CN113869683A

CN113869683A - Nuclear power plant cold source safety early warning method and device, computer equipment and system

Info

Publication number: CN113869683A
Application number: CN202111093567.4A
Authority: CN
Inventors: 王旭峰; 李恒; 李啸风; 黄新年; 王慧
Original assignee: China General Nuclear Power Corp; China Nuclear Power Engineering Co Ltd; CGN Power Co Ltd; Shenzhen China Guangdong Nuclear Engineering Design Co Ltd
Current assignee: China General Nuclear Power Corp; China Nuclear Power Engineering Co Ltd; CGN Power Co Ltd; Shenzhen China Guangdong Nuclear Engineering Design Co Ltd
Priority date: 2021-09-17
Filing date: 2021-09-17
Publication date: 2021-12-31

Abstract

The application relates to a cold source safety early warning method, a cold source safety early warning device, computer equipment and a cold source safety early warning system for a nuclear power plant. A cold source safety early warning method for a nuclear power plant comprises the following steps: acquiring current ocean monitoring data of a sea area where a cold source of a target nuclear power plant is located, and determining current disaster-causing object information according to the current ocean monitoring data; acquiring a current early warning factor, and determining first predicted disaster-causing object information corresponding to the current early warning factor by using a preset biological evolution model; acquiring current ocean current information, and determining second predicted disaster-causing object information corresponding to the current ocean current information by using a preset track prediction model; and determining a safety early warning result of the cold source of the target nuclear power plant according to the current disaster-causing object information, the first predicted disaster-causing object information and the second predicted disaster-causing object information. By adopting the method, the safety prediction of the target nuclear power plant cold source can be realized, the safety early warning result of the target nuclear power plant cold source can be determined by utilizing various parameters, and the accuracy of the safety early warning can be improved.

Description

Nuclear power plant cold source safety early warning method and device, computer equipment and system

Technical Field

The application relates to the technical field of cold sources of nuclear power plants, in particular to a safety early warning method, a safety early warning device, computer equipment and a safety early warning system for the cold sources of the nuclear power plants.

Background

Nuclear power plants require a large amount of cooling water during operation, and therefore, nuclear power plant bases are generally constructed in coastal areas, and seawater is used as cooling water for units. The change of the ecological environment of the offshore water area is an important factor influencing the operation of the nuclear power unit. The marine organism cluster outbreak is caused by seawater eutrophication and rapid change of marine environment, so that the event that the filter screen of a water intake of a cold source of a nuclear power plant is blocked to influence the water intake of the cold source of the nuclear power plant happens occasionally, the nuclear power plant is caused to stop or operate with reduced power seriously, huge economic loss is brought, and the cold source water intake safety of the nuclear power plant faces great challenge and the nuclear safety is threatened.

At present, in the safety guarantee to the cold source of nuclear power plant, generally be at many sonars of intercepting net department installation under water, install many cameras at the road bed, set up monitoring facilities such as small-size meteorological station at the road bed and acquire the current ocean monitoring data in the sea area that the cold source of nuclear power plant belongs to in real time to carry out safety precaution to the cold source of nuclear power plant according to the current ocean monitoring data who gathers. However, in the conventional technical scheme, only the current ocean monitoring data acquired in real time is used for carrying out safety early warning, so that only the safety condition of the current water area can be actually determined, and the early warning effect of early warning cannot be realized; in addition, safety early warning is only carried out according to current ocean monitoring data collected in real time, and the information accuracy is low.

Therefore, how to implement safety early warning on a cold source of a nuclear power plant and improve the information accuracy of the safety early warning is a technical problem which needs to be solved by technical personnel in the field at present.

Disclosure of Invention

Therefore, it is necessary to provide a nuclear power plant cold source safety early warning method, a nuclear power plant cold source safety early warning device, a computer device, and a storage medium, which can implement safety early warning on a nuclear power plant cold source and improve the information accuracy of the safety early warning.

A safety early warning method for a cold source of a nuclear power plant comprises the following steps:

acquiring current ocean monitoring data of a sea area where a cold source of a target nuclear power plant is located, and determining current disaster-causing object information according to the current ocean monitoring data;

acquiring a current early warning factor, and determining first predicted disaster-causing object information corresponding to the current early warning factor by using a preset biological evolution model;

acquiring current ocean current information, and determining second predicted disaster-causing object information corresponding to the current ocean current information by using a preset track prediction model;

and determining a safety early warning result of the cold source of the target nuclear power plant according to the current disaster-causing object information, the first predicted disaster-causing object information and the second predicted disaster-causing object information.

In one embodiment, the process of setting up the biological evolution model comprises:

setting a corresponding data label for a sample early warning factor by using sample biological data to obtain a first training sample, wherein the sample biological data is corresponding biological data when the target nuclear power plant cold source is in a disaster;

and inputting the first training sample into a first neural network for learning training to obtain the biological evolution model.

In one embodiment, the process of determining the early warning factor includes:

constructing a marine organism species database from the cold source of the target nuclear power plant;

determining the type of a disaster causing object threatening the safety of cold source water intake of the target nuclear power plant according to the historical event record of cold source water intake disasters and technical experiences of the cold source water intake of the target nuclear power plant;

analyzing the biological characteristics, the environment correlation characteristics, the background species coupling characteristics and the population evolution law of each disaster causing object according to the tracking monitoring data of the disaster causing object corresponding to each disaster causing object type, extracting key influence factors influencing typical disaster causing object propagation and growth, and performing trend analysis on the dynamic change data and the dynamic evolution law of the disaster causing object to obtain the early warning factor causing the cold source disaster of the target nuclear power plant.

In one embodiment, the method further comprises:

and setting corresponding weight ratios for the early warning factors according to the corresponding relations between the early warning factors and whether the early warning factors cause disasters, the occurrence forms of the disasters, the evolution rules and the disaster causing degrees.

In one embodiment, the process of setting the trajectory prediction model includes:

setting a corresponding data label for the sample ocean current information by using the sample track to obtain a second training sample;

and inputting the second training sample into a second neural network for learning training to obtain the track prediction model.

In one embodiment, the process of determining the safety warning result of the cold source of the target nuclear power plant according to the current disaster-causing object information, the first predicted disaster-causing object information, and the second predicted disaster-causing object information includes:

judging whether the target nuclear power plant cold source has potential safety hazards or not according to the current disaster-causing object information, the first predicted disaster-causing object information and the second predicted disaster-causing object information;

if yes, the magnitude, the type and the size of the predicted disaster causing object are determined.

