1233 results about "Upgrade" patented technology

The invention discloses a vehicle-mounted controller firmware upgrading method, which relates to the technical field of intelligent networked automobiles, and comprises the following steps of: accurately describing a dependency relationship between versions by introducing a directed acyclic graph, providing a clear topological sorting basis for an upgrading process, and improving the upgrading efficiency. The system function conflict and disorder caused by disordered upgrading sequence are fundamentally avoided; a distributed consensus protocol is utilized to ensure that each controller achieves state coordination before upgrading, so that the overall robustness of a multi-controller cluster is effectively improved when the multi-controller cluster faces network delay or individual node abnormity, and upgrading failure or version bifurcation caused by the fact that part of nodes are not ready is avoided; through the combination of the group-level binding token and the atomic switching mechanism, the controller group with a strong function dependency relationship can be ensured to be effective and updated as a unified transaction unit, and the safety and reliability of cross-domain function linkage are remarkably enhanced.

The invention discloses a multi-version upgrading method and device based on distribution, equipment and a medium, and relates to the technical field of distribution. The method comprises the following steps: in response to a version upgrading operation event of a target object, performing metadata marking, multi-modal verification and increment extraction on the target object to obtain version upgrading data and a version upgrading type of the target object; wherein the target object comprises system data, a second-open script and an application source code; acquiring a baseline version of the target object from a multi-mode version database according to a version identifier in the version upgrading data; based on the version upgrading type, determining a target version of the target object according to the version upgrading data and the baseline version; and performing compatibility verification on the baseline version and the target version to obtain a compatibility evaluation report of the target version, and deploying the target version according to the compatibility evaluation report. According to the technical scheme, the reliability and efficiency of system version iteration can be improved.

The invention provides a firmware upgrading method and device and a storage medium, the method is applied to a platform firmware recovery system, the system comprises a first processing module and a second processing module, and the method can be applied to the platform firmware recovery system. The method comprises the steps that a first processing module obtains an upgrading attribute parameter and to-be-upgraded firmware of at least one target system component; the first processing module processes all the to-be-upgraded firmware so as to store all the to-be-upgraded firmware to target storage partitions corresponding to all the target system components; wherein each storage partition corresponds to at least one system component; and the first processing module sends an upgrading instruction to the second processing module based on the upgrading attribute parameter, so that the second processing module flashes each firmware to be upgraded from the target storage partition to the firmware storage area of each target system component based on the upgrading attribute parameter by adopting a concurrent execution mode. Through the technical scheme of the invention, concurrent firmware upgrading of a plurality of system components can be realized.

The invention provides a cross-platform fusion access method, system and device of equipment and electronic equipment, the method is applied to the technical field of Internet of Things, and the method comprises the following steps: a mobile terminal performs security authentication on target central control equipment; the mobile terminal sends a structured configuration file including the equipment information of the plurality of smart home equipment, the region division rule, the scene mode and the linkage rule to the target central control equipment; the target central control equipment receives and analyzes the structured configuration file, and updates the corresponding smart home equipment according to an analysis result; the target central control equipment receives a control instruction of the cloud platform, converts the control instruction into an internal protocol instruction and then issues the internal protocol instruction so as to control the corresponding smart home equipment to execute operation; the target central control device synchronizes the state information of the smart home device to the cloud platform; and when an upgrading instruction of the cloud platform is received, issuing an upgrading task to execute an upgrading process. According to the method, the real-time performance of remote control of the smart home equipment and the accuracy of state feedback are guaranteed.

The invention discloses an intelligent assembly guide and error correction system based on man-machine cooperation, and relates to the field of man-machine cooperation intelligent assembly, and the system comprises a task instantiation module which generates an assembly task instance aligned with a physical environment according to an assembly order and in combination with environment perception information; the cognitive intention state module is used for collecting and processing multi-mode physiological and behavior signals of an operator in real time and identifying a cognitive intention state related to a current assembly task; the man-machine cooperation strategy module is used for dynamically generating an adaptive man-machine cooperation strategy based on the recognized cognitive intention state and the process requirement of the current assembly task instance; and the operation mode pre-configuration module is used for generating operator-oriented guide information according to the man-machine cooperation strategy and carrying out corresponding operation mode pre-configuration on the robot. According to the method, upgrading from one-way programming to two-way self-adaptive collaboration is realized, and the intelligent level and collaboration efficiency of the assembly process are effectively improved.

