinate system is established with the number of sub-time periods as the X-axis and the temperature data as the Y-axis. The temperature data curve is drawn by plotting points. At the same time, a preset temperature data curve is drawn in the rectangular coordinate system to obtain the vertical distance between the maximum peak value in the temperature data curve and the preset temperature data curve, and the vertical distance between the maximum peak value in the temperature data curve and the preset temperature data curve is set as the floating deviation index.

[0023] Preferably, the determination process of the floating deviation index is as follows:

[0024] Compare and analyze the floating deviation index with the preset floating deviation index threshold value stored in the temperature pipe analysis unit:

[0025] If the ratio between the floating deviation index and the preset floating deviation index threshold is less than 1, no signal is generated; if the ratio between the floating deviation index and the preset floating deviation index threshold is greater than or equal to 1, a deviation signal is generated.

[0026] Preferably, the temperature control safety supervision operation process of the heating supervision unit is as follows:

[0027] The temperature processing data of the barbecue machine in each sub-time period is obtained, the temperature processing data includes the total heating amount and the total energy consumption, and then the ratio between the total heating amount and the total energy consumption is obtained, and the ratio between the total heating amount and the total energy consumption is set as the heating efficiency coefficient;

[0028] The heating efficiency coefficient is compared and analyzed with the preset heating efficiency coefficient threshold value entered and stored in the heating supervision unit. If the heating efficiency coefficient is greater than or equal to the preset heating efficiency coefficient threshold value, the sub-time period corresponding to the heating efficiency coefficient being greater than or equal to the preset heating efficiency coefficient threshold value is set as the high-efficiency period. If the heating efficiency coefficient is less than the preset heating efficiency coefficient threshold value, the sub-time period corresponding to the heating efficiency coefficient being less than the preset heating efficiency coefficient threshold value is set as the inefficient period.

[0029] Preferably, the ratio between the number of inefficient time periods and the number of efficient time periods is set as the heating deviation index JR, and the operation quality index YZ corresponding to the normal signal is obtained at the same time, and the heating deviation index JR and the operation quality index YZ are substituted into the formula K = [ JR × f 1 ÷ ( YZ × f 2 ) ] 2 × f 3 The temperature control interference risk coefficient is obtained, where f1 and f2 are the preset weight factor coefficients of the heating deviation index JR and the operation quality index YZ respectively, f3 is the preset fault tolerance factor coefficient, f1, f2 and f3 are all greater than zero, K is the temperature control interference risk coefficient, and the temperature control interference risk coefficient K is compared and analyzed with the preset temperature control interference risk coefficient threshold value stored in the heating supervision unit:

[0030] If the ratio between the temperature control interference risk factor K and the preset temperature control interference risk factor threshold is less than 1, no signal is generated;

[0031] If the ratio between the temperature control interference risk coefficient K and the preset temperature control interference risk coefficient threshold is greater than or equal to 1, an alarm signal is generated.

[0032] Preferably, the control risk assessment and analysis operation process of the control processing unit is as follows:

[0033] Acquire control data of the temperature control element within the time threshold, the control data including a reading deviation value and an energy efficiency risk value, and compare and analyze the reading deviation value and the energy efficiency risk value with a preset reading deviation value threshold and a preset energy efficiency risk value threshold recorded and stored in the control processing unit;

[0034] If the read deviation value is less than the preset read deviation value threshold, and the energy efficiency risk value is less than the preset energy efficiency risk value threshold, no signal is generated;

[0035] If the read deviation value is greater than or equal to the preset read deviation value threshold, or the energy efficiency risk value is greater than or equal to the preset energy efficiency risk value threshold, a feedback signal is generated;

[0036] The reading deviation value indicates the proportion of the number of times the difference between the corresponding read temperature value and the set control temperature during control is greater than the preset threshold value in the total number of temperature control times of the temperature control element; the energy efficiency risk value indicates the duration of time when the energy consumption rate of the temperature control element exceeds the preset energy consumption rate threshold value.

