856 results about "Software modules" patented technology

The invention provides a multi-network integration ship-shore communication system and an intelligent ship remote driving control system based on a ship Internet of Things, and the hardware part of the multi-network integration ship-shore communication system comprises an integrated circuit board, a power module, an edge calculation module, a communication module, and an extensible communication interface, wherein the power module, the edge calculation module, the communication module, and the extensible communication interface are installed on the integrated circuit board. The communication module comprises a 4G / 5G communication module and / or a satellite module and / or a microwave module and / or a VHF module and / or an AIS module and / or a Beidou satellite module, the edge calculation module is connected with the power supply module, the communication module and the extensible communication interface, and the software part comprises a multi-network integration management software module. And the multi-network integration management software module is installed in the edge computing module. The method has the advantages that the multi-link aggregation system is used, the network transmission rate and stability are improved in the application scene of ship inland river shipping, complementation with a satellite communication system can be formed, and the service stability is further enhanced.

A system for implementing blended learning, including: • a central processing unit (CPU) configured to receive, process and store data from a range of user interfaces, learning management software modules, classroom interaction devices and cloud-based data storage; • an AI engine integrated into the CPU, configured to analyze students' interactions with educational content, classroom activities, and performance data in real time, with the AI ​​engine applying machine learning techniques to create personalized learning paths for each student based on their individual learning style, past performance, and engagement patterns; • A range of devices for classroom interaction, including at least one smartboard, tablet, or interactive projector, each configured to capture real-time data on classroom activities such as student participation, oral responses, and collaborative tasks. The captured data is then transferred to the CPU for analysis by the AI ​​engine to refine and dynamically adapt learning paths for each student; • a student user interface, wherein the student interface displays dynamically generated content tailored to the student's progress and performance, and wherein the content includes multimedia materials such as videos, tests and reading material adapted based on the student's interaction history and learning needs; • a CPU-connected teacher interface, wherein the teacher interface displays real-time analytics and insights from student data, including performance trends, engagement levels, and potential learning gaps, and wherein the AI ​​engine provides the teacher with actionable recommendations for adapting teaching strategies, resources, and interventions based on the individual needs of the students and their performance in class; • a cloud-based storage system, whereby the system securely stores student profiles, historical performance data and learning content, and whereby the CPU retrieves, updates and stores data from the cloud-based system in real time to ensure continuous adaptation of the learning experience.

The invention discloses a lineation robot control system based on a satellite positioning and orientation technology, which relates to the technical field of robot motion control and comprises a satellite positioning and orientation module, an inertial navigation module, a fusion positioning and orientation software module, a motor control software module, a motion control software module and a pattern planning software module. The satellite positioning and orientation module is used for acquiring latitude and longitude coordinates of the current position of the robot by receiving multi-frequency satellite signals; the inertial navigation module is used for collecting posture and motion data of the robot in real time through a gyroscope and an accelerometer. According to the lineation robot control system provided by the invention, through collaborative design of the multi-frequency-point GNSS receiver and the anti-multipath interference antenna array, centimeter-level continuous positioning capability in a complex urban environment is realized, and satellite signal reflection and shielding interference in scenes such as viaducts and avenues are effectively overcome; and satellite positioning and inertial navigation data are deeply fused through a tight coupling Kalman filtering algorithm.

The invention discloses an operating system health assessment method and system based on multi-dimensional index dynamic weighting, and the method comprises the steps: collecting the state of each hardware module, calculating the index, carrying out the weighted summation to obtain the score of the hardware module, adjusting the weight parameter of each hardware module through combining with the real-time load characteristic or business priority, and carrying out the real-time evaluation of the health of each hardware module. Performing weighted summation on the scores of the hardware modules to obtain a hardware health score; software state information in the operating system is collected, scores of all software modules are calculated, the software modules comprise key components, key services and key processes, and the scores of all the software modules are weighted and summed to obtain software health scores; and performing weighted summation on the hardware health score and the software health score to obtain a health score of the operating system so as to determine the health state of the operating system. The invention aims to solve the systematic defect in the existing health monitoring technology system, improve the comprehensive evaluation capability of the health evaluation of the operating system, and dynamically adapt to the change rule of the actual operating environment.

