NB-IOT-based feed pump pressure regulation and control system and method

Abstract

The invention discloses a feed pump pressure regulation and control system and method based on NB-IOT, and belongs to the technical field of pressure control. The feed pump pressure regulation and control system comprises a data acquisition module, a communication module, an intelligent control module and a feedback evaluation module; the data acquisition module is used for collecting multi-dimensional data of the water feeding pump and the operation environment of the water feeding pump in real time; the communication module is used for constructing a data transmission channel and receiving and transmitting data and instructions in each module in real time; the intelligent control module is used for dynamically generating a target pressure instruction, ensuring that the water feeding pump can stably operate under various working conditions in a thermal power plant, conducting synchronous self-adaptive regulation and control on the medium temperature, effectively preventing the water feeding pump from being damaged due to overheating, and meanwhile avoiding resource waste. And the feedback evaluation module is used for comprehensively evaluating the pressure regulation effect after pressure regulation is completed, and if the evaluation result is not ideal, the pressure model is updated and regulated again, so that the overall operation quality of the thermal power generation system is improved.

Description

Technical Field

[0001] The present invention relates to a feed water pump pressure regulation system and method based on NB-IoT, belonging to the technical field of pressure control. Background Art

[0002] At present, China's energy structure is still mainly based on coal, especially in power production. In thermal power plants, feed water pumps play an indispensable role. On the one hand, they are responsible for circulating cooling, and on the other hand, they continuously supply water to the boiler.

[0003] The existing Chinese patent with the authorized announcement number CN112483425B discloses a constant speed feed water pump pressure regulating device and operation method. The device includes a feed water pipeline, a start-up feed water pipeline, and a deaerator. The deaerator is arranged at the starting end of the feed water pipeline and the start-up feed water pipeline, and the No. 3 high-pressure heater is arranged at the end of the feed water pipeline and the start-up feed water pipeline. Along the medium flow direction on the feed water pipeline, a first electric gate valve, a motor-driven feed water pump booster pump, a motor-driven feed water pump, a first pressure transmitter, a first temperature transmitter, and a second electric gate valve are sequentially arranged. Along the medium flow direction on the start-up feed water pipeline, a third electric gate valve, an electric constant speed feed water pump, a second pressure transmitter, a second temperature transmitter, a fourth electric gate valve, and a first pneumatic regulating valve are sequentially arranged.

[0004] Although the prior art solves the problem of excessive head of the electric constant speed pump, it can not only adjust the pressure of the start-up feed water pipeline but also adjust the pressure of the main feed water pipeline, enabling the motor-driven feed water pump to be successfully connected to the grid without affecting the normal operation of the power plant. However, it does not consider the adaptive ability of pressure regulation and the pressure regulation effect. In particular, it does not consider the specific requirements of the actual operation conditions of thermal power plants for feed water pump pressure regulation. For example, during thermal power generation, the huge heat generated by combustion will directly affect the working environment and performance of the feed water pump, including the pump body temperature, medium temperature, and the resulting pressure fluctuations. Moreover, it lacks a comprehensive evaluation of the regulation effect and is difficult to ensure that the pressure regulation measures truly achieve the expected effect. Therefore, the present application provides a feed water pump pressure regulation system and method based on NB-IoT. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the purpose of the present invention is to provide a feed water pump pressure regulation system and method based on NB-IoT. According to the actual operation data, it dynamically generates and issues target pressure commands to accurately adjust the working pressure of the feed water pump to adapt to the demand changes under different working conditions of thermal power plants. At the same time, a mechanism for synchronously adjusting pressure regulation and temperature change is designed to automatically adjust the cooling water flow or take other temperature control measures to effectively prevent the feed water pump from being damaged due to excessive circulating water temperature. And by comparing the effects before and after regulation, an evaluation report is automatically generated to ensure that the feed water pump pressure regulation is always in the best state.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A feed water pump pressure regulation system based on NB-IOT, comprising: a data acquisition module, a communication module, an intelligent control module and a feedback evaluation module;

[0008] The data acquisition module is used to collect multi-dimensional data of the feed water pump and its operating environment in real time;

[0009] The communication module is used to build a data transmission channel and receive and transmit data and instructions in each module in real time;

[0010] The intelligent control module is used to dynamically generate a target pressure instruction and perform synchronous adaptive regulation on the medium temperature;

[0011] The feedback evaluation module is used to comprehensively evaluate the pressure regulation effect after the pressure regulation is completed.

