Mobile phone terminal remote temperature regulation and control system for duck roaster

Abstract

The invention discloses a duck roaster mobile phone terminal remote temperature regulation and control system, relates to the technical field of duck roaster temperature regulation, and is used for solving the problem of poor temperature control of a multi-energy duck roaster. Comprising a furnace related data processing module, an energy transmission analysis module, a path feedback module and a temperature control analysis module. According to the method, sensors are installed inside and outside the duck roaster, data are collected in real time and processed, the accuracy of the data is ensured, energy nodes and connection relations are defined based on the collected data, an energy flow network topological structure is constructed, and constraint conditions such as energy requirements and power limitation are set to optimize an energy transmission path. According to the method, the energy flow is dynamically adjusted, the path is fed back, the path state influence information is analyzed according to the energy transmission result, different signals are generated, and finally the temperature remote control strategy of the duck roaster is determined, so that the intelligent management of the duck roaster in the multi-energy mode is realized, and the temperature control accuracy is improved.

Description

Technical Field

[0001] The invention relates to the technical field of temperature regulation of a roast duck oven, and more specifically to a mobile phone-side remote temperature regulation control system for a roast duck oven. Background Art

[0002] A roast duck oven is a device used to roast duck food. It is commonly used in the catering industry and supports multiple energy forms, such as electricity, natural gas, and charcoal fire. The structure includes a heating area, a temperature control system, and an exhaust device. Temperature control is the core function of the roast duck oven. The temperature in the oven is monitored in real time through sensors, and the heating device is automatically adjusted to maintain a stable temperature.

[0003] Deficiencies in existing technologies: Roast duck ovens usually rely on a single energy source (such as electricity or natural gas) for roasting, and lack the ability to flexibly switch and optimize the management of multiple energy sources (such as electricity, natural gas, and charcoal fire), resulting in low energy utilization efficiency. In addition, the energy flow management of traditional roast duck ovens lacks intelligent scheduling and cannot dynamically adjust the energy supply according to real-time demand. It is easy to have energy waste or inaccurate temperature control during energy switching or coordinated use. Especially in multi-energy scenarios, the energy transmission path is not optimized enough, which affects the stability of the system and the uniformity of temperature, affects the roasting effect, and causes the roast duck to have too many products during the roasting process, affecting sales. Summary of the invention

[0004] In order to overcome the above defects of the prior art, there is a solution as follows to solve the problem that the temperature control of the multi-energy roast duck oven proposed in the above background technology is poor, which affects the roasting efficiency.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] The mobile phone remote temperature control system of the roast duck oven includes an oven-related data processing module, an energy transmission analysis module, a path feedback module, and a temperature control analysis module, and each module is connected by signals;

[0007] The oven-related data processing module is used to install sensors inside and outside the roast duck oven and collect data in real time, and to perform data cleaning, smoothing, calibration and time synchronization on the collected sensor data;

[0008] Energy transmission analysis module, which defines energy nodes and connection relationships based on sensor data, builds energy flow network topology, sets energy demand and power limit constraints according to the topology, and optimizes energy transmission paths;

[0009] The path feedback module is used to set the trigger conditions, dynamically adjust the energy flow and provide path feedback according to the optimized path, determine the feedback status according to the energy transmission results, and obtain the state impact information generated during the energy transmission process on the roast duck oven path;

[0010] The temperature control analysis module is used to analyze the state impact information generated during the energy transmission process on the path and generate different signals, and determine the remote control strategy of the roast duck oven temperature according to the generated different signals.

[0011] In a preferred embodiment, sensors are installed inside and outside the roast duck oven to collect data in real time, and the collected sensor data is cleaned, smoothed, calibrated and time synchronized. The specific steps are as follows:

[0012] Gas sensors are installed inside and outside the roast duck oven to monitor the combustion status of natural gas and charcoal fire and the air quality. Pressure sensors are installed to monitor the changes in air pressure inside the oven. Power sensors are installed on the power control units of the electric heating device and the natural gas valve.

[0013] The data collected by each sensor is transmitted via wireless communication;

[0014] Anomalies are removed by an anomaly detection algorithm based on median filtering. Exponential smoothing and Kalman filtering are used to smooth the collected time series data. An adaptive calibration algorithm based on historical data is used to calibrate the data. The network time protocol is used for data time synchronization.

[0015] In a preferred embodiment, energy nodes and connection relationships are defined based on sensor data, and the specific steps include:

[0016] Define the energy nodes in the roast duck oven system, which include charcoal fire, electric heater, and natural gas burner;

[0017] Define the energy demand nodes in the roast duck oven system, which include the heating area, temperature control system, and exhaust device inside the roast duck oven;

[0018] Between the energy source node and the energy demand node, define the transmission control node, including gas valve, power switch, and temperature regulator;

[0019] According to the actual structure of the roast duck oven system, the connection relationship between each node is determined and used as the connection path. The transmission capacity is defined for each connection path and recorded as a matrix element to construct the transmission capacity matrix.

