Desuperheater outlet soft measurement control method, system, equipment and medium

Abstract

The invention discloses a desuperheater outlet soft measurement control method, system, equipment and medium, and relates to the technical field of temperature measurement, and the method comprises the steps: carrying out the fault judgment of a desuperheater outlet temperature measurement element, activating a soft measurement sensing array, calculating the specific enthalpy and temperature of outlet steam through a thermodynamic temperature calculation model, and calculating the temperature of the outlet steam. In combination with a heat balance water flow backstepping model, the real-time safety state of the boiler is evaluated by inputting demand setting and data screening, dynamically calculating the real-time desuperheating water flow and comprehensively analyzing the outlet steam temperature and the desuperheating water flow, and a result is packaged and sent to a boiler operation and maintenance center. The technical problem that in the prior art, when a temperature measuring element or a flow meter breaks down, a desuperheater system cannot be accurately monitored, regulated and controlled in real time, and the safety and stability of a boiler system are affected is solved, and the technical effects that the real-time performance and accuracy of data monitoring of the desuperheater system are guaranteed, and the safety and stability of the boiler system are improved are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature measurement, and in particular to a method, system, equipment and medium for soft measurement control of a desuperheater outlet. Background Art

[0002] During boiler operation, the desuperheater is an important device for controlling steam temperature. It mainly reduces the temperature of superheated steam and reheated steam by injecting desuperheating water to ensure that the steam temperature is stable within the safe operating range and prevent the superheater and reheater tube walls from being damaged due to excessive temperature. However, traditional desuperheater outlet temperature measurement and desuperheating water flow monitoring rely on direct measurement by temperature measuring elements and flow meters, but such equipment is prone to failure, error drift or data loss during long-term operation, resulting in inaccurate measurement results, thus affecting the safe and stable operation of the boiler.

[0003] In the prior art, when a temperature measuring element or flow meter fails, there is a lack of effective alternative means, and it is impossible to monitor the outlet steam temperature and cooling water flow in real time, which can easily lead to problems such as steam temperature exceeding the limit, equipment overheating, or inaccurate cooling water regulation. This situation not only increases the risk of equipment damage, but may also cause system shutdown, affecting the economic benefits and operational safety of the power plant. In addition, the traditional measurement method lacks adaptive adjustment and fault prediction mechanisms for data anomalies, and cannot achieve comprehensive analysis and dynamic optimization and regulation of system status. Summary of the invention

[0004] The present application provides a desuperheater outlet soft measurement control method, system, equipment and medium, which are used to solve the technical problem that the prior art cannot monitor and control the desuperheater system in real time and accurately when the temperature measuring element or flow meter fails, affecting the safety and stability of the boiler system.

[0005] The first aspect of the present application provides a soft measurement control method for a desuperheater outlet, the method comprising: pre-constructing a thermodynamic temperature estimation model; performing fault judgment on a temperature measuring element disposed at the outlet of a target desuperheater, and activating a soft measurement sensor array if the temperature measuring element is in an abnormal state; after receiving soft measurement input parameters returned by the soft measurement sensor array, loading the soft measurement input parameters into the thermodynamic temperature estimation model to obtain the desuperheater outlet steam specific enthalpy and the outlet steam Celsius temperature; pre-constructing a thermal balance water flow inversion model, wherein the thermal balance water flow inversion model has an input demand setting; after data screening of the soft measurement input parameters according to the input demand setting, loading the screening results and the desuperheater outlet steam specific enthalpy into the thermal balance water flow inversion model through a data processing chain to obtain a real-time desuperheating water flow; comprehensively analyzing the outlet steam Celsius temperature and the real-time desuperheating water flow to obtain the real-time safety status of the boiler, and packaging the real-time safety status of the boiler and sending it to a boiler operation and maintenance center.

[0006] According to a second aspect of the present application, a soft measurement control system for a desuperheater outlet is provided, the system comprising: a temperature estimation model construction module, the temperature estimation model construction module is used to pre-build a thermodynamic temperature estimation model; a fault judgment module, the fault judgment module is used to perform fault judgment on a temperature measuring element configured at the outlet of a target desuperheater, and if the temperature measuring element is in an abnormal state, the soft measurement sensor array is activated; a thermodynamic temperature estimation module, the thermodynamic temperature estimation module is used to load the soft measurement input parameters into the thermodynamic temperature estimation model after receiving the soft measurement input parameters returned by the soft measurement sensor array, and obtain the desuperheater outlet steam specific enthalpy and outlet steam Celsius temperature; a water flow inverse model construction module, The water flow inverse model construction module is used to pre-construct a heat balance water flow inverse model, wherein the heat balance water flow inverse model has an input demand setting; a real-time cooling water flow generation module, wherein the real-time cooling water flow generation module is used to perform data screening on the soft measurement input parameters according to the input demand setting, and then load the screening results and the desuperheater outlet steam specific enthalpy into the heat balance water flow inverse model through a data processing chain to obtain the real-time cooling water flow; a boiler safety status analysis module, wherein the boiler safety status analysis module is used to comprehensively analyze the outlet steam Celsius temperature and the real-time cooling water flow to obtain the real-time safety status of the boiler, and package the real-time safety status of the boiler and send it to the boiler operation and maintenance center.

[0007] In a third aspect, the present application provides an electronic device, comprising: a processor, the processor is coupled to a memory, the memory is used to store a program, when the program is executed by the processor, the system executes any one of the methods described in the first aspect.

[0008] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and the computer program implements the method of the first aspect when executed by a processor.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] The present application provides a desuperheater outlet soft measurement control method, system, equipment and medium, which relates to the field of temperature measurement technology. The soft measurement sensor array is activated by fault judgment, and the outlet steam specific enthalpy and temperature are calculated using a thermodynamic temperature calculation model. The real-time desuperheating water flow is dynamically calculated in combination with a heat balance water flow inversion model. The steam temperature and water flow are comprehensively analyzed to evaluate the real-time safety status of the boiler, and the results are sent to the operation and maintenance center to achieve accurate data monitoring and system safety management. The technical problem that the existing technology cannot monitor and control the desuperheater system in real time and accurately when the temperature measuring element or flow meter fails, which affects the safety and stability of the boiler system, is solved, and the real-time and accuracy of the desuperheater system data monitoring is guaranteed, and the technical effect of improving the safety and stability of the boiler system is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0012] Figure 1 A schematic flow chart of a method for soft-measurement control of a desuperheater outlet provided in an embodiment of the present application;

[0013] Figure 2 A schematic diagram of the structure of a desuperheater outlet soft measurement control system provided in an embodiment of the present application;

[0014] Figure 3 A structural schematic diagram of an electronic device is provided for the present application.