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

[0038] (1) The present invention analyzes the operation quality of the barbecue machine so as to rationally manage and adjust the barbecue machine according to the information feedback and reduce the impact on the temperature control accuracy of the barbecue machine. That is, the operation interference supervision evaluation analysis is performed on the state data of the barbecue machine to understand the operation quality level of the barbecue machine so as to provide data support for subsequent analysis. The temperature data is fed back by information to analyze the temperature difference floating risk feedback to determine whether the temperature data of the barbecue machine is normal, so as to reasonably manage the temperature according to the feedback information to ensure the working efficiency and temperature control accuracy of the barbecue machine.

[0039] (2) The present invention analyzes the heating and temperature control points in a progressive manner to determine whether the risk of temperature data deviation of the barbecue machine is caused by abnormal heating or temperature control, that is, to perform temperature control safety supervision operations on the temperature processing data, and to analyze the operation quality index of the barbecue machine to improve the accuracy of the analysis results, so as to make timely management adjustments to reduce the risk of temperature control deviation of the barbecue machine, and to perform control risk assessment and analysis operations on the control data to determine whether the control of the temperature control element of the barbecue machine is effective, so as to manage the temperature control element of the barbecue machine according to the information feedback to ensure the effectiveness and stability of the temperature control of the barbecue machine. 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 flow chart of the structural system of the present invention;

[0042] Figure 2 It is a local analysis reference diagram of the second 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 2As shown, the present invention is a barbecue machine temperature data intelligent processing system, including a temperature control platform, a temperature control information unit, a temperature pipe analysis unit, an operation management evaluation unit, a heating supervision unit, a control processing unit and a management execution unit, the temperature control platform and the temperature control information unit are in a one-way communication connection, the temperature control information unit and the temperature pipe analysis unit and the operation management evaluation unit are in a one-way communication connection, the operation management evaluation unit and the temperature pipe analysis unit and the management execution unit are in a one-way communication connection, the temperature pipe analysis unit and the heating supervision unit, the control processing unit and the management execution unit are in a one-way communication connection, the heating supervision unit and the control processing unit are in a one-way communication connection with the management execution unit;

[0046] When the temperature control platform monitors the operation of any barbecue machine, a supervision instruction is generated and sent to the temperature control information unit. When the temperature control information unit receives the supervision instruction, it immediately collects the temperature data and status data of the barbecue machine, and sends the temperature data and status data to the temperature management analysis unit and the operation management evaluation unit respectively. After receiving the status data, the operation management evaluation unit immediately performs operation interference supervision evaluation analysis on the status data to understand the operation quality of the barbecue machine, so as to provide data support for subsequent analysis. The specific operation interference supervision evaluation analysis process is as follows:

[0047] Obtain the status data of the barbecue machine within the time threshold, the status data includes the operation interference index, parameter performance index and physical characteristic index, the operation interference index, parameter performance index and physical characteristic index are labeled as YG, CB and TW respectively, and the operation interference index YG, parameter performance index CB and physical characteristic index TW are substituted into the formula The operation quality risk coefficient is obtained, where a1, a2 and a3 are the preset proportional factor coefficients of the operation interference index, parameter performance index and physical characteristic index respectively. The proportional factor coefficient is used to correct the deviation of each parameter in the formula calculation process, so as to make the calculation result more accurate. a4 is the preset correction factor coefficient. a1, a2, a3 and a4 are all greater than zero. Z is the operation quality risk coefficient. The operation quality risk coefficient Z is compared with the threshold E1 and threshold E2 stored in the operation management evaluation analysis. The threshold E1 is less than the threshold E2:

[0048] If the operation quality risk factor Z is less than the threshold E1, it is judged as the first level state;

[0049] If the threshold E1≤operation quality risk factor Z≤threshold E2, it is judged as the second level state;

[0050] If the operation quality risk coefficient Z>threshold E2, it is determined to be a three-level state, wherein the operation quality risks of the first-level state, the second-level state and the third-level state increase in sequence, and the first-level state, the second-level state and the third-level state are set as the operation quality index YZ, YZ=1, 2, 3, that is, the operation quality index YZ=1 indicates the first-level state, the operation quality index YZ=2 indicates the second-level state, and the operation quality index YZ=3 indicates the third-level state, and the operation quality index YZ is judged:

[0051] If the running quality index YZ=1 or the running quality index YZ=2, a normal signal is generated;

