CN114821982A - Fuel assembly transportation alarm method, device, system, equipment and storage medium - Google Patents

Fuel assembly transportation alarm method, device, system, equipment and storage medium Download PDF

Info

Publication number
CN114821982A
CN114821982A CN202210360587.1A CN202210360587A CN114821982A CN 114821982 A CN114821982 A CN 114821982A CN 202210360587 A CN202210360587 A CN 202210360587A CN 114821982 A CN114821982 A CN 114821982A
Authority
CN
China
Prior art keywords
transportation
state data
fuel assembly
container
alarm
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210360587.1A
Other languages
Chinese (zh)
Inventor
王超
吴腾
李其朋
杨晓东
张持
彭云杰
吴涛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China General Nuclear Power Corp
China Nuclear Power Technology Research Institute Co Ltd
CGN Power Co Ltd
Lingao Nuclear Power Co Ltd
Original Assignee
China General Nuclear Power Corp
China Nuclear Power Technology Research Institute Co Ltd
CGN Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China General Nuclear Power Corp, China Nuclear Power Technology Research Institute Co Ltd, CGN Power Co Ltd filed Critical China General Nuclear Power Corp
Priority to CN202210360587.1A priority Critical patent/CN114821982A/en
Publication of CN114821982A publication Critical patent/CN114821982A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/08Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/021Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences

Abstract

The application relates to a fuel assembly transportation alarm method, a fuel assembly transportation alarm device, a fuel assembly transportation alarm system, fuel assembly transportation equipment and a storage medium. The method comprises the steps that the control device obtains transportation state data of a nuclear fuel assembly transported by a target transport tool; and if the transportation state data are determined to meet the preset alarm conditions, carrying out alarm processing. By adopting the method, the control equipment is arranged on the target transport means, the transport state data of the target transport means is obtained in the process of transporting the nuclear fuel assembly by the target transport means, and the alarm is given under the condition that the transport state data meets the alarm condition, so that related personnel are prompted to carry out safety inspection or maintenance, and the safety of the transportation of the nuclear fuel assembly is improved.

