WO2024093971A1

WO2024093971A1 - Method and system for determining vehicle-mounted superconducting magnet monitoring system, and storage medium

Info

Publication number: WO2024093971A1
Application number: PCT/CN2023/128186
Authority: WO
Inventors: 沙淼; 高春尧; 李凯; 胡浩
Original assignee: 中车长春轨道客车股份有限公司
Priority date: 2022-11-04
Filing date: 2023-10-31
Publication date: 2024-05-10
Also published as: CN115655757A

Abstract

Disclosed is a method for determining a vehicle-mounted superconducting magnet monitoring system. The method comprises: obtaining an identifier of a vehicle-mounted superconducting magnet and a plurality of pieces of sampling parameter information (S101); acquiring an initial monitoring system corresponding to the identifier of the vehicle-mounted superconducting magnet (S102); performing model selection on each sensor and a monitoring module in the monitoring system on the basis of the sampling parameter information and magnet structure information, so as to respectively obtain an identifier of each sensor and an identifier of the monitoring module (S103); on the basis of a preset mapping relationship, respectively adding the identifiers of the sensors and the identifier of the monitoring module to respective corresponding target positions in the initial monitoring system, and performing parameter correction on the initial monitoring system on the basis of the identifiers of the sensors and the identifier of the monitoring module (S104); and determining the initial monitoring system, which has been subjected to parameter correction, to be a vehicle-mounted superconducting magnet monitoring system that matches the identifier of the vehicle-mounted superconducting magnet (S105). Also disclosed are a system for determining a vehicle-mounted superconducting magnet monitoring system, and a storage medium, which improve the design efficiency of the vehicle-mounted superconducting magnet monitoring system.

Description

A determination method, system and storage medium for a vehicle-mounted superconducting magnet monitoring system

This application claims priority to a Chinese patent application filed with the Chinese Patent Office on November 4, 2022, with application number 202211376192.7 and invention name “A method, system and storage medium for determining a vehicle-mounted superconducting magnet monitoring system”, the entire contents of which are incorporated by reference in this application.

Technical Field

The present application relates to the technical field of vehicle-mounted equipment design, and in particular to a determination method, system and storage medium of a vehicle-mounted superconducting magnet monitoring system.

Background technique

Maglev trains are vehicles that use the interaction between onboard superconducting magnets and track suspension coils to achieve suspension operation. The operating stability of onboard superconducting magnets is an important factor affecting the stable operation of maglev trains. Therefore, it is necessary to use a magnet monitoring system to monitor the operating parameters of onboard superconducting magnets.

However, the speed change and turning of the maglev train during operation will cause changes in the temperature, magnetic field strength, shape and other parameters of the superconducting magnet. This makes the design method of the static superconducting magnet monitoring system not suitable for the magnet data acquisition system of the on-board superconducting magnet. In addition, the parameter changes of different types of maglev trains are different, and the magnet monitoring system can only be designed manually for different models, resulting in reduced design efficiency.

Summary of the invention

The purpose of the embodiments of the present application is to provide a method, system and storage medium for determining a vehicle-mounted superconducting magnet monitoring system, so as to improve the design efficiency of the vehicle-mounted superconducting magnet monitoring system. The specific technical solution is as follows:

A method for determining a vehicle-mounted superconducting magnet monitoring system, the method comprising:

Obtaining an identification of a vehicle-mounted superconducting magnet and a plurality of sampling parameter information, wherein the sampling parameter information includes: a parameter type identification and a plurality of other sampling parameters;

Acquire an initial monitoring system corresponding to the identification of the on-board superconducting magnet, wherein the initial monitoring system includes the installation position and installation method of each component in the monitoring system, the wiring position between each of the installation positions, and supporting component parameters;

Based on the sampling parameter information and the magnet structure information, each sensor and monitoring module in the monitoring system is selected, and the identification of each sensor and the monitoring module is obtained respectively, wherein the magnet structure information has a corresponding relationship with the identification of the vehicle-mounted superconducting magnet;

Based on a preset mapping relationship, the identifiers of the sensors and the identifiers of the monitoring modules are added to the corresponding target positions in the initial monitoring system, and based on the identifiers of the sensors and the identifiers of the monitoring modules, the parameters of the initial monitoring system are corrected;

The initial monitoring system that has undergone parameter correction is determined as a vehicle-mounted superconducting magnet monitoring system that matches the identification of the vehicle-mounted superconducting magnet.

Optionally, selecting each sensor and monitoring module in the monitoring system based on each sampling parameter information and magnet structure information, and obtaining the identification of each sensor and monitoring module respectively, includes:

For each sampling parameter information: determining a plurality of candidate sensors corresponding to the parameter type identifier in the sampling parameter information, and screening each of the candidate sensors based on the comprehensive matching degree of each of the other sampling parameters and the design parameter group of the candidate sensor to obtain one of the sensors and its identifier;

According to the identification of each sensor, the output data type of each sensor is obtained, and based on the output data type and the magnet structure information, each candidate monitoring module is screened to obtain a monitoring module and its identification.