[0012] Specifically, the intelligent control module includes a pressure control unit and a temperature control unit;

[0013] The pressure control unit is used to calculate the optimal pressure value required by the feed water pump, convert the optimal pressure value into a corresponding control signal, and generate a target pressure instruction;

[0014] The temperature control unit is used to monitor the medium temperature after passing through the boiler in real time while adjusting the pressure, and determine temperature anomalies.

[0015] Specifically, the specific steps of generating a target pressure instruction include:

[0016] Construct a global feature vector , and construct a data set based on a number of samples of the global feature vector ; where is the optimal pressure value of the feed water pump, is the target feature vector, is the number of samples in the data set, is the data set is the th sample containing the global feature vector in ;

[0017] Use a support vector machine to construct a pressure model and set the regression function of the pressure model;

[0018] Divide the data set into a training set and a validation set, define the training objective as minimizing the structural risk function, and train and validate the pressure model;

[0019] Obtain the target feature vector in real time , generate the optimal pressure value using the pressure model , and calculate the pressure change ; where is the actual pressure value;

[0020] Set the time interval for pressure adjustment to , and calculate the rate of pressure increase or decrease , generate the target pressure command.

[0021] Specifically, the specific steps for temperature anomaly determination include:

[0022] Set the normal range of the outlet water to ; where is the lower limit of the outlet water temperature, is the upper limit of the outlet water temperature;

[0023] Obtain the actual medium temperature in real time , and determine whether the actual medium temperature exceeds the normal range of the outlet water;

[0024] If , the actual medium temperature is normal, perform the established cooling operation;

[0025] If , the actual medium temperature is too high, perform cooling adjustment;

[0026] If , the actual medium temperature is too low, perform heating adjustment.

[0027] Specifically, the specific steps for cooling adjustment include:

[0028] Set the flow rate of the cooling water pump to and the rotational speed to , construct the function expressions between the flow rate and the cooling effect, and between the rotational speed and the flow rate;

[0029] Calculate the additional rotational speed required for the cooling water pump ;

[0030] After cooling down, obtain the actual cooling temperature , and set the cooling temperature threshold to , and determine whether the temperature of the medium after passing through the cooling water tank is effectively reduced;

[0031] If , the cooling effect is good, perform the established stirring and cooling operation;

[0032] If , the cooling effect is poor, optimize the stirring and cooling.

[0033] Specifically, the specific steps for optimizing the stirring and cooling include:

[0034] Set the rotation speed of the stirring motor to , and construct a function expression between the rotation speed and the stirring effect;

[0035] Calculate the increased rotation speed of the stirring motor , and adjust the rotation speed of the stirring motor through the motor controller.

[0036] Specifically, the specific steps of the temperature increase adjustment include:

[0037] According to the actual medium temperature and the lower limit of the outlet water temperature, calculate the rotation speed that the cooling water pump needs to reduce .

[0038] Specifically, a feedback strategy for evaluating the effect of pressure regulation is configured in the feedback evaluation module;

[0039] The specific steps of the feedback strategy include:

[0040] Obtain the actual medium temperature at the water inlet of the feed water pump , and set the stable temperature range as ; where is the lower limit of the inlet water temperature, is the upper limit of the inlet water temperature;

[0041] Use a time counter to obtain the time interval for the temperature to return to the stable temperature range ;

[0042] Record the maximum value and the minimum value of the medium temperature at the water inlet, and calculate the temperature fluctuation amplitude after the temperature adjustment ends;

[0043] Record the maximum value and the minimum value of the feed water pump pressure, and calculate the pressure fluctuation range after the temperature adjustment ends;

[0044] Calculate the flow variation coefficient ; where is the average value of the flow rate, is the standard deviation of the calculated flow rate;

[0045] Set the time threshold for the temperature to return to the normal range as , the temperature fluctuation amplitude threshold as , the pressure fluctuation range threshold as and the flow variation coefficient threshold as , and construct a comprehensive scoring index ;

[0046] Set the comprehensive evaluation threshold , and judge the overall operation status according to the value of the comprehensive scoring index; if , the operation status is good; if , the operation status is not good, update the pressure model, and re - conduct pressure regulation.

