968results about How to "Fix security issues" patented technology

The invention provides a distributed power data asset management privacy protection encryption architecture design method, which comprises the steps of generating a watermark with robustness and imperceptibility by adopting a content-based digital watermarking algorithm according to statistical characteristics of power data assets, and storing a watermark embedding process and an extraction result through a blockchain; a graph-based data model is adopted, the electric power data assets carrying the watermarks serve as nodes, the data flow relation serves as edges, and an electric power data asset consanguinity graph is constructed; for distributed storage of the blood relationship map, a P2P network topology is constructed by adopting a block chain and a distributed hash table, and blood relationship map data is stored in each node of an alliance chain in a distributed manner; and verifying the digital watermark information embedded in all circulation path nodes through which the power data assets pass in the blood relationship map, calculating the similarity between the extracted watermark and the original watermark, calculating the distortion rate, and judging whether the power data assets are tampered or not.

The invention discloses a network security active defense method and system for detecting abnormal network behaviors. The method comprises the following steps: S1, constructing a virtualized isolation network environment through a software defined network technology; s2, deploying intelligent dynamic camouflage nodes in the virtualized isolation environment; s3, acquiring a disguised node attack behavior, and identifying a network abnormal behavior through a deep learning technology; s4, extracting network abnormal behavior features, and identifying potential threats through a deep learning technology; s5, a defense mechanism is automatically triggered, a honeynet is started, and abnormal behaviors and potential threats are isolated; and S6, tracing an attack path, and carrying out source positioning. The network security active defense system comprises a network construction module, a deployment module, an identification module, a honeynet, an isolation module and a tracing module. The disguised nodes are deployed through the deployment module to detect abnormal network behaviors, active defense of network security is realized through the honeynet, the isolation module and the tracing module, and the network security is improved.

The invention relates to the technical field of network security, and discloses a network information security encryption method, which comprises the following steps: step 1, a sender generates a pair of post-quantum asymmetric keys including a public key and a private key, the public key is used for encrypting a symmetric key, and the private key is used for decrypting the encrypted symmetric key; the sender sends the public key to the receiver through the secure channel, and verifies the authenticity of the public key of the receiver; and step 2, the sender generates a dynamic symmetric key based on a device identifier and a current timestamp, and the device identifier is used for uniquely identifying the device generating the key. A unique and unpredictable dynamic symmetric key is generated by combining a device identifier and a timestamp, the security problem that a traditional static key is easy to crack and abuse in long-term use is solved, in addition, a dynamic update triggering mechanism based on a time interval and a data volume is supported, key management has high flexibility and security, and the security of the key management is improved. And the encryption requirements in different network environments are met.

The invention belongs to the technical field of positioning and navigation, and particularly relates to a line inspection method and system for unmanned aerial vehicle airborne power grid X-ray detection equipment. According to the method, a positioning unmanned aerial vehicle is used for determining a hovering point of a transportation unmanned aerial vehicle on a power transmission line, after the hovering point is sent to a positioning navigation unit, the positioning navigation unit carries out coordinate system unification and flight path planning, and the transportation unmanned aerial vehicle receives a flight instruction sent by the positioning navigation unit; carrying the power grid X-ray detection equipment to fly to a hovering point according to the path planning of the positioning navigation unit; and releasing the power grid X-ray detection equipment, analyzing the acquired X-ray image by the power grid X-ray detection equipment, and transporting the unmanned aerial vehicle recovery equipment after the acquisition task is completed. According to the invention, the difficulty in releasing and recovering the power grid X-ray detection equipment can be reduced, and the detection efficiency is improved.

The invention discloses a wind power master control system based on a safe and credible software and hardware platform, which belongs to the technical field of wind power generation and comprises a data acquisition module, a data analysis module, a monitoring result judgment module, an abnormal unit optimization control module and a data backup module. According to the invention, the data acquisition module acquires the operation monitoring parameters of the wind turbine generator in real time, and the operation monitoring parameters are processed by the data analysis module to obtain the operation monitoring evaluation value, so that the operation state of the wind turbine generator is accurately judged, and accurate monitoring and timely early warning of the wind turbine generator are realized; the problem that in the prior art, a wind power master control system is insufficient in safety performance and reliability is effectively solved, and the safe operation level and the fault handling capacity of a wind power plant are improved.