Optionally, the screening of each candidate sensor based on the comprehensive matching degree of each other sampling parameter with the design parameter group of the candidate sensor to obtain a sensor and its identifier includes:

For each of the alternative sensors: determine whether the value of the sampling sensitivity parameter is within the sampling sensitivity range of the alternative sensor, and if so, output a forward matching mark, wherein the sampling sensitivity parameter is one of the other sampling parameters, and the sampling sensitivity range is a parameter in the design parameter group; determine whether the signal frequency is within the frequency response range of the alternative sensor, and if so, output a forward matching mark, wherein the signal frequency is one of the other sampling parameters, and the frequency response range is a parameter in the design parameter group; determine whether the operation stability mark is consistent with the operation condition mark of the alternative sensor, and if so, output a forward matching mark, wherein the operation stability mark is one of the other sampling parameters, and the operation condition The identifier is a parameter in the design parameter group; determining whether the installation method identifier is consistent with the assembly identifier of the candidate sensor, and if so, outputting a forward matching identifier, wherein the installation method identifier is a parameter in the other sampling parameters, and the assembly identifier is a parameter in the design parameter group; determining the total number of the forward matching identifiers as the comprehensive matching degree of the candidate sensor;

The candidate sensor with the greatest comprehensive matching degree among the candidate sensors is determined as the sensor, and an identifier of the sensor is obtained.

Optionally, the screening of the candidate monitoring modules based on the output data types and the magnet structure information to obtain a monitoring module and its identifier includes:

For each optional monitoring module:

According to each of the output data types, respectively obtain the transmission rate corresponding to each of the output data types; determine whether the sampling data type group of the candidate monitoring module includes each of the output data types, and if so, determine whether the sampling efficiency of the candidate monitoring module is not less than the sum of the transmission rates;

In the case where the sampling efficiency is not less than the sum of the transmission rates, determining whether the number of channels of the candidate monitoring module is not less than the total number of the output data types;

When the number of channels is not less than the total number of the output data types, determine whether each type of operating condition interval in the operating condition parameter group of the alternative monitoring module is located within the corresponding internal magnet environment parameter interval; if so, determine the alternative monitoring module as the monitoring module, and obtain the identification of the monitoring module, wherein the internal magnet environment parameter interval is a parameter in the magnet structure information, and the internal magnet environment parameter interval has a corresponding relationship with the operating condition interval.

Optionally, the performing parameter correction on the initial monitoring system based on the identifier of each of the sensors and the identifier of the monitoring module includes:

For the identification of each sensor: according to the sensor identification, determine the identification of each component that is connected to the sensor; respectively obtain the component installation parameters corresponding to each component identification in the initial monitoring system, and obtain the sensor installation parameters corresponding to the sensor identification in the initial monitoring system; display the installation parameters of each component and the sensor through a preset human-computer interaction interface, and obtain the installation parameter correction results of the user for the installation parameters of each component and the sensor;

According to the identification of the monitoring module, the identification of each auxiliary module that has data interaction with the monitoring module is determined from the initial monitoring system, and the configuration parameters of each auxiliary module are obtained according to the identification of each auxiliary module; the configuration parameters of the monitoring module and the configuration parameters of each auxiliary module are displayed through the preset human-computer interaction interface, and the configuration parameter modification result of the user on the configuration parameters of each auxiliary module is obtained;

The parameters of the initial monitoring system are corrected according to the installation parameter correction result and the configuration parameter correction result.

Optionally, before the step of determining the initial monitoring system after the parameter correction as the on-board superconducting magnet monitoring system that matches the identification of the on-board superconducting magnet, the method further includes:

According to the output data type of each of the sensors, a target monitoring program package is extracted from a preset database and loaded into the processor of the monitoring module, wherein the target monitoring program package is a preset program package for parsing each of the output data types and determining the magnet state based on each of the output data types.

A determination system for a vehicle-mounted superconducting magnet monitoring system, the system comprising:

A first data acquisition module is used to obtain an identification of the vehicle-mounted superconducting magnet and a plurality of sampling parameter information, wherein the sampling parameter information includes: a parameter type identification and a plurality of other sampling parameters;

A second data acquisition module is used to obtain an initial monitoring system corresponding to the identification of the vehicle-mounted superconducting magnet, wherein the initial monitoring system includes the installation position and installation method of each component in the monitoring system, the wiring position between each of the installation positions, and the parameters of the supporting components;

An equipment selection module, used for selecting each sensor and monitoring module in the monitoring system based on each sampling parameter information and magnet structure information, and obtaining the identification of each sensor and monitoring module respectively, wherein the magnet structure information has a corresponding relationship with the identification of the vehicle-mounted superconducting magnet;

A data filling module, used to add the identifiers of each of the sensors and the identifiers of the monitoring modules to their respective corresponding target positions in the initial monitoring system based on a preset mapping relationship, and to perform parameter correction on the initial monitoring system based on the identifiers of each of the sensors and the identifiers of the monitoring modules;

A system determination module is used to determine the initial monitoring system after the parameter correction as An on-board superconducting magnet monitoring system that matches the identification of the on-board superconducting magnet.