[0047] The pressure regulation method of the feed water pump based on NB - IOT includes:

[0048] Collect multi - dimensional data of the feed water pump and its operating environment in real - time during the thermal power generation process;

[0049] Dynamically generate and issue target pressure commands, and perform synchronous adaptive regulation on the medium temperature;

[0050] After each pressure adjustment is completed, evaluate the pressure adjustment effect.

[0051] Specifically, the specific steps of evaluating the pressure adjustment effect include:

[0052] Obtain the actual medium temperature at the inlet of the feed water pump , and set the stable temperature range;

[0053] Use a time counter to obtain the time interval for the temperature to return to the stable temperature range ;

[0054] Calculate the temperature fluctuation amplitude after the temperature regulation ends , the pressure fluctuation range and the flow variation coefficient ;

[0055] Set the time threshold for the temperature to return to the normal range as , the temperature fluctuation amplitude threshold as , the pressure fluctuation range threshold as and the flow variation coefficient threshold as , and construct a comprehensive scoring index ;

[0056] Set the comprehensive evaluation threshold , and judge the overall operation status according to the value of the comprehensive scoring index; if , the operation status is good; if , the operation status is not good, update the pressure model, and re - conduct pressure regulation.

[0057] The beneficial effects of the present invention:

[0058] Build a pressure model using the support vector machine algorithm to generate target pressure commands, ensuring that the feed pump can operate stably under different working conditions, meet the changing demands of the power generation load, and synchronously perform adaptive regulation of the medium temperature. Real-time obtain the medium temperature through temperature sensors arranged at key positions, accurately determine whether the temperature is abnormal, and perform temperature adjustment to ensure that the medium temperature is within a reasonable range, prevent the feed pump from being damaged due to overheating, and avoid waste of resources, ensuring its safe and efficient operation under various working conditions; after each pressure adjustment, evaluate the operating condition of the feed pump by constructing a comprehensive scoring index. If the evaluation result is not satisfactory, update the pressure model and re-regulate; through a closed-loop operation process, the system can continuously optimize its own regulation strategy, continuously improve the stability, safety and efficiency of the feed pump operation, thereby improving the overall operation quality of the thermal power generation system, reducing equipment losses and maintenance costs, and enhancing the economic benefits and reliability of the thermal power plant. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 FIG. is a structural diagram of a feed pump pressure regulation system based on NB-IOT;

[0060] Figure 2 FIG. is a flowchart of generating a target pressure command for a feed pump pressure regulation system based on NB-IOT;

[0061] Figure 3 FIG. is a flowchart of determining temperature abnormality for a feed pump pressure regulation system based on NB-IOT;

[0062] Figure 4 FIG. is a flowchart of a feedback strategy for a feed pump pressure regulation system based on NB-IOT;

[0063] Figure 5 FIG. is a flowchart of a feed pump pressure regulation method based on NB-IOT. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0064] The technical solution of the present invention will be described in detail below through the drawings and specific embodiments. It should be understood that the specific features in the embodiments of the present invention are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. Without conflict, the technical features in the embodiments of the present invention and the embodiments can be combined with each other.

[0065] Embodiment 1

[0066] Refer to Figures 1 to 4 As shown, this embodiment introduces a feed pump pressure regulation system based on NB-IOT, including: a data acquisition module, a communication module, an intelligent control module, and a feedback evaluation module;

[0067] The data acquisition module is used to utilize various high-precision monitoring devices in the thermal power generation process, such as sensors, pressure gauges, and flow meters, to collect multi-dimensional data of the feed pump and its operating environment in real time, including the pressure data, flow data, temperature data, and other auxiliary data of the feed pump; the pressure data reflects the working state and efficiency of the feed pump; the flow data records the real-time information of the fluid delivery volume; the temperature data includes the pump body temperature, medium temperature, and ambient temperature, which are used for subsequent immediate temperature adjustment to avoid overheating risks and evaluate the working state of the feed pump. Among them, the medium temperature is the temperature of the fluid transported by the feed pump during the circulation process, which has an impact on the pump body material, sealing performance, and operating efficiency. For example, high-temperature media may cause thermal expansion and strength reduction of the pump body material, and even lead to thermal fatigue of the material, while low-temperature media may cause material embrittlement and increase the risk of fracture; other auxiliary data includes the power generation load and steam parameters of the power plant, which are used to adjust the working pressure and flow rate of the feed pump;

