A thermal power plant safety early warning system based on edge data center
Through the thermal power plant safety warning system of the edge data center, the fuel combustion, power generation and energy storage status of the thermal power plant is analyzed in real time, solving the problem of low safety monitoring efficiency in the existing technology, and achieving efficient safety monitoring of the thermal power plant.
Patent Information
- Application Number
- CN202410698316.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-05-31
- Publication Date
- 2025-08-29
- Estimated Expiration
- 2044-05-31
AI Technical Summary
In the prior art, the safety monitoring efficiency of thermal power plants is low, and real-time early warning and rapid response cannot be achieved, especially the safety analysis of energy storage equipment and heat conversion equipment is insufficient.
The thermal power plant safety warning system is adopted based on edge data centers, and the fuel combustion status, power generation monitoring module, power storage monitoring module, power generation safety analysis module and power distribution safety analysis module of thermal power plant is analyzed in real time, and early warning and management is carried out through the safety warning module.
It improves the completeness and accuracy of data acquisition, enhances the analysis accuracy of the power generation status, fuel combustion status and energy storage status of thermal power plants, thereby improving the efficiency of safety monitoring and ensuring the safe operation of thermal power plants.
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Figure CN118584921B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of safety early warning technology for thermal power plants, and in particular to a safety early warning system for thermal power plants based on an edge data center. Background Art
[0002] As a vital energy supply base, the safe operation of thermal power plants is crucial for ensuring national energy security and economic development. However, thermal power plants may face numerous safety hazards during operation, such as fires and equipment failures. Accidents can cause significant economic losses and casualties. Therefore, developing an efficient and accurate thermal power plant safety early warning system is crucial for improving the safety and preparedness capabilities of thermal power plants. Traditional thermal power plant safety early warning systems rely primarily on centralized data processing, collecting monitoring data from various areas of the plant and transmitting it to a central server for centralized processing and analysis. However, this approach suffers from data transmission delays and low processing efficiency, making it difficult to provide real-time early warnings and rapid responses to thermal power plant safety hazards.
[0003] Chinese Patent Publication No. CN114757380A discloses a thermal power plant fault warning system, method, electronic device, and storage medium. The system includes a data acquisition module, a data management module, and a model construction module. The data acquisition module is used to obtain operating data for each power device in the current thermal power plant unit. The data management module is used to analyze the operating data to filter the model data required to construct fault warning models for different power devices and determine the operating characteristics of each power device. The model construction module is used to construct a fault warning model corresponding to each power device based on the model data and the operating characteristics of each power device, and then provide fault warning for the current thermal power plant based on each fault warning model. By combining the operating characteristics of each power device to construct a fault warning model for each power device in the current thermal power plant unit, faults in the power device are detected in advance and timely repairs are carried out, ensuring the stability of the unit operation. As can be seen, this invention only performs safety analysis on the thermal power plant generator unit and does not conduct a comprehensive safety analysis on the energy storage device and heat conversion device, resulting in low efficiency in thermal power plant safety monitoring. Summary of the Invention
[0004] To this end, the present invention provides a thermal power plant safety early warning system based on an edge data center to overcome the problem of low efficiency in safety monitoring of thermal power plants in the prior art.
[0005] To achieve the above objectives, the present invention provides a thermal power plant safety early warning system based on an edge data center, comprising:
[0006] Edge data acquisition module, used to obtain monitoring data and environmental parameters of each edge data center during the monitoring period;
[0007] The combustion monitoring module is used to analyze the fuel combustion status of the thermal power plant based on the monitoring data of the heat monitoring edge data center during the monitoring period;
[0008] The power generation monitoring module is used to analyze the power generation status of the thermal power plant based on the monitoring data of the power generation edge data center during the monitoring period;
[0009] The energy storage monitoring module is used to analyze the energy storage status of the thermal power plant based on the monitoring data of the energy storage edge data center during the monitoring period;
[0010] The power generation safety analysis module is used to analyze the power generation safety status based on the fuel combustion status and power generation status of the thermal power plant during the monitoring period;
[0011] The power distribution safety analysis module is used to analyze the power distribution safety status based on the power generation status and energy storage status of the thermal power plant during the monitoring period;
[0012] The safety warning module is used to issue warnings to users based on the power generation safety status and distribution safety status during the monitoring period, and to manage the operation process of the thermal power plant based on the warning results. The safety warning module is also used to update the management process based on the number of warnings within the management period.
[0013] Furthermore, the power generation monitoring module is provided with a state analysis unit, which is used to compare the active output power P within the monitoring period with each preset power, and analyze the power generation stage according to the comparison result, wherein:
[0014] When P<P1, the state analysis unit determines that the power generation stage of the thermal power plant during the monitoring period is low-load power generation, and sets the rated output power to P0;
[0015] When P1≤P<P2, the state analysis unit determines that the power generation stage of the thermal power plant during the monitoring period is medium load power generation, and sets the rated output power to P1;
[0016] When P≥P2, the state analysis unit determines that the power generation stage of the thermal power plant in the monitoring period is high-load power generation, and sets the rated output power to P2.
[0017] Furthermore, the power generation monitoring module is further provided with an electric quantity analysis unit, which calculates the fuel power generation Q according to the fuel information in the monitoring period. The calculation formula of the fuel power generation Q is as follows:
[0018] Q = M × Qnet × α × η;
[0019] Where M is the fuel quality during the monitoring period, Qnet is the lower calorific value of the fuel, α is the thermal conversion efficiency of the thermal power plant, and η is the thermal-to-electricity conversion efficiency of the thermal power plant;
[0020] The power analysis unit analyzes the power generation state of the thermal power plant according to the power generation state analysis results and the fuel power generation Q within the monitoring period, wherein:
[0021] When Q < Pi × T × (1-a1), the power analysis unit determines that the power generation state of the thermal power plant within the monitoring period is abnormal;
[0022] When Q≥Pi×T×(1-a1), the power analysis unit determines that the power generation state of the thermal power plant within the monitoring period is normal;
[0023] Where i = 1, 2, or 3, T is the duration of the monitoring period, a1 is the allowable power error value, and 0.1≤a1≤0.2.
