39 results about "Safety specification" patented technology

The invention provides a high-altitude operation safety management method, device and equipment and a storage medium, and relates to the technical field of industrial safety management, and the method comprises the steps: combining the personnel basic information and operation information of a target worker, formulating a behavior specification criterion of the target worker, and according to the behavior specification criterion, determining the working condition of the target worker; determining a plurality of target parts of monitoring equipment required to be installed by a target worker; when the target worker executes the welding operation, monitoring data sent by the monitoring equipment of each target part is obtained; calculating relation parameters among the target parts according to the monitoring data; and on the basis of the behavior specification criterion, judging whether the relation parameters among the target parts meet preset requirements or not, and if the relation parameters between any two target parts do not meet the preset requirements, generating and sending adjustment information to terminal equipment of the target worker so as to enable the target worker to standardize behaviors. The technical effect of the invention is that whether the worker behavior accords with the safety specification can be accurately judged.

The invention discloses a method for evaluating the technical content of an electric power bidding document, which comprises the following steps of: extracting the bidding document and each bidding document from a bidding platform, and analyzing and acquiring the technical content of each bidding document through an electronic document; intercepting the content of a construction safety specification plate from the content of the technical part of each bidding document, judging whether the content contains a necessary module and whether each subide of the necessary module meets the safety specification standard, and evaluating the safety specification conformity of each bidding document; according to the evaluation result of the safety specification conformity of each bidding document, preliminarily screening out each qualified bidding document; equipment material technical parameter plate content is intercepted from technical part content of each preliminarily screened qualified bidding document, technical parameters of core equipment, materials and accessories are acquired and compared with corresponding technical parameter requirements in the bidding document, technical parameter conformity scores of each bidding document are evaluated, and ranking is generated; the bid evaluation efficiency and quality are improved, fairness and justice are ensured, and the method is suitable for bidding files of different formats.

The invention provides a large model self-reflection safety knowledge condensation method and system. The method comprises the steps that S1, initial output is generated; s2, carrying out self-reflection, judging whether the output has potential defects or security vulnerabilities or not, and if yes, carrying out iterative optimization; s3, in the iterative optimization process, firstly, based on defects or security vulnerabilities judged by self-reflection and additional security specifications, improving measures are put forward, and optimization and improvement are carried out; then performing self-reflection again, and repeating continuously until the safety requirement is met; and S4, inputting the final reply and the task process into a safety knowledge condensation mechanism, condensing the safety knowledge and the safety concept of the safety specification, and storing the safety knowledge and the safety concept in a self-generated safety knowledge base in a unified preset format. According to the method, the universality of safety knowledge congealing can be effectively improved, the thinking depth of large model generation can be improved, safety knowledge can be used for the generation process in an extensible mode, the safety requirement is met, and the method does not depend on an external knowledge base.

An example operation may include one or more of storing a safety specification for an industrial equipment and a video of an operation that is performed with the industrial equipment, identifying a plurality of video frames within the video that are associated with the operation that is performed with the industrial equipment, generating a description of the plurality of video frames based on execution of a multi-modal artificial intelligence (AI) model on the plurality of video frames, determining a safety issue with respect to the operation that is performed based on execution of a language machine learning model on the description of the plurality of video frames and text content from the safety specification, and displaying an identifier of the safety issue on a display screen associated with the industrial equipment.

The invention provides an intelligent construction site safety monitoring and early warning method and system, and the method comprises the steps: fusing the multi-source data, such as personnel positioning, equipment state and environment parameters, and building a structured time sequence feature set with spatial semantic annotation; constructing a symbolized rule base in combination with a field safety specification; applying a dynamic graph attention network, dynamically modeling personnel, equipment, environment nodes and an interaction relationship thereof, and deducing potential causal association strength between spatial entities; through path semantic distillation and anti-fact intervention, a compliant and accurate multi-stage causal reasoning path is formed, and key risk nodes and propagation channels are visualized in a three-dimensional BIM scene; and finally, dynamic early warning event generation and natural language interpretation are realized, model closed-loop optimization based on field feedback is supported, and the timeliness, interpretation and adaptive capability of construction site safety risk discovery are improved.

