Critical Fields List

本文列举了美国国务院签证办公室发布的敏感技术领域清单,这些领域的研究和技术可能会导致签证申请者接受额外的安全审查。涉及核技术、生物技术和导弹系统等多个关键领域。

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A 2002 U.S. Department of State Visa Office cable to consular sections around the world (still accessible online) noted the following critical field categories. As such information is now considered classified, an updated list is not available for public dissemination; thus, it is likely that field categories have been ammended and expanded.

It is possible that even loose associations with the critical fields indicated below (e.g., student studying in physics) will result in additional security clearances and dealyed visa processing. Accordingly, visa applicants should be prepared to provide additional documentation regarding their area of study and research when applying for a visa.

A. Conventional Munitions: Technologies associated with:

  • Warheads and other large caliber projectiles
  • Reactive armor and warhead defeat systems
  • Fusing and arming systems
  • Electronic countermeasures and systems
  • New or novel explosives and formulations
  • Automated explosive detection methods and equipment

B. Nuclear Technology: Technologies associated with production and use of nuclear material for both peaceful and military applications.  Included are technologies for:

  • Enrichment of fissile material
  • Reprocessing irradiated nuclear fuel to recover produced plutonium
  • Production of heavy water for moderator material
  • Plutonium and tritium handling

Also, certain associated technologies related to nuclear physics and/or nuclear engineering.  Includes materials, equipment or technology associate with:

  • Power reactors, breeder and production reactors
  • Fissile or special nuclear materials
  • Uranium enrichment, including gaseous diffusion, centrifuge, aerodynamic, chemical, Electromagnetic Isotopic Separation (EMIS), Laser Isotope Separation (LIS)
  • Spent fuel reprocessing, plutonium, mixed oxide nuclear research
  • Inertial Confinement Fusion (ICF)
  • Magnetic confinement fusion
  • Laser fusion, high power lasers, plasma
  • Nuclear fuel fabrication including Mixed Oxide (uranium-plutonium) fuels (MOX)
  • Heavy water production
  • Tritium production and use
  • Hardening technology

C. Rocket Systems (including ballistic missile systems, space launch vehicles and sounding rockets) and Unmanned Air Vehicles (UAV) (including cruise missiles, target drones, and reconnaissance drones): Technologies associated with rocket systems and UAV systems.  The technology needed to develop a satellite launch vehicle is virtually identical to that needed to build a ballistic missile.

D. Rocket System and Unmanned Air Vehicle (UAV) Subsystems: Propulsion technologies include solid rocket motor stages, and liquid propellant engines.  Other critical subsystems include re-entry vehicles, guidance sets, thrust vector controls and warhead safing, arming and fusing.  Many of these technologies are dual-use.  Technologies include:

  • Liquid and solid rocket propulsion systems
  • Missile propulsion and systems integration
  • Individual rocket stages or staging/separation mechanism
  • Aerospace thermal (such as super alloys) and high-performance structures
  • Propulsion systems test facilities

E. Navigation, Avionics and Flight Control Useable in Rocket Systems and Unmanned Air Vehicles (UAV): These capabilities directly determine the delivery, accuracy, and lethality of both unguided and guided weapons.  The long-term costs to design, build and apply these technologies have been a limiting proliferation factor.  Technologies include those associated with:

  • Internal navigation systems
  • Tracking and terminal homing devices
  • Accelerometers and gyroscopes
  • Rocket and UAV and flight control systems
  • Global Positioning System (GPS)

F. Chemical, Biotechnology and Biomedical Engineering: The technology used to produce chemical and biological weapons is inherently dual-use.  The same technologies that could be applied to develop and produce chemical and biological weapons are sued widely by civilian research laboratories and industry; these technologies are relatively common in many countries.  Advanced biotechnology has the potential to support biological weapons research.  In the biological area, look for interest in technologies associated with:

  • Aerobiology (study of microorganisms found in the air or in aerosol form)
  • Biochemistry
  • Pharmacology
  • Immunology
  • Virology
  • Bacteriology
  • Mycology
  • Microbiology
  • Growth and culture of microorganisms
  • Pathology (study of diseases)
  • Toxicology
  • Study of toxins
  • Virulence factors
  • Genetic engineering, recombinant DNA technology
  • Identification of nucleic acid sequences associated with pathogenecity
  • Freeze-drying (lyophilization)
  • Fermentation technology
  • Cross-filtration equipment
  • High “DOP-rated filters” (e.g., HEPA filters, ULPA filters)
  • Microencapsulation
  • Aerosol sprayers and technology, aerosol and aerosolization technology
  • Spray or drum drying technology
  • Milling equipment or technology intended for the production of micron-sized particles
  • Technology for eliminating electrostatic charges of small particles
  • Flight training
  • Crop-dusting, aerosol dissemination
  • Unmanned aerial vehicle (UAV) technology
  • Fuses, detonators, and other munitions technology
  • Submunitions technology
  • Computer modeling of dissemination or contagion
  • Chemical absorption (nuclear-biological-chemical (NBC) protection). 

In the chemical area, look for:

  • Organo-phosphate chemistry
  • Neurochemistry
  • Chemical engineering
  • Chemical Separation technology
  • Pharmaceutical production technology
  • Pesticide production technology
  • Toxicology
  • Pharmacology
  • Neurology
  • Immunology
  • Detection of toxic chemical aerosols
  • Chemical absorption (Nuclear-Biological-Chemical (NBC) protection)
  • Production of glass-lined steel reactors/vessels, pipes, flanges, and other equipment
  • Aerosol sprayers and technology
  • Flight training
  • Crop-dusting, aerosol dissemination
  • Unmanned Aerial Vehicle (UAV) technology
  • Fuses, detonators, and other munitions technology
  • Submunitions technology
  • Computer modeling of dissemination

G. Remote Sensing, Imaging and Reconnaissance: Satellite and aircraft remote sensing technologies are inherently dual-use; increasingly sophisticated technologies can be used for civilian imagery projects or for military and intelligence reconnaissance activities.  Drones and remotely piloted vehicles also augment satellite capabilities.  Key-word associated technologies are:

  • Remote sensing satellites
  • High resolution multi-spectral, electro-optical and radar data/imagery
  • Imagery instruments, cameras, optics, and synthetic aperture radar systems
  • Ground receiving stations and data/image processing systems
  • Photogrammetry
  • Imagery data and information products
  • Piloted aircraft
  • Unmanned Air Vehicles (UAV)
  • Remotely-piloted vehicles; and drones

H. Advanced Computer/Microelectronic Technology: Advanced computers and software play a useful (but not necessarily critical) role in the development and deployment of missiles and missile systems, and in the development and production of nuclear weapons.  Advanced computer capabilities are also used in over-the-horizon targeting, airborne early warning targeting, Electronic Countermeasures (ECM) processors.  These technologies are associated with:

  • Supercomputing, hybrid computing
  • Speech processing/recognition systems
  • Neural networks
  • Data fusion
  • Quantum wells, resonant tunneling
  • Superconductivity
  • Advance optoelectronics
  • Acoustic wave devices,
  • Superconducting electron devices
  • Flash discharge type x-ray systems
  • Frequency synthesizers
  • Microcomputer compensated crystal oscillators

I. Materials Technology: The metallic, ceramic and composite materials are primarily related to structural functions in aircraft, spacecraft, missiles, undersea vehicles, and propulsion devices.  Polymers provide seals and sealants for containment of identified fluids and lubricants for various vehicles and devices.  High density graphite is used in missile nosetips, jet vanes and nozzle throats.  Selected specialty materials (i.e., stealth and the performance of these materials) provide critical capabilities that exploit electromagnetic absorption, magnetic, or superconductivity characteristics.  These technologies are associated with:

  • Advanced metals and alloys
  • Non-composite ceramic materials
  • Ceramic, cermet, organic and carbon materials
  • Polymeric materials
  • Synthetics fluids
  • Hot isostatic
  • Densifications
  • Intermetallic
  • Organometals
  • Liquid and solid lubricant
  • Magnetic metals and superconductive conductors

J. Information Security: Technologies associated with cryptography and cryptographic systems to ensure secrecy for communications, video, data and related software.