[0024] Furthermore, the combustion monitoring module compares the fuel calorific value W with the actual calorific value E during the monitoring period, and analyzes the fuel combustion state of the thermal power plant based on the comparison result, wherein:
[0025] When W<E / α, the combustion monitoring module determines that the fuel combustion state of the thermal power plant within the monitoring period is abnormal;
[0026] When W≥E / α, the combustion monitoring module determines that the fuel combustion state of the thermal power plant within the monitoring period is normal.
[0027] Furthermore, the energy storage monitoring module is provided with an energy storage analysis unit, which is used to analyze the operating status of the energy storage power station based on the monitoring data of the energy storage edge data center within the monitoring period, wherein:
[0028] When Pc<Pr×(1-γ), the energy storage analysis unit determines that the operating state of the thermal power plant energy storage power station during the monitoring period is the energy storage state;
[0029] When Pr×(1-γ)≤Pc≤Pr×(1+γ), the energy storage analysis unit determines that the operating state of the thermal power plant energy storage power station within the monitoring period is a balanced state;
[0030] When Pc>Pr×(1+γ), the energy storage analysis unit determines that the operating state of the thermal power plant energy storage power station during the monitoring period is an additional supply state;
[0031] Where Pc is the load power of the thermal power plant energy storage station during the monitoring period, Pr is the input power of the thermal power plant energy storage station during the monitoring period, and γ is the power error value of the energy storage station;
[0032] The energy storage monitoring module is further provided with an adjustment unit, which is used to compare the ambient temperature t within the monitoring period with the preset temperature C and adjust the energy storage power station operation status analysis results according to the comparison results, wherein:
[0033] When t<C, the adjustment unit determines that the temperature is normal within the monitoring period and does not make any adjustment;
[0034] When t≥C, the adjustment unit determines that the temperature is abnormal within the monitoring period, and adjusts the power error value γ of the energy storage station to γ', setting γ'=γ×arctan[(tC) / C];
[0035] The energy storage monitoring module is further provided with an optimization unit, which is used to compare the magnetic field strength B of the energy storage power station during the monitoring period with the preset magnetic field strength B1, and optimize the adjustment result of the operating state of the energy storage power station according to the comparison result, wherein:
[0036] When B<B1, the optimization unit determines that the magnetic field strength within the monitoring period is normal and does not perform optimization;
[0037] When B≥B1, the optimization unit determines that the magnetic field intensity is abnormal during the monitoring period, and optimizes the preset temperature to C', setting C'=C×{1+sin[(B-B1) / B1]}.
[0038] Furthermore, the energy storage monitoring module is further provided with an energy storage anomaly analysis unit, which is used to analyze the energy storage status of the thermal power plant based on the analysis results of the energy storage power station operation status during the monitoring period and the monitoring data of the energy storage edge data center, wherein:
[0039] When the operating state of the energy storage power station is the energy storage state, if [(Pr-Pc)×T+Qc]>QR, the energy storage abnormality analysis unit determines that the energy storage state of the thermal power plant during the monitoring period is an input abnormality; if [(Pr-Pc)×T+Qc]≤QR, the energy storage abnormality analysis unit determines that the energy storage state of the thermal power plant during the monitoring period is normal;
[0040] When the operating state of the energy storage power station is a balanced state, the energy storage abnormality analysis unit determines that the energy storage state of the thermal power plant within the monitoring period is normal;
[0041] When the operating state of the energy storage power station is the additional supply state, if [(Pc-Pr)×T]>Qc, the energy storage abnormality analysis unit determines that the energy storage state of the thermal power plant during the monitoring period is an output abnormality; if [(Pc-Pr)×T]≤Qc, the energy storage abnormality analysis unit determines that the energy storage state of the thermal power plant during the monitoring period is normal;
[0042] Among them, Qc is the energy storage power of the energy storage power station during the monitoring period, and QR is the energy storage capacity of the energy storage power station.
[0043] Furthermore, the power generation safety analysis module analyzes the power generation safety status according to the fuel combustion status and power generation status of the thermal power plant during the monitoring period, wherein:
[0044] When the fuel combustion state of the thermal power plant is normal, if the power generation state is normal, the power generation safety analysis module determines that the power generation safety state within the monitoring period is safe; if the power generation state is abnormal, the power generation safety analysis module determines that the power generation safety state within the monitoring period is abnormal heat conversion;
[0045] When the fuel combustion state of the thermal power plant is abnormal, if the power generation state is normal, the power generation safety analysis module determines that the power generation safety state during the monitoring period is heat transfer abnormality; if the power generation state is abnormal, the power generation safety analysis module determines that the power generation safety state during the monitoring period is generator set abnormality.
[0046] Furthermore, the power distribution safety analysis module analyzes the power distribution safety status according to the power generation status and energy storage status of the thermal power plant within the monitoring period, wherein:
[0047] When the energy storage state of the thermal power plant is normal, the power distribution safety analysis module determines that the power distribution safety state within the monitoring period is normal;
[0048] When the energy storage state of the thermal power plant is input abnormality, if the power generation state is normal, the power distribution safety analysis module determines that the power distribution safety state during the monitoring period is input power abnormality; if the power generation state is abnormal, the power distribution safety analysis module determines that the power distribution safety state during the monitoring period is generator set abnormality;
[0049] When the energy storage state of the thermal power plant is output abnormality, if the power generation state is normal, the power distribution safety analysis module determines that the power distribution safety state during the monitoring period is output power abnormality; if the power generation state is abnormal, the power distribution safety analysis module determines that the power distribution safety state during the monitoring period is input power abnormality.
[0050] Furthermore, the safety warning module is provided with a safety warning unit, which is used to analyze the operating status of the thermal power plant according to the power generation safety status and the power distribution safety status during the monitoring period, and to issue a warning to the user based on the analysis results, wherein:
[0051] When the power generation safety state is safe, if the power distribution safety state is normal, the safety warning unit determines that the operation state of the thermal power plant is normal during the monitoring period and does not issue a warning to the user;
[0052] When the power generation safety status is safe, if the power distribution safety status is abnormal generator set, the safety warning unit determines that the operation status of the thermal power plant during the monitoring period is abnormal, and sends an equipment abnormality warning to the user; if the power distribution safety status is abnormal output power, the safety warning unit determines that the operation status of the thermal power plant during the monitoring period is abnormal, and sends a power supply abnormality warning to the user; if the power distribution safety status is abnormal input, the safety warning unit determines that the operation status of the thermal power plant during the monitoring period is abnormal, and sends a power generation abnormality warning to the user;
[0053] When the power generation safety status is abnormal heat transfer of the equipment, the safety warning unit determines that the operation status of the thermal power plant within the monitoring period is abnormal and sends a heat conversion equipment abnormality warning to the user;
[0054] When the power generation safety status is that the generator set is abnormal, the safety warning unit determines that the operating status of the thermal power plant within the monitoring period is abnormal, and sends an equipment abnormality warning to the user.