Optionally, the device selection module is configured to:

Optionally, the device selection module is configured to be:

For each of the candidate sensors: determine whether the value of the sampling sensitivity parameter is within the sampling sensitivity interval of the candidate sensor, and if so, output a forward matching flag, wherein the sampling sensitivity parameter is one of the other sampling parameters, and the sampling sensitivity interval is one of the design parameter group; determine whether the signal frequency is within the frequency response interval of the candidate sensor, and if so, output a forward matching flag, wherein the signal frequency is one of the other sampling parameters, and the frequency response interval is one of the design parameter group; determine whether the operation stability flag is consistent with the operation condition flag of the candidate sensor, and if so, output a forward matching flag, wherein the operation stability flag is one of the other sampling parameters, and the operation condition flag is one of the design parameter group; determine whether the installation method identifier is consistent with the assembly identifier of the candidate sensor, and if so, output a forward matching flag, wherein the installation method identifier is one of the other sampling parameters, and the assembly identifier is one of the design parameter group; determine the total number of the forward matching identifiers as the comprehensive matching degree of the candidate sensor;

Optionally, the equipment selection module is configured to:

For each optional monitoring module:

Optionally, when the data filling module performs parameter correction on the initial monitoring system based on the identifiers of the sensors and the identifiers of the monitoring modules, the data filling module is configured to:

Optionally, the system further includes:

A program loading module is used to extract a target monitoring program package from a preset database according to the output data type of each sensor before determining the initial monitoring system that has undergone the parameter correction as an on-board superconducting magnet monitoring system that matches the identification of the on-board superconducting magnet, and load the target monitoring program package into the processor of the monitoring module, wherein the target monitoring program package is a preset program package for parsing each of the output data types and determining the magnet state based on each of the output data types.

A determination system for a vehicle-mounted superconducting magnet monitoring system, the determination system comprising:

processor;

a memory for storing instructions executable by the processor;

Wherein, the processor is configured to execute the instructions to implement any one of the above-mentioned determination methods for the vehicle-mounted superconducting magnet monitoring system.

A computer-readable storage medium, when instructions in the computer-readable storage medium are executed by a processor of a determination system of a vehicle-mounted superconducting magnet monitoring system, enables the determination system to execute any of the above-mentioned determination methods of the vehicle-mounted superconducting magnet monitoring system.

The determination method, system and storage medium of the on-board superconducting magnet monitoring system provided in the embodiment of the present application can achieve the determination of the basic design parameters of the on-board superconducting magnet monitoring system by obtaining the sampling parameter information. And by obtaining the initial monitoring system, compared with the prior art, the present application does not need to be repeated by the R&D personnel for a large number of theoretical verifications and parameter designs, but directly obtains the editable monitoring system design drawing, and adds and corrects the parameters therein through subsequent steps to obtain the design drawing of the on-board superconducting magnet monitoring system. At the same time, based on the sampling parameter information and the magnet structure information, the sensors and monitoring modules in the monitoring system are selected, and the steps in the prior art that require designers to refer to a large number of test parameters for component selection are omitted. Finally, the relevant component parameters are obtained based on the identification of each sensor and the identification of the monitoring module, and the initial monitoring system is parameter-corrected based on the relevant component parameters, thereby improving the design accuracy and efficiency of the final determination of the on-board superconducting magnet monitoring system. It can be seen that the present application improves the design efficiency of the on-board superconducting magnet monitoring system.

Of course, implementing any product or method of the present application does not necessarily require achieving all of the advantages described above at the same time.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

FIG1 is a flow chart of a method for determining a vehicle-mounted superconducting magnet monitoring system provided by an embodiment of the present application;

FIG2 is a block diagram of a determination system of a vehicle-mounted superconducting magnet monitoring system provided by an optional embodiment of the present application;

FIG3 is a block diagram of a determination system of a vehicle-mounted superconducting magnet monitoring system provided by another optional embodiment of the present application.

Detailed ways

The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

The embodiment of the present application provides a method for determining a vehicle-mounted superconducting magnet monitoring system, as shown in FIG1 , the method comprising:

S101. Obtain an identifier of a vehicle-mounted superconducting magnet and multiple sampling parameter information, where the sampling parameter information includes: a parameter type identifier and multiple other sampling parameters.

It should be noted that, in actual application scenarios, the identification of the above-mentioned vehicle-mounted superconducting magnet may be an identification assigned after the above-mentioned vehicle-mounted superconducting magnet has undergone structural design and finalization, and is used to distinguish different models of vehicle-mounted superconducting magnets.

