309results about How to "Accurate record" patented technology

The invention relates to the technical field of law enforcement intelligent alarm, in particular to a multi-mode intelligent analysis method and system based on law enforcement supervision. The method comprises the following steps: acquiring a law enforcement scene video file from a law enforcement supervision recorder platform, and performing audio and video segmentation and law enforcement behavior information identification analysis to obtain law enforcement scene audio behavior information data and law enforcement scene image behavior information data; performing timestamp and spatial position extraction processing on the law enforcement scene video file, performing multi-modal time-space synchronization association analysis, and performing law enforcement behavior sequence connection processing and event behavior intention recognition analysis at the same time to obtain law enforcement scene event behavior intention information data; and obtaining a preset law enforcement event behavior knowledge graph, and carrying out behavior normative score calculation and nonstandard behavior intelligent alarm optimization analysis to generate a law enforcement scene event nonstandard behavior optimization suggestion report. According to the invention, the accuracy of law enforcement nonstandard behavior supervision alarm can be improved.

The invention discloses a tunnel grouting diffusion form prediction system and method. The system comprises a tunnel simulation device used for preparing a tunnel model with cracks to simulate a tunnel rock mass; the grouting simulation system is used for conducting grouting on the tunnel simulation device by adjusting grout diffusion influence factors, and the grout diffusion state under the influence of multiple factors is obtained. The grouting diffusion form quantification system is used for cutting the grouted tunnel simulation device to obtain a plurality of slices at depth positions, and performing grid division on the surface of the slice at each depth position to obtain a grout diffusion form quantification data set; and the grouting diffusion form prediction system is used for constructing a multi-modal space-time fusion depth prediction model and inputting the grout diffusion form quantitative data set into the multi-modal space-time fusion depth prediction model to predict the diffusion form of the future grout. According to the method, the prediction model is established, and the grout diffusion form quantitative data set is used as the space-time sequence data set, so that the space-time prediction of the grouting diffusion form is realized.

The invention discloses an unmanned warehouse shelf-oriented automatic cargo checking method and system, and the method is characterized in that the method comprises the following steps: employing a target detection algorithm to extract a cargo boundary frame from captured continuous cargo images; for each cargo bounding box, calculating shape features, color features, texture features, size features and local features of the cargo in the cargo bounding box, and splicing feature vectors of the cargo according to the features; pre-defining cargo templates of different types of cargos, matching the cargo templates with the feature vectors of the cargos so as to obtain a category label of each cargo bounding box, and iteratively optimizing the target detection algorithm through a loss function; and tracking the goods extracted by the target detection algorithm by using a Kalman filtering target tracking algorithm, and obtaining the position and quantity information of the goods from the continuous goods images.

The invention discloses an anomaly detection method and system based on a dynamic traceability graph, and belongs to the field of network anomaly detection.The anomaly detection method comprises the steps that the traceability graph is constructed, and node features of all nodes and features of edges connected with the nodes are spliced to serve as state feature vectors of the corresponding nodes; continuously monitoring system traceability information and dynamically updating the traceability graph; when a new edge et is generated, executing the following steps: inputting the et, a state vector st-of a graph structure surrounding the et at a t-moment and a generation moment t of the et into the graph attention network to obtain an embedded vector z of the et, and updating a source node and a destination node of the et; inputting z into a decoder, and predicting the type of et to obtain a prediction vector P (et); the decoder comprises a long short-term memory network and a plurality of full connection layers which are connected in sequence; calculating a reconstruction error RE between the actual edge type vector of the P (et) and the actual edge type vector of the et; if Th is greater than Th, judging that abnormity exists, otherwise, judging that no abnormity exists. According to the invention, the detection precision and real-time performance of anomaly detection can be improved.

The invention discloses a long-distance high-pressure water delivery pipeline water hammer and leakage monitoring and positioning test device, which comprises a water tank, a water outlet side experiment unit, a water return side main path experiment unit and a water return side branch experiment unit, and is characterized in that the water outlet side experiment unit and the water return side branch experiment unit are communicated with the water return side main path experiment unit; the water outlet side experiment unit, the water return side main path experiment unit and the water return side branch path experiment unit are all communicated with the water tank. The device solves the problem that tiny leakage is difficult to monitor in the high-pressure water delivery process in the existing related test experiment technology, and the problems that the water hammer experiment signal precision acquisition is insufficient and the water hammer experiment causes impact damage to equipment. The invention further discloses a using method of the long-distance high-pressure water conveying pipeline water hammer and leakage monitoring and positioning testing device.

