50results about "Registering/indicating machine production" patented technology

The invention relates to a computer-aided maintenance method (10) for correcting a fault condition (12) on a processing machine (14, 14a-c), comprising the method steps: a) Detecting (16) the fault condition (12) by identifying an error message (18) on the processing machine (14, 14a-c) and determining the time of the fault; b) Creating (22) a fault description (24) by determining fault data (26) at the time of the fault; c) Identifying (38) similar and / or identical fault conditions (42) by comparing (40) the fault description (24) with stored fault descriptions (42) by comparing the fault data (26) determined for the fault descriptions (24, 42); e) Issuing (50) a recommendation for action (52), including at least one suggestion for remedying the fault condition (12).

Method for detecting and evaluating an event during the operation of a sorting plant, wherein the method steps are executed on a monitoring system for machine parameters and / or material data streams of the sorting plant such that the monitoring system continuously records sensor data from aggregates and / or sensor data from machines and / or sensor data from machine components and / or sensor data from material streams 2; such that, after the sensor data of at least one sensor fulfills a detection criterion 5 defined for the respective sensor, in particular a defined threshold value, a timestamp is set in the memory, an event criterion is created, the existing sensor data remain stored assigned to the event criterion, and a pattern recognition routine is started,wherein the sensor data acquired from the timestamp onwards in a time interval of a predetermined duration are evaluated by means of the pattern recognition routine in such a way that a confidence value of 5 is repeatedly determined, and / or in such a way that, in the time interval, a decision is repeatedly made on the basis of the sensor data and / or on the basis of the currently determined confidence value of 5, such that a fault message is assigned to the event criterion and this is sent to at least one fault reporting point 13, 15, 16 or such that an event message is assigned to the event criterion and this is sent to a reporting point and the pattern recognition routine is executed again or such that the pattern recognition routine is aborted 14.,

The invention relates to a database establishment method and device based on ship VDR data. The method comprises the steps of obtaining original VDR data in VDR equipment and an associated storage medium; analyzing the original VDR data to obtain field features of the original VDR data; classifying the original VDR data based on the field features to respectively obtain time series data, structured data and vector data; a collaborative three-level association database is constructed, and the three-level association database comprises a time sequence database, a structure database and a vector database; and respectively storing the time sequence data, the structured data and the vector data in corresponding databases. And efficient application of the VDR data is realized.

The invention provides an agricultural work device, an agricultural work management system and a program, which can properly manage agricultural work information and can smoothly execute future agricultural work and business based on the utilization of the agricultural work information. A farming device (1) is provided with: a first imaging device; an agricultural work determination unit (34) that determines whether or not to perform agricultural work on an object on the basis of first image information obtained by capturing an image of the object by means of the first image capturing device; a farming execution unit (36) for executing farming on the basis of the determination result of the farming determination unit (34); a farming information generation unit (38) that generates farming information including farming results; a measuring unit that measures the position of the object; and a farming information management unit (40) that manages farming information and position information indicating the measured position.

The invention discloses a time sensor scheduling method based on a 5G deterministic network, and relates to the technical field of communication engineering, and the method comprises the steps: enabling an automatic equipment group to be wirelessly connected with a time sensor through a 5G network, and obtaining the real-time operation time, the remaining processing time and the maximum operation time of each equipment; calculating a load value according to the real-time operation time and the maximum operation time, judging the load condition of the equipment according to the load value, marking categories and sorting, and carrying out rest scheduling according to the category and sorting; task load division, preferential distribution of emergency tasks, reasonable distribution of conventional tasks and elastic tasks are carried out by combining the theoretical residual capacity of the equipment, the tasks are stored in a buffer pool for specific equipment application, the task completion condition is monitored in real time, and task load stripping and equipment category adjustment are carried out when necessary; according to the method, automatic equipment scheduling and task allocation can be optimized, the production efficiency is improved, and the equipment fault risk is reduced.