In one embodiment, after the determining the magnitude, kind and size of the disaster causing object predicted in the sea water or sea surface, the method further comprises:

determining a corresponding safety early warning level according to the predicted magnitude, type and size of the disaster causing object;

and starting a rear-end device to execute early warning operation corresponding to the safety early warning level, wherein the early warning operation comprises the steps of replacing the type of the intercepting net and/or adjusting the suction intensity of a suction pump and/or adjusting the water consumption of the cold source of the target nuclear power plant according to the predicted magnitude, type and size of the disaster causing object.

In one embodiment, the rear-end equipment includes a suction pump, and the suction pump is disposed on the corresponding lifting device, and the early warning operation further includes:

controlling the suction pump according to a preset control law; wherein the control law comprises individual control, group control, timing control and liquid level control.

In one embodiment, the method further comprises:

and visually displaying the current ocean monitoring data and/or the current disaster information and/or the safety early warning result and/or the operation state of the rear-end treatment equipment by using monitoring equipment.

In one embodiment, the pre-warning operation further comprises:

the rotating speed of the drum-shaped rotary filter screen is improved.

In one embodiment, the method further comprises:

updating the biological evolution model by using the current early warning factor and the first predicted disaster causing object information;

and/or updating the trajectory prediction model by using the current ocean current information and the second predicted disaster causing object information. In one embodiment, the acquiring current marine monitoring data of a sea area where a cold source of a target nuclear power plant is located, and determining current disaster-causing information according to the current marine monitoring data includes:

respectively acquiring the current ocean monitoring data of the sea area where the cold source of the target nuclear power plant is located through open sea monitoring, land-based monitoring, underwater monitoring, third-party monitoring, tide level monitoring and net-blowing weighing monitoring; the open sea monitoring comprises open sea investigation and prediction, satellite monitoring and marine life monitoring shipborne integrated equipment movement monitoring; the roadbed monitoring comprises detecting the water surface of a harbor basin, the water surface of a water taking channel and the water surface of the sea area around the water taking opening through videos; the underwater monitoring comprises underwater marine organism monitoring and interception net monitoring; the third party monitoring comprises typhoon and/or tsunami monitoring, meteorological monitoring, marine chemical monitoring and ocean current monitoring;

and determining the current disaster-causing object information according to the current ocean monitoring data.

A cold source safety precaution device of a nuclear power plant, the device includes:

the system comprises an information acquisition module, a data processing module and a data processing module, wherein the information acquisition module is used for acquiring current ocean monitoring data of a sea area where a cold source of a target nuclear power plant is located and determining current disaster-causing object information according to the current ocean monitoring data;

the first prediction module is used for acquiring a current early warning factor and determining first prediction disaster-causing object information corresponding to the current early warning factor by using a preset biological evolution model;

the second prediction module is used for acquiring current ocean current information and determining second predicted disaster-causing object information corresponding to the current ocean current information by using a preset track prediction model;

and the early warning determining module is used for determining a safety early warning result of the cold source of the target nuclear power plant according to the current disaster-causing object information, the first predicted disaster-causing object information and the second predicted disaster-causing object information.

A computer device comprising a memory and a processor, wherein the memory stores a computer program, and wherein the processor implements the steps of any one of the above methods for providing cold source safety precaution in a nuclear power plant when executing the computer program.

The nuclear power plant cold source safety early warning system is characterized by comprising the computer equipment and acquisition equipment which is connected with the computer equipment and is used for acquiring marine monitoring data; the monitoring equipment is connected with the computer equipment and is used for visually displaying data information; and the rear-end disposal equipment is connected with the computer equipment and is used for executing corresponding early warning operation according to the safety early warning result determined by the computer equipment.

On the basis of acquiring current ocean monitoring data of a sea area where a target nuclear power plant cold source is located and determining current disaster-causing object information according to the current ocean monitoring data, on one hand, by acquiring a current early warning factor, determining first predicted disaster-causing object information corresponding to the current early warning factor by using a preset biological evolution model, and by acquiring current ocean current information, determining second predicted disaster-causing object information corresponding to the current ocean current information by using a preset track prediction model, and by acquiring the predicted disaster-causing object information, safety prediction of the target nuclear power plant cold source is realized; on the other hand, the method combines the current disaster-causing information, the first forecast disaster-causing information and the second forecast disaster-causing information to analyze, and determines the safety early warning result of the cold source of the target nuclear power plant by utilizing various parameters, so that the accuracy of safety early warning can be improved.

Drawings

Fig. 1 is a flowchart of a nuclear power plant cold source safety early warning method according to an embodiment of the present invention;

fig. 2 is a schematic diagram of an acquisition equipment configuration system determined based on a process flow, an acquisition equipment arrangement position, and a quantization dimension according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of the primary monitoring elements of the acquisition device in one embodiment;

fig. 4 is a schematic diagram of a network architecture according to the present embodiment;

FIG. 5 is a schematic diagram of the functional topology of the on-board integrated equipment in one embodiment;

FIG. 6 is a structural diagram of a nuclear power plant cold source safety pre-warning device;

fig. 7 is a schematic diagram of a system architecture of a nuclear power plant cold source safety warning system according to an embodiment of the present invention;

fig. 8 is a system functional topology diagram of a nuclear power plant cold source safety early warning system according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

Fig. 1 is a flowchart of a nuclear power plant cold source safety early warning method according to an embodiment of the present invention, and as shown in fig. 1, the nuclear power plant cold source safety early warning method includes:

step 102, obtaining current ocean monitoring data of a sea area where a target nuclear power plant cold source is located, and determining current disaster-causing object information according to the current ocean monitoring data.

In this embodiment, the current ocean monitoring data of the sea area where the cold source of the target nuclear power plant is located is collected by using the collection device. The ocean monitoring data comprise information such as hydrology, water quality and marine life of a sea area where a cold source of the target nuclear power plant is located, and corresponding current disaster-causing object information is analyzed according to the current ocean monitoring data by acquiring the current ocean monitoring data.

It should be noted that the disaster causing matter includes four types of phytoplankton, zooplankton and extreme threat; wherein, phytoplankton includes various algae; zooplankton including jellyfish, etc.; swimming animals including fish, shrimp, etc.; the threats in extreme cases include bamboo poles, kelp, floating ice and the like in special cases; wherein, phytoplankton, zooplankton or threat object appearing in extreme case have no or weak swimming ability, and the distribution of the zooplankton, zooplankton or threat object appears mainly along with the change of the flow direction of the seawater; the swimming animal has strong self-movement ability, and can observe obvious movement tracks of steering, acceleration and the like.

In actual operation, in order to obtain more comprehensive current ocean monitoring data and more accurately determine current disaster-causing object information, multiple types of acquisition equipment can be set according to actual requirements; the present embodiment does not limit the type and number of the acquisition devices used for acquiring the current ocean monitoring data.