[0068] The communication module is used to build a stable and high-speed data transmission channel by using NB-IOT technology, transmit the information collected by the data acquisition module to the intelligent control module in real time, receive the regulation instructions issued by the intelligent control module at the same time, and feedback them to the feed pump or other actuators. Through two-way data transmission and instruction transfer, real-time data transmission and immediate response to instructions are achieved. In thermal power plants, due to the wide distribution of equipment and complex environment, there are a large number of adverse factors, such as electromagnetic interference. The NB-IOT network has a wide coverage and can ensure stable communication in every corner of the thermal power plant;

[0069] The intelligent control module is used to receive the multi-dimensional data provided by the data acquisition module, process and analyze the data, dynamically generate and issue target pressure instructions, and perform synchronous adaptive regulation on the medium temperature. According to the temperature changes of the feed pump and its surrounding environment, synchronously adjust the cooling water flow rate in the cooling tank or take other temperature control measures. Among them, a cooling water pump is equipped in the cooling tank to cool the fluid and achieve heat exchange, ensuring that the medium temperature is maintained within the optimal range, effectively preventing the feed pump from being damaged due to overheating, and ensuring that it is always in a safe and efficient operating state;

[0070] The feedback evaluation module is used to evaluate the pressure adjustment effect after each pressure adjustment. By obtaining the actual medium temperature at the inlet of the feed pump, constructing a comprehensive scoring index, and comparing it with the comprehensive evaluation threshold to judge the operating condition, accurately judge whether the feed pump is operating well. If not, update the pressure model and re-regulate it, so as to realize the dynamic optimization of pressure regulation, ensure the stable and efficient operation of the feed pump, extend the equipment life, and improve the reliability and safety of the entire thermal power generation system.

[0071] Specifically, the intelligent control module includes a pressure control unit and a temperature control unit;

[0072] The voltage-controlled unit is used to deeply analyze and process the received multi-dimensional data, calculate the optimal pressure value required by the feed water pump, ensure the stable operation of the feed water pump under various working conditions in the thermal power plant, convert the optimal pressure value into a corresponding control signal, generate a detailed and accurate target pressure command, and send the target pressure command to the actuator of the feed water pump to ensure that the actuator quickly and accurately adjusts the operating state of the feed water pump to meet the demand after the increase in power generation load;

[0073] The temperature-controlled unit is used to, while the feed water pump adjusts the pressure, use a number of temperature sensors arranged at specific positions, such as the temperature sensors at the rear pipeline of the boiler, at the cooling tank, and at the semi-closed water tank, to continuously monitor the temperature of the medium after passing through the boiler, and conduct temperature anomaly determination. Since the fluid transported by the feed water pump will significantly increase in temperature after passing through the boiler, the fluid returns to the water inlet of the feed water pump through a series of cooling operations to form new boiler feed water. At the same time, after the pressure adjustment, the boiling point of the fluid changes. When the feed water pump increases the fluid pressure, when the fluid absorbs heat in the boiler, due to the increase in the boiling point, the fluid can reach a higher temperature without boiling and vaporizing. For example, under standard atmospheric pressure, the boiling point of water is 100 °C, and when the pressure rises to a certain level (such as 1.5 standard atmospheric pressures), the boiling point of water may rise to about 110 °C. At this time, in the boiler, a large amount of heat is released by fuel combustion, and the fluid continuously absorbs heat in this high-pressure environment, and the temperature will significantly increase. However, maintaining the original cooling operation has an unsatisfactory cooling effect, resulting in too high a temperature of the fluid when it reaches the water inlet of the feed water pump, causing damage to the feed water pump. Adaptive control can effectively avoid the damage to the pump body material caused by thermal stress.