[0015] Explanation of the reference numerals: temperature estimation model building module 11, fault judgment module 12, thermodynamic temperature estimation module 13, water flow reverse model building module 14, real-time cooling water flow generation module 15, boiler safety status analysis module 16, electronic device 300, memory 301, processor 302, communication interface 303, bus architecture 304. DETAILED DESCRIPTION

[0016] The present application provides a desuperheater outlet soft measurement control method, system, equipment and medium, which are used to solve the technical problem that the prior art cannot monitor and control the desuperheater system in real time and accurately when the temperature measuring element or flow meter fails, affecting the safety and stability of the boiler system.

[0017] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0018] It should be noted that the terms "first", "second", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices.

[0019] Embodiment 1, as Figure 1 As shown, the present application provides a desuperheater outlet soft measurement control method, the method comprising:

[0020] P10: Pre-build thermodynamic temperature estimation model.

[0021] Furthermore, step P10 of the embodiment of the present application further includes:

[0022] P11: Pre-build the desuperheater outlet temperature formula, which is as follows:

[0023] ; ; ; in, is the specific enthalpy of steam at the desuperheater outlet, is the specific enthalpy of steam before the desuperheater, is the specific enthalpy of desuperheated water, is the steam flow rate, is the total amount of superheated desuperheating water, is the amount of superheated desuperheating water, is the split coefficient, is the number of desuperheaters at the same level, is the outlet steam temperature in degrees Celsius, is the absolute temperature of the outlet steam, is the outlet steam pressure; P12: based on the desuperheater outlet temperature formula, construct and generate the thermodynamic temperature estimation model.

[0024] It should be understood that firstly, by pre-building a thermodynamic temperature estimation model, a foundation is laid for realizing accurate soft measurement of the desuperheater outlet temperature.

[0025] Specifically, to calculate the temperature of the desuperheater outlet steam, it is necessary to pre-construct the desuperheater outlet temperature formula: , ,in, is the specific enthalpy of the steam at the desuperheater outlet, which represents the energy per unit mass of the steam at the outlet. It is the specific enthalpy of steam before the desuperheater, which is related to the pressure and temperature before the desuperheater. is the specific enthalpy of desuperheating water, which is related to the pressure and temperature parameters of desuperheating water. is the steam flow rate, reflecting the total amount of steam entering the desuperheater, is the total amount of superheated desuperheating water, used to cool superheated steam. It is the amount of superheated desuperheating water used for a specific level of desuperheating operation. is the flow splitting coefficient, which indicates the distribution ratio of steam flow in the desuperheaters of the same level. is the number of desuperheaters of the same level, which is used to measure the balance of steam flow distribution. Through the above formula, the outlet steam specific enthalpy of the desuperheater can be calculated based on the steam enthalpy value and the desuperheating water enthalpy value, taking into account the steam flow rate and the distribution of desuperheating water. .

[0026] Among them, the

[0043] (Superheat and Desuperheat Water Flow) is an assumed preliminary flow value, which may be a fixed value set based on historical data, equipment standards, or conventional design flow, and is used as an input for the outlet temperature calculation.

[0027] Furthermore, based on thermodynamic relationships, the outlet steam temperature can be calculated using the following formula: ;in, is the outlet steam temperature in degrees Celsius, which is obtained by inverse calculation of the outlet steam specific enthalpy and outlet pressure. is the outlet steam absolute temperature, obtained by converting the absolute temperature to 273.15. is the outlet steam pressure, which is the actual pressure value at the outlet of the desuperheater.

[0028] Based on the above outlet temperature formula, combined with input parameters such as steam pressure and temperature before the desuperheater, desuperheating water parameters, and flow distribution coefficient, a thermodynamic temperature estimation model is constructed. During the construction process, the model can use standard thermodynamic equations (such as the IAPWS-IF97 steam table inverse formula) to ensure the physical consistency and calculation accuracy of the results. In addition, the model supports dynamic input and real-time updates, and has good engineering adaptability and application value. The model will receive steam and desuperheating water parameters, including pressure, temperature, and flow, and calculate the steam specific enthalpy and temperature at the desuperheater outlet through the pre-built outlet temperature formula. The model takes into account multiple factors such as steam enthalpy, desuperheating water enthalpy, and flow distribution, which can ensure the accuracy and stability of the estimated results.

[0029] P20: Perform fault judgment on the temperature measuring element configured at the outlet of the target desuperheater. If the state of the temperature measuring element is abnormal, activate the soft measurement sensor array.

[0030] Furthermore, step P20 of the embodiment of the present application further includes:

[0031] P21: Perform sensor requirement analysis based on the input indicators of the desuperheater outlet temperature formula to obtain sensor requirement information, wherein the sensor requirement information includes sensor type information and detection indicator type information; P22: Locate the target desuperheater to obtain an installation location information set based on the detection indicator type information; P23: After performing a sensor entity call based on the sensor type information, perform sensor entity installation and communication link construction on the target desuperheater based on the installation location information set to complete the construction of the soft measurement sensor array; P24: After determining that the state of the temperature measuring element is abnormal, activate the soft measurement sensor array.

[0032] Optionally, real-time fault judgment is performed on the temperature measuring element configured at the outlet of the target desuperheater. If the state of the temperature measuring element is detected to be abnormal, the soft measurement sensor array is automatically triggered and activated to ensure accurate monitoring of the desuperheater outlet temperature and the continuity of subsequent measurement processes.

[0033] First, according to the input indicators in the desuperheater outlet temperature formula, the sensor demand analysis is carried out to clarify the sensor types and detection indicators required for soft measurement. The sensor demand information includes two parts: sensor type information and detection indicator type information. Among them, the sensor type information mainly includes temperature sensors, pressure sensors and flow sensors, which are used to collect the pressure, temperature, flow and other parameters of steam and desuperheating water before and after the desuperheater; the detection indicator type information covers the physical parameters required for steam specific enthalpy calculation, such as steam flow, total desuperheating water and desuperheating water temperature. Through sensor demand analysis, the system can accurately determine the data source required for soft measurement and provide technical support for subsequent sensor installation and data acquisition.

[0034] Next, based on the detection index type information, the target desuperheater is physically located to generate an installation location information set. This information set includes the specific installation coordinates and optimal installation points of various sensors to ensure that the sensors can be accurately deployed at important monitoring locations of the desuperheater. For example, temperature sensors will be deployed at the steam inlet and outlet of the desuperheater to monitor the temperatures before and after the desuperheater respectively; pressure sensors will be installed at the outlet to collect steam pressure data; flow sensors will be deployed in the desuperheating water inflow pipe to obtain desuperheating water flow data. The precise positioning of the installation location information lays the foundation for the construction of the soft measurement sensor array and ensures the effectiveness and accuracy of data acquisition.