Description

Fuel assembly transportation alarm method, device, system, equipment and storage medium
Technical Field
The application relates to the technical field of transportation management, in particular to a fuel assembly transportation alarm method, device, system, equipment and storage medium.
Background
Nuclear fuel assemblies are typically manufactured at a production site and then need to be transported to a nuclear power plant. With the rapid development of the nuclear field in China, the transportation quantity and variety of nuclear fuel assemblies are continuously increased, the transportation of the nuclear fuel assemblies belongs to the transportation of high-sensitivity and high-risk radioactive substances, and the transportation safety influences the environmental safety and public health.
Therefore, how to ensure the transportation safety of the nuclear fuel assembly becomes a technical problem to be solved urgently.
Disclosure of Invention
In view of the above, it is necessary to provide a fuel assembly transportation warning method, apparatus, system, device, and storage medium capable of improving the transportation safety of nuclear fuel assemblies.
In a first aspect, the present application provides a fuel assembly transportation warning method, applied to a control device, the method including:
acquiring transportation state data of a nuclear fuel assembly transported by a target transport vehicle; if the transportation state data are determined to meet the preset alarm conditions, carrying out alarm processing; the alarm condition comprises that the target transport means enters an early warning area, and the transport state data exceeds at least one of preset safety ranges; the early warning area is determined by the server according to the transportation state data in the historical time period.
In one embodiment, the determining that the transportation status data meets the predetermined warning condition includes:
and if the geographical position of the target transport means is detected to be located in the early warning area, determining that the transport state data meets the early warning condition.
In one embodiment, determining that the transportation state data meets a preset early warning condition includes:
comparing the transportation state data with a preset safety range; and if the transportation state data are detected to exceed the preset safety range, determining that the transportation state data meet the early warning condition.
In one embodiment, the transportation status data includes distance data between two preset positions in the target transportation means, the preset safety range includes a preset distance range, and detecting that the transportation status data exceeds the preset safety range includes:
and if the distance data exceeds the preset distance range, determining that the transportation state data meets the early warning condition.
In one embodiment, the method further comprises:
before the nuclear fuel assembly is transported by the target transport means, carrying out safety detection according to the safety parameters of the target container; the target container is used for placing nuclear fuel assemblies, and the safety parameters are determined by the server according to the transportation state data in the historical time period; and if the safety detection fails, outputting prompt information for overhauling the target container.
In one embodiment, the safety parameter includes at least one of vibration isolation efficiency, system stiffness, and fatigue usage factor; the vibration isolation efficiency is used for indicating the vibration damping efficiency of the target container; system stiffness is used to indicate the ability of the target container to resist deformation; the fatigue usage factor is used to indicate a fatigue state of the target vessel.
In a second aspect, the present application provides a fuel assembly transportation warning method, applied to a server, the method including:
acquiring transportation state data of the transported nuclear fuel assembly, which are respectively sent by a plurality of control devices; determining an alarm condition according to the plurality of transport state data, and sending the alarm condition to each control device; the alarm condition comprises that the transport means enters an early warning area, and the transport state data exceeds at least one of preset safety ranges.
In one embodiment, determining an alarm condition based on a plurality of transport state data includes:
screening abnormal transportation state data from the plurality of transportation state data; and determining an early warning area according to the geographical position corresponding to the abnormal transportation state data.
In one embodiment, the method further comprises:
determining safety parameters of containers corresponding to the control equipment according to the transportation state data sent by the control equipment; the container is used for placing nuclear fuel assemblies; and sending the safety parameters of each container to corresponding control equipment so that each control equipment can carry out safety detection before the nuclear fuel assembly is transported.
In one embodiment, the transportation state data comprises acceleration data, and the safety parameter comprises vibration isolation efficiency; according to the transportation state data sent by each control device, determining the safety parameters of the container corresponding to each control device, wherein the safety parameters comprise:
for each control device, determining the vibration transfer rate of the container in each direction within a preset time period according to the acceleration data; the vibration transmissibility of the container is used for representing the vibration reduction effect of the container; the largest container vibration transmissibility among the plurality of container vibration transmissibility is determined as the vibration isolation efficiency.
In one embodiment, the safety parameter includes system stiffness; according to the transportation state data sent by each control device, determining the safety parameters of the container corresponding to each control device, wherein the safety parameters comprise:
and determining the system stiffness according to the frequency corresponding to the vibration isolation efficiency.
In one embodiment, the transportation state data comprises acceleration data, and the safety parameter comprises a fatigue usage factor; according to the transportation state data sent by each control device, determining the safety parameters of the container corresponding to each control device, wherein the safety parameters comprise:
dividing the acceleration data into a plurality of subdata; calculating fatigue times corresponding to the subdata by using a rain flow counting method; and determining a fatigue use factor according to the fatigue times corresponding to the plurality of subdata.
In a third aspect, the present application provides a fuel assembly transportation warning device for use with a control apparatus, the device comprising:
the acquisition module is used for acquiring transportation state data of the nuclear fuel assembly transported by the target transport vehicle;
the alarm module is used for carrying out alarm processing if the transportation state data are determined to meet the preset alarm conditions; the alarm condition comprises that the target transport means enters an early warning area, and the transport state data exceeds at least one of preset safety ranges; the early warning area is determined by the server according to the transportation state data in the historical time period.
In one embodiment, the transportation state data includes a geographic location of the target transportation vehicle, and the alarm module is specifically configured to determine that the transportation state data meets the early warning condition if it is detected that the geographic location of the target transportation vehicle is within the early warning area.
In one embodiment, the alarm module is specifically configured to compare the transportation state data with a preset safety range; and if the transportation state data are detected to exceed the preset safety range, determining that the transportation state data meet the early warning condition.
In one embodiment, the transportation state data includes distance data between two preset positions in the target transportation tool, the preset safety range includes a preset distance range, and the alarm module is specifically configured to determine that the transportation state data meets the early warning condition if the distance data exceeds the preset distance range.
In one embodiment, the device further comprises a security detection module and an output module;
the safety detection module is used for carrying out safety detection according to the safety parameters of the target container before the nuclear fuel assembly is transported by the target transport vehicle; the target container is used for placing nuclear fuel assemblies, and the safety parameters are determined by the server according to the transportation state data in the historical time period;
the output module is used for outputting prompt information of the overhaul target container if the safety detection fails.
In one embodiment, the safety parameter includes at least one of vibration isolation efficiency, system stiffness, and fatigue usage factor; the vibration isolation efficiency is used for indicating the vibration damping efficiency of the target container; system stiffness is used to indicate the ability of the target container to resist deformation; the fatigue usage factor is used to indicate a fatigue state of the target vessel.
In a fourth aspect, the present application provides a fuel assembly transportation warning device applied to a server, the device including:
the acquisition module is used for acquiring transportation state data of the transportation nuclear fuel assembly, which are respectively sent by the plurality of control devices;
the first determining module is used for determining an alarm condition according to the plurality of transportation state data and sending the alarm condition to each control device; the alarm condition comprises that the transport means enters an early warning area, and the transport state data exceeds at least one of preset safety ranges.
In one embodiment, the first determining module is specifically configured to screen the abnormal transportation state data from the plurality of transportation state data; and determining an early warning area according to the geographical position corresponding to the abnormal transportation state data.
In one embodiment, the apparatus further comprises a second determining module and a sending module;
the second determining module is used for determining the safety parameters of the container corresponding to each control device according to the transportation state data sent by each control device; the container is used for placing nuclear fuel assemblies;
the sending module is used for sending the safety parameters of the containers to the corresponding control equipment so that the control equipment can carry out safety detection before the nuclear fuel assembly is transported.
In one embodiment, the transportation state data comprises acceleration data, and the safety parameter comprises vibration isolation efficiency; the second determining module is specifically used for determining the vibration transmissibility of the container in each direction within a preset time period according to the acceleration data for each control device; the vibration transmissibility of the container is used for representing the vibration reduction effect of the container; the largest container vibration transmissibility among the plurality of container vibration transmissibility is determined as the vibration isolation efficiency.
In one embodiment, the safety parameter includes system stiffness; the second determining module is specifically used for determining the system stiffness according to the frequency corresponding to the vibration isolation efficiency.
In one embodiment, the transportation state data comprises acceleration data, and the safety parameter comprises a fatigue usage factor; the second determining module is specifically configured to divide the acceleration data into a plurality of subdata; calculating fatigue times corresponding to the subdata by using a rain flow counting method; and determining a fatigue use factor according to the fatigue times corresponding to the plurality of subdata.
In a fifth aspect, the present application provides a fuel assembly transportation warning system, the system comprising a control device and a server;
a control device for executing the fuel assembly transportation warning method according to any one of the first aspect;
a server for executing the fuel assembly transportation warning method according to any one of the second aspect.
