2106 results about "Mobile end" patented technology

The invention discloses a highway construction safety monitoring system and method, and belongs to the technical field of highway construction. The method comprises the following steps of 1, collecting construction site data in real time, wherein the construction site data comprises environment data, video data and construction management data; step 2, generating global situation awareness data; 3, evaluating the safety risk probability and severity in real time, and predicting a risk propagation path and a cascade effect; step 4, generating a plurality of risk disposal schemes for sorting and screening, and selecting an optimal disposal suggestion; 5, precise early warning and differentiated management are achieved, the false alarm rate is reduced, and high-risk events are found in time; and step 6, displaying the construction site through three-dimensional reconstruction, superposing construction site data and a risk assessment result, and providing remote monitoring and emergency command of a mobile terminal.

The invention relates to the technical field of safety production supervision, in particular to a safety production intelligent supervision system based on artificial intelligence, and the system comprises a safety production database module which integrates a risk hidden danger library, an inspection list library, a regulation standard library and a dynamic case library through employing a multi-source heterogeneous data fusion architecture. The artificial intelligence analysis engine module realizes accident causal chain analysis, high-frequency violation mode mining and dynamic decision generation; the risk and hidden danger management code generation module integrates the risk information to a digital label which can be identified through code scanning, and data security is guaranteed by using a space-time constraint security mechanism; the intelligent law enforcement terminal module integrates AR visualization, intelligent comparison and risk trend prediction functions, supports real-time interaction between a mobile terminal and a background, and assists efficient law enforcement. The intelligent, collaborative and precise levels of safety production supervision are comprehensively improved, the accident rate is effectively reduced, the life and property safety of people and the social stability are guaranteed, and remarkable social benefits and application values are achieved.

The invention provides a BIM intelligent management platform oriented to a whole life cycle of project construction. A building information model, Internet of Things sensing data and a block chain evidence storage mechanism are integrated through a multi-source data fusion technology, and a whole-process data chain of association planning, design, construction, operation and maintenance is associated. The platform adopts space optimization Huffman coding to realize model lightweight, combines a constraint genetic algorithm to optimize a construction path, and applies a bidirectional long-short-term memory network to analyze an equipment state. A three-chain block chain system is reconstructed on the architecture, intelligent association of engineering quantity and payment nodes is realized through cooperation of a main chain, a calculation quantity side chain and an auditing side chain, and mobile terminal offline interaction is supported based on a digital-analog separation technology. The platform covers an intelligent design management unit, a block chain investment management unit, a dynamic correction management unit, a quality safety responsibility tracing unit, an NLP risk management unit and a digital twin operation and maintenance unit. The units achieve cross-system cooperation through a unified data bus, and a closed-loop management architecture covering the whole life cycle of project construction is formed.

The invention provides a self-adaptive nonlinear image enhancement method and system for a low-light scene of a mobile terminal, and relates to the technical field of image enhancement, and the method comprises the steps: carrying out the image preprocessing and noise reduction, and carrying out the graying and noise suppression of an input color image through a local variance self-adaptive algorithm; adaptive down-sampling is carried out, and the down-sampling proportion is dynamically adjusted according to the image resolution and the content complexity, so that the processing efficiency is improved; brightness adaptive enhancement is carried out, and the overall brightness of the image is rapidly improved by adopting an Otsu method and a lookup table; contrast nonlinear enhancement: enhancing image details and contrast in combination with a Laplace operator and local mean adjustment; and color restoration: restoring the resolution through bilinear interpolation and performing weighted fusion to realize natural color reconstruction. And finally, a high-quality image of which the brightness, the contrast ratio and the color are remarkably improved is output. According to the invention, the recognition accuracy and processing efficiency of the low-illumination image are improved.