The invention relates to a reservoir dam operation safety sky-land project intelligent sensing system and an operation method, and relates to the technical field of hydraulic engineering safety monitoring. The system is composed of a sky-land water conservancy project integrated monitoring and sensing system, a self-adaptive sampling module, a layered distributed architecture and a software and hardware integrated module, and multi-source data such as deformation, seepage, stress strain, vibration and environmental quantity are cooperatively collected through five dimensions of sky domain, airspace, territory, water domain and work domain. The monitoring frequency is dynamically adjusted by using an adaptive sampling strategy, and data cleaning, standardization, space-time registration and fusion processing are completed through a distributed architecture to generate a high-quality comprehensive data set. The system can realize total-factor and whole-process refined monitoring, effectively eliminates data islands, improves data quality and monitoring efficiency, has high reliability, real-time performance and expandability, and provides powerful data support and decision basis for dam safety assessment and intelligent early warning.

Systems and methods for developing personalized instructional content include a computing device using software modules which capture data about subjects, teachers, and learners, train artificial intelligence models based on the acquired data, use the artificial intelligence models to generate instructional content personalized to an instructor and / or learner based their input, compare the generated instructional content to vetted sources and correct errors, and cause the processor to output a personalized instructional course including the updated generated instructional materials in the format capable of display to an individual learner.

The invention relates to the technical field of image processing and computer vision, in particular to a digital human image correction method, electronic equipment and a storage medium. The digital human image correction method comprises the following steps: preprocessing an image; extracting features; deviation analysis; generating a correction strategy; and correcting the image. According to the invention, image correction is realized by using an image processing library, a deep learning framework and the like through related software modules, so that the digital human image quality is improved, and the sense of reality and the visual effect are enhanced.

The invention belongs to the field of desilting robots, and particularly discloses a suction type underground drainage pipeline intelligent desilting robot and a desilting method.The desilting robot is composed of an in-pipe integrated robot and an inspection well box; the in-pipe integrated robot comprises a hardware structure and a software module, the hardware structure comprises a mechanical assembly, a circuit assembly, a sediment breaking assembly, a sediment conveying assembly and a machine body, and the software module comprises a pipeline sediment intelligent diagnosis module. A drainage pipeline siltation diagnosis module based on a deep learning network is arranged in a deep learning development board to achieve siltation diagnosis, and a central instruction receiving and sending module is used for sending desilting operation instructions to a nail surface type electric hammer, a high-pressure water spray head, a siltation crushing cutter, a silt pumping pipe, a silt discharging pipe and a vacuum sewage suction pump. According to the invention, automatic and intelligent operation of siltation diagnosis and desilting of the underground drainage pipe network in a certain maintenance area can be realized, the efficiency is greatly improved, personnel do not need to enter the pipeline, and the danger is greatly reduced.

The invention discloses a software and hardware decoupling analogue simulation test system, belongs to the technical field of vehicle analogue simulation test, and solves the technical problem that a traditional test system often neglects the actual situation in the operation process due to excessive consideration from the theoretical perspective. The system comprises an environment simulation module which is used as an integrated tool and platform for realizing automobile virtual research and development through an analog simulation technology, integrates an automobile driving environment model, a vehicle-mounted environment sensing model and a traffic model, and provides a three-dimensional digital virtual test scene modeling and editing function; the vehicle dynamics simulation module is used for providing vehicle dynamics simulation, scene construction, sensor construction and data interface construction; and the evaluation index and evaluation software module is used for receiving results output by the environment simulation module and the vehicle dynamics simulation module and outputting a report. The invention focuses on simulating the working condition, road condition and scene of a real vehicle to test the designed algorithm model, software and hardware, so as to find and solve problems as soon as possible.

The invention relates to the technical field of garbage recognition, and particularly discloses an intelligent garbage recognition system and method based on multi-modal fusion, a hardware sensing unit is composed of a three-dimensional vision module, a touch sensing module and a near infrared spectrum module, and point cloud data, a pressure distribution matrix and spectrum data of garbage are obtained respectively; and an edge computing unit is equipped to carry an NPU acceleration chip for data processing. And the software module realizes multi-modal feature fusion by using ResNet-50, LSTM (Long Short Term Memory), 1D-CNN (Convolutional Neural Network) and Transform Encoder, and is also provided with a multi-sensor timestamp synchronous controller. And the dynamic feature database starts online learning to update the material feature library when the garbage recognition confidence coefficient is lower than 85%. During feature fusion, a cross-modal feature mapping relation is established, the weight is adjusted through an attention mechanism, and dynamic learning adopts a model lightweight method based on knowledge distillation. And starting an arbitration mechanism to correct the classification result when different modal identification results conflict. According to the method, the advantages of different modal data are fully utilized, and the recognition capability in a complex environment is improved.

