Nuclear power plant temperature control method and system based on environment temperature field and related equipment

Abstract

The invention provides a nuclear power plant temperature control method and system based on an environment temperature field and related equipment.The method is applied to the nuclear power plant temperature control system based on the environment temperature field, the system comprises a target temperature control space and an air supply module, and distributed temperature measurement optical fiber sensors are arranged on the top of the target temperature control space in a surrounding mode; the method comprises the following steps: acquiring temperature distribution data of a target temperature control space through a distributed temperature measurement optical fiber sensor; based on the temperature distribution data, constructing a target environment temperature field representing the temperature distribution of the target temperature control space; based on a preset temperature threshold value and the target environment temperature field, determining a temperature abnormal area; and controlling an air supply module to supply air according to the temperature abnormal area. According to the invention, the temperature control precision of the nuclear power plant can be improved.

Description

Technical Field

[0001] The present application relates to the field of temperature control of nuclear power plants, and in particular to a temperature control method, system and related equipment for nuclear power plants based on a temperature field. Background Art

[0002] As a complex energy production system, the safe and stable operation of nuclear power plants is highly dependent on the normal operation of various equipment. To ensure the safe operation of equipment, the ambient temperature of the equipment plant needs to be strictly controlled. Too high a temperature can lead to equipment failure or even safety accidents, while too low a temperature will increase the energy consumption of the nuclear power plant.

[0003] In related technologies, nuclear power plants mainly use ventilation systems to control the ambient temperature of plant buildings. The current temperature monitoring solution usually places temperature sensors near large equipment and at the air outlets of ventilation systems. Since the sensors are mainly placed around the equipment, they are easily affected by the local heat generated by the operation of the equipment. The measured temperature data is often higher than the actual average temperature of the plant. Ventilation control based on local temperature data is likely to cause excessive air supply and cannot achieve accurate temperature control of the plant. Summary of the invention

[0004] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application provides a temperature control method, system and related equipment for a nuclear power plant based on an ambient temperature field, which can improve the accuracy of temperature control of a nuclear power plant building.

[0005] In a first aspect, an embodiment of the present application provides a temperature control method for a nuclear power plant based on an ambient temperature field, the method being applied to a temperature control system for a nuclear power plant based on an ambient temperature field, the system comprising a target temperature control space and an air supply module, the top of the target temperature control space being surrounded by a distributed temperature measurement optical fiber sensor, the method comprising:

[0006] The temperature distribution data of the target temperature control space is collected by the distributed temperature measurement optical fiber sensor;

[0007] Based on the temperature distribution data, construct a target ambient temperature field representing the temperature distribution of the target temperature control space;

[0008] Determining an abnormal temperature area based on a preset temperature threshold and the target ambient temperature field;

[0009] According to the abnormal temperature area, the air supply module is controlled to supply air.

[0010] In some embodiments, a plurality of grating temperature sensors are arranged at intervals on the distributed temperature measurement optical fiber sensor, and the target ambient temperature field representing the temperature distribution of the target temperature control space is constructed based on the temperature distribution data, including:

[0011] By using the multiple grating temperature measuring sensors, multiple point temperature data of the target temperature control space are collected;

[0012] Based on the temperature distribution data, construct an initial ambient temperature field representing the temperature distribution of the target temperature control space;

[0013] Based on the multiple point temperature data, the initial ambient temperature field is corrected to obtain the target ambient temperature field.

[0014] In some embodiments, the correcting the initial ambient temperature field based on the plurality of point temperature data to obtain the target ambient temperature field includes:

[0015] Inputting the plurality of point temperature data and the initial ambient temperature field into a pre-trained temperature field correction model;

[0016] Fitting the temperature data of the initial ambient temperature field by the temperature field correction model to obtain temperature fitting data;

[0017] The initial ambient temperature field is corrected based on the fitting data to obtain the target ambient temperature field.

[0018] In some embodiments, the collecting and obtaining the temperature distribution data of the target temperature-controlled space by the distributed temperature-measuring optical fiber sensor includes:

[0019] Collecting backscattered light signals through the distributed temperature measurement optical fiber sensor;

[0020] Demodulating the backscattered light signal to obtain initial temperature distribution data;

[0021] The initial temperature distribution data is subjected to cumulative denoising and wavelet denoising processing to obtain the temperature distribution data.

[0022] In some embodiments, demodulating the backscattered light signal to obtain initial temperature distribution data includes:

[0023] Acquire first channel data and second channel data of the backscattered light signal;

[0024] Based on a dual-path demodulation algorithm, the first channel data and the second channel data are demodulated and analyzed to obtain the initial temperature distribution data.

[0025] In some embodiments, determining the temperature abnormality area based on a preset temperature threshold and the target ambient temperature field includes:

[0026] Performing grid processing on the target temperature control space to obtain a plurality of space grids;

[0027] Calculating a spatial temperature value of each of the spatial grids based on the target ambient temperature field;

[0028] The spatial temperature value is compared with the temperature threshold, and a spatial region where the spatial temperature value exceeds the temperature threshold is determined as the temperature abnormality region.

[0029] In some embodiments, the temperature threshold includes an upper temperature threshold and a lower temperature threshold, and comparing the spatial temperature value with the temperature threshold, and determining the spatial area where the spatial temperature value exceeds the temperature threshold as the temperature abnormal area, includes:

[0030] Determine the spatial grid with a temperature higher than the upper temperature threshold as a high temperature abnormality area;

[0031] Determine the spatial grid below the lower temperature threshold as a low temperature anomaly area;

[0032] The abnormal high temperature region and the abnormal low temperature region are determined as the abnormal temperature region.

[0033] In some embodiments, controlling the air supply module to supply air according to the abnormal temperature area includes:

[0034] Calculating the temperature deviation between each of the temperature abnormality areas and a preset target temperature value;

[0035] Based on the temperature deviation value, determine the air supply strategy corresponding to each of the temperature abnormal areas;

[0036] Based on the air supply strategy, the air supply module is controlled to supply air.

[0037] In some embodiments, the air supply module includes a plurality of air supply submodules, and determining the air supply strategy corresponding to each of the temperature abnormality areas based on the temperature deviation value includes:

[0038] Based on the temperature deviation value, determining the number of air supply submodules to be put into use;

[0039] Based on the temperature deviation value, determining the air supply volume and air supply temperature of the air supply submodule;

[0040] Based on the distribution range of the abnormal temperature area, a combination of air supply submodules is determined.

