195 results about "Safety standards" patented technology

The invention discloses an engineering safety early warning method and system based on artificial intelligence real-time risk identification, and relates to the technical field of engineering safety, and the method comprises the steps: collecting scattered engineering safety data from each engineering platform in batches, and carrying out the preprocessing of the data, and constructing a dynamic database; according to the engineering safety data collected in batches, an engineering safety knowledge graph is constructed, and different risk levels are preset according to engineering safety standards. According to the method, multi-source engineering safety data are integrated, dynamically changing risk characteristics are analyzed in real time by using an AI risk identification model, the hysteresis of traditional manual inspection and static analysis is overcome, a nonlinear relationship among the risk characteristics is captured by using a random forest model through integrated learning of multiple decision trees, and the risk characteristics are analyzed in real time. And the probability values of high, medium and low risk levels are output in combination with Softmax probability normalization, so that the evaluation precision is remarkably improved, the risk features are positioned, the scientificity of risk traceability is ensured, and data-driven decision support is provided for engineering safety management.

Described herein is an apparatus and method for evaluating software performance. An apparatus may include at least a processor; and a memory communicatively connected to the at least processor, wherein the memory contains instructions configuring the at least processor to receive a software package; identify a safety standard; select an operating environment as a function of the safety standard; deploy the software package on the operating environment; operate a communication channel between a user device and the operating environment, wherein operating the communication channel comprises determining a performance metric for the software package; and displaying, at a display device having a user interface, the performance metric to a user through the user interface.

The invention discloses a double-flywheel system and an intelligent mine field system and method.The double-flywheel system comprises a sensing system and a planning system, the sensing system fuses acquired multi-dimensional environment data of a mine field through the bird's-eye view angle technology and a deep learning algorithm, a mine field 3D environment model is established, and environment sensing data is output; the planning system performs planning path prediction on each mine car by using a deep learning algorithm and a Monte Carlo tree search algorithm based on vehicle management information, task scheduling data and environment perception data fed back by the motorcade management platform, and generates an optimal driving path. The vehicle management information comprises vehicle posture and health information, vehicle position state information, vehicle operation task priority information and mine field safety standard information. According to the invention, through deep cooperation of sensing and planning and integration of motorcade management information and safety standards, the vehicles can work according to the optimal path more accurately, the working yield of the mine field is improved, and the development of the intelligent mine field is promoted.

The invention provides a building engineering data information intelligent management platform which comprises an intelligent sensing module, an edge calculation module, a data management module, an AI decision module, a business application module and a safety standard module. Through the intelligent sensing module, the edge calculation module, the data management module, the AI decision module, the service application module and the safety standard module, the position of a constructor and the equipment state can be tracked in real time, personnel are prevented from entering a dangerous area by mistake and the mechanical overload risk is prevented, operation safety is guaranteed, AI quality inspection and fault diagnosis are locally processed, cloud dependence is reduced, and the working efficiency is improved. According to the method, the system and the device, real-time early warning of potential safety hazards can still be ensured when the network is interrupted, BIM, IoT and service data can be integrated in a standardized manner, information islands are eliminated, and cross-stage quality tracing and responsibility definition are realized.

The invention provides a power assembly and a motor controller, the power assembly comprises a power module, a radiator and an insulating part, the power module comprises a leading-out terminal, the insulating part is arranged on the surface of one side, facing the power module, of the radiator, and in the thickness direction of the power assembly, the projection of the insulating part covers the projection of the leading-out terminal on the radiator; the projection of the leading-out terminal on the radiator is covered by the projection of the insulating part in the thickness direction of the power assembly, the safety electrical insulation between the leading-out terminal and the radiator is ensured through the insulating part, and the electrical insulation performance between the power module and the radiator is improved.

The invention relates to the technical field of data processing, and discloses a shipyard steel framed bent scheme automatic optimization method and system based on a genetic algorithm. The method comprises the following steps: acquiring shipyard steel bent frame structure parameters and establishing an engineering experience database to obtain initial component section parameters; carrying out structure parametric modeling based on the initial parameters, generating a structure calculation model and carrying out load condition analysis; importing finite element software to carry out internal force analysis, and carrying out component standard checking calculation to obtain a stress ratio; performing multi-objective optimization through an NSGA-II algorithm to obtain a Pareto optimal solution set; and finally carrying out three-dimensional modeling and document generation to obtain an optimization design result. According to the method, the design scheme of the steel bent frame structure is automatically optimized while multiple load working conditions and design targets are considered, and it is ensured that the design result meeting the safety standard and with the optimal cost is obtained within the shortest time. By solving the problem, the design efficiency can be greatly improved, the design cost is reduced, and the structural safety is ensured.