Aspects described herein may automatically generate threat models using large language model (LLM). A computing device may send, to LLM, one or more software modules associated with a computing system. The computing device may request the LLM to generate a threat model of the computing system. The computing device may receive, from the LLM, a first output based on the first prompt comprising first information for a first version of the threat model and a penetration test script for the computing system. The computing device may input, to the LLM, the result of the penetration test together with the LLM's previous output, to facilitate the LLM to generate a refined version of the threat model.

The invention relates to the technical field of engineering cost, and discloses a data entry method for engineering cost software, which comprises the following steps of: S1, importing an engineering quantity list file in an Excel format through an interface of the engineering cost software, and automatically analyzing a data structure of the engineering quantity list file; s2, based on a preset intelligent matching algorithm, performing dynamic mapping on the Excel data field and a data field of a project cost software function module; s3, adopting a data type self-adaptive rule to automatically classify and convert numerical values, texts and compound data in the Excel; s4, based on a data association generation algorithm, automatically establishing a hierarchical relationship and a dependency relationship between the engineering quantity list items; s5, executing one-button data import, and writing the processed structured data into a project cost software database in batches; according to the method, high-precision automatic mapping of the Excel field and the software module is realized through an intelligent matching algorithm and a dynamic weight adjustment mechanism based on the feature vector similarity, the matching accuracy is greatly improved, and the manual correction frequency is greatly reduced.

A process plant and industrial control system architecture includes a generalized compute fabric that is agnostic or indifferent to the physical location at which the compute fabric is implemented, includes one or more physical control or field devices located at one or more specific sites at which a product or process is being manufactured and further includes a transport network that securely provides communications between the compute fabric and the pool of physical devices. The compute fabric includes an application layer that includes configured containers or containerized software modules that perform various control, monitoring and configuration activities with respect to one or more devices, control strategies and control loops, sites, plants, or facilities at which control is performed, and includes a physical layer including computer processing and data storage equipment that can be located at any desired location, including at or near a site, plant, or facility at which control is being performed, at a dedicated location away from the location at which control is being performed, in re-assignable computer equipment provided in the cloud, or any combination thereof. This control architecture enables significant amounts of both computer processing and IT infrastructure that is used to support a process plant, an industrial control facility or other automation facility to be implemented in a shared, in an offsite and / or in a virtualized manner that alleviates many of the communications and security issues present in current process and industrial control systems that attempt to implement control with shared or virtualized computing resources set up according to the well-known Purdue model.The industrial control system architecture is protected via more secure and customizable techniques as compared to those used in Purdue model-based control systems. For example, communications between any (and in some cases, all) endpoints of the system may be protected via one or more virtual private networks to which authenticated endpoints must be authorized to access. Endpoints may include, for example, containerized components, physical components, devices, sites or locations, the compute fabric, and the like, and the VPNs may include mutually-exclusive and / or nested VPNs. External applications and services, whether automated or executing under the purview of a person, may access information and services provided by the system via only APIs, and different sets of APIs may be exposed to different users that have been authenticated and authorized to access respective sets of APIs.A configuration system operates within the compute fabric to enable a user to easily make configuration changes to the compute fabric as the user does not generally need to specify the computer hardware within the compute fabric to use to make the configuration changes, making it possible for the user to deploy new configuration elements with simple programming steps, and in some cases with the push of a button.

Disclosed herein are multispace parking pay stations comprising: at least one processor, a memory, a communications element, a printer, and a computer program including instructions executable by the at least one processor to create an application comprising: a software module receiving a unique identifier associated with a parking customer, the parking customer having executed a mobile payment for parking in a space associated with the pay station; a software module transmitting the unique identifier to a central parking management server and querying the central parking management server with the unique identifier to identify the parking customer and verify the mobile payment; and a software module generating and sending instructions to the printer to print a payment verification for the parking customer.

A system for providing a safety critical operating environment container architecture, the system including a computing device having a memory communicatively connected to at least one multi-core processor, the memory containing instructions configuring the processer to receive at least a software module to be executed on the at least one multi-core processor, create a separate virtual environment for the at least a software module, wherein creating the virtual environment further includes generating a virtualization layer and allocating a dedicated private static memory space through the virtualization layer, wherein the separate virtual environment includes a dedicated operating system, integrate the at least a software module into the virtual environment by instantiating, the software module into at least one software container, wherein the at least one software container includes a plurality of dedicated software packages and execute the software module on each software container for each virtual environment.