[0035] For example, the specific enthalpy of steam before the desuperheater is and specific enthalpy of desuperheated water The acquisition of enthalpy of steam before the desuperheater is the key to ensure the normal operation of the soft sensor array. Specifically, it includes the clear configuration of sensor type and installation location to ensure the accuracy and continuity of data acquisition. , the required sensors include steam temperature sensors and steam pressure sensors. These sensors are usually deployed at the steam inlet before the desuperheater to accurately capture the temperature and pressure parameters of the steam before entering the desuperheater. These data are obtained by looking up the table or calculating the specific enthalpy of steam, providing the basic input for the subsequent thermodynamic temperature calculation. The sensors required include desuperheating water temperature sensor and desuperheating water pressure sensor. These sensors are usually installed at the desuperheating water inlet of the desuperheater to ensure that the temperature and pressure of the desuperheating water before entering the desuperheater can be measured. The specific enthalpy of the desuperheating water is determined by these parameters and serves as an important input data for the water flow participating in the heat exchange process.

[0036] Furthermore, according to the sensor type information and installation location information set, the sensor entity is called and the soft measurement sensor array is constructed. First, the required high-precision temperature sensors, pressure sensors, and flow sensors are called from the sensor resource library to ensure that the performance of these sensors meets the input requirements of the soft measurement model. Secondly, according to the coordinates of the installation location information set, the sensors are accurately installed at the specified position of the desuperheater to ensure that each sensor can collect target data normally. At the same time, a communication link is constructed between the sensor and the data processing unit, and a complete soft measurement sensor array is formed through real-time data transmission and feedback.

[0037] When the system confirms that the temperature measuring element is in an abnormal state, it automatically activates the constructed soft measurement sensor array. After activation, the sensor array begins to collect key parameters in the operation of the desuperheater in real time, including the pressure and temperature of the steam before the desuperheater, the temperature and flow of the desuperheating water, and the pressure of the outlet steam. Through the activation and data calculation of the soft measurement sensor array, the system can continue to provide accurate outlet temperature data in the event of a temperature measuring element failure, ensuring the safety and stability of the desuperheater operation.

[0038] P30: After receiving the soft measurement input parameters sent back by the soft measurement sensor array, the soft measurement input parameters are loaded into the thermodynamic temperature estimation model to obtain the outlet steam specific enthalpy and outlet steam temperature in degrees Celsius of the desuperheater.

[0039] Specifically, after the system receives the soft measurement input parameters transmitted by the soft measurement sensor array, it queries the steam table based on the temperature and pressure to obtain the corresponding specific enthalpy of the steam before the desuperheater, and loads the enthalpy value as input data into the thermodynamic temperature estimation model to accurately calculate the specific enthalpy and Celsius temperature of the steam at the desuperheater outlet. Through this step, the system can realize the soft measurement replacement of temperature when the temperature measuring element fails, ensuring the accuracy and continuity of the desuperheater operating parameters.

[0040] First, the soft measurement input parameters include multiple key data collected in real time from the soft measurement sensor array, including the steam pressure and temperature before the desuperheater, which are used to look up the table to obtain the specific enthalpy of steam before the desuperheater. This value reflects the energy state of steam before entering the desuperheater. The temperature and flow rate of the desuperheating water. The specific enthalpy of the desuperheating water is calculated by the temperature and pressure of the desuperheating water. This is an important parameter for the participation of desuperheating water in cooling steam. The total steam flow rate and the diversion coefficient. The total steam flow rate represents the steam mass flow rate at the desuperheater inlet, and the diversion coefficient is used to balance the flow distribution between multi-stage desuperheaters. The total amount of superheated desuperheating water and the amount of desuperheating water. These parameters reflect the actual participation of desuperheating water in the steam cooling process.

[0041] Subsequently, these soft-sensor input parameters are loaded into the thermodynamic temperature estimation model. According to the heat balance principle, the specific enthalpy of the desuperheater outlet steam is first calculated: In this formula, the specific enthalpy of steam before the desuperheater and the specific enthalpy of desuperheating water are obtained by soft measurement parameters combined with temperature and pressure table lookup; the steam flow rate and desuperheating water volume are directly collected by sensors, thereby ensuring the accuracy and real-time performance of the model input.

[0042] By calculating the specific enthalpy of the outlet steam, the absolute temperature of the outlet steam is further inferred based on the thermodynamic state equation and converted to Celsius temperature using the following formula:

[0043] ; In the above formula, the absolute temperature of the outlet steam is is the specific enthalpy of steam and outlet pressure The inverse is obtained, among which, Collected by sensors in real time. Celsius temperature The temperature state of the outlet steam is intuitively represented by converting from the absolute temperature minus 273.15.

[0044] Finally, the thermodynamic temperature estimation model accurately outputs the specific enthalpy and Celsius temperature of the desuperheater outlet steam, and the calculation results can be used as real-time monitoring data to replace the output of the faulty temperature measuring element. The dynamic input and real-time calculation characteristics of the model ensure that the desuperheater outlet temperature can still be monitored with high precision even when the temperature sensor is abnormal, thereby ensuring the stable operation and safety of the boiler system.

[0045] P40: Pre-construct a thermal balance water flow inverse model, wherein the thermal balance water flow inverse model has an input demand setting.

[0046] Furthermore, step P40 of the embodiment of the present application also includes:

[0047] P41: Pre-construct the cooling water flow formula, which is as follows:

[0048] ;in, is the real-time cooling water flow rate; P42: extracting the input index of the cooling water flow rate formula, and generating the input demand setting based on the extraction result; P43: constructing and generating the thermal balance water flow inverse model based on the cooling water flow rate formula; P44: loading the input demand setting to the input end of the thermal balance water flow inverse model.

[0049] It should be understood that in order to achieve accurate reverse calculation of the real-time cooling water flow at the desuperheater outlet, the system pre-builds a thermal balance water flow reverse calculation model. Through the collaborative calculation of the thermal balance principle and real-time input data, the accurate value of the cooling water flow is dynamically obtained, thereby ensuring that the operating state of the desuperheater is stable and controllable.