[0020] In a preferred embodiment, an energy flow network topology is constructed, energy demand and power limit constraints are set according to the topology, and the energy transmission path is optimized. The specific steps are as follows:

[0021] Perform data cleaning to remove or correct missing, erroneous or abnormal data records;

[0022] The preliminary topological structure of the energy flow network is constructed based on the node connection relationship and the transmission capacity matrix. The preliminary topological structure is represented by a directed graph. The edges in the graph represent the energy transmission paths between nodes, and the weights of the edges represent the transmission capacity.

[0023] In the preliminary topology, the initial energy flow weight of each path is calculated, and the initial energy flow is used to determine the energy transmission priority of the path in the initial state;

[0024] Set constraints and conduct path feasibility analysis, and set the required energy demand at each energy demand node;

[0025] The calculated energy demand of each node will be used as the input for subsequent path optimization to distribute the energy flow among the nodes;

[0026] Set output power limits for each transmission control node and set maximum transmission capacity for each energy transmission path. The transmission capacity is determined by the physical characteristics of the path, including pipe diameter, wire thickness, and transmission distance.

[0027] After setting various constraints, a path feasibility analysis is performed to verify the path capacity, demand nodes, and transmission control nodes, and the verified path will be used as the final optimization result path.

[0028] In a preferred embodiment, the trigger condition is set to dynamically adjust the energy flow and provide path feedback according to the optimized path, including the following steps:

[0029] Trigger conditions are set to include temperature deviation, sudden energy demand change, and path transmission anomaly;

[0030] After the triggering condition, the energy flow is dynamically adjusted according to the hierarchical scheduling strategy, including global layer adjustment, intermediate layer adjustment and local layer adjustment;

[0031] After the energy flow is dynamically adjusted, the real-time path feedback mechanism is started to determine whether to perform remote temperature adjustment control on the mobile phone based on the energy transmission results.

[0032] In a preferred embodiment, determining the feedback status according to the energy transmission result and obtaining the state influence information generated during the energy transmission process on the roast duck oven path includes the following steps:

[0033] The state impact information includes power transmission information and path stability information. The power transmission information includes a path power transmission deviation ratio, and the path stability information includes an energy flow path stability index.

[0034] The path power transmission deviation ratio in the power transmission information and the energy flow path stability index in the path stability information are combined to generate a temperature control coefficient;

[0035] The path power transmission deviation ratio is directly proportional to the temperature control coefficient, and the energy flow path stability index is inversely proportional to the temperature control coefficient.

[0036] In a preferred embodiment, the state influence information generated during the energy transmission on the path is analyzed and different signals are generated, and the roast duck oven temperature remote control strategy is determined according to the generated different signals. The specific steps are as follows:

[0037] Compare the temperature regulation coefficient with the temperature control threshold;

[0038] If the temperature control coefficient is less than the temperature control threshold, a temperature stabilization signal is generated and the device continues to be used without performing additional temperature control operations;

[0039] If the temperature control coefficient is greater than or equal to the temperature control threshold, remote control information is generated and the mobile phone is used to intervene in temperature control.

[0040] The technical effects and advantages of the mobile phone remote temperature adjustment control system of the roast duck oven of the present invention are as follows:

[0041] The present invention collects temperature, gas concentration, pressure, power and other data in real time by installing multiple sensors inside and outside the roast duck oven, and transmits them to the control system through a wireless communication module. During the data transmission process, the sensor data is cleaned, smoothed, calibrated and time synchronized to ensure the accuracy and consistency of the data. Based on the collected multi-dimensional data, the system can accurately define the energy nodes inside and outside the roast duck oven and their connection relationships, and then construct the topological structure of the energy flow network; on this basis, the system sets constraints such as energy demand and power limit, and optimizes the energy transmission path, so as to ensure that the roast duck oven can achieve efficient energy distribution and utilization in a multi-energy mode, and improve the stability and uniformity of the roasting process.

[0042] By setting the dynamic adjustment trigger conditions of the energy flow path, real-time energy flow adjustment and feedback control are performed based on the optimized path; by monitoring the state influencing information generated during the energy transmission process, such as power transmission deviation, path stability, etc., the system can timely analyze and generate different control signals; based on these signals, the system can intelligently judge the temperature control state of the roast duck oven, and then determine whether it is necessary to implement a remote temperature control strategy, that is, through intelligent path optimization and dynamic adjustment, the temperature control accuracy of the roast duck oven under different energy modes is ensured, remote control and real-time adjustment functions are realized, and the quality and efficiency of the baking process are effectively improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a structural schematic diagram of a mobile phone-side remote temperature adjustment control system for a roast duck oven of the present invention. DETAILED DESCRIPTION

[0044] 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.

[0045] In order to achieve the above objectives, Figure 1 The structural schematic diagram of the mobile phone remote temperature adjustment control system of the roast duck oven of the present invention is given, which specifically includes an oven-related data processing module, an energy transmission analysis module, a path feedback module and a temperature control analysis module, and each module is connected by a signal;

[0046] The oven-related data processing module is used to install sensors inside and outside the roast duck oven and collect data in real time, and to perform data cleaning, smoothing, calibration and time synchronization on the collected sensor data;

[0047] Energy transmission analysis module, which defines energy nodes and connection relationships based on sensor data, builds energy flow network topology, sets energy demand and power limit constraints according to the topology, and optimizes energy transmission paths;

[0048] The path feedback module is used to set the trigger conditions, dynamically adjust the energy flow and provide path feedback according to the optimized path, determine the feedback status according to the energy transmission results, and obtain the state impact information generated during the energy transmission process on the roast duck oven path;

[0049] The temperature control analysis module is used to analyze the state impact information generated during the energy transmission process on the path and generate different signals, and determine the remote control strategy of the roast duck oven temperature according to the generated different signals.