The invention discloses an infrastructure operation scene personnel safety early warning method and system based on multi-modal fusion, and relates to the field of safety early warning, and the method comprises the steps: analyzing video data to obtain behavior action sequence features, analyzing positioning data to obtain space activity track features, and analyzing sound data to obtain environment event features; matching the behavior action sequence features, the space activity track features and the environment event features with an operation scene feature library, and determining the operation type, the operation area attribute and the operation environment state of the current scene; calling a target security rule set from a security specification library; according to the target security rule set, performing logic correlation analysis on the behavior action sequence features, the spatial activity track features and the environmental event features to obtain an anomaly analysis result; and generating a corresponding early warning signal based on the abnormal analysis result. By implementing the method, the accuracy of safety early warning of the personnel in the capital construction operation scene can be improved.

The invention relates to the technical field of construction safety management, and particularly discloses an AI intelligent business line construction safety practical operation evaluation system, which is characterized in that a collaborative evaluation environment fusing a three-dimensional virtual scene and a live-action operation site is constructed, multi-modal behavior data of an evaluated object is acquired, and a dynamic feature set is established; extracting behavioral specification feature vectors by adopting a feature analysis technology and generating a post capability evaluation atlas; establishing an operation behavior-safety specification association model based on the atlas, and obtaining a comprehensive ability portrait by decoupling individual operation skills and team cooperation efficiency; constructing a multi-dimensional evaluation space by using the comprehensive ability portrait and the role attribute parameters, and performing cross-role information fusion and collaborative efficiency evaluation by using a deep neural network to generate a practical evaluation score; and finally, a post qualification authentication result is generated based on the score, a dynamic evaluation standard library is established, and the evaluation weight is adaptively adjusted according to the railway safety regulation update.

The invention discloses a coal preparation plant personnel violation behavior monitoring method based on artificial intelligence, relates to the technical field of violation behavior monitoring, and aims at a coal preparation plant with dense high-risk equipment, complex operation environment and strict safety specification. Carrying out real-time identification and hierarchical linkage processing on unsafe behaviors of personnel in the whole production process; a visible light / infrared camera, a millimeter wave radar and a sound sensor are arranged in a key area, and an equipment control system and environment sensors such as gas and dust are butted; an electronic security fence and a regional characteristic parameter library are set in combination with regional modeling, personnel identity, protective wearing and behavior tracks are obtained based on target detection and human body key point / posture analysis, comparison is carried out according to an operation process and an authority specification library, and semantic judgment is carried out on continuous actions and equipment parameter changes by adopting time sequence attention.

The invention provides a transformer substation monitoring method and device. According to the method, the trend of personnel is monitored in real time through the monitoring image, whether the operating personnel in each area at the current moment meet the operating requirements or not is judged by combining the operating information of each area of the transformer substation, and then an alarm is given if the operating personnel do not meet the operating requirements, so that the trend of the working personnel is monitored in real time; the situation that non-operating personnel enter by mistake or the wearing of the working personnel does not meet safety specifications is avoided, and the problems that in the prior art, personnel are prevented from entering by mistake through warning marks, electronic fences, access control and other means, and whether safety equipment of the working personnel has potential safety hazards or not cannot be recognized are solved.

The application relates to the technical field of intelligent traffic prediction, and discloses a traffic prediction method and system based on spatiotemporal graph convolution, wherein the traffic prediction method based on spatiotemporal graph convolution comprises the following steps: acquiring traffic data and establishing a safety rule knowledge base, encoding traffic safety specifications into structured safety rules; processing historical traffic data and designing an adversarial sample generator; training a safety boundary detector; performing adversarial safety detection; implementing progressive safety stress testing; deploying a real-time safety protection layer according to the results of the adversarial safety detection and the progressive safety stress testing; constructing an adaptive safety constraint mechanism, dynamically adjusting a safety threshold and a correction strategy; and generating a prediction result with safety verification reinforcement; the traffic prediction method fuses safety rule knowledge and adversarial safety detection, improves the safety reliability of a prediction result while maintaining prediction accuracy.

