58 results about "Visual comparison" patented technology

The invention discloses a medical aid decision-making system based on a multi-modal large model, and relates to the technical field of medical artificial intelligence, and the system comprises a multi-modal data fusion module, a treatment scheme coding and management module, a prognosis prediction model module, a scheme simulation and deduction module, and a visual comparison module. The comprehensive state vector of a patient and the action vector of a candidate treatment scheme are jointly calculated, multiple long-term prognosis indexes after the scheme is executed are directly simulated, the model converts the treatment scheme into a computable variable by learning rules in historical treatment data, probabilistic prediction is carried out on a future result, and the prediction accuracy is improved. This enables a doctor to clearly see the risk brought by different selections and the long-term influence of treatment changes before making a decision, thereby converting the decision mode from experience-based inference to future simulation-based anticipation.

The invention relates to the technical field of visual position recognition, and particularly discloses a multi-modal visual position recognition reordering method and system based on guidance, and the method comprises the steps: obtaining a query image, and retrieving a plurality of candidate images based on a pre-trained visual basic model and the query image; constructing a composite multi-modal prompt object, wherein the composite multi-modal prompt object comprises an image pair formed by the query image and the current candidate image, and an instruction text used for guiding a multi-modal large language model to perform visual comparison; outputting a structured similarity judgment result, wherein the result comprises a quantitative similarity score; and sorting based on the similarity scores corresponding to all the candidate images, and determining the candidate image with the highest score as an optimal matching result. Through combination of guiding type prompt engineering and structured output, an intermediate text generation link is avoided fundamentally, and the calculation efficiency is improved while the fidelity of all original visual information is reserved.

The invention provides a document information intelligent extraction and comparison method and system, and relates to the technical field of document intelligent processing analysis, and the method comprises the following steps: obtaining a comparison document and a to-be-compared document, and converting the comparison document and the to-be-compared document into PNG images; selecting a comparison area and a to-be-compared area, and preprocessing the PNG image to obtain a comparison area image and a to-be-compared area image; performing table recognition based on the comparison region image and the to-be-compared region image; according to the table recognition result, extracting a comparison text and a to-be-compared text; semantic understanding is carried out based on the comparison text and the to-be-compared text; and performing retrieval and text difference comparison according to the semantic understanding result to obtain row-level difference and character-level difference, and generating a visual comparison report based on the row-level difference and the character-level difference. The method can adapt to processing of multiple types of documents, is high in precision of complex table recognition and semantic understanding, supports analysis and comparison of specified areas or contents, and is visual in comparison result difference display.

The invention provides a real-time interaction-oriented index aperture unified processing method, computer equipment and a computer program product, and belongs to the technical field of artificial intelligence, and the method comprises the following steps: receiving and analyzing a dictation request of a user, and generating a structured context state vector; based on the context state vector, obtaining a plurality of candidate denominator calibers matched with the dictation request and a basis thereof from a calibers knowledge base; generating a constraint strategy set based on the context state vector, the candidate denominator caliber and the basis thereof; based on a constraint strategy set, performing consistency judgment through the candidate denominator calibers to determine a unique denominator caliber; based on the unique denominator caliber, generating an index description format final draft, and embedding a restriction rule for prohibiting visual comparison of inconsistent indexes into the index description format final draft; and rendering in a data visualization interface according to the index description format finalization and the restriction rule thereof, and intercepting and guiding the parallel display operation violating the restriction rule in real time.

This application provides a method, computer device, and computer program product for unified processing of indicator definitions for real-time interaction, belonging to the field of artificial intelligence technology. The method includes: receiving and parsing a user's verbal request and generating a structured contextual state vector; based on the contextual state vector, obtaining multiple candidate denominator definitions and their basis from a definition knowledge base that match the verbal request; generating a set of constraint strategies based on the contextual state vector, the candidate denominator definitions, and their basis; based on the set of constraint strategies, performing consistency adjudication through the candidate denominator definitions to determine a unique denominator definition; generating a finalized indicator description format based on the unique denominator definition, and embedding a restriction rule for prohibiting the visual comparison of inconsistent indicators into the finalized indicator description format; rendering the finalized indicator description format and its restriction rule on a data visualization interface, and intercepting and guiding parallel display operations that violate the restriction rule in real time.

