Power generation and heat supply control system

Abstract

The invention discloses a power generation and heat supply control system, and relates to the technical field of heat supply control, a primary analysis module comprehensively analyzes device data and power generation data and then generates a starting coefficient, and a standby control module compares the starting coefficient with a starting threshold value and judges whether to control a heat energy recovery system to enter a standby state or not according to a comparison result; the secondary analysis module generates a control coefficient after comprehensively analyzing heat energy data and heat energy recovery system data when the heat energy recovery system operates, the judgment module compares the control coefficient with a control threshold value and judges whether the heat energy recovery system needs to be closed or not according to a control result, and the operation control module operates to control the heat energy recovery system to be closed when judging that the heat energy recovery system needs to be closed. According to the control method, whether the heat energy recovery system needs to be controlled to enter the standby state or not can be judged in the power generation process, and whether the heat energy recovery system is necessary to be started or not is judged when the heat energy recovery system operates, so that the cost is effectively reduced.

Description

Technical Field

[0001] This invention relates to the field of heating control technology, and more specifically to a power generation and heating control system. Background Technology

[0002] A power generation and heating control system is a system used to manage and control a power plant that generates electricity and heat simultaneously. A turbine generator produces mechanical energy by burning fuel (such as natural gas, coal, nuclear energy, etc.) or by other means, and then converts the mechanical energy into electricity. A boiler is used to generate steam, which is the power source that drives the turbine generator. Burning fuel heats water to produce steam, and then the waste heat from the boiler, usually the residual heat in the flue gas, is captured by a heat recovery system and then used for heating or other purposes, such as driving an absorption chiller.

[0003] When the boiler heats water to generate steam to drive the turbine generator, the heat recovery system is usually in standby mode. However, the existing control system does not assess the quality of the heat energy generated during this power generation, which can easily lead to the following defects:

[0004] 1. If the thermal energy quality of the power generation parameters does not meet the standards (i.e., the efficiency of thermal energy recovery is low), the thermal energy recovery system will be in standby mode, which will result in a waste of power resources.

[0005] 2. If the thermal energy quality of the power generation parameters does not meet the standards, but the heat recovery system is still in operation to recover thermal energy, the heat recovery efficiency will be lower than the operating cost of the heat recovery system, thereby increasing the company's costs. Summary of the Invention

[0006] The purpose of this invention is to provide a power generation and heating control system to address the shortcomings of the prior art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a power generation and heating control system, comprising a monitoring module, a primary analysis module, a standby control module, a data acquisition module, a secondary analysis module, a judgment module, and an operation control module;

[0008] Monitoring module: During the heating boiler power generation process, it acquires device data and power generation data of the heating device. The device data includes the device heat loss rate and air volume deviation index, and the power generation data includes the power generation index. The device data and power generation data are preprocessed.

[0009] Primary analysis module: After comprehensively analyzing device data and power generation data, it generates start-up coefficients;

[0010] Standby control module: compares the start-up coefficient with the start-up threshold, and determines whether to control the heat recovery system to enter standby mode based on the comparison result;

[0011] Data acquisition module: When the heat recovery system enters standby mode, it collects heat energy data and heat recovery system data in real time. The heat energy data includes heat generation rate and flue gas volume fluctuation coefficient, and the heat recovery system data includes heat exchange deviation index.

[0012] Secondary analysis module: When the heat recovery system is running, it generates control coefficients by comprehensively analyzing the heat energy data and the heat recovery system data.

[0013] Judgment module: compares the control coefficient with the control threshold and determines whether the heat recovery system needs to be shut down based on the control result;

[0014] Operation control module: When it is determined that the heat recovery system needs to be shut down, control the heat recovery system to stop operating.

[0015] Preferably, the primary analysis module calculates the device's heat loss rate, airflow deviation index, and power consumption index to obtain the start-up coefficient qd. x The calculation expression is:

[0016]

[0017] In the formula, QS is the heat loss rate of the device, QF is the air volume deviation index, FDZ is the power consumption index, and a1 and a2 are the proportional coefficients of the heat loss rate and air volume deviation index of the device, respectively, and both a1 and a2 are greater than 0.

[0018] Preferably, the standby control module obtains the startup coefficient qd. x After the value;

[0019] If the starting coefficient qd x If the value is greater than or equal to the start-up threshold, the standby control module controls the heat recovery system to enter standby mode;

[0020] If the starting coefficient qd x If the value is less than the start-up threshold, the standby control module will not control the heat recovery system to enter standby mode.