Optionally, in an optional embodiment of the present application, the above-mentioned sampling parameter information may be parameter information that needs to be monitored during the operation of the vehicle-mounted superconducting magnet. The above-mentioned sampling parameter information may be determined based on the finalization test data of the vehicle-mounted superconducting magnet. Specifically: during the finalization test, the variable parameters and related information of the vehicle-mounted superconducting magnet whose values change due to the change of the operating state are determined as the above-mentioned sampling parameter information.

Optionally, in another optional embodiment of the present application, the parameter type identifier may be used for Identification of different types of sampling parameters. It should be noted that there may be many types of the above sampling parameters, including but not limited to: structural stress, temperature, vacuum degree, magnetic field strength, etc.

It should be noted that, in actual application scenarios, the above other sampling parameters are parameters used to characterize the associated information of the sampling parameters of this type, such as the value variation range, value sensitivity level, signal frequency, etc. of the sampling parameters of this type. There is a corresponding relationship between the above parameter type identifier and multiple other sampling parameters.

The present application achieves the determination of basic design parameters of the vehicle-mounted superconducting magnet monitoring system by obtaining the above-mentioned sampling parameter information.

S102, obtaining an initial monitoring system corresponding to the identification of the vehicle-mounted superconducting magnet, wherein the initial monitoring system includes installation positions, installation methods, wiring positions between installation positions, and supporting component parameters of each component in the monitoring system.

Optionally, in an optional embodiment of the present application, the above-mentioned initial monitoring system can be an editable structural diagram of the vehicle-mounted superconducting magnet. The construction method of the above-mentioned initial monitoring system can be: based on the finalization test data of the vehicle-mounted superconducting magnet, determine the generation position of each variable parameter in the vehicle-mounted superconducting magnet, and determine the variable parameter type corresponding to each generation position. At the same time, according to the structural characteristics, material characteristics, and environmental characteristics of the generation position of the variable parameter, determine the installation process data, supporting component parameters, and routing paths between the components of the sensor arranged at the position. Finally, according to the variable parameter type, determine the type of sensor that needs to be arranged at the generation position of each variable parameter, and establish a mapping relationship between the generation position of each variable parameter, sensor type, routing path, supporting component parameters, and installation process data. Thereby, an initial monitoring system including the installation position of each component, the installation method, the routing position between each installation position, and the supporting component parameters is obtained.

By obtaining the above-mentioned initial monitoring system, the present application, compared with the prior art, does not require R&D personnel to repeat a large amount of theoretical verification and parameter design. Instead, the present application directly obtains an editable design drawing including the installation position, installation method, wiring position between each installation position and supporting component parameters of each component in the monitoring system, and adds and corrects the parameters through subsequent steps to obtain the design drawing of the vehicle-mounted superconducting magnet monitoring system, thereby improving design efficiency.

S103. Based on the sampling parameter information and the magnet structure information, select the sensors and monitoring modules in the monitoring system, and obtain the identification of each sensor and monitoring module respectively, wherein the magnet structure information has a corresponding relationship with the identification of the vehicle-mounted superconducting magnet.

Optionally, in an optional embodiment of the present application, the magnet structure information may be information characterizing the internal environmental parameters of the vehicle-mounted superconducting magnet, such as the temperature, magnetic field strength, interference degree, etc. of each region inside the vehicle-mounted superconducting magnet.

Optionally, in another optional embodiment of the present application, the above-mentioned monitoring module may be a functional module for collecting, summarizing and processing the data of each sensor. It should be noted that in actual application scenarios, the data collected by the above-mentioned sensors are different, and the output data are mostly analog signal data. However, the above-mentioned monitoring module needs to perform complex processing based on the sensor data, which requires the configuration of a digital signal processor that can load complex algorithms to achieve. Therefore, the above-mentioned detection module needs to be configured with an analog-to-digital (AD) circuit that converts analog signals into digital signals, and the analog signals output by the sensor have been converted into digital signals that can be recognized by the processor.

It should be noted that in actual application scenarios, since the number of the above sensors will vary with the structural differences of different types of vehicle-mounted superconductors, in order to improve design redundancy, the above digital signal processor can use a field programmable gate array (FPGA).

It should be noted that in actual application scenarios, the magnetic field inside the on-board superconducting magnet will interfere with the analog signal output by the sensor during operation. Therefore, in order to improve the data quality of the input processor and reduce interference, a filtering circuit can also be configured in the above monitoring module.

It should be noted that in actual application scenarios, the specific models and configuration information of the AD circuit, FPGA and filter circuit in the above-mentioned monitoring module can be set according to the specific model parameters of the vehicle-mounted superconducting magnet, and this application does not make too many restrictions or elaborate on this.

The present application selects each sensor and monitoring module in the monitoring system based on the sampling parameter information and the magnet structure information, thereby omitting the steps in the prior art that require designers to refer to a large number of test parameters for component selection, thereby improving design efficiency.

