1646results about How to "Integrity guaranteed" patented technology

The invention discloses an auto-filling method and device of a northbound FTP (File Transfer Protocol) performance file for a telecommunication network management system. The method comprises the following steps of: setting the granularity state of granularity of performance data according to the reported time of the performance data from a foreground network element by a performance loading module of the telecommunication network management system; when the performance loading module receives information reported subsequently by the foreground network element, wherein the information contains the performance data, if judging that the granularity of the performance data is in a completed state according to the set granularity state, then sending filling information containing the performance data to a northbound FTP performance module; and carrying out the processing that the performance data is filled to a previously generated northbound FTP performance file with the granularity by the northbound FTP performance module according to the filling information. Through the auto-filling method, the information reported by the foreground network element is analyzed to judge whether the northbound FTP performance file is complete or not, and the auto-filling of the performance data is carried out when the judgment result is that the northbound FTP performance file is incomplete.

The invention discloses a permission matching method and device, and relates to the technical field of computers. The method comprises the following steps: acquiring a to-be-matched path; performing permission rule matching on the to-be-matched path based on a pre-constructed permission rule tree; when the permission rule in the permission rule tree is matched, determining a corresponding rule control permission based on the permission rule, and obtaining a permission matching result of the to-be-matched path; and when the permission rule in the permission rule tree is not matched, determining a preset default control permission as a permission matching result of the to-be-matched path. According to the method, the accurate child nodes, the single-wildcard child nodes and the multi-wildcard child nodes are integrated through the permission rule tree of the single tree structure, common permission matching scenes such as accurate matching, single-segment wildcard matching and cross-multi-segment wildcard matching can be covered without introducing a regular expression, the integrity of the expression ability is guaranteed, the implementation complexity is reduced, and the implementation efficiency is improved. And the system stability is improved. And meanwhile, the problem of matching logic confusion caused by traditional multi-rule scattered storage is avoided.

This utility model discloses a corn threshing roller and a corn threshing roller assembly, belonging to the technical field of small agricultural threshers, mainly used for corn threshing. The technical problem to be solved by this utility model is to provide a corn threshing roller, including a rotating shaft and a supporting mechanism. A first layer of threshing ribs is arranged on the supporting mechanism with the rotating shaft as the center, and a second layer of threshing ribs is arranged outside the first threshing ribs. The supporting mechanism includes end supports arranged at the ends of the rotating shaft, and the first layer of threshing ribs is arranged between the end supports. The inner side of the first layer of threshing ribs has space for material passage. A corn threshing roller assembly is also provided, including a first and a second threshing roller arranged in parallel, forming a threshing channel between them. The first threshing roller is the aforementioned corn threshing roller, and the second threshing roller includes a second rotating shaft, a second supporting mechanism, and auxiliary threshing ribs. This utility model can improve the threshing rate and threshing efficiency, reduce the breakage rate, and improve the threshing quality.

The invention belongs to the field of industrial hosts, and discloses an intelligent industrial data analysis and processing host which comprises a support and further comprises a machine body, a collection wire, a detection head, a hollow cylinder, an L-shaped supporting plate, a protection assembly, a transmission driving assembly and an impact fixing assembly. Through the synergistic effect of multiple structures such as a nitrile rubber shock pad, a limiting plate, a limiting groove and a first spring, the negative effects such as deviation and component looseness caused by vibration of a host are relieved, vibration collection stability is guaranteed, meanwhile, the protection assembly can protect the detection head during external impact, and the detection efficiency is improved. The modular design and the gas circuit sealing structure further improve the universality of the equipment and the reliability of data acquisition, so that the functions of vibration buffering, accurate acquisition, impact protection and automatic reset of the host are realized through the linkage of the protection assembly, the transmission driving assembly, the hollow cylinder and the detection head, the service life of the host is prolonged, and the data acquisition accuracy is improved.