K. Laser and Directed Energy Systems Technology: Lasers have critical military applications, including incorporation in guided ordinance such as laser guided bombs and ranging devices.  Directed energy technologies are used to generate electromagnetic radiation or particle beams and to project that energy on a specific target.  Kinetic energy technologies are those used to impart a high velocity to a mass and direct it to a target.  Directed energy and kinetic energy technologies have potential utility in countering missiles and other applications.  Look for technologies associated with:

  • Atomic Vapor Laser Isotope Separation (AVLIS)
  • Molecular Laser Isotope Separation (MLIS)
  • High Energy Lasers (HEL) (i.e., laser welders)
  • Low Energy Lasers (LEL)
  • Semiconductor lasers
  • Free electron lasers
  • Directed Energy (DE) systems
  • Kinetic Energy (KE) systems
  • Particle beam, beam rider, electromagnetic guns, Optoelectronics/electro-oPtics (Europe)
  • Optical tracking (i.e., target designators)
  • High energy density
  • High-speed pulse generation, pulsed power
  • Hypersonic and/or hypervelocity
  • Magnetohydrodynamics

L. Sensors and Sensor Technology: Sensors provide real-time information and data, and could provide a significant military advantage in a conflict.  Marine acoustics is critical in anti-submarine warfare; gravity meters are essential for missile launch calibration.  Look for technologies associated with:

  • Marine acoustics
  • Optical sensors
  • Night vision devices, image intensification devices
  • Gravity meters
  • High speed photographic equipment
  • Magnetometers

M. Marine Technology: Marine technologies are often associated with submarines and other deep submersible vessels; propulsion systems designed for undersea use and navigation and quieting systems are associated with reducing detectability and enhancing operations survivability.  Look for technologies associated with:

  • Submarines and submersibles
  • Undersea robots
  • Marine propulsion systems
  • Signature recognition
  • Acoustic and non-acoustic detection
  • Acoustic, wake, radar and magnetic signature reduction
  • Magnetohydrodynamics
  • Stirling engines and other air independent propulsion systems

N. Robotics: Technologies associate with:

  • Artificial intelligence
  • Automation
  • Computer-controlled machine tools
  • Pattern recognition technologies

O. Urban Planning: Expertise in construction or design of systems or technologies necessary to sustain modern urban societies (PLEASE NOTE: Urban Planning may not fall under the purview of INA section 212 (a)(3)(a), U.S. technology transfer laws, or any other U.S. law or regulation.  However, Urban Planning is a special interest item and posts are requested to refer such visa application requests to CA/VO/L/C for further review.)  Look for technologies/skills associated with:

  • Architecture
  • Civil Engineering
  • Community development
  • Environmental planning
  • Geography
  • Housing
  • Landscape architecture
  • Land use and comprehensive planning
  • Urban design
<think>我们遇到了一个新的错误:`MvCamera`类没有`MV_CC_DEVICE_INFO_LIST`属性。这通常是因为在海康威视的SDK中,`MV_CC_DEVICE_INFO_LIST`是一个结构体,而不是`MvCamera`类的成员。正确的做法是从`MvCameraControl_class`模块中导入这个结构体,或者使用`MvCamera`类中提供的方法来创建设备列表。 在海康威视的Python SDK示例中,通常是这样枚举设备的: 1. 调用`MvCamera.MV_CC_EnumDevices`函数,这个函数需要两个参数:设备类型和一个指向`MV_CC_DEVICE_INFO_LIST`结构体的指针。 2. `MV_CC_DEVICE_INFO_LIST`结构体需要预先创建并初始化。 但是,错误提示表明`MvCamera`类没有`MV_CC_DEVICE_INFO_LIST`属性。实际上,`MV_CC_DEVICE_INFO_LIST`应该是一个独立的结构体,定义在`MvCameraControl_class`模块中(通常在`MvCameraControl_class.py`文件中)。因此,我们需要检查导入方式。 ### 解决方案: #### 1. 正确导入结构体 在代码的导入部分,我们应该从`MvCameraControl_class`中导入`MV_CC_DEVICE_INFO_LIST`结构体。例如: ```python from MvImport.MvCameraControl_class import MvCamera, MV_CC_DEVICE_INFO_LIST ``` #### 2. 创建设备列表实例 在`enum_devices`函数中,我们使用`MV_CC_DEVICE_INFO_LIST`来创建实例,而不是通过`MvCamera`类。 原代码: ```python deviceList = MvCamera.MV_CC_DEVICE_INFO_LIST() ``` 修改为: ```python deviceList = MV_CC_DEVICE_INFO_LIST() ``` ### 修改后的enum_devices函数示例: ```python def enum_devices(): global deviceList, obj_cam_operation # 使用正确的常量 n_layer_type = ( MV_GIGE_DEVICE | MV_USB_DEVICE | MV_GENTL_CAMERALINK_DEVICE | MV_GENTL_CXP_DEVICE | MV_GENTL_XOF_DEVICE ) # 创建设备列表结构体实例 deviceList = MV_CC_DEVICE_INFO_LIST() # 调用枚举函数 ret = MvCamera.MV_CC_EnumDevices(n_layer_type, deviceList) if ret != 0: strError = "Enum devices fail! ret = :" + ToHexStr(ret) QMessageBox.warning(mainWindow, "Error", strError, QMessageBox.Ok) return ret # ... 后续代码 ... ``` ### 完整代码调整: 在导入部分,确保我们已经导入了`MV_CC_DEVICE_INFO_LIST`: ```python # 导入海康SDK相关 from MvImport.MvCameraControl_class import MvCamera, MV_CC_DEVICE_INFO_LIST, MV_CC_DEVICE_INFO from CameraParams_header import ( MV_GIGE_DEVICE, MV_USB_DEVICE, MV_GENTL_CAMERALINK_DEVICE, MV_GENTL_CXP_DEVICE, MV_GENTL_XOF_DEVICE ) ``` ### 注意: 如果`MvCameraControl_class`模块中没有直接导出`MV_CC_DEVICE_INFO_LIST`,我们可能需要这样导入: ```python from MvImport.MvCameraControl_class import MV_CC_DEVICE_INFO_LIST ``` ### 备选方案: 如果上述导入方式仍然找不到`MV_CC_DEVICE_INFO_LIST`,我们可以考虑使用`ctypes`来创建结构体。但通常海康的Python SDK封装已经提供了这些结构体。 ### 如果问题仍然存在: 可能是SDK的Python封装版本问题。我们可以查看`MvCameraControl_class.py`文件,确认其中是否定义了`MV_CC_DEVICE_INFO_LIST`类。如果没有,可能需要更新SDK或者手动添加。 ### 示例:手动定义结构体(不推荐,最后手段) 如果SDK封装确实没有提供,我们可以根据C的头文件手动定义(这里仅作参考,因为不同版本可能有差异): ```python from ctypes import * class MV_CC_DEVICE_INFO_LIST(Structure): _fields_ = [ ("nDeviceNum", c_uint), ("pDeviceInfo", POINTER(c_ubyte)), ("nReserved", c_uint * 4) ] ``` 但强烈建议使用SDK自带的定义。 ### 总结步骤: 1. 