119 results about "Human error" patented technology

The invention discloses a substation operation and maintenance task risk digital assessment method and system, and belongs to the technical field of task risk digital assessment, and the method comprises the steps: carrying out the hidden risk dominant modeling based on the structural data of a data lake, generating a personnel and equipment dynamic coupling risk coefficient, and carrying out the hidden risk dominant modeling; the space-time diagram neural network captures a personnel-equipment-environment coupling relationship by fusing spatial topology and time sequence features, the model can be associated with a historical fault mode of adjacent equipment, potential risks are identified in advance, and the causal model can identify the potential risks in advance by calculating causal strength between nodes and revealing hidden risk driving factors. The attention weight mechanism dynamically adjusts the fusion proportion of the space and time features, the method adapts to the complex scene of the transformer substation, the dynamic coupling risk coefficient is combined with the frequency and similarity of the historical accident library, the risk weight is quantified, and the probability of artificial misjudgment is reduced.

The invention discloses a laboratory whole-process intelligent management and control system based on AI and Internet of Things fusion, which relates to the technical field of laboratory management and comprises an equipment access unit, a central decision unit and a business application unit. According to the system, a risk model library and a real-time risk map can be constructed through the risk assessment module, accident risks caused by human errors are reduced through the real-time risk map, automatic emergency disposal and personnel behavior compliance monitoring, and when the equipment operation and maintenance module detects that the equipment is abnormal, predictive maintenance can be automatically carried out, so that the downtime is shortened, and the maintenance efficiency is improved. The resource scheduling module can be used for optimizing the inventory and scheduling the equipment, and carrying out global allocation based on an inventory sharing model, so that resource idleness is reduced through cross-courtyard inventory sharing, resource sharing is facilitated, cross-courtyard collaboration is completed, and the situation that data cannot be synchronized due to independent inventory management of each courtyard is avoided; and further, global optimization can be realized.

The invention relates to an automatic interface test management method and device, equipment and a medium, and the method comprises the steps: obtaining an interface document of a to-be-tested interface, carrying out the analysis of the interface document, generating interface case data containing the primary configuration content of an interface case, and transmitting the interface case data to a server; performing execution grouping on the interface cases configured with the input parameter value set, generating a case execution group based on interface grouping information and a preset test execution strategy, setting an execution sequence and an exception handling rule for the case execution group, and generating a corresponding execution link at the same time; calling an execution link based on the trigger request to sequentially use each group of request content execution cases in the input parameter value set to execute the interface cases in the group, and generating corresponding case execution results; high automation and intelligentization are achieved in the whole interface test process, manual intervention is remarkably reduced, the test coverage rate is increased, the problem response speed is increased, and therefore the working efficiency of testers is effectively improved, and the human error risk is reduced.

The invention relates to the technical field of large language models, in particular to a large language model anti-seismic report examination method and device based on domain knowledge enhancement, and provides a large language model anti-seismic report examination method based on domain knowledge enhancement. The method comprises the steps that firstly, a building earthquake-proof professional field large language model is trained, then data preprocessing is conducted on an earthquake-proof examination report, and finally examination is conducted on the basis of the trained building earthquake-proof professional field large language model, so that accumulated earthquake-proof special examination experience and the large language model are fused, and a professional LLM of the vertical field is built; strict examination can be carried out according to standards and files, interference of human errors and subjective factors is effectively avoided, accuracy and reliability of examination results are improved, examination efficiency is improved, a more scientific and accurate basis is provided for expert examination and internal pre-examination, the earthquake resistance and disaster prevention capacity of a construction project is further improved, and the earthquake disaster risk is reduced.

This invention belongs to the field of online water filling technology after nuclear power plant heat exchanger maintenance, specifically relating to an online water filling system for nuclear power plant heat exchangers after maintenance. The invention includes a No. 1 heat exchanger and a No. 2 heat exchanger, which are connected in parallel via pipelines. The inlet ends of the parallel pipelines form two parallel loops: a flow loop and a bypass loop. It also includes a No. 1 cooling water pump and a No. 2 cooling water pump, which are connected in parallel. One end of the parallel loop of the No. 1 and No. 2 cooling water pumps is connected to the outlet end of the parallel pipeline of the No. 1 and No. 2 heat exchangers, and the other end is connected to the bypass loop via a user connection to the cooling water system. This invention can reduce the risk of human error during online water filling of nuclear power plant heat exchangers after maintenance, and improve the safety and reliability of the heat exchanger filling process.