[0052] If the operation quality index YZ=3, 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 operation corresponding to the risk signal, so as to make reasonable management adjustments to the barbecue machine according to the information feedback, so as to improve the operation quality of the barbecue machine and reduce the impact on the temperature control accuracy of the barbecue machine;

[0053] In the embodiment of the present invention, the operation interference index represents the sum of the total number of parts replacements and the total number of failures in the history of the barbecue machine. It should be noted that the potential risk of the barbecue machine is analyzed from the perspective of parts replacement and failure, that is, the potential impact of parts rejection and failure damage;

[0054] In the embodiment of the present invention, the parameter performance index represents the product value obtained by multiplying the actual operating power of the barbecue machine and the average operating voltage after data normalization. It should be noted that the operating quality of the barbecue machine is understood from the perspective of working parameters;

[0055] In the embodiment of the present invention, the physical characteristic index indicates the number of times that the value corresponding to the operating characteristic parameter of the barbecue machine exceeds the preset threshold and the corresponding time length is greater than the preset time length. The operating characteristic parameter includes the vibration amplitude, the abnormal sound value, etc. It should be noted that the operating quality of the barbecue machine is analyzed from the perspective of physical characteristics to provide data support for subsequent analysis;

[0056] When a normal signal is generated, the temperature pipe analysis unit responds to the normal signal and performs a temperature difference floating risk feedback analysis on the received temperature data to determine whether the temperature data of the barbecue machine is normal, so as to reasonably manage the temperature according to the feedback information to ensure the working efficiency and temperature control accuracy of the barbecue machine. The specific temperature difference floating risk feedback analysis process is as follows:

[0057] The barbecue machine operation time period is collected, and the barbecue machine operation time period is set as the time threshold, and the time threshold is divided into i sub-time periods, where i is a natural number greater than zero, and the temperature data of the barbecue machine in each sub-time period is obtained. The temperature data represents the temperature difference floating value, and the temperature difference floating value represents the maximum difference between the actual barbecue temperature value and the set barbecue temperature value of the barbecue machine in the sub-time period. It should be noted that the temperature data is a parameter that reflects the influence of the barbecue machine on the temperature control accuracy;

[0058] A rectangular coordinate system is established with the number of sub-time periods as the X-axis and the temperature data as the Y-axis. The temperature data curve is drawn by plotting points. At the same time, a preset temperature data curve is drawn in the rectangular coordinate system, and the vertical distance between the maximum peak value in the temperature data curve and the preset temperature data curve is obtained. The vertical distance between the maximum peak value in the temperature data curve and the preset temperature data curve is set as the floating deviation index, and the floating deviation index is compared and analyzed with the preset floating deviation index threshold value stored in the temperature pipe analysis unit:

[0059] If the ratio between the floating deviation index and the preset floating deviation index threshold is less than 1, no signal is generated;

[0060] If the ratio between the floating deviation index and the preset floating deviation index threshold is greater than or equal to 1, a deviation signal is generated and sent to the management execution unit. After receiving the deviation signal, the management execution unit immediately displays the preset warning text corresponding to the deviation signal, so as to perform temperature control management on the barbecue machine according to the information feedback to ensure the temperature control accuracy of the barbecue machine.

[0061] Embodiment 2:

[0062] When a deviation signal is generated, the heating supervision unit is used to respond to the deviation signal and collect the temperature processing data of the barbecue machine. At the same time, the temperature control safety supervision operation is performed on the temperature processing data to determine whether the temperature control deviation risk of the barbecue machine is caused by the abnormality of the heating component of the barbecue machine, so as to make timely management adjustments to reduce the temperature control deviation risk of the barbecue machine. The specific temperature control safety supervision operation process is as follows:

[0063] The temperature processing data of the barbecue machine in each sub-time period is obtained, and the temperature processing data includes the total heating amount and the total energy consumption. Then, the ratio between the total heating amount and the total energy consumption is obtained, and the ratio between the total heating amount and the total energy consumption is set as the heating efficiency coefficient. It should be noted that the greater the energy consumption of the barbecue machine and the less the heating amount, the greater the risk of abnormal heating temperature of the barbecue machine.