In a sixth aspect, the present application further provides a computer device. The computer arrangement comprises a memory storing a computer program and a processor implementing the fuel assembly transportation warning method of any of the first or second aspects described above when the processor executes the computer program.
In a seventh aspect, the present application further provides a computer-readable storage medium. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the fuel assembly transportation warning method of any one of the first or second aspects described above.
In an eighth aspect, the present application further provides a computer program product. A computer program product comprising a computer program which, when executed by a processor, implements the fuel assembly transportation warning method of any one of the first or second aspects described above.
The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:
according to the fuel assembly transportation alarm method, the device, the system, the equipment and the storage medium, the control equipment acquires the transportation state data of the nuclear fuel assembly transported by the target transport vehicle; and if the transportation state data are determined to meet the preset alarm conditions, carrying out alarm processing. Through this application embodiment, controlgear installs on the target transport means, at the in-process of target transport means transportation nuclear fuel assembly, acquires the transport state data of target transport means, reports to the police under the condition that transport state data accords with the alarm condition, and the suggestion relevant personnel carry out safety inspection or maintenance to improve the security of nuclear fuel assembly transportation.
Drawings
FIG. 1 is a diagram of an environment in which a fuel assembly transportation warning method is applied in one embodiment;
FIG. 2 is one of the block diagrams of the structure of the intelligent transportation management system in one embodiment;
FIG. 3 is a block diagram of a second embodiment of an intelligent transportation management system;
FIG. 4 is a third block diagram illustrating the structure of an intelligent transportation management system in one embodiment;
FIG. 5 is a block diagram of the intelligent transportation management system in one embodiment;
FIG. 6 is a functional block diagram of an intelligent transportation management system in one embodiment;
FIG. 7 is a flow diagram illustrating a fuel assembly transportation warning method according to one embodiment;
FIG. 8 is a second schematic flow chart of a fuel assembly transportation warning method according to another embodiment;
FIG. 9 is a third schematic flow chart of a fuel assembly transportation warning method according to another embodiment;
FIG. 10 is a fourth flowchart of a fuel assembly transportation warning method according to another embodiment;
FIG. 11 is a fifth flowchart of a fuel assembly transportation warning method according to another embodiment;
FIG. 12 is a sixth schematic flow chart illustrating a fuel assembly transportation warning method according to another embodiment;
FIG. 13 is a seventh schematic flow chart illustrating a fuel assembly transportation warning method according to another embodiment;
FIG. 14 is an eighth schematic flow chart diagram illustrating a fuel assembly transportation warning method according to another embodiment;
FIG. 15 is a ninth schematic flow chart illustrating a fuel assembly transportation warning method according to another embodiment;
FIG. 16 is a block diagram showing the construction of a fuel assembly transportation warning device in another embodiment;
FIG. 17 is a second block diagram of the fuel assembly transportation warning device according to another embodiment;
fig. 18 is an internal structural view of a computer device in another embodiment.
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.
The fuel assembly transportation alarm method provided by the embodiment of the application can be applied to an intelligent transportation management system shown in figure 1. The intelligent transportation management system includes a control device 20 and a server 70. Where the control device 20 is installed on a vehicle, the server 70 may be implemented as a stand-alone server or a server cluster consisting of a plurality of servers. The intelligent transportation management system may further include a container state collection device 10, an alarm response terminal 30, an emergency standby power supply 40, a video collection device 50, and an integrated antenna device 60.
The container is used for placing a nuclear fuel assembly, the container state acquisition equipment 10 is installed on the container, and the acceleration sensor 12, the temperature and humidity sensor 13, the air pressure sensor 14 and the ultrasonic sensor 15 are integrated, so that the three-axis acceleration, temperature and humidity and air pressure state monitoring of the container and the nuclear fuel assembly is realized. The structural block diagram of the container state acquisition device 10 is shown in fig. 2, and the STM32 main control board 11 is used as a core, and includes a power module 16, a CAN communication module 17, and a 485 communication module 18, and includes a network port that CAN be reserved as an extended communication interface. The proximity switch 19 is installed at the bottom of the container monitoring terminal 10, and when the container state acquisition device 10 falls off or loosens from the installation bottom plate, the distance between the proximity switch 19 and the bottom plate is increased, and at the moment, the falling fault of the container state acquisition device is warned.
As shown in fig. 3, the control device 20 integrates a Beidou positioning module 22, a satellite communication module 23, a 5G communication module 24, an encryption module 25, an RFID module 26, a gyroscope 27 and a storage module 28 with an X86 main control board 21 as a core. The control device acquires the transportation state data acquired by the container state acquisition device 10, and transmits the transportation state data to the server 70 through the communication network, so that the acquisition, storage and transmission of the transportation state data are realized. The encryption module 25 is used to encrypt the transmission data, so as to prevent malicious deletion and tampering of the transmission and storage data and access of the stored data by external hardware devices. The control device 20 sends the acquired data information to the X86 main control board 21 for analysis processing, and then sends the data information to the encryption module 25 for encryption, and then transmits the ciphertext. The RFID module 26 transmits the information of the transport tool, the container, the monitoring equipment and the driver to the server, so that the four are bound, and management is facilitated.
The alarm response terminal 30 realizes a system alarm function, and improves the safety of the transportation means. As shown in fig. 4, the alarm response terminal 30 uses an ARM9 controller 31 as a core, and integrates a Beidou positioning module 32, a 4G communication module 33, an RFID module 34, a fingerprint identification module 35, a front camera 36, a rear camera 37 and an 8-inch liquid crystal display 38. And a USB interface and an SD card are configured as an external data memory, and a serial port protocol is adopted to communicate with the wireless communication module.
The Beidou positioning module 32 is used for positioning the position of the alarm response terminal 30 in real time and realizing the navigation of the transport means. The 4G communication module 33 realizes communication between the alarm response terminal 30 and the server 70, and is configured to receive a path planning signal and an alarm signal of the server 70, and the alarm response terminal 30 may report an abnormal alarm and a location signal to the server 70. RFID module 34 detects the electronic tags of the transport and cargo for binding the transport and cargo information. The fingerprint identification module 35 can perform identity authentication, and the security of the system is increased. The front camera 36 and the rear camera 37 take pictures of the abnormal situations in the field, and upload the images to the server 70 through the 4G communication module 33.
The emergency standby power supply 40 supplies power to the container state acquisition device 10 and the control device 20, and supplies power to the device under the condition that the vehicle-mounted power supply cannot supply power, so that the device can supply power uninterruptedly. The emergency standby power supply 40 and the control device 20 are powered and communicated through a power supply communication cable, and the cable totally comprises 6 cores, a 2-core power line, a 2-core RS485 bus and a 2-core switch interface. After the discharging connector is connected, the switch interface is opened and conducted, and the battery is prevented from being started accidentally. The emergency standby power supply 40 is not connected to the container state collection device 10 by a cable, and is indirectly supplied with power through the control device 20. The emergency standby power supply 40 is internally provided with a power management circuit board, so that automatic charging and discharging switching, temperature monitoring, real-time electric quantity display and low-electric quantity alarm are realized, and the safety of the battery is guaranteed. As shown in fig. 5, the power management circuit board integrates a BMS battery management unit 42, a power monitoring module 43, a battery monitoring module 44, and a power distribution module 45 with an ARM main control board 41 as a core. The BMS battery management unit 42 manages the power supply monitoring module 43, the battery monitoring module 44, and the power distribution module 45.
Video capture device 50 enables video monitoring of the interior of the vehicle and the front end of the vehicle. The video capture device 50 includes a front camera 51 and a rear camera 52 that record the conditions of the vehicle and the cargo. The two cameras are connected to the switch, and then connected to the control device 20 through the switch, and video image transmission is performed through the internet access. Through the combination of the video acquisition equipment and the container state acquisition equipment, the monitoring on the transportation process is further improved.
The integrated antenna device 60 integrates the antennas of the beidou positioning module 22, the satellite communication module 23 and the 5G communication module 24 of the central control equipment 20. The integrated antenna device 60 can be folded by the limiting groove and the movable part, so that the influence of the impact on foreign matters on the signal transmission strength is avoided.
The server 70 implements a statistical analysis function, a device management function, an electronic map management function, and a system management function. The statistical analysis function analyzes the transportation monitoring data every time, expresses a statistical analysis result in a text or graph mode and provides warning, equipment management comprises equipment parameter configuration and equipment control of a system, and electronic map management realizes efficient monitoring and management of the position of a transportation tool and comprises roaming, reduction, enlargement, frame drawing reduction, frame drawing enlargement, full map, scale display, distance measurement, printing, labeling, area measurement and geographic information query of an electronic map. The system management comprises authorization management of different users, such as: user management, role management, authority management and log management, and system safety is guaranteed.
In summary, as shown in fig. 6, the functions of the intelligent transportation management system include a data acquisition and communication function, a transportation monitoring function, a system alarm function, an electronic map management function, a statistical analysis function, a device management function, a preset information management function, and a system management function. The container state acquisition device 10, the control device 20 and the video acquisition device 50 realize a data acquisition communication function and a transportation monitoring function, realize monitoring of a transport vehicle position, a container state and a vehicle video, the control device 20, the alarm terminal 30 and the server 70 realize a system alarm function and a preset information management function, and the server 70 realizes an electronic map management function, a statistical analysis function, a device management function and a system management function. Through this system with carrier, shipper, consignee and supervision department seamless connection, all can log in the server and look over the transport state, solve the problem that can't monitor in the traditional transportation, can carry out the early warning according to the early warning condition simultaneously, reduced the safety risk in the transportation.
