334results about How to "Maintain reliability" patented technology

The invention belongs to the technical field of intelligent electric power inspection and multi-agent cooperative control, and provides an electric power multi-agent dynamic cooperative inspection method and system, and the technical scheme is that a path planning scheme is generated by using a reinforcement learning algorithm and a large language model, so that an agent can dynamically adjust an inspection path according to real-time data and task requirements, and the inspection efficiency is improved. Therefore, the minimization of the path and the maximization of the inspection efficiency are realized, and unnecessary travel and resource consumption are reduced. Meanwhile, a dynamic task redistribution mechanism in the system ensures that the intelligent agent can quickly respond and redistribute tasks under the conditions of equipment failure, environment change or task priority adjustment. And real-time communication and data synchronization among the intelligent agents ensure information sharing, so that the system still keeps task continuity and reliability in emergency.

The invention relates to a satellite internet resource scheduling method based on deep reinforcement learning, and aims to solve the problem that in an SGIN environment, an unstable link easily causes increase of a VNF backup AoI and thus it is difficult to ensure that the VNF can be quickly recovered when a fault occurs. A VNF state transition and failure recovery model is established for the problem that the AoI of VNF backup is increased due to link instability, and a VNF backup model perceived by the AoI is established to adjust bandwidth resources to optimize the AoI. In order to solve the problem that the VNF backup is far away from the original VNF due to relative movement between network nodes, a VNF backup migration mechanism is introduced. In order to make an adaptive optimization strategy for services with different time delay sensitivities, a time delay sensitive factor is introduced as a weight, an optimization problem is established by taking maximization of VNF backup income as an optimization target, and the optimization problem is solved. A simulation result shows that the scheme can reduce the interruption time delay of the VNF with a serious fault under the condition of reasonably utilizing network resources.

The invention relates to the technical field of signal analysis and processing, in particular to an underground flow switch control method based on vibration signal analysis. The method comprises the steps that 1, vibration signals of a pump are collected through a three-axis vibration sensor, and acceleration time domain signals in the three-axis direction are obtained; performing multi-dimensional vibration spectrum component decoupling on the acceleration time-domain signal to obtain a time-frequency characteristic matrix of three-axis vibration; 2, calculating a Reynolds stress tensor based on the turbulence intensity; calculating a flow state transition criterion value according to the turbulence intensity and the Reynolds stress tensor, and establishing a flow estimation model; 3, according to the flow estimation model, dynamic response of underground flow switch control is generated; and according to the dynamic response, a self-adaptive control law for controlling the underground flow switch is generated by using a self-adaptive control method. According to the invention, the limitation of a traditional pressure sensing and flow sensing technology in a complex underground flow state is effectively overcome, and the real-time performance, the accuracy and the environmental adaptability of flow control are remarkably improved.

The invention provides an intelligent scheduling control method for an electric energy meter verification assembly line, and belongs to the technical field of electric energy meters. S1, features extracted from an original data set are expressed as a feature matrix, and a multi-level collaborative algorithm is designed; s2, the global scheduling layer is responsible for distribution of overall resources and macroscopic scheduling decision making, the input is a feature matrix, and the output is a task priority matrix; s3, the local scheduling layer is responsible for distribution of specific tasks and management of execution details, the input is a task priority matrix, and the output is a specific task distribution matrix; and S4, the equipment control layer is responsible for operation and state monitoring of verification equipment, inputting the specific task distribution matrix, outputting the specific task distribution matrix and the equipment control instruction set, and dynamically adjusting the specific task distribution matrix and the equipment control instruction set according to feedback. According to the invention, the Internet of Things and the big data technology are fully utilized, and the intelligent algorithm is combined, so that efficient, intelligent and automatic control of the electric energy meter verification assembly line is realized.

The invention discloses an environment temperature and humidity comprehensive monitoring device, and relates to the field of environment monitoring, and the device comprises a mounting rack which is used for bearing all functional parts and functional modules, and serves as a mounting main body; the monitoring unit is used for detecting temperature and humidity data in a limited range as initial detection data; the temperature and humidity acquisition part is used for analyzing interference sources and influence events in a limited range and compensating initial detection data; the monitoring unit and the temperature and humidity acquisition part are both mounted on the surface of the mounting frame; an interference source in an environment and a state of the interference source are detected and identified in real time, an interference compensation model is constructed by using historical data, influence brought by the interference source is converted into a compensation value, and detection data are corrected, so that external interference factors are compensated intelligently, and an initial detection value is corrected based on the compensation model and an actual interference value. The stability and accuracy of final temperature and humidity monitoring data are ensured, and the actual condition of the current monitoring area is accurately reflected.