[0050] First, the cooling water flow formula is pre-constructed, and the mathematical relationship of the real-time cooling water flow is derived based on the heat balance equation. The specific formula is as follows:

[0051] ;in, The real-time desuperheating water flow rate is the target result required for heat balance calculation; The specific enthalpy of the steam before the desuperheater is given by the temperature before the desuperheater. and pressure Sure; The specific enthalpy of the steam at the outlet of the desuperheater is given by the pressure of the steam at the outlet. and temperature Calculated; is the specific enthalpy of the desuperheating water, which is obtained by looking up the desuperheating water temperature and pressure table; and They are the total steam flow and the total amount of superheated desuperheating water, representing the flow relationship of desuperheating water participating in the cooling process.

[0052] Based on the desuperheating water flow formula, the input index extraction is carried out, and the various parameters involved in the formula are refined and identified to extract the real-time indicators required for calculation. The input indicators mainly include direct measurement indicators, such as steam pressure and temperature before the desuperheater, desuperheating water temperature and pressure, and total steam flow. Calculation generates indicators, such as outlet steam specific enthalpy, which is obtained by dynamic inversion of outlet pressure and temperature. After extracting the input indicators, these indicators are classified and processed, and a complete input demand setting is formed to ensure the data integrity and effectiveness of subsequent model calculations.

[0053] Furthermore, based on the pre-built desuperheating water flow formula, a heat balance water flow inversion model is generated. This model is based on the principle of heat balance, and dynamically inverts the desuperheating water flow by receiving various index parameters in the input demand setting in real time. Then, the input demand setting is loaded to the input end of the heat balance water flow inversion model, and real-time data interaction is carried out with the soft measurement sensor array through the communication link. Specifically, first, the steam parameters before the desuperheater, the desuperheating water parameters (temperature and pressure) and the outlet steam parameters are received, and then the real-time flow is inverted using the heat balance relationship based on the received data, and finally the real-time desuperheating water flow is obtained, and the calculation results are fed back to the system control module as the core control basis for the desuperheater operation status. This model combines the heat balance principle with real-time input data, ensures the physical accuracy and engineering feasibility of the flow calculation, and provides stable and efficient operation guarantee for the desuperheater system.

[0054] P50: After data screening of the soft measurement input parameters according to the input requirement setting, the screening results and the specific enthalpy of the desuperheater outlet steam are loaded into the heat balance water flow inverse model through the data processing chain to obtain the real-time desuperheating water flow.

[0055] Specifically, in order to ensure that the calculation of the desuperheating water flow rate is accurate and meets the real-time operation requirements, the soft measurement input parameters are screened based on the input demand settings generated in the early stage, and the screened data and the desuperheater outlet steam specific enthalpy are loaded into the heat balance water flow inverse model through the data processing chain, and finally the accurate real-time desuperheating water flow rate is obtained.

[0056] First, according to the input requirement settings, the soft measurement input parameters transmitted back by the soft measurement sensor array are comprehensively screened. These input parameters include the temperature and pressure of the steam before the desuperheater, the temperature and pressure of the desuperheating water, the total steam flow, the amount of superheated desuperheating water, and the temperature and pressure of the steam at the desuperheater outlet. Exemplarily, the collected temperature, pressure, and flow data are screened through the preset upper and lower limits to eliminate abnormal data that exceeds the normal operating range. The real-time collected data is compared with the historical operation data of the equipment to detect abnormal points of data fluctuations and smooth them. For occasional missing collected data, interpolation or prediction algorithms are used to fill in the missing values ​​to ensure the integrity and continuity of the input parameters.

[0057] After the data screening is completed, the screened soft-sensor input parameters are loaded into the data processing chain together with the desuperheater outlet steam specific enthalpy calculated by the thermodynamic temperature estimation model. The data processing chain is the data flow transmission mechanism within the system, which is responsible for transmitting the screened parameter data step by step to the input end of the heat balance water flow inverse model according to the established calculation logic. This data processing method can effectively improve the data transmission efficiency, ensure that the model receives high-quality and accurate input data, and avoid deviations in calculation results due to data redundancy or anomalies.

[0058] Then, with the support of the data processing chain, the system loads the screened soft-sensor input parameters and the specific enthalpy of steam at the desuperheater outlet into the heat balance water flow inverse model. The heat balance water flow inverse model is based on the input steam and desuperheater water specific enthalpy, flow and other parameters, and performs real-time flow calculation using the desuperheater water flow formula:

[0059] ;

[0060] Through calculation, the cooling water flow rate is output in real time The calculation results are fed back to the boiler system control module to achieve precise adjustment of the desuperheating water spraying amount. This process effectively ensures that the desuperheater outlet steam temperature remains within the set range, ensuring the safe and stable operation of the boiler.

[0061] Further, based on the foregoing, the (Superheating and desuperheating water volume) is the assumed preliminary flow value. After the outlet temperature is calculated based on the assumed preliminary flow value, the outlet temperature is used to reverse the flow. At this time, the obtained flow value will be different from the preliminary assumed flow value. Then, the newly calculated flow value is brought back into the temperature calculation to generate a new temperature. This process continues until the change in temperature and flow is less than the set tolerance range, indicating that the calculation results have converged. The outlet steam Celsius temperature and real-time desuperheating water flow output at this time are obtained as the most reliable outlet steam Celsius temperature and real-time desuperheating water flow.

[0062] P60: Comprehensively analyze the outlet steam temperature in degrees Celsius and the real-time cooling water flow rate to obtain the real-time safety status of the boiler, and package the real-time safety status of the boiler and send it to the boiler operation and maintenance center.

[0063] Furthermore, step P60 of the embodiment of the present application also includes:

[0064] P61: predefine temperature warning interval, flow warning interval and joint warning interval; P62: use the outlet steam Celsius temperature and real-time cooling water flow to traverse the temperature warning interval, flow warning interval and joint warning interval; P63: when the outlet steam Celsius temperature does not meet the temperature warning interval, and / or the real-time cooling water flow does not meet the flow warning interval, or the outlet steam Celsius temperature and the real-time cooling water flow do not meet the joint warning interval, activate the adaptive safety regulation model; P64: use the outlet steam Celsius temperature and the real-time cooling water flow as input data, input them into the adaptive safety regulation model, and analyze to obtain the adaptive regulation strategy; P65: output the adaptive regulation strategy, outlet steam Celsius temperature and real-time cooling water flow as the real-time safety status of the boiler.

[0065] Optionally, the real-time safety status of the boiler can be dynamically evaluated by comprehensively analyzing the outlet steam temperature and real-time desuperheating water flow, and the data can be packaged and sent to the boiler operation and maintenance center. This process ensures the safety and stability of boiler operation through real-time monitoring of temperature and flow, early warning mechanism, and application of adaptive adjustment strategy.

