257 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 discloses a self-adaptive homeward voyage positioning system of a high-altitude operation mooring unmanned aerial vehicle, which relates to the technical field of unmanned aerial vehicles and comprises a data acquisition unit, a control analysis unit and a homeward voyage execution unit. In the aspect of safety, accurate return flight, reasonable trajectory planning in the high-rise stage and stable state adjustment in the low-rise stage are guaranteed through hierarchical control analysis, and the collision and falling risks are reduced. In the aspect of adaptability, the layered landing strategy deals with different heights, the high layer pays attention to preliminary adjustment, and the low layer flexibly controls the speed and direction and adapts to various initial heights; the real-time update instruction can cope with environmental changes, such as airflow interference and the like. In terms of operation efficiency, efficiency is improved through hierarchical planning, unnecessary adjustment is reduced, and homeward voyage time is shortened; the control instruction is automatically generated, the operation process is simplified, the burden of operators is relieved, the human error risk is reduced, the operation efficiency is improved, and meanwhile it is ensured that the unmanned aerial vehicle safely and stably completes the homeward voyage task.

The present invention discloses an intelligent analysis control system and method for an anchor bolt machine, and relates to the technical field of intelligent analysis control; the intelligent analysis module, the intelligent inner wall analysis module, the intelligent tension analysis module and the control execution module are included; in order to solve the problems of human error and waste of resources, low construction efficiency and insufficient precision and potential safety hazards in the existing intelligent analysis control system for anchor bolt machines, the present invention uses an intelligent analysis module to monitor the drilling difficulty coefficient, inner wall friction coefficient and anchor bolt predicted tension in the drilling process in real time, and can dynamically adjust the drilling length, anchor bolt length and grouting pressure, so as to achieve precise control; intelligent adjustment can avoid human errors, reduce unnecessary adjustments and waste of resources during the construction process, and timely optimize parameters according to actual construction conditions to ensure that the best construction efficiency is achieved in each stage; through intelligent analysis, the overall construction period can be significantly shortened, and the controllability and adaptability of the project are improved.

The invention discloses a logistics remote control method and system based on virtual reality, relates to the technical field of logistics transportation management, and reduces the possibility of human errors through automatic encasement scheme generation and path planning. The system automatically calculates and generates a boxing scheme according to goods characteristics and loading constraints, and the risk of manual operation errors is avoided. And if the efficiency evaluation index is higher than 0.8, the system confirms that the current scheme is the optimal scheme. The trajectory planning module combines the anchoring position of the target ship and the container yard position, generates a plurality of paths by using a dynamic path planning method, and calculates a trajectory coefficient and transportation time. The path planning method based on real-time data can flexibly cope with sudden changes in the transportation process, the transportation time is shortened, and it is ensured that tasks are completed in time. The dynamic path planning module can adjust the path and the position of a hoisting point in real time, and collision or other potential safety hazards possibly occurring in the operation process are avoided.

The invention discloses a chassis fault intelligent diagnosis method and system, and relates to the technical field of fault diagnosis. The method comprises the following steps: constructing a chassis part fault knowledge graph to form multi-tuple information; obtaining target diagnosis information generated by the target fault according to the multi-element group information, and identifying a fault severity level based on the LSTM network and the target diagnosis information; and sorting the fault severity levels, performing reliability evaluation on the target diagnosis information with the higher fault severity level, and handling the target fault according to the target diagnosis information when the reliability evaluation meets a preset requirement. According to the method, on the basis of establishing the knowledge graph, a disposal scheme is given through the fault severity level and reliability evaluation, the accuracy and efficiency of fault diagnosis are improved, and human errors are reduced.

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 present invention relates to systems and methods for intelligently optimizing supply chain is provided. In particular, the systems and methods provide the capability to configure supply chain systems so as to: balance between cost and service is optimised and profitability maximised; configure system parameters to respond to both current and future risks; ensure that variability is built into plans enabling maximised efficiency; and human error and bias are eliminated from the planning process such that pro-active rather than reactive behaviour becomes the norm.

The invention relates to a virtual space boundary early warning method, which comprises the following steps of: 1, defining a virtual boundary by taking an electric power facility as a center; 2, tracking the position of the monitored object in the monitored area; 3, based on a boundary detection algorithm, the shortest distance between the monitored object and the virtual boundary is judged; and step 4, performing early warning and warning for the shortest distance between the monitored object and the virtual boundary. According to the invention, through real-time monitoring, intelligent analysis and rapid response, a layer of additional safety guarantee is provided for operation and maintenance of electric power facilities, human errors and accidents are reduced, and stable operation of an electric power system and life safety of personnel are ensured.