A method for evaluating a technical system comprising at least one electric motor is proposed. During an operational phase, an operational data set is recorded, comprising a plurality of measured variables, each of which comprises a plurality of measured values. The measured values ​​of each variable are recorded sequentially. Several temporally successive segments are extracted from the operational data set. Each segment of the operational data set is assigned to a class by a classifier. Each segment of the operational data set is then examined using at least one previously trained anomaly model. A warning message is issued if an anomaly is detected in any of the segments of the operational data set during the examination. A system according to the invention for evaluating a technical system comprises at least one anomaly model and one classifier.The system is set up to carry out the method according to the invention.

The application discloses a method for evaluating the loading operation performance of a excavator, an electronic device and a storage medium, and the technical scheme is that a gyroscope is installed on the left and right handles of the excavator, the fixed working condition and the fixed material throwing are excavated, the operation actions of the operating hand are recorded by the gyroscope, and the excavator operation performance is evaluated by the composite degree and the control time of each action of the handle. The application has the characteristics of simple operation and intuitive data.

The invention relates to a computer-implemented method for planning a tool change at at least one production plant (10), with at least one tool (14) which has a limited service life. It is proposed that in a process step (22) at least one monitoring parameter of the tool (14) is retrieved from a planning program, and in a further process step (24) at least on the basis of the retrieved monitoring parameter an end of the tool's service life (14) is estimated and a reorder of the tool (14) is automatically planned.

Technical system for the distributed acquisition and state-dependent evaluation of usage-related interaction signals in digital transaction environments, comprehensive an interaction signal acquisition unit, designed to capture usage-related signals generated during a transaction process, a state mapping unit, designed to convert the acquired signals into a structured usage state representation, and an evaluation coordination unit, designed for the coordinated processing of multiple usage state representations from different transaction environments, whereby the evaluation is based on the state representations without central storage of the underlying raw signals.

This disclosure provides an optimization method, system, electronic device, medium, and program product for an excavator, relating to the field of excavator technology. The optimization method includes: acquiring excavator operation data; dividing each work cycle of the excavator into multiple work stages based on the operation data; evaluating the operation performance of the excavator in each work stage based on the operation data of each work stage; and optimizing at least one of the excavator's components and operating level based on the evaluation results of each work stage.

The invention relates to a method for operating a conveyor device (2) for conveying objects (70), the conveyor device (2) having: a circulating conveyor line (10) with one or more movable conveyor devices (20) for supporting the objects (70); and a maintenance device (30) for detecting the transmission line (10), the method comprising: moving the maintenance device (30) along the transmission line (10); detecting the transmission line (10) by means of the maintenance device (30) in order to acquire information about the top side (12) and / or the bottom side (14) of the transmission line (10); and comparing the acquired information with previously known information about the transmission line (10) to find geometric deviations in the transmission line (10). The invention also relates to a conveyor device (2) and a use.

The present invention relates to the technical field of thermal systems and provides a remote monitoring and management system for thermal systems, comprising: a data acquisition module for acquiring real-time thermal system data from data acquisition points of a thermal system; a first storage module in which historical thermal system data from the data acquisition points of the thermal system is stored; a second storage module in which standard thermal system data from the data acquisition points of the thermal system is stored; and a local monitoring terminal that is electrically connected to the data acquisition module and the thermal system and communicatively connected to a remote monitoring and management terminal, wherein the remote monitoring and management terminal is electrically connected to the first storage module and the second storage module.The present invention ensures a reliable assessment of the operating condition of the thermal system.