[0066] First, predefine the temperature warning interval, flow warning interval and joint warning interval. The temperature warning interval sets reasonable upper and lower limits of the outlet steam temperature based on the boiler's design parameters and safe operation standards to ensure that the temperature is within a safe range. The flow warning interval sets the normal range of the real-time cooling water flow rate based on the water demand of the desuperheater system and the steam temperature regulation characteristics. The joint warning interval combines the coupling relationship between the outlet steam temperature and the cooling water flow rate to set the dynamic balance interval between the two, which is used to identify abnormal risks under complex operating conditions.

[0067] Next, the above three warning intervals are used to perform a traversal analysis on the current outlet steam Celsius temperature and the real-time cooling water flow rate. The temperature data is compared with the temperature warning interval one by one to check whether it exceeds the safety range. At the same time, the real-time cooling water flow rate is compared with the flow warning interval to determine whether the flow rate deviates from the normal operating value. In addition, the temperature and flow rate are matched and analyzed with the joint warning interval at the same time to identify whether there is an imbalance between the two. Through traversal analysis, the abnormality of a single indicator or the imbalance of the coupling between the two can be quickly and comprehensively detected, providing data basis for subsequent adjustments.

[0068] When any of the following anomalies is detected, the safety requirements are not met and the adaptive safety regulation model needs to be automatically activated: First, the outlet steam temperature does not meet the predefined temperature warning range, indicating that the temperature may be too high or too low, affecting the safe operation of the system; second, the real-time cooling water flow does not meet the flow warning range, reflecting that the cooling water supply does not match the steam cooling demand; third, the temperature and flow do not meet the joint warning range at the same time, indicating that the coupling balance relationship between the two is abnormal. The activation of the adaptive safety regulation model means that the system will enter a dynamic adjustment state to cope with the current abnormal conditions.

[0069] The current outlet steam temperature in Celsius and the real-time cooling water flow rate are used as input data and input into the adaptive safety regulation model. The model generates a regulation strategy based on the input data through an adaptive regulation algorithm. The model first analyzes the coupling characteristics between temperature and flow through the thermal balance relationship and historical operation data, and then dynamically calculates the optimal spraying amount of cooling water based on the feedback mechanism to ensure that the temperature returns to the normal range. At the same time, the linkage relationship between temperature and flow is evaluated, the matching degree of temperature and flow is optimized, and an adaptive regulation strategy is formed to effectively solve the problem of single parameter abnormality or joint imbalance, and improve the operational stability and safety of the system.

[0070] Finally, the adaptive adjustment strategy, current outlet steam temperature in degrees Celsius, and real-time desuperheating water flow obtained from the analysis are integrated into the real-time safety status of the boiler, and the status information is packaged and sent to the boiler operation and maintenance center. After receiving the information, the operation and maintenance center can monitor the safety status of the boiler in real time, grasp the operation trend of the system and the execution effect of the adaptive adjustment, so that the operation and maintenance personnel can take further measures in time to ensure the safe and stable operation of the system.

[0071] Furthermore, step P64 of the embodiment of the present application also includes:

[0072] P64-1: Interactively obtain multiple sample joint arrays and multiple sample safety adjustment strategies; P64-2: After obtaining K random algorithm models through calling the random model library, use the multiple sample joint arrays and multiple sample safety adjustment strategies as training data to optimize the model parameters of the K random algorithm models, and obtain K adjustment strategy analysis branches; P64-3: Connect the K adjustment strategy analysis branches in parallel to complete the construction of the adaptive safety adjustment model; P64-4: After the outlet steam Celsius temperature and the real-time cooling water flow are used as input data and input into the adaptive safety adjustment model, the adjustment strategies are analyzed and output in parallel through the K adjustment strategy analysis branches to obtain K backup adjustment strategies; P64-5: Perform response evaluation on the K backup adjustment strategies, and obtain the adaptive adjustment strategy based on the evaluation results.

[0073] In a possible embodiment of the present application, in order to further improve the adaptability and accuracy of the adjustment strategy, in the process of constructing and outputting the adaptive safety adjustment model, the mechanisms of sample training, random algorithm model optimization and parallel adjustment analysis are introduced to realize dynamic optimization of the model and optimization of the adjustment strategy, thereby ensuring that the system can quickly respond to complex working conditions and provide the optimal safety adjustment solution.

[0074] First, multiple sample joint arrays and multiple sample safety regulation strategies are obtained through interaction. The sample joint array is composed of the combined data of the outlet steam temperature in the historical operation data and the real-time cooling water flow rate, which reflects the parameter distribution under different working conditions. The sample safety regulation strategy is the regulation scheme summarized by the system in the historical operation and simulation experiments, covering the optimal cooling water regulation strategy corresponding to different temperature and flow conditions. These data serve as the training basis to provide support for the further optimization of the adaptive safety regulation model.

[0075] Next, by calling K random algorithm models in the random model library, the obtained sample data is trained and optimized. These random algorithm models include a variety of adaptive adjustment algorithms, such as models based on genetic algorithms, particle swarm optimization algorithms, or deep learning algorithms. The sample joint array and sample safety adjustment strategy are used as training data and input into K random algorithm models for parameter adjustment and optimization training. Through the training process, the performance of each algorithm model is gradually optimized, and K adjustment strategy analysis branches are generated. These branches can analyze and output adjustment strategies for input data under different working conditions.

[0076] Furthermore, K regulation strategy analysis branches are connected in parallel to complete the construction of the adaptive safety regulation model. This parallel architecture enables multiple regulation strategy analysis branches to simultaneously receive input data and perform parallel analysis, greatly improving the system's computational efficiency and response speed. In addition, the model also has fault tolerance during the parallel process. Even if a branch fails under certain conditions, other branches can still provide effective regulation strategies to ensure the robustness and stability of the system.

[0077] Next, the real-time collected outlet steam Celsius temperature and real-time cooling water flow are used as input data and input into the adaptive safety regulation model. The model analyzes the input data in parallel through K regulation strategy analysis branches to generate K backup regulation strategies. These backup regulation strategies are based on the regulation results of different algorithm models, covering optimization solutions under different dimensions and different regulation paths, forming a variety of regulation alternatives to cope with complex and changing working conditions.

[0078] Finally, the generated K backup regulation strategies are evaluated for response, and the final adaptive regulation strategy is selected based on the evaluation results. The evaluation process mainly evaluates the effects of the K backup regulation strategies one by one by setting response performance indicators, such as temperature regression speed, desuperheating water flow adjustment accuracy, and system operation stability. Finally, the regulation strategy with the fastest response speed and the best regulation effect under the current working conditions is selected as the final adaptive regulation solution output, which can ensure the accuracy and response speed of the regulation strategy and provide strong technical guarantee for the safe and stable operation of the boiler system.