S104. Based on a preset mapping relationship, the identification of each sensor and the identification of the monitoring module are added to their corresponding target positions in the initial monitoring system, and based on the identification of each sensor and the identification of the monitoring module, the parameters of the initial monitoring system are corrected.

It should be noted that in actual application scenarios, since the installation parameters of each target position in the initial monitoring system are set based on experimental data, there is design redundancy in order to be compatible with the sizes of different types of monitoring system components. Therefore, this application obtains relevant component parameters based on the identification of each sensor and the identification of the monitoring module, and performs a preliminary monitoring of the initial monitoring system based on the relevant component parameters, such as component installation position, wiring, etc. The parameters such as position, cable model, etc. can be corrected to improve the final design accuracy of the on-board superconducting magnet monitoring system.

S105: Determine the initial monitoring system after parameter correction as the on-board superconducting magnet monitoring system that matches the identifier of the on-board superconducting magnet.

The present application achieves the determination of the basic design parameters of the on-board superconducting magnet monitoring system by obtaining sampling parameter information. And by obtaining the initial monitoring system, compared with the prior art, the present application does not need to be repeated by the R&D personnel for a large number of theoretical verifications and parameter designs, but directly obtains the editable monitoring system design drawing, and adds and corrects the parameters therein through subsequent steps to obtain the design drawing of the on-board superconducting magnet monitoring system. At the same time, based on the sampling parameter information and the magnet structure information, the sensors and monitoring modules in the monitoring system are selected, and the steps in the prior art that require designers to refer to a large number of test parameters for component selection are omitted. Finally, the relevant component parameters are obtained based on the identification of each sensor and the identification of the monitoring module, and the initial monitoring system is corrected based on the relevant component parameters, thereby improving the design accuracy and efficiency of the final determination of the on-board superconducting magnet monitoring system. It can be seen that the present application improves the design efficiency of the on-board superconducting magnet monitoring system.

Optionally, based on the sampling parameter information and the magnet structure information, each sensor and monitoring module in the monitoring system is selected, and the identification of each sensor and monitoring module is obtained respectively, including:

For each sampling parameter information: determining a plurality of candidate sensors having a corresponding relationship with the parameter type identifier in the sampling parameter information, and screening each candidate sensor based on the comprehensive matching degree of each other sampling parameter and the design parameter group of the candidate sensor to obtain a sensor and its identifier;

Optionally, in an optional embodiment of the present application, the alternative sensor having a corresponding relationship with the parameter type identifier may be a sensor whose data type collected by the sensor is consistent with the parameter type identifier. For example, if the parameter type identifier is an identifier representing a temperature parameter, the alternative sensor may be a temperature sensor of a different model. If the parameter type identifier is an identifier representing a magnetic field strength, the alternative sensor may be a Hall sensor of a different model.

Optionally, based on the comprehensive matching degree of each other sampling parameter with the design parameter group of the candidate sensor, each candidate sensor is screened to obtain a sensor and its identifier, including:

For each candidate sensor: determine whether the value of the sampling sensitivity parameter is within the sampling sensitivity interval of the candidate sensor, if so, output a forward matching identifier, wherein the sampling sensitivity parameter is one of the other sampling parameters, and the sampling sensitivity interval is one of the parameters in the design parameter group; determine whether the signal frequency is within the frequency response interval of the candidate sensor, if so, output a forward matching identifier, wherein the signal frequency is one of the other sampling parameters, and the frequency response interval is one of the parameters in the design parameter group; determine whether the operation stability identifier is consistent with the operation condition identifier of the candidate sensor, if so, output a forward matching identifier, wherein the operation stability identifier is one of the other sampling parameters, and the operation condition identifier is one of the parameters in the design parameter group; determine whether the installation method identifier is consistent with the assembly identifier of the candidate sensor, if so, output a forward matching identifier, wherein the installation method identifier is one of the other sampling parameters, and the assembly identifier is one of the parameters in the design parameter group; determine the total number of forward matching identifiers as the comprehensive matching degree of the candidate sensor;

A candidate sensor with the greatest comprehensive matching degree among the candidate sensors is determined as the sensor, and an identifier of the sensor is obtained.

Optionally, based on the output data types and the magnet structure information, each candidate monitoring module is screened to obtain a monitoring module and its identifier, including:

For each optional monitoring module:

According to each output data type, respectively obtain the transmission rate corresponding to each output data type; determine whether the sampling data type group of the candidate monitoring module includes each output data type, and if so, determine whether the sampling efficiency of the candidate monitoring module is not less than the sum of the transmission rates;

In the case where the sampling efficiency is not less than the sum of the transmission rates, determining whether the number of channels of the candidate monitoring module is not less than the total number of output data types;

When the number of channels is not less than the total number of output data types, determine whether each type of operating condition interval in the operating condition parameter group of the alternative monitoring module is located within the corresponding internal magnet environment parameter interval. If so, determine the alternative monitoring module as the monitoring module, and obtain the identification of the monitoring module, wherein the internal magnet environment parameter interval is a parameter in the magnet structure information, and the internal magnet environment parameter interval has a corresponding relationship with the operating condition interval.