The invention discloses a flight plan automatic filling method and device for an electronic flight bag. The method comprises the following steps: extracting waypoint information of an original flight path from an original flight plan; acquiring a real-time position of the aircraft based on a preset time period; based on the real-time position and the waypoint information, determining a flight leg of the aircraft at the current moment through a preset leg discrimination algorithm; based on the flight segment, determining a newly added passed waypoint and a pre-flight waypoint of the aircraft; updating the state information of the newly-added passed waypoint into a passed state, and recording updating time; and based on the update time, filling the actual arrival time of the newly added passed waypoint in the flight plan electronic form, and correcting the predicted arrival time of the pre-flight waypoint. According to the method, the actual arrival time of the current waypoint in the flight plan can be automatically filled in, and the predicted arrival time of the next waypoint can be automatically corrected, so that the operation burden of flight crew is effectively reduced, and human errors are reduced.

1. The name of the design product: grip sensing type anti-dropping tool handle kit. 2. The use of the design product: By increasing grip monitoring, the active warning function avoids relying solely on the attention of the operator, reducing human error, and even if an error occurs, the operator can be reminded in the first time. Even if it falls in the work site, the tool can be quickly found through vibration sound and warning red light. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention belongs to the technical field of nuclear power plant operation management, and particularly relates to an accident diagnosis general regulation automatic execution and online updating method and device, and the method comprises the steps: S1, carrying out the standardized analysis of an input DEC regulation design file, and outputting a DEC regulation analysis file; the DEC regulation analysis file comprises the extracted node object and the node criterion condition thereof, and a basic version expression of the generated node object described according to the node criterion condition. And S2, processing the DEC regulation and the DEC regulation analysis file into a picture file and a data object file which can be displayed and processed in the KIC system, and issuing the picture file and the data object file to the KIC system. And S3, carrying out online updating on the DEC regulation picture. Under a KIC software framework, the DEC regulation is processed in a standardized, digital and intelligent mode, the problem that the accident regulation of an original DCS two-layer KIC system has the possibility of human errors is solved, and meanwhile the accuracy of the regulation is guaranteed through online updating.

The invention discloses a control method and system for sodium hydrosulfite synthesis and electronic equipment, and the control method comprises the following steps: a production starting instruction is obtained, and the production starting instruction comprises control configuration of a pretreatment stage, a feeding stage, an absorption liquid stage, a heat preservation stage, a large charging stage, a small charging stage, a cold charging stage and a discharging stage. By acquiring the production starting instruction and controlling the operation of each stage according to the preset configuration, the automation of the production process is realized, human errors are reduced, and the strict requirement on highly concentrated spirit of operators is lowered. Operating parameters of each stage can be accurately controlled according to a preset program, and product quality fluctuation caused by unstable operation in a traditional process is avoided. The operation parameters and the feeding sequence of each stage are automatically executed according to the preset configuration, the whole process is provided with safety alarm and termination and abnormity handling programs, the reaction process is continuous, smooth and safe, shutdown waiting or human errors are avoided, and the overall production efficiency and safety are improved.

An Artificial Intelligence Co-pilot method and systems that encompasses a range of advanced technologies and methodologies, all focused on enhancing flight safety and efficiency. By integrating AI into the cockpit, we can significantly reduce the potential for human error and empower pilots to make better, more informed decisions in real-time. The AI Co-Pilot System is a sophisticated solution designed to support human pilots to Aviate, Navigate, and Communicate and in managing aircraft operations by processing voice commands and inquiries. It employs advanced (CHATGPT) Natural Language Processing (NLP) and Human-Machine Interface (HMI) technologies to establish seamless interaction between the pilot and the aircraft system, ultimately enhancing navigation, safety, and overall flight performance.