In one embodiment, as shown in fig. 7, a fuel assembly transportation warning method is provided, which is illustrated by way of example as being applied to the control apparatus 20 in fig. 1, and includes the following steps:
step 701, the control device obtains transportation state data of the nuclear fuel assembly transported by the target transport vehicle.
Wherein the control device is mounted on the target transport means, the transport state data of the nuclear fuel assembly is collected by the container state collecting device, and the structures of the control device and the container state collecting device are as described in the above embodiment. The control equipment and the container state acquisition equipment can communicate through a serial port or a network port to acquire the transportation state data of the nuclear fuel assembly transported by the target transport means. For example, a power supply communication cable is used for power supply and communication, and the cable comprises 6 cores, a 2-core 12V power supply wire, a 2-core CAN bus and a 2-core RS485 bus in total.
And step 702, if the control equipment determines that the transportation state data meet the preset alarm condition, performing alarm processing.
The alarm condition comprises that the target transport means enters an early warning area, and the transport state data exceeds at least one of preset safety ranges; the early warning area is determined by the server according to the transportation state data in the historical time period.
Optionally, the Beidou positioning module of the control device can realize positioning of the position of the target transport means, the early warning area is sent to a navigation map of the alarm response terminal by the server to be displayed, when the control device detects that the geographic position of the target transport means enters the early warning area, the control device outputs alarm information to the alarm response terminal, and the alarm information indicates the alarm response terminal to display that the target transport means enters the early warning area on the navigation map and carries out voice reminding.
In the fuel assembly transportation alarm method, the control equipment acquires transportation state data of the nuclear fuel assembly transported by the target transport vehicle; and if the transportation state data are determined to meet the preset alarm conditions, carrying out alarm processing. Through this application embodiment, controlgear installs on the target transport means, at the in-process of target transport means transportation nuclear fuel assembly, acquires the transport state data of target transport means, reports to the police under the condition that transport state data accords with the alarm condition, and the suggestion relevant personnel carry out safety inspection or maintenance to improve the security of nuclear fuel assembly transportation.
In one embodiment, the transportation status data includes a geographical location of the target transportation vehicle, and the step of determining that the transportation status data meets the preset warning condition may include:
and if the control equipment detects that the geographic position of the target transport means is located in the early warning area, determining that the transport state data meets the early warning condition.
Optionally, the Beidou positioning module of the control device can realize real-time monitoring of the position of the target transport means, realize vehicle tracking, and confirm that the early warning condition is met when the control device detects that the geographic position of the target transport means is located in the early warning area.
In the embodiment, the early warning area is identified in advance, and the control device monitors whether the early warning area meets the early warning condition in real time in the transportation process, so that the transportation risk is judged in advance.
In an embodiment, as shown in fig. 8, the step of determining that the transportation state data meets the preset warning condition may include:
step 801, the control device compares the transportation state data with a preset safety range.
The preset safety range is a preset value within a safety range in which each safety parameter in the transportation of the nuclear fuel assembly meets the national standard.
Step 802, if the control device detects that the transportation state data exceeds a preset safety range, determining that the transportation state data meets an early warning condition.
Optionally, the control device detects that the transportation state data exceeds a preset safety range, determines that the transportation state data meets an early warning condition, and gives an alarm. For example, when the acceleration data exceeds a preset acceleration safety range, an impact alarm is carried out; when the speed exceeds a preset speed safety range, carrying out overspeed alarm; and when the parking time exceeds a preset time safety range, performing overtime parking alarm.
Optionally, the proximity switch is installed at the bottom of the container state acquisition equipment, when the container state acquisition equipment falls off or loosens from the installation bottom plate, the distance between the proximity switch and the bottom plate is increased to exceed a preset safe distance range, and at the moment, the falling fault of the container state acquisition equipment is warned, and equipment fault alarming is carried out.
In the above embodiment, the control device compares the transportation state data with a preset safety range, and if the transportation state data is abnormal, an alarm is given, so that the container state is monitored. Furthermore, the proximity switch is arranged on the container state acquisition equipment, so that whether the container state acquisition equipment falls off or not can be monitored in real time, and false alarm caused by faults of the monitoring equipment is avoided.
In one embodiment, the step of detecting that the transportation status data exceeds the preset safety range may include:
and if the distance data exceeds the preset distance range, determining that the transportation state data meets the early warning condition.
The container state acquisition equipment comprises an ultrasonic sensor, the distance a between the installation position of the ultrasonic sensor and the position of the upper cover of the container is detected, the distance is compared with the distance b between the installation position of the ultrasonic sensor and the position of the upper cover of the container, which are stored in the system in advance, if the distance a is greater than b, the distance between the installation position of the ultrasonic sensor and the upper cover of the container is changed, namely the upper cover of the container is opened, and the condition that the container meets the early warning condition is determined.
In the above-mentioned embodiment, through setting up ultrasonic sensor, realized the detection of unpacking of container, help the discernment whether because the transportation goods that inside personnel caused damages.
In one embodiment, the present application embodiment may further include: before the nuclear fuel assembly is transported by the target transport vehicle, carrying out safety detection according to the safety parameters of the target container; the target container is used for placing nuclear fuel assemblies, and the safety parameters are determined by the server according to the transportation state data in the historical time period; and if the safety detection fails, outputting prompt information for overhauling the target container.
The control equipment carries out safety detection according to the safety parameters of the target container sent by the server, and the target container is provided with the shock absorber for improving the safety of transportation in the transportation process. Wherein the safety parameter comprises at least one of vibration isolation efficiency, system rigidity and fatigue use factor; the vibration isolation efficiency is used for indicating the vibration damping efficiency of the target container; system stiffness is used to indicate the ability of the target container to resist deformation; the fatigue usage factor is used to indicate a fatigue state of the target vessel. For example, the service life of the shock absorber is set to be 5 years, the vibration isolation efficiency changes by more than 50% and the system rigidity changes by more than 30%, the safety detection fails when any one safety parameter exceeds the threshold, and prompt information of overhauling a target container is output at the moment.
In the above embodiment, the control device performs security detection on the target transport means, and prompts when the detection fails, so that the risk of cargo damage in the transport process is avoided, and risk prejudgment is realized.
In one embodiment, as shown in fig. 9, a fuel assembly transportation warning method is provided, which is illustrated by applying the method to the server 70 in fig. 1, and includes the following steps:
in step 901, the server obtains transportation state data of the transported nuclear fuel assembly, which is sent by a plurality of control devices respectively.
The system comprises a server, a plurality of control devices and a satellite communication module, wherein the server and the control devices carry out remote communication to obtain transport state data of the transport nuclear fuel assemblies respectively sent by the control devices, the communication mode adopts a mode of combining 5G communication and satellite communication, data are transmitted through the 5G communication module under normal conditions, and short messages can be uploaded to the server through the satellite communication module when network faults or signal intensity is poor.
And step 902, the server determines an alarm condition according to the plurality of transportation state data and sends the alarm condition to each control device.
The alarm condition comprises that the transport means enters an early warning area, and the transport state data exceeds at least one of preset safety ranges.
And after receiving the plurality of transportation state data, the server performs statistics and correlation analysis on the data to determine an early warning area in the transportation process. And sending the early warning area to each control device for early warning.
In the fuel assembly transportation alarm method, a server acquires transportation state data of a transported nuclear fuel assembly, which are respectively sent by a plurality of control devices; and determining an alarm condition according to the plurality of transportation state data, and sending the alarm condition to each control device. By the method, the server determines the alarm condition in advance according to the historical transportation state data and sends the alarm condition to the control equipment, so that the control equipment can give an alarm when the transportation state data of the target transportation tool meets the alarm condition in the process of transporting the nuclear fuel assembly by the target transportation tool, and the transportation safety of the nuclear fuel assembly is improved.
In one embodiment, as shown in fig. 10, the step of determining an alarm condition based on the plurality of transportation status data further comprises:
step 1001, the server screens out abnormal transportation state data from the plurality of transportation state data.
As shown in fig. 11, the transportation state data is subjected to feature extraction algorithm processing to extract various transportation state data, then feature change significance analysis processing is performed, and a result obtained by performing clustering algorithm processing on a result of the feature change significance analysis is stored in the database. And simultaneously, screening all data of the alarm event through relevance analysis to obtain abnormal transportation state data, and mainly performing matching through time points. For example, when acceleration alarm occurs, data such as temperature and humidity, air pressure, inclination angle, vehicle speed, position, impact strength and the like are screened out according to the ranges of 15s before and after the alarm time point, and the data are packaged into transportation state data of an alarm event. The alarm reason is obtained through analysis, and the alarm reason, the alarm place and the alarm type form a fault library and are stored in a database.
The transportation state data comprises acceleration data, temperature and humidity data, air pressure data, inclination angle data, position data and vehicle speed data. And configuring a characteristic value before each type of monitoring data, and classifying the transportation state data according to the characteristic value. And processing the data through a feature extraction algorithm. The characteristic extraction algorithm comprises an online monitoring algorithm, and is used for analyzing and displaying characteristic values of acquired data, wherein the acceleration data is subjected to peak value processing, the air pressure and temperature and humidity data are subjected to mean value processing, and other data do not need to be processed.