[0050] Sensor configuration and data collection are performed, that is, temperature sensors are installed at multiple locations of the roast duck oven (such as different heights in the oven, air inlet, and exhaust port). The installed temperature sensors are used to monitor the temperature distribution inside and outside the roast duck oven in real time. The data is collected at a high frequency and transmitted to the control system through the wireless communication module;

[0051] Gas sensors are installed on the furnace body and the surrounding environment, mainly used to monitor the combustion status of natural gas and charcoal fire and air quality. The gas concentration data collected by the gas sensors is used to judge the combustion efficiency and safety;

[0052] The pressure sensor is used to monitor the changes in gas pressure inside the furnace, especially during the natural gas combustion process, the gas pressure data can reflect the combustion status and energy transmission;

[0053] The power sensor is installed on the power control unit of the electric heating device and the natural gas valve to collect power output data in real time and provide a reference for subsequent energy scheduling;

[0054] The configuration of sensors ensures that the system can comprehensively collect various key data during the operation of the roast duck oven. The multi-point data provided by the temperature sensor helps the system accurately understand the temperature distribution in the oven. The gas and pressure sensors ensure the safety and efficiency of combustion. The power sensor provides basic data support for energy management.

[0055] The data collected by each sensor is transmitted to the mobile control application and control system in real time through a wireless communication module (such as Wi-Fi or Bluetooth) to ensure that there is no delay or packet loss in data transmission. During the data transmission process, appropriate encoding and compression algorithms, such as differential compression or Huffman encoding, are applied to reduce the amount of transmitted data and improve transmission efficiency. At the same time, encryption technology (such as AES encryption) is used during the transmission process to improve data security.

[0056] After receiving the sensor data, the data is first cleaned to filter out noise data and abnormal data points. For temperature data, an abnormal detection algorithm based on median filtering is applied to eliminate abnormal values ​​of temperature mutations. The collected time series data is smoothed. Common methods include exponential smoothing and Kalman filtering to reduce the impact of short-term fluctuations on the system. Since sensors may have drift or errors, the collected data is calibrated. An adaptive calibration algorithm based on historical data is used to compare sensor data with reference standard values ​​to adjust the measurement accuracy of the sensor.

[0057] The data of various sensors need to be synchronized to ensure that the data at the same time point can accurately reflect the status of the system. The Network Time Protocol (NTP) is used for data synchronization to ensure that the data of multiple sensors are consistent on the time axis;

[0058] The Network Time Protocol (NTP) aligns the clock of the local device with the standard time by communicating with a time server (usually a standard time source). The workflow of the NTP protocol includes four timestamps: request sending time, request receiving time, response sending time, and response receiving time. The deviation of the local time relative to the standard time is calculated through the timestamps and corrected. For example, suppose the timestamp of the request packet sent by the client is , the timestamp of the request packet received by the server is , the timestamp of the response packet sent by the server is , the timestamp of the response packet received by the client According to the NTP protocol, the formula for calculating the time offset and round trip delay is as follows:

[0059] Time offset formula (deviation calculation): , round trip delay formula (delay calculation): , where TO represents the difference between the client clock and the server standard clock, and RD represents the time required for the request packet to go back and forth in the network;

[0060] After obtaining the time offset TO, the client adjusts the local time to be consistent with the standard time. The adjustment process is divided into time adjustment and frequency adjustment. The time adjustment formula is: ,in, is the current time of the local clock, is the corrected time;

[0061] After completing the local time correction, the system updates the timestamps of all sensor data to align them with the corrected time. Each time the sensor collects data, the data is updated with the timestamp. During operation, the system regularly recalibrates the time through the NTP protocol to ensure the long-term effectiveness of time synchronization. According to the synchronization interval setting in the NTP protocol, the system dynamically adjusts the synchronization frequency according to the network status and sensor accuracy. The calculation expression based on delay and deviation is: ,in,: The frequency of time synchronization.

[0062] Extract key features from the preprocessed data as input for subsequent energy management and scheduling. For example, extract the maximum value, minimum value, temperature gradient and other features from the temperature data, extract the average power, instantaneous power fluctuation and other features from the power data, perform data compression, and use wavelet transform or principal component analysis (PCA) to compress the feature data, retain the main information while reducing the data dimension and redundancy;

[0063] Through the above data collection and preprocessing steps, the roast duck oven mobile terminal remote temperature control system can obtain data and analyze it;

[0064] According to the acquired data, the nodes of the energy flow network are defined and preliminarily modeled, and the energy flow network topology is constructed. The functional modules in the roast duck oven are mapped to nodes in the energy flow network. The energy nodes and connection relationships are defined based on the sensor data. The energy demand and power limit constraints are set according to the topology structure, and the energy transmission path is optimized. The specific steps are as follows:

[0065] Define the node type and function, and define the energy nodes in the roast duck oven system, including charcoal fire, electric heater, natural gas burner, etc. Each energy node is responsible for providing energy to the system and is the starting point of the energy flow. It is recorded as the node set S={ , ..., }, n is a positive integer, where each node represents i type of energy;