The invention discloses a portable indoor environment detector based on STM32. The portable indoor environment detector comprises a hardware module and a software module, the hardware module comprises a main control module, a sensor module and a display module; the software module comprises a communication module and a client control module; the sensor and gas molecules are subjected to physical and chemical reaction to generate electric signal change, and electric signals with different amplitudes are generated according to different concentrations and transmitted to the main control module; the main control module obtains a target gas concentration value through an analog-to-digital conversion function and through preprocessing and mode recognition of the electric signal, and transmits the target gas concentration value to the display module and the client control module through the communication module; and after receiving the target concentration value, the client control module transmits the target concentration value to the Ali cloud platform, displays data and a real-time curve on a Web visual interface for a user to check, and can control the start and stop of a gas detection function at the same time. According to the invention, high-precision detection of a plurality of common harmful gases is realized, and the rapid response capability is realized.

The invention relates to data analysis, in particular to an intelligent dependency graph construction method based on multi-dimensional analysis and self-adaptive optimization, which comprises the following steps: reading module data, and carrying out preliminary analysis on a dependency relationship among modules to construct a preliminary dependency graph; performing multi-dimensional analysis on a dependency relationship between each pair of modules in the preliminary dependency graph, and calculating a comprehensive score of each pair of modules according to a multi-dimensional analysis result; adjusting the preliminary dependency graph according to the comprehensive score of each pair of modules to obtain an adjusted dependency graph; performing cyclic dependency detection on the adjustment dependency graph, and merging static dependency data and dynamic dependency data of each module; self-adaptive optimization is carried out according to the complexity of the adjusted dependency graph, a final dependency graph is generated, and the final dependency graph is stored and output; according to the technical scheme provided by the invention, the defect that the software module dependency graph is difficult to accurately and efficiently analyze and construct in the prior art can be effectively overcome.

An apparatus and method for increasing security of a virtual machine are disclosed. The apparatus includes a host circuit having at least a processor and a memory, wherein the at least a processor is configured to receive at least a software module, create a virtual environment, which includes creating a plurality of partitions including a virtual machine (VM), determine a compliance category of the at least a software module as a function of an adherence of the at least a software module to at least one operational rule, isolate the at least a software module to the VM of a software module partition of the plurality of partitions, which includes adjusting partition connections between the software module partition and other partitions of the plurality of partitions within the virtual environment as a function of the compliance category and execute the at least a software module within the virtual environment.

The invention discloses a wearable plantar pressure and three-dimensional gait analysis system, and relates to the technical field of gait analysis, the system comprises a wearable in-shoe plantar pressure analysis subsystem and a three-dimensional gait analysis subsystem; the wearable in-shoe plantar pressure analysis subsystem comprises a pressure sensor module, a pressure integration module, an intelligent transmission module, a detection software module, a power supply module, an instantaneous pressure and balance detection module, a standing balance detection module, a balance and gait detection module and a cloud server; the three-dimensional gait analysis subsystem comprises a hardware unit and a software unit; according to the invention, a wearable plantar pressure and three-dimensional gait analysis collaborative system is constructed, bidirectional verification compensation is realized by means of data fusion of two subsystems, and traditional single-dimensional limitation is broken; pressure sensing and a double-view reconstruction technology are fused, data are dynamically captured, and bidirectional error correction is carried out; the limitation of traditional equipment is solved, the evaluation accuracy and robustness are improved, and a quantitative basis is provided for clinical diagnosis, rehabilitation and the like.

A monitoring and / or food / water / medicine control system and method of use of the systems provide that (i) an experimenter at the computer desktop sets the schedule for feeding / fasting (food or water or medicine) the animal according to their need, and the animal's access to food or water or medicine will be set accordingly. This allows animal scientists, experimentalists, and experimenters to fully control animal feeding scenarios; (ii) the experimenter remotely opens and closes the animal's access to food / water / medicine regardless of the pre-set schedule; (iii) the experimenter checks the animal's status via real-time monitoring; (iv) an artificial intelligence system identifies and tracks the animal's location and its activities; and (v) a software module connects the vision unit and feeding mechanism to the experimenter's desktop to provide full control of both the vision unit and the feeding mechanism, to calculate different parameters of the animal's activities, and to report the animal's feeding / fasting history, activity history, and upcoming scheduled feedings.