Provided is a method for heat diffusion test of a completed new energy vehicle. 【Solution means】 The method of the present invention includes the steps of: performing initial modification on the battery system, triggering the battery pack to generate thermal runaway, and monitoring the state change of the battery system; performing video capture on the vehicle after thermal runaway by a video capture device, and monitoring the presence or absence and corresponding time of smoke emission, ignition, and explosion inside and outside the vehicle passenger compartment and the battery; collecting the surface temperature data of the contact objects in the passenger compartment, the gas concentration data of the high-temperature exhaust smoke in the passenger compartment, and the temperature data of the high-temperature exhaust smoke, and comparing the surface temperature data, gas concentration data, and temperature data of the high-temperature exhaust smoke of the contact objects in the passenger compartment with the corresponding safety standards, and evaluating the heat diffusion ability of the completed vehicle of the vehicle from the comparison results. The present invention provides a basis and guidance for actual product testing, and improves the safety and reliability of the verified product.

The invention discloses a railway marshalling station intelligent scheduling control method and system based on hierarchical reinforcement learning, and belongs to the technical field of rail transit. In the hierarchical reinforcement learning framework, the upper layer achieves a global marshalling priority strategy by using a deep Q network trained in stages and by means of dynamic reward function design; and the lower layer optimizes a PPO algorithm by means of a near-end strategy of dynamic action space cutting, and regulates and controls the state of the debugging equipment in real time. A security policy distillation technology is adopted in a marshalling station scheduling control process, and a security policy passing verification is extracted as a rule tree to serve as an initial policy for reinforcement learning, so that a training convergence process is accelerated. A transfer learning method is further applied, so that the method can adapt to the dynamic flow distribution requirements of marshalling stations of different scales. By adopting the technical scheme of the invention, the physical limitation and the operation safety standard of the railway marshalling station can be met as far as possible.

A safety standard of a predetermined level is set for a function to be implemented in each of devices. A central ECU includes ASIL ECUs to, in which each of the ASIL ECUS to is allocated for each level of the safety standard and is able to execute, on the device, confirmation processing according to the allocated level. A network branch unit distributes and transmits each of input signals from the devices, the input signals being respectively transmitted from zone ECUs, to a corresponding one of the ASIL ECUS each having the level allocated thereto and corresponding to the function of the device, and distributes and transmits each of output signals from the ASIL ECUs, the output signals being respectively transmitted from the ASIL ECUs, to a corresponding one of the zone ECUs each having transmitted the input signal from the device subjected to the confirmation processing.

The invention discloses an intelligent construction site cloud platform based on the Internet of Things, and relates to the technical field of construction site management, and the platform employs a multi-mode data fusion technology in combination with RFID, GPS, video monitoring and wearable equipment, monitors the position, behavior and physiological state of a worker, and automatically recognizes the violation behavior of the worker in combination with a deep learning model. Meanwhile, the regional risk coefficient is adopted to dynamically adjust the safety threshold values of the environment and the behavior, early warning adjustment is carried out in different regions according to the risk level, false alarm and missing alarm are greatly reduced, meanwhile, the working environment is monitored in real time through the temperature, humidity and dust environment sensors, and the working efficiency is improved. Early warning is triggered once the environmental condition exceeds the safety range, whether work meets the safety standard or not is judged in combination with environmental factors and worker behaviors, the weight of recent high-risk behaviors is increased through time weighting based on past behaviors of workers, and the current safety state of the workers is preferentially concerned.

