TWI782771B - Artificial intelligence system applied to the decommissioning of nuclear power plants and the analysis method thereof - Google Patents

Abstract

The present invention is an artificial intelligence system and its analysis method applied to the decommissioning of nuclear power plants. It is installed in a nuclear power plant and includes a computing host, a scanning module, a radiation measurement device and external devices. After the computing host superimposes the regional image and radiation parameters, the radiation value range is generated. The computing host uses the artificial intelligence analysis unit to analyze according to the radiation value range. The artificial intelligence analysis unit analyzes the radiation intensity distribution according to the radiation value range. The artificial intelligence analysis unit calculates the polluted area according to the intensity value of the radiation intensity distribution. The artificial intelligence analysis unit judges the object parameters in the contaminated area, and calculates the packaging parameters based on the object parameters.

Description

Artificial Intelligence System and Analysis Method Applied to Nuclear Power Plant Decommissioning

The present invention relates to a system and its method, especially an artificial intelligence system and its analysis method applied to the decommissioning of nuclear power plants.

A nuclear power plant, also known as a nuclear power plant or a nuclear power plant, is a thermal power plant that uses nuclear reactions as its heat source. Nuclear power plants are high-efficiency energy constructions that emit almost zero greenhouse gas and carbon dioxide emissions. However, the construction cost of nuclear power plants is high. The technical requirements are high, and the maintenance cost is also high. In the case of good control and the surrounding emergency response system, nuclear power plants are actually quite safe facilities.

Nuclear power generation is generated by the energy generated when the nuclear structure changes due to nuclear fission or nuclear fusion. The above-mentioned concept of nuclear fusion is to form a larger nucleus from two smaller nuclei. The atomic nucleus releases energy during the fusion process of two small nuclei. Theoretically speaking, the energy produced by nuclear fusion should be greater than the energy produced by nuclear fission. More electricity.

Because of this, nuclear power plants are currently using the technology of nuclear fission. Nuclear fission is the splitting of a larger nucleus into two smaller nuclei. Compared with nuclear fusion, nuclear fission will produce huge The energy is converted into electricity through the heat generated by this splitting process.

At present, nuclear power generation in the world mainly uses uranium-235, a radioactive substance, for nuclear fission reactions. The mined uranium ore is refined and enriched to make fuel rods that can be used for nuclear power generation (the concentration of uranium is about 3%. ), put the fuel rods into the reactor, and generate heat after the nuclear fission reaction, so that the steam generated by the heat drives the generator to generate electricity.

However, in the process of nuclear power generation, from uranium mining, uranium enrichment, to the operation of the reactor, in the process of processing and finally to the decommissioning of the reactor, and the entire process of the nuclear fuel cycle, nuclear energy that is harmful to the human body and the environment will be produced. Waste, this kind of nuclear waste contains radioactivity, also known as radioactive waste. Long-term exposure to this radioactive environment will cause distortion of human cells and cause health effects.

Nuclear waste can be divided into low-level nuclear waste and intermediate-level nuclear waste. Low-level nuclear waste includes paper, cloth, tools, clothing or filters used in nuclear power plants. The current treatment method is buried in landfills, while Intermediate nuclear waste includes synthetic resins, chemical sludge, metal sheaths of spent fuel rods, and decommissioned reactor components in nuclear power plants.

The above-mentioned reactor components after the decommissioning of the nuclear power plant involve radioactive substances and radiation doses, so the decommissioning of the nuclear power plant is compared with the dismantling of factories or facilities in other industries, and more people are exposed to radiation exposure risks caused by ionizing radiation. It is labor-intensive to carry out and therefore results in radiation doses absorbed by the decommissioning workers on site.