[0055] Furthermore, the safety warning module is further provided with a peak load management unit, which is used to manage the operation process of the thermal power plant according to the warning results within the monitoring period, wherein:
[0056] When the warning result is an equipment abnormality warning, the peak-shaving management unit recommends that the user inspect and repair the generator set equipment;
[0057] When the warning result is a power supply abnormality warning, the peak-shaving management unit sets the active output power of the next monitoring cycle to U1, and sets U1=P×ln[1+(Pr-Pc-V×R) / P];
[0058] When the warning result is a power generation abnormality warning, the peak regulation management unit sets the active output power of the next monitoring period to U2, and sets U2=P×exp[(Pr-Pc-V×R) / P];
[0059] The safety warning module is further provided with a management update unit, which is used to update the management process of the thermal power plant operation process in the next management cycle according to the number of warnings n in the management cycle, wherein:
[0060] When n / N<μ, the management update unit determines that the number of warnings within the management period is normal and does not update;
[0061] When n / N≥μ, the management update unit determines that the number of warnings within the management period is abnormal, and updates the duration of the monitoring period to T', setting T'=T×{2-cos[(n / N-μ) / μ]};
[0062] Where μ is the preset warning proportional constant, 0.05<μ≤0.2, and N is the number of monitoring cycles within the management cycle.
[0063] Compared with the prior art, the beneficial effect of the present invention is that the edge data acquisition module improves the integrity and accuracy of data acquisition by acquiring the information required by the system, thereby improving the accuracy of power generation status analysis, thereby improving the accuracy of power generation status analysis of the thermal power plant, thereby improving the accuracy of power generation safety status and distribution point safety status analysis, and ultimately improving the efficiency of thermal power plant safety monitoring. The combustion monitoring module compares the fuel calorific value within the monitoring period with the actual calorific value, and analyzes the fuel combustion state of the thermal power plant based on the comparison result, thereby improving the accuracy of the fuel combustion state analysis of the thermal power plant, thereby improving the accuracy of the power generation safety status and distribution point safety status analysis, and ultimately improving the efficiency of thermal power plant safety monitoring. The power generation monitoring module analyzes the power generation state of the thermal power plant according to the power generation status analysis results and fuel power generation within the monitoring period, thereby improving the accuracy of the power generation status analysis, thereby improving the accuracy of the power generation status analysis of the thermal power plant, thereby improving the accuracy of the power generation safety status and distribution point safety status analysis, and ultimately improving the efficiency of thermal power plant safety monitoring. The energy storage monitoring module analyzes the power generation state of the thermal power plant according to the operating status of the energy storage power station within the monitoring period. The energy storage status of the thermal power plant is analyzed based on the state analysis results and the monitoring data of the energy storage edge data center, which improves the accuracy of the analysis of the energy storage status of the thermal power plant, thereby improving the accuracy of the analysis of the power generation safety status and the distribution point safety status, and ultimately improving the efficiency of the thermal power plant safety monitoring. The power generation safety analysis module analyzes the power generation safety status according to the fuel combustion status and power generation status of the thermal power plant during the monitoring period, thereby improving the accuracy of the power generation safety status analysis, thereby improving the accuracy of the inventory of the thermal power plant operation status during the monitoring period, and ultimately improving the efficiency of the thermal power plant safety monitoring. The distribution safety analysis module analyzes the distribution safety status according to the power generation status and energy storage status of the thermal power plant during the monitoring period, thereby improving the accuracy of the distribution safety status analysis, thereby improving the accuracy of the inventory of the thermal power plant's operating status during the monitoring period, and ultimately improving the efficiency of the thermal power plant's safety monitoring. The safety early warning module analyzes the thermal power plant's operating status according to the power generation safety status and the distribution safety status during the monitoring period, and issues early warnings to users based on the analysis results, thereby improving the accuracy of the inventory of the thermal power plant's operating status during the monitoring period, and thereby improving the efficiency of the thermal power plant's safety monitoring. BRIEF DESCRIPTION OF THE DRAWINGS
[0064] Figure 1 This is a schematic diagram of the structure of the thermal power plant safety early warning system based on the edge data center in this embodiment;
[0065] Figure 2 This is a structural diagram of the power generation monitoring module of this embodiment;
[0066] Figure 3 This is a structural diagram of the energy storage monitoring module of this embodiment;
[0067] Figure 4 This is a structural diagram of the safety warning module of this embodiment. DETAILED DESCRIPTION
[0068] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.
[0069] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.
[0070] It should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal connections between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.