And 104, acquiring a current early warning factor, and determining first predicted disaster-causing object information corresponding to the current early warning factor by using a preset biological evolution model.

Specifically, the biological evolution model is used for analyzing the characteristics of different marine organisms, including the outbreak seasons of the different marine organisms, the propagation speed of the marine organisms, the marine environment in which the marine organisms easily live, the influence of the marine organisms on a nuclear power cold source and the like. The early warning factors comprise environmental state information such as season, temperature, humidity and PH value, the first forecast disaster causing object information comprises the possibility and the outbreak degree of a certain disaster causing object, namely, the certain disaster causing object is likely to outbreak and grow under the environmental state corresponding to the certain early warning factors, and therefore the water taking safety of the cold source of the target nuclear power plant is threatened. In this embodiment, after a biological evolution model is trained in advance, a current early warning factor is obtained, the current early warning factor is input into the biological evolution model, and first predicted disaster-causing object information corresponding to the current early warning factor is output by using the biological evolution model. Specifically, the current warning factor refers to data information currently acquired according to the warning factor.

And step 106, obtaining current ocean current information, and determining second predicted disaster-causing object information corresponding to the current ocean current information by using a preset track prediction model.

Specifically, ocean current information comprises ocean current, wind direction and wind power, water area salt temperature, tidal range change and the like, and a diffusion and transportation model of marine organisms and threats is established based on a transportation mechanism of phytoplankton, zooplankton, garbage, fish swarm and the like, zooplankton and threats changing along with the ocean current, wind direction and wind power, water area salt temperature and tidal range, so that a track prediction model is determined. The input of the track prediction model is current ocean current information, the output is predicted second predicted disaster-causing object information, the second predicted disaster-causing object information comprises corresponding movement tracks of marine plankton, red tide, garbage, fish school creatures and the like in the current ocean current information state, and whether the marine plankton, the red tide, the garbage, the fish school creatures and the like can threaten the water taking safety of the target nuclear power plant water source is determined according to the predicted movement tracks.

And step 108, determining a safety early warning result of the cold source of the target nuclear power plant according to the current disaster-causing object information, the first predicted disaster-causing object information and the second predicted disaster-causing object information.

Specifically, after the current disaster-causing information, the first predicted disaster-causing information and the second predicted disaster-causing information are obtained according to the steps, comprehensive analysis is performed according to the current disaster-causing information, the first predicted disaster-causing information and the second predicted disaster-causing information, and a safety early warning result of the cold source of the target nuclear power plant is determined, namely whether potential safety hazards exist in water taking from the cold source of the target nuclear power plant is judged.

It should be noted that, in actual operation, the early warning value of some index of the disaster causing object can be correspondingly adjusted according to the difference of the regional environments; or the early warning algorithm for determining whether the potential safety hazard exists in the water intake of the cold source of the target nuclear power plant is adjusted according to the change of the water quality environmental factors. On the basis of acquiring current ocean monitoring data of a sea area where a target nuclear power plant cold source is located and determining current disaster-causing object information according to the current ocean monitoring data, on one hand, by acquiring a current early warning factor, determining first predicted disaster-causing object information corresponding to the current early warning factor by using a preset biological evolution model, and by acquiring current ocean current information, determining second predicted disaster-causing object information corresponding to the current ocean current information by using a preset track prediction model, and by acquiring the predicted disaster-causing object information, safety prediction is carried out on the target nuclear power plant cold source; on the other hand, the method combines the current disaster-causing information, the first forecast disaster-causing information and the second forecast disaster-causing information to analyze, and determines the safety early warning result of the cold source of the target nuclear power plant by utilizing various parameters, so that the accuracy of safety early warning can be improved.

setting a corresponding data label for a sample early warning factor by using sample biological data to obtain a first training sample, wherein the sample biological data is corresponding biological data when a target nuclear power plant cold source is in disaster;

and inputting the first training sample into a first neural network for learning training to obtain a biological evolution model.

Specifically, in this embodiment, a target nuclear power plant cold source water intake marine organism species database is first constructed, and according to a cold source water intake disaster historical event record and technical experience which have occurred at a target nuclear power plant cold source water intake, a disaster causing object type which threatens the target nuclear power plant cold source water intake safety is determined; according to the tracking and monitoring data of the disaster causing substances corresponding to specific biological species, namely the types of the disaster causing substances, the biological characteristics, the environment correlation characteristics, the background species coupling characteristics and the population evolution law of the disaster causing substances are analyzed, key influence factors influencing the propagation and growth of typical disaster causing substances such as algae, jellyfish, acetes, water quality and the like of aquatic animals and plants such as fish are extracted, trend analysis is carried out on the dynamic change data and the dynamic evolution law of the disaster causing substances, the early warning multi-source factors possibly causing cold source disasters are obtained, meanwhile, the corresponding relations between the early warning factors and the occurrence forms, the evolution laws and the disaster causing degrees of the disasters and the disaster causing substances are integrated, the early warning factors of explosive growth of the disaster causing substances are obtained, the weight ratios of the early warning factors can be further determined, and references and bases are provided for the correlation analysis.

After the sample early warning factor is obtained, setting a corresponding data label for the sample early warning factor by using sample biological data corresponding to the sample early warning factor to obtain a first training sample; the sample biological data is corresponding biological data when a target nuclear power plant cold source is in a disaster, the biological data comprises animal and plant types, growth speed, reproduction conditions and the like, and the sample early warning factor refers to data information corresponding to an early warning factor associated with the sample biological data when the target nuclear power plant cold source is in the disaster. Inputting the first training sample into a first neural network for learning training to obtain a biological evolution model; the input of the trained biological evolution model is the current early warning factor, and the output is the predicted biological data, namely the first predicted disaster-causing information.

It should be noted that, a dynamic early warning and threshold optimization method can be provided by further analyzing the threshold time-space evolution characteristics of each early warning factor and the coupling mechanism between different early warning factors through a simulation test.

It should be noted that, in actual operation, a first training sample may be set by continuously using the determined current early warning factor and biological data, that is, the first predicted disaster causing object information, and the biological evolution model is continuously trained and updated, so as to continuously improve the prediction accuracy of the biological evolution model.

Therefore, in the embodiment, the biological evolution model is trained, the association rule of the early warning factor and the information of the predicted disaster causing object is determined, and the corresponding information of the predicted disaster causing object can be conveniently and efficiently output according to the current early warning factor.

In one embodiment, the process of setting up the trajectory prediction model includes:

and inputting the second training sample into a second neural network for learning training to obtain a track prediction model.