[0021] Preferably, the secondary analysis module obtains the control coefficient kz after comprehensively calculating the heat generation rate, flue gas volume fluctuation coefficient, and heat transfer deviation index. x The expression is:

[0022]

[0023] In the formula, RC is the heat generation rate, YL is the flue gas volume fluctuation coefficient, HP is the heat transfer deviation index, and α, β, and γ are the proportional coefficients of the heat generation rate, flue gas volume fluctuation coefficient, and heat transfer deviation index, respectively, and α, β, and γ are all greater than 0.

[0024] Preferably, the judgment module obtains the control coefficient kzx After setting the value, the control coefficient kz x Compare the value with the control threshold;

[0025] If the control coefficient kz x If the value is greater than or equal to the control threshold, it is determined that the heat recovery system does not need to be shut down.

[0026] If the control coefficient kz x If the value is less than the control threshold, it is determined that the heat recovery system needs to be shut down.

[0027] Preferably, the formula for calculating the air volume deviation index is:

[0028] QF=|Q_actual-Q_desired| / Q_desired;

[0029] QF is the airflow deviation index, Q_actual is the actual measured airflow, and Q_desired is the standard airflow.

[0030] Preferably, the formula for calculating the heat generation rate is:

[0031] RC = m * S_C;

[0032] In the formula, RC is the heat generation rate, m is the flue gas flow rate per unit time, and S_C represents the heat released per unit mass of flue gas when the temperature changes.

[0033] Preferably, the calculation expression for the flue gas volume fluctuation coefficient is as follows:

[0034]

[0035] YL is the flue gas volume fluctuation coefficient, L(t) is the real-time flue gas volume, [t x , t y [t] is the period for early warning of combustion temperature. i , t j [This refers to the period when fuel levels are monitored.]

[0036] Preferably, the logic for obtaining the combustion temperature warning period is as follows: the period when the combustion temperature is not within the standard temperature range is the period for the combustion temperature warning;

[0037] The logic for obtaining the fuel level warning period is as follows: the period when the fuel level is lower than the fuel level threshold is the period for fuel level warning.

[0038] Preferably, the calculation expression for the heat transfer deviation index is:

[0039] HP=|H_actual-H_desired| / H_desired;

[0040] In the formula, HP is the heat transfer deviation index, H_actua is the actual recovered heat, and H_desired is the standard recovered heat.

[0041] The technical effects and advantages provided by the present invention in the above technical solution are as follows:

[0042] This invention uses a standby control module to compare the start-up coefficient with the start-up threshold and determines whether to control the heat recovery system to enter standby mode based on the comparison result. A secondary analysis module, when the heat recovery system is running, comprehensively analyzes the heat energy data and the heat recovery system data to generate control coefficients. A judgment module compares the control coefficients with the control threshold and determines whether the heat recovery system needs to be shut down based on the control result. When the operation control module determines that the heat recovery system needs to be shut down, it controls the heat recovery system to stop operating. This control can determine whether the heat recovery system needs to enter standby mode during power generation and whether it still needs to be turned on during operation, thereby effectively reducing costs. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0044] Figure 1 This is a system module diagram of the present invention. Detailed Implementation

[0045] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0046] Example 1: Please refer to Figure 1 As shown in the figure, the power generation and heating control system described in this embodiment includes a monitoring module, a primary analysis module, a standby control module, a data acquisition module, a secondary analysis module, a judgment module, and an operation control module;

[0047] Monitoring module: During the heating boiler power generation process, it acquires device data and power generation data of the heating device, preprocesses the device data and power generation data and sends them to the primary analysis module;

[0048] Data storage: The collected data is stored in a database or data storage system for subsequent analysis and processing. Data storage is usually done in a time-series format to track changes in the data over time.

[0049] Data cleaning: Cleaning the collected data, including removing missing values, outliers, and noise. Cleaning data can improve the accuracy of subsequent analysis.

[0050] Data aggregation: Aggregate data as needed, such as calculating averages, maximums, minimums, or other statistical indicators, to better understand the trends and characteristics of the data.

[0051] Data transformation: Based on the analysis requirements, perform data transformation, such as standardization, normalization, or logarithmic transformation, to ensure that the data is consistent and comparable during analysis.

[0052] Feature extraction: Extracting features from the data as needed. This can include calculating derived metrics or identifying specific events or states, which helps to understand the data more deeply.