The invention relates to the technical field of generalized quantum evidence theory and image processing, in particular to a ship image data target identification method based on the generalized quantum evidence theory, which comprises the following steps: converting synthetic aperture radar ship image data into complex field synthetic aperture radar data, and constructing training data; generating a composite quantum evidence label according to the potential structure; training the quantum evidence neural network to obtain a standard quantum evidence neural network; inputting to-be-recognized complex field synthetic aperture radar data into the standard quantum evidence neural network, and extracting a complex field feature vector of a to-be-recognized sample; normalizing the complex field feature vector into a generalized quantum basic probability amplitude function, and defining a proposition space under a quantum identification framework; and calculating generalized quantum basic probability distribution of the proposition in the proposition space, and executing double judgment to obtain a recognition result of the original synthetic aperture radar ship image data to be recognized. According to the method, the accuracy of ship image data target identification based on the generalized quantum evidence theory can be improved.

The invention discloses an intelligent view collection method and system based on an unmanned aerial vehicle cluster, and relates to the technical field of unmanned aerial vehicle task planning, and the method comprises the steps: carrying out the three-dimensional space grid division of a target region, determining the flight attribute and priority weight of each grid unit, and obtaining a target grid unit set; candidate viewpoints are generated for the target grid units, and a coverage relation matrix is established; performing viewpoint selection under energy constraint by adopting a set coverage algorithm to obtain a viewpoint task set; distributing viewpoint tasks for each unmanned aerial vehicle through a distributed negotiation mechanism according to the unmanned aerial vehicle cluster state, and forming a task execution sequence; monitoring the execution state of the unmanned aerial vehicle cluster and dynamically adjusting task allocation; and constructing a spatio-temporal index structure of the view data, calculating the comprehensive coverage quality of each target grid unit, identifying a missing region and generating a supplementary shooting task. According to the method, the task allocation of coverage optimization and load balancing is realized under the energy constraint, and the efficiency and reliability of view acquisition are improved.

The invention discloses an autonomous evolution type 5G protocol fuzzy test system based on a large language model, and the system comprises a protocol extraction unit which employs the large language model to analyze a 5G protocol specification document, and extracts structured protocol knowledge elements containing a message format, state machine logic and parameter constraints; the vulnerability analysis unit generates a potential vulnerability description list through big language model reasoning based on the knowledge elements; the test strategy generation unit drives a large language model to generate a targeted test case based on protocol knowledge, vulnerability description and historical test knowledge in the dynamic test knowledge base; the test execution unit executes the use case and captures a result; and feeding back an analysis result of the internalization unit, extracting a causal rule, generating new test knowledge and feeding back the new test knowledge to the knowledge base. According to the system disclosed by the invention, test targets and resources can be autonomously scheduled according to continuous updating of the knowledge base, so that the test process has an iterative optimization capability, and full-process automation and intelligentization of 5G protocol fuzzy testing are realized.

The invention relates to the technical field of underground building foundation reinforcement and leakage prevention, in particular to an underground building foundation reinforcement and leakage prevention integrated device and method.The device comprises a movable rack, and a jolt ramming mechanism and an air drying mechanism are installed on the movable rack; the primarily-coated coating is impacted and compacted through the first compaction block and the second compaction block, the waterproof coating is powerfully pressed into holes in the inner wall of the foundation pit, a deeply-fused tight bonding layer is formed, and the interface bonding force and adhesive force between the waterproof coating and the inner wall of the foundation pit are greatly enhanced in the process; and the defect of insufficient bonding strength in the prior art is effectively overcome, so that the phenomena of peeling, cracking and overall falling of the waterproof coating in the later period are fundamentally prevented.