Optionally, in an optional embodiment of the present application, the operating condition parameter group of the monitoring module can be a data group constructed based on the environmental parameters required for each component in the monitoring module to maintain stable operation. For example, the magnetic field strength range for normal operation, the temperature range for normal operation, the true range for normal operation Empty range, etc.

Optionally, based on the identification of each sensor and the identification of the monitoring module, the initial monitoring system is modified in parameters, including:

Identification of each sensor: according to the sensor identification, identification of each component connected to the sensor is determined; component installation parameters corresponding to each component identification in the initial monitoring system are obtained respectively, and sensor installation parameters corresponding to the sensor identification in the initial monitoring system are obtained; the installation parameters of each component and the sensor are displayed through a preset human-computer interaction interface, and the installation parameter correction results of the user on the installation parameters of each component and the sensor are obtained;

According to the identification of the monitoring module, the identification of each auxiliary module that has data interaction with the monitoring module is determined from the initial monitoring system, and the configuration parameters of each auxiliary module are obtained according to the identification of each auxiliary module; the configuration parameters of the monitoring module and the configuration parameters of each auxiliary module are displayed through a preset human-computer interaction interface, and the configuration parameter modification results of the user on the configuration parameters of each auxiliary module are obtained;

According to the installation parameter correction results and configuration parameter correction results, the parameters of the initial monitoring system are corrected.

Optionally, before the step of determining the initial monitoring system after parameter correction as the on-board superconducting magnet monitoring system that matches the identifier of the on-board superconducting magnet, the determination method shown in FIG1 further includes:

According to the output data type of each sensor, a target monitoring program package is extracted from a preset database and loaded into the processor of the monitoring module, wherein the target monitoring program package is a preset program package for parsing each output data type and determining the magnet state based on each output data type.

It should be noted that in actual application scenarios, in order to monitor and display the data of the on-board superconducting magnet and monitoring system, in addition to loading the target detection program package into the above processor, the communication protocol package and the interactive interface program can also be loaded so that the host computer can manage and display the data.

Corresponding to the above method embodiment, the present application also provides a determination system of a vehicle-mounted superconducting magnet monitoring system, as shown in FIG2 , the determination system includes:

The first data acquisition module 201 is used to obtain the identification of the vehicle-mounted superconducting magnet and multiple sampling parameter information, where the sampling parameter information includes: a parameter type identification and multiple other sampling parameters;

The second data acquisition module 202 is used to obtain an initial monitoring system corresponding to the identification of the vehicle-mounted superconducting magnet, wherein the initial monitoring system includes the installation position, installation method, wiring position between the installation positions and supporting component parameters of each component in the monitoring system;

The equipment selection module 203 is used to select each sensor and monitoring module in the monitoring system based on each sampling parameter information and magnet structure information, and obtain the identification of each sensor and monitoring module respectively, wherein the magnet structure information has a corresponding relationship with the identification of the vehicle-mounted superconducting magnet;

The data filling module 204 is used to add the identification of each sensor and the identification of the monitoring module to the corresponding target position in the initial monitoring system based on the preset mapping relationship, and to modify the parameters of the initial monitoring system based on the identification of each sensor and the identification of the monitoring module;

The system determination module 205 is used to determine the initial monitoring system after parameter correction as the on-board superconducting magnet monitoring system that matches the identification of the on-board superconducting magnet.

Optionally, the device selection module 203 is configured as follows:

Optionally, the device selection module 203 is set to:

For each alternative sensor: determine whether the value of the sampling sensitivity parameter is within the sampling sensitivity range of the alternative sensor. If so, output a forward match flag, wherein the sampling sensitivity parameter is one of the other sampling parameters, and the sampling sensitivity range is a parameter in the design parameter group; determine whether the signal frequency is within the frequency response range of the alternative sensor. If so, output a forward match flag, wherein the signal frequency is one of the other sampling parameters, and the frequency response range is a parameter in the design parameter group; determine whether the operation stability flag is consistent with the operation condition flag of the alternative sensor. If so, output a forward match flag, wherein the operation stability flag is one of the other sampling parameters, and the operation condition flag is a parameter in the design parameter group; determine the installation method identifier Whether it is consistent with the assembly identifier of the candidate sensor, if so, output a positive matching identifier, wherein the installation method identifier is one of the other sampling parameters, and the assembly identifier is one of the design parameter group; the total number of positive matching identifiers is determined as the comprehensive matching degree of the candidate sensor;

Optionally, the device selection module 203 is set to:

For each optional monitoring module:

Optionally, the data filling module 204 is configured to:

According to the identification of the monitoring module, the identification of each auxiliary module that has data interaction with the monitoring module is determined from the initial monitoring system, and the configuration parameters of each auxiliary module are obtained according to the identification of each auxiliary module; the configuration parameters of the monitoring module and the configuration parameters of each auxiliary module are displayed through a preset human-computer interaction interface. and obtain the configuration parameter modification result of the user on the configuration parameters of each auxiliary module;

Optionally, the determination system shown in FIG2 further includes:

A program loading module is used to extract a target monitoring program package from a preset database according to the output data type of each sensor before determining the initial monitoring system after parameter correction as the on-board superconducting magnet monitoring system that matches the identification of the on-board superconducting magnet, and load the target monitoring program package into the processor of the monitoring module, wherein the target monitoring program package is a preset program package for parsing each output data type and determining the magnet state based on each output data type.