The invention discloses a handheld three-dimensional scanning system based on visible light, which belongs to the technical field of electronic scanning and comprises a calibration module, a self-adaptive adjustment module, a three-dimensional scanning module and a storage module. The calibration module is used for calibrating the three-dimensional scanner by using a known reference object; the self-adaptive adjustment module is used for automatically optimizing scanning parameters according to the material and surface characteristics of a target object so as to adapt to the surface characteristics of different materials; the three-dimensional scanning module obtains a multi-angle reflection image of the surface of a target object in real time, recognizes geometric information of the surface of the target object in the image, constructs a three-dimensional surface model of the target object, reduces an error between the model and the target object through fusion of the multi-angle image, improves the precision of the three-dimensional model, and improves the accuracy of the three-dimensional surface model. The texture information of the target object is captured, and the vivid effect of the model is enhanced; the storage module is used for storing data generated in the scanning process and establishing an efficient data index according to the stored data.

The invention relates to the technical field of industrial intelligent manufacturing, in particular to a flexible production line appearance defect optical detection method. Comprising the steps of performing image acquisition on semi-finished products and finished products on a production line; carrying out preprocessing and spatial transformation on the collected image; performing feature extraction and clustering analysis on the positive sample image of the to-be-detected product by using unsupervised learning to form a feature library; comparing the feature vector of the to-be-detected image with a feature library, and outputting the defect position and type of the sample; an improved RTDETR model with supervised learning is adopted, a sample judged as a defect is used for training, and the improved RTDETR model adopts a ResNet and Visual Transform network structure; and performing real-time detection and result feedback on the deployment model. According to the technical scheme, the appearance defect detection efficiency and the product quality of products manufactured on the flexible production line can be improved.

The embodiment of the invention relates to the technical field of engineering detection, and discloses an in-well multi-point gas detection device and an in-well multi-point gas detection method. The in-well multi-point gas detection device comprises a gas detector, a deflation brake and a plurality of ventilation hoses, the plurality of ventilation hoses are connected with the deflation brake, and the deflation brake is used for controlling opening or closing of a gas passage between the plurality of ventilation hoses and the gas detector; the deflation brake is connected with the gas detector; the ventilation hoses are different in length. According to the in-well multi-point gas detection device and the in-well multi-point gas detection method provided by the invention, whether toxic and harmful gas exists at a plurality of detection points in a manhole can be measured by adjusting the device once, and the detection efficiency and the position precision are improved.

The invention belongs to the technical field of information logistics, and particularly relates to an intelligent logistics control system and method based on machine vision and a storage medium, and the intelligent logistics control method based on machine vision comprises the steps: obtaining discharging information; controlling a visual identification module to run to a photographing position according to the discharging information so as to identify material grabbing position information and identification code information of an identification code; matching a discharging drawer of the storage cabinet module according to the identification code information, and generating matching information; and a robot carrying module is controlled to be matched with a transfer module according to the matching information and the material grabbing position information, so that the robot carrying module places the grabbed packaging parts on the transfer module, and the packaging parts are stored in a storage cabinet module through the transfer module. According to the invention, the classification, storage and taking efficiency of the packaging parts is improved, and the complexity and errors of manual operation are reduced.

The invention relates to the technical field of wild animal monitoring, in particular to an animal sensing method and device based on infrared and radar triggering, a medium and a product, and the method comprises the steps: controlling an image collection device, and carrying out the image shooting of a wild animal according to a zooming instruction, and obtaining an initial image; then, performing wild animal state analysis based on the initial image, determining shooting adjustment information, and generating a shooting adjustment instruction based on the shooting adjustment information; and further, the image acquisition device is controlled to perform image shooting on the wild animal according to the shooting adjustment instruction to obtain a wild animal image. Through evaluation of the initial image definition degree, it can be ensured that the shot wild animal image meets a certain quality requirement, the focal length of the image acquisition device is adjusted in time, and the resolution and definition of the image can be remarkably improved. Meanwhile, a dynamic tracking mechanism is introduced, so that the behavior mode of the wild animals is tracked and recorded more accurately, and the accuracy and comprehensiveness of image shooting are improved.