The invention discloses a flight parameter loading method based on software internal data acquisition, belongs to the technical field of airborne avionics, and aims at the problems of limited data acquisition flexibility, low resource utilization efficiency and difficulty in problem positioning. A detailed parameter recording instruction is set on a TIDE software interface, the TIDE software encapsulates the instruction into a request packet and sends the request packet to the FDR software, the FDR software verifies and analyzes the request packet and stores the request packet in a temporary storage area, the FDR software reencapsulates request information into a request packet conforming to an IVOS software receiving format and forwards the request packet to the IVOS software, and the IVOS software receives the request packet and sends the request packet to the TIDE software. Carrying out integrity verification on the data packet; through cooperative work of the IVOS software module, the FDR software module and the TIDE software module, key data related to research and development tests can be accurately collected, research and development personnel do not need to blindly find useful information in mass data, and the data processing and analysis efficiency is greatly improved.

The present application discloses a memory resource allocation method for an embedded system, a computer device, and a computer-readable storage medium. The method comprises: determining a target software module set according to the classification result of the software modules of the embedded system. Determining a target operation domain according to the target software module set. Determining a target loading management table according to the target software module set and the target operation domain. According to the target loading management table, memory resources are allocated to the target software module set to implement memory resource allocation for the embedded system. In this way, by classifying software modules that do not need to be resident in memory at the same time when the program is running, different software modules of the same class use the same operation domain, namely, the target operation domain, thereby effectively utilizing limited memory resources and ensuring that the software modules are loaded into the target operation domain only when needed, thereby improving the performance and efficiency of the embedded system.

The invention discloses a satellite positioning and orientation automatic lineation robot control method, which relates to the technical field of automation control and comprises the following steps: S1, generating high-precision positioning data by fusing a satellite positioning and orientation technology and an inertial navigation technology; the satellite positioning data and the inertial navigation data are fused through a Kalman filtering algorithm. According to the automatic lineation robot control method, the satellite positioning and orientation technology and the inertial navigation technology are fused, data fusion is carried out through the Kalman filtering algorithm, high-precision positioning data can be generated, a solid foundation is provided for follow-up pattern planning and path planning, and the automatic lineation robot control method is suitable for large-scale popularization and application. The working efficiency of the lineation robot is improved, the lineation precision is remarkably improved, the accuracy and consistency of pattern drawing are ensured, a complex pattern is decomposed into simple pattern units through the pattern planning software module, path planning is conducted through a cubic spline interpolation algorithm, and the lineation process is simplified.

The invention provides an intracranial pressure real-time monitoring and drainage adaptive control optimization system. The intracranial pressure real-time monitoring and drainage self-adaptive control optimization system comprises a hardware module, a software module and a mathematical model, the intracranial pressure is monitored in real time through a high-precision sensor, self-adaptive adjustment is carried out based on individual characteristics of a patient to optimize drainage control, and the hardware module comprises the high-precision pressure sensor used for monitoring the intracranial pressure in real time, and the software module is used for monitoring the intracranial pressure in real time; the drainage pipeline is connected into the patient valine and used for adjusting drainage of cerebrospinal fluid. By combining the high-precision pressure sensor, the artificial intelligence algorithm, the neural network and the fuzzy control strategy, the real-time response capability of the system to the intracranial pressure change is remarkably improved. The preferably adopted micro electro mechanical system sensor has the advantages of being high in precision and low in delay, intracranial pressure changes as small as 0.01 mmHg can be detected, and the drifting phenomenon of the sensor in long-term monitoring is reduced through the self-calibration function.

The invention discloses a visual recognition paint spraying robot system and an operation method thereof, and relates to the technical field of automatic paint spraying, and the technical scheme is that the visual recognition paint spraying robot system comprises a robot system module which comprises a hardware module and a software module; the hardware module comprises a visual acquisition unit module, a spraying execution module, a paint supply module, a safety protection unit module and a control terminal module, and the software module comprises a visual identification subsystem module, a path planning subsystem module, a monitoring and alarm subsystem module and a safety control subsystem module. The high-precision paint spraying system has the beneficial effects that through the high-resolution industrial camera, the 3D laser scanner and an advanced visual recognition algorithm, information such as grooves, defects and sizes of workpieces can be precisely recognized, high-precision paint spraying of complex workpieces is achieved in combination with a self-adaptive path generation algorithm, the paint spraying quality and the product percent of pass are greatly improved, the production efficiency is improved, and the production cost is reduced. And the whole paint spraying process is smoother and more efficient.