检查导入,确保从`MvCameraControl_class`中导入了`MV_CC_DEVICE_INFO_LIST`。 2. 修改`enum_devices`函数,直接使用`MV_CC_DEVICE_INFO_LIST()`创建实例。 3. 确保在调用`MvCamera.MV_CC_EnumDevices`时,传递正确的参数。 ### 修改后的完整enum_devices函数: ```python def enum_devices(): global deviceList, obj_cam_operation n_layer_type = ( MV_GIGE_DEVICE | MV_USB_DEVICE | MV_GENTL_CAMERALINK_DEVICE | MV_GENTL_CXP_DEVICE | MV_GENTL_XOF_DEVICE ) # 创建设备列表结构体 deviceList = MV_CC_DEVICE_INFO_LIST() # 初始化结构体(如果需要) # 注意:根据SDK,我们直接将其传递给枚举函数,函数会填充这个结构体 ret = MvCamera.MV_CC_EnumDevices(n_layer_type, deviceList) if ret != 0: strError = "Enum devices fail! ret = :" + ToHexStr(ret) QMessageBox.warning(mainWindow, "Error", strError, QMessageBox.Ok) return ret if deviceList.nDeviceNum == 0: QMessageBox.warning(mainWindow, "Info", "Find no device", QMessageBox.Ok) return ret print(f"Find {deviceList.nDeviceNum} devices!") # ... 后续设备信息处理代码 ... ``` ### 相关问题: §§相关问题§§: 1. 在使用海康威视相机SDK时,如何正确处理设备枚举过程中的错误码? 2. 在Python中,如何使用ctypes库定义与C语言兼容的结构体? 3. 当多个相机设备连接到同一台计算机时,如何根据设备属性(如IP地址或序列号)选择特定设备? 4. 在工业视觉应用中,如何实现相机设备的自动重连机制?</think>这个错误表明 `MvCamera` 类中缺少 `MV_CC_DEVICE_INFO_LIST` 属性。这通常是由于海康威视 SDK 的 Python 封装方式问题导致的。让我们深入分析并解决这个问题: ### 问题原因 1. **SDK 封装结构**:海康威视 SDK 中,`MV_CC_DEVICE_INFO_LIST` 是一个独立的结构体,不是 `MvCamera` 类的属性 2. **导入方式错误**:代码试图通过 `MvCamera` 类访问这个结构体,但正确的访问方式是直接导入 3. **SDK 版本差异**:不同版本的 SDK 可能有不同的封装方式 ### 解决方案 #### 方案1:正确导入结构体(推荐) 修改导入部分,直接导入 `MV_CC_DEVICE_INFO_LIST` 结构体: ```python # 正确导入结构体 from MvImport.MvCameraControl_class import MV_CC_DEVICE_INFO_LIST def enum_devices(): global deviceList, obj_cam_operation n_layer_type = ( MV_GIGE_DEVICE | MV_USB_DEVICE | MV_GENTL_CAMERALINK_DEVICE | MV_GENTL_CXP_DEVICE | MV_GENTL_XOF_DEVICE ) # 直接使用结构体 deviceList = MV_CC_DEVICE_INFO_LIST() ret = MvCamera.MV_CC_EnumDevices(n_layer_type, deviceList) # ... 其余代码保持不变 ... ``` #### 方案2:使用 SDK 的正确访问方式 在某些 SDK 版本中,可能需要使用 `MvCamera` 的特定方法来创建设备列表: ```python def enum_devices(): global deviceList, obj_cam_operation n_layer_type = ( MV_GIGE_DEVICE | MV_USB_DEVICE | MV_GENTL_CAMERALINK_DEVICE | MV_GENTL_CXP_DEVICE | MV_GENTL_XOF_DEVICE ) # 使用 SDK 提供的创建方法 deviceList = MvCamera.MV_CreateDeviceInfoList() ret = MvCamera.MV_CC_EnumDevices(n_layer_type, deviceList) # ... 其余代码保持不变 ... ``` #### 方案3:手动定义结构体(备用方案) 如果上述方案都不起作用,可以手动定义 `MV_CC_DEVICE_INFO_LIST` 结构体: ```python from ctypes import * # 手动定义设备信息结构体 class MV_CC_DEVICE_INFO(Structure): _fields_ = [ ("nMajorVer", c_ushort), ("nMinorVer", c_ushort), ("nMacAddrHigh", c_uint), ("nMacAddrLow", c_uint), ("nTLayerType", c_uint), ("nReserved", c_uint * 4), ("SpecialInfo", c_ubyte * 512) ] # 手动定义设备信息列表结构体 class MV_CC_DEVICE_INFO_LIST(Structure): _fields_ = [ ("nDeviceNum", c_uint), ("pDeviceInfo", POINTER(MV_CC_DEVICE_INFO)), ("nReserved", c_uint * 4) ] def enum_devices(): global deviceList, obj_cam_operation n_layer_type = ( MV_GIGE_DEVICE | MV_USB_DEVICE | MV_GENTL_CAMERALINK_DEVICE | MV_GENTL_CXP_DEVICE | MV_GENTL_XOF_DEVICE ) # 使用手动定义的结构体 deviceList = MV_CC_DEVICE_INFO_LIST() ret = MvCamera.MV_CC_EnumDevices(n_layer_type, byref(deviceList)) # ... 