[0041] In some embodiments, the method of determining the combination of air supply submodules to be put into use based on the distribution range of the temperature abnormality area includes:

[0042] Based on the distribution position of the abnormal temperature area, select an air supply submodule close to the position of the abnormal temperature area to supply air;

[0043] Based on the distribution area of ​​the temperature abnormality region, the number of combinations of the selected air supply submodules is determined.

[0044] In a second aspect, an embodiment of the present application provides a nuclear power plant temperature control system based on an ambient temperature field, which is used to implement the nuclear power plant temperature control method based on an ambient temperature field as described in the first aspect, and the system includes:

[0045] A target temperature-controlled space, wherein a distributed temperature-measuring optical fiber sensor is disposed around the top of the target temperature-controlled space, and a plurality of grating temperature-measuring sensors are disposed at intervals on the distributed temperature-measuring optical fiber sensor;

[0046] An air supply module, used for receiving a control instruction and supplying air to the target temperature-controlled space according to the control instruction;

[0047] Host computer, used for:

[0048] The temperature distribution data of the target temperature control space is collected by the distributed temperature measurement optical fiber sensor;

[0049] Based on the temperature distribution data, construct a target ambient temperature field representing the temperature distribution of the target temperature control space;

[0050] Determining an abnormal temperature area based on a preset temperature threshold and the target ambient temperature field;

[0051] According to the abnormal temperature area, the air supply module is controlled to supply air.

[0052] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements a nuclear power plant temperature control method based on an ambient temperature field as described in any one of the embodiments of the first aspect of the present application.

[0053] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the storage medium stores a program, and the program is executed by a processor to implement a nuclear power plant temperature control method based on an ambient temperature field as described in any one of the embodiments of the first aspect of the present application.

[0054] The temperature control method of a nuclear power plant based on an ambient temperature field according to an embodiment of the present application has at least the following beneficial effects:

[0055] According to the temperature control method of a nuclear power plant based on an ambient temperature field in an embodiment of the present application, the method is applied to a temperature control system of a nuclear power plant based on an ambient temperature field, the system comprising a target temperature control space and an air supply module, the top of the target temperature control space is surrounded by a distributed temperature measuring optical fiber sensor, comprising: collecting temperature distribution data of the target temperature control space through the distributed temperature measuring optical fiber sensor; constructing a target ambient temperature field characterizing the temperature distribution of the target temperature control space based on the temperature distribution data; determining an abnormal temperature area based on a preset temperature threshold and the target ambient temperature field; and controlling the air supply module to supply air according to the abnormal temperature area.

[0056] The present application can realize continuous and real-time monitoring of spatial temperature distribution by surrounding the top of the target temperature control space with distributed temperature measurement optical fiber sensors, avoiding the problem of limited sampling points and uneven distribution of traditional point temperature sensors. Then, based on the collected temperature distribution data, the target environment temperature field is constructed, which can accurately reflect the temperature distribution state and change trend of the entire space. Next, by comparing the target environment temperature field with the preset temperature threshold, the location, range and degree of the temperature abnormality area can be quickly and accurately identified, and the accurate positioning of the temperature abnormality can be achieved. Finally, based on the identified temperature abnormality area information, the air supply module can be targeted to control the air supply adjustment, which can meet the temperature adjustment requirements of different areas by adjusting the number of air supply submodules, and can also achieve accurate temperature control by adjusting the air supply parameters, thereby achieving accurate adjustment of the temperature abnormal area. Compared with the prior art that controls temperature through a fixed air supply mode, the method provided in the embodiment of the present application is based on the global monitoring and precise control of optical fiber sensing, which can realize the precise adjustment of the temperature of the nuclear power plant building and improve the accuracy of the temperature control of the nuclear power plant building.

[0057] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0059] Figure 1 A flow chart of an optional temperature control method for a nuclear power plant based on an ambient temperature field provided in an embodiment of the present application;

[0060] Figure 2 A flow chart of another optional temperature control method for a nuclear power plant based on an ambient temperature field provided in an embodiment of the present application;

[0061] Figure 3A flow chart of another optional temperature control method for a nuclear power plant based on an ambient temperature field provided in an embodiment of the present application;

[0062] Figure 4 A flow chart of another optional temperature control method for a nuclear power plant based on an ambient temperature field provided in an embodiment of the present application;

[0063] Figure 5 A flow chart of another optional temperature control method for a nuclear power plant based on an ambient temperature field provided in an embodiment of the present application;

[0064] Figure 6 A flow chart of another optional temperature control method for a nuclear power plant based on an ambient temperature field provided in an embodiment of the present application;

[0065] Figure 7 A flow chart of another optional temperature control method for a nuclear power plant based on an ambient temperature field provided in an embodiment of the present application;

[0066] Figure 8 A flow chart of another optional temperature control method for a nuclear power plant based on an ambient temperature field provided in an embodiment of the present application;

[0067] Fig. 9 A flow chart of another optional temperature control method for a nuclear power plant based on an ambient temperature field provided in an embodiment of the present application;

[0068] Fig.10 A flow chart of another optional temperature control method for a nuclear power plant based on an ambient temperature field provided in an embodiment of the present application;

[0069] Fig.11 A schematic diagram of a nuclear power plant temperature control system based on an ambient temperature field provided in an embodiment of the present application;

[0070] Fig.12 It is a schematic diagram of the hardware structure of the electronic device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0071] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be understood as limiting the present application.

[0072] In the description of this application, "several" means one or more, "more" means more than two, "greater than", "less than", "exceed", etc. are understood to exclude the number itself, and "above", "below", "within", etc. are understood to include the number itself. If there is a description of "first", "second", it is only used to distinguish the technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0073] In the description of the present application, it should be understood that descriptions involving orientation, such as up, down, left, right, front, back, etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0074] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples" or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0075] In the description of this application, it should be noted that, unless otherwise clearly defined, the terms such as setting, installing, connecting, etc. should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in this application in combination with the specific content of the technical solution. In addition, the identification of specific steps below does not represent a limitation on the order of steps and execution logic. The execution order and execution logic between each step should be understood and inferred with reference to the contents described in the embodiment.

[0076] During the operation of nuclear power plants, various important nuclear power equipment are installed in the equipment plant. In order to ensure the safe and stable operation of these equipment, the plant temperature needs to be strictly monitored and controlled. If the plant temperature is too high, it may cause equipment overheating and cause failures, thus affecting nuclear power safety; if the plant temperature is too low, it will affect nuclear power operation and cause unnecessary energy waste. Therefore, it is of great significance to implement accurate temperature monitoring and control of equipment plants.