The invention discloses a distributed photovoltaic grid management method and system, and relates to the technical field of distributed photovoltaics, a distributed photovoltaic efficiency analysis module of the system monitors and evaluates the power utilization efficiency Psys of the whole system in real time by constructing a power efficiency formula, and compares the power utilization efficiency Psys with a preset efficiency threshold value X. When the operation efficiency of the system is lower than a set threshold value, the intelligent scheduling and energy distribution module starts an optimization strategy according to an electric power balance scheduling analysis result, redistributes electric power supply, preferentially meets a high-demand area or an area with insufficient energy storage, and ensures electric power supply and demand balance. According to the system, through an intelligent scheduling algorithm, power distribution is flexibly adjusted based on the priority factor of each micro-grid unit, and the operation efficiency of the system is improved. An intelligent feedback and iterative scheduling mechanism enables the system to still maintain efficient operation under continuously changing load and power generation conditions, power loss is reduced, resource waste is reduced, and the overall power utilization rate is improved.

The invention discloses a nuclear power device fault diagnosis method based on feature vectors and Bayesian reasoning, belongs to the technical field of Bayesian reasoning, and particularly relates to nuclear power device fault diagnosis. The method solves the problem that a traditional Bayesian model only uses parameter values as a fault reasoning basis and ignores a large amount of parameter time-frequency feature information, so that the model is difficult to distinguish feature similar faults and realize accurate positioning of the faults, and the fault diagnosis accuracy and the model robustness are affected. The method comprises the following steps: a model learning step: performing structure learning and parameter learning on a Bayesian model according to fault historical operation data to obtain a Bayesian vector reasoning model; the nuclear power device fault diagnosis method based on the feature vector and Bayesian reasoning is suitable for fault diagnosis of a nuclear power device.

The invention discloses an advanced data encryption protection technology for DNA information storage, and the specific technical scheme of the technology comprises the steps: coding to-be-encrypted data into small information blocks and transcoding the small information blocks into a DNA sequence through a coding and encryption scheme, after the DNA sequence is synthesized, introducing interference information through random errors or fractures, the interference intensity of random combination interference noise is effectively improved; the method for decrypting the DNA library carrying the encrypted information comprises the steps of sequencing, fragment assembly, information small block reconstruction, reordering and decoding, and finally decoding the original information based on an erasure coding scheme. The technology has a wide application prospect in the field of data storage and protection.

The invention relates to the technical field of motors, in particular to a three-phase permanent magnet synchronous motor which is composed of a motor shell, a stator and a rotor and further comprises a cooling mechanism, the cooling mechanism is used for cooling the interior of the motor, and the cooling mechanism comprises an annular cooling cylinder fixedly arranged on one side of the motor shell. The stator and the rotor can be efficiently cooled through the annular cooling cylinder and the spiral liquid cooling pipe, and the design of the heat conduction assembly and the cooling assembly ensures that the temperature of each part in the motor is uniformly distributed, so that potential problems caused by local overheating are avoided. The uniform cooling helps to maintain the performance consistency and reliability of the motor, and the motor drives the first draft fan and the second draft fan to enable the cooled air to circulate in the motor shell and the rotor while starting, thereby improving the cooling efficiency, and enabling the cooling effect to be more remarkable.

The invention belongs to the technical field of electrical equipment, and discloses a switch cabinet with a temperature monitoring mechanism, the switch cabinet comprises a cabinet body, one end of the cabinet body is connected with a cabinet door through a hinge, and the outer surface of the cabinet door is provided with an observation window. The temperature sensor can sense the temperature inside the cabinet body and then transmit temperature data to the monitoring host, the monitoring host is provided with a display screen and can display the temperature value, when the temperature value is too high, the warning device can give an alarm, and the monitoring host can control the air inlet fan and the air outlet fan to rotate synchronously. The air inlet fan can send air into the cabinet body through one air outlet, then the air outlet fan exhausts hot air in the cabinet body through the other air outlet, and the filter screens are arranged at the air outlets, so that impurities in the air can be blocked, and the cabinet body can be cooled while the temperature is monitored.