[0079] Furthermore, step P60 of the embodiment of the present application further includes:

[0080] P66: Use the outlet steam Celsius temperature to calibrate the measuring points of the temperature measuring element; P67: Interactively obtain the historical calibration information of the temperature measuring element; P68: Calculate the calibration cycle based on the historical calibration information to obtain the calibration cycle scatter points; P69: Preset the calibration cycle scale and scale deviation threshold; P610: Use the calibration cycle scale to traverse the calibration cycle scatter points to obtain the scale deviation frequency information; P611: When the scale deviation frequency information meets the scale deviation threshold, the temperature measuring element is determined to be scrapped, and an equipment replacement instruction is generated and sent to the boiler operation and maintenance center.

[0081] Specifically, in order to further ensure the data accuracy and equipment reliability of the temperature measuring components, a mechanism for measuring point calibration and equipment scrapping judgment can be introduced to dynamically monitor and periodically calibrate the temperature measuring components, and trigger replacement instructions when the scrapping conditions are met to ensure the continuous and stable operation of the boiler system.

[0082] First, the outlet steam temperature in Celsius calculated in real time is used to calibrate the measuring points of the temperature measuring element. Specifically, the system compares the outlet steam temperature output by the soft measurement model with the temperature data collected by the temperature measuring element, analyzes the degree of deviation between the two, and determines whether the temperature measuring element has measurement errors or deviations exceeding the limit. This dynamic calibration method can timely detect the measurement accuracy of the temperature measuring element and provide data support for subsequent maintenance.

[0083] Next, the historical calibration information of the temperature measuring element is obtained interactively. This historical calibration information includes the calibration records of the temperature measuring element at different time nodes, reflecting the long-term operating status of the temperature measuring element and the change trend of the measurement accuracy. Through the accumulation of historical calibration data, the system can fully grasp the health status of the temperature measuring element and provide a data basis for further calculation of the calibration cycle.

[0084] The calibration cycle is calculated based on the historical calibration information to generate calibration cycle scatter points. The calibration cycle scatter points refer to the deviation distribution of the temperature measuring element under different calibration cycles. By calculating the time interval and deviation change of each calibration, these data can be presented in the form of a scatter plot, which intuitively reflects the change trend and periodic characteristics of the measurement error of the temperature measuring element.

[0085] Furthermore, the calibration cycle scale and scale deviation threshold are preset. The calibration cycle scale refers to the standard calibration cycle of the temperature measuring element, such as a fixed time interval set according to equipment specifications or historical data. The scale deviation threshold is a key indicator for judging whether the temperature measuring element has failed, and represents the maximum error range allowed by the temperature measuring element within the calibration cycle. The setting of these two parameters provides a basis for judgment for subsequent calibration cycle analysis.

[0086] The calibration cycle scatter points are traversed and analyzed using the preset calibration cycle scale, and the frequency information of measurement deviation and scale deviation in each calibration cycle is calculated. Specifically, the scatter point data is matched with the preset calibration cycle one by one, and the frequency and distribution of deviations exceeding the threshold are counted. Through this process, the frequency of measurement errors of the temperature measuring element can be comprehensively evaluated, and its long-term stability and accuracy can be analyzed.

[0087] When the system detects that the scale deviation frequency information meets the scale deviation threshold, it determines that the temperature measuring element has been scrapped and no longer meets the safe operation requirements. The system then generates an equipment replacement instruction and packages the instruction and sends it to the boiler operation and maintenance center to remind the operation and maintenance personnel to replace the faulty temperature measuring element in time to avoid abnormal system operation due to measurement errors. Through the above steps, dynamic health monitoring and precise maintenance of temperature measuring elements are achieved, which effectively improves the measurement accuracy and equipment reliability of the boiler system and ensures the safe and stable operation of the system.

[0088] In summary, the embodiments of the present application have at least the following technical effects:

[0089] This application performs fault judgment on the temperature measuring element at the outlet of the desuperheater, activates the soft measurement sensor array, relies on the thermodynamic temperature calculation model to calculate the outlet steam specific enthalpy and temperature, combines the heat balance water flow inverse model, and dynamically calculates the real-time desuperheating water flow by inputting demand settings and data screening. The system comprehensively analyzes the outlet steam temperature and desuperheating water flow, evaluates the real-time safety status of the boiler, and packages the results and sends them to the boiler operation and maintenance center to achieve accurate data monitoring, fault replacement and system safety management, and ensure stable operation of the boiler.

[0090] The technical effect of ensuring the real-time and accuracy of desuperheater system data monitoring and improving the safety and stability of the boiler system is achieved.

[0091] Embodiment 2, based on the same inventive concept as the above-mentioned embodiment of a desuperheater outlet soft measurement control method, as Figure 2 As shown, the present application provides a desuperheater outlet soft measurement control system, and the system and method embodiments in the present application embodiments are based on the same inventive concept. The system includes:

[0092] The temperature estimation model building module 11 is used to pre-build a thermodynamic temperature estimation model.

[0093] The fault judgment module 12 is used to judge the fault of the temperature measuring element arranged at the outlet of the target desuperheater. If the state of the temperature measuring element is abnormal, the soft measurement sensor array is activated.

[0094] Thermodynamic temperature estimation module 13 is used to load the soft measurement input parameters into the thermodynamic temperature estimation model after receiving the soft measurement input parameters sent back by the soft measurement sensor array, so as to obtain the outlet steam specific enthalpy and outlet steam temperature in degrees Celsius of the desuperheater.

[0095] The water flow reverse model building module 14 is used to pre-build a thermal balance water flow reverse model, wherein the thermal balance water flow reverse model has an input demand setting.

[0096] A real-time cooling water flow generation module 15 is used to perform data screening on the soft measurement input parameters according to the input demand setting, and then load the screening results and the desuperheater outlet steam specific enthalpy into the thermal balance water flow inverse model through a data processing chain to obtain the real-time cooling water flow.

[0097] The boiler safety status analysis module 16 is used to comprehensively analyze the outlet steam temperature in degrees Celsius and the real-time cooling water flow rate to obtain the real-time safety status of the boiler, and package the real-time safety status of the boiler and send it to the boiler operation and maintenance center.