The invention discloses a BMS (Battery Management System) double-partition collaborative flashing method and system and electronic equipment. Relates to the field of program flashing. A BMS storage area is divided into a first bootstrap program area, two independent bootstrap program partitions and two independent application program partitions, an effective flag bit and a program version number are set for each partition, and state judgment of a partition type arbitration mechanism and a program flashing flag bit is combined, so that the application program is flashed and written, and the application program is flashed and written. A complete process from system starting, partition selection and flash control is constructed. According to the scheme, independent dual-backup management of the bootstrap program and the application program is realized, and when any flash fails or the program is abnormal, a runnable stable version is kept all the time; the technical problems of system paralysis, rollback mechanism deficiency, irreversible upgrading process and the like caused by flashing failure in a traditional single-partition or single-side dual-backup architecture are effectively solved, and the reliability, the safety and the fault-tolerant capability of BMS software updating are remarkably improved.

The embodiment of the invention provides a video memory control method, device, equipment and system and a computer storage medium. The method comprises the steps that in response to an obtained drive upgrading request of an image processing unit (GPU), a before-upgrading page table corresponding to the GPU is obtained, and the before-upgrading page table comprises a mapping relation between a physical address and a virtual address of a GPU video memory; determining a data cleaning queue corresponding to the GPU, wherein the data cleaning queue is used for performing global cleaning on data in a GPU video memory; under the condition that the data cleaning queue is locked, driving upgrading operation is carried out on the GPU based on the driving upgrading request, an upgraded page table corresponding to the GPU is obtained, and the upgraded page table comprises a mapping relation between a physical address and a virtual address of a GPU video memory; and regulating and controlling data in the GPU video memory based on the pre-upgrading page table and the post-upgrading page table. In the embodiment of the invention, the driver upgrading operation of the GPU can be realized without operations such as video memory backup, shutdown, restart and the like.

The invention provides a vehicle OTA upgrade method and upgrade system based on quantum encryption, relates to the technical field of vehicle OTA upgrade, and is applied to a server, and the server and a vehicle establish a quantum channel and a classical channel through an optical fiber interface integrated on a charging pile. The method comprises the following steps: in response to a received quantum state light pulse which is sent by a vehicle through a quantum channel and is coded with a random first basis vector, measuring the light pulse; comparing a second basis vector for measurement with the first basis vector in a classic channel, screening a matching result to obtain a first key, and determining the quantum bit error rate of the first key; if the quantum bit error rate is smaller than the bit error rate threshold, compressing the first key to obtain a second key; and encrypting an OTA upgrade package obtained from the main engine plant cloud platform based on the second key, sending the OTA upgrade package to the vehicle through the optical fiber interface, and decrypting the vehicle to complete upgrade. According to the method, the information leakage risk is effectively eliminated by utilizing quantum characteristics and combining quantum bit error rate judgment, compression processing and the like, so that the security of OTA upgrading is improved.

The invention discloses a module and a method applied to FPGA (Field Programmable Gate Array) remote upgrade configuration data integrity verification. The module and the method are realized by FPGA logic resources. The configuration data integrity verification module comprises a message filling module, a message expansion function module, a compression iteration module, a constant parameter matrix and a top layer control module. The message filling module is used for receiving original configuration data; the message expansion function module is used for expanding the message blocks output by the message filling module; the compression iteration module is used for hash compression operation; the constant parameter matrix is used for storing constant values required by compression operation; and the top layer control module is used for completing the connection of the sub-modules. Compared with the existing technical scheme, the scheme can realize the integrity verification problem of the configuration data generated by random errors and malicious tampering; by adopting the mode of'pipeline + iteration ', the real-time performance and the low-delay characteristic are ensured, the consumption of the FPGA logic resources by the module is reduced, and the FPGA logic resources can be flexibly deployed on the small-capacity FPGA.

The invention discloses a private cloud platform-based micro-service application remote main and standby disaster recovery rapid switching method, relates to the technical field of computers, and is used for solving the problems of long remote main and standby disaster recovery switching time, cold start storm, insufficient capacity evaluation and discharge strategies and complex back switching. The switching process is decomposed into controllable steps by combining real-time state feedback through a clear sequential arrangement and batch reconnection strategy of a data surface and a control surface, so that the switching time is remarkably shortened, the target of minute-level continuous availability is met, and meanwhile, the switching efficiency is greatly improved through heat set construction and standby side quasi real-time preheating before switching. Core hotspot data and indexes are loaded to the standby side in advance, it is ensured that the standby side has the high cache hit rate and index availability during master raising, and therefore the performance bottleneck caused by access of a large amount of cold data is avoided.