The invention discloses an unmanned aerial vehicle cluster cooperative control method and system, and relates to the technical field of unmanned aerial vehicle control, and the method comprises the following steps: constructing an unmanned aerial vehicle cluster topological structure; according to the position of each unmanned aerial vehicle, the unmanned aerial vehicles are distributed to corresponding clusters, and a main cluster head and an auxiliary cluster head are determined; in an unmanned aerial vehicle cluster, direct communication links among member unmanned aerial vehicles in the cluster and direct communication links with all unmanned aerial vehicles in other clusters are disconnected, a cluster boundary range with a main cluster head as the center is set, task data are transmitted to the main cluster head and an auxiliary cluster head at the same time when tasks are executed, and when the main cluster head breaks down, the auxiliary cluster head takes over and reselects the auxiliary cluster head; kalman filtering is used to predict the motion state of the unmanned aerial vehicle, an abnormal score is calculated by using an isolated forest algorithm, and if the abnormal score exceeds a preset score threshold, it is determined that the cluster is abnormal and the cluster structure is readjusted, so that instability of the whole unmanned aerial vehicle cluster caused by a fault of an individual unmanned aerial vehicle is avoided.

The invention discloses an ecological slope protection supporting structure for hydraulic engineering, and relates to the technical field of ecological slope protection, the ecological slope protection supporting structure comprises a fixing block, rotating plates are rotatably connected to the two sides of the surface of the fixing block, inserting rods slidably mounted on the fixing block are arranged below the rotating plates, and the inserting rods are used for being inserted into soil to fix the position of the fixing block; a control assembly is arranged in the fixing block. According to the ecological slope protection supporting structure for the water conservancy project, when rainwater slides down from a slope and generates impact force on the rotating plate, the mechanism can automatically adapt to the external force and convert the external force into rotating kinetic energy of the rotating plate, manual intervention is not needed in the design, rainwater impact can be automatically responded, and the intelligent degree and the automation degree of a system are improved; the rotating plate rotates through a series of mechanical transmission to finally drive the supporting plate and the first pressing plate and the second pressing plate on the supporting plate to conduct compaction treatment on soil, the compaction mechanism is efficient, the compactness of the soil around the inserting rod can be guaranteed, and soil loss is effectively prevented.

The invention discloses a novel load resource scheduling system and method for an urban demand side, and relates to the technical field of power system management and scheduling, and the method comprises the steps: extracting user power utilization features and energy production features from preprocessed urban data; establishing a user electricity consumption prediction model based on the historical user electricity consumption data, inputting the user electricity consumption characteristics into the user electricity consumption prediction model, and predicting the user electricity consumption; based on the historical energy production data, establishing an energy production prediction model, inputting the energy production characteristics into the energy production prediction model, and predicting the energy production amount; obtaining a personalized scheduling strategy based on the user electricity consumption and the energy production; and evaluating the scheduling effect of the personalized scheduling strategy, and performing feedback adjustment according to an evaluation result. According to the invention, through multi-channel data collection and preprocessing, the accuracy of load prediction and energy production prediction is improved.

The invention is suitable for the technical field of communication fusion, and particularly relates to a wireless and wired fusion data center interconnection structure, device and method. The cellular network clusters are connected through optical fiber links, each cellular network cluster is composed of a plurality of cellular units, and the cellular units in the same cellular network cluster are interconnected in a wireless link mode. By building a wireless free space optical communication link, direct interconnection between cellular units in the same cellular network cluster is realized, the routing hop count is reduced, the communication time delay is reduced, the flexibility and efficiency of network interconnection are greatly improved, and by combining the optical fiber, the communication efficiency is improved. The high stability and the anti-electromagnetic interference capability of the optical fiber can be fully utilized, a flexible redundant path can be provided for a wireless free space optical communication link, and the continuity and the reliability of communication can still be kept when a wired link is blocked.

The invention relates to the technical field of on-machine measurement control, and discloses a V-shaped groove guide rail on-machine machining measurement system and method. The control end of the measuring body is connected to the driving end of a machine tool through a controller, and the measuring end of the measuring body and a grinding wheel of the machine tool are placed in a V-shaped groove of a guide rail to be measured in parallel. The measuring body comprises a sensor and two groups of contraction measuring rod assemblies; the two groups of contraction measuring rod assemblies are correspondingly arranged at the two ends of the sensor respectively and are connected to the control end of the controller through the sensor; and the measuring ends are measuring balls arranged at the end parts of the two groups of telescopic measuring rod assemblies. According to the invention, through integration of measurement and processing functions, real-time measurement can be carried out without interruption of the processing process, so that the overall efficiency of measurement and processing is significantly improved. By means of the mode of measuring and machining at the same time, the conversion time between measuring and machining in a traditional method is shortened, and the production process is accelerated.