The embodiment of the present application also provides a determination system of a vehicle-mounted superconducting magnet monitoring system, as shown in FIG3 , the determination system includes:

Processor 301;

A memory 302 for storing instructions executable by the processor 301;

The processor 301 is configured to execute instructions to implement any of the above-mentioned determination methods for the vehicle-mounted superconducting magnet monitoring system.

An embodiment of the present application also provides a computer-readable storage medium. When the instructions in the computer-readable storage medium are executed by a processor of a determination system of a vehicle-mounted superconducting magnet monitoring system, the determination system is enabled to execute any of the above-mentioned determination methods of the vehicle-mounted superconducting magnet monitoring system.

The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and/or non-volatile memory in the form of read-only memory (ROM) or flash RAM, including at least one memory chip. The memory is an example of a computer-readable medium.

Computer-readable media include permanent and non-permanent, removable and non-removable media that can implement information storage by any method or technology. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tapes, Disk storage or other magnetic storage devices or any other non-transmission media can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory media such as modulated data signals and carrier waves.

Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. It should also be noted that the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

Each embodiment in this specification is described in a related manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

A method for determining a vehicle-mounted superconducting magnet monitoring system, characterized in that the method comprises:

Obtaining an identification of a vehicle-mounted superconducting magnet and a plurality of sampling parameter information, wherein the sampling parameter information includes: a parameter type identification and a plurality of other sampling parameters;

Acquire an initial monitoring system corresponding to the identification of the on-board superconducting magnet, wherein the initial monitoring system includes the installation position and installation method of each component in the monitoring system, the wiring position between each of the installation positions, and supporting component parameters;

Based on the sampling parameter information and the magnet structure information, each sensor and monitoring module in the monitoring system is selected, and the identification of each sensor and the monitoring module is obtained respectively, wherein the magnet structure information has a corresponding relationship with the identification of the vehicle-mounted superconducting magnet;

Based on a preset mapping relationship, the identifiers of the sensors and the identifiers of the monitoring modules are added to the corresponding target positions in the initial monitoring system, and based on the identifiers of the sensors and the identifiers of the monitoring modules, the parameters of the initial monitoring system are corrected;

The initial monitoring system that has undergone parameter correction is determined as a vehicle-mounted superconducting magnet monitoring system that matches the identification of the vehicle-mounted superconducting magnet.
The method according to claim 1 is characterized in that, based on the sampling parameter information and the magnet structure information, selecting each sensor and monitoring module in the monitoring system, and obtaining the identification of each sensor and monitoring module respectively, comprises:

For each sampling parameter information: determining a plurality of candidate sensors corresponding to the parameter type identifier in the sampling parameter information, and screening each of the candidate sensors based on the comprehensive matching degree of each of the other sampling parameters and the design parameter group of the candidate sensor to obtain one of the sensors and its identifier;

According to the identification of each sensor, the output data type of each sensor is obtained, and based on the output data type and the magnet structure information, each candidate monitoring module is screened to obtain a monitoring module and its identification.
The method according to claim 2, characterized in that the step of screening each of the candidate sensors based on the comprehensive matching degree between each of the other sampling parameters and the design parameter group of the candidate sensor to obtain a sensor and its identifier comprises:

For each of the candidate sensors: determine whether the value of the sampling sensitivity parameter is within the sampling sensitivity interval of the candidate sensor, and if so, output a forward matching flag, wherein the sampling sensitivity parameter is one of the other sampling parameters, and the sampling sensitivity interval is one of the design parameter group; determine whether the signal frequency is within the frequency response interval of the candidate sensor, and if so, output a forward matching flag, wherein the signal frequency is one of the other sampling parameters, and the frequency response interval is one of the design parameter group; determine whether the operation stability flag is consistent with the operation condition flag of the candidate sensor, and if so, output a forward matching flag, wherein the operation stability flag is one of the other sampling parameters, and the operation condition flag is one of the design parameter group; determine whether the installation method identifier is consistent with the assembly identifier of the candidate sensor, and if so, output a forward matching flag, wherein the installation method identifier is one of the other sampling parameters, and the assembly identifier is one of the design parameter group; determine the total number of the forward matching identifiers as the comprehensive matching degree of the candidate sensor;