[0064] Compare and analyze the heating efficiency coefficient with the preset heating efficiency coefficient threshold value recorded and stored in the heating supervision unit; if the heating efficiency coefficient is greater than or equal to the preset heating efficiency coefficient threshold value, set the sub-time period corresponding to the heating efficiency coefficient being greater than or equal to the preset heating efficiency coefficient threshold value as the high-efficiency period; if the heating efficiency coefficient is less than the preset heating efficiency coefficient threshold value, set the sub-time period corresponding to the heating efficiency coefficient being less than the preset heating efficiency coefficient threshold value as the low-efficiency period;

[0065] The ratio between the number of inefficient time periods and the number of efficient time periods is set as the heating deviation index JR. At the same time, the operation quality index YZ corresponding to the normal signal is obtained. The heating deviation index JR and the operation quality index YZ are substituted into the formula K = [ JR × f 1 ÷ ( YZ × f 2 ) ] 2 × f 3 The temperature control interference risk coefficient is obtained, where f1 and f2 are the preset weight factor coefficients of the heating deviation index JR and the operation quality index YZ respectively, f3 is the preset fault tolerance factor coefficient, f1, f2 and f3 are all greater than zero, K is the temperature control interference risk coefficient, and the temperature control interference risk coefficient K is compared and analyzed with the preset temperature control interference risk coefficient threshold value stored in the heating supervision unit:

[0066] If the ratio between the temperature control interference risk factor K and the preset temperature control interference risk factor threshold is less than 1, no signal is generated;

[0067] If the ratio between the temperature control interference risk coefficient K and the preset temperature control interference risk coefficient threshold is greater than or equal to 1, an alarm signal is generated and sent to the management execution unit. After receiving the alarm signal, the management execution unit immediately displays the preset warning text corresponding to the alarm signal, so as to manage the barbecue heating component according to the information feedback to ensure the temperature control accuracy of the barbecue machine and the low-consumption and high-efficiency heating effect;

[0068] When the deviation signal is generated, the control processing unit responds to the deviation signal, collects the control data of the temperature control element, and performs a control risk assessment and analysis operation on the control data to determine whether the control of the temperature control element of the barbecue machine is effective and reliable. The specific control risk assessment and analysis operation process is as follows:

[0069] The control data of the temperature control element within the time threshold is obtained, and the control data includes a reading deviation value and an energy efficiency risk value. The reading deviation value and the energy efficiency risk value are compared and analyzed with the preset reading deviation value threshold and the preset energy efficiency risk value threshold recorded and stored in the control processing unit:

[0070] If the read deviation value is less than the preset read deviation value threshold, and the energy efficiency risk value is less than the preset energy efficiency risk value threshold, no signal is generated;

[0071] If the read deviation value is greater than or equal to the preset read deviation value threshold, or the energy efficiency risk value is greater than or equal to the preset energy efficiency risk value threshold, a feedback signal is generated and sent to the management execution unit. After receiving the feedback signal, the management execution unit immediately displays the preset warning text corresponding to the feedback signal, so as to manage the barbecue temperature control element according to the information feedback to ensure the effectiveness and stability of the barbecue temperature control;

[0072] In the embodiment of the present invention, the reading deviation value indicates the percentage of the number of times that the difference between the corresponding reading temperature value and the set control temperature during control is greater than the number of times corresponding to the preset threshold value in the total number of temperature control times of the temperature control element. It should be noted that the main function of the temperature control element is to monitor and adjust the temperature to ensure the safety and efficiency of the heating process. The larger the reading deviation value, the greater the risk that the temperature control element cannot correctly read or adjust the temperature, thereby affecting the normal operation of the barbecue machine;

[0073] In the embodiment of the present invention, the energy efficiency risk value indicates the duration corresponding to the energy consumption rate of the temperature control element exceeding the preset energy consumption rate threshold. It should be noted that the operating state of the temperature control element is analyzed from the perspective of the energy consumption rate, so as to understand the influence of the temperature control element on the temperature control of the barbecue machine;