The invention relates to an epoxy resin adhesive composition and a preparation method thereof, and belongs to the technical field of high-performance polymer material modification and electronic packaging materials, and the epoxy resin adhesive composition comprises the following components by weight: 100 parts of basic epoxy resin; 5-30 parts of a hyperbranched liquid crystal modifier; adding the curing agent according to a stoichiometric ratio; 100 to 600 parts of a heat-conducting filler; 0.1-5 parts of an accelerant and an auxiliary agent; the hyperbranched liquid crystal modifier has a core-shell structure and is prepared from a hydrogen-containing hyperbranched polysiloxane core and an alkenyl-terminated liquid crystal epoxy monomer through a hydrosilylation reaction under the action of a catalyst, the hyperbranched polysiloxane core is introduced, the friction resistance among high-concentration fillers is reduced by utilizing the torispherical structure of the hyperbranched polysiloxane core, and the hyperbranched liquid crystal modifier has the advantages that the friction resistance is reduced; under the condition that 350 parts of heat-conducting filler is filled, the modifier is added, so that the high-filling system still has excellent flowability and leveling property while keeping high heat-conducting property, and is suitable for high-precision micro-encapsulation scenes; the heat conductivity of the scheme is obviously superior to that of a system which does not use the modifier or does not adopt a stepped heating process.

The invention discloses a causal knowledge graph construction and question-answering system based on retrieval enhancement generation and a large language model. The system comprises a multi-source heterogeneous knowledge base construction module, a retrieval enhancement generation module, a named entity recognition and causal triple extraction module and a knowledge fusion reasoning module, according to the method, a high-quality named entity annotation data set and a causal data set are constructed, and normalization and integrity of input knowledge are guaranteed; a mixed retrieval strategy (keyword + vector + sparse embedding) is provided, and the evidence coverage rate and recall precision are improved. Under RAG driving, LLM is combined, two rounds of causal triple extraction are achieved, and the causal relationship coverage degree and the direction judgment confidence degree are improved; a conflict detection and atlas fusion mechanism is designed to ensure the unity and consistency of new and old causal knowledge; a question answering system based on a causal atlas is also established, multi-hop causal reasoning is supported, and answers with controllable credibility and explainable are output.

The invention relates to a Keystone-based deep ground security heterogeneous data fusion method and system, and the method comprises the steps: deploying a Keystone trusted execution environment on a deep ground edge computing node, creating a security enclave, carrying out the encryption access of multi-source heterogeneous data on the basis of remote authentication and key agreement, completing the space-time alignment and feature extraction after decryption in the enclave, and carrying out the fusion of the multi-source heterogeneous data. And performing cross-modal association analysis and risk assessment based on a preset model or a rule engine to obtain a fusion result, encrypting and signing the fusion result in the enclave, distributing the fusion result to an authorized receiver through a secure channel, and realizing one-time task destruction, long-term task cycle reconstruction and key refreshing in combination with enclave full life cycle management. According to the method, the credibility and the real-time performance of heterogeneous data fusion processing in a complex scene can be improved while the confidentiality and the integrity of deep operation and maintenance data are guaranteed.

The application relates to the technical field of infrared emission tube row production equipment, and discloses an infrared emission tube row discharging and stacking mechanism, which comprises a shell and a material collecting frame. Two vertical plates are fixedly connected with mounting seats at the upper ends, the mounting seats are fixedly connected with four positioning columns arranged in a rectangular array at the upper ends, the bottom end of the material collecting frame is provided with four positioning grooves arranged in a rectangular array, one side of the material collecting frame is fixedly connected with two guide rods arranged in a mirror image, one end of the material collecting frame away from the guide rods is fixedly connected with a handle, the upper end of the shell is fixedly connected with a conveying groove body, and one side of the conveying groove body is fixedly connected with a photoelectric sensor. The infrared emission tube row discharging and stacking mechanism is characterized in that the positioning columns on the mounting seats are matched with the positioning grooves at the bottom end of the material collecting frame, the accurate positioning and stable placement of the material collecting frame on the mounting seat are realized, the position of the material collecting frame is accurate and correct in the subsequent discharging and stacking process, and the stacking quality and product integrity are guaranteed.