It should be noted that, for some disaster-causing objects with weak or no autonomous movement ability, such as zooplankton, phytoplankton, and threat objects such as garbage, oil spill, floating ice, etc., the movement trajectory is determined by ocean current information; specifically, the ocean current information includes ocean current, wind direction and wind power, water area salt temperature and tidal range change, and the sample trajectory is the movement trajectory of the disaster causing object in the state of the corresponding sample ocean current information.

In this embodiment, firstly, a sample trajectory is used to set a corresponding data label for sample ocean current information, so as to obtain a second training sample; and then inputting the second training sample into a second neural network for learning training to obtain a track prediction model. In other words, the input of the trajectory prediction model is ocean current information, and the output is the trajectory of the disaster causing object corresponding to the ocean current information; therefore, the corresponding movement track of the disaster causing object can be determined according to the current ocean current information, and whether the disaster causing object endangers the safety of water taking of the cold source of the target nuclear power plant or not is judged according to the movement track, so that the second prediction disaster causing object information is determined.

It should be noted that, in actual operation, a second training sample may be set by continuously using the determined current ocean current information and trajectory, that is, the second predicted disaster causing object information, and the trajectory prediction model may be continuously trained and updated to continuously improve the prediction accuracy of the trajectory prediction model.

According to the embodiment, the track prediction model is trained, the association rule of the ocean current information and the motion track is determined, and the corresponding second prediction disaster-causing object information can be conveniently and efficiently output according to the current ocean current information.

In one embodiment, the process of determining a safety early warning result of a cold source of a target nuclear power plant according to current disaster information, first predicted disaster information and second predicted disaster information includes:

judging whether potential safety hazards exist in a cold source of the target nuclear power plant or not according to the current disaster-causing object information, the first predicted disaster-causing object information and the second predicted disaster-causing object information;

Specifically, in this embodiment, it is first determined whether the disaster causes a potential safety hazard to the target nuclear power plant cold source water intake according to the current disaster causing information, the first predicted disaster causing information, and the second predicted disaster causing information, and then the magnitude, the kind, and the size of the corresponding disaster causing object are further predicted. Wherein, the amount level of the disaster causing matter refers to the approximate amount of the disaster causing matter in the seawater or the sea surface close to the cold source of the target nuclear power plant, and the category is the type of the disaster causing matter, including phytoplankton, zooplankton and extreme threat; more detailed, including micro marine organisms such as cap screws; small marine organisms such as euphausia superba, penaeus chinensis, penaeus japonicus, jellyfish, and small fish (conradson fish, etc.); middle and large jellyfishes such as jellyfish, Cyanea nozakii, jellyfish geminate, Atlantic jellyfish, and jellyfish penis et testis canitis; red tide such as Zostera marina and Noctinia noctiluca; oil spill and floating matter such as garbage and aquatic weeds. It is understood that the size of the different types of disaster causing objects is different, and the size of the same type of plankton, zooplankton or zooplankton is different at different times, for example, the size of algae in summer is generally larger than that of algae in spring.

In this embodiment, the magnitude, the type and the size of the disaster causing object of the cold source of the target nuclear power plant can be further determined according to the current disaster causing object information, the first predicted disaster causing object information and the second predicted disaster causing object information, so that the safety early warning information is more accurate.

In one embodiment, after determining the magnitude, kind and size of the predicted disaster causing matter in the sea water or surface, the method further comprises:

determining a corresponding safety early warning level according to the magnitude, the type and the size of the predicted disaster causing object;

and starting the rear-end equipment to execute early warning operation corresponding to the safety early warning level, wherein the early warning operation comprises the steps of replacing the type of the intercepting net and/or adjusting the suction intensity of a suction pump and/or adjusting the water consumption of a cold source of the target nuclear power plant according to the predicted magnitude, type and size of the disaster causing object.

Specifically, in this embodiment, for different disaster mechanisms of typical disaster causing objects in a cold source water area of a nuclear power plant, according to the predicted magnitude, type, and size of the disaster causing objects, typical cases, prevention and control measures, and the like, a characteristic analysis is performed on the disaster causing risk in the cold source water area of the nuclear power plant, so as to further determine a safety early warning level corresponding to a target cold source water intake area of the nuclear power plant; and then, reasonably proposing the response speed, the response range and the response strength of joint defense measures according to the safety early warning level, determining corresponding early warning operation, and establishing a safety grading emergency response mechanism of the target nuclear power plant.

It can be understood that, because the embodiment can predict the safety early warning result, that is, determine the potential safety hazard that may exist in advance, it can provide sufficient early warning time for the operation and maintenance personnel of the power plant, when the disaster is predicted to be an outbreak, effective joint defense measures can be taken, and the rear-end equipment is started to execute the early warning operation corresponding to the safety early warning level; in actual operation, the control of the back-end treatment device can be realized by a Programmable Logic Controller (PLC), so as to realize corresponding early warning operation.

Particularly, intercepting nets with different specifications of holes are arranged in advance in a harbor basin or a water taking channel of a target nuclear power plant and are used for intercepting disasters in seawater; however, for the type selection case of the intercepting net, the following problems exist: if the intercepting net with larger holes is arranged, small-sized disaster-causing objects such as the Acetes chinensis, the cap nut and the like cannot be effectively intercepted; if the holes of the intercepting net are as small as possible, the intercepting net is easy to block in a short time, and the operation and maintenance cleaning burden of the intercepting net is increased under the condition of lacking of mechanical and automatic net receiving and releasing means. In this embodiment, after the magnitude, the type, and the size of the disaster causing object are predicted, the corresponding type of intercepting net is further replaced in advance according to the magnitude, the type, and the size of the disaster causing object, so that the disaster causing object can be effectively intercepted, and the blocking of the intercepting net in a short time can be avoided.

In the embodiment, aiming at blocking of the intercepting net, a suction pump can be arranged at each tail pocket of the intercepting net and used for mechanically and automatically cleaning disaster-causing objects; when a large amount of disasters explode, the suction intensity of the suction pump can be increased so as to quickly clean the intercepting net. More specifically, the suction pump is arranged on the corresponding lifting device, and can be controlled according to the following control law:

1) and (3) independently controlling: respectively controlling a single suction pump and a corresponding lifting device;

2) grouping control: grouping a plurality of suction pumps, and controlling each suction pump and a corresponding lifting device by taking a group as a unit;

3) timing control: controlling a suction pump to automatically start suction operation at fixed time according to a set period;

4) liquid level control: the lifting device automatically lifts according to the liquid level monitoring data on the rear side (namely, the side close to the water intake) of the interception net, so that the suction pump is ensured to stay at the sea surface position.