The application discloses a machine tool effective working hour metering method, device, equipment and storage medium, and relates to the technical field of numerical control machine tool control. The method comprises the following steps: after detecting a permitted personnel identifier, collecting multi-dimensional running data of a target machine tool in a running process; obtaining a current interactive operation scene triggered by the multi-dimensional running data; and determining effective running working hours of the target machine tool according to the current interactive operation scene and a preset working hour metering rule. The application binds user operation behavior characteristics and machine tool equipment state data, dynamically matches a man-machine interactive operation scene through collected multi-dimensional running data, and accurately meters machine tool effective processing working hours according to a current interactive operation scene recognized in real time and a preset working hour metering rule which is individually set according to different interactive operation scenes. Compared with an existing working hour metering method which relies on manual recording or independent sensors, the application can distinguish different operation scenes, realize scene-based intelligent decision-making, and improve working hour metering accuracy.

The invention relates to a method for fault diagnosis of a motor-driven, in particular electro-motor-driven, processing device (12) comprising at least the following steps (60, 62, 66, 68, 70, 78, 80, 82): • Starting the processing device (12) by an operator, • Detection of a signal (S) during the operation of the processing device (12) by means of a first sensor (34) integrated in the processing device (12); • Calculate at least one value distribution (48) of the within a defined time window (T m ) detected signal (S); • Determining a load-idle limit value (Th1) by evaluating the value distribution (48) to determine at least one idle state (F) of the processing device (12); • Taking into account values ​​of the signal (S) and / or additional measured values ​​acquired by means of at least one further sensor (54) integrated in the processing device (12) for fault diagnosis, which are attributable to the idle state (F) and • Ending the fault diagnosis after reaching another limit value (Th2) and / or after the expiry of another defined time window (T) D ). Furthermore, the invention relates to a processing device (12) with a motor, in particular an electric motor (24), a first sensor (34) designed as a measuring resistor (44), vibration sensor (46) and / or switch (50) for determining an idle state (F) and an electronic unit (26), in particular a control or regulating electronic unit, for carrying out the method according to the invention.

The invention discloses a distributed data security storage and access control method oriented to engineering machinery, relates to the field of engineering machinery, solves the problem of poor storage effect of the existing distributed data security storage method, and comprises the following steps: S1, performing data analysis on instrument working data generated in each engineering instrument area, the method comprises the following steps: S1, carrying out distributed storage demand analysis on an engineering instrument area according to an analysis result, carrying out data generation amount monitoring data acquisition on each engineering instrument area according to the analysis result, and obtaining construction project monitoring data, S2, carrying out distributed storage demand analysis on one engineering instrument area according to the construction project monitoring data, and obtaining storage demand analysis data according to the analysis result, and S3, carrying out distributed storage demand analysis on the engineering instrument area according to the analysis result. And according to the storage demand analysis data, carrying out storage mode matching on each engineering instrument area, and carrying out access authority control on the distributed storage engineering instrument areas, so that the storage matching degree of the distributed data storage mode and the engineering instrument data can be improved.

The utility model discloses an automatic liquid outlet monitoring management system, which comprises a liquid outlet bottle, an electronic tag, an intelligent gateway, a management platform and an automatic liquid outlet device, the automatic liquid outlet device is movably connected with the liquid outlet bottle, the electronic tag is arranged on a pump head of the liquid outlet bottle, the automatic liquid outlet device comprises a PCB (printed circuit board), a main control chip, an NFC (near field communication) module and a LoRa communication module are arranged on the PCB, and the LoRa communication module is connected with the intelligent gateway. The NFC module is electrically connected with the input end of the main control chip, the output end of the main control chip is electrically connected with the LoRa communication module, the LoRa communication module is in communication connection with the input end of the intelligent gateway, and the output end of the intelligent gateway is in communication connection with the management platform. The whole process from purchasing to using of the disinfectant can be monitored and managed.

The application discloses an energy-saving data collaborative management system and method based on big data analysis, relates to the technical field of energy-saving data collaborative management, and comprises the following steps: obtaining a target region by evaluating the temperature change abnormal condition of an evaluation region in a central air conditioner refrigeration process; analyzing the correlation degree of a monitoring index in a historical environment monitoring record and people flow in the target region, and predicting the people flow change condition in the target region in a current period; obtaining cold load demand data by analyzing the cold load demand condition of the target region in the current period; obtaining the cold load demand data of different regions in a building in the current period, obtaining equipment energy-saving data of the central air conditioner, combining the cold load demand data, generating a control strategy of the central air conditioner, and collaboratively managing refrigeration in different regions based on the control strategy, so that not only is the cold load demand of each region ensured to be met, but also the energy consumption of the central air conditioner during work is greatly reduced, and the energy consumption is significantly saved.