The invention discloses a multi-point explosion hazard effect evaluation test method and a multi-point explosion hazard effect evaluation test system. The method comprises the following steps: uniformly distributing a plurality of explosion sources with prefabricated fragments on the same circumference and synchronously detonating; determining abdominal line distribution based on a shock wave superposition principle, and dividing a reference ring, an inner ring and an outer ring by taking an explosion central point O as a circle center according to a predicted overpressure peak value; and cake-shaped and penholder-type free field pressure sensors, impulse targets, simulation dummies, pine targets and speed measurement targets are systematically arranged on each ring layer along the abdominal line direction. By synchronously collecting multi-parameter data such as shock wave pressure-time history, fragment speed, target deformation, human body reflection overpressure and the like, quantitative analysis of shock wave superposition and attenuation characteristics, fragment power field distribution, human body damage risk and explosion impulse aftereffect is realized. The problem that the multipoint explosion hazard effect lacks a standardized test means is solved, and data support is provided for protection equipment research and development and safety standard formulation.

The invention provides a marketing clue scoring method and system based on data source grading. The marketing clue scoring method based on data source grading comprises the following steps: extracting data stream feature data information and a data source classification scheme of a data source corresponding to a marketing clue; classifying data sources corresponding to the obtained marketing clues by using the data stream feature data information and a data source classification scheme to obtain different categories of data sources; setting a data acquisition frequency by using the target classification coefficients corresponding to the different types of data sources in combination with a preset initial data acquisition frequency, and obtaining marketing clue data; performing data quality safety judgment on the marketing clue data to obtain marketing clue data meeting a preset safety standard; and calling a deep learning model for scoring, and obtaining a scoring score corresponding to the marketing clue data meeting the preset safety standard by using the deep learning model for scoring. The system comprises modules corresponding to the steps of the method.

The invention provides a mixing pile online monitoring method and device and electronic equipment, and relates to the technical field of mixing pile monitoring, and the mixing pile online monitoring method comprises the steps that drill rod inclination angle data, slurry flow data, cement consumption quality data and drill rod displacement data are acquired; coordinate transformation is conducted on the drill rod dip angle data and the drill rod displacement data, and the actual pile depth of the drill rod is calculated; performing double-source verification on the slurry flow data and the cement consumption quality data to generate effective cement consumption; constructing a pile body quality risk matrix model based on a preset pile depth threshold value, a cement consumption safety standard and a drill rod speed specification; inputting the actual pile depth of the drill rod, the effective cement dosage and the real-time drilling speed into the risk matrix model, and outputting a risk grade index; and when the risk grade index exceeds a preset threshold value, a regulation and control signal containing a drilling speed correction instruction, a grouting amount compensation instruction or an equipment locking instruction is generated. Accurate control over the pile depth is achieved, the cement consumption deviation is obviously lower than the industrial standard, and the risk of jerry work and material reduction is reduced.

The invention provides a masonry arch bridge deformation detection method and device, and relates to the technical field of bridge engineering construction. The method comprises the following steps of: scanning a masonry arch bridge by using a three-dimensional laser scanner according to a set period to obtain point cloud data, and constructing a point cloud model and a BIM three-dimensional real scene model according to the point cloud data; main arch ring deformation qualitative analysis is carried out through a BIM model to obtain qualitative data, quantitative analysis is carried out through a point cloud model to obtain quantitative data, deformation is evaluated according to bridge design specifications and safety standards, and a report is generated. The complete process from data acquisition, model construction, difference analysis to final deformation evaluation is covered, the deformation condition of the masonry arch bridge can be comprehensively and deeply evaluated, and a scientific basis is provided for maintenance and management of the bridge; compared with a traditional detection method, the detection method based on the three-dimensional laser scanning technology and the BIM model has higher precision and efficiency, the deformation part and degree can be more accurately positioned, and making of more targeted maintenance and repair strategies is facilitated.

The invention provides a hanging lug hooking monitoring system, method and device and a readable storage medium. The system comprises a visual recognition device, a depth recognition device, an industrial computer and alarm prompting equipment. The visual identification device is fixedly installed on the crown block hook and used for capturing image data of the crown block hook and the steel ladle hanging lug and extracting position information of the crown block hook and the steel ladle hanging lug; the depth identification device is fixedly arranged on the crown block hook and is used for measuring the relative distance between the crown block hook and the steel ladle hanging lug and extracting the distance information between the crown block hook and the steel ladle hanging lug; the industrial computer is used for judging the hooking state of the crown block hook according to the position information and the distance information and judging whether potential safety hazards exist in the hooking state or not according to a preset safety standard; and the alarm prompting equipment is used for sending out alarm prompting information when the industrial computer judges that the hook entering state has the potential safety hazard.