The invention relates to the technical field of information security, in particular to a database tamper-proofing method and system based on a trusted computing environment, and the method comprises the steps: S1, receiving data transmitted into the database by adopting a security protocol communication TLS, carrying out the preliminary verification and cleaning of the data, generating a verification key through a trusted computing module TPM, and storing the verification key in a secure storage area of the trusted computing module; s2, loading the verified data into a feasible computing environment TEE to generate an encryption key, and storing the encryption key in an internal storage area of the feasible computing environment TEE; s3, performing integrity verification on the encrypted data in the feasible computing environment TEE; and S4, leaving the checked data from the feasible computing environment TEE through the security protocol communication TLS, and transmitting the checked data to a tamper-proof database for storage. The data processing and storage operation is executed in the trusted computing environment, the integrity and non-tampering property of the operation record are ensured by using the tampering-proof database, and the credibility and safety of the whole data processing and storage system are improved in a combined mode.

The invention discloses an optimization method for secure transmission of an active STAR-RIS assisted RSMA communication system. The optimization method mainly comprises the following steps: S1, constructing an active STAR-RIS assisted multi-input single-output RSMA communication system; s2, the base station transmits the information to legal users in the system through the active STAR-RIS; s3, the base station sends the artificial interference noise while sending the useful signal; constructing an optimization equation for maximizing system private information and safety rate based on beam forming, artificial noise, an active STAR-RIS power amplification matrix, an amplitude matrix and a phase shift matrix as optimization parameters; s4, performing proper conversion on a non-convex objective function and constraints by using a WMMSE criterion, and performing decoupling solution on an optimization problem by using an AO algorithm; s5, updating an auxiliary variable introduced by the WMMSE algorithm according to the closed expression; s6, using an SCA algorithm to optimize and update beamforming and artificial noise of the base station, and a power amplification matrix and an amplitude matrix of the active STAR-RIS; and S7, adopting an SCA algorithm and a PDD algorithm to optimize and update the phase shift matrix of the active STAR-RIS. According to the invention, the security of the communication system is obviously improved.

The invention relates to the technical field of tool detection, in particular to a tool wear online detection method based on machine vision, which comprises the following steps of: 1, respectively acquiring an unworn image data set and a worn image data set; step 2, carrying out single-view depth-of-field fusion; step 3, splicing to form a multi-view panoramic depth cutter image; 4, extracting feature points on the surface of the object; space coordinate calculation is carried out, and sparse point cloud models of the unworn cutter and the worn cutter are obtained respectively; 5, dense reconstruction is carried out, and a three-dimensional model of the unworn cutter and a three-dimensional model of the worn cutter are constructed respectively; 6, performing visual subtraction on the point cloud data to obtain a point cloud model of the tool wear area; and 7, performing qualitative and quantitative analysis according to the point cloud model of the tool wear area to obtain the actual wear loss and the state of the tool. According to the invention, qualitative and quantitative analysis can be carried out on tool wear, the quality or machining precision of a machined product is prevented from being influenced, and the production cost is reduced.

The invention provides a turnable helicopter air inlet channel structure, and belongs to the technical field of helicopter structural design, the structure comprises a front support frame, a rear support frame, a left fixed cover, a right fixed cover, a movable cover, a lower air inlet channel, an air inlet channel support assembly and an air inlet net assembly, the air inlet channel is divided into an upper part and a lower part, wherein the upper air inlet channel is integrated on the movable cover, the upper section and the lower section are pressed and sealed through the P-type sealing ring, the air inlet net assembly is connected to the movable cover in a screwed mode, and the left side of the movable cover is connected with the left fixed cover; the right side of the movable cover is connected with the right fixed cover through a front hinge assembly and a rear hinge assembly. The front and the back of the movable cover are connected with the front support frame and the back support frame; the interior of the front side of the movable cover is connected with the front supporting frame; the air inlet channel supporting assembly, the lower air inlet channel, the front supporting frame, the rear supporting frame, the left fixing cover and the right fixing cover are riveted to form a stable frame structure. The device is simple in structure, convenient to mount and maintain, reasonable in stress form, safe, reliable and capable of solving the problems of maintainability and safety of the rear cabin engine of the power cabin.

The invention discloses a multi-core system on chip and a control method thereof. The method relates to the technical field of chip design, and comprises the following steps: determining a first CPU core for executing a current task from a plurality of CPU cores of a multi-core system on chip; and controlling the first CPU core to execute a current task, and controlling other CPU cores except the first CPU core in the plurality of CPU cores to be in a dormant state. The technical problem that the multi-core system on chip is poor in safety or large in power consumption due to the fact that the multi-core system on chip only supports all the CPU cores to execute the same task or all the CPU cores execute different tasks respectively in the prior art is solved.