[0053] Data merging: Merging heating device data and power generation data to establish a correlation between device operation and power generation, which facilitates comprehensive analysis.

[0054] Data tagging: Adding tags or identifiers to data so that different types of data, such as device data and power generation data, can be clearly distinguished during analysis.

[0055] Primary analysis module: After comprehensively analyzing the device data and power generation data, it generates a start-up coefficient, which is then sent to the standby control module.

[0056] Standby control module: compares the start-up coefficient with the start-up threshold, and determines whether to control the heat recovery system to enter standby mode based on the comparison result. When the heat recovery system enters standby mode, it wakes up the data acquisition module.

[0057] Monitoring Startup Coefficient: The standby control module periodically monitors the system's startup coefficient. This coefficient typically reflects the system's load status, and changes in the startup coefficient indicate whether the system needs to continue operating.

[0058] Set a startup threshold: During system operation, a startup threshold is set. This threshold is usually a flag; once the startup coefficient falls below or equals this threshold, the system will enter standby mode.

[0059] Comparing the startup coefficient with the startup threshold: The standby control module compares the monitored startup coefficient with the set startup threshold. If the startup coefficient is lower than or equal to the startup threshold, it indicates that the current system load is low, and the system can enter standby mode to improve energy efficiency.

[0060] Controlling the heat recovery system: If the start-up coefficient is lower than or equal to the start-up threshold, the standby control module will send a command to the heat recovery system, requesting it to enter standby mode. This typically involves shutting down or reducing the operation of the heat recovery system.

[0061] Wake up the data acquisition module: Once the heat recovery system enters standby mode, the standby control module will wake up the data acquisition module. This is to ensure that system performance and environmental conditions can continue to be monitored even in standby mode.

[0062] Data acquisition module: When the heat recovery system enters standby mode, it collects heat energy data and heat recovery system data in real time, and sends the heat energy data and heat recovery system data to the secondary analysis module.

[0063] Secondary analysis module: When the heat recovery system is running, after comprehensively analyzing the heat energy data and the heat recovery system data, control coefficients are generated and sent to the judgment module.

[0064] Judgment module: compares the control coefficient with the control threshold, determines whether the heat recovery system needs to be shut down based on the control result, and sends the judgment result to the operation control module.

[0065] Operation control module: When it is determined that the heat recovery system needs to be shut down, the module controls the heat recovery system to stop running and sends a control message to the administrator. The administrator then performs corresponding management, including maintenance and management of the heat recovery system.

[0066] Monitoring System Status: The operation control module first needs to monitor the current status and performance parameters of the system to determine whether it is necessary to shut down the heat recovery system. This includes monitoring the system load, energy efficiency, and other indicators related to system operation.

[0067] Determine shutdown requirement: Based on the monitored system status, the operation control module determines whether the heat recovery system needs to be shut down. This could be due to the system being under low load, requiring maintenance, or other reasons.

[0068] Shutting down the heat recovery system: If it is decided to shut down the heat recovery system, the operation control module will issue a shutdown command to the system. This may involve closing relevant equipment, valves, or other components to ensure the system stops operating.

[0069] Sending a control message: Once the shutdown command is sent to the heat recovery system, the operation control module will generate a control message to notify the administrator that the system has entered the shutdown state. This message typically includes the reason for shutdown, the shutdown time, and other relevant information.

[0070] Notify Administrator: The operation control module sends control messages to administrators or operators, notifying them that the system has been shut down. This can be done via email, SMS, alarm systems, or other communication methods.

[0071] Management and Maintenance: Upon receiving a shutdown notification, the administrator can take appropriate measures to manage and maintain the system. This may include performing maintenance procedures, cleaning equipment, replacing parts, or taking other necessary measures to ensure the system's reliability and performance.

[0072] Monitoring System Recovery: After completing the management and maintenance work, the administrator needs to monitor the system recovery and ensure that the heat recovery system restarts to meet energy demands.

[0073] This application uses a monitoring module to acquire device data and power generation data of the heating device during the power generation process of the heating boiler. The device and power generation data are preprocessed. A primary analysis module comprehensively analyzes the device and power generation data to generate a start-up coefficient. A standby control module compares the start-up coefficient with a start-up threshold and determines whether to control the heat recovery system to enter standby mode based on the comparison result. A data acquisition module collects heat energy data and heat recovery system data in real time when the heat recovery system is in standby mode. A secondary analysis module generates a control coefficient after comprehensively analyzing the heat energy data and heat recovery system data when the heat recovery system is running. A judgment module compares the control coefficient with a control threshold and determines whether the heat recovery system needs to be shut down based on the control result. When the operation control module determines that the heat recovery system needs to be shut down, it controls the heat recovery system to stop operating. This control can determine whether to control the heat recovery system to enter standby mode during power generation and whether it is still necessary to keep the heat recovery system running during operation, thereby effectively reducing costs.