In actual operation, the rotation speed of the garbage raking bucket and the drum-shaped rotary filter screen of the trash rack can be increased so as to increase the speed of cleaning disasters.

In addition, because different disaster causing object types, magnitudes and sizes have different influence conditions and influence degrees on the water intake of the cold source of the target nuclear power plant, in actual operation, the water consumption of the cold source of the target nuclear power plant can be adjusted by adjusting the running power of the water intake of the cold source of the target nuclear power plant; through linkage of a plurality of units, the load of the units is reduced to a reasonable interval, so that the consumption of cooling water is reduced, and the threat of disasters is controlled; instead of shutting down all nuclear power generating units once the potential safety hazard of the target nuclear power plant is predicted, the economic loss of the target nuclear power plant caused by the disaster-causing object can be reduced as much as possible.

It should be noted that, a corresponding safety early warning level is determined according to the magnitude, the type and the size of the predicted disaster causing object, and a corresponding early warning operation is determined according to the safety early warning level; for example, the situation that the disaster causing amount is large in level, many in types and small in size can be set as a higher safety early warning level, and corresponding early warning operation is taken for the situation; or, the situation that the disaster causing amount is small in level, single in type and large in size can be set as a lower safety early warning level, and corresponding early warning operation is taken for the situation.

Therefore, according to the method of the embodiment, the safety early warning level is further determined, the corresponding early warning operation is executed according to the safety early warning level by utilizing the rear-end equipment, the influence of the disaster causing matter on the operation power of the target nuclear power plant is reduced as much as possible under the condition that the water taking safety of the cold source of the target nuclear power plant can be guaranteed, and the economic benefit of the target nuclear power plant is maximized.

In one embodiment, the method further comprises:

and carrying out visual display on the current ocean monitoring data and/or current disaster information and/or safety early warning results and/or the running state of the rear-end treatment equipment by utilizing the monitoring equipment.

Specifically, in this embodiment, the monitoring device may be used to perform mirror image function display and integrated function display on current ocean monitoring data acquired by various acquisition devices at the front end; visually displaying the safety early warning result, specifically comprising visually displaying the predicted disaster causing object types, magnitude and size; in addition, the running state of the rear-end processing equipment can be visually displayed, namely the running state of the rear-end processing equipment is monitored in real time, so that the states of normal running, fault abnormity, start and stop, accident conditions and the like of the rear-end processing equipment can be timely known. In actual operation, a map and a chart around the target nuclear power plant can be further displayed; and carrying out statistical analysis on the collected current ocean monitoring data to obtain and display corresponding reports, histograms, dynamic curves and the like.

It should be noted that the visual display performed by the monitoring device may be to put information to be visually displayed on a preset wall-hung large screen, or to send information to be visually displayed to other terminal devices for visual display, where the terminal devices may be mobile terminals, personal computers, and other electronic devices provided with displays.

It should be noted that, in the embodiment, the monitoring device is further utilized to visually display the current marine monitoring data and/or the current disaster causing object information and/or the safety early warning result and/or the operation state of the rear-end disposal device, so that operation and maintenance management and production personnel can conveniently and intuitively obtain the sea area environment of the cold source water intake of the target nuclear power plant, the disaster causing object disaster dynamic state and information corresponding to the business system; displaying various current ocean monitoring data and/or current disaster information and/or safety early warning results and/or the running state of rear-end treatment equipment on a human-computer interaction interface; providing a safety early warning result aiming at the cold source safety of a target nuclear power plant, carrying out decision support aiming at the safety early warning level, and determining a corresponding early warning measure; monitoring the running state of the rear-end disposal equipment according to the early warning measure; therefore, a better use experience can be provided for the user.

In one embodiment, the process of acquiring current ocean monitoring data of a sea area where a cold source of a target nuclear power plant is located and determining current disaster-causing object information according to the current ocean monitoring data includes:

respectively acquiring current ocean monitoring data of a sea area where a cold source of a target nuclear power plant is located through open sea monitoring, land-based monitoring, underwater monitoring, third-party monitoring, tide level monitoring and net-blowing weighing monitoring; the open sea monitoring comprises open sea investigation and prediction, satellite monitoring and marine life monitoring shipborne integrated equipment movement monitoring; the roadbed monitoring comprises detecting the water surfaces of the harbor basin, the water surface of the water intake canal and the sea area around the water intake through videos; underwater monitoring comprises underwater marine organism monitoring and interception net monitoring; the third party monitoring comprises typhoon and/or tsunami monitoring, meteorological monitoring, marine chemical monitoring and ocean current monitoring;

and determining current disaster-causing object information according to the current ocean monitoring data.

Fig. 2 is a schematic diagram of an acquisition equipment configuration system determined based on a process flow, an arrangement position of acquisition equipment, and a quantization dimension according to an embodiment of the present invention; from the design point of view of a nuclear power plant, cooling water (seawater) needs to be treated by a special filtering system before entering a condenser for heat exchange; seawater from the water taking channel is filtered by the coarse filter grid, the trash rack and the drum-shaped rotary filter screen in sequence and then enters a suction inlet of the circulating water pump. Specifically, the coarse strainer is used for preventing disaster-causing objects with large volume (200mm) from entering a pump station; the trash rack is used for intercepting disaster-causing objects with medium (50mm) volume from entering a pump station, and the drum-shaped rotary filter screen is used for intercepting disaster-causing objects with small volume from entering the pump station. The trash rack trash scraper can carry out trash removal operation according to pressure loss, and when the pressure loss of the trash rack exceeds a set value, the trash scraper is put into operation until the pressure loss disappears. When seawater flows to the inner side from the outer side of the drum-shaped rotary filter screen, garbage and dirt in water are blocked on the outer surface of the filter screen, the filter screen rotates at a certain speed (the rotating speed can be adjusted according to the blocking condition), garbage is brought above the water surface by utilizing the inclined angle steel arranged on the outer surface of the filter screen, and high-pressure water from the washing water pump is sprayed out from the nozzles through the washing nozzles arranged on the inner side of the rotary filter screen, so that the garbage attached to the surface of the filter screen is blown off and is discharged through the water ditch.

Corresponding to a filtering system of a target nuclear power plant, respectively acquiring corresponding current ocean monitoring data from the open sea to an offshore sea area by using corresponding acquisition equipment; according to the monitoring characteristics, the main monitoring elements of each acquisition device are shown in fig. 3, and the acquisition of the current ocean monitoring data comprises open ocean monitoring, land-based monitoring, underwater monitoring, third-party monitoring data access and other monitoring.