[0074] In summary, the present invention analyzes the operation quality of the barbecue machine so as to rationally manage and adjust the barbecue machine according to the information feedback and reduce the impact on the temperature control accuracy of the barbecue machine, that is, the operation interference supervision evaluation analysis is performed on the state data of the barbecue machine to understand the operation quality level of the barbecue machine so as to provide data support for subsequent analysis, and the temperature data is fed back by information feedback to analyze the temperature difference floating risk feedback to determine whether the temperature data of the barbecue machine is normal, so as to reasonably manage the temperature according to the feedback information to ensure the working efficiency and temperature control accuracy of the barbecue machine, and The progressive method is to analyze from the two points of heating and temperature control to determine whether the risk of temperature data deviation of the barbecue machine is caused by abnormal heating or temperature control, that is, to perform temperature control safety supervision operations on the temperature processing data, and to analyze in combination with the operation quality index of the barbecue machine to improve the accuracy of the analysis results, so as to make timely management adjustments to reduce the risk of temperature control deviation of the barbecue machine, and to perform control risk assessment and analysis operations on the control data to determine whether the control of the temperature control element of the barbecue machine is effective, so as to manage the temperature control element of the barbecue machine according to the information feedback to ensure the effectiveness and stability of the temperature control of the barbecue machine.

[0075] 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.