According to the current existing technology, the radiation detection equipment is used to detect the radiation before scraping, and then the concrete surface contamination is scraped by the concrete decontamination scraping equipment, and at the same time, the scraped contaminated concrete debris is sucked In this way, the three tasks of radiation detection before scraping, surface contamination of concrete surface scraping and radiation detection after scraping can be completed at one time, so as to reduce The amount of contaminated concrete waste, reduction of treatment costs, reduction of detection operations after a large number of decontamination, reduction of personnel exposure dose and the effect of meeting the principle of reasonable suppression of radiation protection.

However, according to the current existing technology, although the radiation detection equipment can be used for radiation detection, it does not further optimize the calculation and setting of the radiation amount, and further divides and divides the radiation amount through the detected radiation amount in real time. Analysis of storage, capacity and containers.

However, the previous technology did not use image capture devices, structured light scanning devices and other equipment to directly build the site, so users need to enter the site, which may easily cause site users to be exposed to radiation pollution.

For this reason, how to deal with radiation pollution sources in decommissioned nuclear power plants, reduce the exposure of processing personnel to dangerous environments, and at the same time improve the decommissioning efficiency of nuclear power plants and shorten the decommissioning time schedule is what those skilled in the art want to solve The problem.

An object of the present invention is to provide an artificial intelligence system and its analysis method applied to the decommissioning of nuclear power plants, which is to construct decommissioned nuclear power generation through image capture devices, 3D structured light object scanning and radiation dose measurement devices The image of the factory area, and the image of the nuclear power plant area is transmitted to the computing host, and the artificial intelligence analysis unit in the computing host calculates the optimal ability to cut the area containing radiation pollution, as well as the packaging conditions.

For the above purpose, the present invention provides an artificial intelligence analysis method applied to the decommissioning of nuclear power plants. The steps include scanning a nuclear power plant through a scanning module to generate an image of an area, and then transmitting the image of the area to a computing host ; Use a radiation measurement device to measure a plurality of radiation parameters produced in multiple areas of the nuclear power plant, and transmit these radiation parameters to the computing host; the computing host will image the area and the radiation parameters After overlapping, a radiation value range is generated; the computing host uses an artificial intelligence analysis unit to analyze the radiation value range to obtain a radiation intensity distribution; the artificial intelligence analysis unit calculates and obtains at least A polluted area; an object parameter of the at least one polluted area is judged by the artificial intelligence analysis unit, and a packaging parameter is calculated according to the object parameter.

The present invention provides an embodiment, wherein after a region image is generated by scanning a nuclear power plant through a scanning module, the step of transmitting the region image to a computing host, the scanning module includes a 3D scanning device and an image capture Take the device.

The present invention provides an embodiment, wherein the 3D scanning device is a 3D laser scanning device or a 3D structured light scanning device.

The present invention provides an embodiment, wherein after a nuclear power plant is scanned by a scanning module to generate an area image, the area image is transmitted to a computing host, and the computing host is a personal computer or a server.

The present invention provides an embodiment, wherein in the step of using a radiation measuring device to respectively measure a plurality of radiation parameters generated in a plurality of areas of the nuclear power plant, the radiation parameters respectively include a radiation amount and a radiation coordinate value

The present invention provides an embodiment, wherein an object parameter of the at least one polluted area is judged by the artificial intelligence analysis unit, and in the step of calculating a packaging parameter according to the object parameter, the object parameter includes an object specific activity and a Object volume.

The present invention provides an embodiment, wherein after the step of determining an object parameter of the at least one polluted area through the artificial intelligence analysis unit, and calculating a packaging parameter according to the object parameter, the steps include: the artificial intelligence analysis unit according to the packaging parameter A packing result is calculated according to the volume of a packing container or the specific activity of a filling, wherein the packing result is a value of a packing container.

The present invention provides an embodiment, wherein the artificial intelligence analysis unit transmits the packaging parameters to an external device, and the external device is a mechanical arm or a virtual robot.