[0066] Define the energy demand nodes in the system, including the heating area, temperature control system, exhaust device, etc. inside the roast duck oven. The energy demand nodes receive the energy transmitted by the energy source nodes and use it, which is recorded as the node set ={ , ..., }, m is a positive integer;

[0067] Transmission control nodes are defined between energy source nodes and energy demand nodes. These nodes are responsible for regulating the energy transmission path and power output, including gas valves, power switches, temperature regulators, etc., and are denoted as node set C = { , ..., }, is a positive integer;

[0068] Energy source nodes are energy providers, energy demand nodes are energy users, and transmission control nodes are responsible for the distribution and regulation of energy in the network;

[0069] According to the actual structure of the roast duck oven system, the connection relationship between each node is determined and used as the connection path, for example, the charcoal fire node Possibly through the transport control node Connect to heating zone node ,The connection relationship forms the path, which constitutes the skeleton of the energy flow network;

[0070] The transmission capacity of each connection path is defined as the matrix element G{ij}, which represents the energy transmission capacity from node i to node j. During initialization, the transmission capacity is set according to the physical characteristics of the path. For example, the transmission path G{ij} from the natural gas burner to the heating zone is The transmission capacity of the gas generator can be estimated based on the opening of the gas valve and the combustion efficiency. The initial transmission capacity is defined as: ,in, is the physical transmission coefficient of path i to j, indicating the maximum energy transmission capacity of the path, is the connection strength coefficient between nodes, indicating the connectivity of the path, is the maximum power output of node i. The connection relationship between nodes defines the energy transmission process in the network. The transmission capacity initialization is set by considering the physical characteristics and connection strength of each path. The physical transmission coefficient of the path and the connection strength coefficient It indicates the energy transmission capacity between nodes, and the maximum power output The upper limit of transmission is provided. The initialized transmission capacity matrix G will be used as the basic input data for energy flow path optimization in subsequent steps to determine the distribution and transmission of energy between nodes.

[0071] Construct the preliminary topology of the energy flow network. The specific steps are as follows:

[0072] Based on the node connection relationship and the transmission capacity matrix G, the preliminary topological structure of the energy flow network is constructed. The preliminary topological structure can be represented by a directed graph, where the edges represent the energy transmission paths between nodes, and the weights of the edges represent the transmission capacity. ;

[0073] In the preliminary topology, the initial energy flow weight of each path from i to j is calculated. The weight represents the energy transmission priority of the path in the initial state. The initial weight is defined as: ,in, is the path loss coefficient, is the path transmission efficiency attenuation coefficient, is the path length or other factors that affect transmission efficiency;

[0074] The actual loss and attenuation in energy transmission are determined by the path loss coefficient and the transmission efficiency attenuation coefficient. The preliminary topology structure and energy flow weight will be passed to the next step of the path optimization process. The optimized topology structure will be used to guide the actual distribution and transmission of energy flow.

[0075] After completing the node definition and preliminary topology modeling of the energy flow network, multi-constraint optimization of the energy flow path is performed, that is, under multiple constraints, the energy transmission path is selected and adjusted to ensure maximum energy efficiency and improve the stability of temperature control. The following are the specific processing steps:

[0076] Based on the preliminary topological structure modeling of the energy flow network, the constraints are set and the path feasibility analysis is performed. For each energy demand node Dk (such as different heating zones inside the roast duck oven), the required energy demand is set. This demand is directly related to the temperature requirement of the roast duck oven. Assuming the target temperature is , and the current temperature is , then the energy required It can be calculated by the energy balance equation: ,in, is the mass or heat capacity of node Dk, is the specific heat capacity, The energy conversion efficiency of the node; the energy demand constraint is set to ensure that each energy demand node obtains enough energy to maintain the target temperature of the roast duck oven. Through the analysis of the heat balance equation, factors such as mass, specific heat capacity and conversion efficiency are considered to ensure that the energy supply can meet the temperature regulation requirements, thereby combining the real-time temperature feedback mechanism to dynamically adjust the energy demand, avoiding the waste or shortage of resources caused by the traditional static demand setting. This dynamic demand adjustment mechanism can effectively improve the energy efficiency of the roast duck oven;

[0077] The calculated energy demand of each node will be used as the input of subsequent path optimization to guide the allocation of energy flow among various nodes;

[0078] For each transmission control node (such as gas valve, power switch, etc.), set its output power limit. Assume that the maximum power output of node Cn is , then at any time point, its output power cannot exceed this limit, and the power limit constraint expression is: ;

[0079] In addition, when the roast duck oven load fluctuates greatly (voltage and current are unstable), the power output may need to be adjusted dynamically. To this end, a dynamic power adjustment coefficient is defined. , used to regulate output power at high loads: ,in is the basic power output, is the adjustment coefficient, ranging from [0, 1];

[0080] The power limit constraint ensures that the output power of the transmission control node does not exceed the physical limit of the device. By introducing a dynamic power adjustment coefficient, the power output can be flexibly adjusted when the system load fluctuates, ensuring the stable operation of the roast duck oven system;

[0081] For each energy transmission path (the path from node i to node j), set its maximum transmission capacity. The transmission capacity is determined by the physical characteristics of the path, including pipeline diameter, wire thickness, transmission distance, etc. In high load or emergency situations, an emergency adjustment mechanism for transmission capacity can be defined to allow overload operation for a short period of time, but an overload penalty factor needs to be introduced;

[0082] For example, the energy used by the roast duck oven can be charcoal, electricity or natural gas. The supply systems of different energy sources have their own physical limitations, which can be modeled by transmission capacity constraints. For example, the maximum power output of the electric heater and the maximum flow of the natural gas pipeline can be defined as transmission capacity. This constraint ensures that when the roast duck oven adjusts the temperature, it will not exceed the carrying capacity of the energy supply system.