Specifically, open sea monitoring can be realized by open sea investigation and prediction, investigation of hydrology, water quality, marine life and the like of the sea area around the target nuclear power plant is seasonally carried out, the explosion rule and the migration path of cold source disasters are determined, data are managed and processed, and development of the cold source disasters is predicted; acquiring data information of water surface floaters such as algae, oil spill and the like acquired by a satellite by purchasing satellite data of sea areas around a target nuclear power plant; meanwhile, a target nuclear power plant owned or leased ship is used in open sea, periodic sea area sampling monitoring information is acquired through monitoring equipment carrying relevant monitoring elements, and marine life monitoring, water quality monitoring and weather monitoring are carried out if the monitoring equipment is movably monitored through marine life monitoring shipborne integrated equipment.

Specifically, the land-based monitoring comprises video monitoring and radar monitoring, wherein the video monitoring comprises the steps of arranging video acquisition devices on the water surface of a harbor basin, the water surface of a water intake channel and the water surface of the sea area around the water intake so as to acquire corresponding video images to realize video monitoring, the video acquisition devices comprise a panoramic camera, a black-light dome camera and a double-spectrum camera, and the specific installation position of the video acquisition devices can be determined according to site conditions and monitoring range requirements; the radar monitoring comprises deploying a small target monitoring radar at the end of a water intake port door breakwater, monitoring marine dynamic environment parameters, water surface floaters such as algae or oil spills and other floaters on the water surface in real time, and monitoring marine dynamic parameters.

Specifically, underwater monitoring comprises underwater marine organism monitoring, interception net monitoring and water quality monitoring; specifically, the in-situ imaging instrument, the sonar, the underwater camera, the tension meter, the weighing instrument and the liquid level monitor are deployed at a water taking main inlet and an interception net, so that multi-point distributed underwater marine life, the interception net and water quality monitoring are realized.

Specifically, the third-party monitoring includes obtaining information such as typhoon/tsunami, weather, marine chemistry, ocean currents and the like from a third-party platform such as a weather bureau, a marine management department and the like; that is to say, the monitoring data provided by third parties such as the marine management department/meteorological bureau, such as typhoon, tsunami, weather, marine chemistry, ocean current, etc., can be used as effective supplement of the front-end monitoring and early warning scope, and provide data support for the realization of the subsequent cold source safety early warning of the target nuclear power plant.

Specifically, other monitoring is used as an auxiliary monitoring means, including tide level monitoring and net-blowing weighing monitoring, wherein the tide level monitoring refers to monitoring the tide level change of the sea area where the target nuclear power plant is located, and the tide level information is monitored in real time by arranging a radar type tide level meter in a harbor basin or a water intake canal; the drum-type rotary filter screen is arranged in the pump station sewage draining channel, and the automatic weighing device is arranged in the pump station sewage draining channel, so that marine organisms in the sewage draining channel are automatically salvaged and collected according to set time, and weighing of the marine organisms is realized.

More specifically, as shown in table 1 below, current marine monitoring data is acquired in a multi-scale manner in a cross-dimension manner in land, sea and air by using different acquisition devices or acquisition means.

Table 1 configuration table of acquisition devices

Note 1: open sea investigation and prediction will be seasonally carried out on the investigation of hydrology, water quality, marine life and the like in the surrounding sea area, research on the burst rule and migration path of cold source disaster causing substances, manage and process data and predict the development of the cold source disaster causing substances.

Note 2: the marine organism monitoring shipborne integrated equipment comprises a towed in-situ imager, a sonar, a current meter, a chemical sampling device, weather and the like, the equipment moves with the ship to monitor and acquire corresponding data information, and the monitoring range is expanded along with the movement of the ship; the frequency conversion or multi-band sonar is used for combined monitoring, the low frequency is used for remote rough detection, and after suspicious disaster-causing biological groups are found, the high frequency and in-situ imager is matched for fine detection.

Note 3: the in-situ imaging instrument can clearly image small-sized marine organisms such as zooplankton, phytoplankton, fry, roe, bait and the like, and can automatically identify the types of the marine organisms, count and count the marine organisms and the like.

Note 4: the radar can realize functions including wave measurement (wave height, wave direction and wave period), ocean current measurement (flow speed and flow direction), target detection and tracking, sea surface floater monitoring (size, concentration, moving speed and direction), oil spill monitoring (position, area, distribution, moving speed and moving direction), and sea surface disasters, moving direction and moving speed can be predicted through the radar.

Note 5: the water quality monitor is used for monitoring the physical and chemical parameters of the seawater, such as temperature, salinity, PH, dissolved oxygen and the like, and predicting the possibility of marine organism outbreak in advance according to the existence of eutrophication.

Note 6: the interception net camera is used for monitoring an interception net tail pocket, and if the tail pocket is blocked, the suction pump can be started to suck and clean.

And 7, note: the tension meter monitors the tension of the intercepting net in real time, and if the tension exceeds a preset value, the intercepting net is blocked and needs to be cleaned.

Note 8: the weighing instrument is used for weighing the amount of the garbage pumped by the suction pump so as to reflect the magnitude of the disaster causing object.

Note 9: the liquid level monitors are arranged in front of and behind the intercepting net, the liquid level difference in front of and behind the intercepting net is monitored in real time, and the blocking rate of the intercepting net is reflected from the side surface; and meanwhile, a liquid level monitor on the rear side of the intercepting net automatically adjusts the vertical position of the suction pump according to the measured liquid level.

Note 10: the automatic weighing device is used for weighing the disaster-causing objects intercepted by the drum-shaped rotary filter screen;

note 11: the sonar, the in-situ imager and the underwater camera in front of the interception net are installed in the special lifting mechanism, and the corresponding sonar, the in-situ imager and the underwater camera can realize the monitoring of the full section from the water surface to the water bottom, so that the monitoring blind area is reduced.

In the embodiment, a plurality of acquisition devices are adopted to acquire current ocean monitoring data, and the land, sea, air, cross-dimension and multi-scale monitoring and early warning are realized on disaster-causing objects; and the monitoring and early warning quantification is realized from multiple dimensions of monitoring distance, disaster-causing matter magnitude, early warning time, monitoring frequency, monitoring fineness and power plant operation and maintenance intervention strength.

It should be noted that, in this embodiment, a plurality of different manners are adopted to collect current marine monitoring data, the data collection manners are diversified, the data types are various, the structures are various, the monitoring contents are numerous and diverse, the field is wide, and the complexity of the marine environment itself is added, so this embodiment further provides a dynamic integration mechanism, integrates, stores and manages the multi-source heterogeneous data existing at present and in continuous construction in a unified quasi-real-time manner, performs centralized monitoring, storing, processing and alarm triggering on the data information obtained by the multi-source monitoring, and is used as the input of a prediction model such as a biological evolution model and a trajectory prediction model, so as to provide a decision time window and a basis for realizing the disaster prevention and reduction of the intake, and simultaneously improve the operation efficiency and the system economy of a rear-end system, and when there is an emergency service demand, operation and maintenance personnel can conveniently obtain comprehensive information in time, and various service requirements are quickly and accurately responded.