[0098] Furthermore, the temperature estimation model building module 11 is also used to perform the following steps:

[0099] A desuperheater outlet temperature formula is pre-built, and the desuperheater outlet temperature formula is as follows:

[0100] ; ; ; in, is the specific enthalpy of steam at the desuperheater outlet, is the specific enthalpy of steam before the desuperheater, is the specific enthalpy of desuperheated water, is the steam flow rate, is the total amount of superheated desuperheating water, is the amount of superheated desuperheating water, is the split coefficient, is the number of desuperheaters at the same level, is the outlet steam temperature in degrees Celsius, is the absolute temperature of the outlet steam, is the outlet steam pressure; based on the desuperheater outlet temperature formula, the thermodynamic temperature estimation model is constructed and generated.

[0101] Furthermore, the fault judgment module 12 is further configured to perform the following steps:

[0102] A sensor requirement analysis is performed according to input indicators of the desuperheater outlet temperature formula to obtain sensor requirement information, wherein the sensor requirement information includes sensor type information and detection indicator type information; an installation location information set is obtained by locating the target desuperheater according to the detection indicator type information; after a sensor entity is called based on the sensor type information, a sensor entity is installed and a communication link is constructed in the target desuperheater according to the installation location information set to complete the construction of the soft measurement sensor array; after determining that the state of the temperature measuring element is abnormal, the soft measurement sensor array is activated.

[0103] Furthermore, the water flow reverse estimation model building module 14 is also used to perform the following steps:

[0104] A desuperheating water flow formula is pre-built, and the desuperheating water flow formula is as follows: ;in, The method comprises the following steps: determining the real-time cooling water flow rate; extracting the input index of the cooling water flow rate formula, and generating the input demand setting based on the extraction result; constructing and generating the thermal balance water flow inverse model based on the cooling water flow rate formula; and loading the input demand setting to the input end of the thermal balance water flow inverse model.

[0105] Furthermore, the boiler safety status analysis module 16 is further configured to perform the following steps:

[0106] Predefine a temperature warning interval, a flow warning interval and a combined warning interval; use the outlet steam Celsius temperature and the real-time cooling water flow to traverse the temperature warning interval, the flow warning interval and the combined warning interval; when the outlet steam Celsius temperature does not satisfy the temperature warning interval, and / or the real-time cooling water flow does not satisfy the flow warning interval, or the outlet steam Celsius temperature and the real-time cooling water flow do not satisfy the combined warning interval, activate the adaptive safety regulation model; use the outlet steam Celsius temperature and the real-time cooling water flow as input data, input them into the adaptive safety regulation model, and analyze to obtain an adaptive regulation strategy; output the adaptive regulation strategy, the outlet steam Celsius temperature and the real-time cooling water flow as the real-time safety status of the boiler.

[0107] Furthermore, the boiler safety status analysis module 16 is further configured to perform the following steps:

[0108] Interactively obtain multiple sample joint arrays and multiple sample safety adjustment strategies; after obtaining K random algorithm models by calling the random model library, use the multiple sample joint arrays and multiple sample safety adjustment strategies as training data to optimize the model parameters of the K random algorithm models to obtain K adjustment strategy analysis branches; connect the K adjustment strategy analysis branches in parallel to complete the construction of the adaptive safety adjustment model; after inputting the outlet steam Celsius temperature and the real-time cooling water flow rate as input data into the adaptive safety adjustment model, perform parallel analysis and output of the adjustment strategies through the K adjustment strategy analysis branches to obtain K backup adjustment strategies; perform response evaluation on the K backup adjustment strategies, and obtain the adaptive adjustment strategy based on the evaluation results.

[0109] Furthermore, the boiler safety status analysis module 16 is further configured to perform the following steps:

[0110] The outlet steam Celsius temperature is used to calibrate the measuring points of the temperature measuring element; the historical calibration information of the temperature measuring element is obtained interactively; the calibration cycle is calculated according to the historical calibration information to obtain calibration cycle scatter points; a calibration cycle scale and a scale deviation threshold are preset; the calibration cycle scale is used to traverse the calibration cycle scatter points to obtain scale deviation frequency information; when the scale deviation frequency information meets the scale deviation threshold, the temperature measuring element is determined to be scrapped, and an equipment replacement instruction is generated and sent to the boiler operation and maintenance center.

[0111] Embodiment 3

[0112] Based on the same inventive concept as the desuperheater outlet soft measurement control method in the aforementioned embodiment, the present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method in embodiment one is implemented.

[0113] Through the above detailed description of a desuperheater outlet soft measurement control method, those skilled in the art can clearly know a desuperheater outlet soft measurement control method and system in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0114] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0115] Exemplary Electronic Devices

[0116] Reference below Figure 3 To describe the electronic device of the embodiment of the present application.

[0117] Based on the same inventive concept as the desuperheater outlet soft measurement control method in the aforementioned embodiment, the present application also provides a desuperheater outlet soft measurement control system, including: a processor, the processor is coupled to a memory, the memory is used to store a program, when the program is executed by the processor, the system executes the steps of the method described in embodiment one.

[0118] The electronic device 300 includes: a processor 302, a communication interface 303, and a memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. The communication interface 303, the processor 302, and the memory 301 may be interconnected via the bus architecture 304; the bus architecture 304 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0119] The processor 302 may be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for controlling the execution of the program of the present application.

[0120] The communication interface 303 uses any transceiver-like device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), wired access networks, etc.

[0121] The memory 301 may be a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory may exist independently and be connected to the processor via the bus architecture 304. The memory may also be integrated with the processor.

[0122] The memory 301 is used to store computer execution instructions for executing the solution of the present application, and the execution is controlled by the processor 302. The processor 302 is used to execute the computer execution instructions stored in the memory 301, thereby realizing a desuperheater outlet soft measurement control method provided in the above embodiment of the present application.

[0123] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0124] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0125] This specification and the drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A soft measurement control method for a desuperheater outlet, characterized in that: The method comprises: Pre-built thermodynamic temperature estimation model; Performing fault judgment on a temperature measuring element disposed at the outlet of a target desuperheater, and activating a soft measurement sensor array if the temperature measuring element is in an abnormal state; After receiving the soft measurement input parameters returned by the soft measurement sensor array, the soft measurement input parameters are loaded into the thermodynamic temperature estimation model to obtain the outlet steam specific enthalpy and outlet steam temperature in degrees Celsius of the desuperheater; Pre-constructing a heat balance water flow inverse model, wherein the heat balance water flow inverse model has an input demand setting; After data screening of the soft-sensing input parameters according to the input requirement setting, the screening results and the specific enthalpy of the steam at the desuperheater outlet are loaded into the heat balance water flow inverse model through a data processing chain to obtain a real-time desuperheating water flow; The outlet steam temperature in degrees Celsius and the real-time cooling water flow are comprehensively analyzed to obtain the real-time safety status of the boiler, and the real-time safety status of the boiler is packaged and sent to the boiler operation and maintenance center.