The invention provides an electric power safety standard implementation quality comprehensive evaluation method and device, and relates to the technical field of electric power system safety. The method comprises the steps of obtaining a comprehensive evaluation matrix of evaluation indexes in a target layer according to evaluation indexes corresponding to each evaluation level, a preset implementation effect evaluation level and questionnaire information for each evaluation index; according to the comprehensive evaluation matrix and the score corresponding to each preset implementation effect evaluation grade, calculating to obtain a first evaluation score; and evaluating the evaluation indexes corresponding to the evaluation hierarchies based on a preset electric power safety and stability standard implementation quality model to obtain a second evaluation score, and calculating to obtain an electric power safety standard implementation quality comprehensive evaluation result. The device executes the method. According to the method and the device provided by the embodiment of the invention, the implementation quality evaluation of the electric power safety standard can be objectively and accurately realized.

The present invention discloses a method and system for optimizing the sequential control logic design of steam source switching of a steam-driven feedwater pump, which relates to the field of thermal power and thermal engineering technology, and includes the following steps: setting the permission conditions for program-controlled start of auxiliary steam cutting, and if the conditions are met, opening the electric valve from the auxiliary steam to the steam-driven feedwater pump, and closing the electric valve from the four pumps to the feedwater pump; setting the prohibition conditions for program-controlled start of auxiliary steam cutting, and if the prohibition conditions are met, preventing the auxiliary steam from opening the electric valve from the feedwater pump, and sending an alarm message. By setting clear permission conditions and prohibition conditions, the present invention ensures that the steam source is switched only when specific safety standards are met, thereby reducing operational risks and potential safety accidents, and reducing the steps of manual operation through automated control, simplifying the operation process, and improving operational efficiency. The automated control logic can quickly respond to changes in system status, switch the steam source in time, and reduce the risk of system instability caused by manual operation delays.

The embodiment of the invention provides an automobile software demand formal conversion and test case generation method and system, electronic equipment and a storage medium, seven core field grammar frameworks including an application range, a trigger condition, a test object, an operation to be executed, a time sequence constraint, a demand type and a generation rule are constructed, time sequence constraints clearly quantify time parameters, demand types cover external input and the like, and a rule is generated to define mapping logic of demands and use cases; the method comprises the following steps: constructing a formalized conversion engine based on AI, automatically converting a natural language demand into a core field through text cleaning, domain model element extraction, element-field incidence matrix mapping and grammar and domain suitability verification, and if verification is not passed, generating a repair suggestion by the AI and performing iterative adjustment; and building a field enhancement cue word containing module test logic, safety standards and the like based on the core field, and inputting a large model subjected to automobile electronic corpus fine adjustment to generate a stepwise use case.

The invention discloses an edge-cleaning microstructure of a perovskite component and a preparation method thereof, the edge-cleaning microstructure comprises a plurality of micro grooves formed in an edge-cleaning area of the perovskite component, and the surface length of the edge-cleaning microstructure is not less than the creepage spacing of the perovskite component. By introducing a micro-groove structure, the actual creepage distance K is prolonged under the limited edge cleaning width L, the physical edge cleaning width is reduced on the premise of meeting the safety standard, and the reduction of the edge cleaning width is beneficial to improving the effective power generation area of the perovskite assembly and improving the output power of a single-chip assembly; the method is formed through a laser process, is high in process compatibility, and is suitable for mass production packaging of large-area and high-efficiency perovskite components.

The method is mainly applied to the technical field of vehicle engineering. The invention discloses a virtual scene generation method, system and device for vehicle stability development and a medium, and the method comprises the steps: building a systematic constraint condition of a multi-parameter coupling relation based on a preset multi-level function scene model, and determining a parameter coupling boundary of a key scene according to the systematic constraint condition; selecting a parameter combination in the parameter coupling boundary, and generating and covering all conventional scenes and dangerous scenes possibly causing instability according to the selected parameter combination; based on a preset safety standard or physical constraint, performing compliance screening on each conventional scene and each dangerous scene; and generating a comprehensive scene library for virtual calibration of the chassis electric control system according to the plurality of screened scenes. According to the invention, the efficiency and quality of virtual calibration of the chassis electric control system can be obviously improved.

