68results about "Registering/indicating machine production" patented technology

A diagnostic device includes a reception unit and a determination unit. The reception unit is configured to receive context information and sensing information. The context information corresponds to a certain operation of a target item that constitutes a target device. The context information is a piece of a plurality of pieces of context information each describing an operation of the target item determined depending on a type of operation of the target device. The sensing information is on a physical quantity that varies in accordance with the operation of the target item. The determination unit is configured to determine a state of the target item based on the sensing information detected while the target item is performing the certain operation, and based on a model corresponding to the received context information. The model is a model of one or more models respectively defined for one or more pieces of the context information.

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.

To provide a diagnostic device, diagnostic method, program and diagnostic system that can improve the accuracy of diagnosing an operation state.SOLUTION: A diagnostic device comprises: a reception unit that receives, from an object device, context information corresponding to a prescribed operation of multiple pieces of context information defining operation of operation objects forming the object device determined with respect to each type of operation performed by the object device, and detection information on a physical quantity changing in response to operation of the operation objects; and a determination unit that determines the state of an operation object by using the detection information when the operation object is during the prescribed operation and a model corresponding to the received context information of one or more models determined for each of the one or more pieces of context information.SELECTED DRAWING: Figure 4

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.

Method (1) for determining (8) at least one operating parameter of a hand-held household appliance (2), characterized in that at least the following method steps are included: - Acquiring (3) measurement data from at least one sensor of at least one data processing device (5) worn close to the body by a user (4) during the use of the handheld household appliance (2), wherein the sensor measures vibrations generated by the handheld household appliance (2) which are at least partially transmitted to the body of the user (4), - Determine (8) at least one operating parameter of the hand-held household appliance (2) using at least some of the measurement data.

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 discloses an energy-saving data collaborative management system and method based on big data analysis, and relates to the technical field of energy-saving data collaborative management, and the method comprises the steps: evaluating the temperature change abnormal condition of an area in the refrigeration process of a central air conditioner, and obtaining a target area; analyzing the correlation degree between the monitoring index in the historical environment monitoring record and the people flow in the target area, and predicting the people flow change condition in the target area in the current period; analyzing the cold load demand condition of the target area in the current period to obtain cold load demand data; cold load demand data of different areas in a building in the current period and equipment energy-saving data of the central air conditioner are obtained, a control strategy of the central air conditioner is generated in combination with the cold load demand data, and refrigeration in the different areas is cooperatively managed based on the control strategy, so that it is guaranteed that cold load demands of all the areas are met, and the energy-saving performance of the central air conditioner is improved. And the energy consumption of the central air conditioner during working is greatly reduced, and the energy consumption is obviously reduced.

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 the field of food processing, and discloses a data processing-based food production identification tag generation method and system, and the method comprises the steps: collecting order information and historical production records; according to the order information and the historical production record, a production plan is formed through a plan generation strategy; performing product production according to the production plan; collecting production data; according to the production data, through a comparison strategy, comparison result data is formed; and according to the production data, the product is packaged through the packaging execution strategy, and tray label information is generated. According to the food production identification label generation method and system based on data processing, when product packaging and stacking are completed, the number of products stacked on a tray, the weight of each product stacked on the tray and the product inspection data of the products stacked on the tray can be automatically obtained, tray label information is generated, the tray label information is printed out, and the production efficiency is improved. Tray label information does not need to be manually recorded.

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.

The invention relates to a remote control module (20) for a self-propelled work machine (12). The remote control module (20) has an end-device data interface (22) for exchanging data with a mobile end-device (14) via an end-device data protocol specific to the end-device type, and a work machine data interface (24) for exchanging data with the work machine (12) via a work machine data protocol specific to the work machine type.A processing unit (26) is adapted to determine the identity and type of the mobile device (14) and the identity and type of the work device (12) via the respective data interface (22, 24) or to retrieve them from a data storage device (28) when the mobile device (14) is coupled with the self-driving work device (12), to translate the respective data protocols mutually during data exchange between the device (14) and the work device (12), and to transmit machine control data (MCD) from the device (14) to the work device (12) and machine status data (MSD) from the work device (12) to the device (14).

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).

Method for evaluating a residual service life of a part of a hydraulic system, and associated electronic device The invention relates to a method for evaluating a residual service life of a part of a hydraulic system, the method being implemented iteratively on k=1..K portions of data and comprising: a determination, for a portion k of data, of a value representative of damage to the part since an original instant, said value being determined as a function of a value representative of partial damage determined for the portion k and as a function of a value representative of damage determined for a portion k-1 of said data; and an evaluation, for the portion k, of a relative residual service life of the part, as a function of the value representative of damage to the first part since an original instant. Figure for abstract: Fig. 1.

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.