The invention discloses a quality inspection system for a production process of an amomum tsao-ko mixture for guiding qi downward and dredging collaterals, and aims to realize comprehensive monitoring and control of the production process through multiple modules and improve the product quality and the production efficiency. The image data acquisition module is used for acquiring raw material and production process images and spectral analysis images. The timing module records and judges the production process time. The multi-source data acquisition module collects production environment data and raw material weight. The raw material proportion control module monitors a raw material proportion. And the data processing module is used for analyzing and processing images and environment data in the production process. And the user interaction module provides an interface for real-time quality detection results and user modification commands. Through comprehensive data acquisition and processing, intelligent proportion control, accurate time management and efficient environmental condition evaluation, the production quality and safety of the amomum tsao-ko mixture for guiding qi downward and dredging collaterals are remarkably improved, human errors are reduced, and the production efficiency is improved.

The utility model relates to the technical field of medical supplies, and discloses an electrocardiogram suction ball which comprises a suction cup, a clamping plate is installed on the outer wall of the suction cup, an electrocardiogram button catching groove, a 4.0 needle inserting groove and a 3.0 needle inserting groove are formed in the outer walls of the two sides of the clamping plate respectively, threaded grooves are formed in the inner walls of the two sides of the 4.0 needle inserting groove respectively, and the two ends of the clamping plate are connected with the thread grooves. The inner wall of the threaded groove is in threaded connection with a mounting column, and a thread line is fixedly assembled on the outer wall of one side of the mounting column. The auxiliary ball body and the suction ball body are connected to an electrocardiograph according to the electrocardio button catching groove, the pin groove 4.0 and the pin groove 3.0, so that electrocardiogram detection can be easily carried out to evaluate electrical activity of the heart, electrical signals of the heart can be accurately recorded, and the auxiliary ball body and the suction ball body are made of silica gel, so that the auxiliary ball body and the suction ball body are made of silica gel. The device has the advantages of being durable and reliable, capable of working stably for a long time, good in durability and capable of being used for a long time and moved frequently.

The invention discloses a user front-end behavior log recording method and system, and belongs to the technical field of computer application, and the method comprises the steps: front-end realization: employing a Vue framework, integrating a user-defined Vue plug-in, and automatically recording details of interaction between a user and the system; back-end processing: a user operation record interface receives and processes user behavior data sent by the front end, generates a standardized JSON object, and records the standardized JSON object through a log system; the online duration calculation interface is used for managing the session state of the user by using Redis, and calculating and accumulating the online duration of the user according to the heartbeat information; eLK log recording and analysis: creating a special index in Elasticsearch to store a user operation log and online time length data; and collecting and analyzing back-end logs by utilizing Logstash, and providing a data analysis interface. According to the method, the continuity and accuracy of user activeness statistics can be improved, and really active users and accidental visitors can be effectively distinguished.

The invention relates to management equipment, a management method and a management system for surgical instruments and a medium, and the equipment comprises an object placing platform which is used for flatly laying the instruments; wherein the tiled instruments belong to the same instrument bag, and an electronic tag is accommodated in the instrument bag; the camera shooting device is used for shooting the instruments on the object placing platform; the electronic tag reading device is used for sensing the electronic tag and identifying unique identification information contained in the electronic tag; the moving device is used for controlling the storage platform to move horizontally or / and vertically; and the control device is used for acquiring the two-dimensional code of the image obtained by the camera device, and judging whether the instruments in the instrument bag are missing or redundant based on the corresponding relationship between the pre-stored two-dimensional code and the electronic tag. The system and the method have the effect of accurately tracing and counting the surgical instruments in the processes of cleaning, disinfecting, counting, keeping, using and the like in the hospital.

The invention relates to a home-based care technology for the aged, is used for solving the problems of difficulty in shopping, damage to the body caused by large activity and difficulty in distinguishing food quality in home-based care for the aged, and particularly relates to a home-based care smart cloud system based on the Internet of Things, which comprises a shopping auxiliary module, a health management module and a service evaluation module, according to the invention, the shopping auxiliary module is combined with the health management module to judge the activity amount of the elderly, so that the situation of shopping difficulty caused by non-support of the activity amount of the elderly is avoided; the health management module compares the activity data of the elderly with the optimal activity to judge whether the elderly is suitable for self-shopping, so as to prevent the physical health of the elderly from being damaged due to excessive activity; whether an article is fresh or not is judged through the service evaluation module according to quality assurance information of an article package and color difference comparison, the situation that old people eat deteriorated food to affect body health is avoided, and service scoring evaluation is conducted on stores in a set range in the aspects of pre-stocking and expenditure amount through the service evaluation module.