Therefore, in the embodiment, a plurality of kinds of acquisition equipment are adopted to acquire the current ocean monitoring data, and the land, sea, air, cross-dimension and multi-scale monitoring and early warning are realized on the disaster causing object; the monitoring and early warning quantification is realized from multiple dimensions of monitoring distance, disaster-causing matter level, early warning time, monitoring frequency, monitoring fineness and power plant operation and maintenance intervention force, and the accuracy of the target nuclear power plant cold source safety early warning can be improved.

In addition, data information acquired by open sea monitoring, land-based monitoring, underwater monitoring, third-party monitoring and other monitoring means needs to be accessed in a unified mode, and processing, analysis and secondary utilization of multi-source monitoring data are achieved, so that accurate and efficient transmission of the acquired data information is facilitated, and a network architecture for acquiring current ocean monitoring data is constructed. Fig. 4 is a schematic diagram of a network architecture according to the present embodiment; as shown in the figure, a computer device (cold source monitoring and early warning integrated information service system) for implementing a cold source safety early warning method of a nuclear power plant belongs to a production management III area, and an information transmission link in a network architecture includes:

1) information such as satellite remote sensing and marine meteorological stations related to an external network is accessed into computer equipment through a security access area, such as a link A, B;

2) a physical link is established between the cold source core switch and the core switch in the III area of the nuclear power plant, and the calling and utilization of cold source related information at the main control terminal, such as a link C, is realized by arranging a display and control terminal at the main control of each unit;

3) the cold source core switch and the nuclear power plant real-time information monitoring system realize information interaction through the III-area core switch, such as a link D;

4) a work order system extension terminal is arranged in a cold source monitoring room to realize work order service, such as a link E;

5) arranging a cold source extension terminal in an office area as required to realize the interaction of the cold source information by a PC (personal computer) end in a B/S (browser/server) mode, such as a link F;

6) the wireless terminal APP application carries out one-way information interaction through the secure access area and the cold source monitoring platform, such as a link G, H;

7) the PLC control system for controlling the suction pump sends various generated monitoring signals to a monitoring platform for centralized display through communication, such as equipment state feedback, alarm, log and the like, such as a link J;

8) the marine organism shipborne integrated equipment can be wirelessly accessed to computer equipment through 4G/5G signals, such as a link L; wherein, the functional topology of the shipborne integrated equipment is shown in figure 5; the ship-category client A is used for controlling an in-situ imager, sonar, a current meter and the like, displaying information in a centralized mode and storing the information, and the storage space meets the short-term (such as 3 days) storage requirement; the wireless transceiver is used for realizing real-time information interaction between the clients A and B; the client B can control the shipborne equipment, intensively display information, calculate, process, analyze and store acquired information for a long time, perform information interaction with a monitoring platform and the like;

9) according to the application characteristics of the acquisition equipment, the acquisition equipment is divided into two types, namely a server with a back end and a server without a back end; if the front-end acquisition equipment is not provided with a back-end server, the storage, operation, display and the like of data are uniformly responsible for the computer equipment for realizing the safety early warning method of the cold source of the nuclear power plant; if the front-end monitoring and early warning equipment has a self rear-end server, such as a sonar, an in-situ imager and the like, the front-end monitoring and early warning equipment is responsible for storing and operating original data by the self server, simultaneously transmits the data to computer equipment and realizes secondary development and utilization, and the computer equipment realizes functions of unified visual display, alarm, log, information push and the like, such as a link K.

Therefore, the network architecture is set according to the method of the embodiment, so that the information can be comprehensively and accurately transmitted, and secondary utilization of the data information is facilitated.

It should be understood that, although the steps in the flowcharts related to the above embodiments are shown in sequence as indicated by the arrows, the steps are not necessarily executed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in each flowchart related to the above embodiments may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.

In one embodiment, as shown in fig. 6, there is provided a safety precaution device for a cold source of a nuclear power plant, including: an information acquisition module 601, a first prediction module 602, a second prediction module 603, and an early warning determination module 604, wherein:

the information acquisition module 601 is used for acquiring current ocean monitoring data of a sea area where a cold source of a target nuclear power plant is located, and determining current disaster-causing object information according to the current ocean monitoring data;

the first prediction module 602 is configured to obtain a current early warning factor, and determine, by using a preset biological evolution model, first predicted disaster-causing information corresponding to the current early warning factor;

the second prediction module 603 is configured to obtain current ocean current information, and determine, by using a preset trajectory prediction model, second predicted disaster-causing object information corresponding to the current ocean current information;

the early warning determination module 604 is configured to determine a safety early warning result of the cold source of the target nuclear power plant according to the current disaster-causing information, the first predicted disaster-causing information, and the second predicted disaster-causing information.

The nuclear power plant cold source safety early warning device provided by the embodiment of the invention has the same beneficial effects as the nuclear power plant cold source safety early warning method.

In one embodiment, the first prediction module comprises:

the first setting module is used for setting a corresponding data label for the sample early warning factor by using sample biological data to obtain a first training sample, wherein the sample biological data is corresponding biological data when a target nuclear power plant cold source is in disaster;

and the first training module is used for inputting the first training sample into the first neural network for learning and training to obtain the biological evolution model.

In one embodiment, the second prediction module comprises: the second setting module is used for setting a corresponding data label for the sample ocean current information by using the sample track to obtain a second training sample;

and the second training module is used for inputting the second training sample into the second neural network for learning and training to obtain the track prediction model.

In one embodiment, the early warning determination module includes:

the judging module is used for judging whether potential safety hazards exist in the cold source of the target nuclear power plant according to the current disaster causing object information, the first predicted disaster causing object information and the second predicted disaster causing object information; if yes, calling an execution module;

and the execution module is used for determining the magnitude, the type and the size of the predicted disaster causing object.

In one embodiment, the early warning level determination module of the nuclear power plant cold source safety early warning device is used for determining a corresponding safety early warning level according to the predicted magnitude, type and size of a disaster causing object;

and the early warning operation module is used for starting the rear-end equipment to execute early warning operation corresponding to the safety early warning level, and the early warning operation comprises the steps of replacing the type of the intercepting net and/or adjusting the suction intensity of the suction pump and/or adjusting the water consumption of a cold source of the target nuclear power plant according to the predicted magnitude, type and size of the disaster causing object.