The invention relates to a cardiovascular disease risk prediction system, which comprises a user terminal module, an edge computing module, a cloud intelligent module, an application service module and a system support module, wherein the user terminal module comprises an intelligent sensing equipment cluster unit and a mobile terminal data entry unit; and the intelligent sensing equipment cluster unit adopts a millimeter wave radar-PPG fusion sensor, monitors subcutaneous 0.5 mm depth arterial vibration through a 60GHz radar array, is aligned with a photoplethysmogram signal in a space-time manner, and performs user data acquisition based on a surface plasma resonance chip. According to the cardiovascular disease risk prediction method and system, real-time signal processing is realized by adopting JetsonAGX through a heterogeneous calculation architecture, medical image accelerated calculation is performed by using NVIDIAClara, non-out-of-domain joint modeling of data of hospitals is supported through federal learning, privacy protection reasoning based on homomorphic encryption is realized, and full-process closed-loop management is realized by adopting a layered modular architecture. And the accuracy of cardiovascular disease risk prediction is improved.

The invention discloses a pre-request optimization method for an embedded H5 page of a mobile terminal application program and a storage medium. The invention relates to the technical field of computer networks. And carrying out system environment detection, and determining whether a network state, equipment resources, a storage space and the like meet preloading conditions or not. If yes, a preloading strategy configuration file is loaded, and the file comprises the preloading resource list, the priority, the cache rule and the timeout time. And constructing a preloading task queue according to the configuration strategy. In the task queue, the resources with high priorities are loaded preferentially. According to the method, key resources are loaded in advance, so that the waiting time of a user is shortened, and particularly, the first screen content is quickly displayed, so that the application feels smoother and responds immediately. Even under the condition that the network is unstable, instant availability of the basic content can be guaranteed by means of the local cache, and the bad experience of white screen or long-time loading is avoided.

The invention discloses a real-time digital human generation system and method based on low-calculation-amount voice driving, and relates to the technical field of digital human interaction, and the system comprises an audio processing module which is configured to receive voice input in real time and extract an audio feature vector; the driving and rendering module is used for mapping the audio feature vectors into parameters representing mouth movement, generating a dynamic mouth image based on the preprocessed static face reference data and the parameters, and fusing the dynamic mouth image with the reference image; the synchronous control module is used for ensuring the synchronization of the audio features and the rendering video frames according to a timestamp alignment mechanism and a PID feedback control algorithm; and the dynamic scheduling module is used for monitoring a hardware resource load in real time and realizing dynamic allocation of computing resources through multi-thread parallel and task priority adjustment. According to the technical scheme provided by the invention, the breakthrough of low delay, high fidelity and low energy consumption of the digital human can be realized in mobile terminal, embedded and multi-platform scenes.

The invention discloses an intelligent safety inspection system for a construction site, and relates to the technical field of construction inspection, multiple data sources of the construction site are obtained through a data acquisition module, and a data fusion and processing module dynamically optimizes heterogeneous data through time synchronization, format standardization and noise filtering in combination with a self-adaptive weighted fusion algorithm, so that the construction site safety is improved. The intelligent analysis and early warning module evaluates the data difference degree based on machine learning, adopts clustering analysis to mine an abnormal mode for high-difference data, carries out safety risk identification on low-difference data, and dynamically adjusts an early warning strategy. The terminal interaction module pushes the inspection result and the early warning information to the mobile terminal APP, the monitoring center display screen and the voice broadcast device, so that a manager can remotely check the construction condition and quickly make a decision, the intelligent level of construction site safety inspection can be remarkably improved, efficient and accurate potential safety hazard recognition and dynamic early warning are achieved, and the safety inspection efficiency is improved. And the safety accident risk is effectively reduced.