The invention relates to the technical field of safety control of thermal equipment, in particular to a boiler self-checking system and a waste heat boiler, and the boiler self-checking system comprises a state recognition module and a dynamic logic verification module. A safety logic rule matched with the initial thermal state judged by the state recognition module is called, conformity verification is carried out on the real-time state or operation logic of related execution elements of the boiler, and when verification is not passed, a control instruction is output to limit the starting process or give out an alarm; according to the method, a closed loop of state recognition, dynamic logic matching and safety verification is constructed, dependence on human experience is reduced, safety accidents caused by human errors are effectively avoided, matching of safety measures and actual working conditions of the boiler is ensured through intelligent state self-adaption, and the starting and running safety of the boiler is improved.

The invention relates to the field of building information models and intelligent operation and maintenance, in particular to a pipeline collision emergency processing system for BIM operation and maintenance. The system comprises a data fusion module, a risk simulation module, a guide execution module and an optimization learning module. The data fusion module receives the emergency event and obtains real-time operation data of the emergency event; the risk simulation module constructs a fault propagation model based on the real-time operation data, and generates a processing instruction sequence based on the fault propagation model; the guide execution module is used for disassembling the processing instruction sequence into guide steps which are executed in sequence, and executing the guide steps through a context checking and locking mechanism; the optimization learning module constructs an emergency event library and performs case matching in the emergency event library when a new emergency event occurs; according to the invention, dynamic simulation of fault propagation and operation guidance of emergency processing are realized, the accuracy of emergency decision making is improved, the manual operation risk in an emergency environment is reduced, and the safety of operation and maintenance personnel and equipment is guaranteed.

The invention provides a horizontal adjustment monitoring method and device, and the method comprises the following steps: selecting at least three detection points on an assembly line or a product assembly, and at least three of all detection points are located on a non-same straight line; moving the distance measuring piece to enable the distance measuring piece to detect each detection point, and recording an actually measured distance value D between each detection point and the distance measuring piece; and adjusting the height of the assembly line according to the actually measured distance value D and the required distance value S of each detection point until the assembly line is in a horizontal state. According to the horizontal adjustment monitoring method and device, horizontal adjustment can be automatically carried out on the assembly line, the adjustment precision is high, and the risk of manual misjudgment is avoided; the automation degree of horizontal adjustment of the assembly line is high, operation is easy, the work workload is reduced, and meanwhile the production efficiency is improved. Real-time monitoring of the horizontal state of the assembly line can be achieved, automatic correction is achieved, problem points on the assembly line are avoided in advance, and the reliability of the assembly line is improved.

The invention discloses an intelligent operation and maintenance method and system based on an AI large model, and relates to the technical field of artificial intelligence, and the method comprises the steps: collecting multi-source operation and maintenance data of an electric power information system; performing preprocessing and feature fusion; inputting a pre-trained electric power operation and maintenance large model to carry out alarm aggregation, fault prediction and operation compliance analysis; and automatically executing operation and maintenance operation according to an output result. The system correspondingly comprises four layers of architectures of data acquisition, processing, model training and application. According to the method, alarm intelligent noise reduction (the efficiency is improved by 96%), terminal predictive maintenance (the repair time efficiency is improved by 75%) and operation real-time safety protection (illegal operation zero occurrence) are realized through an AI large model, and the problems of low alarm processing efficiency, fault pre-judgment deficiency, high artificial misoperation risk and the like in traditional operation and maintenance are effectively solved; and the operation and maintenance automation level and the system reliability are obviously improved.

The application discloses a kind of based on Excel table's multi-table selling equipment remote operation management method, by in management platform preset parameter column of identifying Excel table data, centralizedly fill in the parameter information of multiple equipment to be managed uniformly, operating personnel need not on-site or individually operate each equipment, in management platform processing table data can batch configuration update, reduce operation time and workload, improve management efficiency;Second, management platform can quickly identify table parameter and generate, issue configuration update information, efficient data mechanism makes equipment timely response demand, reduces waiting time, preset parameter column makes parameter setting specification standard, reduces human error probability;Moreover, based on the management mode of Excel table, parameter modification information is recorded in detail, has traceability, is convenient for problem troubleshooting, operation supervision, further guarantee operation accuracy and standardization, reduce human error.