The invention discloses a crack image segmentation method based on a bidirectional structure sensing cascade network. The crack image segmentation method comprises the steps of performing preprocessing based on a collected crack image; performing block processing and position coding on a crack image in the preprocessed data to obtain coded image data; obtaining a BiScaNet network model based on a mixed objective function combining binary cross entropy loss and Dice loss; after feature extraction is carried out on the coded image data, fusion and decoding are carried out on features of different scales, and a pixel-level segmentation image is generated; and carrying out an ablation experiment and outputting evaluation indexes, and carrying out visual comparison on the pixel-level segmentation image and segmentation images of other models. According to the invention, the scanning strategy in the Mama architecture is improved, and the BiSS module is provided, so that the modeling capability of crack multi-direction extension and complex topological structures is remarkably enhanced.

The utility model relates to a flowmeter display platform, which belongs to the technical field of flowmeter display and comprises a display rack, a display groove is arranged in the display rack, a water pipeline is fixedly mounted in the display groove, different flowmeter bodies are fixedly mounted at different positions of the water pipeline, and the number of the flowmeter bodies is nine. Wherein the four flow meter bodies are connected in parallel, a water valve is installed on one side of each flow meter body connected in parallel, a water tank a is embedded in the display rack and located on the left side of the display groove, and a water tank b is embedded in the display rack and located on the right side of the display groove. The beneficial effects of the utility model lie in that the flow can be controlled by adjusting the water valve, and then the reading change of the flow meter body can be observed, and in the exhibition item, various flow meter bodies are displayed together to form mutual reference and comparison, so that audiences can understand the working principles of different flow meter bodies in a visual comparison mode, and the working efficiency is improved. And an interaction mode of adjusting the flow of the water pipeline is integrated to attract audiences.

The invention relates to the technical field of front-end development, and discloses a page exception judgment method and device, equipment, a medium and a program product, document object model nodes and document object model elements of a target page are obtained, and a target node is screened out from the document object model nodes according to business data corresponding to the target page; performing structural feature analysis on the target nodes according to a preset measurement index to obtain a structural feature analysis result, and performing semantic analysis on the document object model element in each target node to obtain a semantic analysis result; and determining whether the target page is abnormal or not based on the structural feature analysis result and / or the semantic analysis result. Structural feature analysis is performed on the target node so as to capture the structural distortion problem caused by compatibility, dynamic loading or rendering errors, and the limitation that visual comparison lags behind and is easily influenced by UI iteration is broken through; and semantic analysis is performed on the DOM elements in the nodes, so that the defects of narrow attribute monitoring range and low accuracy are overcome.

The invention relates to the technical field of intelligent manufacturing, in particular to an intelligent manufacturing unit-oriented integrated industrial robot control system, which comprises an integrated control center, an initial interaction module, a task scheduling module, a dynamic collaboration module, a collaboration presentation module and an early warning response module, according to the method, identification, matching and testing of robot communication protocols are automatically completed, the equipment access time is remarkably shortened, meanwhile, it is ensured that all robots can stably complete data interaction, system access dead angles caused by protocol incompatibility are avoided, candidate equipment is screened based on production task requirements and the real-time states of the robots, and the production efficiency is improved. Meanwhile, the task execution error probability is reduced through multi-dimensional comprehensive evaluation and in combination with a load capacity deep screening robot, in addition, in the material grabbing link, center deviation is judged through visual comparison, re-grabbing or abnormal early warning is automatically triggered, production stagnation caused by material grabbing errors is reduced, along with reasonable path planning, the production efficiency is improved, and the production cost is reduced. And the robot driving path safety is ensured.

