11 results about "Smart office" patented technology

The invention provides an intelligent file evaluation method and system based on cooperation of a multi-modal large model and a rule engine, and the method comprises the steps: carrying out the multi-modal content analysis of a file file, and generating an analysis result set containing a content segment, a page number identifier, a region position identifier, layout type information and a credibility score; combining the field description text with the anchor point description text to generate a structured evaluation fact set; inputting the set into a rule engine, executing normative rule judgment and generating a verification result with a judgment score; and finally, according to an evaluation dimension aggregation rule result, outputting a dimension score, an overall evaluation score and a question detail item. The system comprises a multi-modal content analysis module, an evaluation fact generation module, a rule engine module and an evaluation result output module. According to the method, high-precision automatic evaluation of complex file documents is realized, the evaluation efficiency and consistency are improved, and the method is suitable for smart office scenes.

1. The name of the design product: mobile phone expansion module. 2. The use of the design product: for connecting mobile phones with smart office hardware, and wireless charging for mobile phones. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention discloses an intelligent office resource dynamic prediction and scheduling system based on machine learning. Comprising an employee concentration collection module, a task information analysis module, an equipment hidden loss monitoring module, a network load detection module, a demand priority calculation module, a resource matching degree calculation module, a dynamic adjustment module, a scheduling execution module and a machine learning optimization module, and all the modules establish a real-time data interaction mechanism. The weight coefficient is dynamically optimized through multi-module cooperation and machine learning, and accurate scheduling of office resources is achieved. According to the system, the problem that existing scheduling only depends on task urgency and does not consider multiple key factors is solved, the resource scheduling adaptability and stability are improved, and the dynamic requirements of smart office are met.

The application relates to the technical field of digital twinning and environment control, and discloses a smart office space management method based on a digital twinning technology, which comprises the following steps: constructing a lumped parameter network model to calculate theoretical state data, calculating a state residual error vector of measured data and the theoretical data, decoupling the residual error into a transient load disturbance component and a structural parameter drift component through a double-frequency band filter, inversely projecting the transient component into an equivalent disturbance parameter injection model for advance deduction by using a model inverse dynamics principle, and identifying and correcting a model structure parameter matrix by using a gradual state component; through frequency domain decoupling and reverse analysis of the state residual error, the software-defined perception of unmeasurable implicit loads and the internal adaptive correction of model aging drift are realized, response lag of a large thermal inertia system is avoided, and the self-evolution ability of the system in the whole life cycle is improved without additional hardware investment.

The invention relates to the technical field of visual communication, and discloses a multi-modal visual communication display device, which comprises a multi-modal sensing module used for collecting environment parameter data and user interaction data, and the environment parameter data at least comprises environment light intensity and environment color temperature; the user interaction data at least comprises a user gesture action, a user sight direction and a voice instruction; the wireless communication module is integrated, various communication protocols such as Wi-Fi, Bluetooth and NFC are supported, remote control and data interaction with an external terminal can be achieved, meanwhile, different application scenes such as an intelligent cabin, intelligent office display and public information display can be flexibly adapted through the modular design and the self-adaptive display strategy, and the application range is wide. Compared with the defect of single scene adaptability in the prior art, the method has the advantages that the universality and expandability of the device are remarkably improved, and the customization development cost in different scenes is reduced.

The invention discloses a low-delay self-adaptive wireless audio transmission data security method and system, relates to the technical field of wireless audio transmission, and aims to solve the problem that an existing wireless audio system cannot effectively identify and cope with specific signaling traffic generated by non-audio application in an intelligent office environment. The method comprises the following steps: analyzing a data stream received by a wireless network interface in real time to identify specific signaling traffic generated by a non-audio application; correcting the channel quality evaluation result according to the identification result of the specific signaling flow so as to isolate the influence of the specific signaling flow when evaluating the channel condition; and determining a transmission strategy of the audio data and a radio frequency front-end gain control strategy of the receiving end according to the corrected channel quality evaluation result, and executing the transmission strategy and the radio frequency front-end gain control strategy.