Measurement result analysis device (1), comprising: a measurement result classification unit (11d) that classifies measurement result information based on the measurement result information in which measurement results of a machine tool and measurement attributes of the measurement results are correlated; a reference information acquisition unit (11f) which acquires reference information including classification of the measurement result information based on the content of an analysis result for which it is instructed to output in relation to the measurement result information; and an analysis result output unit (11g) that outputs an analysis result for the measurement result information based on the reference information which is captured by the reference information acquisition unit (11f).

In a process for analyzing malfunctions in refrigeration systems and / or building technology systems, a fault message is received, and the fault causes associated with one or more of the received fault message are determined from a database. Furthermore, for each identified fault cause, an associated fault probability and one or more corresponding repair measures are retrieved from the database. For each repair measure, a corresponding repair success probability is determined, and the identified fault causes, along with their respective repair measures, are output in a fault cause sequence and a repair measure sequence according to the determined fault cause probabilities and repair success probabilities.

The invention relates to a method for maintaining an electronic logbook (1) of a technical device, in particular a machine and / or a system, wherein messages (2) generated by components of the technical device are stored as entries in the electronic logbook (1). The entries and / or messages (2) are examined by means of software (3) executed on a computer, and messages (2) and / or entries are summarized, marked, and / or deleted by the software (3) executed on the computer, in particular to reduce the number of entries and / or messages (2).

A method for evaluating a technical system is proposed. During an operational phase, several operational data sets are recorded by a computer. Each set comprises a plurality of measured variables, with each measured variable containing a plurality of measured values. The measured values ​​of each measured variable are recorded sequentially. The recorded operational data sets are checked on the computer by an anomaly model. Aggregated values ​​are calculated from the measured values ​​of operational data sets identified as normal by the anomaly model, and these aggregated values ​​are stored. The measured values ​​of the operational data sets identified as normal by the anomaly model are discarded. A system according to the invention for evaluating a technical system comprises a computer. The computer includes an anomaly model for checking recorded operational data sets.The system according to the invention is set up to carry out the method according to the invention.

The invention relates to the technical field of industrial production, in particular to a data acquisition method, device and equipment for a high-frequency generator, and the method comprises the steps: determining a target high-frequency generator according to a data acquisition instruction when the data acquisition instruction is obtained, and transmitting the target high-frequency generator to a TMCC card; acquiring high-frequency data of a target high-frequency generator sent by the TMCC card; and decoding the high-frequency data to obtain working parameters of the target high-frequency generator, and sending the working parameters to data storage equipment for storage. Therefore, through the data acquisition method of the high-frequency generator provided by the invention, the data in the TMCC card instead of the data in the PLC is acquired, so that the problems of insufficient data timeliness, insufficient precision and the like caused by the fact that the PLC processes the data can be overcome, and the problem that key data in the high-frequency generator cannot be acquired is solved.

A technology capable of adequately monitoring the state of a rotating device (100) is provided. A monitoring device (200) according to an embodiment of the present disclosure monitors the state of the rotating device (100) based on reference data indicating the operating state of the rotating device (100) under predetermined operating conditions when a monitoring-target-specific state does not occur (reference data during non-occurrence), and measurement data indicating the operating state of the rotating device (100) under the predetermined operating conditions, measured during a trial run of the rotating device (100) in a usable state or during the initial use of the rotating device (100) (initial data).