A whole building or campus entity, energy management and energy control optimization, data presentation and visualization dashboard system including a computer processor service provider system, wherein the computer processor service provider system comprises a cloud-based computer processor service provider system comprising: at least one application server comprising the whole building or campus entity, energy management and energy control optimization system executing in the cloud-based computer processor service provider system; and an onsite energy controller coupled to the cloud-based computer processor service provider system by an electronic communications network; wherein said onsite energy controller comprises: at least one electronic computer processor; and at least one electronic computer memory coupled to said at least one electronic computer processor; wherein said at least one electronic computer processor of said onsite energy controller is configured to: reduce energy and demand costs through whole building or campus entity energy management of a building or campus entity load including by being configured to at least one or more of: optimize energy usage; optimize energy generation; maximize demand reduction and utility savings through optimal control of: the energy usage, and the energy generation, or reduce energy costs; and use of at least one energy storage system device; simulate said building or campus entity load by use of at least one or more of: predictive analytics; or receive user inputs of an event schedule that impacts said building or campus entity load; perform optimization at the start of the billing cycle to establish a demand reduction target achievable with the at least one energy storage system device implemented; set a periodic schedule for discharge of the at least one energy storage system device and allocate a portion of energy storage capacity to a reserve to be used in the event of volatility in said building or campus entity load; determine whether there is unused capacity of the at least one energy storage system device at an end of a period, and responsive to the determination, redistribute any of the unused capacity to a remaining period of the periodic schedule; and reset the demand reduction target for each time-of-use period to what was achieved in the previous period for the same billing period; and wherein said at least one electronic computer processor of said onsite energy controller is configured to: display output interactively via an electronic dashboard graphical user interface (GUI) comprising at least one GUI element enabling interactive user receipt of input and provision of output relating to at least one or more of the following: a heat map; a financial energy savings calculation; a color coding of energy production depicting at least one or more of: actual energy production, weather normalized energy production, or predicted energy production; or a color coding of energy usage performance based upon an automatically calculated comparison of expected energy production to actual energy production; a color coded representation of monetization comprising at least one or more of: multi-colored lines on a graphically displayed chart metaphor GUI element; or multiple revenue streams; visual comparison of data between different time periods; or artificial intelligence (AI)-enabled data showing at least one or more of: anticipated production data or anticipated consumption data.

The invention discloses a monitoring carrier and a method for monitoring laser energy stability, the monitoring carrier comprising: a core layer; a first copper foil disposed on the core layer; and a second copper foil disposed at the bottom of the core layer, wherein at least one characteristic structure for simulating a non-uniform material structure of the printed circuit board is pre-embedded in the core layer. According to the monitoring carrier and the method for monitoring the laser energy stability, by establishing a benchmark standard atlas database based on destructive physical analysis and implementing periodic visual comparison diagnosis, tiny attenuation of the laser process capability in the aspects of material interface treatment, depth control, heterogeneous material processing and the like can be directly and effectively found.

The invention relates to an ARD construction method based on GF-1 / WFV and HLS, and aims to solve the problem that the existing analysis ready data (ARD) HLS time resolution is difficult to meet high-frequency monitoring and multi-cloud scene application requirements. The method comprises the following steps: fusing GF-1 / WFV data with HLS data based on a deep learning conditional generative adversarial network (cGAN); carrying out atmospheric correction on the GF-1 / WFV image based on a 6S model, carrying out cloud and shadow masking by adopting an automatic multi-scale feature combination (MFC) technology, carrying out geographical correction by adopting an AROP technology, and carrying out resampling to 30 meters to match the HLS data resolution; bRDF normalization and sensor band-pass adjustment are carried out through cGAN, spectral difference between GF-1 / WFV and HLS data is effectively reduced, and the effect is good through verification of multiple quality evaluation indexes such as SSIM, MBE, RMSD, Sobel filter, histogram and visual comparison and the like. According to the method, the time resolution of the fused and expanded HLSG data set is improved to 1.5 days, the ARD data availability is improved, and the method is suitable for application scenes of high-frequency monitoring and has wide popularization and application values.