[0074] Specifically, the specific steps for generating the target pressure command include:

[0075] Integrate the received multi-dimensional data, combine the current real-time pressure value of the feed water pump, the instantaneous data of the flow rate, and various temperature data with the power generation load value of the thermal power plant at this moment and the various parameters of the steam to construct a global feature vector and construct a data set reflecting the operating conditions of the feed water pump based on a number of samples of the global feature vector ; where is the optimal pressure value of the feed water pump, is the target feature vector, , is the flow rate, is the pump body temperature, is the medium temperature, is the ambient temperature, is the power generation load, is the steam pressure, is the steam temperature, is the steam flow rate, is the number of samples in the dataset, is the dataset the th sample containing the global feature vector, and ;

[0076] Use a support vector machine to construct a pressure model, and set the regression function of the pressure model to ; where, is the output of the pressure model, used to predict the optimal pressure value of the feed pump, is the weight matrix, is the function that maps the target feature vector to a high-dimensional space, is the bias term;

[0077] Divide the dataset into a training set and a validation set, use the training set to train the pressure model, and define the training objective as minimizing the structural risk function to obtain the optimal and , and use the validation set to validate the trained pressure model; the expression is as follows:

[0078]

[0079] where, is the penalty parameter, used to balance the complexity of the model and the tolerance for sample errors, and are slack variables, is the insensitive loss parameter;

[0080] Obtain the target feature vector in the current state in real time, use the pressure model to generate the optimal pressure value required by the feed pump, and calculate the current pressure change ; where, is the pressure value of the current feed pump;

[0081] According to the response characteristics of the feed pump and the actual operation requirements, set the time interval for pressure adjustment to , and calculate the rate of pressure increase or decrease , and generate a target pressure command; where the target pressure quality includes the optimal pressure value , the actual pressure value , the pressure change , the time interval and the rate .

[0082] Specifically, the specific steps for temperature anomaly determination include:

[0083] The preset normal range of the fluid outlet temperature after passing through the boiler is ; where is the lower limit of the outlet temperature, is the upper limit of the outlet temperature;

[0084] Using a high-precision temperature sensor, the actual medium temperature of the fluid after passing through the boiler is obtained in real time , and it is judged whether the actual medium temperature exceeds the normal range of the outlet temperature. Among them, the temperature sensor is installed near the fluid outlet after the boiler to ensure the accuracy of the measurement;

[0085] If , it is determined that the actual medium temperature is normal, and the fluid cooling continues according to the established cooling operation;

[0086] If , it is determined that the actual medium temperature is too high, and the cooling adjustment is immediately executed;

[0087] If , it is determined that the actual medium temperature is too low, and the heating adjustment is executed to avoid waste of resources.

[0088] Specifically, the specific steps of the cooling adjustment include:

[0089] After the fluid flows out of the boiler, it enters the cooling tank. The flow rate of the cooling water pump is set to , and the rotation speed is . The function expression between the flow rate and the cooling effect is constructed as , and the function expression between the rotation speed and the flow rate is ; where is the temperature reduction amount of the fluid at the condensation wall per unit time, , , and are correlation coefficients determined by those skilled in the art;

[0090] Calculate the additional rotation speed required for the cooling water pump , and by increasing the rotation speed of the cooling water pump, the cooling water flow rate is increased, the cooling effect is strengthened, and the cooling speed of the fluid is accelerated; the expression is as follows:

[0091]

[0092]

[0093] [[ID=?]] is the target temperature reduction amount, is the additional flow rate required for the cooling water pump;

[0094] ​After cooling down in the cooling tank, obtain the actual cooling temperature , and set the cooling temperature threshold as , and determine whether the temperature of the medium after passing through the cooling water tank has been effectively reduced. At this time, the actual cooling temperature is collected by a temperature sensor installed near the fluid outlet after the cooling water tank;

[0095] If , it is determined that the cooling effect is good, and the established stirring cooling operation is executed;

[0096] If , it is determined that the cooling effect is poor, and optimize the stirring cooling.

[0097] Specifically, the specific steps for optimizing the stirring cooling include:

[0098] After the fluid flows out of the cooling tank, it enters a semi-closed water tank. A stirring motor is equipped in the water tank, and heat exchange is accelerated through stirring to achieve cooling. Set the rotation speed of the stirring motor as , and construct the function expression between the rotation speed and the stirring effect as ; where is the amount of fluid temperature decrease per unit time, is the stirring speed-cooling coefficient, is a constant, determined by those skilled in the art;

[0099] Calculate the increased rotation speed of the stirring motor, and adjust the rotation speed of the stirring motor through the motor controller to improve the stirring efficiency and enhance the cooling effect; the expression is as follows:

[0100]

[0101]

[0102] In the formula, is the temperature difference between the actual cooling temperature and the cooling temperature threshold.