[0071] See also Figure 1 As shown, it is a structural diagram of the thermal power plant safety early warning system based on the edge data center in this embodiment, including:
[0072] The edge data acquisition module is used to obtain the monitoring data and environmental parameters of each edge data center within the monitoring period; the edge data centers include power generation edge data centers, energy storage edge data centers and heat monitoring edge data centers; the monitoring data of the power generation edge data center include equipment operating power, heat conversion efficiency, fuel quality and fuel low calorific value; the monitoring data of the energy storage edge data center include load power, input power, energy storage capacity and energy storage power; the monitoring data of the heat monitoring edge data center include actual calorific value; the environmental parameters include ambient temperature and magnetic field strength of energy storage power station, and the ambient temperature and magnetic field strength of energy storage power station are both average values within the monitoring period; in this embodiment, the monitoring period is not The value of the period is specifically limited, and those skilled in the art can set it freely, as long as the value requirements of the monitoring period are met, such as the monitoring period can be set to 5 minutes, 10 minutes, 15 minutes, etc.; In this embodiment, the method for obtaining the monitoring data of each edge data center is not specifically limited, and those skilled in the art can set it freely, as long as the acquisition requirements of the monitoring data of each edge data center are met, such as data sensors can be used to obtain data from the site and transmit it to the edge data center; In this embodiment, the method for obtaining environmental parameters is not specifically limited, and those skilled in the art can set it freely, as long as the acquisition requirements of environmental parameters are met, such as temperature sensors and magnetic field detectors can be used to obtain environmental parameters;
[0073] A combustion monitoring module, used to analyze the fuel combustion status of the thermal power plant based on the monitoring data of the heat monitoring edge data center during the monitoring period, and the combustion monitoring module is connected to the edge data acquisition module;
[0074] A power generation monitoring module, used to analyze the power generation status of the thermal power plant based on the monitoring data of the power generation edge data center during the monitoring period, and the power generation monitoring module is connected to the edge data acquisition module;
[0075] An energy storage monitoring module, configured to analyze the energy storage status of the thermal power plant based on the monitoring data of the energy storage edge data center during the monitoring period, the energy storage monitoring module being connected to the edge data acquisition module;
[0076] A power generation safety analysis module is used to analyze the power generation safety status according to the fuel combustion status and power generation status of the thermal power plant during the monitoring period. The emission safety status is connected to the power generation monitoring module and the combustion monitoring module;
[0077] A power distribution safety analysis module, configured to analyze the power distribution safety status according to the power generation status and energy storage status of the thermal power plant within the monitoring period, the power distribution safety analysis module being connected to the power generation monitoring module and the energy storage monitoring module;
[0078] The safety warning module is used to issue warnings to users based on the power generation safety status and distribution safety status during the monitoring period, and to manage the operation process of the thermal power plant based on the warning results. The safety warning module is connected to the power generation safety analysis module and the distribution safety analysis module.
[0079] See also Figure 2 As shown, it is a structural diagram of the power generation monitoring module of this embodiment, including:
[0080] A state analysis unit for analyzing the power generation stage based on the active output power within the monitoring period;
[0081] The power analysis unit is used to analyze the power generation state of the thermal power plant according to the power generation state analysis results and the fuel power generation within the monitoring period. The power analysis unit is connected to the state analysis unit.
[0082] See also Figure 3 As shown, it is a structural diagram of the energy storage monitoring module of this embodiment, including:
[0083] The energy storage analysis unit is used to analyze the operating status of the energy storage power station based on the monitoring data of the energy storage edge data center during the monitoring period;
[0084] An adjustment unit, configured to adjust the analysis result of the energy storage power station operation status according to the ambient temperature within the monitoring period, the adjustment unit being connected to the energy storage analysis unit;
[0085] an optimization unit, configured to optimize the adjustment result of the operating state of the energy storage power station according to the magnetic field strength of the energy storage power station during the monitoring period, the optimization unit being connected to the adjustment unit;
[0086] The energy storage anomaly analysis unit is used to analyze the energy storage status of the thermal power plant based on the analysis results of the energy storage power station operation status within the monitoring period and the monitoring data of the energy storage edge data center. The energy storage anomaly analysis unit is connected to the energy storage analysis unit.
[0087] See also Figure 4 As shown, it is a structural diagram of the safety warning module of this embodiment, including:
[0088] Safety early warning unit, used to analyze the operating status of the thermal power plant according to the power generation safety status and distribution safety status during the monitoring period, and issue early warnings to users based on the analysis results;
[0089] A peak-shaving management unit, used to manage the operation process of the thermal power plant according to the early warning results within the monitoring period, the peak-shaving management unit being connected to the safety early warning unit;
[0090] The management update unit is used to update the management process of the thermal power plant operation process in the next management cycle according to the number of warnings within the management cycle. In this embodiment, the management cycle is not specifically limited, and those skilled in the art can set it freely, as long as the value requirements of the management cycle are met. For example, the length of the management cycle can be set to 20 times the length of the monitoring cycle.
[0091] Specifically, the thermal power plant safety early warning system based on the edge data center described in this embodiment is applied to the safety early warning of the thermal power plant. The thermal power plant described in this embodiment is a multifunctional thermal power plant integrating power generation, heating, and steam supply; in this embodiment, the edge data center is deployed near the thermal power plant generator equipment, near the fuel combustion monitoring equipment, and near the energy storage power station monitoring equipment; the present invention improves the efficiency of thermal power plant safety monitoring by analyzing the monitoring data of each edge data center and analyzing the power generation status and distribution status based on the analysis results.
[0092] Specifically, the power generation analysis unit analyzes the power generation status of the thermal power plant within the monitoring period based on the monitoring data of the power generation edge data center within the monitoring period;
[0093] Specifically, the state analysis unit compares the active output power P during the monitoring period with each preset power, and analyzes the power generation state according to the comparison result, wherein:
[0094] When P<P1, the state analysis unit determines that the power generation state of the thermal power plant during the monitoring period is low-load power generation, and sets the rated output power to P0;
[0095] When P1≤P<P2, the state analysis unit determines that the power generation state of the thermal power plant during the monitoring period is medium load power generation, and sets the rated output power to P1;
[0096] When P≥P2, the state analysis unit determines that the power generation state of the thermal power plant during the monitoring period is high-load power generation, and sets the rated output power to P2;
[0097] Wherein, P1 is the first preset power, P2 is the second preset power, and P1<P2.
[0098] Specifically, the power generation analysis unit analyzes the power generation stage and then sets the rated output power, thereby improving the accuracy of the power generation status analysis, and then improving the accuracy of the power generation status analysis of the thermal power plant, thereby improving the accuracy of the power generation safety status and distribution point safety status analysis, and ultimately improving the efficiency of safety monitoring of the thermal power plant; it can be understood that in this embodiment, there is no specific limitation on the values of the first preset power P1 and the second preset power P2. Those skilled in the art can set them freely, and only need to meet the value requirements of the first preset power P1 and the second preset power P2. For example, the first preset power P1 can be set to 70% of the maximum output power of the thermal power plant, and the second preset power P2 can be set to 90% of the maximum output power of the thermal power plant; at the same time, P0 is 50% of the maximum output power of the thermal power plant.