其余代码保持不变 ... ``` ### 完整修复后的 enum_devices 函数 ```python def enum_devices(): global deviceList, obj_cam_operation # 使用正确的常量方式 n_layer_type = ( MV_GIGE_DEVICE | MV_USB_DEVICE | MV_GENTL_CAMERALINK_DEVICE | MV_GENTL_CXP_DEVICE | MV_GENTL_XOF_DEVICE ) # 正确创建设备列表 deviceList = MV_CC_DEVICE_INFO_LIST() # 调用枚举函数 ret = MvCamera.MV_CC_EnumDevices(n_layer_type, deviceList) if ret != 0: strError = "Enum devices fail! ret = :" + ToHexStr(ret) QMessageBox.warning(mainWindow, "Error", strError, QMessageBox.Ok) return ret if deviceList.nDeviceNum == 0: QMessageBox.warning(mainWindow, "Info", "Find no device", QMessageBox.Ok) return ret print(f"Find {deviceList.nDeviceNum} devices!") # 处理设备信息 devList = [] for i in range(0, deviceList.nDeviceNum): # 获取设备信息指针 device_info = deviceList.pDeviceInfo[i] # 转换为正确的结构体类型 mvcc_dev_info = cast(device_info, POINTER(MV_CC_DEVICE_INFO)).contents # 根据设备类型提取信息 if mvcc_dev_info.nTLayerType == MV_GIGE_DEVICE: # 处理GigE设备信息 user_defined_name = decoding_char(mvcc_dev_info.SpecialInfo.stGigEInfo.chUserDefinedName) model_name = decoding_char(mvcc_dev_info.SpecialInfo.stGigEInfo.chModelName) nip1 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0xff000000) >> 24) nip2 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0x00ff0000) >> 16) nip3 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0x0000ff00) >> 8) nip4 = (mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0x000000ff) devList.append(f"[{i}]GigE: {user_defined_name} {model_name}({nip1}.{nip2}.{nip3}.{nip4})") elif mvcc_dev_info.nTLayerType == MV_USB_DEVICE: # 处理USB设备信息 user_defined_name = decoding_char(mvcc_dev_info.SpecialInfo.stUsb3VInfo.chUserDefinedName) model_name = decoding_char(mvcc_dev_info.SpecialInfo.stUsb3VInfo.chModelName) strSerialNumber = "" for per in mvcc_dev_info.SpecialInfo.stUsb3VInfo.chSerialNumber: if per == 0: break strSerialNumber = strSerialNumber + chr(per) devList.append(f"[{i}]USB: {user_defined_name} {model_name}({strSerialNumber})") else: # 处理其他类型设备 devList.append(f"[{i}]Unknown Device Type: {mvcc_dev_info.nTLayerType}") # 更新UI mainWindow.ComboDevices.clear() mainWindow.ComboDevices.addItems(devList) mainWindow.ComboDevices.setCurrentIndex(0) # 更新状态栏 mainWindow.statusBar().showMessage(f"找到 {deviceList.nDeviceNum} 个设备", 3000) return MV_OK ``` ### 海康SDK设备枚举最佳实践 1. **设备枚举流程**: ```python # 1. 