[0103] Specifically, the specific steps for warming adjustment include:

[0104] When the actual medium temperature is lower than the normal outlet range, maintaining the original cooling operation will cause unnecessary resource waste. According to the actual medium temperature and the lower limit of the outlet water temperature, calculate the required reduced rotation speed of the cooling water pump. By reducing the rotation speed of the cooling water pump, the cooling water flow rate is reduced, thereby slowing down the cooling speed of the fluid and avoiding resource waste caused by too low temperature; the expression is as follows:

[0105]

[0106]

[0107] In the formula, is the target temperature rise, is the flow rate that the cooling water pump needs to reduce;

[0108] Specifically, a feedback strategy for evaluating the effect of pressure regulation is configured in the feedback evaluation module;

[0109] The specific steps of the feedback strategy include:

[0110] Obtain the actual medium temperature at the inlet of the feed water pump , and set the stable temperature range of the inlet medium temperature as ; where the temperature stable range is the temperature allowable interval of the medium temperature at the inlet, is the lower limit of the inlet temperature, representing the lowest safe value of the medium temperature at the inlet, is the upper limit of the inlet temperature, representing the highest safe value of the medium temperature at the inlet;

[0111] After the temperature control unit starts to implement the temperature regulation measures, continuously monitor the medium temperature at the inlet. When the temperature first satisfies , start a time counter, start recording time, and continue to monitor the temperature stability, so that the temperature is always within the stable temperature range during the time period. Once the temperature exceeds the stable temperature range during the time period, re - conduct temperature regulation and temperature stability monitoring until the time when the temperature is maintained within the stable temperature range first exceeds , at this time, the time recorded by the time counter is the time interval for the temperature to return to the normal range ;

[0112] During the temperature regulation process, continuously update and record the maximum value and the minimum value of the inlet medium temperature, and calculate the temperature fluctuation amplitude after the temperature regulation ends, which reflects the stability of the temperature during the regulation process; The expression is as follows:

[0113]

[0114] Continuously record the maximum value and the minimum value of the feed water pump pressure, and calculate the pressure fluctuation range after the temperature regulation ends, The expression is as follows:

[0115]

[0116] Collect flow data in real time. The flow data is collected by a flow meter installed on the feed pump pipeline, and the flow variation coefficient is calculated. , and the expression is as follows:

[0117]

[0118]

[0119]

[0120] In the formula, is the number of collected flow data, is the th collected flow data, is the average value of the flow, is the standard deviation of the calculated flow;

[0121] Set the time threshold for the temperature to return to the normal range as , the temperature fluctuation amplitude threshold as , the pressure fluctuation range threshold as and the flow variation coefficient threshold as ;

[0122] Based on a series of set thresholds, construct a comprehensive scoring index , and the expression is as follows:

[0123]

[0124] Set a comprehensive evaluation threshold , and judge the overall operation status according to the value of the comprehensive scoring index; if , the operation status is good; if , the operation status is poor, update the pressure model, and re - conduct pressure regulation.

[0125] Embodiment 2

[0126] Please refer to Figure 5 , another embodiment provided by the present invention: A feed pump pressure regulation method based on NB - IOT, including the following steps:

[0127] Utilize various high - precision monitoring devices in the thermal power generation process to collect multi - dimensional data of the feed pump and its operating environment in real time;

[0128] Process and analyze the multi - dimensional data, dynamically generate and issue target pressure instructions, and perform synchronous adaptive regulation on the medium temperature;

[0129] After each pressure adjustment is completed, evaluate the pressure adjustment effect.

[0130] Specifically, the specific steps for evaluating the pressure adjustment effect include:

[0131] Obtain the actual medium temperature at the inlet of the feed pump , and set the stable temperature range of the medium temperature at the inlet as ; where is the lower limit of the inlet temperature, is the upper limit of the inlet temperature;

[0132] After the temperature control unit starts to implement the temperature adjustment measures, continuously monitor the medium temperature at the inlet. When the temperature first satisfies , start a time counter, start recording time, and continue to monitor the temperature stability, so that the temperature remains within the stable temperature range during the period. Once the temperature exceeds the stable temperature range during the period, re - conduct temperature adjustment and temperature stability monitoring until the time when the temperature remains within the stable temperature range first exceeds . At this time, the time recorded by the time counter is the time interval for the temperature to return to the normal range ;

