10 results about "Industrial management" patented technology

The invention discloses a data query method and device for an industrial management system, a storage medium and a server, and the method comprises the steps: receiving a field creation instruction from a front end, the field creation instruction being used for indicating a user-defined field created by a user in a business module of the industrial management system; defining a user-defined field in the query field class, and configuring a query table type associated with the user-defined field according to the service type of the service module; receiving a first query condition from the front end, wherein the first query condition comprises a custom field, a first query operator and a first query parameter; and according to the first query condition, performing query in a form belonging to the query table type associated with the user-defined field to obtain a first query result. According to the scheme provided by the invention, the query of the custom field created by the user in the industrial management system can be supported.

The invention relates to the technical field of industrial management, and discloses a composite material sharing intelligent manufacturing management system based on an industrial internet, which comprises a cross-layer state modeling and management and control strategy mapping module, the method comprises the following steps: firstly, based on multi-source process data, respectively quantifying the local cumulative strength of microdefects, the association degree of a macroscopic equipment operation sequence and the defect connectivity risk degree driven by space geometry, and aggregating the indexes into cross-layer self-organizing critical coupling state parameters; and then generating a resource scheduling weight vector and a geometric complexity load scaling coefficient through deterministic calculation, and dynamically adjusting a task allocation probability and an equipment bearing limit according to the resource scheduling weight vector and the geometric complexity load scaling coefficient. According to the method, active avoidance and decriticalization control over the critical risk of the manufacturing system are achieved, and high-quality and efficient collaborative production of complex components is guaranteed.

The invention discloses a nondestructive testing device for ingredients of fresh meat stuffing. The nondestructive testing device comprises a transmission module, a trigger module, a characteristic wavelength light source module, an imaging module, a data processing module, a result display module and a control box. According to the invention, the short-wave infrared camera is matched with the LED light sources with seven characteristic wavelengths to collect a multi-frame spectrum image sequence, so that the lossless rapid detection of components such as protein, fat and moisture of meat stuffing is realized. The acquired image is input into a deep learning model for content regression calculation after being subjected to normalization, background elimination and ROI (Region of Interest) extraction processing, and graph fusion and component prediction are completed through a data processing module. A detection result can be uploaded to an industrial management system in real time and used for automatically generating a material supplementing scheme and driving an execution unit, and closed-loop intelligent control of'detection-analysis-regulation 'is achieved. Compared with the prior art, the system has the advantages of compact structure, high acquisition speed, high data processing efficiency and high prediction precision, fully considers the feasibility of an actual production environment, is suitable for raw material inspection, production process monitoring and quality tracing of meat product processing enterprises, and has remarkable industrialization and application transformation potential.

The application discloses a low-redundancy minimal data table design method and system for industrial ERP / MES, and belongs to the technical field of industrial digitization and database architecture. The application realizes low redundancy, low association, high performance and easy maintenance of the data table through full-service field collection, default single-table aggregation, controllable split constraint, weak association mapping, unified data entry and minimal query control. The application forces single-table priority, splits at most into two tables, and performs at most one association in regular query, thereby solving the problems of excessive split, complex association, poor performance and difficult maintenance in traditional design from the root, and has the advantages of minimalism, high efficiency, stability and easy expansion, and is suitable for various ERP / MES / WMS industrial management systems and has been applied in actual production environment.

The present application relates to the technical field of industrial management, in particular to a cooling tower all-around safety protection and fault early warning system, comprising a "sound-chemical" data acquisition module, which acquires "sound-chemical" data sets; a corrosion risk identification module, which establishes a "sound-chemical" coupling model, carries out corrosion risk assessment on a target area, and outputs spatial positioning information; a responsibility node matching module, which automatically matches responsibility nodes and constructs an initial correlation between "corrosion points and responsibility nodes"; a cross responsibility identification and optimal response path generation module, which calculates the responsibility coverage conflict degree of each responsibility node by using a responsibility coverage conflict degree measurement model, and judges whether there is a cross node; if there is a cross node, a comprehensive scheduling scoring model is constructed, and based on the task response time delay, the load balancing index and the node priority weight, an optimal response path is generated; a task scheduling module, which according to the optimal response path, dispatches maintenance tasks to corresponding responsibility nodes in priority order for hierarchical collaborative response management.