[0077] At present, nuclear power plants mainly rely on the ventilation system to control the air supply volume to achieve plant temperature control. In traditional control schemes, the room temperature is usually measured by installing a temperature sensor in the plant. When the plant temperature is detected to be higher than the set value, the ventilation system will increase the air supply volume accordingly until the plant temperature meets the design requirements. However, due to factors such as equipment cost, in actual applications, a plant usually only installs temperature measuring instruments near large equipment and at key locations such as the air outlet of the ventilation system. This point temperature measurement solution has the following technical problems:

[0078] First, the limited number of temperature measurement points cannot accurately represent the overall temperature distribution of the factory. Due to the limited placement of sensors, temperature monitoring is only performed near the equipment, which makes it impossible to fully reflect the temperature distribution of the three-dimensional space of the factory. There may be uneven temperatures in different areas of the same room, which in turn affects the accuracy of temperature control.

[0079] Secondly, the temperature measurement points near the equipment are easily affected by local heat sources. Since large equipment generates heat during operation, the temperature measured by the sensor near the equipment is often higher than the actual average temperature of the room. This temperature measurement deviation will cause the ventilation system to misjudge the actual temperature of the factory, thereby increasing the air supply volume, making the air supply volume far greater than the actual demand, which not only increases the burden on the ventilation system, but also increases the energy consumption of the system operation.

[0080] Therefore, it is urgent to propose a new technical solution to solve these problems existing in the existing plant temperature monitoring and control system.

[0081] Based on this, the present application proposes a temperature control method for a nuclear power plant based on an ambient temperature field. By setting a distributed temperature measurement optical fiber sensor around the top of the target temperature control space, continuous and real-time monitoring of the spatial temperature distribution can be achieved, avoiding the problem of limited sampling points and uneven distribution of traditional point temperature sensors. Then, based on the collected temperature distribution data, the target ambient temperature field is constructed, which can accurately reflect the temperature distribution state and change trend of the entire space. Next, by comparing the target ambient temperature field with the preset temperature threshold, the location, range and degree of the temperature abnormality area can be quickly and accurately identified, and the temperature abnormality can be accurately located. Finally, based on the identified temperature abnormality area information, the air supply module can be targeted to control the air supply adjustment, which can meet the temperature adjustment requirements of different areas by adjusting the number of air supply submodules, and can also achieve accurate temperature control by adjusting the air supply parameters, thereby achieving accurate adjustment of the temperature abnormal area. Compared with the prior art that performs temperature control through a fixed air supply mode, the method provided in the embodiment of the present application is based on the global monitoring and precise control of optical fiber sensing, which can achieve accurate adjustment of the temperature of the nuclear power plant building and improve the accuracy of the temperature control of the nuclear power plant building.

[0082] The temperature control method for a nuclear power plant based on an ambient temperature field proposed in this application is explained in detail below.

[0083] See also Figure 1 The embodiment of the present invention provides a temperature control method for a nuclear power plant based on an ambient temperature field. The method is applied to a temperature control system for a nuclear power plant based on an ambient temperature field. The system includes a target temperature control space and an air supply module. A distributed temperature measurement optical fiber sensor is disposed around the top of the target temperature control space. The method may include, but is not limited to, the following steps 101 to 104:

[0084] Step 101, collecting temperature distribution data of a target temperature control space through a distributed temperature measurement optical fiber sensor.

[0085] Step 102: construct a target ambient temperature field representing the temperature distribution of the target temperature control space based on the temperature distribution data.

[0086] Step 103: determining the temperature abnormality area based on the preset temperature threshold and the target ambient temperature field.

[0087] Step 104, controlling the air supply module to supply air according to the temperature abnormality area.

[0088] Through steps 101 to 104, the embodiment of the present application constructs a target ambient temperature field based on the collected temperature distribution data, which can accurately reflect the temperature distribution state and change trend of the entire space. Next, by comparing the target ambient temperature field with the preset temperature threshold, the location, range and degree of the temperature abnormality area can be quickly and accurately identified, and the accurate positioning of the temperature abnormality is achieved. Finally, based on the identified temperature abnormality area information, the air supply module can be targeted to control the air supply adjustment, which can meet the temperature adjustment requirements of different areas by adjusting the number of air supply sub-modules, and can also achieve accurate temperature control by adjusting the air supply parameters, thereby achieving accurate adjustment of the temperature abnormality area. Compared with the prior art of temperature control through a fixed air supply mode, the method provided in the embodiment of the present application is based on the global monitoring and precise control of optical fiber sensing, which can achieve accurate adjustment of the temperature of the nuclear power plant building and improve the accuracy of the temperature control of the nuclear power plant building.

[0089] In step 101 of some embodiments, the temperature distribution data of the target temperature control space is collected by surrounding the top of the target temperature control space with a distributed temperature measurement optical fiber sensor. The distributed temperature measurement optical fiber sensor is arranged at a position near the air outlet at the top of the target temperature control space and arranged in a surrounding manner. This arrangement makes full use of the physical property of the rise of hot air. Since the hot air has a small density and moves upward, the temperature data collected in the top area can better reflect the temperature distribution of the entire space. Through this arrangement, continuous temperature distribution data of the target temperature control space can be obtained, providing a data basis for the subsequent temperature field construction.

[0090] See also Figure 2 In some embodiments, step 101 may include, but is not limited to, steps 201 to 203 .

[0091] Step 201: Collect backscattered light signals through distributed temperature measurement optical fiber sensors.

[0092] Step 202: demodulate the backscattered light signal to obtain initial temperature distribution data.

[0093] Step 203, performing cumulative denoising and wavelet denoising processing on the initial temperature distribution data to obtain temperature distribution data.

[0094] In step 201 of some embodiments, since the temperature change in the optical fiber will affect the characteristics of the backscattered light signal, the temperature information of the optical fiber location can be indirectly obtained by collecting these scattered light signals. The backscattered light signal carries the temperature information of each position along the optical fiber, providing basic data for subsequent temperature demodulation.

[0095] In step 202 of some embodiments, a dual-path temperature demodulation technique is used to demodulate the collected backscattered light signal. By analyzing characteristic parameters of the backscattered light signal, such as intensity, phase and other information, the light signal is converted into initial data representing the temperature. This demodulation process can realize the conversion from light signal to temperature information and obtain the initial temperature distribution data of the target temperature control space.