1. Name of the product in this design: Graphical User Interface for Intelligent Office System for Electronic Devices. 2. Purpose of this design: Smart home data integrated management and service system. 3. The key design features of this product are the graphical user interface content on the screen. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the Graphical User Interface: Design 1's main view is the login interface. Entering the username and password and clicking the "Login" button in Design 1's main view displays the interface changes shown in Figure 1. Figure 2 shows the "Office Management" interface of Figure 1's interface changes. Figure 3 shows the "Announcement Management" interface of Figure 2's interface changes. Design 2's main view is the login interface. Entering the username and password and clicking the "Login" button in Design 2 displays the interface changes shown in Figure 1's interface changes. Figure 2 shows the "Office Management" interface of Figure 1's interface changes. Figure 3 shows the "Approval Management" interface of Figure 2's interface changes. Design 3's main view is the login interface. Entering the username and password and clicking the "Login" button in Design 3 displays the interface changes shown in Figure 1's interface changes. Figure 2 shows the "Office Management" interface of Figure 1's interface changes. Figure 3 shows the "Plan Management" interface of Figure 2's interface changes.

The present disclosure provides a question and answer method and device, electronic equipment and storage medium, relates to the technical field of artificial intelligence, in particular to the technical field of natural language processing, large language model and smart office. The specific implementation scheme is: in response to a question and answer request, determining a plurality of first target example texts from a plurality of example texts included in an example text library based on a question text included in the question and answer request; performing reinforcement learning on a first large language model using the plurality of first target example texts to obtain a second large language model; and inputting the question text into the second large language model to obtain an answer text for the question text.

The invention belongs to the technical field of intelligent office resource management and data processing, and relates to an intelligent office space configuration and reconstruction system based on dynamic demand identification, which uses a data synchronous acquisition module to align logs and sensor data streams; the event capturing and locking module captures a strong semantic work event and defines an effective analysis time period; the data slice generation module intercepts environment parameters and injects working intention attributes to generate data slices; the efficiency analysis and extraction module generates multi-dimensional efficiency evaluation indexes for different intentions; the efficiency feature kernel construction module constructs a space efficiency feature kernel; the efficiency differentiation diagnosis module calculates a weighted feature distance and generates a mismatch signal when the weighted feature distance exceeds a threshold value; and the spatial reconstruction strategy generation module retrieves the candidate module and performs virtual layout deduction to generate a reconstruction strategy. The problem that the matching degree between the physical environment and the specific task requirement is low due to the fact that the specific work intention is difficult to perceive in an existing scheme is solved.

The application provides a computing power performance bottleneck intelligent optimization method and system for smart office application, and the method comprises the following steps: collecting user behavior and system resource state data through a sliding window, and constructing a structured task context sequence; a resource-aware attention mechanism is used to identify the current office task type and scheduling priority; based on the task type and priority, nodes are screened from a resource prototype library and a weighted resource path graph is constructed according to a task conditional prior, and a graph-level representation is obtained through graph neural network coding; a structure attention mechanism is used to generate a path-oriented scheduling plan, and a complexity regularization term is introduced to suppress high-cost actions; the task priority is used to dynamically control the instruction execution rhythm, and the state is resampled and the weight is calculated to quantify the improvement effect of the scheduling on the bottleneck path. The application is task-centered, realizes closed-loop optimization from identification to execution, and significantly improves the response fluency of office tasks.

The utility model discloses a multifunctional docking station controller which comprises a power supply module, a main control module, a USB expansion module, a lamp strip control module, a PD fast charging module, a voice recognition module and a human body induction module, and the USB expansion module is used for expanding multiple paths of USB interfaces; the lamp strip control module is used for performing light control on the LED lamp strip; the PD fast charging module is used for fast charging external equipment; the voice recognition module is used for collecting and recognizing a voice instruction, and performing voice control on one or more of the lamp strip control module, the USB expansion module and the PD fast charging module through the main control module; the human body induction module is used for collecting human body signals, and the main control module controls the light control module to turn off the LED lamp strip when the human body induction module detects that no human body signal exists. The intelligent desktop device has multiple functions of rich interfaces, power supply, light effect, voice interaction and the like, meets different requirements in multiple scenes such as e-sports rooms and intelligent offices, and realizes expansion and management of the intelligent desktop device.