113 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.

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.

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 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 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 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 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.

The utility model relates to the field of underground foundation pits, and discloses a foundation pit supporting structure with a monitoring function. In the application, a steel sheet pile wall is arranged on the surface of one side of the wall body, an enclosing purlin is arranged on the surface of the steel sheet pile wall, a supporting rod is connected to the surface of the enclosing purlin, a data processing assembly is arranged on the surface of the supporting rod, and a circuit board is arranged in the data processing assembly; a data acquisition module, an early warning module, a sound module and a data processing module are arranged on the surface of the circuit board, and a display screen, a control panel and a loudspeaker are arranged on the surface of the data processing assembly. An early warning threshold value is set according to the change trend and the safety standard of monitored data, the arranged circuit board and the data acquisition module, the early warning module, the sound module and the data processing module on the surface of the circuit board can process the data, and meanwhile, the loudspeaker is matched to give out an alarm sound. Therefore, a worker is reminded to take necessary measures to ensure the construction safety.

The present application belongs to the field of temperature regulation, and particularly relates to a temperature regulation method and system for a carburant drying device, to solve the technical problem of insufficient prediction accuracy and poor reliability of the existing regulation method, the carburant drying device temperature regulation method comprising the following steps: S1, a Gaussian mixture model is used to establish a joint probability distribution model of process disturbance and measurement noise; S2, a probability density function of a state trajectory in a future prediction time domain is obtained; S3, a probability constraint characterized by a conditional value at risk is set; S4, a first element of an optimal heater power sequence is used as a heater power control amount of a current control period, and a first element of an optimal working mode sequence is used as a working mode of the current control period, which are applied to the device together. Under the premise of ensuring high safety standards, the heater power and the working mode are optimized cooperatively, and the energy consumption of the device is reduced.

The invention provides a geopolymer coating and steel bonding strength reliability modeling method, and relates to the technical field of steel bonding strength reliability analys.The geopolymer coating and steel bonding strength reliability modeling method includes the steps that through full-process data driving and probability modeling, a system collects multi-source influence factor data and constructs joint probability distribution, and the mapping relation between constitutive parameters and influence factors is introduced into a constitutive model; multi-factor self-adaption and space coupling of structural performance are achieved; a Markov degradation model is combined, the time sequence degradation process of the steel bonding strength in the service period is dynamically described, a Bayesian inversion method is further introduced to achieve dynamic updating of parameter distribution, and the probability that the structure meets the safety standard is quantified through reliability integration. According to the overall scheme, the durability and safety of the structure under the complex actual working condition can be truly reflected, the scientificity and coverage of reliability evaluation under the long-term service environment are effectively improved, and a quantifiable traceable decision basis can be provided for engineering design, acceptance and operation and maintenance management.

The invention is suitable for the field of high-altitude safety detection, and provides high-altitude working safety belt processing detection equipment which comprises an equipment rack, and a self-adaptive clamping module, a multi-dimensional detection module, a multi-working-condition driving module and an intelligent management and control module are sequentially arranged on the equipment rack along the detection process. The intelligent management and control module is electrically connected with the self-adaptive clamping module, the multi-dimensional detection module and the multi-working-condition driving module. According to the invention, the full-process intelligentization of clamping-detection-working condition simulation-quality control is realized, the detection suitability, comprehensiveness and authenticity are improved, the high-altitude working safety belt is ensured to meet the actual use safety standard, and the method is suitable for large-scale high-precision detection scenes.

The invention provides a new energy charging station layout automatic generation method, device and equipment, and the method comprises the steps: carrying out the analysis of an input parking lot plan, and obtaining an analysis result; after establishing a digital space model based on the analysis result, analyzing each space unit in the digital space model through a space relation analysis algorithm to obtain a space constraint condition; according to the user demand parameters, a preliminary layout is generated in combination with the digital space model and the space constraint conditions; on the basis of the initial layout, local optimization and global optimization are carried out in sequence, and an intermediate layout is obtained; performing compliance verification on the intermediate layout according to related design specifications and safety standards to obtain a verification result; and if the verification result is that the verification is passed, determining the intermediate layout as the final layout. According to the method, full-process intelligent collaboration from graph analysis to layout scheme generation is realized, and the intelligent level of the layout design of the new energy charging station is improved.

This invention discloses a method and related equipment for automatic adjustment of high return ratios, relating to the field of automation control in steel smelting, primarily addressing the problems of low accuracy and poor flexibility in existing high return ratio adjustments. The method includes: calculating the total ratio adjustment magnitude based on a moving average position trend that meets continuity conditions, wherein the moving average position trend characterizes the direction and intensity of position changes after smoothing and confirmation of validity; based on the total ratio adjustment magnitude, determining the ratio adjustment command for each production line according to production line priority and the degree of deviation of each production line's ratio from a preset optimal ratio; and executing the ratio adjustment for each production line if the ratio adjustment command meets safety standards. This invention is used in the automatic adjustment process of high return ratios.

