66 results about "Safety standards" patented technology

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 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 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 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 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.

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.

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.

The invention belongs to the technical field of wind power equipment maintenance, and discloses a wind power precision bearing backlash measurement system, which comprises a laser ranging module, a data processing module and an auxiliary assembly, and is characterized in that the laser ranging module enhances a laser triangulation method. The method has the following advantages: the measurement efficiency is improved, the single measurement time is shortened from 2 hours to 3 minutes, the downtime is greatly reduced, and the usability of the fan is improved; the data reliability is improved, an encrypted report containing a timestamp, a GPS coordinate and an operator ID is automatically generated, human errors are reduced, and data traceability is ensured; the maintenance cost is reduced, the bearing replacement period is prolonged from 5 years to 7 years, the annual maintenance cost of a single fan is reduced by 120,000 yuan, and sudden faults are avoided through preventive maintenance; the safety performance is improved, the risk that workers enter the gearbox in a traditional method is avoided, the injury probability of operators is reduced, and the industrial safety standard is met.

The detachable protection structure for the mechanical equipment is formed by modularly splicing a three-face protection sleeve and a double-face protection sleeve along the edge of a device shell, a suction cup structure is embedded in the protection shell, and the shell is adjusted to be screwed into a mounting hole through threads to push a suction cup to make contact with the surface of the equipment; the air valve bolt is rotated to block the vent hole in the vent pipe to form vacuum adsorption, so that the protection structure is quickly fixed; compared with a traditional bolt fixing scheme, the assembly and disassembly efficiency is improved by 85%, the suction force of the suction cup reaches 50-80 N, the protection cushion is made of a TPU material with the hardness of 70 + / -5 Shore A, tool-free operation is achieved in the scenes of numerical control machine tools, industrial robots and the like, and the assembly and disassembly efficiency is improved. The technical problems that a mechanical protection device is complex to disassemble and assemble, and the surface layer of equipment is prone to being damaged are solved, and the ISO 13849-1 mechanical safety standard requirement is met.

The utility model discloses an oil mist collecting cover, include: cover body, the bottom opening of cover body is provided, the bottom fixed connection of cover body has fixed ring, first pipe body, first pipe body fixed connection is in cover body, be provided with first filter assembly in first pipe body, can prevent oil mist and particle accumulation, second pipe body, the outer end fixed connection of first pipe body is in second pipe body, be provided with second filter assembly in second pipe body, can carry out secondary filtration, first filter assembly includes: motor, the motor fixed connection is outside first pipe body, the drive end of motor is inserted first pipe body and fixed connection has the pivot. In the utility model, through setting first filter assembly, through repeatedly folding, can shake off the oil mist and dust that adheres in the inside wall of first pipe body and the inside and outside of folding cover, through setting second filter assembly, carry out secondary filtration, so that the gas of discharge device is the safety standard.

The present application relates to a kind of methods for detecting side opening and the relative spatial structure of potential ignition source and its device, the device sets the laser emission port of visual laser ranging module and the outer edge of the lower surface of electronic product side opening as the distance of electronic product safety standard, and by magnetic angle instrument module, the position and orientation of visual laser ranging module and camera module are adjusted, so that the emission angle of visual laser emitted by visual laser ranging module meets the angle of electronic product safety standard, the route of spark spatter and fly when the potential ignition source in the electronic product burns is simulated in reverse by the emission path of the visual laser, and finally, whether the relative spatial structure of the potential ignition source and electronic product side opening meets standard is automatically judged according to the image information of the visual laser emission path and the emission path distance of visual laser.