[0083] After setting all constraints, the path feasibility analysis is performed. The feasibility analysis aims to ensure that the selected path can effectively transmit the required energy while meeting all constraints. The analysis verification is as follows:

[0084] Path capacity verification is to check whether the actual power transmission of each path is within its capacity limit; demand node verification is to confirm whether the input energy of each demand node meets its demand; transmission control node verification is to ensure that the power output of each transmission control node does not exceed its limit;

[0085] After completing the path feasibility analysis, the qualified path will be used as the final optimization result path and passed to the execution layer for actual energy transmission and control;

[0086] In a duck roasting oven, energy flows not only through traditional lines or pipes, but also through heat conduction and heat convection. Although this energy transfer method is different from electricity or gas transmission, it is still limited by the physical characteristics of energy transmission.

[0087] The effectiveness of temperature regulation depends on the efficiency of energy transfer from the heat source to the roast duck surface. For example, when the material or structure in the temperature transfer path limits the heat transfer rate, this limitation can be equivalent to the limitation of the transfer capacity. If the thermal conductivity of the material in the temperature transfer path is low, other methods (such as adjusting air circulation or adding auxiliary heating devices) may need to be considered to achieve temperature regulation;

[0088] When using charcoal or natural gas, air flow (i.e. heat convection) affects the efficiency of energy transfer. The air flow rate is limited by the spatial structure inside the furnace and the opening of the damper. These physical factors can also be regarded as constraints on transmission capacity.

[0089] The transmission capacity constraint directly affects the temperature control effect of the roast duck oven. If the physical constraints are not considered, the following problems may occur:

[0090] If the electric heater or natural gas burner exceeds its maximum power output limit, the system may have difficulty maintaining the required temperature stably, resulting in inconsistent quality of the roast duck;

[0091] When transmission capacity is limited, the temperature regulation system may respond more slowly. For example, when the temperature needs to be raised quickly, an electric heater or gas valve may not be able to deliver enough energy quickly, causing the system to lag behind in regulation.

[0092] When selecting energy flow paths, transmission capacity limitations will exclude those paths that cannot meet power requirements or may cause system overload. For example, when selecting an electric heating path, if the power carrying capacity of this path is insufficient, other paths (such as natural gas heating or auxiliary heating) will be automatically selected to avoid overload.

[0093] In the mobile phone remote temperature control system of the roast duck oven, the dynamic adjustment and path feedback steps of the energy flow are achieved by real-time monitoring and adjustment of the energy transmission path to ensure that the roast duck oven system can maintain the accuracy and stability of temperature control in a complex and dynamic environment for temperature control.

[0094] The trigger conditions for dynamic adjustment are set based on the real-time monitoring of the roast duck oven parameter changes. When one of the following conditions is triggered, the dynamic adjustment of the energy flow will be started:

[0095] Temperature deviation: When the actual temperature of a demand node in the roast duck oven deviates from the set temperature and exceeds the threshold, the adjustment is initiated;

[0096] Sudden change in energy demand: When the system detects that the load change rate of the energy demand node exceeds the set value, it starts adjustment;

[0097] Path transmission abnormality: When the deviation between the actual power transmission on the transmission path and the expected transmission exceeds the threshold, the adjustment is initiated;

[0098] The setting of dynamic adjustment trigger conditions ensures that the system can respond to various abnormal situations that occur during the operation of the roast duck oven in real time. For example, when the temperature control deviates, the energy flow can be adjusted quickly to ensure the roasting quality of the roast duck. The sudden change in energy demand may be caused by a sudden increase in the baking load, while the abnormality of the transmission path may be caused by equipment failure or external interference.

[0099] After the dynamic adjustment is triggered, the energy flow is first adjusted dynamically according to the hierarchical scheduling strategy, which includes the following three levels:

[0100] Global adjustment: At the global level, re-evaluate the supply capacity of each energy source (such as electricity, natural gas, coal fire), and reallocate the total power output of each energy source based on real-time data;

[0101] Middle layer adjustment: At the middle level, adjust the power distribution of each transmission path to ensure smooth transmission of energy from the energy source to the demand node, and optimize the path transmission power to meet the dynamic changes of the demand node:

[0102] Local layer adjustment: At the local level, fine-tune the energy received by the demand node to ensure that the temperature of each node can be stabilized at the set value;

[0103] The hierarchical dynamic adjustment strategy ensures the flexibility and adaptability of the system at different levels. The global layer focuses on the overall output of energy, the middle layer optimizes the transmission path, and the local layer is refined to the power allocation of each demand node. Through this multi-level adjustment, the system can quickly respond to various dynamic changes and ensure accurate control of the temperature in the roast duck oven without affecting the overall stability.