The invention provides a multi-factor analysis system and method suitable for stock markets and a medium, and the system comprises a data integration module which obtains original financial data, and carries out the preprocessing of the original financial data; the factor analysis module is used for performing factor analysis on the preprocessed financial data through a built-in factor library and a factor calculation engine to obtain an analysis result; the factor analysis comprises single factor analysis, multi-factor analysis and attribution analysis; the factor library is dynamically set based on stock markets; and the factor calculation adopts a distributed calculation architecture. According to the system, the factor library and the factor calculation engines are set according to stock market rules, the practicability of the analysis system in the stock market is improved, the factor calculation engines are set in parallel, the calculation rate is greatly increased, factor design is dynamically adjusted according to market conditions, and it is guaranteed that the multi-factor analysis system can adapt to the rapidly-changing market conditions.

The invention discloses an intelligent assessment method and system for regional geological disaster risk, and relates to the technical field of intelligent assessment. During operation of the system, various real-time data related to debris flow are acquired by integrating real-time sensors and satellite remote sensing data, original data are preprocessed and stored in a data storage system; based on the collected data, a physical model and a machine learning model are constructed, a debris flow disaster risk index MRI, a rainfall intensity coefficient RIC, a geological vulnerability coefficient GVC and a hydrodynamic pressure coefficient HPC are obtained after calculation, the probability of debris flow occurrence is predicted, and a result is output according to the model. The debris flow disaster risk index MRI is compared with a preset first safety threshold value M and a preset second safety threshold value N, the risk level of debris flow occurrence is evaluated, different areas are managed in a classified mode, debris flow early warning is given out according to real-time monitoring data and risk evaluation results, and automatic emergency response measures are supported.

The invention discloses a thermoelectric waste heat coupling heat supply system based on geothermal energy, and particularly relates to the technical field of energy utilization, comprising: a geothermal energy extraction module transmits geothermal energy to a heat supply pipe network through a geothermal well and a heat pump to realize primary heat supply; the heat pump module raises the geothermal temperature to ensure stable output; the heat supply analysis module monitors the primary heat supply state and judges whether the hidden danger of heat insufficiency exists or not; if the defects exist, the overall heat supply state judgment module generates a geothermal energy heat supply index and a heat pump efficiency index, and the heat supply state is comprehensively judged; the control adjusting module triggers the thermal power plant waste heat module according to the result, and secondary temperature increasing is carried out to guarantee heat supply; the geothermal energy and the waste heat of the thermal power plant are organically coupled, the two heat sources are effectively integrated, optimal allocation of resources is achieved, the geothermal energy serves as a basic heat source to meet basic heat supply requirements, the waste heat of the thermal power plant serves as an auxiliary heat source to automatically start to supplement heat when heat supply is insufficient, and therefore continuity and stability of heat supply are guaranteed.

The utility model belongs to the technical field of cable bridges, in particular to a cable bridge applied to an underground pipe gallery, which comprises a transverse bridge and a longitudinal bridge, a connecting arm is arranged between the transverse bridge and the longitudinal bridge, and the transverse bridge and the longitudinal bridge are connected through the connecting arm. Cable convenient arrangement mechanisms are arranged on the inner walls of the transverse bridge and the longitudinal bridge; the inner diameter of the threaded sleeve is the same as the inner diameter of the guide groove, the threaded heads are fixedly connected to the two ends of the flexible pipe, the ends of the flexible pipe are connected to the ends of the threaded sleeve in a threaded mode through the threaded heads, then a cable penetrates through the flexible pipe, and then the two ends of the flexible pipe are installed in the threaded sleeve through the threaded heads. Therefore, the protection performance of the cable can be improved, the stress concentration of the cable is reduced, the installation flexibility and convenience are improved, the protection level and the installation flexibility of the cable are improved, and the stability and reliability of a cable system can be maintained.

The invention provides a data storage method and device based on a snapshot technology, which can provide data storage and backup based on a directory-level fine-grained snapshot technology. The data storage method based on the snapshot technology comprises the steps that a file system disk layout is divided, and a metadata area and a main area are obtained; wherein the metadata area comprises a version address table, and the main area comprises a storage index node segment area, a data segment area and a version segment area; when a directory snapshot is created in response to the snapshot request instruction, creating a new entry in the version address table, and recording a directory snapshot name and current system time as an index node; storing index nodes based on a chain management structure so as to store directory snapshots of different versions; wherein each index node of the chained management structure comprises necessary information for creating the directory snapshot, a timestamp of the directory snapshot, a pointer pointing to a data block and a pointer of a next directory snapshot address.