定义设备类型掩码 device_mask = MV_GIGE_DEVICE | MV_USB_DEVICE # 2. 创建设备列表结构体 device_list = MV_CC_DEVICE_INFO_LIST() # 3. 枚举设备 ret = MvCamera.MV_CC_EnumDevices(device_mask, device_list) # 4. 检查结果 if ret != MV_OK: handle_error(ret) # 5. 处理设备信息 for i in range(device_list.nDeviceNum): device_info = cast(device_list.pDeviceInfo[i], POINTER(MV_CC_DEVICE_INFO)).contents # 处理设备信息... ``` 2. **设备信息提取**: ```python def get_device_info(device_info): """提取设备信息为字典""" info = { "type": device_info.nTLayerType, "major_version": device_info.nMajorVer, "minor_version": device_info.nMinorVer } if device_info.nTLayerType == MV_GIGE_DEVICE: gigE_info = device_info.SpecialInfo.stGigEInfo info.update({ "device_type": "GigE", "user_name": decoding_char(gigE_info.chUserDefinedName), "model": decoding_char(gigE_info.chModelName), "ip": f"{gigE_info.nCurrentIp >> 24 & 0xFF}.{gigE_info.nCurrentIp >> 16 & 0xFF}.{gigE_info.nCurrentIp >> 8 & 0xFF}.{gigE_info.nCurrentIp & 0xFF}", "mac": f"{gigE_info.nMacAddrHigh:X}:{gigE_info.nMacAddrLow:X}" }) elif device_info.nTLayerType == MV_USB_DEVICE: usb_info = device_info.SpecialInfo.stUsb3VInfo info.update({ "device_type": "USB", "user_name": decoding_char(usb_info.chUserDefinedName), "model": decoding_char(usb_info.chModelName), "serial": ''.join(chr(c) for c in usb_info.chSerialNumber if c != 0) }) return info ``` 3. **错误处理**: ```python def handle_error(ret): """处理SDK错误码""" if ret == MV_OK: return error_map = { 0x80000000: "通用错误", 0x80000001: "参数错误", 0x80000002: "未授权", 0x80000003: "超时", 0x80000004: "设备未连接", 0x80000005: "内存不足", 0x80000006: "设备不支持", 0x80000007: "设备忙", # 更多错误码... } error_msg = error_map.get(ret, f"未知错误 (0x{ret:08X})") QMessageBox.critical(mainWindow, "SDK错误", error_msg) logging.error(f"SDK错误: {error_msg} (0x{ret:08X})") ``` ### 完整的导入部分修复 ```python # -*- coding: utf-8 -*- import sys import os import cv2 import numpy as np import time from PyQt5.QtWidgets import ( QApplication, QMainWindow, QPushButton, QWidget, QVBoxLayout, QHBoxLayout, QMessageBox, QLabel, QFileDialog, QToolBar, QComboBox, QStatusBar, QGroupBox, QSlider, QDockWidget, QProgressDialog, QLineEdit, QRadioButton, QGridLayout, QSpinBox ) from PyQt5.QtCore import Qt, QSettings, QThread, pyqtSignal from PyQt5.QtGui import QImage, QPixmap sys.path.append("D:\\海康\\MVS\\Development\\Samples\\Python\\BasicDemo") import ctypes from ctypes import cast, POINTER, Structure, c_uint, c_ushort, c_ubyte, byref from datetime import datetime import logging import socket import serial import skimage import platform # 修复SDK路径 def fix_sdk_path(): """修复海康SDK的加载路径""" if