The invention discloses a local friction simulation testing machine for a sealing pair of a control valve, which comprises a box body, a driving transmission system, a mounting shaft, a lower test piece rotary friction quick-change assembly or a lower test piece linear reciprocating motion quick-change assembly, a support frame, a loading assembly, an in-situ observation system and a data acquisition and control system, and is characterized in that the driving transmission system is mounted in the box body; the mounting shaft is positioned above the box body and is connected with the driving transmission system through the coupler; the lower test piece rotary friction quick-change assembly or the lower test piece linear reciprocating motion quick-change assembly is mounted on the mounting shaft; the support frame is mounted at the top of the box; the loading assembly is mounted on the support frame in a penetrating manner and corresponds to the position of the lower test piece rotary friction quick-change assembly or the lower test piece linear reciprocating motion quick-change assembly below the loading assembly; the in-situ observation system is mounted on the side surface of the support frame and aligned to the bottom of the loading assembly; the in-situ observation system and the loading assembly are electrically connected with the data acquisition and control system. The real motion trail of the control valve sealing pair is simulated, and the accuracy is improved.

The invention relates to the technical field of LED semiconductor manufacturing, solves the problem that in the prior art, quality and consistency cannot be kept in the packaging and storage process of finished LED semiconductors, and provides an LED semiconductor production data tracing analysis method and system. The method comprises the steps that according to a unique identifier of a finished LED semiconductor, a taping scheme is obtained, and the taping scheme comprises a taping mode and a taping position; the finished LED semiconductor is subjected to braiding treatment according to the braiding scheme, and an LED light bar is obtained; the LED light bar is subjected to quality detection, a quality detection result is obtained, and quality detection comprises optical detection, electrical detection and mechanical detection; generating a unique identifier corresponding to the LED light bar passing the quality detection; and according to the unique identifier and the corresponding quality inspection result, carrying out warehousing processing on the LED light bar to obtain an LED product. The quality and the consistency can be kept in the packaging and storing process of finished LED semiconductors.

The invention provides a chain strength testing mechanism, and belongs to the technical field of chain strength testing. Comprising a machine body, the top of the machine body is provided with a rack rail frame, the front end of the rack rail frame is connected with an industrial camera in a meshed mode, one end of the rack rail frame is provided with a sliding groove support, the interior of the sliding groove support is slidably connected with a sliding block, and the front end of the sliding block is provided with a cavity. By arranging the supporting adjusting assembly and the latch expansion assembly, the chain testing device without a clamping structure can adapt to chains of multiple sizes, simulate working states under different tension forces and cyclic loads, comprehensively record the strength and durability of the chain in different environments, and improve the testing efficiency. It is ensured that the chain can bear the expected load in the working process, the quality of the chain is improved, the service life of the chain is accurately controlled, and the problems of chain jumping, breakage, deformation and the like caused by the chain in a continuous stretching and abrasion acceleration transmission system are solved, and the operation safety and the transmission efficiency are affected.

The invention provides a PAPI lamp monitoring method and system, a medium, a device and a program product. The method comprises the following steps: acquiring real-time video data of a PAPI lamp from an acquired video picture through a real-time video stream transmission protocol; analyzing the real-time video data by using a pre-trained machine learning model to obtain the state of the PAPI lamp; and when the obtained state of the PAPI lamp indicates that the PAPI lamp has a fault, carrying out corresponding fault early warning. By utilizing the technical scheme, the fault condition of the PAPI lamp can be monitored and early warned in real time, so that the safety risk of an airport runway and air transportation is reduced, and the working efficiency of daily operation and maintenance of an airport is remarkably improved.

The invention discloses comprehensive evaluation and training equipment for lower limb rehabilitation of a patient. The comprehensive evaluation and training equipment comprises an evaluation and training platform and a data processing and displaying device, the upper side of the evaluation and training platform is provided with a gravity balance evaluation area and a plantar pressure point analysis and gait analysis area. The device has multiple purposes, target data set in a program of the processing device are fed back to the processing device through the sensor, so that the training purpose is achieved, and the training result of a patient can be recorded more accurately and completely while the labor cost can be greatly reduced; the data uploaded by the sensor is more accurate compared with the visual inspection of the traditional rehabilitation therapist, meanwhile, the pressure and time numerical values can be displayed more clearly through the display of the software system to remind and stimulate the patient, and the training record of each time is uploaded to facilitate the diagnosis and scheme adjustment; the land occupation of rehabilitation equipment is reduced, the treatment level and the use efficiency are improved, and the application scene is expanded.