[0096] In step 203 of some embodiments, in order to improve the accuracy of temperature measurement, the initial temperature distribution data obtained is subjected to two-step noise reduction processing. First, the data is preliminarily processed using a cumulative denoising algorithm, and the influence of random noise is reduced by accumulating and averaging multiple sampling data; then a wavelet denoising algorithm is used to further eliminate noise, and finally more accurate temperature distribution data is obtained.

[0097] Through step 201 to step 203, the complete process from light signal acquisition to temperature data acquisition is realized, ensuring the accuracy and reliability of the temperature distribution data.

[0098] See also Figure 3 In some embodiments, step 202 may include, but is not limited to, steps 301 to 302.

[0099] Step 301: Acquire first channel data and second channel data of the backscattered light signal.

[0100] Step 302: Based on a dual-path demodulation algorithm, demodulate and analyze the first channel data and the second channel data to obtain the initial temperature distribution data.

[0101] In step 301 of some embodiments, after the distributed temperature measurement optical fiber sensor collects the backscattered light signal, the signal is divided into first channel data and second channel data. This signal splitting process is achieved by an optical splitter, which divides the original backscattered light signal into two independent optical signals according to a preset ratio. The data of the first channel and the second channel have the same temperature information, but due to slight differences in the transmission paths, they may be affected by different environmental interferences. This design utilizes the redundant characteristics of the optical signal. By comparing the data of the two channels, the measurement errors caused by factors such as optical fiber loss and bending can be identified and eliminated.

[0102] In step 302 of some embodiments, a dual-channel demodulation algorithm is used to demodulate and analyze the first channel data and the second channel data. The core principle of the dual-channel demodulation algorithm is to use the data of the two channels for complementary verification. Specifically, the algorithm first performs Fourier transform on the data of each channel respectively, and converts the time domain signal into a frequency domain signal. In the frequency domain, temperature information is mainly reflected in the phase change of the signal, while environmental interference is mostly manifested as amplitude fluctuations. By comparing the phase difference between the two channels in the frequency domain, the algorithm can accurately extract the real temperature information while effectively suppressing the influence of common mode noise. This demodulation method not only improves the accuracy of temperature measurement, but also enhances the system's resistance to external interference.

[0103] Through step 301 to step 302, the entire signal processing process forms a complete dual-channel data acquisition and demodulation link. This solution makes full use of the redundancy of the optical fiber sensing system. Through the branch transmission and phase comparison analysis of the signal, it not only ensures the accuracy of temperature measurement, but also improves the reliability of the system. Compared with single-channel demodulation, the dual-channel demodulation solution can better cope with various interferences and error sources that may be encountered in actual engineering, and provides a high-quality data foundation for the subsequent temperature field construction.

[0104] In step 102 of some embodiments, the collected temperature distribution data is processed to convert these scattered temperature data points into a continuous temperature distribution model, thereby forming a temperature field that can characterize the temperature distribution state of the entire target temperature control space. The construction of this temperature field makes it possible to intuitively grasp the temperature conditions of each area in the target temperature control space, providing a basis for subsequent temperature anomaly judgment.

[0105] See also Figure 4 In some embodiments, a plurality of grating temperature sensors are arranged at intervals on the distributed temperature measurement optical fiber sensor, and step 102 may include, but is not limited to, steps 401 to 403.

[0106] Step 401, collecting multiple point temperature data of the target temperature control space through multiple grating temperature measurement sensors.

[0107] Step 402: construct an initial ambient temperature field representing the temperature distribution of the target temperature control space based on the temperature distribution data.

[0108] Step 403: Based on the multiple point temperature data, the initial ambient temperature field is corrected to obtain the target ambient temperature field.

[0109] In step 401 of some embodiments, the grating temperature sensor can provide high-precision temperature measurement data at a specific location of the target temperature control space as a supplementary means of fixed-point temperature measurement. For example, in a preferred embodiment, the grating temperature sensor can be set at the four wall corners and the middle position of each side of the target temperature control space. This arrangement allows the grating temperature sensor to form a regular grid structure, which not only covers the boundary area of ​​the space, but also takes into account the temperature monitoring requirements of the middle area.

[0110] In step 402 of some embodiments, an initial ambient temperature field characterizing the temperature distribution of the target temperature control space is constructed based on the temperature distribution data obtained in the previous step. This step first spatially maps the continuous temperature data collected by the distributed temperature measurement optical fiber sensor to establish a corresponding relationship between temperature and spatial position. By interpolating and fitting these temperature data, an initial temperature field model that can characterize the temperature distribution state of the entire target temperature control space is formed. Although this initial model has good spatial continuity, it may still have certain measurement errors.

[0111] In step 403 of some embodiments, the initial ambient temperature field is corrected using the point temperature data collected by the grating temperature sensor, thereby obtaining a more accurate target ambient temperature field. This correction process is actually a data fusion process, using the high-precision point temperature measurement data as a reference benchmark to locally adjust and optimize the initial temperature field model. Since the grating temperature sensors are arranged at key positions in space, these point temperature data can effectively constrain and correct the deviations of the initial temperature field at these positions, thereby improving the accuracy of the entire temperature field model.

[0112] See also Figure 5 In some embodiments, step 403 may include, but is not limited to, steps 501 to 503.

[0113] Step 501: input a plurality of point temperature data and an initial ambient temperature field into a pre-trained temperature field correction model.

[0114] Step 502: Fit the temperature data of the initial ambient temperature field through the temperature field correction model to obtain temperature fitting data.

[0115] Step 503: Correct the initial ambient temperature field based on the fitting data to obtain the target ambient temperature field.

[0116] In step 501 of some embodiments, multiple point temperature data collected by the grating temperature sensor and the initial ambient temperature field data are input into a pre-trained temperature field correction model. The temperature field correction model is a neural network model trained based on a deep learning algorithm. It establishes a mapping relationship between the starting point temperature data and the continuous temperature field by learning the temperature distribution law in a large amount of historical data. The training process of the model needs to use a large amount of temperature data including different working conditions and different time periods as training samples to ensure that the model has good generalization ability.

[0117] For example, in a certain equipment building of a nuclear power plant, grating temperature sensors are arranged at the four corners and the midpoints of the four sides, with a total of 8 point temperature measurement locations. The temperature data of these 8 locations, together with the initial temperature field data obtained by distributed optical fiber sensing, are input into the temperature field correction model. This is equivalent to the model providing a temperature map and several precise temperature coordinates, allowing the model to perform intelligent correction based on this information.