The invention relates to the technical field of feed production, in particular to an intelligent quality detection machine for feed production, which comprises a mounting frame and a housing, a housing is fixedly connected to the mounting frame; a rectangular groove I is formed in the mounting frame; a second rectangular groove is formed in the housing, and the first rectangular groove coincides with the second rectangular groove. The device further comprises a power assembly, a U-shaped frame, a roller, a sealing plate and the like. A power assembly is connected in the housing; the power assembly is connected with a U-shaped frame; a roller is rotationally connected to the U-shaped frame; a sealing plate is rotationally connected to the roller through a rotating shaft. According to the intelligent quality detection machine for feed production obtained through the design, the feed rolls inside through rotation and swing of the roller, so that the hardness, brittleness and water content of the feed are detected, time consumption is low, efficiency is high, production line parameters are convenient to adjust in time, a large amount of unqualified feed is prevented from being produced on a production line, and resource waste is reduced.

The application discloses a data crawling analysis method and device based on an industrial internet, and a medium, and belongs to the technical field of industrial internet data processing, and is used for solving the technical problems that the industrial internet data crawling in the prior art cannot be compatible with multiple types of web pages and dynamic loading technology, lacks customized rule configuration, has weak anti-crawling capability, and has low data structuring degree. The method comprises the following steps: collecting user demand data of a user; performing customized configuration on the initial crawling rule under the relevant rule adjustment to obtain a customized rule; performing crawling processing on a target website under relevant dynamic web pages and static web pages, and based on an anti-crawling mechanism, monitoring and controlling corresponding crawling actions to obtain target webpage data crawled; performing data structure analysis processing on the target webpage data to obtain a data structure format; performing distributed storage on the data structure format to obtain data storage result information; and feeding back and adjusting the customized rule.

The utility model relates to a kind of A-shaped frame anti-crack casting model for mine car in sand casting technology field, include A-shaped frame body, the A-shaped frame body includes two head portion integrated connection's inclined strut leg, the first muscle plate is connected between the inner corresponding face head end of two inclined strut legs, the head portion integrated connection's two side surfaces of two inclined strut legs are respectively provided with first riser piece and second muscle plate, the long strip tie between the inner corresponding face tail end of two inclined strut legs is connected, the long strip tie middle part is provided with the gate piece in the same direction with first riser piece, the tail end of two inclined strut legs is equipped with the second riser piece in the same direction with first riser piece;The casting model can avoid casting defects.

The present application relates to the technical field of power distribution control, and particularly relates to a power intelligent dynamic distribution method for a skid steer loader based on multi-working condition identification. The method comprises the following steps: performing skid steer loader multi-modal operation characteristic analysis on power states of skid steer loader multi-source operation data to generate skid steer loader multi-modal operation characteristic data; performing skid steer loader working condition characteristic analysis on the skid steer loader multi-modal operation characteristic data to generate skid steer loader working condition characteristic data; performing power demand characteristic analysis on working condition dynamic change trends based on skid steer loader real-time operation data and the skid steer loader working condition characteristic data to generate working condition dynamic change trend power demand characteristic data; and performing skid steer loader power distribution and dynamic optimization processing based on the working condition dynamic change trend power demand characteristic data to generate skid steer loader power distribution dynamic optimization data. The present application realizes efficient and energy-saving intelligent distribution of power under multi-working conditions of a skid steer loader.

The application provides a passive tag firmware upgrading method and device, equipment and a storage medium, relates to the technical field of communication, solves the problem that the related art firmware upgrade of the passive tag easily leads to the failure of the passive tag, and the scheme stores the fragmented data packet in the random access memory when the fragmented data packet corresponding to the to-be-upgraded firmware is received, acquires the voltage parameter of the energy storage capacitor in real time, and writes the fragmented data packet into the first storage area of the nonvolatile memory when the voltage parameter is greater than the preset threshold. In the case where all the fragmented data packets are written into the first storage area, the to-be-upgraded firmware is verified; in the case where the to-be-upgraded firmware passes the verification, the firmware upgrading operation is performed to stop running the original firmware stored in the second storage area of the nonvolatile memory and running the to-be-upgraded firmware. The scheme effectively reduces the occurrence of the failure of the passive tag and improves the maintenance efficiency of the passive tag.