The present application relates to a kind of damage positioning method and system for belt flaw detection, belong to image data processing and visual identification field.The present application is realized to the efficient, accurate identification of the damage of belt surface by deep neural network algorithm;The proposed edge detection method saves computing resources;Realize highly automated damage detection and positioning, reduce artificial intervention and human error;Combined with line array camera, speed sensor and specific marker, accurately position the damage location, so that damage location mapping is more reliable, it is convenient for maintenance personnel to repair in time, accurately;The present system can work stably under complex environmental conditions, overcome the problem of positioning failure caused by factors such as numbering missing, poor lighting, improve the reliability of detection;Compared with the damage positioning method based on numbering, the damage positioning method of the present application can provide specific damage location according to the reference around the belt, avoid maintenance personnel to find damage location after shutdown.

The invention relates to the technical field of drilling engineering, and discloses a drill rod landing detection method, device and system, a lifting drill floor and a storage medium. The method comprises the steps that the numerical value of lifting force needing to be generated by the drill rod landing detection system is determined, and the lifting force is smaller than the gravity of a drill rod; according to the numerical value of the lifting force, the drill rod landing detection system is adjusted to generate the corresponding lifting force, and the position of an oil cylinder piston rod in the drill rod landing detection system is recorded; and when the piston rod of the oil cylinder generates displacement of a preset threshold value, determining that the drill rod falls to the ground. The landing state of the drill rod is accurately recognized by automatically detecting the displacement change of the piston rod of the oil cylinder, the landing state of the drill rod can be automatically and accurately recognized, manual judgment errors are avoided, and operation safety and continuity are improved.

To provide a visual confirmation device for the locking status of Ferris wheel gondola doors, which can improve safety through human confirmation and reduce human error by introducing visual confirmation work by workers. [Solution] The system is equipped with a locking device 120 that is positioned above the door 210 and locks the door when the first locking member on the gondola 200 side and the second locking member on the door side are grounded, a handle that is positioned on the outside of the door and has a grip lever that moves the second locking member, allowing the door to be opened and closed, and a visual confirmation unit that is positioned between the locking device and the handle and allows workers to visually check the locking status of the door from outside the Ferris wheel gondola, making it easy to distinguish between locked, semi-locked and unlocked states, which has the effect of significantly reducing the risk of accidents due to sensor malfunctions or human error.

The invention provides a sampling device and a sampling method, relates to the technical field of mining material sampling, and aims to solve the problems of coverage blind areas, personal errors, low efficiency, high labor intensity and poor working environment of a traditional manual sampling mode to a certain extent. The sampling device provided by the invention comprises a stand column, a first cantilever, a second cantilever, a mast and a spiral sampling mechanism, the first end of the first cantilever is rotatably connected to the top of the stand column; the first end of the second cantilever is rotatably connected to the second end of the first cantilever; the top of the mast is connected to the second end of the second cantilever; the mast comprises a lifting mechanism, and the spiral sampling mechanism is connected with the mast through the lifting mechanism and can ascend and descend along the mast through the lifting mechanism; the spiral sampling mechanism comprises a sampling driver, a spiral sampling head and a sampling assembly, the output end of the sampling driver is connected with the spiral sampling head, and the sampling assembly is used for collecting materials lifted and collected by the spiral sampling head.

Embodiments provide an animated graphical user interface for simultaneously monitoring multiple autonomous aircraft. More specifically, the technology disclosed herein provides a GUI that enables one-to-many management, such that a remote administrator (e.g., human or artificial intelligence) can continuously monitor and / or interact with multiple autonomous aircraft. For example, the autonomous aircraft may include one or more autonomous electric vertical take-off and landing (eVTOL) aircraft. Embodiments provide a command input system and techniques that reduce human error by assigning input mechanisms and command input menus to unique flight parameters.