The present invention provides an embodiment, wherein when one of the packaging parameters, one of the volume of the packaging container or the specific activity of a filling, reaches a threshold value, after the step of packaging the packaging container, the steps include: when The volume of the packaging container of the pollutant cut by the external device, the radiation amount of the surface of the packaging container, or the specific activity of the filling is greater than a threshold value; the external device generates a message, and sends the message back to the artificial intelligence an analysis unit; the artificial intelligence analysis unit analyzes and calculates an optimal segmentation and packaging parameter; transmits the optimal segmentation and packaging parameter to the external device; and the external device divides the pollution according to the optimal segmentation and packaging parameter area, and fill the contaminated area into the packaging container.

For the above-mentioned purpose, the present invention provides that it is installed in a nuclear power plant, and it includes a computing host, which includes an artificial intelligence analysis unit; a scanning module, which includes a 3D scanning device and an image capture device, the 3D scanning module and the image capture device are electrically connected to the computing host, and the scanning module is used to scan the nuclear power plant and generate an area image; a radiation measurement device, which is electrically connected On the computing host, the radiation measuring device is used to measure a plurality of radiation parameters produced in a plurality of areas of the nuclear power plant; and an external device, which is electrically connected to the computing host; wherein, the computing host will After the regional image and the radiation parameters are superimposed, a radiation value range is generated. The computing host uses an artificial intelligence analysis unit to analyze according to the radiation value range, which is used to obtain a radiation intensity distribution. According to the radiation intensity distribution At least one polluted area is obtained, an object parameter of the at least one polluted area is judged by the artificial intelligence analysis unit, and a packaging parameter is calculated according to the object parameter.

The present invention provides an embodiment, wherein the computing host is a personal computer or a server.

The present invention provides an embodiment, wherein the radiation parameters respectively include a radiation amount and a radiation coordinate value.

In order to enable your review committee members to have a further understanding and understanding of the characteristics of the present invention and the achieved effects, I would like to provide a better embodiment and a detailed description, as follows:

It is known that in the method of dealing with radiation pollution sources in decommissioned nuclear power plants, according to the current existing technology, there is no equipment such as image capture devices and structured light scanning devices to directly construct the site, so users need to enter In the field, it is easy to cause the site users to be exposed to radiation pollution. Moreover, although the radiation detection equipment can be used for radiation detection, it does not further optimize the calculation and setting of the radiation amount, and the detected radiation can be transmitted immediately. Quantity for further segmentation, storage, capacity and container analysis.

The present invention uses the image capture device and the 3D scanning device to model the appearance and size of the demolished object, and then uses the radiation measurement device to measure the object, and compares the measured value with the 3D scanning device according to the image capture device. Combined with the data, the artificial intelligence analysis unit is used to optimize the classification and cutting analysis of multiple conditions, and provide classification and cutting suggestions to shorten the decommissioning work schedule of nuclear power plants and reduce the exposure time of workers to the radiation environment.

Hereinafter, the present invention will be described in detail by illustrating various embodiments of the present invention by means of the accompanying drawings. Inventive concepts may, however, be embodied in many different forms and should not be construed as limited to the illustrative embodiments set forth herein.

First of all, please refer to Fig. 1A, which is a schematic flow chart of the steps of one embodiment of the present invention, and Fig. 2, which is a schematic diagram of the system of one embodiment of the present invention, as shown in the figure, the steps of this embodiment:

Step S10: After the area image is generated by scanning the nuclear power plant through the scanning module, the area image is transmitted to the computing host;

Step S20: Use the radiation measuring device to measure the radiation parameters generated in the area of the nuclear power plant, and transmit the radiation parameters to the computing host;

Step S30: The computing host superimposes the area image and the radiation parameters to generate a radiation value range;

Step S40: The computing host uses the artificial intelligence analysis unit to analyze according to the radiation value range, which is used to obtain the radiation intensity distribution;

Step S50: the artificial intelligence analysis unit calculates and obtains the contaminated area according to the intensity value of the radiation intensity distribution; and

Step S60: Judging the object parameters of the polluted area through the artificial intelligence analysis unit, and calculating the packaging parameters according to the object parameters.