The invention belongs to the technical field of avionics system design, and particularly relates to an integrated task computer and a backup upgrading method thereof. The comprehensive task computer comprises a core processor and a FLASH memory, the FLASH memory is provided with a starting mirror image file and an application mirror image file from low to high according to addresses, the starting mirror image file is internally provided with a first boot loader, a first PL end bit stream and a system configuration program from low to high according to the addresses, and the application mirror image file is internally provided with a second boot loader, a second PL end bit stream and a system configuration program from low to high according to the addresses. The system configuration program is internally provided with a bootstrap program of the application mirror image file and an identification module for identifying whether the application software is upgraded or not; and the application mirror image file is provided with a second boot loader, a second PL end bit stream and an application software program from low address to high address. According to the invention, the online upgrading function of the equipment master control software and the underlying firmware thereof is realized, and the stability and convenience of the system are enhanced.

The invention discloses a standardized product deployment operation and maintenance method based on an off-line environment, computer equipment and a computer readable storage medium, and the method comprises the steps: S1, executing a one-key initialization process, rapidly building a visual platform with an Ansible Semaphore as a core through an off-line medium and an automatic script, and achieving zero-threshold starting; s2, a visual deployment process is executed, deployment is completed in a visual mode at an Ansible Semaphore webpage end on the basis of a platform built by a one-key initialization process, and a multi-scene Ansible Playbook is built in the platform; s3, a visual operation and maintenance process is executed, a'modular script visual platform 'is taken as a core, a monitoring alarm scene, a log query scene, a component upgrading scene and a version rollback scene are covered, and all operations are based on offline preset resources; and S4, executing a visual publishing process, and adopting a closed-loop system in which an offline medium is taken as a carrier, canary publishing is taken as verification and rolling updating is taken as execution, so as to ensure that services are published without interruption in an offline environment.

The invention relates to the field of firmware upgrading, in particular to a firmware upgrading method and system based on cloud computing. The method comprises the following steps: identifying equipment firmware configuration information based on a cloud, performing module layer version information difference analysis, and generating version difference information of each module layer; performing increment updating range analysis according to the version difference information, and extracting an upgrading increment package of each module; carrying out personalized adaptation customization and firmware operation compatibility verification on the upgrade increment package, and constructing an executable upgrade task package; and carrying out adaptive decomposition and fragmented time period updating processing on the executable upgrading task package. According to the method, accurate, efficient and safe firmware increment upgrading is realized through cloud computing, and the operation stability of equipment is improved.

The invention provides an industrial-grade solid state disk firmware upgrading reliability detection method and system. The method comprises the steps that compatibility verification is conducted on the solid state disk and a to-be-upgraded firmware file, if verification passes, firmware upgrading is conducted in a standard test environment to obtain a basic success rate, and if verification is larger than a preset basic success rate threshold value, firmware upgrading is conducted in a disturbance environment, and process index monitoring is conducted; and performing real-time threshold detection according to the process indexes, performing multi-stage risk interception on the firmware upgrading process, obtaining solid state disk performance index data before and after upgrading, judging whether the hard disk has performance degradation or not through threshold comparison, if not, performing weighted processing on the solid state disk performance index data before and after upgrading, and then performing judgment. And if the performance degradation is not judged, performing firmware integrity and data consistency verification, and if the verification is passed, performing firmware upgrade reliability judgment, so that the aim of accurately detecting the firmware upgrade reliability is fulfilled.

The invention discloses an industrial intelligent control system and method, relates to the technical field of industrial automatic control, and mainly aims to solve the problems of low data cross-layer interaction efficiency, system global optimization, poor safety, poor expansion capability, difficulty in function upgrading and difficulty in fusion of AI control and traditional control in the existing industrial intelligent control scheme. The system comprises a basic control layer, an intelligent I / O layer and an intelligent control layer. The basic control layer comprises an extended I / O cabinet, a common controller and a main control network A / B; the intelligent I / O layer comprises an intelligent I / O cabinet and an intelligent I / O switch; the intelligent control layer comprises an intelligent controller, a credibility regulator, a hyper-fusion module and an intelligent middle table, an end-edge-cloud intelligent collaborative architecture is constructed, the computing power of a DCS is enhanced, the development collaborative safety capability of an intelligent algorithm of the system is improved, and safety fusion and smooth transition of AI intelligent control and traditional control are promoted.