[0099] Specifically, the power analysis unit calculates the fuel power generation Q based on the fuel information in the monitoring period. The calculation formula of the fuel power generation Q is as follows:
[0100] Q = M × Qnet × α × η;
[0101] Where M is the fuel quality during the monitoring period, Qnet is the lower calorific value of the fuel, α is the thermal conversion efficiency of the thermal power plant, and η is the thermal-to-electricity conversion efficiency of the thermal power plant;
[0102] The power analysis unit analyzes the power generation state of the thermal power plant according to the power generation state analysis results and the fuel power generation Q within the monitoring period, wherein:
[0103] When Q < Pi × T × (1-a1), the power analysis unit determines that the power generation state of the thermal power plant within the monitoring period is abnormal;
[0104] When Q≥Pi×T×(1-a1), the power analysis unit determines that the power generation state of the thermal power plant within the monitoring period is normal;
[0105] Where i = 1, 2, or 3, T is the duration of the monitoring period, a1 is the allowable power error value, and 0.1≤a1≤0.2.
[0106] Specifically, the power analysis unit analyzes the power generation status of the thermal power plant according to the power generation status analysis results and the fuel power generation during the monitoring period, thereby improving the accuracy of the power generation status analysis, and further improving the accuracy of the power generation status analysis of the thermal power plant, thereby improving the accuracy of the power generation safety status and distribution point safety status analysis, and ultimately improving the efficiency of safety monitoring of the thermal power plant; it can be understood that in this embodiment, the value of the allowable power error value a1 is not specifically limited, and those skilled in the art can set it freely, as long as the value requirements of the allowable power error value a1 are met, such as the power error value a1 can be set to 0.15.
[0107] Specifically, the combustion monitoring module compares the fuel calorific value W with the actual calorific value E during the monitoring period, and analyzes the fuel combustion status of the thermal power plant based on the comparison results, wherein:
[0108] When W<E / α, the combustion monitoring module determines that the fuel combustion state of the thermal power plant within the monitoring period is abnormal;
[0109] When W≥E / α, the combustion monitoring module determines that the fuel combustion state of the thermal power plant within the monitoring period is normal.
[0110] Specifically, the combustion monitoring module compares the fuel calorific value within the monitoring period with the actual calorific value, and analyzes the fuel combustion status of the thermal power plant based on the comparison results, thereby improving the accuracy of the analysis of the fuel combustion status of the thermal power plant, thereby improving the accuracy of the analysis of the power generation safety status and the distribution point safety status, and ultimately improving the efficiency of safety monitoring of the thermal power plant.
[0111] Specifically, the energy storage analysis unit analyzes the operating status of the energy storage power station based on the monitoring data of the energy storage edge data center during the monitoring period, wherein:
[0112] When Pc<Pr×(1-γ), the energy storage analysis unit determines that the operating state of the thermal power plant energy storage power station during the monitoring period is the energy storage state;
[0113] When Pr×(1-γ)≤Pc≤Pr×(1+γ), the energy storage analysis unit determines that the operating state of the thermal power plant energy storage power station within the monitoring period is a balanced state;
[0114] When Pc>Pr×(1+γ), the energy storage analysis unit determines that the operating state of the thermal power plant energy storage power station during the monitoring period is an additional supply state;
[0115] Among them, Pc is the load power of the thermal power plant energy storage station during the monitoring period, Pr is the input power of the thermal power plant energy storage station during the monitoring period, and γ is the power error value of the energy storage station.
[0116] Specifically, the energy storage analysis unit analyzes the operating status of the energy storage power station based on the monitoring data of the energy storage edge data center during the monitoring period, thereby improving the accuracy of the analysis of the energy storage status of the thermal power plant, thereby improving the accuracy of the analysis of the power generation safety status and the distribution point safety status, and ultimately improving the efficiency of the safety monitoring of the thermal power plant. It can be understood that in this embodiment, no specific limitation is imposed on the value of the power error value γ of the energy storage power station. Those skilled in the art can freely set it, as long as the value requirement of the power error value γ of the energy storage power station is met. For example, the power error value γ of the energy storage power station can be set to 0.05.
[0117] Specifically, the adjustment unit compares the ambient temperature t during the monitoring period with the preset temperature C, and adjusts the energy storage power station operation status analysis results according to the comparison results, wherein:
[0118] When t<C, the adjustment unit determines that the temperature is normal within the monitoring period and does not make any adjustment;
[0119] When t≥C, the adjustment unit determines that the temperature is abnormal during the monitoring period, and adjusts the power error value γ of the energy storage station to γ', setting γ'=γ×arctan[(tC) / C].
[0120] Specifically, the adjustment unit improves the accuracy of the analysis of the energy storage status of the thermal power plant by adjusting the analysis results of the operating status of the energy storage power station, thereby improving the accuracy of the analysis of the power generation safety status and the distribution point safety status, and ultimately improving the efficiency of the safety monitoring of the thermal power plant. In this embodiment, there is no specific limitation on the value of the preset temperature C. Those skilled in the art can freely set it as long as the value requirements of the preset temperature C are met. For example, the preset temperature C can be set to 40°C.
[0121] Specifically, the optimization unit compares the magnetic field strength B of the energy storage power station during the monitoring period with the preset magnetic field strength B1, and optimizes the adjustment result of the operating state of the energy storage power station according to the comparison result, wherein:
[0122] When B<B1, the optimization unit determines that the magnetic field strength within the monitoring period is normal and does not perform optimization;
[0123] When B≥B1, the optimization unit determines that the magnetic field intensity is abnormal during the monitoring period, and optimizes the preset temperature to C', setting C'=C×{1+sin[(B-B1) / B1]}.
[0124] Specifically, the optimization unit improves the accuracy of the analysis of the power generation safety status and the distribution point safety status by optimizing the adjustment results of the operating status of the energy storage power station, and ultimately improves the efficiency of safety monitoring of the thermal power plant. In this embodiment, there is no specific limitation on the value of the preset magnetic field strength B1. Those skilled in the art can freely set it as long as the value requirement of the preset magnetic field strength B1 is met. For example, the preset magnetic field strength B1 can be set to 6μT.