[0074] Example 2: During the power generation process of the heating boiler, the monitoring module acquires device data and power generation data of the heating device. The device data includes the device heat loss rate and air volume deviation index, and the power generation data includes the power generation index.

[0075] The formula for calculating the heat loss rate of the device is:

[0076] QS = U * A * ΔT;

[0077] In the formula, QS is the heat loss rate of the device, U is the heat transfer coefficient (thermal conductivity coefficient), which represents the ability of heat to be transferred from one region to another. U is greater than 0. A is the heat transfer surface area, which represents the surface area for heat transfer. ΔT is the temperature difference, which represents the temperature difference between the two regions.

[0078] A higher heat loss rate indicates that the heating device may have the following problems, which may lead to a reduction in waste heat.

[0079] Insulation material issues: Wear, aging, or damage to insulation materials can lead to a decrease in thermal insulation performance, making it easier for heat to dissipate. This may be due to quality issues with the insulation materials or natural wear and tear after prolonged use.

[0080] Insulation layer issues: Heating devices typically include an insulation layer to reduce heat loss. If the insulation layer is uneven or damaged, heat will escape, leading to an increase in the device's heat loss rate.

[0081] Incomplete seals and joints: Heat leakage is likely to occur in the seals and joints of the device. If the seals are not intact or the joints are damaged, heat will be lost through these gaps, reducing energy efficiency.

[0082] Material selection for high-temperature components: If unsuitable materials are used in some parts of the heating device, these parts may not be able to effectively insulate against high temperatures, leading to heat loss.

[0083] Uneven heat distribution: If the heat distribution inside the heating device is uneven, some areas will be too hot while other areas will be too cold, which will lead to increased heat loss.

[0084] Pipe and valve leakage: Heating devices typically include hot water or steam piping systems. If there are leaks in these pipes or valves, heat will be lost during transport.

[0085] Reduced heat transfer surface area: If the heat transfer surface area decreases, for example due to corrosion or the formation of deposits, heat loss will increase.

[0086] The formula for calculating the air volume deviation index is:

[0087] QF=|Q_actual-Q_desired| / Q_desired;

[0088] QF is the airflow deviation index, Q_actual is the actual measured airflow, and Q_desired is the standard airflow. The larger the airflow deviation index, the more the actual airflow of the heating device deviates from the standard airflow, which can lead to the following problems:

[0089] Temperature instability: If the actual air volume is too low, it may lead to temperature instability, that is, the heating device is unable to maintain the required temperature level, which may cause problems for the production process or heating application, especially when precise temperature control is required.

[0090] Energy waste: If the actual airflow is too high, the device will consume more energy to maintain the excessively high temperature, resulting in energy waste and additional energy costs. Conversely, if the actual airflow is too low, energy will also be wasted because the heating system will need more time to reach the required temperature.

[0091] Product quality issues: Deviations in actual airflow during processing, manufacturing, or baking may lead to product quality issues. For example, excessively high or low temperatures may cause product deterioration or unevenness when baking food or coatings.

[0092] Safety issues: Airflow deviations can lead to safety problems. If the airflow is too high, it can cause instability in the heat source, potentially leading to fire or other hazards. Conversely, if the airflow is too low, the heat source may not be sufficient to support certain applications, which could also cause safety problems.

[0093] Component damage: Airflow deviations can adversely affect critical components of the device. For example, excessive airflow may cause the equipment to wear out faster, while insufficient airflow may cause the equipment to overheat and be damaged.

[0094] Decreased production efficiency: Airflow deviations can lead to decreased production efficiency, as excessively high or low airflow can affect the speed and consistency of the heating process.

[0095] The logic for obtaining the power generation index is as follows:

[0096] The amount of electricity generated indicates the amount of waste heat generated. The greater the electricity generation, the more waste heat is generated, and the more the heat recovery system needs to be activated to recover the waste heat. In order to make electricity generation the main factor, when the electricity generation is greater than or equal to the electricity generation threshold, the electricity generation index FDZ = 1, and when the electricity generation is less than the electricity generation threshold, the electricity generation index FDZ = 0.