In one embodiment, a nuclear power plant cold source safety precaution device further includes:

and the monitoring module is used for visually displaying the current ocean monitoring data and/or the current disaster information and/or the safety early warning result and/or the running state of the rear-end treatment equipment by utilizing the monitoring equipment.

In one embodiment, the method comprises the following steps: the acquisition submodule is used for respectively acquiring current ocean monitoring data of a sea area where a cold source of a target nuclear power plant is located through open sea monitoring, land-based monitoring, underwater monitoring, third-party monitoring, tide level monitoring and net-blowing weighing monitoring; the open sea monitoring comprises open sea investigation and prediction, satellite monitoring and marine life monitoring shipborne integrated equipment movement monitoring; the roadbed monitoring comprises detecting the water surfaces of the harbor basin, the water surface of the water intake canal and the sea area around the water intake through videos; underwater monitoring comprises underwater marine organism monitoring and interception net monitoring; the third party monitoring comprises typhoon and/or tsunami monitoring, meteorological monitoring, marine chemical monitoring and ocean current monitoring;

and the data analysis module is used for determining the current disaster-causing information according to the current ocean monitoring data.

For specific limitations of the nuclear power plant cold source safety early warning device, reference may be made to the above limitations on the nuclear power plant cold source safety early warning method, which is not described herein again. All modules in the nuclear power plant cold source safety early warning device can be completely or partially realized through software, hardware and a combination of the software and the hardware. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:

The computer equipment provided by the embodiment of the invention has the same beneficial effects as the nuclear power plant cold source safety early warning method.

In an embodiment, a nuclear power plant cold source safety early warning system is provided, and fig. 7 is a schematic diagram of a system architecture of the nuclear power plant cold source safety early warning system provided in the embodiment of the present invention; fig. 8 is a system functional topology diagram of a nuclear power plant cold source safety early warning system according to an embodiment of the present invention; the system comprises a computer device 702, and also comprises a collecting device 704 connected with the computer device and used for collecting marine monitoring data; a monitoring device 706 connected to the computer device for visually displaying data information; and the back-end equipment 708 is connected with the computer equipment and used for executing corresponding early warning operation according to the safety early warning result determined by the computer equipment.

Specifically, the computer device 702 is an advanced application part of the nuclear power plant cold source safety early warning system, acquires current marine detection data such as hydrological data, front-end monitoring data, seasonal marine environment data, offshore sea area basic data, a nuclear power plant knowledge base, and marine meteorological office monitoring service data collected by a bottom acquisition device, and forms early warning factors, association rules, biological evolution models, trajectory prediction models and the like of the nuclear power plant cold source safety early warning by means of big data, artificial intelligence, machine learning and deep learning. The service engine comprises front-end acquisition equipment data acquisition and processing, storage, analysis and calculation, various data application services and third-party interface services; the prediction early warning relates to the contents of early warning factor identification, association rule formulation, prediction models and algorithms, biological evolution models, track prediction models and the like; the intelligent decision link can carry out disaster risk grade division, risk evaluation and emergency plan compilation according to long-period historical data, live data and the like.

Specifically, the acquisition device 704 is used to acquire current ocean monitoring data of different spatial dimensions; the acquisition equipment comprises marine organism monitoring shipborne integrated equipment, a satellite, sonar and an in-situ imager of a water intake main inlet, a radar, a panoramic camera, a black light ball machine, a dual-spectrum camera, a tide level instrument, a water quality monitor, front section monitoring of an interception net (comprising the sonar/the in-situ imager/an underwater and overwater camera), monitoring of the interception net (comprising a tension instrument/a camera/a weighing instrument), front and rear liquid level monitors of the interception net and an automatic weighing device of a drum-shaped rotary filter screen.

The rear end treatment equipment 708 is directed at the intercepting net, the intercepting net adopts a herringbone net bag, an automatic suction pump is arranged at the tail end of the net bag, and the operation monitoring and the like of the suction pump can be realized through a PLC control cabinet. The back end device has the function that when disaster-causing objects are clustered or the intercepting net is blocked, the PLC controls the operation of the suction pump to achieve the effect of clearing the intercepting net. In addition, a user can replace the type of the intercepting net and adjust the water consumption of the target nuclear power plant cold source through the rear-end disposal equipment according to the safety early warning level.

In order to facilitate the operation and maintenance personnel to monitor, control and dispose the operation of the nuclear power plant cold source safety early warning system, the matched and unified monitoring equipment 706 can realize the following functions through the monitoring equipment: the method comprises the steps of visually displaying current ocean monitoring data acquired by cold source front-end acquisition equipment, visually displaying current disaster information and/or safety early warning results, monitoring state information of rear-end disposal equipment such as normal operation, fault abnormity, start and stop, accident conditions and the like.

The nuclear power plant cold source safety early warning system provided by the embodiment of the invention has the same beneficial effects as the nuclear power plant cold source safety early warning method.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A cold source safety early warning method for a nuclear power plant is characterized by comprising the following steps:

2. The method of claim 1, wherein the process of setting up the biological evolution model comprises:

3. The method of claim 2, wherein determining the pre-warning factor comprises:

4. The method of claim 3, further comprising:

5. The method of claim 1, wherein the process of setting up the trajectory prediction model comprises:

6. The method of claim 1, wherein the determining a safety precaution result of the target nuclear power plant cold source from the current disaster causing information, the first predicted disaster causing information, and the second predicted disaster causing information comprises:

7. The method of claim 6, wherein after said determining the magnitude, kind and size of the predicted disaster causing matter in the sea or ocean surface, the method further comprises:

8. The method of claim 7, wherein the back-end equipment comprises a suction pump and the suction pump is disposed on a corresponding lifting device, the pre-warning operation further comprising:

9. The method of claim 7, further comprising:

10. The method of claim 7, wherein the pre-warning operation further comprises:

the rotating speed of the drum-shaped rotary filter screen is improved.

11. The method of claim 1, further comprising:

and/or updating the trajectory prediction model by using the current ocean current information and the second predicted disaster causing object information.

12. The method according to any one of claims 1 to 11, wherein the step of acquiring current marine monitoring data of a sea area where the target nuclear power plant cold source is located and determining current disaster information according to the current marine monitoring data comprises:

13. The utility model provides a cold source safety precaution device of nuclear power plant which characterized in that, the device includes:

14. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 12.

15. A nuclear power plant cold source safety pre-warning system, characterized in that the system comprises the computer device as claimed in claim 13, and further comprises a collecting device connected with the computer device and used for collecting marine monitoring data; the monitoring equipment is connected with the computer equipment and is used for visually displaying data information; and the rear-end disposal equipment is connected with the computer equipment and is used for executing corresponding early warning operation according to the safety early warning result determined by the computer equipment.