For example, the acceleration on-line monitoring algorithm takes the maximum value of all the axial acceleration and the radial acceleration in the container as the axial acceleration value and the radial acceleration value of the container.
Z max =max{Z j }(j=1~n)
R max =max{R j }(j=1~n)
N is the number of the transport containers of the project;
Z j -peak axial acceleration in each container, in g;
R j -peak radial acceleration in each container, in g;
Z max -maximum value of the peak of the axial acceleration in all the containers of the item, in g;
R max -maximum value of the radial acceleration peak in all the containers of the item, in g.
Temperature and humidity on-line monitoring algorithm statistics is carried out on temperature and humidity states in each container, 4 container state collecting devices are installed in each container, 4 temperature and humidity values can be obtained during container state analysis and comprise an inner front end temperature and humidity, an inner rear end temperature and humidity, an outer front end temperature and humidity and an outer rear end temperature and humidity, wherein the inner temperature and the outer temperature and humidity of the container are different, the inner temperature and humidity of the container are mean values of the inner front end temperature and the inner rear end temperature and humidity of the container, and the outer temperature and humidity of the container are mean values of the outer front end temperature and the outer rear end temperature and humidity of the container.
Figure BDA0003585022040000121
Figure BDA0003585022040000122
In the formula T Inner front end -front end temperature/humidity value inside the vessel, unit ℃/%;
T inner rear end -value of temperature/humidity of the rear end of the interior of the vessel, in ℃/%);
T External front end -value of temperature/humidity of the external front end of the container, unit ℃/%;
T external back end -value of temperature/humidity of the external rear end of the container, unit ℃/%;
T inner part Average value of temperature/humidity inside the container, unit ℃/%;
T outer cover Average value of temperature/humidity outside the container, unit ℃/%.
The air pressure on-line detection algorithm is the same as the temperature and the humidity.
The characteristic change significance analysis comprises time domain analysis, and alarm events existing in the transportation state data are extracted and recorded. And after the acceleration alarm event is extracted, performing time domain analysis on the acceleration original data, directly performing curve point plotting display on the acceleration original data, and observing the data change trend before and after the acceleration alarm. The clustering algorithm includes performing a frequency domain analysis on the acceleration data.
Through the processing, the server screens the abnormal transportation state data from the plurality of transportation state data and stores the related data into the database.
Step 1002, the server determines an early warning area according to the geographical position corresponding to the abnormal transportation state data.
The server determines a risk area in the transportation process according to the fault library, wherein the risk area information comprises an alarm place, an alarm type and an alarm reason, the distribution position of the risk area on a map is displayed at the server, the first 50-100 meters of the risk area are defined as a redundant area, and the risk area and the redundant area are early warning areas. The early warning area is displayed on a navigation map of the alarm response terminal, and when the control device detects that the geographic position of the target transport means is located in the early warning area, the alarm response terminal can perform voice reminding.
In the above embodiment, the server screens out abnormal transportation state data from the plurality of transportation state data, and determines the early warning area according to the geographical position corresponding to the abnormal transportation state data. By identifying the early warning area in advance, whether the early warning condition is met or not is monitored in real time by the control equipment in the transportation process, and the transportation risk is prejudged.
In one embodiment, as shown in fig. 12, the embodiment of the present application may further include:
step 1201, the server determines the security parameters of the container corresponding to each control device according to the transportation state data sent by each control device.
The container is used for placing the nuclear fuel assembly, and the safety parameters of the container corresponding to each control device can be obtained by carrying out clustering algorithm processing on the acceleration data in the transportation state data according to the data analysis method shown in the figure 10.
Step 1202, the server sends the safety parameters of the containers to corresponding control equipment, so that the control equipment can perform safety detection before transporting the nuclear fuel assembly.
In one embodiment, the transportation state data includes acceleration data, the safety parameter includes vibration isolation efficiency, and the determining of the vibration isolation efficiency includes:
step 1301, the server determines the vibration transfer rate of the container in each direction in a preset time period according to the acceleration data for each control device.
The vessel vibration transmissibility is used to characterize the vibration damping effect of the vessel.
And the server performs frequency analysis on the acceleration data to obtain a power spectrum. The power spectrum may reflect the magnitude of the vibration signal energy. The expression of the power spectrum is as follows:
Figure BDA0003585022040000131
Figure BDA0003585022040000132
where x (t) -the original signal of acceleration, in units g;
x (f) -amplitude spectrum, in g;
s (f) -Power Spectrum, Unit g 2 /Hz。
And the vibration transmissibility of the container is the ratio of the acceleration power spectrum inside the container to the acceleration power spectrum outside the container. Since the acceleration data amount of the whole single transportation process is too large, the frequency spectrum analysis cannot be performed on all the acceleration data, and therefore representative acceleration data can be selected. For example, acceleration data for a period of time before and after the acceleration maximum may be selected for spectral analysis.
In step 1302, the server determines a largest container vibration transmissibility among the plurality of container vibration transmissibility as the vibration isolation efficiency.
And after the vibration transfer rates of the container in a plurality of time periods are calculated, the largest vibration transfer rate of the container is taken as the vibration isolation efficiency.
Optionally, the safety parameters further include system stiffness, and the system stiffness is determined according to a frequency corresponding to the vibration isolation efficiency.
After the vibration isolation efficiency is determined, the system stiffness can be obtained according to the frequency corresponding to the vibration isolation efficiency in the container vibration transmissivity curve.
In the embodiment, the change of the vibration isolation efficiency and the system rigidity can reflect the effect of the container vibration absorber, the historical vibration isolation efficiency and the change of the system rigidity are calculated by the server, and when the change exceeds a threshold value, the condition that the container needs to be overhauled is indicated, and early warning prompt is carried out, so that the safety of a transport tool is improved.
Furthermore, the average value of a plurality of sensors is obtained in calculation, so that data errors caused by faults of monitoring equipment are avoided, and false alarm is prevented.
Optionally, the transportation state data includes acceleration data, the safety parameter includes a fatigue usage factor, as shown in fig. 14, and the determining step of the fatigue usage factor includes:
in step 1401, the server divides the acceleration data into a plurality of sub data.
Optionally, the server divides the acceleration into intervals to obtain a plurality of sub data sets, for example, 10 sub data sets.
Step 1402, the server calculates fatigue times corresponding to the sub-data by using a rain flow counting method.
Rain flow counting is commonly used for fatigue analysis. The fatigue counts of each of the plurality of sub data groups divided in step 1401 can be obtained by a rain flow counting method.
And step 1403, the server determines a fatigue use factor according to the fatigue times corresponding to the plurality of subdata.
The fatigue factors can be obtained through the fatigue times of different intervals and the fatigue times which can be borne by the intervals in a rated mode, and the accumulated fatigue factors are the sum of the fatigue factors of all the intervals.
Optionally, 4 acceleration sensors are installed in each container, so that 4 accumulated fatigue factors can be obtained, and the maximum value of the 4 accumulated fatigue factors is taken as a fatigue utilization factor.
In the embodiment, the fatigue use factor can reflect the fatigue state of the container in the transportation process, and when the fatigue use factor exceeds a preset value, the target transportation tool is reminded to overhaul the container, so that the transportation safety is further ensured.
In an embodiment of the present application, please refer to fig. 15, which illustrates a flowchart of a fuel assembly transportation warning method provided by an embodiment of the present application, the fuel assembly transportation warning method includes the following steps:
in step 1501, the server acquires transportation state data of the transported nuclear fuel assembly, which is transmitted by the plurality of control devices, respectively.
And 1502, determining an alarm condition according to the transportation state data by the server, and sending the alarm condition to each control device.
In step 1503, the control device obtains transportation state data of the nuclear fuel assembly transported by the target transport vehicle.
And 1504, if the control equipment determines that the transportation state data meet the preset alarm conditions, performing alarm processing.
By the method, the server determines the alarm condition in advance according to the historical transportation state data and sends the alarm condition to the control equipment, so that the control equipment can give an alarm when the transportation state data of the target transportation tool meets the alarm condition in the process of transporting the nuclear fuel assembly by the target transportation tool, and the transportation safety of the nuclear fuel assembly is improved.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially 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 the flowcharts related to the embodiments described above 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 execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the application also provides a fuel assembly transportation warning device 1600 for realizing the fuel assembly transportation warning method. The apparatus is applied to a control device, and as shown in fig. 16, the apparatus includes:
an obtaining module 1601 for obtaining transportation status data of a target transport vehicle transporting a nuclear fuel assembly;
an alarm module 1602, configured to perform alarm processing if it is determined that the transportation state data meets a preset alarm condition; the alarm condition comprises that the target transport means enters an early warning area, and the transport state data exceeds at least one of preset safety ranges; the early warning area is determined by the server according to the transportation state data in the historical time period.
In an optional embodiment of the present application, the transportation status data includes a geographic location of the target transportation tool, and the alarm module 1602 is specifically configured to determine that the transportation status data meets the early warning condition if it is detected that the geographic location of the target transportation tool is located in the early warning area.
In an optional embodiment of the present application, the alarm module 1602 is specifically configured to compare the transportation state data with a preset safety range; and if the transportation state data are detected to exceed the preset safety range, determining that the transportation state data meet the early warning condition.