The application provides a high-altitude operation safety management method, device, equipment and storage medium, relates to the technical field of industrial safety management, and comprises the following steps: combining personnel basic information and operation information of a target worker, formulating a behavior specification criterion of the target worker, and determining a plurality of target positions of the target worker required to install a monitoring device according to the behavior specification criterion; when the target worker performs a welding operation, monitoring data sent by the monitoring device of each target position is acquired; the relationship parameters between the target positions are calculated according to the monitoring data; whether the relationship parameters between the target positions all conform to preset requirements is judged on the basis of the behavior specification criterion; if the relationship parameters between any two target positions do not conform to the preset requirements, adjustment information is generated and sent to a terminal device of the target worker, so that the target worker can regulate behavior. The application has the technical effect that whether the worker behavior conforms to the safety specification can be accurately judged.

The invention relates to a transformer substation high-resistance sleeve safe operation protection tool which comprises a left square frame, a right square frame and hooks installed on the left square frame and the right square frame, the left square frame and the right square frame are fixedly installed on a high-resistance partition wall, a cable is connected between the hooks of the left square frame and the right square frame, and a safety belt is hung on the cable. According to the method, drilling or welding does not need to be conducted on high-resistance equipment, damage to the equipment structure is avoided, and the construction difficulty and risk are reduced. Due to the fact that the installation process is simple, the construction amount is greatly reduced, the power failure time is shortened, and the working efficiency is improved. The installation of the square frame and the steel cable does not affect the appearance of the equipment, and the substation facilities are kept clean and beautiful. And the method completely conforms to the safety specification of'safety belts are hung at high positions and used at low positions', and the safety of operators is ensured.

The invention discloses a vehicle-mounted charging pile detection whole vehicle system equipment layout method, which comprises the following steps: S1, target setting: ensuring that the layout of vehicle-mounted charging pile detection whole vehicle system equipment is more reasonable, efficient and safe; s2, demand analysis, which can ensure that the designed system can meet the actual demand of a user and has relatively high technical feasibility and cost effectiveness; s3, space division, wherein efficient operation of equipment and safe operation of personnel can be ensured; s4, safety specifications: the normal operation of equipment and the safety of personnel can be ensured only by strictly complying with the safety specifications; the use efficiency, safety and user experience of the equipment can be improved, healthy development of the electric vehicle industry is promoted, the reliability of the detection result is further guaranteed, the layout method not only improves the detection efficiency, but also effectively avoids vehicle charging interruption caused by the fault of the charging pile, and the service life of the vehicle is prolonged. Therefore, the charging safety of the electric vehicle is ensured.

The invention relates to the technical field of intelligent traffic prediction, and discloses a traffic prediction method and system based on space-time diagram convolution, and the method comprises the steps: obtaining traffic data, building a safety rule knowledge base, and coding a traffic safety specification into a structured safety rule; processing historical traffic data and designing an adversarial sample generator; training a safety boundary detector; performing antagonistic safety detection; performing a progressive safety pressure test; deploying a real-time safety protection layer according to the results of the resistance safety detection and the progressive safety pressure test; constructing an adaptive security constraint mechanism, and dynamically adjusting a security threshold and a correction strategy; generating a prediction result of security verification enhancement; according to the traffic prediction method integrating safety rule knowledge and adversarial safety detection, the safety and reliability of a prediction result are improved while the prediction precision is kept.

The invention provides a construction violation operation real-time monitoring method and system and a medium, and relates to the technical field of computers. The method is applied to a construction violation operation real-time monitoring system, the system comprises a violation recognition engine and a dynamic rule engine, and the method comprises the following steps: configuring construction violation operation recognition rules and space conditions thereof through the dynamic rule engine, and sending the construction violation operation recognition rules and the space conditions to the violation recognition engine, and the violation recognition engine judges whether corresponding construction violation operation occurs in the corresponding space condition on the construction site according to the monitoring video stream of the construction site and the construction violation operation recognition rule, and if yes, the violation recognition engine controls to send out construction violation operation early warning information. Through the dynamic rule engine, the user is allowed to dynamically configure violation rules and customize violation behaviors and judgment conditions according to construction project characteristics and safety specifications, so that the system can flexibly adapt to diversified construction scene requirements.