[0125] Specifically, the energy storage anomaly analysis unit analyzes the energy storage status of the thermal power plant based on the analysis results of the energy storage power station operation status during the monitoring period and the monitoring data of the energy storage edge data center, wherein:
[0126] When the operating state of the energy storage power station is the energy storage state, if [(Pr-Pc)×T+Qc]>QR, the energy storage abnormality analysis unit determines that the energy storage state of the thermal power plant during the monitoring period is an input abnormality; if [(Pr-Pc)×T+Qc]≤QR, the energy storage abnormality analysis unit determines that the energy storage state of the thermal power plant during the monitoring period is normal;
[0127] When the operating state of the energy storage power station is a balanced state, the energy storage abnormality analysis unit determines that the energy storage state of the thermal power plant within the monitoring period is normal;
[0128] When the operating state of the energy storage power station is the additional supply state, if [(Pc-Pr)×T]>Qc, the energy storage abnormality analysis unit determines that the energy storage state of the thermal power plant during the monitoring period is an output abnormality; if [(Pc-Pr)×T]≤Qc, the energy storage abnormality analysis unit determines that the energy storage state of the thermal power plant during the monitoring period is normal;
[0129] Among them, Qc is the energy storage power of the energy storage power station during the monitoring period, and QR is the energy storage capacity of the energy storage power station.
[0130] Specifically, the energy storage anomaly analysis unit analyzes the energy storage status of the thermal power plant based on the analysis results of the energy storage power station operation status during the monitoring period and the monitoring data of the energy storage edge data center, thereby improving the accuracy of the energy storage status analysis of the thermal power plant, and further improving the accuracy of the analysis of the power generation safety status and the distribution point safety status, ultimately improving the efficiency of safety monitoring of the thermal power plant.
[0131] Specifically, the power generation safety analysis module analyzes the power generation safety status according to the fuel combustion status and power generation status of the thermal power plant during the monitoring period, wherein:
[0132] When the fuel combustion state of the thermal power plant is normal, if the power generation state is normal, the power generation safety analysis module determines that the power generation safety state within the monitoring period is safe; if the power generation state is abnormal, the power generation safety analysis module determines that the power generation safety state within the monitoring period is abnormal heat conversion;
[0133] When the fuel combustion state of the thermal power plant is abnormal, if the power generation state is normal, the power generation safety analysis module determines that the power generation safety state during the monitoring period is heat transfer abnormality; if the power generation state is abnormal, the power generation safety analysis module determines that the power generation safety state during the monitoring period is generator set abnormality.
[0134] Specifically, the power generation safety analysis module analyzes the power generation safety status according to the fuel combustion status and power generation status of the thermal power plant during the monitoring period, thereby improving the accuracy of the power generation safety status analysis, thereby improving the accuracy of the inventory of the thermal power plant's operating status during the monitoring period, and ultimately improving the efficiency of thermal power plant safety monitoring.
[0135] Specifically, the power distribution safety analysis module analyzes the power distribution safety status according to the power generation status and energy storage status of the thermal power plant during the monitoring period, wherein:
[0136] When the energy storage state of the thermal power plant is normal, the power distribution safety analysis module determines that the power distribution safety state within the monitoring period is normal;
[0137] When the energy storage state of the thermal power plant is input abnormality, if the power generation state is normal, the power distribution safety analysis module determines that the power distribution safety state during the monitoring period is input power abnormality; if the power generation state is abnormal, the power distribution safety analysis module determines that the power distribution safety state during the monitoring period is generator set abnormality;
[0138] When the energy storage state of the thermal power plant is output abnormality, if the power generation state is normal, the power distribution safety analysis module determines that the power distribution safety state during the monitoring period is output power abnormality; if the power generation state is abnormal, the power distribution safety analysis module determines that the power distribution safety state during the monitoring period is input power abnormality.
[0139] Specifically, the distribution safety analysis module analyzes the distribution safety status according to the power generation status and energy storage status of the thermal power plant during the monitoring period, thereby improving the accuracy of the distribution safety status analysis, thereby improving the accuracy of the inventory of the operating status of the thermal power plant during the monitoring period, and ultimately improving the efficiency of the safety monitoring of the thermal power plant.
[0140] Specifically, the safety warning unit is used to analyze the operating status of the thermal power plant according to the power generation safety status and the power distribution safety status during the monitoring period, and to issue a warning to the user based on the analysis results, wherein:
[0141] When the power generation safety state is safe, if the power distribution safety state is normal, the safety warning unit determines that the operation state of the thermal power plant is normal during the monitoring period and does not issue a warning to the user;
[0142] When the power generation safety status is safe, if the power distribution safety status is abnormal generator set, the safety warning unit determines that the operation status of the thermal power plant during the monitoring period is abnormal, and sends an equipment abnormality warning to the user; if the power distribution safety status is abnormal output power, the safety warning unit determines that the operation status of the thermal power plant during the monitoring period is abnormal, and sends a power supply abnormality warning to the user; if the power distribution safety status is abnormal input, the safety warning unit determines that the operation status of the thermal power plant during the monitoring period is abnormal, and sends a power generation abnormality warning to the user;
[0143] When the power generation safety status is abnormal heat transfer of the equipment, the safety warning unit determines that the operation status of the thermal power plant within the monitoring period is abnormal and sends a heat conversion equipment abnormality warning to the user;
[0144] When the power generation safety status is that the generator set is abnormal, the safety warning unit determines that the operating status of the thermal power plant within the monitoring period is abnormal, and sends an equipment abnormality warning to the user.
[0145] Specifically, the safety warning unit analyzes the operating status of the thermal power plant according to the power generation safety status and the distribution safety status during the monitoring period, and issues warnings to users based on the analysis results, thereby improving the accuracy of the inventory of the operating status of the thermal power plant during the monitoring period and thus improving the efficiency of safety monitoring of the thermal power plant.
[0146] Specifically, the peak load management unit manages the operation process of the thermal power plant according to the early warning results within the monitoring period, wherein:
[0147] When the warning result is an equipment abnormality warning, the peak-shaving management unit recommends that the user inspect and repair the generator set equipment;
[0148] When the warning result is a power supply abnormality warning, the peak-shaving management unit sets the active output power of the next monitoring cycle to U1, and sets U1=P×ln[1+(Pr-Pc-V×R) / P];
[0149] When the warning result is a power generation abnormality warning, the peak regulation management unit sets the active output power of the next monitoring period to U2, and sets U2=P×exp[(Pr-Pc-V×R) / P].