In an optional embodiment of the present application, in one embodiment, the transportation status data includes distance data between two preset positions in the target transportation tool, the preset safety range includes a preset distance range, and the alarm module 1602 is specifically configured to determine that the transportation status data meets the early warning condition if the distance data exceeds the preset distance range.
The embodiment of the application also provides another fuel assembly transportation alarm device, which comprises the following modules in addition to the modules shown in fig. 16:
the safety detection module is used for carrying out safety detection according to the safety parameters of the target container before the nuclear fuel assembly is transported by the target transport tool; the target container is used for placing nuclear fuel assemblies, and the safety parameters are determined by the server according to the transportation state data in the historical time period;
and the output module is used for outputting prompt information of the overhaul target container if the safety detection fails.
In an embodiment of the present application, the safety parameter includes at least one of vibration isolation efficiency, system stiffness, and fatigue usage factor; the vibration isolation efficiency is used for indicating the vibration damping efficiency of the target container; the system stiffness is indicative of the target container's ability to resist deformation; the fatigue usage factor is indicative of a fatigue state of the target vessel.
The fuel assembly transportation alarm device provided by the embodiment of the application can realize the embodiment of the fuel assembly transportation alarm method applied to the control equipment, the realization principle and the technical effect are similar, and the repeated description is omitted.
The modules in the fuel assembly transportation warning device can be wholly or partially realized by software, hardware and a combination thereof. 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.
The embodiment of the application also provides a fuel assembly transportation alarm device for realizing the fuel assembly transportation alarm method. The apparatus is applied to a server, and as shown in fig. 17, the apparatus includes:
an acquisition module 1701 for acquiring transportation state data of the transported nuclear fuel assembly respectively transmitted by the plurality of control apparatuses;
a first determining module 1702, configured to determine an alarm condition according to the transportation state data, and send the alarm condition to each control device; the alarm condition comprises that the transport means enters an early warning area, and the transport state data exceeds at least one of preset safety ranges.
In one embodiment, the first determining module 1702 is specifically configured to screen the transportation status data for abnormalities from the plurality of transportation status data; and determining an early warning area according to the geographical position corresponding to the abnormal transportation state data.
The embodiment of the application also provides another fuel assembly transportation alarm device, which comprises the following modules in addition to the modules shown in the figure:
the second determining module is used for determining the safety parameters of the containers corresponding to the control equipment according to the transportation state data sent by the control equipment; the container is used for placing nuclear fuel assemblies;
and the sending module is used for sending the safety parameters of the containers to the corresponding control equipment so as to carry out safety detection on the control equipment before the nuclear fuel assembly is transported.
In an embodiment of the application, the transportation state data comprises acceleration data, and the safety parameter comprises vibration isolation efficiency; the second determining module is specifically used for determining the vibration transmissibility of the container in each direction within a preset time period according to the acceleration data for each control device; the vibration transmissibility of the container is used for representing the vibration reduction effect of the container; the largest container vibration transmissibility among the plurality of container vibration transmissibility is determined as the vibration isolation efficiency.
In the embodiment of the application, the safety parameter comprises system rigidity; and the second determining module is specifically used for determining the system stiffness according to the frequency corresponding to the vibration isolation efficiency.
In an embodiment of the application, the transportation state data comprises acceleration data, and the safety parameter comprises a fatigue usage factor; the second determining module is specifically used for dividing the acceleration data into a plurality of subdata; calculating fatigue times corresponding to the subdata by using a rain flow counting method; and determining a fatigue use factor according to the fatigue times corresponding to the plurality of subdata.
The fuel assembly transportation alarm device provided by the embodiment of the application can realize the embodiment of the fuel assembly transportation alarm method applied to the server, the realization principle and the technical effect are similar, and the repeated description is omitted.
The various modules in the fuel assembly transportation warning device described above may be implemented in whole or in part by software, hardware, and combinations thereof. 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.
Based on the same inventive concept, the embodiment of the application also provides a fuel assembly transportation alarm system for realizing the fuel assembly transportation alarm method. The solution to the problem provided by the fuel assembly transportation warning system is similar to the solution described in the above method, and as shown in fig. 1, the fuel assembly transportation warning system includes a control device 20 and a server 70.
Wherein the control device 20 acquires transportation state data of the target transportation vehicle transporting the nuclear fuel assembly; if the transportation state data are determined to meet the preset alarm conditions, carrying out alarm processing; the alarm condition comprises that the target transport means enters an early warning area, and the transport state data exceeds at least one of preset safety ranges; the early warning area is determined by the server according to the transportation state data in the historical time period.
Optionally, the transportation state data includes a geographical position of the target transportation means, and if the geographical position of the target transportation means is detected to be located in the early warning area, the control device 20 determines that the transportation state data meets the early warning condition.
Optionally, the control device 20 determines that the transportation state data meets a preset early warning condition, including: comparing the transportation state data with a preset safety range; and if the transportation state data are detected to exceed the preset safety range, determining that the transportation state data meet the early warning condition.
Optionally, the transportation state data includes distance data between two preset positions in the target transportation tool, the preset safety range includes a preset distance range, and if the control device 20 detects that the distance data exceeds the preset distance range, it is determined that the transportation state data meets the early warning condition.
Optionally, before the target transportation vehicle transports the nuclear fuel assembly, the control device 20 performs safety detection according to the safety parameters of the target container; the target container is used for placing nuclear fuel assemblies, and the safety parameters are determined by the server according to the transportation state data in the historical time period; and if the safety detection fails, outputting prompt information for overhauling the target container.
Optionally, the safety parameter includes at least one of vibration isolation efficiency, system stiffness and fatigue usage factor; the vibration isolation efficiency is used for indicating the vibration damping efficiency of the target container; system stiffness is used to indicate the ability of the target container to resist deformation; the fatigue usage factor is used to indicate a fatigue state of the target vessel.
The server 70 is configured to perform the following fuel assembly transportation warning method.
Wherein the server 70 acquires transportation state data of the transported nuclear fuel assembly, which is respectively transmitted by the plurality of control devices; determining an alarm condition according to the plurality of transport state data, and sending the alarm condition to each control device; the alarm condition comprises that the transport means enters an early warning area, and the transport state data exceeds at least one of preset safety ranges.
Optionally, the server 70 determines an alarm condition according to a plurality of transportation status data, including: screening abnormal transportation state data from the plurality of transportation state data; and determining an early warning area according to the geographical position corresponding to the abnormal transportation state data.
Optionally, the server 70 determines the safety parameters of the container corresponding to each control device according to the transportation state data sent by each control device; the container is used for placing nuclear fuel assemblies; and sending the safety parameters of each container to corresponding control equipment so that each control equipment can carry out safety detection before the nuclear fuel assembly is transported.
Optionally, the transportation state data includes acceleration data, and the safety parameter includes vibration isolation efficiency; the server 70 determines the safety parameters of the container corresponding to each control device according to the transportation state data sent by each control device, including: for each control device, determining the vibration transfer rate of the container in each direction within a preset time period according to the acceleration data; the vibration transmissibility of the container is used for representing the vibration reduction effect of the container; the largest container vibration transmissibility among the plurality of container vibration transmissibility is determined as the vibration isolation efficiency.
Optionally, the safety parameter includes system stiffness; the server 70 determines the safety parameters of the container corresponding to each control device according to the transportation state data sent by each control device, including: and determining the system stiffness according to the frequency corresponding to the vibration isolation efficiency.
Optionally, the transportation state data includes acceleration data, and the safety parameter includes a fatigue usage factor; the server 70 determines the safety parameters of the container corresponding to each control device according to the transportation state data sent by each control device, including: dividing the acceleration data into a plurality of subdata; calculating fatigue times corresponding to the subdata by using a rain flow counting method; and determining a fatigue use factor according to the fatigue times corresponding to the plurality of subdata.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 18. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a fuel assembly transportation warning method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 18 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program implementing the fuel assembly transportation warning method provided in the above method embodiments.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when being executed by a processor, carries out the fuel assembly transportation warning method provided in the above-mentioned method embodiment.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, implements the fuel assembly transportation warning method provided in the above-described method embodiments.
It should be noted that, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
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, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include a Read-Only Memory (ROM), a magnetic tape, a floppy disk, a flash Memory, an optical Memory, a high-density embedded nonvolatile Memory, a resistive Random Access Memory (ReRAM), a Magnetic Random Access Memory (MRAM), a Ferroelectric Random Access Memory (FRAM), a Phase Change Memory (PCM), a graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. 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), for example. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
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 present application. 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 application shall be subject to the appended claims.