[0076] 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 barbecue temperature data intelligent processing system, characterized in that: It includes temperature control platform, temperature control information unit, temperature management analysis unit, operation management evaluation unit, heating supervision unit, control processing unit and management execution unit; When the temperature control information unit receives the supervision instruction, it immediately collects the temperature data and status data of the barbecue machine, and sends the temperature data and status data to the temperature control analysis unit and the operation management evaluation unit respectively; After receiving the status data, the operation management evaluation unit immediately performs operation interference supervision evaluation analysis on the status data, performs discrimination processing on the obtained operation quality risk coefficient Z to obtain the operation quality index YZ, and further performs discrimination processing on the operation quality index YZ to obtain a normal signal and a risk signal, and sends the risk signal to the management execution unit; The temperature pipe analysis unit responds to the normal signal, performs temperature difference floating risk feedback analysis on the received temperature data, performs discrimination processing on the obtained floating deviation index, and obtains a deviation signal; The heating supervision unit is used to respond to the deviation signal, collect the temperature processing data of the barbecue machine, perform temperature control safety supervision operations on the temperature processing data, compare and analyze the obtained temperature control interference risk coefficient, obtain an alarm signal, and send the alarm signal to the management execution unit; The control processing unit responds to the deviation signal, collects control data of the temperature control element, performs control risk assessment and analysis operations on the control data, and sends the obtained feedback signal to the management execution unit; The operation interference supervision assessment and analysis process of the operation management assessment unit is as follows: The status data of the barbecue machine within the time threshold is obtained. The status data includes the operation interference index, parameter performance index and physical characteristic index. The operation interference index, parameter performance index and physical characteristic index are labeled as YG, CB and TW respectively. The operation interference index YG, parameter performance index CB and physical characteristic index TW are substituted into the formula to obtain the operation quality risk coefficient Z. The operation quality risk coefficient Z is compared and analyzed with the thresholds E1 and E2 stored in the operation management evaluation analysis. The threshold E1 is less than the threshold E2: If the operation quality risk factor Z is less than the threshold E1, it is judged as the first level state; If the threshold E1≤operation quality risk factor Z≤threshold E2, it is judged as the second level state; If the operation quality risk coefficient Z>threshold E2, it is determined to be a level 3 state, and the level 1 state, level 2 state and level 3 state are set as the operation quality index YZ, YZ=1, 2, 3, and the operation quality index YZ is discriminated: If the running quality index YZ=1 or the running quality index YZ=2, a normal signal is generated; If the operation quality index YZ=3, a risk signal is generated; The operation interference index represents the sum of the total number of parts replacements and the total number of failures in the history of the barbecue machine; the parameter performance index represents the product value obtained by multiplying the actual operating power of the barbecue machine and the average operating voltage after data normalization; the physical characteristic index represents the number of times that the value corresponding to the operating characteristic parameter of the barbecue machine exceeds the preset threshold and the corresponding time length is greater than the preset time length, and the operating characteristic parameters include vibration amplitude and abnormal sound value; The temperature difference floating risk feedback analysis process of the temperature pipe analysis unit is as follows: The barbecue machine operation time period is collected, and the barbecue machine operation time period is set as the time threshold, and the time threshold is divided into i sub-time periods, where i is a natural number greater than zero, and the temperature data of the barbecue machine in each sub-time period is obtained, and the temperature data represents the temperature difference floating value, and the temperature difference floating value represents the maximum difference between the actual barbecue temperature value of the barbecue machine and the set barbecue temperature value in the sub-time period; A rectangular coordinate system is established with the number of sub-time periods as the X-axis and the temperature data as the Y-axis, and a temperature data curve is drawn by plotting points. A preset temperature data curve is drawn in the rectangular coordinate system at the same time, so as to obtain the vertical distance between the maximum peak value in the temperature data curve and the preset temperature data curve, and the vertical distance between the maximum peak value in the temperature data curve and the preset temperature data curve is set as a floating deviation index; The determination process of the floating deviation index is as follows: Compare and analyze the floating deviation index with the preset floating deviation index threshold value recorded and stored in the temperature pipe analysis unit; If the ratio between the floating deviation index and the preset floating deviation index threshold is less than 1, no signal is generated; if the ratio between the floating deviation index and the preset floating deviation index threshold is greater than or equal to 1, a deviation signal is generated; The temperature control safety supervision operation process of the heating supervision unit is as follows: The temperature processing data of the barbecue machine in each sub-time period is obtained, the temperature processing data includes the total heating amount and the total energy consumption, and then the ratio between the total heating amount and the total energy consumption is obtained, and the ratio between the total heating amount and the total energy consumption is set as the heating efficiency coefficient; Compare and analyze the heating efficiency coefficient with the preset heating efficiency coefficient threshold value recorded and stored in the heating supervision unit; if the heating efficiency coefficient is greater than or equal to the preset heating efficiency coefficient threshold value, set the sub-time period corresponding to the heating efficiency coefficient being greater than or equal to the preset heating efficiency coefficient threshold value as the high-efficiency period; if the heating efficiency coefficient is less than the preset heating efficiency coefficient threshold value, set the sub-time period corresponding to the heating efficiency coefficient being less than the preset heating efficiency coefficient threshold value as the low-efficiency period; The ratio between the number corresponding to the inefficient time period and the number corresponding to the efficient time period is set as the heating deviation index JR, and the operation quality index YZ corresponding to the normal signal is obtained. The heating deviation index JR and the operation quality index YZ are substituted into the formula The temperature control interference risk coefficient is obtained, where f1 and f2 are the preset weight factor coefficients of the heating deviation index JR and the operation quality index YZ respectively, f3 is the preset fault tolerance factor coefficient, f1, f2 and f3 are all greater than zero, K is the temperature control interference risk coefficient, and the temperature control interference risk coefficient K is compared and analyzed with the preset temperature control interference risk coefficient threshold value stored in the heating supervision unit: If the ratio between the temperature control interference risk factor K and the preset temperature control interference risk factor threshold is less than 1, no signal is generated; If the ratio between the temperature control interference risk coefficient K and the preset temperature control interference risk coefficient threshold is greater than or equal to 1, an alarm signal is generated; The control risk assessment and analysis operation process of the control processing unit is as follows: Acquire control data of the temperature control element within the time threshold, the control data including a reading deviation value and an energy efficiency risk value, and compare and analyze the reading deviation value and the energy efficiency risk value with a preset reading deviation value threshold and a preset energy efficiency risk value threshold recorded and stored in the control processing unit; If the read deviation value is less than the preset read deviation value threshold, and the energy efficiency risk value is less than the preset energy efficiency risk value threshold, no signal is generated; If the read deviation value is greater than or equal to the preset read deviation value threshold, or the energy efficiency risk value is greater than or equal to the preset energy efficiency risk value threshold, a feedback signal is generated; The reading deviation value indicates the proportion of the number of times the difference between the corresponding read temperature value and the set control temperature during control is greater than the preset threshold value in the total number of temperature control times of the temperature control element; the energy efficiency risk value indicates the duration of time when the energy consumption rate of the temperature control element exceeds the preset energy consumption rate threshold value.

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