This application relates to a parking space comparison method, system, device, electronic device, and storage medium. The parking space comparison method includes: acquiring a parking space comparison request sent by a terminal, the parking space comparison request including the numbering information of multiple parking spaces to be compared; acquiring comprehensive information of the multiple parking spaces to be compared based on the numbering information of the multiple parking spaces to be compared; the comprehensive information of the parking spaces to be compared includes image information of the parking spaces to be compared in a 3D garage model; and sending the comprehensive information of the multiple parking spaces to be compared to the terminal so that the terminal can display and compare the comprehensive information of the multiple parking spaces to be compared. In this application, based on the numbering information of the multiple parking spaces to be compared in the acquired parking space comparison request, the comprehensive information of the multiple parking spaces to be compared is acquired and sent to the terminal so that the terminal can display and compare the comprehensive information of the multiple parking spaces to be compared, thereby realizing a visual comparison of the multiple parking spaces to be compared, reducing the complexity of parking space information comparison, and improving the user experience.

The invention provides a diamond crystal orientation calibrating and positioning device which comprises a bearing seat, a pressing mechanism and an image collector. The bearing seat is used for bearing the diamond which is preliminarily bonded with the bonding piece; the image collector is opposite to the bearing seat, electrically connected with the display terminal and capable of transmitting real-time images of the diamond, the display terminal is provided with the real-time images and a virtual datum line used for comparing a crystal orientation reference line on the diamond, and an operator manually adjusts the direction of the diamond according to the real-time images and enables the crystal orientation reference line to be parallel to the virtual datum line; the pressing mechanism is located above the bearing seat and presses downwards when the crystal orientation reference line is parallel to the virtual datum line to fasten the diamond and the bonding piece. The device integrates a visual comparison function and a pressing function, realizes pressing while watching, completes positioning and fixing at one time, avoids pressing deviation, improves the calibration precision and the product yield, and does not seriously depend on operator experience and naked eye judgment.

The invention belongs to the technical field of spaceflight part surface quality detection, and particularly discloses a spaceflight scratch / tool mark depth rapid measuring device which comprises at least one comparison test block used for conducting visual comparison with the surface of a detected metal part, and the base material of the comparison test block is the same as the metal material of the detected metal part; a plurality of standard depth defects are sequentially processed on the comparison test block along the length direction, and identifiers for indicating the depth values of the standard depth defects are also arranged on the comparison test block. According to the method, standard scratches or steps with different depths are machined in advance, the defect depth can be judged only through visual comparison under the unified illumination and observation conditions during detection, and compared with a traditional optical microscopy, laser measurement or contact pin type contourgraph method, the detection efficiency is remarkably improved; the invention further discloses a measuring method, the reliability of judgment is improved, and the method has good adaptability to scratches and tool marks of different materials, different roughness and different types.

The invention discloses a high-resolution reconstruction method fusing multi-scale prior guidance information, which adopts a step-by-step guidance strategy, creatively generates an approximate expression of a high-resolution image as prompt information in prior, prompts an original reconstruction process, realizes a dynamically adjusted enhancement strategy, and effectively improves the recovery capability of high-frequency information (local details). Experiments are carried out on five standard data sets of Set5, Set14, BSD100, Urban100 and Manga109, results show that the performance is remarkably improved under conventional magnification factors (* 2, * 3 and * 4), meanwhile, the performance is still excellent under larger magnification factors (* 8), and it is shown that the method is very high in robustness. Through visual comparison, a local attribution map (LAM) and effective receptive field (ERF) analysis, the effectiveness of the method in the aspects of expanding the context sensing range of the model and enhancing the relevance of a long-distance region is further verified.

This invention discloses a schedule delay early warning and correction system and method based on project management data, belonging to the field of engineering project management technology. The system includes: a schedule planning and data management module for establishing and associating structured schedule plans with multi-dimensional data; a schedule monitoring and event triggering module for real-time monitoring and generating delay events when deviations exceed thresholds; a multi-dimensional impact coupling analysis engine for synchronously propagating schedule delay events, quantifying costs, and assessing risks, and outputting a comprehensive report; and an intelligent deduction and decision-making module for correction schemes, automatically generating multiple correction schemes based on the report and performing simulations, using visual comparisons to assist decision-making. This invention achieves multi-dimensional automatic coupling analysis and intelligent decision support for schedule, cost, and risk, forming a complete closed loop from early warning and analysis to scheme optimization, significantly improving the initiative and scientific nature of project management.