As described in steps S10 to S60, in this embodiment, a nuclear power plant is scanned by a scanning module 20 to generate an area image, and then the area image is transmitted to a computing host 10, and then a radiation measurement device 30 is used Measuring multiple radiation parameters generated in multiple areas of the nuclear power plant, and transmitting these radiation parameters to a computing host 10, the computing host 10 superimposes the image of the area and the radiation parameters to generate A radiation value range, the computing host 10 uses an artificial intelligence analysis unit 12 to analyze according to the radiation value range to obtain a radiation intensity distribution, and the artificial intelligence analysis unit 12 calculates and obtains at least one pollution according to an intensity value of the radiation intensity distribution In the area, an object parameter of the at least one polluted area is judged by the artificial intelligence analysis unit 12, and a packaging parameter is calculated according to the object parameter.

Wherein, in this embodiment, the scanning module 20 includes a 3D scanning device 22 and an image capture device 24 , further, the 3D scanning device 22 uses a 3D structured light scanning device or a 3D laser scanning device.

At present, the technology of 3D scanning device is mature. The 3D scanning device 22 is used to detect and analyze the shape of objects or the environment. The data collected through the 3D scanning device 22 are often used as calculations for 3D reconstruction in the virtual world. At present, its applications can be seen in industrial design, defect detection, reverse engineering, robot guidance, geomorphological measurement, medical information, biological information, criminal identification, digital cultural relics collection, film production, game creation materials, etc. .

Therefore, this embodiment uses the 3D scanning device 22 to scan the environmental structure of the nuclear power plant, and then combines the image capture device 24 to obtain the environmental image of the nuclear power plant, and superimposes the scanned environmental structure and the environmental image Afterwards, the area image is formed, wherein the area image includes an area image coordinate value.

Next, in this embodiment, the computing host 10 is a personal computer or a server, and these radiation parameters respectively include a radiation amount and a radiation coordinate value. In the above steps, the area is imaged through the computing host 10 After the radiation parameters are superimposed, that is, the radiation value range is generated by superimposing the radiation coordinate value corresponding to the image coordinate value of the area, and then analyzed by the artificial intelligence analysis unit 12 according to the radiation value range to obtain the radiation value intensity distribution.

Wherein, the artificial intelligence analysis unit 12 is to analyze and calculate by the existing algorithm, wherein, the algorithm for processing the image calculation part uses the YOLO (You only look once, referred to as YOLO) algorithm, combined with the convolutional neural network (Convolutional Neural Networks, referred to as CNN), YOLO algorithm (V1 to V4) is a neural network algorithm such as object detection, which can perform object tracking, detection and judgment for each object in the image, CNN is a feed-forward neural network. Its artificial neurons can respond to surrounding units within a part of the coverage area, and it has excellent performance for large-scale image processing.

In this embodiment, the calculation of the radiation intensity distribution of the nuclear power plant can be performed through the YOLO algorithm and the convolutional neural network. However, the above-mentioned YOLO algorithm and the convolutional neural network are one of the preferred embodiments of the present invention. In an embodiment, an existing algorithm such as Monte Carlo, GNN, SSD, VGG16, RESNET50, Logistic Regression or LSDM may be used, not limited to the aforementioned YOLO or CNN.

Wherein, the artificial intelligence analysis unit 12 obtains the at least one polluted area according to the intensity value of the radiation intensity distribution, and the intensity value of the radiation intensity distribution defined here is greater than 1x10 ² (Bq/Kg), wherein the aforementioned Specific activity, also known as specific radioactivity, refers to the ratio of the radioactive activity of a radioactive source to its quality, that is, the radioactivity of a certain nuclide contained in a unit quality product.

Wherein, the above-mentioned object parameters include an object volume and an object specific activity, that is to say, when the artificial intelligence analysis unit 12 obtains the at least one polluted area, the artificial intelligence analysis unit 12 calculates the object according to the object parameter The volume and the specific activity of the object are used to calculate the packaging parameters when a component in the at least one contaminated area is to be packaged.