The invention discloses a remote OTA firmware upgrading method for multiple MCUs. The remote OTA firmware upgrading method comprises the steps that a master control MCU receives OTA firmware data issued by a cloud server in real time and stores the OTA firmware data; the main control MCU carries out protocol analysis on the received OTA firmware data, carries out shunting processing on the OTA firmware data and Modbus data, and carries out data analysis and verification on the OTA firmware data to obtain a data packet passing verification; the master control MCU subpacks the data packets passing the verification and forwards the data packets to the target sub-MCUs; the sub-MCUs receive the data packets and carry out subpackage recombination and sequence control on the data packets to form a complete OTA upgrade packet; and the sub MCU executes the Bootloader upgrade according to the OTA upgrade package.

The invention belongs to the technical field of artificial intelligence and edge computing, particularly relates to an industrial edge-oriented lightweight AI model dynamic loading system, and aims to solve the problems of rigid model deployment, high reasoning delay and update lag caused by resource limitation and variable working conditions of industrial edge equipment. According to the system, an AI model is decoupled into function fragments with attribute tags through a model fragment manager, a configuration strategy is generated by combining a context sensing adaptation module with an equipment state and a task requirement, a scheduling engine determines an optimal fragment combination according to the configuration strategy, an incremental loading executor realizes millisecond-level hot plugging through symbol analysis and a double-buffering mechanism, and the configuration strategy and the scheduling engine are combined. The localized fine tuning unit optimizes key parameters online by using a small amount of data. According to the scheme, loading on demand, dynamic adaptation and non-inductive upgrading are supported, memory occupation and energy consumption are remarkably reduced, the response speed and the model generalization ability are improved, and efficient autonomy of edge intelligent services is achieved.

The invention discloses a three-partition over-the-air downloading upgrading method and upgrading system based on a non-SWAP AB technology, and the method comprises the steps: receiving a target upgrading program sent by a control end in response to an over-the-air downloading upgrading request sent by the control end; generating a to-be-executed instruction according to the target upgrading program and the initial state of the execution end; determining a target activation partition and a target standby partition according to the to-be-executed instruction; executing the target activation partition to obtain an upgraded execution end; under the condition that the to-be-executed instruction is an upgrade execution instruction, writing a target upgrade program into the initial standby partition, and updating a flag bit of the initial standby partition according to the target upgrade program to obtain a first standby partition; and operating the secondary boot program area to obtain a target activation partition and a target standby partition, and realizing OTA upgrading and fault rollback in an environment without hardware address exchange support by cooperatively working with the boot program through a double-partition structure and dynamically managing the partition activation priority by utilizing a flag bit.

The invention discloses a multi-axis linkage machining precision optimization control method adopting real-time detection driving, and relates to the technical field of machining intelligent control. The method comprises the following steps: establishing a multi-source real-time detection system comprising a laser displacement sensor, a force sensor and an industrial camera, and collecting multi-source data; performing time-space synchronization calibration on multi-source data, and improving a fusion vector of a feature by borrowing an attention mechanism convolutional neural network; constructing a machining precision dynamic compensation model by combining the kinematics forward and inverse solution sub-model and the tool thermal deformation compensation sub-model, and iteratively optimizing parameters by adopting an improved particle swarm optimization algorithm; the compensation amount is converted into a numerical control instruction through a data conversion module; and after compensation, data feedback updates the feature vector, and compensation parameters are dynamically adjusted until machining is finished. According to the invention, an active control system of multi-source detection, intelligent analysis, dynamic compensation and dynamic feedback is constructed, precise control of the whole processing flow is realized, and a general solution is provided for precision upgrading in the field of high-end equipment manufacturing.

The invention relates to the technical field of computers, and provides a software gray release method and related device.The method comprises the steps that target equipment is indicated to run target version software, and the target equipment is to-be-upgraded equipment which bears the target version software in the first stage of gray release in all to-be-upgraded equipment; the method comprises the following steps: in a first stage, acquiring gray stage information of each acquisition period by utilizing periodically acquired equipment information of target equipment; based on the gray stage information of each collection period, an anomaly detection model is used for detecting the equipment running state, and the anomaly detection model is obtained by training gray stage data in the historical version software release process; and if it is determined that the first stage meets the set stage upgrading condition based on the detection result of each acquisition period, continuing to execute other stages of gray release until gray release is completed. And the abnormal detection model is used for running state detection, so that the gray release efficiency of the software is improved, and the gray release requirements in different scenes are met.