[0097] After comprehensively analyzing the device data and power generation data, the primary analysis module generates a start-up coefficient, specifically:

[0098] The initial analysis module calculates the device's heat loss rate, airflow deviation index, and power consumption index to obtain the start-up coefficient qd. x The calculation expression is:

[0099]

[0100] In the formula, QS is the heat loss rate of the device, QF is the air volume deviation index, FDZ is the power consumption index, and a1 and a2 are the proportional coefficients of the heat loss rate and air volume deviation index of the device, respectively, and both a1 and a2 are greater than 0.

[0101] The standby control module compares the start-up coefficient with the start-up threshold, and determines whether to control the heat recovery system to enter standby mode based on the comparison result. Specifically:

[0102] Based on the starting coefficient qd x From the calculation expression, we can see that the starting coefficient qd x The higher the value, the more waste heat there is, and therefore the more necessary it is to start the heat recovery system.

[0103] The standby control module obtains the startup coefficient qd x After the value is set, if the start-up coefficient qdx value is greater than or equal to the start-up threshold, the standby control module controls the heat recovery system to enter the standby state.

[0104] If the starting coefficient qd x If the value is less than the start-up threshold, the standby control module will not control the heat recovery system to enter standby mode.

[0105] When the heat recovery system enters standby mode, the data acquisition module collects heat energy data and heat recovery system data in real time. The heat energy data includes heat generation rate and flue gas volume fluctuation coefficient, and the heat recovery system data includes heat exchange deviation index.

[0106] The formula for calculating the heat production rate is:

[0107] RC = m * S_C;

[0108] In the formula, RC is the heat generation rate, m is the flue gas flow rate per unit time, and S_C represents the heat released per unit mass of flue gas when the temperature changes.

[0109] The higher the heat generation rate, the more worthwhile it is to recover the waste heat generated during the power generation process. Specifically:

[0110] High energy efficiency: A high heat generation rate indicates that a relatively large amount of heat is generated during the power generation process. By recovering this excess heat, you can improve energy efficiency, reduce energy waste, and thus lower energy costs.

[0111] Reducing environmental impact: Waste heat recovery helps reduce waste heat emissions into the environment, thus reducing negative environmental impacts, which is crucial for sustainable development and environmental protection;

[0112] Energy cost savings: By recovering waste heat, you can reduce additional energy consumption, thereby lowering energy costs, which is very important for energy conservation and cost control in business and industrial processes;

[0113] Improving system efficiency: Using waste heat for other purposes, such as heating water, generating electricity, air conditioning, or other processes, can improve the overall efficiency of the system, which helps to maximize the use of available resources;

[0114] Multi-purpose applications: The high heat generation rate allows waste heat to be used in a variety of applications, including heating, cooling, and power generation. This versatility increases the attractiveness of waste heat recovery.

[0115] Increased capacity: Waste heat recovery can increase the overall capacity of a power generation system because it increases the available energy input, which is especially important for energy-intensive industries and power plants.

[0116] The formula for calculating the flue gas volume fluctuation coefficient is as follows:

[0117]

[0118] YL is the flue gas volume fluctuation coefficient, L(t) is the real-time flue gas volume, [t x , t y [t] is the period for early warning of combustion temperature. i , t j [This refers to the period for fuel quantity warnings;]

[0119] The logic for obtaining the combustion temperature warning period is as follows: The combustion temperature affects the amount and composition of flue gas. When the combustion temperature is too high or too low, it will affect the amount of flue gas. Therefore, the period when the combustion temperature is not within the standard temperature range is the period for combustion temperature warning. At this time, the amount of flue gas will decrease, which is not conducive to waste heat recovery.

[0120] The logic for obtaining the fuel quantity warning period is as follows: when the fuel quantity in the heating device is too low, it will lead to a decrease in flue gas volume, which is not conducive to waste heat recovery. Therefore, the period when the fuel quantity is lower than the fuel quantity threshold is the fuel quantity warning period.

[0121] Insufficient flue gas volume will lead to poor waste heat exchange efficiency, specifically:

[0122] Insufficient heat transfer surface: When the flue gas volume is insufficient, the flue gas may flow for a shorter time in the heat exchanger, resulting in a reduced contact time between waste heat and the heat transfer surface. This limits the transfer and exchange of heat, thereby reducing the effective recovery of waste heat.