The invention discloses a road traffic sign target detection method based on YOLOv8, and relates to the field of road target detection, in the method, a CDFF-YOLO model is constructed, and an MPA module is embedded in a feature fusion network of the model to enhance the feature fusion capability of C2f; an MSF module is constructed, GSConv and CARAFE up-sampling operators are embedded to realize a multi-dimensional sequence information fusion effect, and the detection precision of the model is improved while the parameter quantity and the calculation quantity of the model are reduced as much as possible. A DFF module is constructed, two-dimensional Fourier transform and inverse transform methods are adopted to enable feature information to be enhanced in a frequency domain and a space domain at the same time, and the detection performance of a network model for shielded small targets and small targets under uneven illumination is effectively improved. The three modules not only enhance the detection effect of the small target model, but also enable the network to stably cope with the detection scene of the small target. According to the method, the detection performance of the small road traffic sign target is excellent, the processing speed is high, and deployment of mobile terminal equipment is facilitated.

The invention relates to the field of cultural relic protection, and discloses a cultural relic preventive protection system based on storage environment monitoring and regulation, which comprises a data acquisition module, a data fusion module, a trend prediction module, an optimal regulation module and an alarm notification module, the data acquisition module acquires multi-modal data in a cultural relic storage environment; the data fusion module performs weighted fusion on the multi-modal data to generate fusion data representing an environment state; the trend prediction module predicts the fusion data and generates a trend prediction value of a future environment state; the optimal regulation and control module generates a multi-step optimal regulation and control path and outputs a regulation and control instruction to regulate the equipment; and the alarm notification module generates graded alarm information and notifies a manager through a user interface or a mobile terminal. The system effectively improves the stability and protection efficiency of a cultural relic storage environment through precise monitoring, prospective prediction and intelligent regulation and control, and realizes intelligent and automatic preventive protection of cultural relics.

The embodiment of the invention discloses a cooperative signature method and a related device, and the method comprises the steps: a mobile terminal calculates a middle elliptic curve point according to a first random number and an elliptic curve base point, and transmits the middle elliptic curve point to a cooperative terminal, the cooperation end calculates a final elliptic curve point according to the intermediate elliptic curve point, the second random number, a sub-private key of the cooperation end and an elliptic curve base point, calculates a final target signature validity verification message and an intermediate target signature integrity verification message according to the final elliptic curve point, and sends the information to the mobile end; and the mobile terminal calculates a final target signature integrity verification message according to the private key of the mobile terminal, the first random number, the final target signature validity verification message and the intermediate target signature integrity verification message, and takes the final target signature validity verification message, the integrity verification message and the Diithium signature as the target signature. By adopting the embodiment of the invention, the protection capability of the private key can be improved, and meanwhile, the resistance of the system to future quantum computing threats is enhanced.

The invention discloses a configurable number-theory transformation parallel computing acceleration method and device for a post quantum cryptographic algorithm, and relates to the technical field of cryptographic algorithms. The number theory transformation is a calculation bottleneck in lattice-based post-quantum cryptography and PQC; a hardware accelerator specially designed for number theory transformation (NTT) is an effective solution for improving the execution speed. At present, a mainstream design neglects the influence of the scale of a calculation array, so that the design of an NTT calculation circuit is poor in flexibility and low in memory utilization rate, and a two-dimensional reconfigurable number theory transformation acceleration circuit is provided; the method is applied to a key generation stage, an encryption stage and a decryption stage of the post-quantum cryptographic algorithm. The NTT reconfigurable computing circuit provided by the invention can keep the utilization rate of hardware resources, and is suitable for mobile terminal equipment with limited resources; the NTT circuit adopts a low-complexity memory mapping scheme, so that the address control logic is greatly simplified, and the hardware overhead is reduced.

The invention discloses a mobile terminal multi-size webpage adaptive display method based on a browser viewport, which belongs to the field of browsers and comprises the following steps of: firstly, selecting iPhoneX (375px width) as a reference viewport size; and then, calculating a zoom factor according to the proportion of the viewport width of the current equipment to the reference viewport width, and dynamically adjusting the webpage content. And then, zooming the page root element by using the zooming factor. In order to adapt to screen widths and resolutions of different devices, breakpoints are set, a compact layout is applied to a narrower device, and more blanks and spaces are reserved on a wider device. And finally, recalculating the scaling in real time and updating the page. The method has the beneficial effects that a finer self-adaptive design is realized by dynamically calculating the zoom factor, adjusting the page layout in real time and optimizing display according to the breakpoint of the equipment.