This invention discloses a risk quantification method for AI large-scale models in engineering safety production, relating to the field of engineering safety technology. The method includes: S1, acquiring a domain causal template library constructed based on preset engineering safety standards, the domain causal template library including multiple standardized causal chain structure templates; S2, parsing the inference text generated by the main model in real time, and constructing an instance graph reflecting the current safety inference logic; S3, performing structural matching between the instance graph and the templates in the domain causal template library, and determining whether there is a structural deviation in the inference chain of the main model based on the matching result; if so, triggering a backup model to take over; S4, extracting key safety commitments from the inference context or instance graph of the main model, converting the key safety commitments into formal logical constraints, and injecting the formal logical constraints into the backup model; S5, verifying the response generated by the backup model and determining whether it satisfies the formal logical constraints.

The invention relates to the technical field of lifting devices, in particular to a lifting device based on intelligent sensing feedback control, which comprises a lifting platform, a winch, a lifting frame, a lap joint platform, a sensing unit and a regulation and control unit, and is characterized in that the sensing unit can determine the weight grade of goods and correspondingly control the actual lifting load or send out an overload early warning signal; determining the deviation grade of the gravity center of the cargo, judging whether the amplitude of the lifting platform meets the safety standard or not according to the weight grade, sending a signal to a regulation and control unit, or adding a test stage, or sending out unbalance early warning information; judging whether the height difference value of the lifting platform is in a normal range or has height deviation, and judging the reason for the existence of the height deviation according to the recorded height difference values; the regulation and control unit determines operation parameters of the winch according to signals of the sensing unit and controls lifting parameters of the lifting platform. Through intelligent sensing feedback control, the automation degree of overload unbalance and lifting height control of the lifting device is enhanced.

The invention relates to the technical field of generator testing, and discloses a generator testing platform which comprises a testing platform body, a generator to be tested is detachably installed on the top of the testing platform body, and a frequency converter adjusting motor and the generator to be tested are covered with a protection assembly. A lifting assembly used for driving the protection assembly to ascend and descend is arranged above the protection assembly. A downward pressing lug plate is fixed to the side portion of the protective cover, and a control button is arranged above the downward pressing lug plate. According to the invention, by arranging the liftable closed protective cover, the generator to be tested and the frequency converter adjusting motor can be covered during testing, so that the problem of personal injury or equipment damage easily caused by the risk of breakage and splashing of the transmission belt is avoided; and hard safety interlocking that equipment cannot be started when protection is not in place is realized through a downward pressing lug plate and a control button, so that the physical injury risk of a rotating part to an operator is thoroughly eliminated, and the safety standard of modern machinery is met.

The invention discloses an access control security method based on an AI camera, authorization equipment, a medium and a program product, and relates to the technical field of intelligent security. After the access control request is overtime, the authorization device can construct a visitor portrait including the access frequency and the residence duration by recognizing a human face and extracting a historical access record, and determines a visitor type identifier of the visitor portrait. By further extracting the occupational characteristics of the owner, calculating the occupational identity credibility index and performing autonomous authorization decision based on the index, the problem that high-frequency service personnel such as express delivery and take-out are blocked due to the fact that the owner cannot respond in time is solved, and the safety of the owner is improved on the premise that the safety standard is not reduced. And the operation efficiency and the intelligent service level of the access control system are improved.

The application belongs to the technical field of computers, and particularly relates to a safety acceptance method, device, equipment and storage medium, which are used to improve the efficiency of safety acceptance. The safety acceptance method comprises the following steps: in response to a safety acceptance instruction, obtaining a safety standard item to be accepted of a target project; based on a smart contract, performing acceptance on the safety standard item to be accepted; and outputting an acceptance result of the target project. The application can greatly improve the efficiency of safety acceptance and guarantee the accuracy and authority of the safety acceptance result.