The application discloses an insertion detection device and a terminal device, and belongs to the field of circuits. The insertion detection device is applied to the terminal device. The insertion detection device comprises an interface module and a signal detection module. The interface module comprises a detection pin. The signal detection module comprises a switching unit and an insertion detection unit. The detection pin is connected with a first end of the switching unit. A second end of the switching unit is connected with the insertion detection unit. A third end of the switching unit is grounded. When the switching unit is in a first state, the detection pin is in conduction with the insertion detection unit. When the switching unit is in a second state, the detection pin is grounded.

The application discloses a MongoDB dual-master synchronization method and system supporting field-level concurrent writing, and relates to the technical field of data synchronization of distributed databases. The method listens to change events of a local MongoDB cluster and writes the change events into a local Kafka; synchronizes change events of a remote Kafka to the local Kafka, consumes the change events of the remote Kafka; maintains a field-level version information set; consumes the change events in the local Kafka and queries the latest operation version related to the change events in the field-level version information set; compares the latest operation version with the version number of the change events, and if the version number of the change events is less than or equal to the version number of the latest operation version, determines that it is an abnormal operation and executes rollback correction. The method realizes field-level eventual consistency transparent to business, supports free concurrent writing at any point of dual clusters and does not lose non-conflict field updates, and at the same time, guarantees low synchronization delay and high reliable disaster recovery capability in an efficient and lightweight manner.

The application discloses a broken image fusion method and processing system, and a storage medium, and comprises the following steps: acquiring a first remote sensing image, and generating a vegetation pixel classification grid result; acquiring a second remote sensing image, and segmenting out a first and a second segmentation vector layer; analyzing the first vegetation boundary vector from the second remote sensing image, acquiring a second vegetation boundary vector, and performing spatial fusion on the first and the second vegetation boundary vector to obtain a vegetation constraint boundary; superimposing each vegetation grid into the first segmentation vector layer to form a first vegetation vector result; performing spatial cutting on the first vegetation vector result and the vegetation constraint boundary to obtain a second vegetation vector result; replacing the graph patches of the second vegetation vector result at the positions corresponding to the vegetation grids with the graph patches of the land boundary layer in the second segmentation vector layer to form a third vegetation vector result when the overlapping proportion is less than a second proportion threshold; and processing the graph patches of the land boundary layer based on the vegetation grid to form a fusion image. The application improves the image fusion collaborative efficiency.

The invention relates to the technical field of drilling and production equipment testing tools, in particular to a drill rod bidirectional clamping high-temperature testing clamp which comprises a shell, an outer wall clamping mechanism and an inner wall clamping mechanism, and the outer wall clamping mechanism and the inner wall clamping mechanism are arranged in the shell. The outer wall clamping mechanism comprises a contraction elastic clamping sleeve and a first driving device in driving connection with the contraction elastic clamping sleeve, and the inner wall clamping mechanism comprises an expansion elastic clamping sleeve and a second driving device in driving connection with the expansion elastic clamping sleeve. The contraction elastic clamping sleeve and the expansion elastic clamping sleeve are coaxially arranged in a spaced mode, and a clamping channel used for clamping the end of the drill rod is formed between the inner wall of the contraction elastic clamping sleeve and the outer wall of the expansion elastic clamping sleeve. The first driving device can drive the contraction elastic clamping sleeve to contract in the radial direction of the clamping channel, and the contraction elastic clamping sleeve expands and resets in the radial direction of the clamping channel after being undriven; the second driving device can drive the expansion elastic clamping sleeve to expand in the radial direction of the clamping channel, and the expansion elastic clamping sleeve shrinks and resets in the radial direction of the clamping channel after being undriven.