The invention provides a nuclear power design file verification method, system and device and a medium, and the verification method comprises the steps: obtaining a to-be-verified file, and extracting the metadata of the to-be-verified file; based on the metadata, performing static rule check on the to-be-checked file to generate rule check data; performing dynamic technical check on the to-be-checked file through a preset check model to generate technical check data; and generating file verification data based on the rule check data and the technical check data, and performing graded early warning prompt based on the file verification data. According to the method, the file quality and compliance are remarkably improved, the human error risk is reduced, the technical verification efficiency is improved, the responsible person is directionally pushed through graded early warning, the examination period is shortened, and the accuracy and efficiency of nuclear power engineering construction are ensured.

The invention relates to a one-key pilot well test control method and system for an oil well. The method comprises the following steps that a test instruction is received; exporting a logged well and importing a to-be-logged well according to the test instruction and the logic rule of the pilot well test; monitoring the valve on the production manifold and the valve on the test manifold in real time, and obtaining the state of the valve on the production manifold and the state of the valve on the test manifold; according to the state of the valve on the production manifold and the state of the valve on the test manifold, whether the valve on the production manifold and the valve on the test manifold act normally or not is judged; if normal, well guiding is completed; and if not, the test is stopped, and an abnormal alarm is output. On the basis of the method, one-key well guiding can be achieved, operation can be simplified, meanwhile, the response speed can be remarkably increased, the human error risk of manual operation can be avoided, the testing progress and efficiency can be improved, the safety risk can be improved, and personnel injury can be avoided.

The invention discloses a pipeline trenchless repair process, and relates to the technical field of pipeline repair, and the pipeline trenchless repair process comprises the steps of S01, trenchless detection and evaluation, S02, intelligent excavation of a construction well, S03, pipeline pretreatment, S04, intelligent CCTV detection, S05, automatic repair, S06, pipe-in-pipe insertion, S07, sealing and pressure testing, S08, pipeline connection and S09, intelligent monitoring and maintenance. The position, the length and the damage condition of the pipeline can be more accurately determined through detection such as intelligent radar detection, so that accurate data support is provided for repairing work, human errors can be reduced through an automatic repairing robot and an intelligent CCTV detection system, the precision and the consistency of the repairing work are improved, and the repairing efficiency is improved. According to the improved process, the pipe-in-pipe with intelligent materials and structural design is adopted, the complex pipeline environment can be better adapted, and the adaptability and durability of repairing are improved.

The invention discloses a test case generation method and device, equipment and a storage medium, and belongs to the technical field of software test.The method comprises the steps that original test data are obtained, data filtering processing is conducted on the original test data, and first test data are obtained; performing data conversion on the first test data to obtain second test data; inputting the second test data into a test case generation model to obtain an intermediate test case; wherein the test case generation model is obtained by training and fine tuning an initial large model through sample test data; and performing content correction on the intermediate test case to obtain a target test case. According to the method, the test case does not need to be written manually, and the influence of human errors and personal experience is avoided, so that the objectivity of generation of the test case is improved, the generation efficiency and accuracy of the test case are improved, test scenes which are possibly ignored by people in the test case are supplemented, and the comprehensiveness and accuracy of the test are improved.

The invention relates to a method for automatically judging tray defects, which comprises the following steps: carrying out data acquisition on a tray through acquisition equipment to obtain tray information, and analyzing the tray information to obtain a first image and sensing data; performing defect analysis on the first image through a preset convolutional neural model to obtain first defect information, and marking the first defect information on the first image to obtain a marked image; performing feature extraction on the sensing data to obtain sensing feature data, and performing defect analysis on the sensing feature data through a preset feature algorithm to obtain second defect information; and analyzing the marking image according to the second defect information to obtain third defect information, and performing defect marking on the corresponding tray according to the third defect information. According to the invention, the accuracy and efficiency of detection can be improved, the requirements of manual operation are reduced, personal errors are reduced, and manpower and time costs are saved.

The invention relates to an SF6 liquefaction risk judgment method based on a neural network. The SF6 liquefaction risk judgment method comprises the following steps: step 1, acquiring data of electrical equipment and a nearby environment; 2, constructing features based on the collected data; 3, constructing a neural network model, and carrying out training and parameter adjustment through features; 4, ensuring the generalization ability of the model by using a cross validation technology; 5, deploying the neural network model, and predicting the SF6 liquefaction risk; and 6, regularly collecting new data and retraining the model to adapt to environmental changes. According to the invention, through real-time monitoring, intelligent analysis and rapid response, a layer of additional safety guarantee is provided for operation and maintenance of electric power facilities, human errors and accidents are reduced, and stable operation of an electric power system and life safety of personnel are ensured.

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.

The embodiment of the invention provides a consumable replacement method and device for an automatic process and a storage medium. The method for replacing the consumables of the automatic process comprises the steps that whether the consumables need to be replaced or not is determined according to whether a first instruction from an automatic device used for executing the automatic process is received or not or according to operation steps in the automatic process, and the consumables are gradually consumed in the execution process of the automatic process; and under the condition that the consumables need to be replaced, a second instruction is sent to the control device, so that the control device drives and controls the execution device to replace the consumables. Therefore, automation of consumable replacement is achieved, manual participation is not needed, the operation efficiency is improved, human errors are avoided, and the workload and potential safety hazards of workers are reduced.