This vehicle control device is provided with a hypervisor, first and second virtual machines operating on the hypervisor, a real device occupied and directly accessible by the first virtual machine, and a shared memory accessible by the first virtual machine. The first and the second virtual machines communicate via a ring buffer. In that situation, the first virtual machine secures the ring buffer for each of different levels determined as safety standard levels.

The invention discloses a multi-mode large-model intelligent inspection robot for electric power line construction, and relates to the technical field of electric power inspection. The region recognition module is used for acquiring a region image of the target region, and performing feature recognition on the region image through a target model to obtain a recognition result; the path optimization module is used for acquiring a task path and performing dynamic iteration according to the task path and the identification result to obtain a target task path; and the data transmission module is used for executing the target task path, collecting environment data in real time and uploading the environment data to a cloud end, so that the cloud end performs anomaly detection on the environment data to obtain an anomaly detection result. A target area image is obtained and feature recognition is performed, dynamic iteration is performed in combination with a task path, the adaptability and flexibility of an inspection path are improved, the inspection robot is provided with multiple sensors, environment data can be collected in real time and uploaded to a cloud end for anomaly detection, and the detection capacity for defects and safety standards is enhanced.

The utility model discloses a kind of gas tank container loading and unloading port leak-proof structure, it is related to tank body leak-proof technical field, including tank body and the main frame for fixing tank body, the upper of tank body is provided with manhole, manhole is provided with manhole overflow box, the upper of tank body is close to the side of manhole and is provided with safety valve assembly, safety valve assembly is covered with safety valve overflow box;Two groups of gas phase holes and two groups of liquid phase holes are provided on manhole, two groups of gas phase holes and two groups of liquid phase holes are respectively mounted with valve assembly for controlling material loading and unloading, valve assembly includes check valve and ball valve fixed in series by flange, check valve is located above ball valve, the side surface of check valve is connected with air cock, air cock is connected gas storage tank by gas pipe, pressure reducing valve is connected on gas pipe, for receiving compressed gas from gas storage tank. Ball valve is opened in pneumatic mode, greatly reduce the risk of safety accident, fully comply with the strict safety standards of dangerous goods transport.

This invention discloses a magnetic induction structure. The magnetic induction structure includes a first coil assembly, an insulating unit, a second coil assembly, and a magnetic component. The insulating unit partially covers the first coil assembly, leaving one end of the first coil assembly exposed. The second coil assembly straddles the insulating unit, allowing it to be positioned on both sides of the insulating unit. The magnetic component passes through the first coil assembly, the insulating unit, and the second coil assembly. The magnetic component and the second coil assembly are defined as a spacing target, and any conductive element and any through-hole of the first coil assembly has a minimum distance of not less than 0.4 mm to the spacing target. Accordingly, the magnetic induction structure can meet safety standards with minimal manufacturing cost.

The application discloses a protective shoe AI generation method based on physical process constraints and safety standard verification, relates to the technical field of product design automation, and comprises the following steps: assembling the topological relationship of the protective component and the material process constraint based on the scale conversion benchmark and the determinable rule table, binding the rules according to the functional partition, forming a parameterized constraint set, generating a shoe scheme according to the parameterized constraint set and the appearance intention, performing semantic segmentation, key point positioning and edge extraction measurement and verifying the rules, when the verification result indicates that the shoe scheme does not conform to the determinable rule table and the parameterized constraint set, sequentially performing local shape correction, local redrawing generation and discarding regeneration, and obtaining a final scheme, rechecking the final scheme, outputting a multi-view design drawing, a partition annotation drawing, a vectorized contour line, a key dimension table, a material list and a process specification, and performing encryption and decryption, clearing the plaintext and recording the access log.

The utility model provides a plug structure, which comprises a conductive pin, an insulation structure with a corner part and a plug base, the insulation structure wraps one end of the conductive pin far away from an insertion end, the insulation structure is recessed in the plug base to form a first recessed structure, and the corner part of the insulation structure is a smooth structure. According to the plug structure provided by the utility model, the insulation structure is recessed in the plug base to form the first recessed structure, so that the diameter of the conductive pin extending out of the plug base can be kept at a small value; the corner part (not extending out of the plug base) of the insulation structure is a smooth structure and does not influence the diameter of the conductive pin which extends out of the plug base and is wrapped with the insulation material. Therefore, the structural strength of the insulation structure can be improved, and the requirement of the safety standard on the diameter of the conductive pin can be met.

In one embodiment, a boosting system includes a booster circuit. The booster circuit is configured to receive a direct current (DC) voltage input and to adjust the DC voltage input. The boosting system further includes a current sensing circuit coupled to the booster circuit and a first end of a power cable. The current sensing circuit is configured to measure a current at the first end of the power cable. The boosting system further includes one or more processors coupled to the booster circuit and the current sensing circuit. The one or more processors are configured to adjust an output of the booster circuit when the current sensing circuit indicates that the current at the first end of the power cable exceeds a first threshold. The first threshold is selected at least in part based on one or more safety standards of the power cable.