[0123] Reduced temperature difference: The effectiveness of waste heat exchange usually depends on the temperature difference between the waste heat source and the cooling medium. When the flue gas volume is insufficient, the temperature of the waste heat may not have a chance to drop sufficiently, thus reducing the temperature difference and reducing the efficiency of waste heat exchange.

[0124] Reduced flue gas velocity: Insufficient flue gas volume may lead to a decrease in the flue gas velocity in the heat exchanger, which will cause the flue gas to stagnate inside the heat exchanger and reduce the heat transfer efficiency.

[0125] Condensation and ash accumulation: Moisture and solid particles in flue gas may condense or deposit in waste heat exchange equipment. These condensation and ash accumulation problems may be more pronounced when the flue gas volume is insufficient, reducing the availability of heat exchange surfaces.

[0126] Performance degradation of recovery equipment: Waste heat recovery equipment is usually designed for a specific range of flue gas flow rates. If the flue gas flow rate is lower than the design value, these devices may not function properly, resulting in performance degradation.

[0127] Mechanical frustration: Insufficient flue gas volume may lead to unstable flow and may even cause mechanical frustration inside the equipment, which may damage the equipment and further reduce the heat exchange effect.

[0128] The formula for calculating the heat transfer deviation index is:

[0129] HP=|H_actual-H_desired| / H_desired;

[0130] In the formula, HP is the heat transfer deviation index, H_actua is the actual recovered heat, and H_desired is the standard recovered heat;

[0131] A higher heat transfer deviation index indicates the following problems with the heat recovery system, making it less supportive of waste heat recovery. In such cases, the heat recovery system needs to be shut down to prevent system failure:

[0132] Inefficiency: A high heat transfer deviation index indicates that the heat recovery system has failed to effectively recover waste heat, resulting in energy loss. This may indicate a decline in the performance of the recovery equipment or heat exchanger, or insufficient heat transfer.

[0133] Equipment issues: A high heat transfer deviation index may indicate mechanical problems, contamination, or damage to the recovery equipment or heat exchanger, which may require repair or replacement of the equipment to ensure the reliability of the system;

[0134] Control issues: Problems with system control may lead to increased heat transfer deviations. Inappropriate control parameter settings or system control failures may require adjustment and repair.

[0135] Energy waste: A high heat transfer deviation index indicates that the heat recovery system is not making full use of available waste heat, which leads to energy waste. Shutting down the system may be an economically reasonable option, especially when the cost of recovering waste heat is higher than the cost of energy.

[0136] Maintenance requirements: Higher heat transfer deviations may indicate that the recovery system requires more frequent maintenance and upkeep to ensure its proper functioning. If maintenance costs are too high, the feasibility of the system may need to be reassessed.

[0137] Safety issues: In some cases, a decline in system performance may lead to safety problems, such as leaks in the heat exchanger or an unstable heat source. Shutting down the system may be a safety measure.

[0138] When the heat recovery system is running, the secondary analysis module generates control coefficients after comprehensively analyzing the heat energy data and the heat recovery system data.

[0139] The secondary analysis module calculates the heat generation rate, flue gas volume fluctuation coefficient, and heat transfer deviation index to obtain the control coefficient kz. xThe expression is:

[0140]

[0141] In the formula, RC is the heat generation rate, YL is the flue gas volume fluctuation coefficient, HP is the heat transfer deviation index, and α, β, and γ are the proportional coefficients of the heat generation rate, flue gas volume fluctuation coefficient, and heat transfer deviation index, respectively, and α, β, and γ are all greater than 0.

[0142] The judgment module compares the control coefficient with the control threshold and determines whether the heat recovery system needs to be shut down based on the control result.

[0143] The judgment module obtains the control coefficient kz x After setting the value, the control coefficient kz x Compare the value with the control threshold;

[0144] If the control coefficient kz x If the value is greater than or equal to the control threshold, it is determined that the heat recovery system does not need to be shut down.

[0145] If the control coefficient kz x If the value is less than the control threshold, it is determined that the heat recovery system needs to be shut down.

[0146] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0147] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.