A smart screen movement control method, a mobile smart screen, a medium and a product relate to the technical field of mobile smart screen control, and the method comprises the steps of determining a target position for moving and a movement path for moving to the target position based on a target setting instruction of a user terminal; moving according to the moving path, and determining the residual electric quantity; when it is determined that the standby point position with the residual electric quantity lower than the preset safe electric quantity exists, the equipment position of the standby smart screen is obtained; determining a target point location for handover between the mobile smart screen and the standby smart screen, and sending a handover instruction to the standby smart screen; a task transfer instruction is sent to the standby smart screen, so that the standby smart screen displays screen display information of the mobile smart screen and goes to the target position based on the moving path; and moving to an equipment position for charging. By implementing the method, the endurance of the mobile smart screen can be optimized, work interruption is avoided, and the user experience is optimized.

The invention discloses a multi-energy energy management method and a ship, the method is applied to a multi-energy power system comprising a fuel cell, a battery pack and photovoltaic power generation, an energy management optimization model based on model prediction control is established, and the energy management optimization model comprises a prediction model, rolling optimization and a reference trajectory. An energy management strategy is optimized in real time through model predictive control (MPC), conversion and distribution among different energy sources are intelligently managed according to actual energy source requirements and availability, and therefore stable supply of power output is achieved. A multi-energy complementary hybrid power platform is constructed by integrating a hydrogen fuel cell, a lithium battery and a photovoltaic power generation technology, an energy management strategy is optimized in real time through model predictive control (MPC), and efficient and stable use of energy under various navigation conditions is ensured.

The invention discloses a stain analysis and learning model combined static source code scanning method, and belongs to the technical field of source code scanning. Comprising the following steps: acquiring source codes in a project code library to establish a source code set, and analyzing the source codes in the source code set into an abstract syntax tree and code features in the abstract syntax tree; obtaining source codes in the source code set, public data of the vulnerability database and historical vulnerability code samples in the enterprise code library to build a data set, building a deep learning model, standardizing data in the data set to obtain marked data, forming a training set by the data subjected to optimization training of the deep learning model, and storing the training set in the enterprise code library; training data in the optimization model are collected to serve as a verification set to evaluate the optimization model, model analysis results are obtained, an analysis report is obtained for the two analysis results, specific vulnerability types are recognized, and repair suggestions and codes are provided. According to the method, potential security vulnerabilities can be identified, detailed repair suggestions can be provided, and developers are helped to quickly solve security problems.

The invention discloses a vehicle voice interaction method and system and a storage medium, and the method comprises the steps: obtaining a voice instruction sent by a user, extracting voiceprint information and semantics according to the voice instruction, and obtaining a current user position based on the voice instruction; the user permission level is recognized according to the voiceprint information, the semantics and the user position, the voiceprint information is used for verifying the voiceprint permission, the semantics is used for verifying the wake-up permission, the user position is used for verifying the priority permission, and when the voiceprint information passes the verification of the voiceprint permission, verification of the wake-up permission is executed. After the semantics pass the verification of the wake-up permission, executing priority permission verification, and outputting the user permission level; and generating a control instruction based on the user permission level, wherein the control instruction is used for controlling the vehicle machine to execute an operation corresponding to the user permission level.

The invention discloses an emergency training platform database dynamic management method and device and a storage medium, and relates to the technical field of database dynamic management, and the method comprises the following steps: carrying out the grading processing of files in a database according to the file size, and carrying out the encryption uplink processing after the grading processing is completed; establishing a user credible value calculation model, and dividing the access control authority; performing access management on the emergency training platform database based on the user credible value, the confidentiality level and the user level; the method and the device are used for solving the problem that in the prior art, files of different sizes cannot be efficiently and safely stored and accessed under the condition that a block chain and a database are combined, and meanwhile, the files can be safely accessed under different demand occasions.

The invention discloses a multi-mode redundant model-free longitudinal control method for an automatic driving vehicle. The method comprises the following steps: collecting a longitudinal control signal source; establishing an off-line driving torque database and an off-line braking pressure database; designing a model-free vehicle speed control strategy, and calculating a vehicle speed expected driving torque and a vehicle speed expected braking pressure; designing a model-free acceleration control strategy, and calculating an expected acceleration driving torque; a model-free deceleration control strategy is designed, and deceleration expected brake pressure is calculated; and according to the vehicle speed expected driving torque, the vehicle speed expected braking pressure, the acceleration expected driving torque and the deceleration expected braking pressure, a model-free longitudinal control mode arbitration strategy is designed, the request driving torque and the request braking pressure are output, and longitudinal operation is achieved. According to the method, the stability problem of longitudinal control of the automatic driving vehicle can be solved under the condition that vehicle model parameters are missing or the model parameters are uncertain, and unexpected driving or braking caused by interference of factors such as program abnormity and communication congestion is prevented.