Further include steps:

Step S65: The artificial intelligence analysis unit calculates the encapsulation result according to the encapsulation parameters such as the volume of the encapsulation container or the specific activity of the filling.

And in step S65, the present embodiment uses the artificial intelligence analysis unit 12 to calculate a packaging result based on the packaging parameter, one of the packaging container volume or the specific activity of a filling, wherein the packaging result is a packaging container value, The packaging container quantity is the quantity of the packaging container, and how many packaging containers 60 are needed are calculated by the volume of the object of the element in the at least one contaminated area and the specific activity of the object.

Next, in this embodiment, please refer to FIG. 1B, which is a schematic flow chart of the encapsulation procedure of an embodiment of the present invention, and refer to FIG. 2 together, after step S60, including step S70 to step S90, the step as follows:

Step S70: the artificial intelligence analysis unit transmits the packaging parameters to the external device;

Step S80: The external device divides the contaminated area according to the packaging parameters, and fills the contaminated area into the packaging container; and

Step S90: When the specific activity of the object or the volume of the object meets the threshold value of one of the volume of the packaging container or the specific activity of the filling of the packaging parameter, the external device performs a packaging process on the packaging container.

Going to the steps shown in step S70 to step S90, the artificial intelligence analysis unit 12 of this embodiment transmits the packaging parameter to an external device 50, and the external device 50 divides the at least one contaminated area according to the packaging parameter, and the At least one contaminated region of the component is filled into a packaging container 60 .

Then, transmit the packaging parameters to the external device 50 of the nuclear power plant, so that the external device 50 uses this as a basis to segment the element of the at least one contaminated area, and then divide the segmented part of the at least one contaminated area. Components are filled into the packaging container 60, wherein the external device 50 is a mechanical arm or a virtual robot, and the packaging container 60 is a drum container made of steel, concrete or lead.

Wherein, in the step shown in step S90, when the above-mentioned specific activity of the object or the volume of the object meets one of the threshold values of the packaging parameter, the volume of the packaging container or the specific activity of a filling, the external The device 50 performs a packaging process on the packaging container 60 .

Furthermore, step S95 is included after step S90, and the steps are as follows:

Step S95: The external device measures the surface radiation amount of the packaging container for the packaging container that has completed the packaging process, wherein the surface radiation value of the packaging container is smaller than a preset value.

Therefore, when one of the conditions of the volume of the packaging container or the specific activity of the filling exceeds the maximum value, the external device 50 will perform the packaging process on the packaging container 60, and at the same time, after the packaging process, the external device 50 It will also measure the surface radiation of the packaging container to measure whether the surface radiation of the packaging container 60 is less than a preset value after the packaging is completed. When the surface radiation value of the packaging container is less than the preset value, the Follow-up treatment.

Please refer to Table 1 for the volume of the packaging container, the radiation amount of the surface of the packaging container, or the specific activity of the filling. Table 1 shows the packaging parameters of the packaging container 60 . container number Volume (m ³ ) Filling specific activity (Bq/kg) Surface radiation of packaging container (uSv/h) Loading weight (t) Packaging container material X5 6.5 1x10 ⁶ 300 25 steel X4 3.7 1x10 ⁸ 250 12 concrete and steel X3 3.1 5x10 ⁸ 235 10 concrete and steel X2 2.1 2x10 ¹⁰ 190 5 concrete and steel X1 2.7 2x10 ¹¹ 215 5 steel and lead Table 1 Packaging Parameters of Packaging Containers

Wherein, it can be seen from Table 1 that the threshold value of the volume of the packaging container is between 2.1 and 6.5 (m ³ ), and the threshold value of the specific activity of the filling is between 1x10 ⁴ and 2x10 ¹¹ ( Bq/kg), the preset value of the surface radiation of the packaging container is between 100 and 300 (uSv/h).