getattr(sys, 'frozen', False): # 打包模式 base_path = sys._MEIPASS mvimport_path = os.path.join(base_path, "MvImport") if mvimport_path not in sys.path: sys.path.insert(0, mvimport_path) if sys.platform == 'win32': os.environ['PATH'] = base_path + os.pathsep + os.environ['PATH'] try: ctypes.WinDLL(os.path.join(base_path, "MvCamCtrldll.dll")) except OSError as e: print(f"核心DLL加载失败: {e}") sys.exit(1) else: # 开发模式 sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) # 立即执行路径修复 fix_sdk_path() # ===== 正确导入SDK模块 ===== try: from MvImport.MvCameraControl_class import MvCamera from MvImport.MvCameraControl_class import MV_CC_DEVICE_INFO_LIST, MV_CC_DEVICE_INFO print("成功导入MvCamera类及结构体") from CameraParams_header import ( MV_GIGE_DEVICE, MV_USB_DEVICE, MV_GENTL_CAMERALINK_DEVICE, MV_GENTL_CXP_DEVICE, MV_GENTL_XOF_DEVICE ) from MvErrorDefine_const import MV_OK, MV_E_CALLORDER print("成功导入SDK常量") except ImportError as e: print(f"SDK导入失败: {e}") # 定义备用常量 MV_GIGE_DEVICE = 0x00000001 MV_USB_DEVICE = 0x00000002 MV_GENTL_CAMERALINK_DEVICE = 0x00000004 MV_GENTL_CXP_DEVICE = 0x00000008 MV_GENTL_XOF_DEVICE = 0x00000010 MV_OK = 0 MV_E_CALLORDER = -2147483647 # 手动定义设备信息结构体 class MV_CC_DEVICE_INFO(Structure): _fields_ = [ ("nMajorVer", c_ushort), ("nMinorVer", c_ushort), ("nMacAddrHigh", c_uint), ("nMacAddrLow", c_uint), ("nTLayerType", c_uint), ("nReserved", c_uint * 4), ("SpecialInfo", c_ubyte * 512) ] # 手动定义设备信息列表结构体 class MV_CC_DEVICE_INFO_LIST(Structure): _fields_ = [ ("nDeviceNum", c_uint), ("pDeviceInfo", POINTER(MV_CC_DEVICE_INFO)), ("nReserved", c_uint * 4) ] print("使用备用常量定义和手动结构体") # 配置日志系统 logging.basicConfig( level=logging.DEBUG, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', handlers=[ logging.FileHandler("cloth_inspection_debug.log"), logging.StreamHandler() ] ) logging.info("布料印花检测系统启动") # 全局变量 current_sample_path = "" detection_history = [] isGrabbing = False isOpen = False obj_cam_operation = None frame_monitor_thread = None sensor_monitor_thread = None sensor_controller = None # 辅助函数 def ToHexStr(num): """将数字转换为十六进制字符串表示""" return "0x" + hex(num)[2:].upper().zfill(8) def decoding_char(char_array): """解码字符数组为字符串""" try: return bytes(char_array).decode('utf-8').rstrip('\x00') except UnicodeDecodeError: return ''.join(chr(c) for c in char_array if c != 0) ``` ### 海康SDK使用注意事项 1. **结构体与类的区别**: - `MvCamera` 是操作相机的类 - `MV_CC_DEVICE_INFO_LIST` 是表示设备列表的结构体 - 两者是独立定义的不同类型 2. **内存管理**: - SDK 分配的内存需要正确释放 - 使用 `ctypes` 时需要特别注意指针管理 3. **跨版本兼容**: - 不同版本的 SDK 可能有不同的结构体定义 - 使用条件导入和备用定义提高兼容性 4. **错误处理**: - 所有 SDK 函数调用都应检查返回值 - 使用 `ToHexStr` 等辅助函数转换错误码
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