[0118] In step 502 of some embodiments, the fitting process is a process in which the temperature field correction model recalculates and optimizes the entire temperature field under the constraints of known point temperature data. The temperature field correction model considers multiple factors such as the continuity of spatial position, the physical laws of temperature change, and the local temperature gradient to generate a temperature distribution that is more in line with the actual situation.

[0119] For example, the temperature field correction model will optimize the entire temperature field based on 8 accurate point temperature values ​​and the physical laws of heat conduction. For example, if the point temperature value of a corner is found to be 2°C higher than the predicted value of the initial temperature field, the temperature field correction model will adjust the temperature value of the surrounding area of ​​the corner accordingly according to the laws of heat conduction, so that the distribution of the entire temperature field is more reasonable.

[0120] In step 503 of some embodiments, the initial ambient temperature field is corrected based on the obtained fitting data, and finally an accurate target ambient temperature field is obtained. This correction process is not a simple data replacement, but an intelligent fusion process. The model will selectively correct and optimize the initial temperature field based on factors such as the credibility of the point temperature data, the importance of the spatial position, and the continuity of the temperature change.

[0121] Through step 501 to step 503, an intelligent temperature field correction process based on machine learning is implemented, which can not only ensure the temperature accuracy of key positions, but also improve the accuracy of the entire temperature field through the intelligent reasoning ability of the model. At the same time, since the model has learning ability, as the usage data accumulates, its correction effect will gradually improve, realizing the continuous optimization of the temperature field monitoring system.

[0122] Through step 401 to step 403, a temperature field model integrating the advantages of distributed temperature measurement and point temperature measurement is constructed. This dual temperature measurement scheme not only ensures the spatial continuity of the temperature field, but also improves the measurement accuracy of key positions through fixed-point correction, providing a reliable data basis for subsequent temperature anomaly judgment.

[0123] In step 103 of some embodiments, by comparing the constructed target ambient temperature field with a preset temperature threshold, an area where the temperature exceeds the preset range can be identified. This comparison process can accurately locate the spatial area that needs to be temperature regulated, providing an accurate target area for subsequent air supply control.

[0124] See also Figure 6 In some embodiments, step 103 may include, but is not limited to, steps 601 to 603.

[0125] Step 601, gridding the target temperature control space to obtain a plurality of space grids.

[0126] Step 602: Calculate the spatial temperature value of each spatial grid based on the target ambient temperature field.

[0127] Step 603: compare the spatial temperature value with the temperature threshold, and determine the spatial area where the spatial temperature value exceeds the temperature threshold as a temperature abnormality area.

[0128] In step 601 of some embodiments, the rasterization process is to discretize the continuous three-dimensional space into a number of regular small cubic units. The precision of this spatial division directly affects the accuracy of subsequent temperature anomaly judgment. For example, a 6m×8m×4m equipment plant can be grid-divided into 2m×2m×2m in size, so that the entire space is divided into 24 regular small cubic units.

[0129] In step 602 of some embodiments, the spatial temperature value of each spatial grid is calculated based on the target ambient temperature field. This step maps the previously constructed continuous temperature field model to the discretized spatial grid. For each grid unit, the representative temperature value of the grid is obtained by taking the value of the temperature field at its spatial position. This calculation method not only retains the spatial distribution characteristics of the temperature field, but also facilitates subsequent numerical comparison and processing.

[0130] In step 603 of some embodiments, the calculated spatial temperature value is compared with a preset temperature threshold value to determine the temperature abnormality area. The comparison process checks the temperature value of each grid cell one by one. If the temperature value of a grid exceeds the preset threshold range, the grid is marked as a temperature abnormality cell. When multiple adjacent temperature abnormality cells are connected together, a complete temperature abnormality area is formed. In this way, all the area ranges that need to be temperature regulated are selected in the three-dimensional space.

[0131] See also Figure 7 In some embodiments, the temperature threshold includes an upper temperature threshold and a lower temperature threshold, and step 603 may include, but is not limited to, steps 701 to 703.

[0132] Step 701: determine the spatial grid with a temperature higher than the upper temperature threshold as a high temperature abnormality area.

[0133] Step 702: determine the spatial grid below the lower temperature threshold as a low temperature abnormality area.

[0134] Step 703: determine the abnormally high temperature region and the abnormally low temperature region as abnormal temperature regions.

[0135] In step 701 of some embodiments, the spatial grid with a temperature higher than the upper temperature threshold is determined as a high temperature abnormal area, with the goal of identifying those spatial areas where the temperature is too high and may affect the safe operation of the equipment. The upper temperature threshold in the equipment plant is set based on the equipment operation specifications and safety requirements. For example, assuming that the maximum allowable ambient temperature of a certain type of equipment is 35°C, the system will mark the grid cells with a temperature exceeding 35°C as high temperature abnormal areas. This high temperature often occurs around large equipment or in areas where heat accumulates and is not easy to dissipate.

[0136] In step 702 of some embodiments, the spatial grid below the lower temperature threshold is determined as a low temperature abnormal area. From the perspective of energy efficiency, this step has important energy-saving significance. When the temperature of some areas is lower than the lower threshold, it means that the cooling or air supply in these areas may be excessive, resulting in energy waste. By timely identifying these low temperature abnormal areas, the air supply volume can be appropriately reduced, thereby achieving the purpose of saving energy.

[0137] In step 703 of some embodiments, the high temperature abnormal area and the low temperature abnormal area are uniformly determined as the temperature abnormal area, but different control strategies are adopted for them. For the high temperature abnormal area, it is necessary to increase the air supply to reduce the temperature; while for the low temperature abnormal area, energy can be saved by reducing the air supply. This differentiated control method not only ensures the heat dissipation requirements of the equipment, but also realizes the efficient use of energy.

[0138] Through the dual-threshold temperature abnormality judgment mechanism from step 701 to step 703, it is possible to simultaneously deal with both overheating and overcooling temperature abnormalities, providing a targeted processing basis for different types of temperature abnormalities, which helps to achieve more accurate and efficient temperature control.

[0139] Through step 601 to step 603, accurate mapping from continuous temperature field to discrete temperature anomaly area is achieved. This rasterization-based processing method has several significant advantages: first, it provides a unified spatial reference framework, making temperature analysis more standardized and controllable; second, rasterization processing simplifies the judgment process of temperature anomaly and makes calculation more efficient; finally, this method can accurately locate and describe the spatial range of temperature anomaly area, providing a clear target area for subsequent air supply control.