In addition, please refer to FIG. 1C, which is a schematic flow chart of the steps of an embodiment of the present invention. As shown in the figure, after step S90, the steps include:

Step S100: When the volume of the packaging container of the pollutants cut by the external device, the radiation amount on the surface of the packaging container, or the specific activity of the filling is greater than the threshold value;

Step S110: the external device generates a message, and sends the message back to the artificial intelligence analysis unit;

Step S120: the artificial intelligence analysis unit analyzes and calculates the optimal segmentation and packaging parameters;

Step S130: Transmitting the optimal segmentation and packaging parameters to an external device; and

Step S140: The external device divides the contaminated area according to the optimized segmentation and packaging parameters, and fills the contaminated area into the packaging container.

That is to say, when the component of the at least one contaminated area cut by the external device 50 is too large to be accommodated in the packaging container 60 in Table 1, at this time, the external device 50 will generate a message and send the The message is sent back to the artificial intelligence analysis unit 12 of the computing host 10, and the artificial intelligence analysis unit 12 will perform analysis and calculation again to calculate an optimal segmentation and packaging parameter, and then transmit the optimal segmentation and packaging parameter to the The external device 50 makes the external device 50 carry out the operation of dividing and sealing again.

In addition, this embodiment further includes an environment sensing device 40, which is a toxic gas sensor, PM2.5 dust sensor, temperature sensor, humidity sensor, magnetic field sensor sensor, electromagnetic wave sensor, ultraviolet sensor or vital sign sensor or one of the above-mentioned arbitrary selections, the environment sensing device 40 transmits the measured environmental information to the computing host 10, To enable external monitoring personnel to know the environmental parameters in the nuclear power plant at the time of cutting, so as to judge when they can enter the nuclear power plant.

The present invention relates to an artificial intelligence system and its analysis method applied to the decommissioning of nuclear power plants, which includes the computing host 10 of the artificial intelligence analysis unit 12, the image capture device 24, the 3D scanning device 22, the radiation The measurement device 30 enables the artificial intelligence analysis unit 12 to perform the nuclear power generation according to the image capture device 24, the 3D scanning device 22 and the radiation measurement device 30 through the artificial intelligence system applied to the decommissioning of nuclear power plants Identification, marking and measurement of decommissioned objects (the components in the polluted area) inside the factory.

Through the image capture device 24 and the 3D scanning device 22, the appearance size of the decommissioned object (the component in the contaminated area) of the nuclear power plant to be dismantled is modeled, and then the radiation measurement device 30 The nuclear power plant is measured, and after combining the results obtained by the image capture device 24 and the 3D scanning device 22, the analysis is performed through the artificial intelligence analysis unit 12, and multiple conditions are optimized for classification and cutting analysis. It also provides classification and cutting suggestions, which can shorten the decommissioning work schedule of nuclear power plants and reduce the time for workers to be exposed to radiation environments.

In the above-mentioned embodiment, the method of the present invention is an artificial intelligence system and its method applied to the decommissioning of nuclear power plants. The image of the nuclear power plant site in service, and the image of the nuclear power plant site is transmitted to the computing host, and the artificial intelligence analysis unit in the computing host calculates the optimal ability to cut the area containing radiation pollution and packaging conditions.

Therefore, the present invention is novel, progressive and can be used in industry. It should meet the patent application requirements of my country's patent law. I file an invention patent application in accordance with the law. I pray that the bureau will grant the patent as soon as possible. I sincerely pray.

However, the above-mentioned ones are only preferred embodiments of the present invention, and are not used to limit the scope of the present invention. For example, all equal changes and modifications are made according to the shape, structure, characteristics and spirit described in the scope of the patent application of the present invention. , should be included in the patent application scope of the present invention.

