6 results about "Commercial enterprise" patented technology

The invention discloses an industry and trade enterprise security risk intelligent management system and method, and relates to the technical field of information security. The method comprises the following steps: firstly, obtaining a preprocessed industrial and trade enterprise original image, and segmenting to obtain a sub-original image set; updating a preset chaotic mapping parameter according to historical data to obtain an optimized parameter, and inputting the optimized parameter into mapping iteration to generate a chaotic sequence set; then, scrambling and diffusion control keys are extracted from the sequence according to a preset rule, and the two keys are used for performing data conversion and encryption on the target original sub-image to obtain an encrypted sub-image; and then, according to a preset rule, storing the sub-encrypted images in different physical positions, and finally, through a preset transmission path, transmitting a storage path and the two secret keys to a cloud end. According to the method, parameters are optimized according to historical data to improve the key suitability and security, the complexity and cracking resistance are enhanced through chaotic encryption, the leakage risk is reduced through sub-image scattered storage, and the whole-process security of enterprise production monitoring image data is comprehensively guaranteed.

The invention relates to an industrial and commercial enterprise management method and system based on the Internet of Things, and the method comprises the steps: obtaining production operation data and equipment asset data through Internet of Things equipment, and generating a structured data set according to the classification of preset service labels; based on the production operation data set, optimizing a production plan and productivity matching through a constrained programming algorithm, and generating a production scheduling scheme in combination with an equipment state; based on the equipment asset data set, utilizing a machine learning model to predict an equipment fault and calculate a maintenance period, and combining a maintenance standard to generate an equipment asset maintenance plan; and performing time conflict detection and resource allocation optimization on the production scheduling scheme and the equipment asset maintenance plan, and generating a comprehensive management scheme through a multi-target priority ranking algorithm. According to the method, by dynamically coordinating production resources and equipment maintenance tasks, the productivity utilization rate and the equipment reliability are improved, the non-planned shutdown loss is reduced, and collaborative optimization of enterprise operation efficiency and cost control is achieved.

1. Name of the product in this design: Industrial and Commercial Energy Storage Cabinet Assembly. 2. Purpose of the product: This design is for an energy storage system designed and manufactured by an industrial and commercial enterprise, mainly used for storing and releasing electricity. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application belongs to the technical field of intelligent metering and user reminding in gas supply services, and discloses a kind of intelligent monitoring and hierarchical reminding method and system for account balance of industrial and commercial enterprises.The method collects multi-source data such as Internet of Things meter valve control platform and account billing platform, establishes account objects and performs data governance;converts the amount balance, gas volume balance or estimated limit into standardized balance, calculates the predicted daily gas consumption and the estimated available days in combination with historical gas consumption data, generates user clustering and personalized reminding thresholds;controls and issues hierarchical messages through state machine control and event-driven execution of regular inspection, and performs closed-loop optimization based on the sending results.The scheme is mainly used for balance monitoring, early warning and abnormal handling of prepayment gas accounts of industrial and commercial enterprises.

A system and method employing a versatile and dynamically adjustable multi-functional dashboard user interface are disclosed. In some implementations having utility in enterprise management applications, the disclosed dashboard user interface provides key or predetermined indicators related to the performance of a commercial enterprise across various business functions such as finance, human resources, marketing, and the like. The disclosed system and method may connect with disparate data sources and make those data available via a single login and single view (i.e., multi-functional dashboard user interface).

The application relates to a cloud-computing-based electric energy demand management method, which is suitable for general industrial and commercial enterprises, large-scale industrial enterprises and the like. A database is constructed, the database stores instantaneous active power of each municipal incoming line and corresponding time; for i municipal incoming lines, if the number of data with instantaneous active power greater than 0 exceeds 80% of the total number of data, the municipal incoming line power supply mark is marked as 1; after performing AND operation on the power supply marks of all municipal incoming lines, a working mode mark bit is obtained; if the operation result is 1, the working mode is simultaneous power supply; if the operation result is 0, the working mode is one standby; the application aims to combine cloud computing technology, big data technology and industrial field monitoring technology, automatically predict the demand change of electric energy, achieve timely early warning, intelligent analysis, reasonable suggestion, finally realize enterprise cost reduction and reduction of electric load fluctuation.