10 results about "Equipment Operator" patented technology

The invention discloses an invalid operation prompting method and device, a storage medium and a system. The method comprises the following steps: acquiring and identifying an operation signal of an equipment operator; retrieving a logic tree associated with the operation signal; wherein the operation signal is associated with at least one logic tree; based on each logic tree, retrieving whether a preset condition allowing response to the operation signal is established or not; if the preset condition is not established, based on a corresponding logic tree, searching out a limiting root cause corresponding to the preset condition which is not established; and sending the restriction root cause code to an information prompting unit, so that the information prompting unit prompts the restriction root cause code. According to the technical scheme, the limiting root cause can be actively recognized and prompted, the experience requirement for troubleshooting response abnormity of an operator is lowered, and normal operation of equipment is guaranteed.

The present invention relates to the field of safety monitoring technology, and discloses a construction safety monitoring method and system. The method and system can automatically calculate the dynamic safety distance based on information such as the current tasks performed by the operator and the equipment, the equipment's own status, and set a multi-level early warning mode based on the dynamic safety distance, thereby improving the alarm accuracy, reducing false alarms, alleviating the burden on monitoring personnel, and improving the safety of the monitoring system. The dynamic safety distance is also set according to the type of work reused by the operator, and can be dynamically adjusted according to historical operation data to avoid false alarms, improve work efficiency, and ensure production progress. The control center identifies whether the operator is an equipment operator based on the calculated dynamic safety distance. When the operator is identified as an equipment operator, the dynamic safety distance is converted into an electronic fence for monitoring, thereby ensuring the operator's safe construction in all aspects.

The invention discloses an equipment operator affiliation identification method, device and equipment, and relates to the technical field of data processing. The method comprises the following steps: establishing a database, and storing the type, the operator, the installation time and the installation place of the equipment; based on the model, the installation time and the installation place of the target equipment, extracting an equipment set which is the same as the model and the installation place of the target equipment and similar to the installation time from a database; setting a time interval threshold value and a device number threshold value, and performing clustering processing on the device set to obtain a cluster set; if only one cluster containing the installation time of the target equipment is found in the cluster set, determining that an operator to which the cluster belongs is an operator to which the target equipment belongs; otherwise, adjusting the time interval threshold value and the device number threshold value, and repeating the clustering processing until the operator is determined or cannot be identified. According to the invention, automatic and accurate determination of equipment attribution is realized, and accurate data support is provided for equipment management and iron tower business.

The present invention discloses a method for detecting the fatigue state of equipment operators based on the fusion of visual feature information. The method selects the eyes, mouth, and head contours from various fatigue representations as a detection combination, and makes a fatigue judgment on the equipment operator based on the detection combination. A feature cascade classifier is used to detect the human eyes, and a particle filter algorithm is used to track the eye position; grayscale processing is used to detect the mouth and modify the critical point to improve the detection accuracy, and then the head state is judged by the relative position of the feature points. By selecting the above three methods and combining them into a total detection method, a comprehensive detection of equipment operators in different states is performed. After the detection, parameters are obtained and a fatigue detection model for equipment operators is established; a support vector machine is used to perform machine learning on the model to analyze in real time whether the operator is fatigued at this time, which well meets the application demand of analyzing the representation parameters under different states to derive the degree of fatigue.

In order to solve the problem of insufficient evaluation ability of existing war game system or method for laser countermeasure against low, slow and small target, the present application provides a kind of laser countermeasure war game system and method.The laser countermeasure war game system is arranged for round war game simulation strategy, which includes: deduction map, which is used to deduce the environment scene of training or actual combat of laser system countermeasure against low, slow and small target, and the deduction map contains atmospheric visibility mark, deduction round record track and atmospheric turbulence record track corresponding to each deduction round; deduction operator, which is used to simulate the strength, equipment and countermeasure state of different countermeasure units in laser system countermeasure against low, slow and small target, including strength unit operator, equipment operator and mark operator, and the strength unit operator contains laser system unit.The present application highlights the particularity of war game in new laser countermeasure style and the difference from traditional direct fire countermeasure deduction through the above-mentioned war game system and corresponding war game method.