The invention discloses a digital twinborn management and control platform and method for the whole operation process of a transformer substation, belongs to the technical field of transformer substations, and aims to solve the problems that the management and control of the operation process are lacked, the accurate position and action track of an operator in a three-dimensional space cannot be tracked in real time, and dynamic safety distance early warning cannot be performed with a live equipment area. Comprising the steps of importing operation task information based on a digital twin three-dimensional basic model of a transformer substation, constructing a digital operation process model, and obtaining a safety result through comparison of a geometric collision detection algorithm and a safety specification database based on the digital operation process model according to a safety measure model library. Automatically checking whether the arrangement positions and the number of the safety measures and the distance between the safety measures and the electrified equipment meet preset requirements or not; through virtual arrangement and automatic verification, omission or violation of manual arrangement is avoided, the safety accident risk caused by improper safety measures is remarkably reduced, and digital management and control of the safety measures are achieved.

The invention relates to the technical field of knowledge graphs, and discloses a construction rule judgment method, device and equipment based on a knowledge graph, and the method comprises the steps: obtaining construction rules, construction requirements and safety specifications of a general plane of a construction site, and building a basic rule database; expanding the basic rule database into a generalized rule database; preprocessing the generalized rule database, and standardizing a text format and an expression mode of each rule; performing feature extraction and reference classification on the preprocessed generalized rule database, and constructing a construction rule judgment knowledge graph; according to the received judgment conditions input by the user, retrieval is carried out in the construction rule judgment knowledge graph, judgment results including logic correctness, step feasibility and time sequence rationality are output, the judgment conditions input by the user are judged through the construction rule judgment knowledge graph, an effective management tool is provided for construction management, and the construction management efficiency is improved. And the management efficiency and the management quality are improved.

1. Name of the Design Product: Safety Comprehensive Tester (AN9640BV4). 2. Use of the Design Product: For safety specification testing of electronic products. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph Most Indicating the Design Key Points: Perspective view.

The utility model discloses a sectional type pre-embedded device and an assembly type building. The sectional type pre-embedded device comprises a lower embedded part and an upper component. The lower embedded part is provided with an embedded section embedded into the base plate and an outward extending section extending out of the base plate, and correspondingly, the outward extending section of the lower embedded part is detachably connected with the upper component; and a first construction area extending upwards from the outer extending section of the lower embedded part to the joint of the upper component and the lower embedded part and a second construction area located above the joint of the upper component and the lower embedded part are formed by taking the joint of the upper component and the lower embedded part as a boundary. The fabricated building comprises the sectional type pre-buried device. When the lower embedded part is pre-embedded in the base plate, the reinforced concrete layer is formed on the base plate through the first construction area, so that the pre-embedded depth of the lower embedded part meets the technical requirements of safety specifications, and the quality safety risk is avoided. The lower embedded part can be manufactured in advance, connection between the lower embedded part and the upper component is achieved through mechanical connection during site construction, operation of constructors is simplified, and construction is more efficient.

The present invention provides a method for managing safety configuration in an adaptive environment construction phase, including: extracting construction environment features and converting them into feature vectors, and identifying construction environment categories based on the feature vectors based on a pre-trained environment recognition model; establishing a configuration template library, the configuration template library including configuration templates under different construction environments, each configuration template containing specific configuration items and parameters under the construction environment; selecting a matching configuration template from the template library based on an adaptation engine according to the construction environment recognition result, and loading it into memory; dynamically parsing the loaded configuration template, and adjusting configuration items and parameters according to construction environment characteristics or safety specification requirements; injecting the adjusted configuration parameters into a connector or application in real time through reflection or configuration management API to complete configuration update. The method of the present invention can realize automation and intelligence of configuration management, and improve the efficiency and quality of software deployment and maintenance.