[0133] During the temperature adjustment process, continuously update and record the maximum value and the minimum value of the medium temperature at the inlet, and calculate the temperature fluctuation amplitude after the temperature adjustment ends, which reflects the stability of the temperature during the adjustment process; the expression is as follows:

[0134]

[0135] Continuously record the maximum value and the minimum value of the feed pump pressure, and calculate the pressure fluctuation range after the temperature adjustment ends, the expression is as follows:

[0136]

[0137] Collect flow data in real - time. The flow data is collected by a flowmeter installed on the feed pump pipeline, and calculate the flow variation coefficient , the expression is as follows:

[0138]

[0139]

[0140]

[0141] In the formula, is the number of the collected flow data, For the th flow rate data collected, is the average value of the flow rate, is the standard deviation of the calculated flow rate;

[0142] Set the time threshold for the temperature to return to the normal range as , the temperature fluctuation amplitude threshold as , the pressure fluctuation range threshold as and the coefficient of variation threshold of the flow rate as ;

[0143] Based on a series of set thresholds, construct a comprehensive scoring index , and the expression is as follows:

[0144]

[0145] Set a comprehensive evaluation threshold , and judge the overall operating condition according to the value of the comprehensive scoring index; if , the operating condition is good; if , the operating condition is poor, update the pressure model and re - conduct pressure regulation.

[0146] In summary, in the above - mentioned embodiments, the present invention collects multi - dimensional data of the feed water pump and its operating environment in the thermal power plant in real time, constructs a pressure model, calculates the optimal pressure value required by the feed water pump, ensures that the feed water pump can operate stably under various working conditions in the thermal power plant, generates a target pressure instruction, and at the same time uses temperature sensors arranged at specific positions to obtain the actual medium temperature in real time, judges whether it exceeds the range, if normal, continue with the established cooling operation, if too high, execute cooling adjustment to avoid damage to the feed water pump caused by temperature, if too low, execute heating adjustment to avoid waste of resources; after the pressure adjustment is completed, construct a comprehensive scoring index, judge the operating condition according to the comprehensive evaluation threshold, and if it is poor, update the pressure model and re - regulate.

[0147] The above - mentioned are only the preferred embodiments of the present invention, and the protection scope of the present invention is not limited to the above - mentioned embodiments. All technical solutions falling within the idea of the present invention belong to the protection scope of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A feed water pump pressure regulation system based on NB-IOT, characterized in that Including: A data acquisition module, a communication module, an intelligent control module, and a feedback evaluation module; The data acquisition module is used to collect multi-dimensional data of the feed water pump and its operating environment in real time; The communication module is used to build a data transmission channel to receive and transmit data and instructions in each module in real time; The intelligent control module is used to dynamically generate a target pressure instruction and perform synchronous adaptive regulation on the medium temperature; The feedback evaluation module is used to comprehensively evaluate the pressure regulation effect after the pressure regulation is completed.

2. The feed water pump pressure regulation system based on NB-IOT according to claim 1, characterized in that: The intelligent control module includes a pressure control unit and a temperature control unit; The pressure control unit is used to calculate the optimal pressure value required by the feed water pump, convert the optimal pressure value into a corresponding control signal, and generate a target pressure instruction; The temperature control unit is used to monitor the medium temperature after passing through the boiler in real time while adjusting the pressure, and determine temperature anomalies.

3. The feed water pump pressure regulation system based on NB-IOT according to claim 2, characterized in that, The specific steps for generating the target pressure instruction include: Construct a global feature vector and construct a data set based on several samples of the global feature vector ; where is the optimal pressure value of the feed water pump is the target feature vector is the number of samples in the data set is the data set the th sample containing the global feature vector in ; Using a support vector machine to build a pressure model and setting the regression function of the pressure model; Dividing the data set into a training set and a validation set, defining the training objective as minimizing the structural risk function, and training and validating the pressure model; Obtain the target feature vector in real time , generate the optimal pressure value using the pressure model , and calculate the pressure change ; where is the actual pressure value; Set the time interval for pressure adjustment to be , and calculate the rate of pressure rise or fall , and generate a target pressure command.