2. A desuperheater outlet soft measurement control method according to claim 1, characterized in that: Pre-constructing a thermodynamic temperature estimation model, the method further comprises: A desuperheater outlet temperature formula is pre-built, and the desuperheater outlet temperature formula is as follows: ； ； ； in, is the specific enthalpy of steam at the desuperheater outlet, is the specific enthalpy of steam before the desuperheater, is the specific enthalpy of desuperheated water, is the steam flow rate, is the total amount of superheated desuperheating water, is the amount of superheated desuperheating water, is the split coefficient, is the number of desuperheaters at the same level, is the outlet steam temperature in degrees Celsius, is the absolute temperature of the outlet steam, is the outlet steam pressure; Based on the desuperheater outlet temperature formula, the thermodynamic temperature estimation model is constructed and generated.

3. A desuperheater outlet soft measurement control method as claimed in claim 2, characterized in that: The method further comprises: Performing sensor requirement analysis according to the input index of the desuperheater outlet temperature formula to obtain sensor requirement information, wherein the sensor requirement information includes sensor type information and detection index type information; Locating the target desuperheater according to the detection index type information to obtain an installation location information set; After calling the sensor entity based on the sensor type information, installing the sensor entity and building a communication link on the target desuperheater according to the installation location information set, and completing the construction of the soft measurement sensor array; After determining that the state of the temperature measuring element is abnormal, activating the soft measurement sensor array.

4. A desuperheater outlet soft measurement control method as claimed in claim 3, characterized in that: Pre-constructing a heat balance water flow inverse model, wherein the heat balance water flow inverse model has an input demand setting, and the method further includes: A desuperheating water flow formula is pre-built, and the desuperheating water flow formula is as follows: ； in, It is the real-time cooling water flow; Extracting input indicators from the cooling water flow formula, and generating the input demand setting based on the extraction result; The heat balance water flow inverse model is constructed and generated based on the desuperheating water flow formula; The input demand setting is loaded into the input end of the thermal balance water flow inverse model.

5. A desuperheater outlet soft measurement control method as claimed in claim 1, characterized in that: Comprehensively analyzing the outlet steam temperature in degrees Celsius and the real-time desuperheating water flow rate to obtain the real-time safety status of the boiler, the method further includes: Predefined temperature warning interval, flow warning interval and combined warning interval; Using the outlet steam Celsius temperature and the real-time desuperheating water flow rate to traverse the temperature warning interval, flow warning interval and combined warning interval; When the outlet steam temperature in degrees Celsius does not meet the temperature warning interval, and / or the real-time cooling water flow rate does not meet the flow warning interval, or the outlet steam temperature in degrees Celsius and the real-time cooling water flow rate do not meet the joint warning interval, activating the adaptive safety regulation model; The outlet steam temperature in degrees Celsius and the real-time cooling water flow rate are used as input data, input into the adaptive safety regulation model, and analyzed to obtain an adaptive regulation strategy; The adaptive regulation strategy, outlet steam temperature in degrees Celsius and real-time desuperheating water flow are output as the real-time safety status of the boiler.

6. A desuperheater outlet soft measurement control method as claimed in claim 5, characterized in that: The outlet steam temperature in degrees Celsius and the real-time desuperheating water flow rate are used as input data and input into the adaptive safety regulation model to analyze and obtain an adaptive regulation strategy. The method further includes: Interactively obtain multiple sample joint arrays and multiple sample safety adjustment strategies; After the random model library is called to obtain K random algorithm models, the multiple sample joint arrays and the multiple sample safety adjustment strategies are used as training data to perform model parameter optimization of the K random algorithm models to obtain K adjustment strategy analysis branches; The K adjustment strategy analysis branches are connected in parallel to complete the construction of the adaptive safety adjustment model; After the outlet steam temperature in degrees Celsius and the real-time cooling water flow rate are input as input data into the adaptive safety regulation model, the K regulation strategy analysis branches are used to perform parallel analysis and output of regulation strategies to obtain K backup regulation strategies; The K backup adjustment strategies are evaluated for their responses, and the adaptive adjustment strategy is obtained by screening based on the evaluation results.

7. A desuperheater outlet soft measurement control method according to claim 1, characterized in that: The method comprises: Using the outlet steam temperature in degrees Celsius to calibrate the measuring point of the temperature measuring element; Interactively obtain historical calibration information of the temperature measuring element; Calculate the proofreading cycle according to the historical proofreading information to obtain proofreading cycle scatter points; Preset calibration cycle scale and scale deviation threshold; Using the calibration cycle scale to traverse the calibration cycle scatter points, obtaining scale deviation frequency information; When the scale deviation frequency information meets the scale deviation threshold, the temperature measuring element is determined to be scrapped, and an equipment replacement instruction is generated and sent to the boiler operation and maintenance center.

8. A soft measurement control system for a desuperheater outlet, characterized in that: The system comprises: A temperature estimation model building module, wherein the temperature estimation model building module is used to pre-build a thermodynamic temperature estimation model; A fault judgment module, the fault judgment module is used to judge the fault of the temperature measuring element arranged at the outlet of the target desuperheater, and if the state of the temperature measuring element is abnormal, the soft measurement sensor array is activated; A thermodynamic temperature estimation module, wherein the thermodynamic temperature estimation module is used to load the soft measurement input parameters into the thermodynamic temperature estimation model after receiving the soft measurement input parameters returned by the soft measurement sensor array, so as to obtain the specific enthalpy of the desuperheater outlet steam and the outlet steam temperature in degrees Celsius; A water flow reverse model construction module, wherein the water flow reverse model construction module is used to pre-construct a thermal balance water flow reverse model, wherein the thermal balance water flow reverse model has an input demand setting; A real-time desuperheating water flow generation module, wherein the real-time desuperheating water flow generation module is used to perform data screening on the soft-sensing input parameters according to the input demand setting, and then load the screening results and the desuperheater outlet steam specific enthalpy into the heat balance water flow inverse model through a data processing chain to obtain the real-time desuperheating water flow; The boiler safety status analysis module is used to comprehensively analyze the outlet steam temperature in degrees Celsius and the real-time cooling water flow rate to obtain the real-time safety status of the boiler, and package the real-time safety status of the boiler and send it to the boiler operation and maintenance center.

9. An electronic device, characterized in that: include: A processor, the processor is coupled to a memory, the memory is used to store a program, when the program is executed by the processor, the system is enabled to perform the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method steps according to any one of claims 1 to 7 are implemented.

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