The invention discloses a code generation method and system based on template matching and logical reasoning, and relates to the technical field of automatic code generation. According to the method, the Bayesian optimization algorithm, template matching and logical reasoning are introduced, so that the problems that template selection is rigid and safety specifications cannot be met are solved. In addition, the interpretability of the generation process is enhanced, flexible integration of external code modules is supported, and the flexibility and accuracy of code generation are improved.

The invention relates to a plug terminal with a to-be-coated section of an insulating layer, which comprises a plug terminal, and the plug terminal sequentially defines a contact section which can be inserted into a socket, a to-be-coated section which is coated by the insulating layer, a clamped section which is clamped by an inner frame body and a riveting section which is used for riveting an electric wire, the clamp is characterized in that the clamped section is provided with a through hole, and the inner edge of the through hole partially extends into the range of the section to be coated. In addition, the through hole can be arranged inside and outside the outermost side face of the inner frame body in a striding mode in the future and can also be arranged inside and outside the'attachment face 'of the plug finished product in a striding mode after the plug finished product is molded, so that the rubber material can flow smoothly along the inner edge of the through hole and is completely wrapped without lack of rubber. Therefore, when a plug finished product is formed, product appearance flaws and safety specification doubts caused by lack of glue can be avoided.

The utility model discloses a film guiding device suitable for rubber withdrawal of guide cutting machine, including fixed bolster, and fixed bolster includes two first connecting plates and first length board, and the both ends fixed connection of two first connecting plates opposite one side one end with the both ends of first length board, and the middle part mounting of first length board has cylinder body, and the utility model discloses a film guiding device suitable for rubber withdrawal of guide cutting machine, through setting cylinder body, roller bracket and roller assembly, and cylinder body pushes roller bracket from one side, and guiding assembly is relative to fixed bolster and slides, and increases the film guiding device of rubber withdrawal of guide cutting machine, so that the rubber can accurately fall to the top of rubber disc of rubber withdrawal, realizes the automatic control of material withdrawal, and the film is guided to the specified position in guiding device automatically, reduces manual operation, guarantees the purity of rubber material, prevents the film from contacting the ground or equipment in the material withdrawal process, avoids the admixture of impurities, improves product quality, reduces the risk of injury, and conforms to the safety specification.

The application discloses an AI vision-based water transportation construction project safety hidden danger intelligent monitoring method and system, which comprises the following steps: A1, collecting water pile foundation construction video stream data and water transportation safety specification text data and respectively preprocessing; A2, extracting water pile foundation construction basic features and small target feature gain weight, and then calculating motion trajectory mask matrix and time sequence fusion features; A3, sequentially extracting water transportation scene structure mask matrix and water pile foundation construction features after physical constraint, and generating safety hidden danger behavior features; A4, extracting initial text features and weighted text features, and then performing cross-modal fusion; A5, calculating behavior compliance matching degree; A6, calculating behavior compliance results, and extracting corresponding contents in the preprocessed water transportation safety specification text data; the application can solve the problems of poor water transportation construction project safety hidden danger identification precision and difficulty in linking safety specification text in the prior art.

The application provides an automatic operation and maintenance control method for a photovoltaic power station drawer type AC power distribution cabinet, relates to the technical field of automatic control of electric power equipment, and has the beneficial effects that: (1) the standardized coordinate library and the automatic action sequence are constructed through an algorithm, replacing manual operation processes of manual operation of personnel entering a relay protection room; and (2) a multilevel algorithm interlocking mechanism is used, replacing a single protection mode that only relies on personnel to follow safety specifications.