The present invention provides a method and system for intelligent matching of mobile software information, which relates to the field of intelligent matching technology, including extracting feature vectors by deep learning processing of software requirement text, constructing a software requirement knowledge graph and generating a requirement dependency matrix; analyzing historical test environment data based on the matrix, extracting test environment feature vectors by using a graph neural network; inputting the requirement feature vector and the environment feature vector into a bidirectional long short-term memory network to construct an environment matching model; when there are new requirements, extracting features and calculating matching scores, selecting the optimal environment template for deployment, and continuously optimizing the model through online learning. The present invention improves the accuracy of software test environment matching, reduces the cost of environment configuration, and shortens the test cycle.

The invention discloses a mobile terminal offline bidirectional data synchronization method and system, and relates to the technical field of data synchronization processing, and the method comprises the following steps: initializing a whole table synchronization mechanism, and establishing a file mapping structure; a user performs data operation in an offline state, records data operation details and stores the data operation details in a local cache; when the network connection is recovered, a whole table synchronization mechanism is started, data compression and partitioning are performed, a synchronization request is sent to a server, and segmented data transmission is performed; after receiving the data, the server performs data storage and management by using a file mapping mechanism; detecting potential conflicts by utilizing a multi-version parallel management mechanism, carrying out conflict resolution, merging data with local data after the conflict resolution, and confirming that synchronization is completed to a server; after it is confirmed that all data are synchronized, local and global timestamps are updated, and meanwhile, the optimal thread count is dynamically determined by adopting a multi-thread technology. According to the invention, the efficiency, reliability and accuracy of data synchronization of the mobile terminal are remarkably improved.

An electromagnetic relay (100) comprises three fixed terminals (60), a first mobile terminal (71), a second mobile terminal (72), and an electromagnetic actuator (20). The three fixed terminals (60) are electrically connected to different current paths. The first mobile terminal (71) contacts and separates from a first fixed terminal (61) and a shared fixed terminal (63) of the three fixed terminals (60). The second mobile terminal (72) contacts and separates from a second fixed terminal (62) and the shared fixed terminal (63) of the three fixed terminals (60). The electromagnetic actuator (20) separately displaces the first mobile terminal (71) and the second mobile terminal (72). As a result, allowance and interruption of conduction between the first fixed terminal (61) and the shared fixed terminal (63) and allowance and interruption of conduction between the second fixed terminal (62) and the shared fixed terminal (63) can be independently switched.

The invention provides a mobile terminal online learning optimization method and system, and belongs to the technical field of mobile terminal learning platform optimization, and the method comprises the steps: 1, collecting the original behavior data of a terminal user, and outputting a learner state packet containing a real-time knowledge attention vector, a cognitive load index and an equipment efficiency score; 2, outputting a knowledge blind area mark set, and meanwhile, generating learning state description containing blind area marks and load levels; 3, generating a primary content optimization strategy based on the blind area mark set, carrying out strategy feasibility verification in combination with a load grade and an equipment efficiency score, and outputting a final executable strategy set; 4, executing the executable strategy set and controlling interface rendering and resource allocation; and 5, collecting eye movement track change data and system performance indexes, and outputting a feedback data stream used for updating the knowledge attention vector. The learning content and the user experience are optimized, the cognitive load is reduced, and the high efficiency and individuation of the learning process are ensured.