[0150] Specifically, the peak load management unit manages the operation process of the thermal power plant according to the early warning results within the monitoring period, thereby improving the accuracy of the inventory of the operation status of the thermal power plant in the next monitoring period, and further improving the accuracy of early warning to users.
[0151] Specifically, the management update unit updates the management process of the thermal power plant operation process in the next management cycle according to the number of warnings n in the management cycle, wherein:
[0152] When n / N<μ, the management update unit determines that the number of warnings within the management period is normal and does not update;
[0153] When n / N≥μ, the management update unit determines that the number of warnings within the management period is abnormal, and updates the duration of the monitoring period to T', setting T'=T×{2-cos[(n / N-μ) / μ]};
[0154] Where μ is the preset warning proportional constant, 0.05<μ≤0.2, and N is the number of monitoring cycles within the management cycle.
[0155] Specifically, the management update unit improves the accuracy of the inventory of the operating status of the thermal power plant in the next monitoring period by updating the management process of the thermal power plant operation process in the next management period, thereby improving the efficiency of safety monitoring of the thermal power plant; it can be understood that in this embodiment, there is no specific limitation on the value of the preset warning proportional constant μ, and technicians in this field can set it freely, as long as the value requirements of the preset warning proportional constant μ are met, such as the preset warning proportional constant μ can be set to 0.1.
[0156] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.
Claims
1. A thermal power plant safety early warning system based on edge data center, characterized in that: include, Edge data acquisition module, used to obtain monitoring data and environmental parameters of each edge data center during the monitoring period; The combustion monitoring module is used to analyze the fuel combustion status of the thermal power plant based on the monitoring data of the heat monitoring edge data center during the monitoring period; The power generation monitoring module is used to analyze the power generation status of the thermal power plant based on the monitoring data of the power generation edge data center during the monitoring period; The energy storage monitoring module is used to analyze the energy storage status of the thermal power plant based on the monitoring data of the energy storage edge data center during the monitoring period; The power generation safety analysis module is used to analyze the power generation safety status based on the fuel combustion status and power generation status of the thermal power plant during the monitoring period; The power distribution safety analysis module is used to analyze the power distribution safety status based on the power generation status and energy storage status of the thermal power plant during the monitoring period; A safety warning module is used to issue warnings to users based on the power generation and distribution safety status during the monitoring period, and to manage the operation of the thermal power plant based on the warning results. The safety warning module is also used to update the management process based on the number of warnings during the management period; The power generation monitoring module is provided with a state analysis unit, which is used to compare the active output power P within the monitoring period with each preset power and analyze the power generation stage according to the comparison result, wherein: When P<P1, the state analysis unit determines that the power generation stage of the thermal power plant during the monitoring period is low-load power generation, and sets the rated output power to P0; When P1≤P<P2, the state analysis unit determines that the power generation stage of the thermal power plant during the monitoring period is medium load power generation, and sets the rated output power to P1; When P≥P2, the state analysis unit determines that the power generation stage of the thermal power plant during the monitoring period is high-load power generation, and sets the rated output power to P2; Wherein, P1 is the first preset power, P2 is the second preset power, and P1<P2; The power generation monitoring module is further provided with an electric quantity analysis unit, which calculates the fuel power generation Q according to the fuel information in the monitoring period. The calculation formula of the fuel power generation Q is as follows: Q = M × Qnet × α × η; Where M is the fuel quality during the monitoring period, Qnet is the lower calorific value of the fuel, α is the thermal conversion efficiency of the thermal power plant, and η is the thermal-to-electricity conversion efficiency of the thermal power plant; The power analysis unit analyzes the power generation state of the thermal power plant according to the power generation state analysis results and the fuel power generation Q within the monitoring period, wherein: When Q < Pi × T × (1-a1), the power analysis unit determines that the power generation state of the thermal power plant within the monitoring period is abnormal; When Q≥Pi×T×(1-a1), the power analysis unit determines that the power generation state of the thermal power plant within the monitoring period is normal; Where i=0,1,2, T is the duration of the monitoring period, a1 is the allowable power error value and 0.1≤a1≤0.2; The power generation safety analysis module analyzes the power generation safety status according to the fuel combustion status and power generation status of the thermal power plant within the monitoring period, wherein: When the fuel combustion state of the thermal power plant is normal, if the power generation state is normal, the power generation safety analysis module determines that the power generation safety state within the monitoring period is safe; if the power generation state is abnormal, the power generation safety analysis module determines that the power generation safety state within the monitoring period is abnormal heat conversion; When the fuel combustion state of the thermal power plant is abnormal, if the power generation state is normal, the power generation safety analysis module determines that the power generation safety state during the monitoring period is heat transfer abnormality; if the power generation state is abnormal, the power generation safety analysis module determines that the power generation safety state during the monitoring period is generator set abnormality.
2. A thermal power plant safety early warning system based on an edge data center according to claim 1, characterized in that: The combustion monitoring module compares the fuel calorific value W with the actual calorific value E during the monitoring period, and analyzes the fuel combustion status of the thermal power plant based on the comparison results, wherein: When W<E / α, the combustion monitoring module determines that the fuel combustion state of the thermal power plant within the monitoring period is abnormal; When W≥E / α, the combustion monitoring module determines that the fuel combustion state of the thermal power plant within the monitoring period is normal.