The candidate sensor with the greatest comprehensive matching degree among the candidate sensors is determined as the sensor, and an identifier of the sensor is obtained.
The method according to claim 2, characterized in that the step of screening the candidate monitoring modules based on the output data types and the magnet structure information to obtain the monitoring module and its identifier comprises:

For each optional monitoring module:

According to each of the output data types, respectively obtain the transmission rate corresponding to each of the output data types; determine whether the sampling data type group of the candidate monitoring module includes each of the output data types, and if so, determine whether the sampling efficiency of the candidate monitoring module is not less than the sum of the transmission rates;

In the case where the sampling efficiency is not less than the sum of the transmission rates, determining whether the number of channels of the candidate monitoring module is not less than the total number of the output data types;

When the number of channels is not less than the total number of the output data types, determine whether each type of operating condition interval in the operating condition parameter group of the alternative monitoring module is located within the corresponding internal magnet environment parameter interval; if so, determine the alternative monitoring module as the monitoring module, and obtain the identification of the monitoring module, wherein the internal magnet environment parameter interval is a parameter in the magnet structure information, and the internal magnet environment parameter interval has a corresponding relationship with the operating condition interval.
The method according to claim 1, characterized in that the modifying of parameters of the initial monitoring system based on the identification of each of the sensors and the identification of the monitoring module comprises:

For the identification of each sensor: according to the sensor identification, determine the identification of each component that is connected to the sensor; respectively obtain the component installation parameters corresponding to each component identification in the initial monitoring system, and obtain the sensor installation parameters corresponding to the sensor identification in the initial monitoring system; display the installation parameters of each component and the sensor through a preset human-computer interaction interface, and obtain the installation parameter correction results of the user for the installation parameters of each component and the sensor;

According to the identification of the monitoring module, the identification of each auxiliary module that has data interaction with the monitoring module is determined from the initial monitoring system, and the configuration parameters of each auxiliary module are obtained according to the identification of each auxiliary module; the configuration parameters of the monitoring module and the configuration parameters of each auxiliary module are displayed through the preset human-computer interaction interface, and the configuration parameter modification result of the user on the configuration parameters of each auxiliary module is obtained;

The parameters of the initial monitoring system are corrected according to the installation parameter correction result and the configuration parameter correction result.
The method according to claim 2, characterized in that before the step of determining the initial monitoring system after the parameter correction as the on-board superconducting magnet monitoring system matching the identification of the on-board superconducting magnet, the method further comprises:

According to the output data type of each of the sensors, a target monitoring program package is extracted from a preset database and loaded into the processor of the monitoring module, wherein the target monitoring program package is a preset program package for parsing each of the output data types and determining the magnet state based on each of the output data types.
A determination system for a vehicle-mounted superconducting magnet monitoring system, characterized in that the system comprises:

A first data acquisition module is used to obtain an identification of the vehicle-mounted superconducting magnet and a plurality of sampling parameter information, wherein the sampling parameter information includes: a parameter type identification and a plurality of other sampling parameters;

A second data acquisition module is used to obtain an initial monitoring system corresponding to the identification of the vehicle-mounted superconducting magnet, wherein the initial monitoring system includes the installation position and installation method of each component in the monitoring system, the wiring position between each of the installation positions, and the parameters of the supporting components;

An equipment selection module, used for selecting each sensor and monitoring module in the monitoring system based on each sampling parameter information and magnet structure information, and obtaining the identification of each sensor and monitoring module respectively, wherein the magnet structure information has a corresponding relationship with the identification of the vehicle-mounted superconducting magnet;

A data filling module, used to add the identifiers of each of the sensors and the identifiers of the monitoring modules to their respective corresponding target positions in the initial monitoring system based on a preset mapping relationship, and to perform parameter correction on the initial monitoring system based on the identifiers of each of the sensors and the identifiers of the monitoring modules;

The system determination module is used to determine the initial monitoring system after the parameter correction as a vehicle-mounted superconducting magnet monitoring system that matches the identification of the vehicle-mounted superconducting magnet.
The method according to claim 7, characterized in that the system further comprises:

A program loading module is used to extract a target monitoring program package from a preset database according to the output data type of each sensor before determining the initial monitoring system that has undergone the parameter correction as an on-board superconducting magnet monitoring system that matches the identification of the on-board superconducting magnet, and load the target monitoring program package into the processor of the monitoring module, wherein the target monitoring program package is a preset program package for parsing each of the output data types and determining the magnet state based on each of the output data types.
A determination system for a vehicle-mounted superconducting magnet monitoring system, characterized in that the determination system comprises:

processor;

a memory for storing instructions executable by the processor;

The processor is configured to execute the instructions to implement the determination method of the vehicle-mounted superconducting magnet monitoring system according to any one of claims 1 to 6.
A computer-readable storage medium, characterized in that when the instructions in the computer-readable storage medium are executed by a processor of a determination system of a vehicle-mounted superconducting magnet monitoring system, the determination system is enabled to execute the determination method of the vehicle-mounted superconducting magnet monitoring system as described in any one of claims 1 to 6.