The present application belongs to the technical field of metallurgical crane safety monitoring, and particularly relates to a kind of metallurgical crane operation path safety early warning method and system based on digital twinning, aiming at realizing the accurate monitoring and safety early warning of metallurgical crane operation path.The system presents the alarm rules and records of the position trajectory and operation behavior of crane car, main and auxiliary trolley, main and auxiliary hook through behavior control module; adopts a page structure of triangle type, the upper half part shows the trajectory, the left lower half part presents the operation procedure, state data and override alarm configuration, and the right lower half part displays the latest override alarm record; preset digital safety specifications such as starting tank procedure and running path, generate green corridor in digital twinning board, trigger sound and light prompt in cab when exceeding the corridor, and lock control system through intelligent instruction if necessary.The present application improves the intuitiveness, early warning timeliness and safety of crane operation monitoring.

The application discloses an industrial production operation safety knowledge question and answer method and system based on a large language model, which firstly constructs production operation safety knowledge question and answer pairs and a production operation safety specification knowledge dataset.Secondly, a large language segmentation model is constructed, and a special segmenter is obtained by training the safety specification knowledge dataset to segment the production operation related text to obtain a safety specification knowledge base.Then, the safety problem and the safety specification knowledge base are vectorized to generate the knowledge base.Finally, a binary similarity measure is constructed to calculate the similarity between the safety vector and the text block vector in the knowledge base, recall the similar text of the question, and use the safety operation large language model to infer the operation safety precautions and the risk accident consequence analysis conclusion.The application replaces the functions of the safety personnel in the traditional operation, significantly reduces the labor cost and improves the operation efficiency, and can provide the operation safety precautions and the risk accident consequence analysis conclusion.

The application discloses a kind of wear test devices for actuating cylinder reciprocating dynamic seal, belong to the technical field of actuating cylinder sealing wear test equipment, including main frame body, and the test mechanism of movable connection on main frame body, one side of main frame body is provided with replaceable actuating cylinder structure to be measured, test mechanism includes moving rod, and the upper and lower ends of moving rod are respectively provided with limit component and counterweight component, connecting piece is provided on moving rod, and the one end of piston rod in connecting piece and actuating cylinder structure to be measured is hinged, by the application, the wear of actuating cylinder reciprocating dynamic seal can be tested, can satisfy the conventional movement of actuating cylinder output end under simulated static state and the non-axial force that actuating cylinder output end is subjected to under dynamic state, and the reliability of sealing ring in actual work can be comprehensively evaluated in combination, is verified from multiple dimensions, is favorable for discovering potential risk, and better meet the requirement of safety specification in aviation, industry and other fields.

The invention provides a safety specification identification method, device and system based on machine vision, and belongs to the field of safety detection. The method comprises the following steps: acquiring a construction schedule of a to-be-identified construction process; inputting the construction schedule into the safety specification identification model, and outputting a link needing to be monitored and identified; wherein the safety specification identification model is determined based on keywords in a construction schedule of a power grid construction process, the link needing to be monitored and identified comprises a plurality of management and control key points with a front-back identification sequence, and the management and control key points comprise safety specifications needing to be identified by the management and control key points; when an instruction of entering the Nth management and control key point is received, obtaining a video of the Nth management and control key point, and uploading the video of the Nth management and control key point to the edge terminal; the edge terminal is used for judging whether the Nth management and control key point is subjected to illegal operation or not; and based on the received instruction of the edge terminal, determining whether to carry out the operation of the (N + 1) th management and control key point. The method can improve the recognition effect.

The invention provides a construction site safety management method and system integrated with a head-mounted device, and the method comprises the steps: collecting a construction site image through the head-mounted device, transmitting the construction site image to a server, carrying out the target scene recognition based on the construction site image, carrying out the operation recognition of the construction site image based on a preset recognition strategy for the target scene, and obtaining a target scene recognition result. Whether the construction site meets the construction safety specification is determined, automatic construction site safety management is achieved, and the construction site safety management efficiency is improved. And meanwhile, the safety detection result of the construction site is sent to the preset client, so that related personnel can conveniently know the safety condition of the construction site. Besides, the head-mounted equipment is used in the construction site to collect the construction site image for identification, so that the construction site image can comprise a part which is difficult to arrive manually, the safety inspection range of the construction site is expanded, and the comprehensiveness of safety management of the construction site and the construction safety are further improved.