[0140] For example, in a certain equipment building of a nuclear power plant, the temperature threshold is set at 26°C. Through grid analysis, it is found that the temperature of multiple grid cells around a certain large equipment has reached 28°C. These grids that exceed the threshold will be marked to form an abnormal temperature area. The staff can intuitively see the location and scope of this area, so as to take targeted cooling measures.

[0141] In step 104 of some embodiments, for the determined temperature abnormality area, the temperature of the area is adjusted by controlling the operating parameters of the air supply module. This air supply control method based on the temperature abnormality area can achieve temperature adjustment for a specific area and improve the pertinence and accuracy of temperature control.

[0142] See also Figure 8 In some embodiments, step 104 may include, but is not limited to, steps 801 to 803.

[0143] Step 801, calculating the temperature deviation value between each temperature abnormality area and a preset target temperature value.

[0144] Step 802: Determine the air supply strategy corresponding to each temperature abnormality area based on the temperature deviation value.

[0145] Step 803: Based on the air supply strategy, control the air supply module to supply air.

[0146] In step 801 of some embodiments, it is necessary to perform accurate temperature deviation calculation for each identified temperature anomaly area. First, read the preset target temperature value, which is usually determined based on the operating requirements of the nuclear power plant equipment and is the optimal temperature range to ensure the safe operation of the equipment. Then, for each temperature anomaly area, obtain the temperature data of all spatial grids in the area, and calculate the average temperature value of the area. The calculation process of this average temperature will take into account the temperature values ​​of all grids in the area, so as to obtain a characteristic value that can represent the temperature state of the entire abnormal area. Finally, subtract the average temperature value from the target temperature value to obtain the temperature deviation value. This deviation value is a signed value. A positive value indicates that the regional temperature is higher than the target temperature and needs to be cooled; a negative value indicates that the regional temperature is lower than the target temperature, and the air supply can be reduced to save energy.

[0147] In step 802 of some embodiments, first, the adjustment direction of the air supply is determined according to the positive or negative value of the temperature deviation, that is, whether the air supply needs to be increased for cooling, or whether the air supply can be reduced to save energy. Secondly, the intensity of the adjustment will be determined according to the absolute size of the temperature deviation value. The larger the deviation value, the more serious the temperature anomaly, and the stronger the adjustment measures that need to be taken. In addition, the spatial position, size and other characteristics of the temperature anomaly area will also be considered. These factors will affect the formulation of the final air supply strategy. For example, for abnormal areas close to large heating equipment, even if the temperature deviation is the same, a larger air supply may be required to ensure the heat dissipation effect.

[0148] In step 803 of some embodiments, the formulated air supply strategy is converted into specific control instructions to guide the air supply module to perform the corresponding air supply operation. This process involves the precise adjustment of multiple control parameters. First, the working state of the air supply module is determined according to the air supply strategy, including which air supply sub-modules to start, adjusting the opening of the air supply port, etc., and then setting specific air supply parameters, such as air supply volume, air supply speed, etc. The setting of these parameters needs to meet the requirements of the air supply strategy, which must be able to effectively adjust the temperature and ensure the efficiency of energy utilization. During the air supply process, the temperature changes can also be monitored in real time, and the air supply parameters can be dynamically adjusted when necessary to ensure the effect of temperature regulation.

[0149] See also Fig. 9In some embodiments, step 803 may include, but is not limited to, steps 901 to 903.

[0150] Step 901, based on the temperature deviation value, determine the number of air supply submodules to be put into use.

[0151] Step 902: Determine the air supply volume and air supply temperature of the air supply submodule based on the temperature deviation value.

[0152] Step 903, based on the distribution range of the temperature abnormality area, determine the combination of the air supply submodules to be put into use.

[0153] In step 901 of some embodiments, when the temperature deviation value is in different intervals, different numbers of air supply submodules are put into use. For example, when the temperature deviation value is within 2°C, one air supply submodule is put into use for temperature adjustment; when the temperature deviation value is between 2°C and 5°C, two air supply submodules are put into use for simultaneous adjustment; when the temperature deviation value exceeds 5°C, three or more air supply submodules are put into use. This gradient control method based on the temperature deviation value can reasonably allocate air supply resources and avoid waste of resources.

[0154] In step 902 of some embodiments, the air supply volume can be set using a proportional regulation principle, such as increasing the air supply volume by 10% for every 1°C temperature deviation. The air supply temperature is usually set within a range of 2-3°C below the target temperature value to ensure the regulation effect. Through this precise parameter setting, each air supply submodule can perform the temperature regulation task in the optimal working state.

[0155] In step 903 of some embodiments, this step needs to consider the characteristics of the temperature abnormality area, such as the location, shape, and size. For multiple temperature abnormality areas dispersed in space, the air supply submodule is selected based on the principle of proximity, so that each air supply submodule is responsible for regulating the abnormal area closest to it. For temperature abnormality areas distributed continuously over a large range, multiple air supply submodules are used to work together to ensure uniformity of air supply coverage through reasonable layout.

[0156] See also Fig.10 In some embodiments, step 903 may include, but is not limited to, steps 1001 to 1002.

[0157] Step 1001, based on the distribution position of the temperature abnormality area, select an air supply submodule close to the position of the temperature abnormality area to supply air.

[0158] Step 1002: Determine the number of combinations of selected air supply submodules based on the distribution area of ​​the temperature abnormality region.

[0159] In step 1001 of some embodiments, the spatial distribution position of the temperature abnormality area refers to the specific position and coordinates of the area in the target temperature control space. This method of selecting the air supply submodule is based on the relationship between the air supply distance and the air supply effect: the shorter the air supply distance, the smaller the air flow attenuation, and the better the temperature regulation effect. The specific selection process will consider the relative position relationship between the air supply submodule and the temperature abnormality area, and give priority to those air supply submodules that can be directly aligned with the abnormal area.

[0160] In step 1002 of some embodiments, the distribution area refers to the actual area occupied by the temperature abnormality area in the space, and this area value directly determines the required air supply coverage. When the area of ​​the temperature abnormality area is small, only one air supply submodule may be needed to meet the regulation requirements; as the area of ​​the abnormal area increases, the number of air supply submodules working in coordination needs to be gradually increased. This area-based module combination method can not only ensure the adequacy of air supply coverage, but also avoid the waste of air supply resources.