The invention relates to the technical field of mechanical automation, in particular to an automatic feeding frame which is characterized in that a material storage device conveys materials to a first material table, a lifting plate jacks up the materials and lifts the materials from the first material table to a first end, and the materials abut against a discharging piece; and the material moves to the required position towards the second end under the support of the blanking piece and the blanking slope. Through cooperation of the lifting mechanism, the feeding slope, the second material table and the discharging piece, materials from small width to large width can be transferred to a set position, manual adjustment of equipment operators is not needed, and only machining programming is needed. And mechanical debugging is reduced, the workload of operators is reduced, large-range automation is realized, and the working efficiency is greatly improved.

The invention relates to the technical field of safety monitoring, and discloses a construction safety monitoring method and system, which can automatically calculate a dynamic safety distance according to information such as a current execution task and a self state of an operator and equipment, set a multi-stage early warning mode according to the dynamic safety distance, improve the alarm accuracy, reduce false alarms and improve the construction safety. The burden of monitoring personnel is relieved, and the safety of the monitoring system is improved; wherein the dynamic safety distance is also set according to the type of work reused by an operator, and can be dynamically adjusted according to historical operation data, so that false alarm is avoided, the working efficiency is improved, and the production progress is ensured; and the control center identifies whether the operator is an equipment operator according to the calculated dynamic safety distance, and converts the dynamic safety distance into an electronic fence for monitoring when the operator is identified as the equipment operator, so that the safe construction of the operator is guaranteed in all directions.

The embodiment of the application discloses a kind of intelligent analysis methods for the operation behavior of equipment operator, comprising: obtaining the operation video section of equipment operator;For each time window of the video section: S1, human skeleton point recognition is carried out to each frame image of current time window, and the basic motion feature, statistical feature and timing feature of skeleton point are extracted;S2, the feature set of current time window is respectively input into the identification model of each behavior category, and the first confidence of each behavior category in current time window is obtained respectively;According to the first confidence time sequence of each behavior category in multiple time windows, the second confidence that the video section belongs to each behavior category is determined;The behavior category of second confidence highest is regarded as the behavior category that the video section finally belongs to.This embodiment can accurately intelligently identify and judge equipment operation behavior, to realize the human factor detection of control equipment, or automatic training / assessment etc..

The invention relates to a control system (80) for a technical plant (100), in particular a manufacturing or processing plant, comprising a plurality of user interfaces (1, 60) for operating and monitoring the plant (100), the user interfaces (1, 60) being designed to generate a plant visualization (2) for an operator of the plant (100). The control system (80) is designed to acquire information from the operators via the user interface (1, 60) during a runtime of the device (100) about an assignment of the device visualization (2) to one or more other of the operators, and thereby displaying on a user interface (1, 60) for one or more other of the operators a visual presentation (2) of the equipment, which is respectively assigned to the other operator. Runtime-dynamic and cross-operator collaboration of a preferential visual presentation of the device can thereby be achieved for the operation and monitoring of the device. Even for a distributed device using a mobile terminal device, an operator can efficiently coordinate.

The utility model relates to a workpiece placing and arranging device and a press machine using the same. The workpiece placing and tidying device comprises a limiting piece used for limiting the placing position of a workpiece on an operation table of equipment, a sensor used for detecting whether the workpiece is placed in place at the placing position or not and outputting a corresponding induction signal, and a detection circuit used for outputting an in-place signal when the workpiece is placed in place at the placing position based on the induction signal. The sensor is arranged on the side portion of the limiting piece, and the detection circuit is connected with the sensor and a control system of the device. The press machine comprises an operation table, a control system and a crimping assembly which is arranged above the operation table and controlled by the control system, and further comprises the workpiece placing and arranging device. According to the utility model, the workpiece can be placed in place, the workpiece is prevented from being damaged in the machining process, and the personal safety of equipment operators is guaranteed.