[0104] After the energy flow is dynamically adjusted, the real-time path feedback mechanism is started. The actual situation of energy transmission on the path is continuously tracked through sensors and data monitoring. The feedback situation is determined based on the energy transmission results, and whether to perform remote temperature adjustment control on the mobile phone is determined. The specific steps are as follows:

[0105] The path feedback module is used to monitor and analyze the stability of energy transmission on the roast duck oven path, and obtain the state impact information generated during the use of the roast duck oven, which includes power transmission information and path stability information;

[0106] The power transfer information includes the path power transfer deviation ratio and is calibrated as PTDR, and the path stability information includes the energy flow path stability index and is calibrated as EFPSI;

[0107] The path power transmission deviation ratio in the power transmission information is an indicator used to measure the relative deviation between the actual transmission power and the expected transmission power on the energy flow path; it indicates the accuracy of energy transmission on the path and reflects the degree of difference between the actual power transmission and the expected power. On a given energy transmission path, the difference between the actual transmitted power and the power expected to be transmitted by the system, the larger the value, the greater the degree of deviation of the actual transmission power from the expected transmission power, and the worse the transmission effect of the path;

[0108] In the mobile phone remote temperature control system of the roast duck oven, the path power transmission deviation ratio can be used to monitor the status of each energy transmission path in real time. By calculating the path power transmission deviation ratio, the system can promptly identify which paths have abnormalities during the transmission process. For example, if the path power transmission deviation ratio of a certain path suddenly increases, it means that the actual transmitted power has deviated significantly from the expected power, which may cause problems with the temperature control in the roast duck oven. At this time, the system can determine whether remote temperature control or path optimization is required based on the path power transmission deviation ratio;

[0109] The path power transfer deviation ratio is obtained by: obtaining the expected power transfer value set on the energy flow path The actual power transmission value obtained by sensor monitoring , calculate the deviation between the actual power transfer value and the expected power transfer value: - , after calculating the power transfer deviation, calculate the path power transfer deviation ratio, the formula is: .

[0110] It should be noted that the expected power transmission value is based on the scheduling strategy or control target of the roast duck oven system. In actual operation, the actual power transmission value obtained by sensor monitoring may deviate from the expected value.

[0111] The energy flow path stability index in the path stability information is a comprehensive indicator used to measure the stability of power transmission on the energy transmission path, indicating the severity and frequency of power fluctuations on the path within a certain time range. The higher the energy flow path stability index, the more unstable the power transmission on the path is, and the more fluctuations it has; while the lower the energy flow path stability index, the more stable the power transmission on the path is, and the less fluctuations it has:

[0112] The energy flow path stability index can be used as a key indicator for selecting the optimal energy transmission path. During the dynamic adjustment of the energy flow path, the system can prioritize paths with lower stability indexes for energy transmission based on the size of the energy flow path stability index, thereby reducing the impact of fluctuations on temperature control. By monitoring the energy flow path stability index, the system can promptly detect unstable paths, conduct early warnings and adjustments, and avoid system imbalance or failures caused by unstable energy transmission, thereby improving the robustness and reliability of the system.

[0113] The energy flow path stability index is obtained as follows:

[0114] Obtain each energy flow path and calculate the power fluctuation rate on each energy flow path. The formula for the power fluctuation rate is: , where represents the transmission power from node i to node j at time t. The second-order derivative of the power fluctuation is calculated to determine the change in the power change rate. The calculation formula is: ;

[0115] Based on the calculation of power fluctuation and second-order derivative, the energy flow path stability index of the energy flow path is calculated within the analysis time window T. The calculation expression is: .

[0116] It should be noted that the power fluctuation rate reflects the instantaneous change of power on the energy transmission path. A large power fluctuation rate may indicate that the transmission on the path is unstable and requires further analysis and adjustment. The value of the time window T is set according to actual needs.

[0117] The power transmission information and path stability information are combined to generate the temperature control coefficient, that is, the path power transmission deviation ratio PTDR and the energy flow path stability index EFPSI are obtained to jointly generate the temperature control coefficient. The temperature control coefficient is expressed as: , where is the temperature control coefficient, , is the preset proportionality coefficient of the path power transfer deviation ratio PTDR and the energy flow path stability index EFPSI, and , Both are greater than 0.

[0118] The specific method of jointly generating the temperature control coefficient may involve a variety of algorithms and models, depending on the actual situation and application requirements. In this embodiment, a weighted summation method can be used to combine the path power transmission deviation ratio and the energy flow path stability index to generate a comprehensive temperature control coefficient. This temperature control coefficient can be used as an input parameter for the central control analysis.

[0119] It should be noted that the size of the preset proportional coefficient is to quantify each parameter to obtain a specific numerical value. In order to facilitate subsequent comparison, the size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding preset proportional coefficient for each set of sample data by technical personnel in this field. It is not unique, as long as it does not affect the proportional relationship between the parameter and the quantized numerical value. For example, the path power transmission deviation ratio is proportional to the temperature control coefficient. The path power transmission deviation ratio and the energy flow path stability index are normalized to have the same dimension and range. This can be achieved by subtracting the mean from the original data and dividing it by the standard deviation, or mapping the data to the range of [0, 1].