The invention relates to the field of video processing, in particular to a video data processing method and device, equipment and a medium. In a background replacement link, based on precise operation of video processing requirements, an adaptive algorithm can be selected according to scene characteristics, and errors are preliminarily reduced. And subsequently, error compensation is carried out on the generated intermediate video data, the error region is corrected in a targeted manner, the edge is filled and optimized by utilizing the edge pixel characteristics of the foreground region, and iteration processing is carried out until the error is lower than a preset value, so that the accuracy of background replacement is greatly improved. And finally, the target video data is injected into the virtual camera of the cloud mobile phone, the method is applied to a mobile terminal scene, the background and the foreground are naturally fused under high-precision scenes such as live broadcast and virtual conferences, the image flaws are remarkably reduced, the strict requirements of a user on the video image quality are met with a high-precision background replacement effect, and the overall user experience is improved.

The invention relates to a BIM model mobile terminal and mixed reality cooperation method and system and a medium, and the method comprises the steps: carrying out the space segmentation and space grid division processing of a BIM model according to a pre-created index structure, obtaining the index information of a plurality of space models and a plurality of space grids, and obtaining a plurality of space models and a plurality of space grids based on the index information; and constructing a unique identification code of the spatial model. Identifying the identification code through the mobile terminal, loading the spatial model corresponding to the identification code, obtaining spatial coordinates in the spatial model according to the gesture operation, converting the spatial coordinates into spatial grid index information through a preset conversion rule, and generating a loading instruction of the mixed reality equipment. And the mixed reality equipment loads a space model corresponding to the space grid index information according to the loading instruction, and superposes the space model to a real building scene through a positioning strategy. The problem of low cooperation efficiency of a BIM model mobile terminal and mixed reality in related technologies is solved.

The invention relates to a method and system for encrypting and isolating storage data of a credential mobile terminal, and belongs to the technical field of information. The method comprises the following steps: encrypting and partitioning the whole storage area, and setting an access strategy according to user permission; when a user requests to access, executing multi-factor authentication containing a password and an external hardware certificate, and adding biological characteristic authentication; after the authentication is passed, an encryption key is taken from the domestic security chip; and encrypting and decrypting data by using the secret key, and opening corresponding partition access according to authority. The system comprises a storage partition module, an identity authentication module, a key management module, an encryption and decryption module and an authority control module and is used for executing the method. The method also comprises the steps of equipment startup trusted boot and firmware upgrade verification, is based on a custom curing system, and is compatible with Android 10 +. The problems of poor hardware controllability and positioning security risk of the creative mobile terminal are solved, and full-link data security protection is realized.

The invention discloses a project progress, quality and safety collaborative management and control system and method based on BIM and Internet of Things, and belongs to the technical field of constructional engineering informatization management. In order to improve engineering management efficiency and reliability, the system comprises a data acquisition layer, a data processing layer, an application layer and a security module. The data acquisition layer is connected with the data processing layer, the data processing layer is connected with the application layer, and the security module is respectively connected with the data acquisition layer, the data processing layer and the application layer; the data acquisition layer comprises IoT equipment, an external data interface, data middleware and a BIM model, the IoT equipment acquires data through the external data interface, the IoT equipment is connected with the BIM model through the data middleware, and the data processing layer comprises a multi-source data fusion engine and an intelligent algorithm module; the application layer comprises a model management module, a model display module, an early warning management module, a data management module, a three-dimensional visual monitoring platform, an intelligent decision center and a mobile terminal module. The project management efficiency is improved.

The invention provides an intelligent drinking water distribution path optimization method based on a mobile terminal, and the method comprises the steps: calculating an order regularity coefficient and a recovery rate, classifying users into four types, and determining the order basic priority according to the four types; and calculating a time urgency degree weight in combination with the expected order delivery time so as to determine a comprehensive priority value of the order. According to the method, real-time road conditions and deliveryman position information of a delivery area are collected, an order density thermodynamic diagram is generated, distribution area grids are adaptively divided based on the thermodynamic diagram, and a high-density area is covered with a smaller grid size. And a multi-objective optimization model is established by combining the vehicle-mounted capacity state of the deliveryman, and optimization objectives comprise weighted delivery time minimization, vehicle-mounted capacity utilization rate maximization, container recovery efficiency maximization and workload balancing. And solving the optimization model by using an ant colony algorithm, adjusting a distribution path in real time, and dynamically updating path planning according to vehicle-mounted capacity change data so as to realize efficient and flexible intelligent distribution management.