The application discloses an aerosol generating article and a device used in cooperation with the aerosol generating article. The aerosol generating article is provided with a trigger part. The aerosol generating device comprises a recognition unit. The recognition unit comprises a moving assembly movable between a first position and a second position and a recognition element. The recognition element can recognize whether the moving assembly is in the first position or in the second position. When the aerosol generating article is received in the aerosol generating device, the trigger part makes the moving assembly in a preset position. At this time, the recognition element outputs a recognition signal to make the aerosol generating device heat the aerosol generating article. The preset position is the first position or the second position. Compared with the existing optical recognition or handheld external device recognition, the scheme adopts mechanical movement to trigger the recognition element, does not involve complicated visual comparison or external equipment, is simple to recognize, and reduces the cost of the device.

The application discloses a kind of amoxicillin solubility visual detection methods based on quantitative color scale, specifically related to drug detection field, the present application aims at solving the problems of large standard gradient interval, unstable color development and lack of correction in the existing visual comparison method, method includes: with 0.2M potassium dihydrogen phosphate solution as solvent, preparation amoxicillin saturated solution;Linear regression equation is established, by precisely preparing 9 concentration gradient amoxicillin standard solution, after adding copper sulfate solution, form stable yellow-green turbidity gradient, and draw linear regression equation with absorbance value;Sample determination, the sample liquid is compared with standard gradient and turbidimetric analysis is carried out, the concentration is determined, and the solubility is calculated by combining dilution multiple, the present application converts visual estimation into accurate quantification by high-density gradient standard and linear regression model, significantly reduces matching error, improves anti-interference ability and accuracy, and is suitable for rapid detection in drug research and development and quality control.

The invention provides a visual comparison evaluation method and device for a concrete crack repairing effect. The visual comparison evaluation method for the repairing effect of the concrete crack comprises the following steps: prefabricating the crack: when a concrete test piece is poured, inserting an embedded sheet into unhardened concrete, and pulling out the embedded sheet after the concrete is hardened to form a simulated crack; crack end face plugging: plugging an observation surface of the crack by using a transparent plugging belt to complete prefabrication of a crack test piece; coating or injecting a crack repairing material: dividing the simulated cracks on the prefabricated crack test piece into two groups of wall cracks and plate surface cracks, and respectively injecting or brushing the repairing material; repairing effect observation and data acquisition: directly observing and measuring the filling depth of the repairing material in the crack under different repairing systems on the observation surface, and evaluating the repairing effects of the different repairing systems by comparing the filling depth; according to the method, the crack repairing effect can be visually and quantitatively evaluated at low cost, and data support is provided for repairing system selection.

The invention discloses a multi-agent-based single-view simulation scene generation method and device and a medium, and belongs to the technical field of three-dimensional modeling simulation, and the method comprises the steps: recognizing all objects in a single indoor RGB image through a sensing agent, carrying out the positioning and scale calculation of each object, and outputting sensing data; reasoning the spatial relationship of each object in the RGB image through a relationship reasoning agent, and constructing a scene graph; retrieving a three-dimensional model corresponding to each object from the three-dimensional model data set according to each sensing data through a retrieval agent, and performing scale constraint to obtain a three-dimensional model set; placing each three-dimensional model in the three-dimensional model set through a layout intelligent agent according to the scene graph and the pose information of each object; and performing collision detection and visual comparison on the first simulation scene through the optimization intelligent agent, and performing layout optimization according to detection and comparison results. Therefore, by implementing the method, the simulation scene which is accurate in geometry and consistent in semantics can be reconstructed according to the single view.