[0120] The larger the path power transmission deviation ratio and the smaller the energy flow path stability index, the larger the temperature control coefficient generated by the joint operation, which means that the uncertainty of path transmission increases, which usually affects the temperature control stability of the system. The power transmission of the path is unstable, and the risk of temperature control deviation increases. At this time, the system's demand for temperature regulation increases, indicating that the existing energy transmission path cannot effectively support the current temperature target, and mobile phone remote control intervention may be required;

[0121] The smaller the path power transmission deviation ratio and the larger the energy flow path stability index, the smaller the temperature control coefficient generated by the joint operation, indicating that the current energy transmission path is running relatively stably, the temperature control effect is good, and the stability and accuracy of temperature control can be maintained by itself. The remote control on the mobile phone generally does not need to intervene, and the roast duck oven has maintained the temperature within the ideal range through the adaptive mechanism;

[0122] Compare the generated temperature control coefficient with the preset temperature control threshold to generate remote control information and temperature stabilization signal;

[0123] After obtaining the temperature control coefficient, compare the temperature control coefficient with the temperature control threshold;

[0124] If the temperature control coefficient is greater than or equal to the temperature control threshold, remote control information is generated, which indicates that the temperature control is unbalanced, the energy transmission of the current path is not stable enough or the deviation is too large, resulting in an increased risk of temperature deviation from the target value. The system adaptive adjustment may not be able to effectively correct this deviation, and stronger control intervention is required to restore stability. That is, the generation of remote control information indicates that the system has detected a problem and needs to be solved through remote intervention. The use of mobile phones or other remote control terminals requires intervention to adjust key parameters such as temperature settings and energy distribution to ensure that the roast duck oven system returns to normal operation;

[0125] It is necessary to intervene through the mobile phone or remote control terminal to start the remote control mechanism. The following measures can be used for intervention, such as adjusting the temperature set point of the roast duck oven appropriately according to the actual situation, reducing the control pressure of the system, making the temperature regulation more stable, and adjusting the power output ratio of different energy sources (such as electricity, natural gas, and charcoal fire) on the mobile phone, optimizing the energy distribution strategy, and reducing the instability of energy transmission. The energy flow path can also be changed through the remote control system, and a more stable path can be selected for energy transmission to avoid temperature fluctuations caused by transmission deviations.

[0126] If the temperature control coefficient is less than the temperature control threshold, a temperature stability signal is generated, which indicates that the current temperature control has reached a stable state. The temperature stability signal can be used to notify the user or operator that the system is in normal operation without further operation. The temperature stability signal can be displayed through a mobile phone or other user interface to confirm the stability of the roast duck oven system.

[0127] When the temperature control coefficient is less than the temperature control threshold, the temperature stability signal is generated, indicating that the system's temperature control and energy transmission are in a stable state, and no additional remote control intervention is required. At this point, the system is running well and the temperature regulation has reached the target value. What needs to be done is mainly to generate a stable signal to notify the user or operator, continue to monitor the system status, and perform preventive maintenance and record the system's stable state to ensure the stability and reliability of the system's long-term operation.

[0128] It should be noted that the threshold information in this embodiment is pre-set by professionals and will not be explained in detail here. Some parameter English letters in the embodiments have the same situation, but different meanings are explained when used, which will not be explained one by one here.

[0129] The present invention installs a variety of sensors inside and outside the roast duck oven to collect data such as temperature, gas concentration, pressure, power, etc. in real time, and transmits the data to the control system through a wireless communication module. During the data transmission process, the sensor data is cleaned, smoothed, calibrated and time-synchronized to ensure the accuracy and consistency of the data. Based on the collected multi-dimensional data, the system can accurately define the energy nodes inside and outside the roast duck oven and their connection relationships, and then construct the topological structure of the energy flow network; on this basis, the system sets constraints such as energy demand and power limit, and optimizes the energy transmission path, so as to ensure that the roast duck oven achieves efficient energy distribution and utilization in a multi-energy mode, and improves the stability and uniformity of the roasting process.

[0130] By setting the dynamic adjustment trigger conditions of the energy flow path, real-time energy flow adjustment and feedback control are performed based on the optimized path; by monitoring the state influencing information generated during the energy transmission process, such as power transmission deviation, path stability, etc., the system can timely analyze and generate different control signals; based on these signals, the system can intelligently judge the temperature control state of the roast duck oven, and then determine whether it is necessary to implement a remote temperature control strategy, that is, through intelligent path optimization and dynamic adjustment, the temperature control accuracy of the roast duck oven under different energy modes is ensured, remote control and real-time adjustment functions are realized, and the quality and efficiency of the baking process are effectively improved.