The utility model discloses a pole piece, a battery cell and a battery, the pole piece is used for the battery cell, and the pole piece comprises a first current collector and a first active material layer; the first current collector is suitable for being connected with a first tab; the first active material layer is laminated on the first current collector, the first active material layer comprises a first region and a second region, the first region is closer to the first tab than the second region, the porosity of the first region is a first porosity A, the porosity of the second region is a second porosity B, and A is greater than B. The pole piece provided by the utility model can effectively improve the charging and discharging capability of the edge of the pole piece and reduce lithium precipitation of the edge of the pole piece.

The invention discloses an airborne multi-source integrity monitoring method and device for an aviation navigation operation network, and belongs to the field of satellite navigation, and the method comprises the steps: constructing an overall design architecture of an airborne multi-source high-performance navigation receiver; an ionosphere gradient monitoring algorithm based on carrier phase difference is provided, IGM detection statistical error characteristics of the carrier phase are researched, an ionosphere gradient monitoring threshold is established, and a switching mechanism from an airborne DFree mode to an IFree mode is realized; an aviation navigation multipath mitigation suppression algorithm is researched, multivariate feature extraction of observation data is combined, an observation data feature matrix is established, a parallel time convolutional neural network architecture is designed, and the weight is updated through a stochastic gradient descent method. According to the airborne multi-source integrity monitoring method and device for the aviation navigation operation network provided by the invention, accurate monitoring of the ionosphere gradient is realized, a switching mechanism between a DFree mode and an IFree mode is optimized, and the integrity monitoring capability and the system availability of the aviation navigation operation network are improved.

The invention discloses a frequency safety scheduling method considering standby mutual aid of an interconnected power grid, which comprises the following steps of: firstly, realizing coordination mutual aid of flexible standby resources and secondary frequency modulation standby resources among regions by delimiting a power imbalance risk operation boundary of the interconnected power grid and dividing an adjusting space of a connecting line; and establishing an active frequency safety day-ahead scheduling model of the interconnected power grid by taking the safe and economic operation cost of the interconnected power grid as a target, and realizing power balance and frequency safety cooperative scheduling of the interconnected power grid. The method can solve the problems of space-time mutual aid of peak and frequency modulation resources of the interconnected power grid and low frequency safety level, can give consideration to the safety and economical efficiency of system operation, effectively resists the risk of power imbalance of the power grid, has important significance and reference value for frequency safety scheduling research of the interconnected power grid, and has engineering application value.

The invention relates to the field of remote sensing image processing, and discloses a high-resolution remote sensing image semantic segmentation passive domain self-adaption method and device, and the method employs a prototype guiding consistency learning module of teacher and student knowledge distillation, optimizes pseudo label generation and quality through knowledge transmission, data enhancement and a prototype guiding mechanism, and improves the semantic segmentation precision of a high-resolution remote sensing image. Feature alignment of a source domain and a target domain is improved, and particularly, the segmentation effect is remarkably improved in small ground feature recognition; through a cross-domain feature enhancement module, the feature extraction capability of complex boundaries and small ground features is enhanced by using channel adaptive weight distribution, so that the segmentation precision of a target domain is improved; a passive domain adaptive strategy is adopted, under the condition that source domain data cannot be accessed, a target domain is optimized based on a pre-trained source domain model, the data privacy and safety problems are solved, and the generalization performance of cross-domain semantic segmentation is improved. According to the method, the condition that source domain data are unavailable is effectively handled, and the segmentation precision of the cross-domain difficult-to-classify region in the remote sensing image is remarkably improved.