The utility model relates to the technical field of film vapor deposition, in particular to a film vapor deposition device for flange processing, which comprises a supporting seat, a reaction tank is arranged at the top of the supporting seat, a plurality of layers of horizontally arranged placing plates are arranged in the reaction tank, and a sealing rotating plate is rotatably mounted on the front side of the reaction tank through a rotating shaft. A motor is mounted at the top of the reaction tank; an output shaft of the motor is connected with a rotating shaft of the sealing rotating plate through a coupling. By integrating an automatic waste gas emission mechanism, a gas concentration detection system and an intelligent control system, the residual harmful gas is ensured to be effectively exhausted before the equipment is started, and the reaction tank is allowed to be started only when the gas concentration in the cavity reaches the safety standard, so that the safety of operators is ensured.

The invention relates to the related technical field of hydraulic monitoring, in particular to a real-time monitoring method, system and equipment for faults of a hydraulic system of a digging and anchoring all-in-one machine, and the method comprises the following steps: carrying out frequency domain analysis to obtain effective fault features; drawing up an initial fault instance; and analyzing valve port coordination action characteristics, performing parameter correction in combination with the initial fault instance, and performing adaptive adjustment according to an industry safety standard to obtain a working condition adaptive fault monitoring instance. The technical problem that dynamic changes under different load working conditions cannot be adapted due to the fact that the difference of valve port coordination action characteristics under different load working conditions is not fully considered is solved, effective fault characteristics are extracted, early weak faults are sensitively captured, the timeliness of fault recognition is improved, and meanwhile the fault recognition efficiency is improved. According to the technical scheme, the cooperative action characteristics of the two-way balance valve and the proportional overflow valve are combined, targeted monitoring on abnormal actions of the valve group is enhanced, and the technical effect that a fault monitoring instance can be dynamically matched with different operation conditions through load working condition adaptive adjustment and parameter iterative optimization is achieved.

This invention discloses an optimized method, device, and storage medium for hot start-up of a power unit, relating to the field of power energy conservation technology. To address the technical problems of long hot start-up time and high fuel consumption in existing technologies, the method includes the following aspects: starting the gas turbine to 3000 rpm, then increasing the load to 135 MW at 20 MW / min after grid connection, taking 38 minutes; maintaining the gas turbine at 135 MW, while the boiler begins to heat and pressurize until the main steam parameters reach the turbine's required start-up parameters, taking 10-15 minutes; starting the turbine at 3000 rpm, with the turbine start-up steam temperature referenced at a mismatch greater than 10°C, and increasing the load at 7 MW / min after grid connection, taking 12 minutes; maintaining the gas turbine load at 135 MW, and opening the turbine control valve at 15% / min to full opening; ensuring that all unit parameters and adjustment operations meet safety standards, shortening the combined cycle's low thermal efficiency operating time, allowing the power plant more high-load power generation time, reducing energy consumption, and improving economic efficiency.

Software-based source voltage parameter monitoring is provided for load centers that include one or more DERs. The software enables a system energy manager (SEM) controller to monitor the relevant source voltage parameters of each DER and other voltage sources to ensure that each DER meets applicable safety standards when connecting to and disconnecting from the utility grid. The software eliminates the need to install off-the-shelf (OTS) chips in hardware used within a load center to communicate the source voltage parameters of each voltage source to the SEM controller. Instead, the software enables an SEM controller to detect the voltage signal output by each voltage source in a load center, and uses a dynamically generated internal control signal that is transformed to a rotating reference frame to detect the RMS voltage, phase angle, and frequency of each voltage source output. Eliminating OTS chips eliminates communication latency and increases system reliability.

The invention discloses an intelligent optimal configuration system for laying and hanging resources of an electric power tower, relates to the technical field of electric power towers, and solves the problem that the total laying and hanging amount is not matched with the actual demand due to the fact that quantitative calculation is not carried out in combination with the three-dimensional structure characteristics of the electric power tower and the spatial distribution rule of hanging points. According to the method, by aiming at the crossed hanging nodes in the optimal process, through a dynamic adjustment mechanism of'adjacent to-be-determined point identification + connecting line direction extension + process feature verification ', the crossing range between hanging is effectively reduced, the effect of each hanging node is fully played on the premise of ensuring comprehensive coverage, and the utilization rate of hanging point resources is improved; meanwhile, the optimized laying and hanging node layout better meets the cable safety spacing requirement, the potential safety hazard caused by dense crossing of laying and hanging is reduced, and the cross-industry safety standard and the quality management and control requirement in a data management system are met.