[0131] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0132] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0133] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0134] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0135] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0136] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. The mobile phone remote temperature control system for roast duck oven is characterized by: It includes a furnace-related data processing module, an energy transmission analysis module, a path feedback module, and a temperature control analysis module, and each module is connected through signals; The oven-related data processing module is used to install sensors inside and outside the roast duck oven and collect data in real time, and to perform data cleaning, smoothing, calibration and time synchronization on the collected sensor data; Energy transmission analysis module, which defines energy nodes and connection relationships based on sensor data, builds energy flow network topology, sets energy demand and power limit constraints according to the topology, and optimizes energy transmission paths; The path feedback module is used to set the trigger conditions, dynamically adjust the energy flow and provide path feedback according to the optimized path, determine the feedback status according to the energy transmission results, and obtain the state impact information generated during the energy transmission process on the roast duck oven path; The temperature control analysis module is used to analyze the state impact information generated during the energy transmission process on the path and generate different signals, and determine the remote control strategy of the roast duck oven temperature according to the generated different signals.

2. The roast duck oven mobile phone terminal remote temperature adjustment control system according to claim 1 is characterized in that: It is used to install sensors inside and outside the roast duck oven and collect data in real time, and to clean, smooth, calibrate and synchronize the collected sensor data. The specific steps are as follows: Gas sensors are installed inside and outside the roast duck oven to monitor the combustion status of natural gas and charcoal fire and the air quality. Pressure sensors are installed to monitor the changes in air pressure inside the oven. Power sensors are installed on the power control units of the electric heating device and the natural gas valve. The data collected by each sensor is transmitted via wireless communication; Anomalies are removed by an anomaly detection algorithm based on median filtering. Exponential smoothing and Kalman filtering are used to smooth the collected time series data. An adaptive calibration algorithm based on historical data is used to calibrate the data. The network time protocol is used for data time synchronization.

3. The roast duck oven mobile phone terminal remote temperature adjustment control system according to claim 2 is characterized in that: Define energy nodes and connection relationships based on sensor data. The specific steps include: Define the energy nodes in the roast duck oven system, which include charcoal fire, electric heater, and natural gas burner; Define the energy demand nodes in the roast duck oven system, which include the heating area, temperature control system, and exhaust device inside the roast duck oven; Between the energy source node and the energy demand node, define the transmission control node, including gas valve, power switch, and temperature regulator; According to the actual structure of the roast duck oven system, the connection relationship between each node is determined and used as the connection path. The transmission capacity is defined for each connection path and recorded as a matrix element to construct the transmission capacity matrix.

4. The roast duck oven mobile phone terminal remote temperature adjustment control system according to claim 3 is characterized in that: And build the energy flow network topology, set the energy demand and power limit constraints according to the topology, and optimize the energy transmission path. The specific steps are as follows: Perform data cleaning to remove or correct missing, erroneous or abnormal data records; The preliminary topological structure of the energy flow network is constructed based on the node connection relationship and the transmission capacity matrix. The preliminary topological structure is represented by a directed graph. The edges in the graph represent the energy transmission paths between nodes, and the weights of the edges represent the transmission capacity. In the preliminary topology, the initial energy flow weight of each path is calculated, and the initial energy flow is used to determine the energy transmission priority of the path in the initial state; Set constraints and conduct path feasibility analysis, and set the required energy demand at each energy demand node; The calculated energy demand of each node will be used as the input for subsequent path optimization to distribute the energy flow among the nodes; Set output power limits for each transmission control node and set maximum transmission capacity for each energy transmission path. The transmission capacity is determined by the physical characteristics of the path, including pipe diameter, wire thickness, and transmission distance. After setting various constraints, a path feasibility analysis is performed to verify the path capacity, demand nodes, and transmission control nodes, and the verified path will be used as the final optimization result path.

5. The roast duck oven mobile phone terminal remote temperature adjustment control system according to claim 4 is characterized in that: It is used to set the trigger conditions and dynamically adjust the energy flow and provide path feedback according to the optimized path, including the following steps: The trigger conditions include temperature deviation, sudden change in energy demand, and abnormal path transmission; After the triggering condition, the energy flow is dynamically adjusted according to the hierarchical scheduling strategy, including global layer adjustment, intermediate layer adjustment and local layer adjustment; After the energy flow is dynamically adjusted, the real-time path feedback mechanism is started to determine whether to perform remote temperature adjustment control on the mobile phone based on the energy transmission results.

6. The roast duck oven mobile phone terminal remote temperature adjustment control system according to claim 5 is characterized in that: Determining feedback conditions according to the energy transmission results and obtaining state influence information generated during energy transmission on the roast duck oven path includes the following steps: The state impact information includes power transmission information and path stability information. The power transmission information includes a path power transmission deviation ratio, and the path stability information includes an energy flow path stability index. The path power transmission deviation ratio in the power transmission information and the energy flow path stability index in the path stability information are combined to generate a temperature control coefficient; The path power transmission deviation ratio is directly proportional to the temperature control coefficient, and the energy flow path stability index is inversely proportional to the temperature control coefficient.

7. The roast duck oven mobile phone terminal remote temperature adjustment control system according to claim 6 is characterized in that: It is used to analyze the state influence information generated during the energy transmission process on the path and generate different signals, and determine the roast duck oven temperature remote control strategy according to the generated different signals. The specific steps are as follows: Compare the temperature regulation coefficient with the temperature control threshold; If the temperature control coefficient is less than the temperature control threshold, a temperature stabilization signal is generated and the device continues to be used without performing additional temperature control operations; If the temperature control coefficient is greater than or equal to the temperature control threshold, remote control information is generated and the mobile phone is used to intervene in temperature control.

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