Claims (18)

1. A fuel assembly transportation warning method, applied to a control device, the method comprising:
acquiring transportation state data of a nuclear fuel assembly transported by a target transport vehicle;
if the transportation state data are determined to meet the preset alarm conditions, carrying out alarm processing;
wherein the alarm condition comprises that the target transport means enters an early warning area, and the transport state data exceeds at least one of preset safety ranges; the early warning area is determined by the server according to the transportation state data in the historical time period.
2. The method of claim 1, wherein the transportation status data comprises a geographic location of the target vehicle, and wherein the determining that the transportation status data meets a predetermined pre-warning condition comprises:
and if the geographical position of the target transport means is detected to be located in the early warning area, determining that the transport state data meets the early warning condition.
3. The method of claim 1, wherein the determining that the transportation status data meets a predetermined pre-warning condition comprises:
comparing the transportation state data with the preset safety range;
and if the transportation state data is detected to exceed the preset safety range, determining that the transportation state data meets the early warning condition.
4. The method of claim 3, wherein the transportation status data comprises distance data between two preset locations in the target vehicle, the preset safety range comprises a preset distance range, and the detecting that the transportation status data is outside the preset safety range comprises:
and if the distance data exceeds the preset distance range, determining that the transportation state data meets the early warning condition.
5. The method according to any one of claims 1-4, further comprising:
performing safety detection according to safety parameters of a target container before the target transportation vehicle transports the nuclear fuel assembly; the target container is used for placing the nuclear fuel assembly, and the safety parameter is determined by the server according to the transportation state data of the historical time period;
and if the safety detection fails, outputting prompt information for overhauling the target container.
6. The method of claim 5, wherein the safety parameter comprises at least one of vibration isolation efficiency, system stiffness, and fatigue usage factor; the vibration isolation efficiency is used for indicating the vibration damping efficiency of the target container; the system stiffness is indicative of the target container's ability to resist deformation; the fatigue usage factor is indicative of a fatigue state of the target vessel.
7. A fuel assembly transportation warning method, applied to a server, the method comprising:
acquiring transportation state data of the transported nuclear fuel assembly respectively sent by a plurality of control devices;
determining an alarm condition according to the plurality of transportation state data, and sending the alarm condition to each control device;
wherein the alarm condition comprises that the transport means enters an early warning area, and the transport state data exceeds at least one of preset safety ranges.
8. The method of claim 7, wherein determining an alarm condition based on the plurality of transport state data comprises:
screening abnormal transportation state data from the plurality of transportation state data;
and determining the early warning area according to the geographical position corresponding to the abnormal transportation state data.
9. The method of claim 7, further comprising:
according to the transportation state data sent by each control device, determining safety parameters of a container corresponding to each control device; the container is used for placing the nuclear fuel assembly;
and sending the safety parameters of each container to corresponding control equipment so that each control equipment can carry out safety detection before the nuclear fuel assembly is transported.
10. The method of claim 9, wherein the transportation state data comprises acceleration data, the safety parameter comprises vibration isolation efficiency; the determining, according to the transportation state data sent by each of the control devices, a safety parameter of a container corresponding to each of the control devices includes:
for each control device, determining the vibration transfer rate of the container in each direction within a preset time period according to the acceleration data; the vibration transmissibility of the container is used for representing the vibration reduction effect of the container;
determining a largest container vibration transmissivity among the plurality of container vibration transmissivities as the vibration isolation efficiency.
11. The method of claim 10, wherein the safety parameter comprises a system stiffness; the determining, according to the transportation state data sent by each of the control devices, a safety parameter of a container corresponding to each of the control devices includes:
and determining the system stiffness according to the frequency corresponding to the vibration isolation efficiency.
12. The method of claim 9, wherein the transportation state data comprises acceleration data, the safety parameter comprises a fatigue usage factor; the determining, according to the transportation state data sent by each of the control devices, the safety parameters of the container corresponding to each of the control devices includes:
dividing the acceleration data into a plurality of subdata;
calculating fatigue times corresponding to the subdata by using a rain flow counting method;
and determining the fatigue use factor according to the fatigue times corresponding to the plurality of subdata.
13. A fuel assembly transportation warning device, for use with a control apparatus, the device comprising:
the acquisition module is used for acquiring transportation state data of the nuclear fuel assembly transported by the target transport vehicle;
the alarm module is used for carrying out alarm processing if the transportation state data are determined to meet the preset alarm conditions;
wherein the alarm condition comprises that the target transport means enters an early warning area, and the transport state data exceeds at least one of preset safety ranges; the early warning area is determined by the server according to the transportation state data in the historical time period.
14. A fuel assembly transportation warning device, applied to a server, the device comprising:
the acquisition module is used for acquiring transportation state data of the transportation nuclear fuel assembly, which are respectively sent by the plurality of control devices;
the determining module is used for determining an alarm condition according to the plurality of transportation state data and sending the alarm condition to each control device;
wherein the alarm condition comprises that the transport means enters an early warning area, and the transport state data exceeds at least one of preset safety ranges.
15. A fuel assembly transportation alarm system comprises a control device and a server;
the control device for performing the method of claims 1-6;
the server for performing the method of claims 7-12.
16. 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 6 or 7 to 12.
17. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6 or 7 to 12.
18. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6 or 7 to 12.
CN202210360587.1A 2022-04-07 2022-04-07 Fuel assembly transportation alarm method, device, system, equipment and storage medium Pending CN114821982A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210360587.1A CN114821982A (en) 2022-04-07 2022-04-07 Fuel assembly transportation alarm method, device, system, equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210360587.1A CN114821982A (en) 2022-04-07 2022-04-07 Fuel assembly transportation alarm method, device, system, equipment and storage medium