The invention relates to the technical field of production management, and discloses an MES-based production line data regulation and control method and system, and the data interaction content of the method comprises the following steps: equipment state, downloading of a product model list, downloading of production parameters, uploading of the production parameters, processing part state inspection, processing part state and processing data uploading, and equipment verification record uploading. The processing parameters of the equipment are managed and controlled by the system by downloading the product model and the production parameters; management and control of the system on the machining process of the machined part are achieved through state inspection of the machined part and process data uploading; the overall state of the equipment is managed and controlled through the equipment state and equipment verification; the data regulation and control method is suitable for PLCs of various brands and types, and standardization of data tracing of non-standard equipment is achieved.

The embodiment of the invention discloses a snapshot generation method and device, electronic equipment, a storage medium and a program product, and can be applied to a cloud server technical scene. According to the embodiment of the invention, at least one target application is determined from applications deployed in a server according to configuration information sent by a terminal; a target task is searched in the tasks of the target application, the target task comprises an updating task, and the updating task comprises an updating character string; generating editing operation information corresponding to an editing distance according to the editing distance between the updated character string and the historical character string; and determining snapshot difference information, wherein the snapshot difference information is used for generating a current application snapshot of the target application according to the historical application snapshot. In the embodiment of the invention, only the change part of the application is recorded through the snapshot difference information, so that the generation efficiency of the application snapshot can be remarkably improved, and the change information of the application can be accurately recorded through the snapshot difference information so as to accurately capture the change condition of the application.

The invention discloses a soil-water characteristic curve pressure plate instrument and a testing method, and relates to a soil-water characteristic curve pressure plate instrument which adopts a horizontal measuring tube, a newly designed upper gland and porous stone structure, a proportional valve and a PLC to apply air pressure step by step, and a testing method for testing a soil-water characteristic curve by using the soil-water characteristic curve pressure plate instrument. High-precision automatic control of stress loading in the test process and accurate measurement and recording of the consolidation displacement are realized; the influence of a position water head on the displacement in the dehumidification process and the water absorption in the moisture absorption process is overcome by adopting the horizontal measuring tube and setting the central height of the horizontal measuring tube to be consistent with the central height of the soil sample; the problem that the water discharge amount of the soil sample is small due to the influence of the position water head in the moisture discharge measurement process can be avoided, the problem that the water absorption amount of the soil sample is large due to the influence of the position water head in the moisture absorption measurement process can also be avoided, and the test precision and the test efficiency are improved.

The invention discloses a bow net offline electromagnetic interference multichannel data acquisition and analysis method and device, and belongs to the technical field of electromagnetic interference test and analysis. A transient electromagnetic signal of pantograph-catenary discharge is acquired through cooperation of multiple antennas, multiple probes and multiple channels, and strict alignment of multi-source data under the same discharge event is realized through unified triggering and time base line unification; in the off-line stage, denoising, feature extraction and multi-event statistical modeling are carried out on data generated by triggering, so that multi-path and multi-mode electromagnetic characteristics of pantograph-catenary discharge and statistical laws of the multi-path and multi-mode electromagnetic characteristics of pantograph-catenary discharge are obtained; the device comprises a data acquisition unit, a synchronous trigger unit, an analysis processing unit and an interactive display unit, and can improve data processing efficiency and analysis depth while ensuring high sampling rate and broadband coverage; the device solves the problems of insufficient space coverage, poor synchronism and limited analysis capability in the existing pantograph-catenary discharge test, and is suitable for pantograph-catenary discharge mechanism research, electromagnetic interference evaluation and related engineering application.

The invention relates to the technical field of life cycle traceability, in particular to a full life cycle traceability system and method based on intelligent washing. The method comprises the following steps: acquiring washing clothes and user information, generating an RFID identification code, binding the RFID identification code with the user information, creating a user-clothes binding relationship, performing digital mirror image copying on the binding relationship, generating a clothes data file in combination with a database chain technology, and predicting the service life of the clothes by analyzing clothes state data and predicting the service life of the clothes. And making a personalized washing plan. And executing the washing plan and monitoring the washing result, and finally updating the clothes data file according to the washing effect to generate a washing traceability file. According to the invention, safer and more accurate full-life-cycle traceability operation is realized.