The invention provides a laboratory operation management intelligent system based on undergraduate scientific research ability cultivation. The laboratory operation management intelligent system based on undergraduate scientific research ability cultivation comprises hardware modules including a laboratory instrument equipment intelligent management device, an access control system, a monitoring camera and a data transmission device; the laboratory instrument and equipment intelligent management device comprises an RFID reader-writer, a sensor and a consumable monitor, and the access control system comprises face recognition equipment, a fingerprint recognition module, an electronic door lock and a software module; equipment state monitoring, consumable use tracking, user authority management and scientific research evaluation data processing are integrated. According to the laboratory operation management intelligent system based on undergraduate scientific research ability cultivation, through the synergistic effect of the hardware module, the software module and the resource management model, the core problem in a traditional laboratory management mode is effectively solved.

The invention discloses a real-time adjustment camera focusing method and system, and aims to solve the problem of poor anti-interference capability of an existing focusing mode. The method comprises the following steps: off-line construction of an optimization lookup table and on-line real-time focusing: in an off-line stage, constructing a fixed-focus platform, generating an original lookup table through light spot anti-interference preprocessing and centroid calculation, and then constructing an efficient retrieval data structure to obtain the optimization lookup table; in the online stage, images are collected in real time, the center of mass is obtained through anti-interference processing, compensation is conducted through a preset prediction algorithm during shielding, target reference points are matched through an efficient retrieval data structure, and focusing is triggered according to deviation of the center of mass. The system comprises a hardware module and a software module which cooperatively realize the method. The method improves the anti-interference capability of light spot processing and the matching efficiency of the lookup table, adapts to the interference of illumination fluctuation, shielding and the like of an industrial environment, meets the real-time focusing requirements of high-speed production, is compatible with existing hardware, and is convenient to deploy.

The invention discloses a software architecture recovery method and system based on structural dependence and semantic similarity, and the method comprises the steps: carrying out the coding and embedding of source code files of software through a code pre-training model, extracting the semantic information of the source code files, and calculating the semantic similarity between the source code files; using a code statistical analysis tool to extract a structure dependency relationship between the source code files; in combination with the semantic similarity and the structure dependency relationship, calculating a connection weight between the source code files, and constructing a weighted graph; and dividing the weighted graph into communities representing the software modules by adopting a community detection algorithm, and recovering the software architecture. According to the method provided by the invention, the weighted graph is constructed by combining semantic similarity and structural dependency, and software modular segmentation is carried out by adopting a community detection algorithm, so that the efficiency, accuracy and expandability of software architecture recovery are improved.

An embracing robot for adjuvant therapy of depression belongs to the crossing field of medical health and man-machine interaction and comprises a sensor module, a driving module, a control module, a feedback module, a touch module and a software module. Through the sponge-cotton-sponge interlayer design, the comfortable touch feeling is provided, the warmth and softness of human hugging are simulated, and the emotional satisfaction of a user is enhanced. By combining a sensor and an algorithm, the robot can monitor the embracing strength and duration of the user in real time, the embracing strength and mode are intelligently adjusted, and personalized emotion support is provided. The embracing experience every time is not monotonous due to the randomly changing embracing postures and diversified action modes, the sense of reality and the sense of naturalness are increased, and the mechanical experience is avoided. Through pacifying actions, anxiety and pressure of a user are effectively relieved, treatment of depression is assisted, and emotional comfort is provided.

The invention relates to the technical field of intelligent detection, and provides an industrial site defect multispectral detection system and method, and the system comprises a multispectral detection device which comprises a three-axis holder support; the detector outer shell is rotationally connected with the three-axis holder bracket, and the position adjustment of the detector outer shell is controlled by the three-axis holder bracket; the visible light lens I, the visible light lens II, the infrared lens and the ultraviolet lens are arranged in a cross distribution mode, the server or the edge computing device is in communication connection with the three-axis holder support control unit and the lens control unit, and the server or the edge computing device is provided with a software module. And the result display platform and the alarm equipment are in communication connection with the server or the edge computing equipment. According to the technical scheme, binocular vision and multispectral detection are cooperated, fusion of visible light defect detection results and infrared or ultraviolet defect detection results of industrial site defects can be achieved, and the reliability and accuracy of the detection process are improved.