10: Computing host

12: Artificial intelligence analysis unit

20: Scanning module

22:3D scanning device

24: Image capture device

30:Radiation measuring device

40: Environmental sensing device

50: External device

60: Packaging container

S10, S20, S30, S40, S50, S60, S65, S70, S80, S90, S95, S100, S110, S120, S130, S140: steps

Fig. 1A: It is a schematic flow chart of the steps of an embodiment of the present invention; Fig. 1B: It is a schematic flow chart of the encapsulation procedure of one embodiment of the present invention; Figure 1C: It is a schematic flow chart of the steps of an embodiment of the present invention; and Figure 2: It is a system diagram of an embodiment of the present invention.

S10, S20, S30, S40, S50, S60, S65: steps

Claims (7)

An artificial intelligence analysis method applied to the decommissioning of nuclear power plants, the steps include: after scanning a nuclear power plant to generate an area image through a scanning module, the area image is transmitted to a computing host, and the scanning module includes a 3D scanning device and an image capture device; use a radiation measurement device to measure a plurality of radiation parameters generated in multiple areas of the nuclear power plant, and transmit these radiation parameters to the computing host; the computing host will After superimposing the image of the area and the radiation parameters, a radiation value range is generated; the computing host uses an artificial intelligence analysis unit to analyze the radiation value range to obtain a radiation intensity distribution; the artificial intelligence analysis unit analyzes the radiation intensity according to the radiation value An intensity value of the intensity distribution is calculated to obtain at least one polluted area; an object parameter of the at least one polluted area is analyzed through the artificial intelligence analysis unit, and a packaging parameter is calculated according to the object parameter, and the object parameter includes an object specific activity and a volume of an object; and the artificial intelligence analysis unit calculates a packaging result according to a volume of a packaging container of the packaging parameter or a specific activity of a filling, wherein the packaging result is a value of a packaging container. The artificial intelligence analysis method applied to the decommissioning of nuclear power plants as described in Claim 1, wherein the 3D scanning device is a 3D laser scanning device or a 3D structured light scanning device. The artificial intelligence analysis method applied to the decommissioning of nuclear power plants as described in claim 1, wherein after scanning a nuclear power plant with a scanning module to generate an image of an area, the image of the area is transmitted to a computing host, The computing host is a personal computer or a server. The artificial intelligence analysis method applied to the decommissioning of nuclear power plants as described in claim 1, wherein a radiation measuring device is used to separately measure a plurality of radiation parameters generated in a plurality of regions of the nuclear power plant, these The radiation parameters respectively include a radiation amount and a radiation coordinate value. An artificial intelligence system applied to the decommissioning of nuclear power plants, which is set in a nuclear power plant, which includes: a computing host, which includes an artificial intelligence analysis unit; a scanning module, which includes a 3D scan device and an image capture device, the 3D scanning module and the image capture device are electrically connected to the computing host, the scanning module is used to scan the nuclear power plant and generate an area image; a radiation measurement device , which is electrically connected to the computing host, the radiation measurement device is used to measure a plurality of radiation parameters produced in a plurality of areas of the nuclear power plant; and an external device, which is electrically connected to the computing host; Wherein, the computing host generates a radiation value range after superimposing the area image and the radiation parameters, and the computing host uses an artificial intelligence analysis unit to analyze the radiation value range, which is used to obtain a radiation intensity distribution, at least one polluted area is obtained according to the radiation intensity distribution, an object parameter of the at least one polluted area is judged by the artificial intelligence analysis unit, and a packaging parameter is calculated according to the object parameter, and the object parameter includes an object specific activity and a volume of an object, the artificial intelligence analysis unit calculates a packaging result according to the packaging parameter, a volume of a packaging container or a specific activity of a filling, wherein the packaging result is a value of a packaging container. The artificial intelligence system applied to the decommissioning of nuclear power plants as described in claim 5, wherein the computing host is a personal computer or a server. The artificial intelligence system applied to the decommissioning of nuclear power plants as described in claim 5, wherein the radiation parameters respectively include a radiation amount and a radiation coordinate value.

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