The present invention relates to the technical field of intelligent operation of highway electromechanical equipment. Disclosed is a digital intelligent management system for highway electromechanical equipment. The system comprises: a service management module used for operation monitoring, asset management, operations and maintenance management, and operations and maintenance decision; a data management module used for respectively storing data in a corresponding type of database on the basis of a data type; and a client used for displaying received data, wherein the client comprises a PC terminal and a mobile terminal that are parallel. According to the present invention, a BIM model and GIS information are effectively integrated, facilitating improvement of the three-dimensional visualization degree of highway electromechanical management systems and solving the problem of being unable to make operations and maintenance scientific decision, and thus achieving informatization, visualization and intelligent management of highway electromechanical equipment management.

The invention discloses a computer vision technology-based road disease patrol work order deduplication solving method, which comprises the following steps of: S1, road patrol: acquiring road disease information by adopting a road patrol identification terminal, and uploading the disease information to a work order platform; s2, the platform processes and distributes a work order: when the work order platform receives the disease information of the road inspection identification terminal, the work order service platform carries out screening according to the disease grade degree and judges whether the disease is the same disease, and if the disease is a new disease, the work order is distributed to the mobile terminal; and S3, the mobile terminal processes the work order: after receiving the work order, the mobile terminal performs construction maintenance and returns information to the work order platform. According to the method, the problem of repeated work orders is solved, and the road detection efficiency and accuracy are improved.

The invention provides a multi-mode interaction mobile terminal intelligent office system and method, and the method comprises the steps: collecting and converting a voice signal through a voice input module, so as to obtain standardized audio data; the speech recognition and transcription module converts and preliminarily processes the standardized audio data to obtain text data; the intention recognition module analyzes a user intention and a key entity in the text data based on a natural language processing technology to obtain an intention recognition result; the cue word template module matches the intention recognition result to a cue word template to generate a structured instruction; the dialogue module sends the structured instruction to the large language model and analyzes structured response data returned by the large language model; the system docking and function execution module calls a target office system interface according to the structured response data so as to execute mail sending, schedule management, document processing or leave application operation; and the output and function implementation module converts the text of the operation result into a voice signal or directly outputs the voice signal, so that the problem of low office efficiency of the mobile terminal is solved.

The invention discloses a small and medium-sized enterprise information management method and system based on a multi-layer architecture, and belongs to the technical field of information management, and the method comprises the steps: constructing a decoupling architecture of a user interface layer, a business logic layer and a data storage layer; analyzing the evaluation standard through a dynamic rule engine of a business logic layer, and generating a configurable rule unit comprising a logic expression and a dynamic weight parameter; an offline priority strategy is adopted at the mobile terminal, and a vector clock identifier containing a client ID and a logic clock sequence is added to a data record; executing dynamic weighted evaluation calculation to generate a total evaluation score; and performing industry reference threshold verification on the numeric field. The technical bottleneck of tight coupling of multiple layers of modules in a traditional single framework is broken through by constructing a decoupling framework of the user interface layer, the service logic layer and the data storage layer and an asynchronous message bus communication mechanism, so that cross-layer codes do not need to be synchronously modified when the system adds or adjusts the evaluation dimension, and the system reliability is improved. And the framework flexibility and the expansion efficiency are obviously improved.