This invention relates to the field of photovoltaic monitoring technology, and discloses a photovoltaic monitoring adaptive sampling method, system, device, and medium based on multi-parameter coupled decision-making. The method includes: constructing a multi-dimensional environmental feature vector; dynamically setting a sampling threshold; determining the current operating mode and the corresponding baseline sampling period; introducing a hysteresis comparison mechanism and a delay confirmation mechanism to optimize the switching control of the operating mode; and introducing a correction coefficient to correct the baseline sampling period to obtain the final sampling period; performing mixed verification on the collected data and outputting data confidence labels; monitoring the operating status in real time; and judging and handling real-time operating faults based on the data verification results. This invention, by constructing a multi-dimensional environmental state vector, performing adaptive sampling based on the environmental state vector, and calculating the sampling period in real time, can output a clean dataset with confidence labels and back-optimize the threshold parameters of the decision layer.

This invention discloses a persistent data storage system, method, terminal, and medium. The system includes a secure virtual block device, an IDE module, and a secure storage operation module. The secure virtual block device resides in a trusted execution environment (TEE), providing a standardized block storage interface for the upper-layer file system and is compatible with the formatting and mounting of general file systems. The secure virtual block device stores its own secure metadata in a secure superblock. The IDE module resides in the TEE and is connected to the secure virtual block device, used to protect the confidentiality and integrity of data through encryption algorithms. The secure storage operation module resides in the rich execution environment and is connected to the IDE module, used to implement specific storage operations. This invention enables persistent data storage, and its combination with a TEE environment ensures the confidentiality, integrity, crash consistency, and freshness of data stored persistently in the TEE.

The application relates to the technical field of data transmission, and discloses an industrial Internet of Things data transmission optimization method in a complex environment, which comprises collecting data transmission parameters and environment parameters of industrial Internet of Things equipment in a complex environment, generating original data transmission data sets and environment parameter data sets; preprocessing the original data transmission data sets and the environment parameter data sets, including data cleaning, normalization and feature extraction, generating preprocessed data transmission feature data and environment features; collecting data transmission parameters and environment parameters of the industrial Internet of Things equipment, and performing data cleaning, normalization and feature extraction on the data transmission parameters and the environment parameters, so as to generate preprocessed feature data, guarantee the accuracy and reliability of data transmission analysis, simultaneously perform timestamp alignment and space correlation processing on the environment parameters and the transmission parameters, perceive the influence of the complex environment, and guarantee the accuracy and integrity of the data transmission optimization basic data.

This disclosure provides a data processing method, system, electronic device, and medium for model inference scenarios. The data processing method includes: writing target data to be transmitted in the model inference scenario into at least one write area in a preset buffer using a data stream; obtaining different sensitive data and sensitive data pointer information in the write area based on sensitive data identifier information in the data stream, and generating structure information to obtain an initial sensitive data linked list; encrypting different sensitive data in the write area using a first preset data processing algorithm and the initial sensitive data linked list to generate a target sensitive data linked list, and transmitting it to the device in the model inference scenario. This disclosure can ensure the security and integrity of sensitive data transmission from the host to the device, effectively avoid the leakage of sensitive information, and ensure the security and reliability of the entire data transmission process.

The application belongs to the technical field of low-temperature storage tanks, and relates to a liquefied gas storage tank and a ship for transporting liquefied gas, which comprises a tank body, a loading and unloading tower and a transition structure. The tank body comprises a main shielding layer, an insulation module and a secondary shielding layer. The main shielding layer is provided with a mounting hole and has a main body part, an edge part and a connecting area. The loading and unloading tower comprises a base which passes through the mounting hole. The base is provided with a connecting part with a second support surface. The insulation module has a first support surface. The main body part is fixed to the first support surface. The edge part is connected to the second support surface. When the storage tank seals the storage of liquefied gas, a height difference is formed between the first support surface and the second support surface. The transition structure is used to reduce the deformation gradient of the connecting area when the height difference is formed. The application can effectively avoid the formation of a local weak link in the main shielding layer under extremely low-temperature working conditions, and improve the fatigue life of the main shielding layer.