The invention relates to the technical field of intelligent control network application programming, and discloses an application programming method based on an ArtNet module, which is applied to an intelligent control network. The method comprises the steps that an ArtNet module storage medium is partitioned, firmware is received and verification information is stored, the validity of the firmware is judged, the firmware is transmitted to a main controller according to a preset upgrading protocol, the main controller distributes updates, and the ArtNet module clears temporarily stored data. According to the application, the intelligent control network master controller is an internal communication bus master device, the function nodes maintain the original access logic, only an ArtNet module is newly added as a slave device to access the internal bus, an independent communication link is established through a universal interface and the master controller, the Ethernet and the external control bus are externally connected, original hardware and an IAP protocol do not need to be changed, and the communication efficiency is improved. Equipment transformation and code rewriting cost caused by module expansion are avoided; based on the programming process, original IAP logic is not interfered, repeated burning caused by data residue is avoided, and the method is suitable for firmware upgrading of intelligent control networks such as moving head lamps, stage lighting and intelligent lighting.

The invention discloses a firmware upgrading method, electronic equipment, a storage medium and a program product, and relates to the technical field of computers, the firmware upgrading method comprises the following steps: receiving a firmware upgrading file submitted by a user through an uploading control based on a first page provided by a built-in server, caching the firmware upgrading file, and sending the cached firmware upgrading file to a server; according to the embodiment of the invention, the to-be-upgraded state is identified by updating the firmware upgrading parameter in the controller, and the upgrading operation on the target firmware is completed based on the cached firmware upgrading file. The method can effectively avoid the problems of complex system architecture and lengthy upgrade link caused by the need of relying on a special communication module and a cloud server for firmware transfer in the prior art, solves the technical problem of low firmware upgrade efficiency caused by the dependence of external components and complex interaction, and achieves the purposes that the communication module and cloud transfer do not need to be additionally configured, and the upgrade efficiency is high. The system architecture is greatly simplified, the hardware cost is reduced, and the technical effects of firmware upgrading operation efficiency and deployment convenience are remarkably improved.

The invention relates to the technical field of firmware upgrading, and particularly provides a commercial vehicle remote online differential upgrading method, system, device and medium, a hardware identifier reported by a vehicle-mounted terminal and a current firmware version are received through a cloud server, new and old versions of firmware are automatically matched for difference analysis, and a customized differential package is generated. And the cloud side intelligently selects a transmission strategy according to a network state, and issues a differential packet by adopting a self-adaptive fragmentation and breakpoint resume mechanism. And after the vehicle-mounted terminal receives the data, dynamically evaluating local resources, selecting a merging strategy, integrating the differential package into a new firmware file, and writing the new firmware file into an A / B system partition for standby application. And validity verification is executed before upgrading, so that service continuity and system reliability are ensured. The method significantly improves the upgrading efficiency, reduces the bandwidth consumption, and guarantees the operation stability of the vehicle.

The invention discloses an outdoor 5G communication power supply cabinet remote upgrade management software system supporting version self-healing, particularly relates to the field of communication power supply remote maintenance, and is used for solving the problems of version inconsistency, frequent alarm and self-resetting caused by energy fluctuation, temperature abnormity and network interruption in an outdoor power supply cabinet upgrade process. The method comprises the following steps: acquiring energy and temperature states through an upgrade entrance admission module to generate permission marks, constructing an ordered set through a target arrangement mapping module, implementing differential writing and breakpoint disk falling through a segmented writing verification module, calculating bearing margin and consistent strength output stability coefficient through a dynamic monitoring decision module, and performing freezing continuous writing or backspacing. And the consistent switching collection module issues a partition switching instruction according to the latch state and generates a completion voucher, so that self-healing upgrading is realized, unification of versions of units in the cabinet is ensured, and the maintenance efficiency and the power supply stability are improved.

The invention relates to the technical field of power system automation and control, and discloses a thermal power generating unit deep peak regulation coordination control system based on multivariable prediction, which comprises a multi-target monitoring module, a multi-target data analysis module, a prediction module, a multi-target control module, a control feedback module, an evaluation module and an upgrading module. A full-flow closed-loop system is formed, the limitation that a traditional control technology can only achieve single-target adjustment is broken through, load deviation, coal consumption, denitration temperature and pipe wall temperature are pre-judged in advance through a multivariable prediction model, and the problem of parameter adjustment lag caused by lack of perspectiveness under complex working conditions is solved; multi-target dynamic balance is achieved through linkage execution of load adjustment, fuel optimization, environmental protection regulation and control and equipment protection instructions; through real-time deviation analysis and root positioning of the control feedback and evaluation module and dynamic parameter correction of the upgrade module, the problems of prediction misalignment and control strategy stiffness caused by working condition change of a traditional system are solved.