The invention discloses an automatic test method and system for checking basic functions of SPN (Serial Peripheral Network) equipment. According to the method, related instruction information is transmitted through communication with SPN equipment in an external system according to related instruction information, input by a user interface module, for testing the SPN equipment; obtaining a test result returned by the SPN equipment according to the related instruction information; analyzing according to the test result and an expected test result to obtain a test analysis result; and returning the test analysis result to a test analysis result display interface in the user interface module. According to the invention, the test efficiency can be improved, human errors can be reduced, and the technical effects of visually displaying test results and problem information can be achieved.

The invention belongs to the technical field of nuclear power, particularly relates to a risk guidance type pipeline degradation mechanism analysis method and device, and enables the work of risk guidance type pipeline degradation mechanism analysis to be converted into automatic analysis from manual analysis. The automatic data acquisition function can acquire real-time pipeline data information of the nuclear power plant in a one-button manner according to analysis requirements, the data acquisition range is wide, and manual screening is not needed; according to the automatic analysis and calculation process method, it is guaranteed that all unnecessary simplified assumption conditions set due to human error deviation and large data volume can be avoided in risk guidance type pipeline degradation mechanism analysis, and then objective and accurate analysis results are guaranteed. Data of key information required by risk-oriented pipeline degradation mechanism analysis of a system, a pipeline, a welding seam and the like are automatically captured, a risk-oriented pipeline degradation mechanism judgment criterion is automatically quoted, a calculation engine is associated with the data information and the degradation mechanism judgment criterion for automatic calculation, and a risk-oriented pipeline degradation mechanism analysis result is automatically output.

The embodiment of the invention provides a metering automation calibrating device and system supporting multiple platforms. In one specific embodiment, the device comprises an instruction library module, a verification item library module, a document template library module and an execution module, according to the implementation mode, through the instruction library, the verification item library and the document template library, traditional code development is converted into visual configuration, the technical threshold is greatly lowered, the development period is greatly shortened, and a user can flexibly customize regulations, instruments and reports. The system execution module automatically drives the whole process from instrument control to report generation, efficiency is improved, manual errors are avoided, and accuracy and reliability of results are guaranteed. Meanwhile, the system supports diversified hardware and an operating system platform, the problems of technical dependence, safety risks and compatibility are effectively avoided, and a foundation is laid for achieving autonomous controllability of metrological verification tools.

The mine bearing transfer device comprises a supporting frame, a transverse conveying set is arranged above the supporting frame, a lateral clamping piece is arranged on the transverse conveying set, the lateral clamping piece is composed of a moving set and a material hanging set, and the material hanging set comprises a hanging frame bin, a lifting adjusting piece, a hanging piece, a front-back adjusting piece and an upper clamping base. According to the lifting device, the accurate guide rail (13) is matched with the guide wheel set on the moving set, stable and accurate positioning in the horizontal direction is achieved, the material carrying time is shortened, the material carrying efficiency is improved, and the material carrying efficiency is improved. The limiting step part can be tightly attached to the appearance of the bearing, stable support is provided, the bearing is effectively prevented from sliding or falling off accidentally in the machining or carrying process, the accident risk is reduced, the requirement for manual intervention is reduced, and therefore potential safety hazards caused by human errors are reduced.

The invention provides a nuclear power station security monitoring method and device, and the method comprises the steps: monitoring a nuclear power station, so as to obtain the multi-modal data of a moving object; performing first analysis on the multi-modal data to determine whether the behavior of the moving object is an abnormal behavior; under the condition that the behavior of the moving object is determined to be an abnormal behavior, performing second analysis on the multi-modal data, and determining a danger level of the behavior of the moving object; and performing safety protection on the nuclear power station according to the danger level. On one hand, safety protection of the nuclear power station can be automatically and intelligently achieved, the reaction capacity and accuracy of safety protection of the nuclear power station are improved, and human errors and response delay are reduced; and on the other hand, safety protection can be more targeted and hierarchical, so that resources are reasonably allocated, and safe and stable operation of the nuclear power station is effectively maintained.