Publications (1)

Publication Number Publication Date
CN114821982A true CN114821982A (en) 2022-07-29

Family

ID=82535506

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210360587.1A Pending CN114821982A (en) 2022-04-07 2022-04-07 Fuel assembly transportation alarm method, device, system, equipment and storage medium

Country Status (1)

Country Link
CN (1) CN114821982A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116882734A (en) * 2023-06-12 2023-10-13 上海朗晖慧科技术有限公司 Supply chain data supervision system and method based on big data
CN116882734B (en) * 2023-06-12 2024-04-26 上海朗晖慧科技术有限公司 Supply chain data supervision system and method based on big data

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN203870667U (en) * 2014-03-26 2014-10-08 林至刚 Safety monitoring system, safety intelligent device, safety intelligent box and box body
CN108417091A (en) * 2018-05-10 2018-08-17 武汉理工大学 Driving risk section identification based on net connection vehicle and early warning system and method
CN108427360A (en) * 2018-03-30 2018-08-21 中广核工程有限公司 One kind transporting management method, system and storage medium safely
CN109671262A (en) * 2019-01-16 2019-04-23 广州思创科技发展有限公司 Based on accident black-spot to drivers ' behavior pre-warning system and method
CN110397701A (en) * 2019-06-17 2019-11-01 华为技术有限公司 A kind of isolation mounting, vibrating isolation system and the vehicles
CN110675624A (en) * 2019-09-19 2020-01-10 长安大学 Driving risk control method for high-risk road section
CN110745704A (en) * 2019-12-20 2020-02-04 广东博智林机器人有限公司 Tower crane early warning method and device
CN112498359A (en) * 2019-08-26 2021-03-16 通用汽车环球科技运作有限责任公司 Method and apparatus for providing alert notifications for high risk driving areas in networked vehicles
CN112906163A (en) * 2021-03-23 2021-06-04 株洲中车时代电气股份有限公司 Model selection method and model selection device of shock absorber
CN114118904A (en) * 2021-11-03 2022-03-01 北京三快在线科技有限公司 Unmanned vehicle distribution method and device

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN203870667U (en) * 2014-03-26 2014-10-08 林至刚 Safety monitoring system, safety intelligent device, safety intelligent box and box body
CN108427360A (en) * 2018-03-30 2018-08-21 中广核工程有限公司 One kind transporting management method, system and storage medium safely
CN108417091A (en) * 2018-05-10 2018-08-17 武汉理工大学 Driving risk section identification based on net connection vehicle and early warning system and method
CN109671262A (en) * 2019-01-16 2019-04-23 广州思创科技发展有限公司 Based on accident black-spot to drivers ' behavior pre-warning system and method
CN110397701A (en) * 2019-06-17 2019-11-01 华为技术有限公司 A kind of isolation mounting, vibrating isolation system and the vehicles
CN112498359A (en) * 2019-08-26 2021-03-16 通用汽车环球科技运作有限责任公司 Method and apparatus for providing alert notifications for high risk driving areas in networked vehicles
CN110675624A (en) * 2019-09-19 2020-01-10 长安大学 Driving risk control method for high-risk road section
CN110745704A (en) * 2019-12-20 2020-02-04 广东博智林机器人有限公司 Tower crane early warning method and device
CN112906163A (en) * 2021-03-23 2021-06-04 株洲中车时代电气股份有限公司 Model selection method and model selection device of shock absorber
CN114118904A (en) * 2021-11-03 2022-03-01 北京三快在线科技有限公司 Unmanned vehicle distribution method and device

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
何若益;蒲小兵;陈志强;宫智;杨科;: "CNFC-3G型核燃料容器在运输中的振动数据分析与研究", 物流技术, no. 07, pages 283 - 285 *
李世尧;张卫国;侯军占;段文博;迟圣威;郭冰涛;: "减振器动刚度特性研究", 兵工学报, no. 11, pages 2274 - 2279 *
程贤福;李晶;程安辉;: "某轻型货车燃油箱振动疲劳分析", 噪声与振动控制, no. 01, pages 93 - 98 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116882734A (en) * 2023-06-12 2023-10-13 上海朗晖慧科技术有限公司 Supply chain data supervision system and method based on big data
CN116882734B (en) * 2023-06-12 2024-04-26 上海朗晖慧科技术有限公司 Supply chain data supervision system and method based on big data

Similar Documents

Publication Publication Date Title
CN101716945B (en) Railway locomotive axle infrared thermal image monitoring method and system
US20190392376A1 (en) System for Monitoring Status of Goods in Logistics Process and Using Method Thereof
CN104866982B (en) A kind of system and method for internet+danger wastes management
CN108369645A (en) Taxi operation monitoring method, device, storage medium and system
CN102621966B (en) Dangerous chemical storage and transportation danger early warning and assessment device and pre-warning system
US10836250B2 (en) System for securing fuel in vehicles using IoT devices
CN108474866A (en) A kind of manhole cover loss detecting system and method based on deep learning
CN109724812B (en) Vehicle fault early warning method and device, storage medium and terminal equipment
CN102956107A (en) Parking lot vehicle parking information acquisition and false license, slip license and illegal vehicle recognition system and method
CN114881808B (en) Big data-based accurate identification method for electric power larceny and electric power larceny prevention system
CN108253303A (en) A kind of monitoring of natural gas line and method for early warning and system
CN104408578A (en) Track-point-based quantitative assessment system and method for mechanical operation
EP3123298A1 (en) Global management for oil gas assets
CN108427360A (en) One kind transporting management method, system and storage medium safely
CN105590288A (en) Public bike fault bike determination system and method
CN112033510A (en) Data authenticity monitoring platform based on garbage storage and transportation process
CN114397579A (en) Battery data processing method, device, equipment, medium and program product
CN202522901U (en) Electric power metering equipment distribution and monitoring device and metering equipment distribution vehicle
CN113112216A (en) Prejudgment analysis method for equipment defects
CN114821982A (en) Fuel assembly transportation alarm method, device, system, equipment and storage medium
CN201429440Y (en) Vehicle-mounted bulk cargo monitoring device
CN116843314A (en) Monitoring terminal operation and maintenance management method, system, equipment and storage medium
CN103150873A (en) Online monitoring system for vehicle-mounted radioactive source
CN110113429A (en) A kind of engineering vehicle equipment maintenance system based on internet of things sensors
CN115808622A (en) Battery fault identification method, device, equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right

Effective date of registration: 20230815

Address after: 15th Floor, Shenzhen Science and Technology Building, No. 1001 Shangbu Middle Road, Futian District, Shenzhen City, Guangdong Province, 518048 (1502-1504, 1506)

Applicant after: CHINA NUCLEAR POWER TECHNOLOGY RESEARCH INSTITUTE Co.,Ltd.

Applicant after: LING'AO NUCLEAR POWER Co.,Ltd.

Applicant after: CHINA GENERAL NUCLEAR POWER Corp.

Applicant after: CGN POWER Co.,Ltd.

Address before: 518048 Shenzhen Science and technology building, 1001 Shangbu Middle Road, Futian District, Shenzhen, Guangdong

Applicant before: CHINA NUCLEAR POWER TECHNOLOGY RESEARCH INSTITUTE Co.,Ltd.

Applicant before: CHINA GENERAL NUCLEAR POWER Corp.

Applicant before: CGN POWER Co.,Ltd.

TA01 Transfer of patent application right