The flexible wearable blood flow velocity and pulse detection device and method are low in cost, high in universality, high in integration level and convenient to use. The detection device comprises an annular flexible substrate (1) which can be wrapped and worn, wherein a plurality of laser diodes (2), a plurality of piezoelectric transducers (3), a light intensity detector (4) and a signal processing PCB (5) are arranged on the flexible substrate; the method comprises the following steps: step a, the detection device is started to work, laser emitted by the laser diode is conducted to tissue, and the laser is scattered in the tissue; b, the piezoelectric transducer detects ultrasonic waves scattered by particles in the blood vessel and transmits the ultrasonic waves into the signal processing PCB, and the flowing speed of the blood is calculated; c, the light intensity detector detects the light reflected by the tissue, the light intensity change is converted into an electric signal, an AC signal is output, and therefore the heart rate is calculated according to the number of wave crests. The method is applied to the technical field of human health monitoring.

The invention relates to the technical field of artificial intelligence, and discloses an intelligent accompanying robot based on elderly nursing, and the robot is controlled by an accompanying control system. The accompanying control system is composed of a health monitoring module, a communication interaction module, a schedule management module, a risk identification and feedback module, a movement and navigation module, a memory storage module, an automatic intervention module and a risk response module. The robot supports the natural language processing technology, simple daily dialogues are carried out, basic communication requirements of the elderly are met, the elderly can feel accompanying and caring through voice dialogues, the loneliness is reduced, abnormal conditions in health data are automatically recognized and reported to family members, the family members can quickly deal with potential health problems, and the service life of the elderly is prolonged. Feedback and intervention can improve the sense of security of the elderly, avoid long-time isolation, and achieve the beneficial effect that the family member end control system is added to solve the problem of emotional communication of the elderly.

The invention relates to a spraying dust-settling effect testing system, and the system comprises a testing platform main body which is internally integrated with a liquid storage tank and an automatic spraying parameter collector, and is used for automatically monitoring the water pressure and flow in a spraying process; the moving mechanism comprises moving wheels and is convenient for the test platform to move; the sampling mechanism is composed of a sampling box, a communication assembly and a sampling head and is used for collecting dust in the air; the air extracting pump and the constant-flow adjusting controller are respectively used for extracting an air sample and adjusting the air flow speed to be constant; the exhaust mechanism is used for exhausting sampled air through an exhaust pipe; the atomizing and spraying mechanism comprises an atomizing nozzle and a water supply pipe and is used for atomizing liquid and spraying the liquid to the space to be detected for dust falling. The system may also comprise additional structures such as a direction-adjustable sampling mechanism, a plurality of atomizing nozzles, a fixing clamp, a liquid inlet valve for controlling external liquid to enter the liquid storage tank and the like.

The invention discloses a single-pile horizontal load test device and method, and belongs to the technical field of building pile foundations, the single-pile horizontal load test device comprises a load test platform, a counter-force support, a horizontal loading device, a cylindrical pile template and a deformation measuring device, the cylindrical pile template and the deformation measuring device are installed on the upper side of the load test platform, one end of the horizontal loading device is connected with the counter-force support, the other end of the horizontal loading device horizontally extends towards the side where the cylindrical pile formwork is located, the cylindrical pile formwork is used for cast-in-place forming of the rotary excavating cast-in-place pile in the vertical direction, and the horizontal loading device is used for applying horizontal loads to the rotary excavating cast-in-place pile. The deformation measuring device is used for measuring the deformation of the rotary excavating cast-in-place pile; the horizontal loading device comprises a hydraulic jack, an output rod, a rod sleeve, a supporting rod and an arc-shaped supporting piece, the surface stress of the rotary excavating cast-in-place pile is optimized, stress concentration can be avoided, and therefore accurate and beneficial test data are provided for subsequent horizontal load tests.

The invention discloses an ultra-wideband positioning navigation and path planning method for unmanned equipment in a special space, and relates to the technical field of ultra-wideband positioning, and the method comprises the steps: obtaining an ultra-wideband positioning base station deployment scheme, and deploying a plurality of ultra-wideband positioning base stations in the special space; an ultra-wideband communication module provided with an ultra-wideband positioning navigation system is additionally arranged in an advancing control system of the unmanned equipment; the ultra-wideband positioning navigation system measures the time from the signal to the ultra-wideband positioning base station by adopting a time difference of arrival method, determines the distance from the unmanned equipment to the ultra-wideband positioning base station, and generates real-time position information of the unmanned equipment; performing path planning and advancing control on the unmanned equipment according to the real-time position information based on a path planning algorithm; the operation data in the operation process are collected in real time and are stored and transmitted, so that the application limitation of a traditional positioning navigation system in a special environment can be solved, accurate positioning navigation and path planning of the unmanned equipment are realized, and the operation capability and efficiency of the unmanned equipment are improved.