A remaining lifetime estimator comprises a relationship acquisition unit (102), an actual information acquisition unit (103), a relationship correction unit (104), a scope of use information acquisition unit (105), and a remaining lifetime estimator unit (106). The relationship acquisition unit receives a standard remaining lifetime determination relationship (40) from which the remaining lifetime is determined based on scope of use information of the electronic device. The actual information acquisition unit receives lifetime factor actual information relating to a lifetime factor that causes a change in the remaining lifetime. The relationship correction unit corrects the standard remaining lifetime determination relationship based on the lifetime factor actual information. The scope of use information acquisition unit receives scope of use information of the electronic device.The remaining service life estimation unit estimates the remaining service life based on the usage scope information and the corrected remaining service life determination relationship.

To provide a technique capable of appropriately monitoring a state of a rotating device.SOLUTION: The monitoring device 200 according to an embodiment of the present disclosure monitors the state of the rotation device 100 based on reference data at the time of non-occurrence of a specific state of a monitoring target (non-occurrence time reference data), which represents the operation state of the rotation device 100 under a predetermined operation condition, and measurement data (initial data), which represents the operation state of the rotation device 100 under a predetermined operation condition and is measured at the time of a test operation or an initial operation in a state where the rotation device 100 is operable.SELECTED DRAWING: Figure 4

Methods (200, 300, 400, 600) for determining the remaining service life of a gearbox (5), in particular for industrial drive technology, comprising: determining at least one total damage experienced over the gearbox's service life to date by at least one monitored component of the gearbox (5), wherein determining the total damage of a monitored component comprises: determining a load experienced by the monitored component in a current time period; determining a damage state indicator of the monitored component for the current time period based on operating data of the gearbox (5), wherein the damage state indicator indicates a damage state of the monitored component in the current time period; determining a weighting factor based on the damage state indicator of the monitored component;Determining a weighted partial damage of the monitored component for the current time period, wherein the weighted partial damage is determined based on the load of the monitored component, the weighting factor and a statistical model of the lifetime of the monitored component; and determining the total damage of the monitored component based on the weighted partial damage; and determining the remaining lifetime of the gearbox (5) based on the at least one total damage of the at least one monitored component.;

Techniques are described for measuring and characterizing the behavior of turbomachinery using radio frequency sensors. The characterization of the turbomachinery produced by the techniques described herein may, for instance, improve engine design processes and / or allow for real-time and / or in-flight monitoring of engines. According to some embodiments, the techniques described herein comprise arranging a plurality of radio frequency antennas proximate to a rotating portion of an engine, such as a shaft coupled to a plurality of rotor blades. In some embodiments, the radio frequency antennas may be placed around a cavity formed by a housing, such as a compression cavity or a turbine cavity in a jet engine.

A system and method for detecting abnormal operating conditions in a machine through the analysis and comparison of radar areas after the transformation of waveform data collected from machine parts. The system and method may detect abnormal operating conditions at times when the machine under evaluation remains fully operational in its intended working environment. The system and method may identify abnormal machine function at a point in the machine wear cycle when an abnormal function is not apparent to a human observer.

The invention provides a gas turbine washing cycle determination method and device and a related product, and relates to the technical field of power generation. The method comprises the steps of calculating current efficiency of a gas compressor according to operation data of a gas turbine; from the angles of mass balance and energy balance of a gas working medium in the working process in the gas turbine, a soft measurement value of the current flow of the gas compressor is calculated through a parameter soft measurement means; calculating according to the soft measurement value of the current flow of the gas compressor to obtain a current through-flow capability coefficient of the gas compressor; and based on the current efficiency of the gas compressor and the current through-flow capacity coefficient of the gas compressor, the gas turbine washing period is determined. According to the embodiment, the current efficiency of the gas compressor is calculated on line through the operation data of the gas turbine; the reduction of the through-flow capacity is used as a main influence factor of the scale deposition of the blade of the gas compressor, the water washing period is comprehensively judged according to the current through-flow capacity coefficient of the gas compressor in combination with the current efficiency of the gas compressor, and a water washing suggestion is given.