[0161] For example, in a 100-square-meter equipment plant, a 30-square-meter temperature abnormal area is detected in the northwest corner. First, based on the location characteristics of the abnormal area, the air supply submodules on the west and north sides will be preferred because these two modules are closest to the abnormal area and can provide the most direct air supply effect. Since the area of ​​the abnormal area is 30 square meters, according to the aforementioned area division principle, the two air supply submodules need to be enabled at the same time for coordinated air supply.

[0162] Through step 1001 to step 1002, accurate control of the air supply submodule combination mode can be achieved. This method not only ensures the accuracy of air supply, but also improves the efficiency of temperature regulation, and is particularly suitable for scenes such as nuclear power plant equipment workshops that require high temperature control accuracy.

[0163] Through steps 901 to 903, accurate temperature regulation can be achieved at three levels: the number of air supply submodules, air supply parameters, and combination methods. This multi-dimensional control strategy not only ensures the accuracy of temperature control, but also improves the efficiency of energy use. Based on real-time temperature monitoring results, various control parameters can be dynamically adjusted to ensure the continuity and stability of the temperature regulation effect.

[0164] From step 801 to step 803, starting from the accurate calculation of temperature deviation, through reasonable strategy formulation, accurate control of air supply equipment is finally achieved. This partition control method based on temperature deviation can not only accurately identify and handle temperature abnormalities, but also achieves accurate temperature control and efficient energy utilization through reasonable air supply strategy formulation and execution.

[0165] See also Fig.11The embodiment of the present application further provides a nuclear power plant temperature control system based on an ambient temperature field, which can implement the above-mentioned nuclear power plant temperature control method based on an ambient temperature field, including:

[0166] A target temperature control space 100, a distributed temperature measurement optical fiber sensor 110 is disposed around the top of the target temperature control space, and a plurality of grating temperature measurement sensors 120 are disposed at intervals on the distributed temperature measurement optical fiber sensor 110;

[0167] An air supply module (not shown) is used to receive control instructions and supply air to the target temperature-controlled space according to the control instructions;

[0168] Host computer 200, used for:

[0169] The temperature distribution data of the target temperature control space is collected by the distributed temperature measurement optical fiber sensor 110;

[0170] Based on the temperature distribution data, a target ambient temperature field is constructed to characterize the temperature distribution of the target temperature control space;

[0171] Based on the preset temperature threshold and the target ambient temperature field, determine the temperature abnormality area;

[0172] According to the abnormal temperature area, the air supply module is controlled to supply air.

[0173] According to the temperature control method of a nuclear power plant based on an ambient temperature field in an embodiment of the present application, the method is applied to a temperature control system of a nuclear power plant based on an ambient temperature field, the system comprising a target temperature control space and an air supply module, the top of the target temperature control space is surrounded by a distributed temperature measuring optical fiber sensor, comprising: collecting temperature distribution data of the target temperature control space through the distributed temperature measuring optical fiber sensor; constructing a target ambient temperature field characterizing the temperature distribution of the target temperature control space based on the temperature distribution data; determining an abnormal temperature area based on a preset temperature threshold and the target ambient temperature field; and controlling the air supply module to supply air according to the abnormal temperature area.

[0174] The present application can realize continuous and real-time monitoring of spatial temperature distribution by surrounding the top of the target temperature control space with distributed temperature measurement optical fiber sensors, avoiding the problem of limited sampling points and uneven distribution of traditional point temperature sensors. Then, based on the collected temperature distribution data, the target environment temperature field is constructed, which can accurately reflect the temperature distribution state and change trend of the entire space. Next, by comparing the target environment temperature field with the preset temperature threshold, the location, range and degree of the temperature abnormality area can be quickly and accurately identified, and the accurate positioning of the temperature abnormality can be achieved. Finally, based on the identified temperature abnormality area information, the air supply module can be targeted to control the air supply adjustment, which can meet the temperature adjustment requirements of different areas by adjusting the number of air supply submodules, and can also achieve accurate temperature control by adjusting the air supply parameters, thereby achieving accurate adjustment of the temperature abnormal area. Compared with the prior art that controls temperature through a fixed air supply mode, the method provided in the embodiment of the present application is based on the global monitoring and precise control of optical fiber sensing, which can realize the precise adjustment of the temperature of the nuclear power plant building and improve the accuracy of the temperature control of the nuclear power plant building.

[0175] Reference Fig.12 , Fig.12 The hardware structure of an electronic device of another embodiment is illustrated, and the electronic device includes:

[0176] The processor 1201 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0177] The memory 1202 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 1202 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 1202, and the processor 1201 calls and executes the temperature control method of a nuclear power plant based on an ambient temperature field in the embodiment of this application;

[0178] Input / output interface 1203, used to implement information input and output;

[0179] The communication interface 1204 is used to realize the communication interaction between the device and other devices. The communication can be realized through a wired manner (such as USB, network cable, etc.) or a wireless manner (such as mobile network, Wi-Fi, Bluetooth, etc.);

[0180] A bus 1205 that transmits information between various components of the device (e.g., the processor 1201, the memory 1202, the input / output interface 1203, and the communication interface 1204);

[0181] The processor 1201 , the memory 1202 , the input / output interface 1203 and the communication interface 1204 are connected to each other in communication within the device via the bus 1205 .

[0182] The embodiment of the present application further provides a computer program product, which includes a computer program. The processor of the computer device reads and executes the computer program, so that the computer device executes the above-mentioned nuclear power plant temperature control method based on the ambient temperature field.

[0183] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present disclosure 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 disclosure described herein can, for example, be implemented in an order other than those illustrated or described herein. In addition, the terms "comprises" and "comprising" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device 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 units that are not clearly listed or inherent to these processes, methods, products or devices.

[0184] It should be understood that in the present disclosure, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one item (one) of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0185] It should be understood that in the description of the embodiments of the present application, the meaning of multiple (or multiple items) is more than two, greater than, less than, exceed, etc. are understood to not include the number, and above, below, within, etc. are understood to include the number.

[0186] In the several embodiments provided in the present disclosure, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0187] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0188] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0189] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present disclosure is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present disclosure. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store program codes.

[0190] It should also be understood that the various implementations provided in the embodiments of the present application can be combined arbitrarily to achieve different technical effects.

[0191] The above is a specific description of the implementation methods of the present disclosure, but the present disclosure is not limited to the above implementation methods. Technical personnel familiar with the art can also make various equivalent modifications or substitutions without violating the spirit of the present disclosure. These equivalent modifications or substitutions are all included in the scope defined by the claims of the present disclosure.