The present application relates to the field of measurement, specifically relates to a kind of subway tunnel second lining section limit measurement method based on SLAM mobile scanning, comprising steps 1: tunnel point cloud acquisition and target clustering point cloud acquisition;Step 2: CPIII control point coordinate extraction;Step 3: point cloud coordinate conversion;Step 4: point cloud processing, eliminate the noise in tunnel second lining point cloud and non-second lining target point cloud data;Step 5: three-dimensional limit deviation analysis, using voxel deviation mapping algorithm, point cloud under construction coordinate system and subway second lining tunnel design three-dimensional model are compared and analyzed in space, through voxel clustering, continuous deviation area is extracted, and three-dimensional deviation heat map is generated.Combined with the high-precision control point of CPIII in tunnel, the second lining tunnel point cloud obtained by SLAM mobile scanning is accurately converted to the construction coordinate system, which can realize the fast, intuitive and three-dimensional visual comparison and analysis with the design three-dimensional model, and provide intuitive and reliable data support for line adjustment, track laying and defect treatment.

The invention discloses a visual contrast display box for anti-dazzle and anti-fingerprint pollution effects of optical lenses, which relates to the technical field of display and detection of optical products and comprises a box body, a cleaning and developing device, a wiping device, an optical lens display stand, a mechanical arm, a display panel and a camera. Through the processes of cleaning, wiping, anti-dazzle effect comparison, fingerprint pollution, development effect comparison, cleaning and wiping, visual comparison of the anti-dazzle and anti-fingerprint pollution effects of the optical lens is achieved, a fingerprint development reagent is placed in a cleaning and developing device, visual comparison of the fingerprint pollution degree is achieved, and through image collection and analysis of a light display plate by a camera, the anti-dazzle and anti-fingerprint pollution effects of the optical lens are obtained. The objective quantitative comparison of the anti-dazzle effect is realized, two groups of testing devices with the same conditions are designed in one box body, the anti-dazzle and anti-fingerprint pollution lens and a common lens form a contrast experiment, and the effect contrast visual display effect is achieved.

The invention provides a visual comparison method, system and device of a relational database and a storage medium, the method is suitable for a server, the method comprises the steps that newly-added database connection information input by a user on a front-end page of a terminal and sent by the terminal is received, the newly-added database connection information is used for indicating N newly-added databases, and N is a positive integer greater than or equal to 1; n is an integer greater than or equal to 2; receiving comparison option information input by a user on a front-end page and sent by a terminal, and selecting two databases to be compared from the N newly-added databases according to the comparison option information; comparing the two databases to be compared based on the comparison option information to generate a comparison result; and pushing the comparison result to a terminal. The method has wide compatibility, supports multiple database types, ensures flexible application of a user in different environments, is suitable for a cloud end, and can be quickly operated by the user without local installation and complex configuration.

The invention provides a detection device and method for power plant metallographic authenticity discrimination, belongs to the technical field of material detection, and can at least partially solve the problems that the existing comparison result highly depends on the integrity of a database, the slight editing sensitivity of an algorithm to a photo is low, the algorithm is only based on static visual characteristics, the dynamic characteristics are ignored, an active verification mechanism is lacked, and the detection efficiency is low. The device comprises a sample positioning platform, a resonant cavity module, an electrochemical microprobe module, an optical polarization modulation module and a signal processor, and has the beneficial effects that the device is provided with the resonant cavity module, the electrochemical microprobe module and the optical polarization modulation module; through multi-mode cooperation, the limitation of single visual comparison is broken through, vibration, electrochemical and optical signatures are actively generated, and the anti-counterfeiting capability is enhanced; the device does not depend on a huge database and adapts to a power plant complex environment; all the modules work cooperatively to form a closed-loop verification mechanism.