3. A thermal power plant safety early warning system based on edge data center according to claim 2, characterized in that: The energy storage monitoring module is provided with an energy storage analysis unit, which is used to analyze the operating status of the energy storage power station based on the monitoring data of the energy storage edge data center within the monitoring period, wherein: When Pc<Pr×(1-γ), the energy storage analysis unit determines that the operating state of the thermal power plant energy storage power station during the monitoring period is the energy storage state; When Pr×(1-γ)≤Pc≤Pr×(1+γ), the energy storage analysis unit determines that the operating state of the thermal power plant energy storage power station within the monitoring period is a balanced state; When Pc>Pr×(1+γ), the energy storage analysis unit determines that the operating state of the thermal power plant energy storage power station during the monitoring period is an additional supply state; Where Pc is the load power of the thermal power plant energy storage station during the monitoring period, Pr is the input power of the thermal power plant energy storage station during the monitoring period, and γ is the power error value of the energy storage station; The energy storage monitoring module is further provided with an adjustment unit, which is used to compare the magnetic field strength B of the energy storage power station during the monitoring period with the preset magnetic field strength B1, and adjust the analysis process of the energy storage power station operation status according to the comparison result, wherein: When B<B1, the adjustment unit determines that the magnetic field strength within the monitoring period is normal and does not make any adjustments; When B≥B1, the adjustment unit determines that the magnetic field intensity is abnormal during the monitoring period, and adjusts the power error value γ of the energy storage station to γ', setting γ'=γ×arctan[(B-B1) / B1]; The energy storage monitoring module is further provided with an optimization unit, which is used to compare the ambient temperature t within the monitoring period with the preset temperature C and optimize the adjustment result of the energy storage power station operating state according to the comparison result, wherein: When t<C, the optimization unit determines that the temperature within the monitoring period is normal and does not perform optimization; When t≥C, the optimization unit determines that the temperature is abnormal during the monitoring period, and optimizes the preset magnetic field strength to B1', setting B1'=B1×{1+sin[(tC) / C]}.
4. A thermal power plant safety early warning system based on an edge data center according to claim 3, characterized in that: The energy storage monitoring module is further provided with an energy storage anomaly analysis unit, which is used to analyze the energy storage status of the thermal power plant based on the analysis results of the energy storage power station operation status during the monitoring period and the monitoring data of the energy storage edge data center, wherein: When the operating state of the energy storage power station is the energy storage state, if [(Pr-Pc)×T+Qc]>QR, the energy storage abnormality analysis unit determines that the energy storage state of the thermal power plant during the monitoring period is an input abnormality; if [(Pr-Pc)×T+Qc]≤QR, the energy storage abnormality analysis unit determines that the energy storage state of the thermal power plant during the monitoring period is normal; When the operating state of the energy storage power station is a balanced state, the energy storage abnormality analysis unit determines that the energy storage state of the thermal power plant within the monitoring period is normal; When the operating state of the energy storage power station is the additional supply state, if [(Pc-Pr)×T]>Qc, the energy storage abnormality analysis unit determines that the energy storage state of the thermal power plant during the monitoring period is an output abnormality; if [(Pc-Pr)×T]≤Qc, the energy storage abnormality analysis unit determines that the energy storage state of the thermal power plant during the monitoring period is normal; Among them, Qc is the energy storage power of the energy storage power station during the monitoring period, and QR is the energy storage capacity of the energy storage power station.
5. A thermal power plant safety early warning system based on edge data center according to claim 4, characterized in that: The power distribution safety analysis module analyzes the power distribution safety status according to the power generation status and energy storage status of the thermal power plant within the monitoring period, wherein: When the energy storage state of the thermal power plant is normal, the power distribution safety analysis module determines that the power distribution safety state within the monitoring period is normal; When the energy storage state of the thermal power plant is input abnormality, if the power generation state is normal, the power distribution safety analysis module determines that the power distribution safety state during the monitoring period is input power abnormality; if the power generation state is abnormal, the power distribution safety analysis module determines that the power distribution safety state during the monitoring period is generator set abnormality; When the energy storage state of the thermal power plant is output abnormality, if the power generation state is normal, the power distribution safety analysis module determines that the power distribution safety state during the monitoring period is output power abnormality; if the power generation state is abnormal, the power distribution safety analysis module determines that the power distribution safety state during the monitoring period is input power abnormality.
6. A thermal power plant safety early warning system based on edge data center according to claim 5, characterized in that: The safety warning module is provided with a safety warning unit, which is used to analyze the operating status of the thermal power plant according to the power generation safety status and the power distribution safety status during the monitoring period, and to issue a warning to the user based on the analysis results, wherein: When the power generation safety state is safe, if the power distribution safety state is normal, the safety warning unit determines that the operation state of the thermal power plant is normal during the monitoring period and does not issue a warning to the user; When the power generation safety status is safe, if the power distribution safety status is abnormal generator set, the safety warning unit determines that the operation status of the thermal power plant during the monitoring period is abnormal, and sends an equipment abnormality warning to the user; if the power distribution safety status is abnormal output power, the safety warning unit determines that the operation status of the thermal power plant during the monitoring period is abnormal, and sends a power supply abnormality warning to the user; if the power distribution safety status is abnormal input, the safety warning unit determines that the operation status of the thermal power plant during the monitoring period is abnormal, and sends a power generation abnormality warning to the user; When the power generation safety status is abnormal heat transfer of the equipment, the safety warning unit determines that the operation status of the thermal power plant within the monitoring period is abnormal and sends a heat conversion equipment abnormality warning to the user; When the power generation safety status is that the generator set is abnormal, the safety warning unit determines that the operating status of the thermal power plant within the monitoring period is abnormal, and sends an equipment abnormality warning to the user.
7. A thermal power plant safety early warning system based on edge data center according to claim 6, characterized in that: The safety warning module is further provided with a peak-shaving management unit, which is used to manage the operation process of the thermal power plant according to the warning results within the monitoring period, wherein: When the warning result is an equipment abnormality warning, the peak-shaving management unit recommends that the user inspect and repair the generator set equipment; When the warning result is a power supply abnormality warning, the peak-shaving management unit sets the active output power of the next monitoring cycle to U1, and sets U1=P×ln[1+(Pr-Pc-V×R) / P]; When the warning result is a power generation abnormality warning, the peak regulation management unit sets the active output power of the next monitoring period to U2, and sets U2=P×exp[(Pr-Pc-V×R) / P]; The safety warning module is further provided with a management update unit, which is used to update the management process of the thermal power plant operation process in the next management cycle according to the number of warnings n in the management cycle, wherein: When n / N<μ, the management update unit determines that the number of warnings within the management period is normal and does not update; When n / N≥μ, the management update unit determines that the number of warnings within the management period is abnormal, and updates the duration of the monitoring period to T', setting T'=T×{2-cos[(n / N-μ) / μ]}; Where μ is the preset warning proportional constant, 0.05<μ≤0.2, and N is the number of monitoring cycles within the management cycle.
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