The application provides a field maintenance shelter equipment state monitoring and early warning system. The system comprises an equipment state acquisition unit installed on the maintenance equipment, an environment reference sensing unit fixed to the cabin structure, a central control processing unit and a communication transmission unit. The central control processing unit is configured to synchronously receive equipment operation data and environmental disturbance data, and calculate the time domain coupling coefficient of both in the same time window. When the coefficient is greater than the homologous threshold, it is determined as environmental disturbance and the suppression strategy is executed, and only the lightweight heartbeat frame is sent; when the coefficient is less than or equal to the homologous threshold and the data is over standard, it is determined as endogenous failure and the burst strategy is executed, and the emergency diagnosis frame containing the complete waveform is sent with the highest priority. The application effectively distinguishes the road bump disturbance from the endogenous failure of the equipment through differential coupling analysis, and combines the radio silence logic to ensure the accuracy of the data while improving the tactical survivability.

This invention belongs to the field of blockchain technology, specifically relating to a semantic identifier blockchain retrieval method and system for large-scale distributed data. This invention designs a unified semantic identifier model, mapping data records from different sources and in different formats to multi-level scalable semantic paths. It constructs a MIR tree forest, integrating the organization of Trie and the verifiability of Merkle, with each scenario as the root. Only the root hash of each scenario or its aggregate root is maintained in the block header, thereby achieving overall constraint on the state of large-scale off-chain semantic indexes while maintaining lightweight on-chain storage overhead. Simultaneously, this invention designs corresponding index traversal and verification object construction mechanisms around various semantic retrieval modes, enabling clients to verify the correctness of target records with only limited path and node hash information. This provides a new technical path for unified semantic management and efficient verifiable retrieval of multi-source heterogeneous data in the HSB environment.

The application provides a cable core coating forming device for cable processing and relates to the technical field of cable core coating. The device comprises a main body, size adjusting assemblies are symmetrically arranged in the mold, a resisting plate is fixed at one end of the size adjusting assembly, a plurality of delivery wheels are symmetrically arranged in the mold, an arc adjusting assembly is arranged in the delivery wheel, a cleaning assembly is arranged in the fixing seat, and a plurality of cleaning wires are fixed at equal angles on one side of the cleaning assembly. The meshing transmission of the bevel gear and the bevel gear ring can realize the synchronous rotation of the two-side lead screws, and then drive the synchronous displacement of the moving column, the fixing frame, the delivery wheel and the resisting plate, so that the reliable straightening of the cable core can be realized, the central clamping of the cable core can be realized, the cable core can always move linearly along the center of the mold, and the technical defects of the eccentric coating layer, the uneven thickness and the like caused by the bending, the deflection and the shaking of the wire core are solved.

The invention discloses a micro-vibration control construction process for a grating vibration isolation foundation, and relates to the technical field of building construction. Comprising the following steps: S1, measuring and positioning: measuring and releasing sideline control piles of each shock insulation pier and a sand-gravel cushion layer; s2, construction of a graded gravel cushion layer; s3, compaction coefficient detection; s4, paying-off is conducted on the bottoms of the shock insulation piers, wherein the sideline control point of each shock insulation pier is measured and paid off; s5, side formwork installation and steel bar binding, wherein the distance between the vibration isolation pier and the equipment walkway foundation is 10 cm, a foam polyethylene plate with the thickness of 10 cm is adopted as the side formwork, and the side formwork and the steel bars are installed, bound and formed together; s6, mass concrete pouring and temperature control, wherein layered pushing type continuous pouring is adopted, and the thickness of each layer does not exceed 50 cm; s7, concrete curing; and S8, buffer seam treatment. The compaction graded gravel cushion layer is arranged as a vibration isolation filtering layer, and the large-scale independent vibration isolation pier body is combined, so that double isolation of earthquake dynamic response and environmental vibration is effectively realized, and stable operation of a precise instrument is ensured.