The invention discloses AR scene experience equipment for furniture assembly, which comprises a hardware unit, and a modeling unit, an AR processing unit and an interaction unit which are in communication connection with the hardware unit, and is characterized in that the hardware unit adopts an integrated lightweight architecture; a calculation module with a processor as a core, a high-definition camera used for visual perception and display and a high-resolution display screen are integrated. By fusing gesture recognition, fine touch control of a pressure sensing knob, tactile feedback of a linear motor and spatial audio, a user can'grab ', 'pull' and'sense 'occlusion and separation of a virtual tenon-and-mortise structure in a mode close to reality, and by means of high-precision modeling and an AR rendering engine, the virtual tenon-and-mortise structure can be obtained. A complex tenon-and-mortise structure which is difficult to observe in traditional furniture is subjected to three-dimensional digital reduction and dynamic disassembly, an intelligent labeling module highlights key parts in real time, and a structure comparison module supports visual comparison with a traditional process.

The invention discloses an amoxicillin solubility visual detection method based on quantitative color gradation, particularly relates to the field of drug detection, and aims to solve the problems of large standard gradient interval, unstable color development and lack of contrast correction in the existing visual comparison method. Preparing an amoxicillin saturated solution; the method comprises the following steps: establishing a linear regression equation, precisely preparing an amoxicillin standard solution with 9 concentration gradients, adding a copper sulfate solution to form a stable yellow-green turbidity gradient, and drawing the linear regression equation according to an absorbance value; when the sample is measured, turbidimetric analysis is carried out on the to-be-measured liquid and the standard gradient, the solubility is calculated in combination with the dilution multiple after the concentration is determined, visual estimation and reading are converted into accurate quantification through the high-density gradient standard and the linear regression model, the matching error is remarkably reduced, and the anti-interference capability and accuracy are improved; the method is suitable for rapid detection in drug research and development and quality control.

The application relates to the technical field of image data processing, and discloses a production process visualized agricultural product quality traceability generation method, which comprises the following steps: maintaining color and dynamic visual baselines in parallel at an edge end, capturing an image evidence pair before and after operation when a physical state of a production scene changes, and compulsorily performing cause-effect adjacent verification aiming at confirming event attribution and physical law arbitration aiming at verifying the authenticity of time stamps on the evidence pair, and only when the double verification passes, a structured traceability unit is generated, the application changes a traditional data processing mode of passive record post-search, information screening and purification are completed at the source of data generation, the generated traceability unit not only has direct visual comparison before and after operation, but also is self-verified through endogenous cause-effect logic and cross-verified through external physical laws, endogenous credibility independent of external systems is obtained, and therefore, image evidence is provided for agricultural product quality traceability.

The invention relates to the technical field of soil nutrient detection, and discloses a soil nutrient detection and comparison system based on big data analysis and management. The integrated calibration control module is introduced to be linked with the cloud big data platform, so that the measurement basis of the probe type detection equipment is conveniently and accurately calibrated; an intelligent data conversion unit arranged in the system converts original parameters into a complete data set containing multiple nutrient indexes, real-time comparison and analysis are carried out in combination with a cloud crop standard parameter library, the data is presented in a visual comparison report form, and the dilemma that traditional detection data is obscure, difficult to understand and difficult to directly apply is changed; finally, a complete closed loop from accurate measurement, intelligent analysis to scientific decision is constructed, a user can quickly obtain a customized fertilization guidance scheme without professional knowledge, the technical threshold and decision cost of accurate agriculture are reduced, and the practical value of soil detection data and the intelligent level of agricultural management are improved.

The invention relates to the technical field of power supply management, and discloses a power supply management system, which comprises a multi-source data acquisition layer used for acquiring electrical quantity data, equipment state data, environment data and geographic information data; the data fusion and analysis layer comprises a digital twin engine and an integrated analysis module; and the AI decision and control layer comprises an AI decision center and a control instruction execution module. According to the method, the multi-source data acquisition layer covering the whole link is constructed, so that an information island is broken, and a unified panoramic data view is formed; in combination with a digital twin engine, abstract electrical data is converted into a visual and visual dynamic tidal current diagram, so that the perception capability of operators on the overall operation state of the power grid is greatly improved; through a line loss management sub-module in the integrated analysis module, innovatively performing linkage analysis and visual comparison on statistical line loss, theoretical line loss and management line loss; the effectiveness of loss reduction measures can be scientifically evaluated, and the troubleshooting efficiency is greatly improved.