[0148] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0149] In this application, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or multiple items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0150] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0151] Those skilled in the art will recognize that the units and algorithm steps of the various examples 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 implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0152] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0153] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0154] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0155] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0156] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0157] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A power generation and heating control system, characterized in that: It includes a monitoring module, a primary analysis module, a standby control module, a data acquisition module, a secondary analysis module, a judgment module, and an operation control module; Monitoring module: During the heating boiler power generation process, it acquires device data and power generation data of the heating device. The device data includes the device heat loss rate and air volume deviation index, and the power generation data includes the power generation index. The device data and power generation data are preprocessed. Primary analysis module: After comprehensively analyzing device data and power generation data, it generates start-up coefficients; Standby control module: compares the start-up coefficient with the start-up threshold, and determines whether to control the heat recovery system to enter standby mode based on the comparison result; Data acquisition module: When the heat recovery system enters standby mode, it collects heat energy data and heat recovery system data in real time. The heat energy data includes heat generation rate and flue gas volume fluctuation coefficient, and the heat recovery system data includes heat exchange deviation index. Secondary analysis module: When the heat recovery system is running, it generates control coefficients by comprehensively analyzing the heat energy data and the heat recovery system data. Judgment module: compares the control coefficient with the control threshold and determines whether the heat recovery system needs to be shut down based on the control result; Operation control module: When it is determined that the heat recovery system needs to be shut down, control the heat recovery system to stop operating.

2. The power generation and heating control system according to claim 1, characterized in that: The primary analysis module calculates the device's heat loss rate, airflow deviation index, and power consumption index to obtain the start-up coefficient qd. x The calculation expression is: In the formula, QS is the heat loss rate of the device, QF is the air volume deviation index, FDZ is the power consumption index, and a1 and a2 are the proportional coefficients of the heat loss rate and air volume deviation index of the device, respectively, and both a1 and a2 are greater than 0.

3. The power generation and heating control system according to claim 2, characterized in that: The standby control module obtains the start-up coefficient qd. x After the value; If the starting coefficient qd x If the value is greater than or equal to the start-up threshold, the standby control module controls the heat recovery system to enter standby mode; If the starting coefficient qd x If the value is less than the start-up threshold, the standby control module will not control the heat recovery system to enter standby mode.

4. The power generation and heating control system according to claim 1, characterized in that: The secondary analysis module calculates the heat generation rate, flue gas volume fluctuation coefficient, and heat transfer deviation index to obtain the control coefficient kz. x The expression is: In the formula, RC is the heat generation rate, YL is the flue gas volume fluctuation coefficient, HP is the heat transfer deviation index, and α, β, and γ are the proportional coefficients of the heat generation rate, flue gas volume fluctuation coefficient, and heat transfer deviation index, respectively, and α, β, and γ are all greater than 0.

5. A power generation and heating control system according to claim 4, characterized in that: The judgment module obtains the control coefficient kz x After setting the value, the control coefficient kz x Compare the value with the control threshold; If the control coefficient kz x If the value is greater than or equal to the control threshold, it is determined that the heat recovery system does not need to be shut down. If the control coefficient kz x If the value is less than the control threshold, it is determined that the heat recovery system needs to be shut down.

6. The power generation and heating control system according to claim 2, characterized in that: The formula for calculating the airflow deviation index is as follows: QF=|Q_actual-Q_desired| / Q_desired; QF is the airflow deviation index, Q_actual is the actual measured airflow, and Q_desired is the standard airflow.

7. A power generation and heating control system according to claim 4, characterized in that: The formula for calculating the heat generation rate is as follows: RC = m * S_C; In the formula, RC is the heat generation rate, m is the flue gas flow rate per unit time, and S_C represents the heat released per unit mass of flue gas when the temperature changes.

8. A power generation and heating control system according to claim 4, characterized in that: The formula for calculating the flue gas volume fluctuation coefficient is as follows: YL is the flue gas volume fluctuation coefficient, L(t) is the real-time flue gas volume, [t x , t y [t] represents the period for combustion temperature warning. i , t j [This refers to the period when fuel levels are monitored.] 9. A power generation and heating control system according to claim 8, characterized in that: The logic for obtaining the combustion temperature warning period is as follows: the period when the combustion temperature is not within the standard temperature range is the period for the combustion temperature warning. The logic for obtaining the fuel level warning period is as follows: the period when the fuel level is lower than the fuel level threshold is the period for fuel level warning.

10. A power generation and heating control system according to claim 4, characterized in that: The formula for calculating the heat transfer deviation index is: HP=|H_actual-H_desired| / H_desired; In the formula, HP is the heat transfer deviation index, H_actua is the actual recovered heat, and H_desired is the standard recovered heat.

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