The invention belongs to the technical field of computer software and data processing, and provides a differential upgrading method for a compressed file, which is divided into a differential stage and a reduction stage: the differential stage: decompressing an original compressed package of a starting version and an original compressed package of a target version; unifying and standardizing file permissions for the two decompressed folders, and modifying, accessing and changing timestamps; re-compressing to generate a first new compressed file and a second new compressed file with byte-level certainty; generating a first difference file based on the difference between the standardized directory structure and the content; comparing the second new compressed file with the original compressed file of the target version, performing lossless analysis on the ZIP metadata, and performing structured modeling on difference information to generate a second difference file; in the reduction stage, standardization, first differential reduction, recompression and second differential driven metadata accurate reconstruction are sequentially executed, and a result completely consistent with the byte level of the original compressed file of the target version is output. According to the method, the differential compression ratio and the restoration fidelity can be improved.

The invention relates to the technical field of data processing related to cold-chain logistics and the Internet of Things, and discloses a sample integrity intelligent monitoring and temperature control method based on multi-parameter prediction. The method comprises the following steps: periodically acquiring multi-dimensional parameters such as temperature, illumination, vibration, box opening state, battery remaining capacity and phase change material state; carrying out weighted fusion calculation on the temperature, illumination, vibration and box opening states to obtain a sample integrity index SII (t), wherein the temperature accumulation deviation degree is obtained through time weighted integration; based on the change trend of the SII (t), the residual electric quantity of the battery and the state of the phase change material, predicting residual safe transportation time (RSTT) through a minimum bottleneck principle; and the temperature control power is intelligently adjusted according to the comparison result of the RSTT and the predicted transportation duration, and early warning is triggered. According to the method, the technical upgrade from recording-response to evaluation-prediction-optimization is realized, and the sample integrity evaluation accuracy, the temperature control cruising ability and the early warning timeliness are remarkably improved.

Aspects of the present application leverage vehicle information status and historical information in conjunction with 6G network slice allocation to efficiently utilize unused processing capacity of vehicles for dynamically allocating compute tasks. A cloud service management server may determine multiple vehicles' compute availability taking into account vehicles' compute capacity, vehicles' location and location history, and schedules to predict and utilize vehicles' unused processing capacity. Historical information may be utilized by the cloud service management server to predict availability of the vehicle to increase confidence for the compute task. Implementing the cloud service management server with 6G network connectivity provides for a significant upgrade in network reliability having data speeds exceeding 1 Tbps and ultra-low latency of less than 1 microsecond.

Provided in the present application are a firmware upgrade method, a computer program product, an electronic device and a medium. The method comprises: in response to detecting that a specified upgrade file has been input, detecting whether there is a system firmware upgrade thread in a baseboard management controller, wherein the specified upgrade file is a file that is generated on the basis of a preset rule and has a digital signature; in response to determining that no system firmware upgrade thread is detected, performing security verification on the specified upgrade file on the basis of a preset verification rule; and acquiring target system firmware included in the specified upgrade file, which has passed the security verification, and upgrading the target system firmware on the basis of the specified upgrade file. The decoupling of a baseboard management controller and system firmware upgrade is realized, thereby improving the stability of firmware upgrade, and facilitating the code maintenance, upgrade and improvement of tools in a later stage.

The invention relates to the technical field of electric tool management, in particular to an intelligent management system for an electric tool, and the system comprises an equipment multi-dimensional state collection and feature vector construction module which collects operation parameters through an MCU and constructs feature vectors; the tool health assessment and risk identification module outputs a health score and an early warning level and identifies a refitting behavior; the self-adaptive OTA upgrading and configuration strategy recommendation module triggers updating during abnormity or refitting; the electronic fence and the disconnection locking module track the position, cross the border or disconnect to trigger locking; and the smart phone end controls the response module to display the state and issue a control instruction. According to the invention, a closed-loop system for intelligent management and safety collaboration of the electric tool is constructed through equipment multi-dimensional state perception, health scoring and modification identification, adaptive upgrading and configuration recommendation, space behavior safety locking and user interaction feedback mechanisms.