The invention discloses a trusted execution environment-based trusted federal learning system and method. The system comprises a server and a plurality of clients, the server and the plurality of clients are respectively provided with a domain virtual machine, an encryption module and a decryption module, the domain virtual machine is used as a trusted execution environment, and a remote secure connection module is configured in the domain virtual machine. According to the method, the local training and central aggregation process of the whole federated learning is protected based on the trusted execution environment, the global model, the local model and the updated data only exist in the trusted execution environment in a plaintext mode, the data is encrypted when the data is out of the trusted execution environment, the completeness of a federated learning protocol and the confidentiality of parameters are protected, and the reliability of the federated learning is improved. Only small calculation overhead is introduced while poisoning attacks and privacy attacks are effectively resisted, the precision and safety of the trained model are improved while user data privacy is effectively guaranteed, and privacy and safety attacks faced by a current federal learning system are comprehensively solved.

The invention relates to unified data backup and disaster recovery equipment, in particular to the field of data security, and specifically comprises a data backup module, a disaster recovery module and a recovery verification module, the data backup module is used for carrying out data fragmentation on data needing to be backed up, then carrying out Hash processing on each data block by utilizing a Hash function, distributing each data fragment to a plurality of backup nodes, registering a Hash value of the data fragment on a block chain by the backup nodes, and storing the Hash value on the corresponding backup node; in the storage process, a smart contract is utilized to manage data backup operation according to a preset rule, and by utilizing the characteristics of decentralization and non-tampering provided by a block chain technology, security guarantee of data backup can be realized in backup and disaster recovery, the problems of security and consistency of traditional centralized backup are solved, and data backup efficiency is improved. And through a block chain technology, distributed storage of the data can be realized, and it is ensured that the data is not tampered in a backup process.

The invention provides a battery thermal runaway focusing control method, and relates to the technical field of battery state monitoring, and the method comprises the steps: carrying out the real-time monitoring of a target battery cabin, obtaining a battery cabin monitoring data set, carrying out the standardization processing and feature recognition, building a battery cabin thermal runaway prediction module, and carrying out the thermal runaway prediction. And obtaining a comprehensive thermal runaway prediction coefficient, judging whether the comprehensive thermal runaway prediction coefficient is smaller than a thermal runaway threshold, generating a thermal runaway early warning signal if the comprehensive thermal runaway prediction coefficient is larger than or equal to a preset thermal runaway threshold, and performing thermal runaway operation and maintenance on the target battery compartment. The technical problem that the safety and the operation and maintenance efficiency of the battery system are further affected due to inaccurate thermal runaway risk identification caused by single battery cabin state monitoring means in the prior art can be solved, and the safety and the reliability of the battery system are improved.

The invention relates to pressure resistance detection equipment for valve production, which is applied to the field of valve production and comprises a rack, a sealing seat is arranged on the inner top side of the rack, a lifting driving device is mounted at the top end of the rack, a protective cover is mounted at the lower end of the sealing seat, and the protective cover comprises a first cover body and a second cover body. A second cover body is installed at the lower end of the sealing seat, a second compression spring is installed between the second cover body and the sealing seat, a water storage cavity is formed in the inner side of the bottom of the rack, a water guide hole communicated with the water storage cavity is formed in the middle of the inner bottom end of the rack, and a high-pressure pump is installed on the inner side of the water storage cavity. The machine frame can be used for being matched with the sealing base and the protective cover to comprehensively shield the valve, and the safety problem caused by accessory splashing or water flow splashing due to the fact that the valve is damaged due to too large pressure is avoided; the protective cover comprising a first cover body and a second cover body is arranged to be matched with a second compression spring; and the protection requirements in the detection process of valves with different sizes can be met.

The invention relates to a traffic illegal behavior analysis method, device and equipment and a storage medium, and the method comprises the following steps: carrying out the real-time monitoring of a road through a camera, and obtaining the real-time monitoring video data; performing behavior analysis on the vehicle in the real-time monitoring video data to obtain a behavior analysis result; if the behavior analysis result shows that traffic illegal behaviors exist in the vehicles on the road, feature extraction is carried out on the vehicles with the traffic illegal behaviors in the real-time monitoring video data, and illegal vehicle extraction features are obtained; through a preset positioning system, based on illegal vehicle extraction features, determining a position corresponding to the illegal vehicle; encrypting the position corresponding to the illegal vehicle and the behavior analysis result corresponding to the illegal vehicle, generating an evidence chain data block, and sending the evidence chain data block to the law enforcement terminal; the problem that the urban traffic jam and potential safety hazards are aggravated due to the fact that comprehensive and effective supervision is difficult to achieve through a traditional means and many traffic illegal behaviors cannot be found and processed in time is solved.