The invention belongs to the technical field of brain-computer interfaces and cognitive neural engineering, and discloses a gender impressions nerve feedback intervention method based on cooperation of a lightweight electroencephalogram sensor and a mobile terminal. According to the system, polyimide microneedle dry electrodes are adopted, interference is suppressed through double-layer shielding, and low-noise signal collection is achieved in combination with the chopping modulation technology; constructing a BDSAG model based on the alpha / theta frequency band differential entropy, and recognizing gender engraving plate activation, neutral concentration and cognitive fatigue states in real time by using a lightweight graph neural network; the dynamic closed-loop module adjusts the sex-free task density and the end-to-end delay lt according to the neural state; the time is 200 ms. The power consumption of the system is 2.7 mW, and the endurance is gt; the cost is 1 / 4 of that of traditional equipment, and experiments show that the IAT effect value of an intervention group is reduced by 25.3% (plt; 0.01) of the substrate. The method solves the problems of complex wearing, gender characteristic quantification and intervention lag of electroencephalogram equipment, and is suitable for vocational education and other scenes.

The invention discloses a multi-platform real-time field rice ear detection and counting method based on a visual converter, which is suitable for various acquisition platforms from a portable mobile terminal to an unmanned aerial vehicle terminal and the like, and meets the requirements of small-range accurate identification and large-range high-throughput monitoring. Aiming at the characteristics of multiple scales, multiple varieties, phenotype difference, time sequence change, complex field environment and the like in a data set, a rice spike detection counting network comprising a feature enhancement module, an efficient cross-space feature extraction network, a lightweight bidirectional feature fusion module and a number estimation and detection head module is constructed. The average precision mean value (mAP50) of the model reaches 0.8906 and is improved by 11.5% compared with that of an original model, the parameter quantity is reduced by 29%, and the calculated quantity (GFLOPs) is reduced by 48%. The method can effectively process rice ear images of different scales and growth periods, adapts to morphological change, overcomes interference such as illumination, phenotypic difference and shielding, and provides technical support for rice yield evaluation and field rice ear quality analysis.

The invention discloses a device firmware upgrading method and system and a storage medium, and the method comprises the steps: taking an Android mobile terminal device as an edge node, and obtaining all to-be-upgraded devices in the node and the device information of each to-be-upgraded device through a local area network protocol; according to the equipment information and an intelligent scheduling algorithm, dynamically adjusting the upgrade task priority and the upgrade task sequence of each piece of to-be-upgraded equipment and the network bandwidth distribution among the to-be-upgraded equipment; acquiring and judging whether the current network bandwidth is sufficient or not in real time, and if yes, performing equipment firmware upgrading at least according to the dynamic adjustment result; if not, readjusting the network bandwidth allocation between the to-be-upgraded devices, and then continuing to upgrade the device firmware; and monitoring the upgrading states corresponding to all the to-be-upgraded devices and the current network bandwidth in real time, judging whether an abnormal state exists or not, if so, readjusting the upgrading task priority of the abnormal state devices or the network bandwidth distribution among the abnormal state devices, and if not, continuing real-time monitoring until all the to-be-upgraded devices are upgraded.

The invention relates to the technical field of engineering settlement, in particular to a dynamic cost management system and method for an engineering cost settlement process, and aims to ensure that key information such as construction data and approval records cannot be tampered through a block chain technology and improve data credibility; a multi-dimensional deviation analysis algorithm comprehensively evaluates deviations of building materials, manpower, construction periods and the like, an approval process is automatically started when a threshold value is triggered, and abnormity is quickly responded; the optimal approver is automatically matched, and the flow time consumption is shortened; electronic signature and process monitoring support mobile terminal signing and real-time uploading, paper file delay is avoided, a reminding mechanism is automatically triggered when time is out, and the approval progress is ensured; the visual interaction module visually displays cost deviation and progress comparison through a thermodynamic diagram, a Gantt chart and other tools; automatic report generation and settlement support are achieved, manual accounting errors are reduced, and therefore the problem that in the existing project cost settlement process, cost dynamic management is low in practicability is solved.