4. The NB-IOT-based feed pump pressure regulation system according to claim 3, wherein The specific steps for temperature anomaly determination include: Set the normal range of the outlet water as ; where is the lower limit of the outlet water temperature, is the upper limit of the outlet water temperature; Obtain the actual medium temperature in real time , and determine whether the actual medium temperature exceeds the normal range of the outlet water; If the actual medium temperature is normal, perform the established cooling operation; If the actual medium temperature is too high, perform cooling adjustment; If , and the actual medium temperature is too low, perform temperature increase adjustment.

5. The feed water pump pressure regulation system based on NB-IOT according to claim 4, wherein The specific steps for cooling adjustment include: Set the flow rate of the cooling water pump to be , and the rotational speed to be , and construct the function expressions between the flow rate and the cooling effect, and between the rotational speed and the flow rate; Calculate the required increased rotational speed of the cooling water pump ; After cooling down, obtain the actual cooling temperature , and set the cooling temperature threshold as , and determine whether the temperature of the medium after passing through the cooling water tank has been effectively reduced; If , and the cooling effect is good, perform the established stirring and cooling operation; If , the cooling effect is poor. Optimize the stirring cooling.

6. The NB-IoT-based feed water pump pressure regulation system according to claim 5, characterized in that The specific steps for optimizing agitation cooling include: Set the rotational speed of the stirring motor to , and construct a function expression between the rotational speed and the stirring effect; Calculate the increased rotational speed of the stirring motor , and adjust the rotational speed of the stirring motor through the motor controller.

7. The NB-IoT-based feed pump pressure regulation system according to claim 6, characterized in that, The specific steps for heating adjustment include: According to the actual medium temperature and the lower limit of the outlet water temperature, calculate the rotational speed that the cooling water pump needs to reduce .

8. The NB-IOT-based feed pump pressure regulation system according to claim 7, characterized in that: A feedback strategy for evaluating the effect of pressure regulation is configured in the feedback evaluation module; The specific steps of the feedback strategy include: Obtain the actual medium temperature at the inlet of the feed water pump , and set the stable temperature range as ; among them, is the lower limit of the inlet water temperature, is the upper limit of the inlet water temperature; Use a time counter to obtain the time interval for the temperature to return to the stable temperature range ; Record the maximum value of the medium temperature at the water inlet and the minimum value , and calculate the temperature fluctuation range after the temperature adjustment is completed ; Record the maximum value of the feed water pump pressure and the minimum value and calculate the pressure fluctuation range after the temperature regulation ends ; Calculate the coefficient of variation of flow rate ; where is the average value of the flow rate, is the standard deviation of the calculated flow rate; Set the time threshold for the set temperature to return to the normal range as , the temperature fluctuation amplitude threshold as , the pressure fluctuation range threshold as and the flow variation coefficient threshold as , and construct a comprehensive scoring index ; Set the comprehensive evaluation threshold , and judge the overall operation status according to the value of the comprehensive scoring index; if , the operation status is good; if , the operation status is not good, update the pressure model, and re - conduct pressure regulation.

9. The feed water pump pressure regulation method based on NB-IOT is implemented based on the feed water pump pressure regulation system based on NB-IOT as described in any one of claims 1-8, and is characterized in that, Including: Collecting multi-dimensional data of the feed water pump and its operating environment in the thermal power generation process in real time; Dynamically generating and issuing a target pressure instruction, and performing synchronous adaptive regulation on the medium temperature; Evaluating the pressure adjustment effect after each pressure regulation is completed.

10. The method for regulating the pressure of a feed water pump based on NB-IOT according to claim 9, characterized in that, The specific steps for evaluating the pressure adjustment effect include: Obtain the actual medium temperature at the inlet of the feed water pump , and set the stable temperature range; Use a time counter to obtain the time interval for the temperature to return to the stable temperature range ; Calculate the temperature fluctuation amplitude after the temperature regulation ends and the pressure fluctuation range as well as the flow variation coefficient ; Set the time threshold for the set temperature to return to the normal range as , the temperature fluctuation amplitude threshold as , the pressure fluctuation range threshold as and the flow variation coefficient threshold as , and construct a comprehensive scoring index ; Set the comprehensive evaluation threshold , and judge the overall operation status according to the value of the comprehensive scoring index; if , the operation status is good; if , the operation status is not good, update the pressure model, and re - conduct pressure regulation.

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