The invention relates to an automatic feeding positioning mechanism and an automatic feeding method, the automatic feeding positioning mechanism comprises a material loading assembly vehicle, the top of the material loading assembly vehicle is provided with a tray, and the tray is fixedly provided with a plurality of stator placing seats; the positioning frame is used for being fixedly arranged at the feeding station, and a containing space used for longitudinally passing through the material carrying assembly truck is formed in the positioning frame; the tray is borne and transversely limited by the top of the positioning frame; the detection assembly is arranged on the positioning frame and is used for sending out a signal after the tray is detected to reach the target position; and the jacking driving assembly is arranged on the positioning frame, the top of the jacking driving assembly makes contact with the bottom of the tray, and the jacking driving assembly vertically pushes the tray to ascend to the grabbing position after receiving the signal. Through cooperation of the material loading assembly vehicle, the box body positioning frame, the light sensor and the jacking driving assembly, the accuracy of feeding and discharging operation each time is ensured, and the problem that in the related technology, positioning is not accurate in the automatic feeding and discharging process of the stator iron core is solved.

The invention discloses an automobile cabin software control method and system based on multi-mode interaction, and relates to the field of multi-mode data, and the method comprises the steps: S1, multi-source signal synchronous collection and timestamp calibration; a user voice instruction, a gesture track and eye fixation point information are collected in real time through a distributed sensor array; according to sensor data, a three-level synchronization architecture is combined with a PTP precise time protocol to achieve microsecond-level clock synchronization, a unified time service timestamp is embedded in a data packet header, and the timestamp error is controlled within + / -0.5 ms; s2, dynamic environment interference compensation; the method comprises the following steps: constructing an environmental noise perception model; the construction of the environmental noise perception model comprises the following steps: starting a regional strong light suppression algorithm for a strong light scene with the illumination intensity greater than 10,000 lux; activating a motion compensation module for a bumpy scene with a vertical acceleration greater than 0.3 g, and outputting an environment compensation multi-modal data stream; s3, analyzing time-space association semantics; and S4, confidence decision and instruction execution.

The utility model discloses a compressed natural gas unloading pry utilizing solar energy, which comprises a box body, two paths of heating, pressure regulating and metering devices are arranged in the box body, and two unloading columns are arranged on one side of the box body. The compressed natural gas unloading pry can effectively solve the problems that the compressed natural gas unloading pry selects and utilizes heat sources, distribution of temperature and pressure, control of return pressure, prevention of gas leakage and the like, so that the compressed natural gas unloading pry is more energy-saving and environment-friendly when being used; and meanwhile, the stability of the water and electricity dual-purpose two-stage heat exchanger in the box body can be fully guaranteed, so that the safety and the stability of the compressed natural gas unloading pry are guaranteed.

The invention discloses a charging control system and method for an electric vehicle. The system comprises a vehicle control unit, a PDU, a charging socket, a first pre-charging relay, a first charging positive relay and a first charging negative relay. The first charging positive relay is connected in series between the positive output end of the PDU and the positive terminal of the charging socket, the first charging negative relay is connected in series between the negative output end of the PDU and the negative terminal of the charging socket, and the first pre-charging relay and the first charging positive relay are arranged in parallel. When a charging socket and a charging plug are plugged for charging, after a power battery charging and discharging loop is connected, a vehicle control unit firstly controls a first pre-charging relay and a first charging negative relay to be closed so as to perform pre-charging through a PDU pre-charging loop; and when the voltage difference between the two ends of the first charging positive relay is smaller than a set value, the first charging positive relay is controlled to be closed, the first pre-charging relay is controlled to be disconnected, and a PDU main charging loop is formed. According to the invention, the compatibility and safety with the charging pile can be improved.

The invention relates to the field of machine position supporting systems of tower building machines, and discloses a machine position supporting system of a tower building machine for tower building, a plurality of fixing grooves for fixing supporting reinforcements are formed in the circumferential surface of a tower, one end of each supporting reinforcement is connected with a reinforcing layer, and the other end of each supporting reinforcement is fixed with a preformed insertion stress plate arranged on the surface of the corresponding fixing groove; during installation, the installation position of the supporting reinforcing piece is firstly determined, and then the supporting reinforcing piece is placed into the corresponding embedding part of the preformed insertion stress plate. And then, a bolt penetrates through the interior of the control tower and sequentially penetrates through the preformed insertion stress plate and the supporting reinforcing piece, the bolt is tightened through a tool, and fixing is completed. According to the invention, through cooperative use of the preformed insertion stress plate and the bolt, stable fixation of the support reinforcer is realized, and the support reinforcer can be kept stable even if bearing a huge load.