The invention discloses a fixator device suitable for riding tool transportation and a using method thereof.The device comprises a traction rigging, a connecting rod assembly, a pull rod assembly and a constraint frame assembly, the constraint frame assembly can rotate around the pull rod assembly, and the pull rod assembly and the constraint frame assembly are each provided with a lateral connecting hole; when the lateral connecting holes correspond to each other, the lateral connecting holes are connected and locked through first connecting pieces; the binding frame assembly is used for being connected with a pedal of a riding tool and locked through a connecting piece, and the pull rod assembly is pulled to tension or loosen the traction rigging. By means of the fixing device, the riding tool can be effectively fixed to a transport vehicle, it is ensured that the riding tool is absolutely fixed in the transport process, bumping damage possibly occurring in the transport process is avoided, potential safety hazards caused by external bumping are eliminated, the riding tool meets the modern logistics safety standard and the requirement for green transport, and the fixing device has important practical value.

The utility model provides a conveying device of a wet cleaning machine table, which comprises a grabbing mechanism and a moving mechanism, and is characterized in that the grabbing mechanism comprises a first grabbing piece and a second grabbing piece, and the first grabbing piece and the second grabbing piece are matched for grabbing a target object; the moving mechanism comprises a first direction moving assembly, a second direction moving assembly and a third direction moving assembly and is used for driving the grabbing mechanism to move in the first direction, the second direction and the third direction. Detection mechanisms are arranged on the two sides of the moving assembly in the second direction and the third direction correspondingly and used for detecting whether the first grabbing piece and / or the second grabbing piece deviates and / or inclines in the second direction or not. The conveying device of the wet cleaning machine can monitor in real time and ensure that the grabbing mechanism is kept within the safety standard in the second direction, so that the hidden danger of wafer carrier rollover caused by inclination or deviation of the grabbing mechanism is eradicated, the production safety and reliability are improved, and the production efficiency is improved.

The present invention discloses a maintenance method and system for electric power equipment, the method comprising identifying an electric power equipment maintenance image, determining type data of the current electric power equipment, obtaining corresponding necessary pre-operation data according to each maintenance behavior standard data determined by the type data, performing behavioral recognition on the maintenance action of the maintenance personnel according to the maintenance personnel image, judging the maintenance action according to the recognition result, the maintenance behavior standard data and the corresponding necessary pre-operation data, generating an abnormal warning signal when it is judged that the maintenance action does not meet the preset safety standard, identifying the maintenance personnel feedback information obtained during the current electric power equipment maintenance process, and correcting the abnormal warning signal according to the recognition result. The present invention can timely discover and correct deviations and omissions in the operation process, effectively avoid safety accidents caused by human negligence or improper operation, and significantly improve the safety and reliability of maintenance operations.

The invention belongs to the technical field of charging piles, and particularly relates to a power-frequency small-current leakage protection low-frequency conducted interference resistance detection system and method. The system comprises a random phase-shift frequency-conversion oscillation module for converting low-frequency conducted interference of 10kHz-150kHz into an unstable equivalent low-frequency signal by introducing random delay to control the charging overturning time of a magnetic core; the dot frequency comb filtering module is used for filtering the current signals of a plurality of preset power frequency harmonic frequency points and outputting a maximum effective value; and the power frequency current judgment module is used for judging whether the effective value continuously exceeds a threshold value (such as 5mA) and reaches stable time (such as 50ms) so as to distinguish real electric leakage and interference. The method is realized based on the system. The core advantages of the invention lie in that misoperation caused by low-frequency conducted interference can be effectively avoided, the reliability of high-sensitivity (5mA) electric leakage protection in a complex electromagnetic environment (such as electric vehicle charging) is significantly improved, and the strict safety standard requirements such as UL2231 and the like are met.

The invention relates to the technical field of battery manufacturing, in particular to a QMS defective product analysis and tracing method based on the battery manufacturing industry, which comprises the following steps of: according to battery product performance requirements and safety standards, quantifying a defective product rate target, defining a standard of deviation between the purity of a positive electrode material and the capacity of a battery cell, and obtaining coating thickness deviation and welding strength parameters; equipment operation state information input by an operator and a raw material batch number provided by a supplier are fused, acquisition parameters are compared with a preset standard in real time, data exceeding a threshold value are marked, and a multi-dimensional quality feature data set is established. According to the invention, multiple dimensions of quality planning, quality control, defective product analysis, tracing, quality improvement and the like are integrated, and a set of systematized and standardized QMS defective product analysis and tracing method in the battery manufacturing industry is formed. A supplier management and control system is established by formulating clear targets and standards in the quality planning stage, and defective products are prevented from being generated from the source.