The invention relates to a nuclear power plant emergency facility residence judgment method and system, a storage medium and electronic equipment. The nuclear power plant emergency facility residence judgment method comprises the steps that a nuclear power plant emergency facility residence judgment mode is determined according to a selection instruction; the residence judgment mode comprises any one or more combinations of a radiation monitoring-based mode, an accident source item-based mode and an air sampling-based mode; if the judgment mode is any one, a residence judgment result and / or a protection action suggestion are / is given based on the selected judgment mode; and outputting a target residence judgment result and / or a target protection action suggestion based on the residence judgment results of the multiple combinations if the target protection action suggestion is the multiple combinations. According to the method, external irradiation can be judged, contribution of an internal irradiation path can be evaluated, an automatic mode is adopted, the judgment efficiency is improved, human errors can be avoided, the reliability and accuracy of a judgment result are improved, and the reasonability of personnel protection action decisions in emergency facilities is improved.

The invention provides a method and system for building a flight control computer simulation test system, and belongs to the technical field of aircrafts, and the method comprises the steps: building a structured simulation test knowledge base of an aircraft; a flight control semi-physical simulation test environment and an intelligent agent for operating and sensing the flight control semi-physical simulation test environment are established, and the intelligent agent is formed through training of a structured simulation test knowledge base of the aircraft; building a sensing layer, a decision layer, a memory layer and an execution layer for the intelligent agent to form a flight control simulation intelligent agent; and physically connecting the flight control semi-physical simulation test environment with the flight control simulation agent to form a flight control computer simulation test system. According to the invention, the flight control simulation intelligent agent is used for carrying out test design, test execution control and result analysis on a flight control semi-physical simulation test environment, so that the purpose of autonomously completing a simulation test without relying on manpower is achieved, the influence of introduction of human errors is avoided, and the reliability of a simulation test result is improved.

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 present invention belongs to the instrumentation and control technology of nuclear power plants, and specifically relates to a safe and efficient method for testing the protection channel of a nuclear power plant turbine, including optimizing the transmission of the trip protection channel and designing the test logic configuration of the trip protection channel; optimizing the transmission of the trip protection channel means changing all trip protection signals across platforms and controllers from network transmission to hard-wired transmission; designing the test logic configuration of the trip protection channel means adding a test logic function design to the digital configuration. This method greatly reduces the risk of human error during the channel test, avoids degradation of the protection channel, reduces the manpower and time costs in the work, and saves the critical path of overhaul. Starting from the optimization of the transmission mode of the trip protection channel and the design of the channel test logic, the first turbine protection channel test of a domestic nuclear power project was realized.

To provide an abnormality determination device that improves reliability of input data by appropriately notifying a party concerned when a human error or a malicious falsification or tampering in data input is suspected.SOLUTION: An abnormality determination device, which determines an abnormality in data input to a computer, includes: a trained model management unit that manages a trained model related to a procedure or contents of an operation in the computer; an abnormality determination unit that determines, on the basis of the trained model, the abnormality in the operation of the computer; and an output unit that outputs a determination result from the abnormality determination unit.SELECTED DRAWING: Figure 3

The application discloses a kind of nuclear power plant dismounting steam generator water chamber primary side stop board during probability safety evaluation method, this method is by defining the boundary condition and duration of MID-LOOP working condition, ensure the accuracy of analysis object;Further through the fusion originating event screening, the intervention time window (success / failure criterion) of safety system is determined by thermal-hydraulic calculation, and personnel reliability analysis, constructs the comprehensive probability safety analysis logic model including safety system failure and human error.Can quantitatively calculate the core damage frequency and uncertainty under this special working condition, so as to fill the gap of refined risk assessment under the condition of specific low water level during refueling overhaul, provide quantitative basis for nuclear power plant optimization overhaul schedule and safety management.

The invention relates to the technical field of power production safety management, and discloses an intelligent management and control system suitable for power field operation safety. The theoretical basis of the method is that safety operation = creation and maintenance of safety and operation conditions + zero error of people. Comprising a field operation risk analysis module, a safety reminding and checking module, a positioning tracking module, a monitoring analysis module, a training education module and a data management module. A function of automatically acquiring work ticket and work ticket information by associating the work ticket and the work ticket; through operation risk analysis, dangerous point identification and management and control measure functions are realized; safety reminding of an operator is realized through a voice function; an intelligent audio and video system is utilized to monitor an operation site in an omnibearing and dead-corner-free manner, unsafe behaviors of people, unsafe states of equipment and unsafe factors of the environment are accurately recognized, and an audible and visual alarm is given out in time; and a self-learning function is integrated with historical records to continuously perfect an operation dangerous point identification management and control database, and safety training data is perfected.

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.