Claims

1. A temperature control method for a nuclear power plant based on an ambient temperature field, the method being applied to a temperature control system for a nuclear power plant based on an ambient temperature field, the system comprising a target temperature control space and an air supply module, the top of the target temperature control space being surrounded by a distributed temperature measurement optical fiber sensor, characterized in that: The method comprises: The temperature distribution data of the target temperature control space is collected by the distributed temperature measurement optical fiber sensor; Based on the temperature distribution data, construct a target ambient temperature field representing the temperature distribution of the target temperature control space; Determining an abnormal temperature area based on a preset temperature threshold and the target ambient temperature field; According to the abnormal temperature area, the air supply module is controlled to supply air.

2. The temperature control method for a nuclear power plant based on an ambient temperature field according to claim 1, characterized in that: On the distributed temperature measurement optical fiber sensor, a plurality of grating temperature measurement sensors are arranged at intervals. Based on the temperature distribution data, a target ambient temperature field representing the temperature distribution of the target temperature control space is constructed, including: By using the multiple grating temperature measuring sensors, multiple point temperature data of the target temperature control space are collected; Based on the temperature distribution data, construct an initial ambient temperature field representing the temperature distribution of the target temperature control space; Based on the multiple point temperature data, the initial ambient temperature field is corrected to obtain the target ambient temperature field.

3. The temperature control method for a nuclear power plant based on an ambient temperature field according to claim 2, characterized in that: The correcting the initial ambient temperature field based on the plurality of point temperature data to obtain the target ambient temperature field comprises: Inputting the plurality of point temperature data and the initial ambient temperature field into a pre-trained temperature field correction model; Fitting the temperature data of the initial ambient temperature field by the temperature field correction model to obtain temperature fitting data; The initial ambient temperature field is corrected based on the fitting data to obtain the target ambient temperature field.

4. The temperature control method for a nuclear power plant based on an ambient temperature field according to claim 1, characterized in that: The temperature distribution data of the target temperature control space is collected by the distributed temperature measurement optical fiber sensor, including: Collecting backscattered light signals through the distributed temperature measurement optical fiber sensor; Demodulating the backscattered light signal to obtain initial temperature distribution data; The initial temperature distribution data is subjected to cumulative denoising and wavelet denoising processing to obtain the temperature distribution data.

5. The temperature control method for a nuclear power plant based on an ambient temperature field according to claim 4, characterized in that: The demodulating the backscattered light signal to obtain initial temperature distribution data includes: Acquire first channel data and second channel data of the backscattered light signal; Based on a dual-path demodulation algorithm, the first channel data and the second channel data are demodulated and analyzed to obtain the initial temperature distribution data.

6. The temperature control method for a nuclear power plant based on an ambient temperature field according to claim 1, characterized in that: The determining of the temperature abnormality area based on the preset temperature threshold and the target ambient temperature field includes: Performing grid processing on the target temperature control space to obtain a plurality of space grids; Calculating a spatial temperature value of each of the spatial grids based on the target ambient temperature field; The spatial temperature value is compared with the temperature threshold, and a spatial region where the spatial temperature value exceeds the temperature threshold is determined as the temperature abnormality region.

7. The temperature control method for a nuclear power plant based on an ambient temperature field according to claim 6, characterized in that: The temperature threshold includes an upper temperature threshold and a lower temperature threshold, and comparing the spatial temperature value with the temperature threshold, and determining a spatial region where the spatial temperature value exceeds the temperature threshold as the temperature abnormal region, includes: Determine the spatial grid with a temperature higher than the upper temperature threshold as a high temperature abnormality area; Determine the spatial grid below the lower temperature threshold as a low temperature anomaly area; The abnormal high temperature region and the abnormal low temperature region are determined as the abnormal temperature region.

8. The temperature control method for a nuclear power plant based on an ambient temperature field according to claim 1, characterized in that: The controlling the air supply module to supply air according to the abnormal temperature area includes: Calculating the temperature deviation between each of the temperature abnormality areas and a preset target temperature value; Based on the temperature deviation value, determine the air supply strategy corresponding to each of the temperature abnormal areas; Based on the air supply strategy, the air supply module is controlled to supply air.

9. The temperature control method for a nuclear power plant based on an ambient temperature field according to claim 8, characterized in that: The air supply module includes a plurality of air supply submodules, and the air supply strategy corresponding to each temperature abnormal area is determined based on the temperature deviation value, including: Based on the temperature deviation value, determining the number of air supply submodules to be put into use; Based on the temperature deviation value, determining the air supply volume and air supply temperature of the air supply submodule; Based on the distribution range of the abnormal temperature area, a combination of air supply submodules is determined.

10. The temperature control method for a nuclear power plant based on an ambient temperature field according to claim 9, characterized in that: The method of determining the combination of air supply submodules to be put into use based on the distribution range of the abnormal temperature area includes: Based on the distribution position of the abnormal temperature area, select an air supply submodule close to the position of the abnormal temperature area to supply air; Based on the distribution area of ​​the temperature abnormality region, the number of combinations of the selected air supply submodules is determined.

11. A temperature control system for a nuclear power plant based on an ambient temperature field, characterized in that: The nuclear power plant temperature control system is used to implement the nuclear power plant temperature control method according to any one of claims 1 to 10, comprising: A target temperature-controlled space, wherein a distributed temperature-measuring optical fiber sensor is disposed around the top of the target temperature-controlled space, and a plurality of grating temperature-measuring sensors are disposed at intervals on the distributed temperature-measuring optical fiber sensor; An air supply module, used for receiving a control instruction and supplying air to the target temperature-controlled space according to the control instruction; Host computer, used for: The temperature distribution data of the target temperature control space is collected by the distributed temperature measurement optical fiber sensor; Based on the temperature distribution data, construct a target ambient temperature field representing the temperature distribution of the target temperature control space; Determining an abnormal temperature area based on a preset temperature threshold and the target ambient temperature field; According to the abnormal temperature area, the air supply module is controlled to supply air.

12. An electronic device, characterized in that: include: A memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the temperature control method for a nuclear power plant based on an ambient temperature field as described in any one of claims 1 to 10 is implemented.

13. A computer-readable storage medium, characterized in that: The storage medium stores a program, and the program is executed by a processor to implement the temperature control method of a nuclear power plant based on an ambient temperature field as described in any one of claims 1 to 10.

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