The invention discloses an efficient vertical machining center BOM building method, and belongs to the technical field of machine manufacturing. The method comprises the following steps that S1, a BOM frame is built based on the modular design concept; s2, carrying out association design by utilizing three-dimensional design software; s3, establishing a BOM change management mechanism; and S4, introducing a related research and development product management informatization system. According to the method, the building efficiency is improved, a large amount of manual input work is avoided, and the BOM building time is greatly shortened; the accuracy is improved, human errors are reduced, and the accuracy and integrity of BOM information are ensured; the method adapts to design changes, can quickly respond to the design changes, timely updates BOM information, and effectively reduces production risks and cost increase caused by the design changes. Data management is facilitated, efficient management and utilization of BOM information are achieved, and data query and analysis of links such as production plan making, purchase management and cost control are facilitated.

The invention discloses an operation and maintenance operation script generation and execution method and device and a storage medium. The method comprises the steps of forming structured operation intention information based on a received voice operation and maintenance instruction, retrieving an operation and maintenance knowledge graph, generating an executable operation script in combination with a deep learning model, applying for the lowest operation authority required for executing the executable operation script, and executing the executable operation script according to the lowest operation authority. And performing pre-execution verification on the identified high-risk operation step in a sandbox environment, and running an executable operation script based on the lowest operation authority and the pre-execution verification. By forming structured operation intention information, manual conversion errors are solved; further, an executable operation script is dynamically generated based on the operation and maintenance knowledge graph and a deep learning model, and optimal practice is embedded; security is guaranteed through the lowest operation authority and sandbox environment pre-verification, and real-time decision and fault tolerance are carried out depending on an interface state, so that operation and maintenance operation standardization, experience accumulation, process auditing and human error risk elimination are realized.

This invention provides a functional architecture and method for an intelligent human-machine adaptive collaborative system in an aircraft cockpit. It features advantages such as hierarchy, modularity, and reusability, supporting detailed design of the physical architecture of the intelligent human-machine system in the aircraft cockpit and providing a technical means to achieve efficient human-machine matching and dynamic natural interaction in the aircraft cockpit. The intelligent human-machine adaptive collaborative method provided by this invention, by adjusting the human-machine interaction level, the autonomous dimension of the intelligent agent, the information processing dimension, and the task allocation dimension, and based on the decision steps of the information flow graph, can obtain the optimal intelligent human-machine adaptive collaborative solution for the aircraft cockpit. The system functional architecture and method provided by this invention can realize intelligent human-machine interaction that adapts to the pilot's physiological, psychological, behavioral state and task requirements. It can provide technical support for solving problems such as pilot cognitive load imbalance, loss of situational awareness, and frequent human errors, enhancing the pilot's situational judgment and decision-making capabilities, and optimizing the overall effectiveness of the cockpit human-machine system.

This utility model discloses a nested optical cable distribution box, including a box sleeve with a receiving cavity. A door panel is installed on the front of the box sleeve, and the back of the box sleeve is hollowed out to form an open structure communicating with the receiving cavity. The box sleeve has a cable inlet hole and an optical cable clearance notch communicating with the cable inlet hole. When the original optical cable distribution box becomes damaged due to human error or environmental reasons, it is not necessary to dismantle the entire box structure. The box sleeve of this utility model can be directly nested over the original box. The box sleeve has stronger protective capabilities, resisting external threats such as severe weather, animal bites, and human damage. When the door panel is closed, the box sleeve presents the same appearance as a new box, improving the overall aesthetics. Installation and use are convenient, and the installation process does not affect the original box's business functions.

The application provides a sampling device and a sampling method, relates to the technical field of mining material sampling, and aims to solve the problems of blind coverage, human error, low efficiency, high labor intensity, and poor working environment in the traditional manual sampling mode to some extent. The sampling device provided by the application comprises a stand, a first cantilever, a second cantilever, a mast and a spiral sampling mechanism. The first end of the first cantilever is rotatably connected to the top of the stand. The first end of the second cantilever is rotatably connected to the second end of the first cantilever. The top of the mast is connected to the second end of the second cantilever. The mast comprises a lifting mechanism. The spiral sampling mechanism is connected to the mast through the lifting mechanism and can be lifted along the mast through the lifting mechanism. The spiral sampling mechanism comprises a sampling drive, a spiral sampling head and a sampling assembly. The output end of the sampling drive is connected to the spiral sampling head. The sampling assembly is used for collecting the material collected by the spiral sampling head.