The disclosure provides a single-sensor-based multitask execution method and device, electronic equipment and storage medium. The method comprises: generating a first type of hardware interrupt at intervals of an execution cycle of a task that does not need to meet safety standards; if it is detected that the first type of hardware interrupt is generated, executing a first preset program of a task that needs to meet safety standards, including reading an electrical signal collected by a single sensor, and writing the analyzed electrical signal into a shared storage area; and based on the analyzed data, continuing to execute the task that needs to meet safety standards under the condition that the execution cycle is met, and triggering the generation of a second type of hardware interrupt regardless of whether the execution is continued; if it is detected that the second type of hardware interrupt is generated, executing a second preset program of a task that does not need to meet safety standards, including accessing the shared storage area, obtaining the analyzed data, and continuing to execute the task that does not need to meet safety standards based on the analyzed data. Accordingly, both software isolation and functional safety are met, and the cost of the sensor is reduced.

The invention discloses an electric power operation site risk management and control method and system based on cloud side-end collaborative linkage and a medium, and the method comprises the following steps: a cloud platform trains and generates an operation risk management and control large model based on historical operation data and safety standards; issuing the trained operation risk management and control large model to edge end equipment deployed in a power production field; the edge end device receives the field real-time data collected by the end side sensing device, and performs reasoning analysis on the field real-time data by using the operation risk management and control large model to identify the operation risk; when identifying the operation risk, the edge end equipment executes a preset active intervention strategy; and the edge end device transmits the risk identification result and the field disposal data back to the cloud platform to drive iterative optimization of the operation risk management and control large model. According to the method, the system and the medium, real-time accurate identification of operation risks, active intelligent intervention and rapid and continuous optimization of the system can be realized.

A liquid cooling server cabinet disclosed by the present invention comprises a rack, a server, a flow distribution bar, a power distribution bar, a plurality of liquid cooling pipes and a cable, the server is arranged in the rack and forms a first space, a second space and two side edge spaces with the rack, and the first space and the second space are located at two opposite sides of the server. The side spaces are located on the other two opposite sides of the server, the flow distribution row and the power distribution row are arranged on the rack and located in the side spaces, the liquid cooling pipes are arranged corresponding to the first space, and the two ends of each liquid cooling pipe are connected with the flow distribution row and the side, corresponding to the first space, of the server respectively. Two ends of the cable are respectively connected with the power distribution bar and one side, corresponding to the second space, of the server; therefore, water and electricity separation can be effectively formed to conform to safety specifications, the heat dissipation efficiency of the cables is improved, and wire arrangement and maintenance of the liquid cooling pipes and the cables can be facilitated.

The invention relates to the technical field of power dispatching management, in particular to a power dispatching visualization processing method and system based on multi-source data, and the method comprises the steps: collecting the dispatching steady-state feature information of a target regional power grid in a historical period; analyzing a scheduling steady-state characteristic characterization value based on the scheduling steady-state characteristic information; judging whether the operation state of the target regional power grid meets a safety standard or not based on the scheduling steady-state characteristic characterization value; when the running state meets the safety standard in response, collecting loss characteristic information of dispatching and adjusting resources of the power grid unit in the target region in a historical period; analyzing a loss characteristic characterization value based on the loss characteristic information; judging whether the operation stability of the power grid unit in the target area is abnormal based on the loss characteristic characterization value; in response to the stability abnormality, calculating a stability deviation value; and determining a reason of stability abnormity and a corresponding processing strategy based on the stability deviation value. According to the invention, the accuracy of the preventive scheduling decision of the power grid is improved.