The application relates to the technical field of data collectors, in particular to a WIFI connection data collector which comprises a data collection module, a WIFI communication module, a protocol conversion module and a main control module; the main control module is electrically connected with the data collection module, the WIFI communication module and the protocol conversion module; the collector is connected with a local area network through the WIFI communication module to establish a multi-device communication connection; the protocol conversion module is adapted to multiple industrial data protocols, bidirectional data interaction with PLC or external management software is realized, and digital management after data collection is completed. The application realizes multi-end synchronous data transmission, completely solves the limitation of WIFI single-device point-to-point connection, is matched with a signal amplification unit and a high-gain antenna, the communication distance in an unobstructed environment can reach 100 m, the communication distance in an obstructed industrial environment can reach 50 m, the transmission distance limitation of the WIFI protocol is broken through, the device is loaded with a special protocol conversion module, is adapted to multiple mainstream industrial protocols, and can be directly connected with PLC and industrial management software.

This invention discloses an AI-based intelligent management method, equipment, and medium for digital factories, relating to the field of industrial management technology. The method includes: acquiring and preprocessing production data; constructing a causal relationship graph based on the preprocessed production data, and writing hierarchical identifiers and mapping relationships into the causal relationship graph to obtain a target causal relationship graph; performing forward causal reasoning on the causal reasoning chains in the target causal relationship graph to form a control candidate set; performing reverse attribution on the control candidate set to locate anomaly propagation paths and writing them into the target causal relationship graph, updating the causal reasoning chains; triggering event-driven verification based on the control candidate set to obtain abnormal events, and extracting affected causal reasoning chains from the target causal relationship graph through these abnormal events to generate feedback information at each level. This invention improves the targeting of anomaly handling and the reliability of control recommendations by constructing and solidifying anomaly propagation path markers on the target causal relationship graph.

A method for performing intelligent industrial management on the basis of an MES. The method comprises: acquiring historical production data of an enterprise, analyzing the historical production data, and determining a production process, a production scale, and product characteristics; analyzing the product characteristics, and determining key control points in the production process; acquiring enterprise management requirements, and determining actual production requirements and personnel management requirements on the basis of the enterprise management requirements, the key control points, and the production scale; and on the basis of the actual production requirements and the personnel management requirements, developing a management module, and integrating an MES system. In this way, production links are accurately determined, and the utilization rate of an MES system is improved, thereby avoiding the waste of human resources. A dedicated MES system is customized for an enterprise, which reduces trial and error costs, thus more efficiently optimizing production processes, improving the production efficiency, enhancing the quality of products, optimizing personnel management, and improving the overall operation efficiency of the enterprise, such that the market competitiveness of the enterprise is strengthened.

The invention relates to the technical field of industrial management, and provides an industrial production fault intelligent diagnosis method and system based on multi-modal data. Real-time data in the industrial production process are obtained through an intelligent sensor; projecting the real-time data of different modalities to a high-dimensional space, determining cross-modal distance measurement, and constructing decoupled spatial-temporal characteristics through a spatial-temporal alignment matrix generated by the distance measurement; constructing a state evolution process through an attention mechanism according to industrial nodes and the spatial-temporal characteristics in industrial production, and generating a dynamic topological graph according to the state evolution process; based on the dynamic topological graph and node features in the dynamic topological graph, generating a causal path of a fault through a causal discovery model, and screening a fault root node from industrial nodes according to the causal path; and feeding back the causal path and the fault root node to a fault management terminal, thereby realizing efficient, accurate and reliable fault diagnosis and processing.

The invention relates to the technical field of operation monitoring, in particular to a characteristic industrial economic operation monitoring device and method based on multi-source heterogeneous data fusion, and the monitoring device comprises a data access module, a fusion modeling module, a real-time calculation module, an abnormity early warning module, a visual decision module and a data safety management module which are connected in sequence. The modules cooperate to realize multi-source heterogeneous data fusion and industrial economic monitoring; the monitoring method comprises the steps of data access, fusion modeling, real-time calculation, abnormity early warning, visual decision making and data security management. According to the invention, a data barrier can be broken, dynamic association of industry and electric power data is realized, monitoring real-time performance and accuracy are improved, abnormity early warning and decision support are enhanced, data safety is guaranteed, industrial efficient treatment is assisted, and cost reduction and benefit increase are realized.