The invention discloses a steel-plastic composite pipe self-melting material sealing method and forming equipment, and relates to the technical field of steel-plastic composite pipe end sealing. Comprising a base, a guide rail device connected to the base through threads, a clamping mechanism connected to the guide rail device through threads, a first air cylinder or a first oil cylinder connected to the clamping mechanism through threads, and a second air cylinder or a second oil cylinder with a piston rod in threaded connection with the clamping mechanism. The mold mechanism is in threaded connection with the guide rail device; a piston rod of the third air cylinder or the third oil cylinder is in threaded connection with the mold mechanism; pipe plastic can be rapidly and evenly heated to be molten, the sealing defect can be avoided through the exhaust hole, the sealing quality is improved through the material sealing component, and the two ends are sealed at the same time through cooperation of the symmetrically-arranged mold mechanisms and the third air cylinder.

The utility model discloses a new energy automobile high-voltage wire harness airtightness test tool comprising a support, a pedestal arranged at the bottom of the support, an air pressure detection assembly arranged at the left side above the pedestal, a fixing block arranged in the air pressure detection assembly, and a connecting hole arranged above the fixing block. The air pressure detection assembly is fixedly connected with the base through bolts, the new energy automobile high-voltage wire harness air tightness test tool supplies power through a power line, accurate positioning of the wire harness can be ensured through the positioning holes, the wire harness can be accurately installed on equipment or a structure, and alignment and installation of the wire harness and the equipment or the structure are simpler, more convenient and more reliable through the positioning holes. The problem that the position of the wire harness deviates or swings is avoided, the sliding rod is in sliding connection with the inner cavity, the problem that when the new energy automobile high-voltage wire harness airtightness testing tool is used, pressurization is directly conducted without fixing the wire harness, and safety accidents are likely to happen due to wire harness dislocation is solved, and the safety of the device is improved.

The invention discloses a wing-shaped shoulder rehabilitation training evaluation system based on simplified signal expansion, which realizes accurate monitoring and evaluation of a wing-shaped shoulder patient through household wearable IMU sensing equipment assisted by EMG + IMU signal fusion processing, can deeply analyze the activity states of muscles and joints, and can improve the rehabilitation training accuracy of the wing-shaped shoulder. And a personalized and standardized rehabilitation training scheme is provided for the patient. The system can assist a patient in more scientific and intelligent rehabilitation training in hospitals and home environments, the rehabilitation effect is improved, discomfort in the rehabilitation period is relieved, and a real-time data feedback and rehabilitation progress evaluation tool is provided for doctors.

The invention discloses a parasite egg detection method and system, and relates to the technical field of egg detection. Comprising the following steps: collecting a certain volume of a test sample, putting the test sample into a centrifugal tube, performing centrifugal operation, and reserving a precipitation part at the bottom of the tube; re-suspending the centrifuged precipitate part in normal saline, injecting the mixed liquid into a microfluidic chip, arranging a protruding electrode in the microfluidic chip, and coating the surface of the electrode with a specific antibody to capture eggs; current at different moments is calculated, and meanwhile microscope images of the electrodes are collected; establishing a Yo lov5s model, and training the Yo lov5s model by taking the contour of the parasite egg as a label; inputting a microscope image of the electrode into the Yo lov5s model, identifying a parasitic ovum contour in the image, and performing feature extraction on a contour image part; and jointly judging whether the parasitic eggs exist in the sample based on the change of the current at different moments in combination with the characteristic parameters, and if so, calculating the concentration of the parasitic eggs based on the change of the current and the number of the parasitic eggs.

The integrated electric vehicle charging device is compact in structure, good in heat dissipation performance and stable and reliable in operation and comprises a support, the support forms a first containing cavity and a second containing cavity which are separated up and down through a partition plate, the partition plate is provided with a heat exchange pipeline extending circuitously, and the heat exchange pipeline is provided with a first heat exchange pipe and a second heat exchange pipe. The heat exchange pipeline is provided with a water inlet connector and a water outlet connector which are exposed out of the first containing cavity. A PDU module, wherein the PDU module is assembled in the first accommodating cavity; the step-up and step-down module is arranged in the second accommodating cavity, and the step-up and step-down module comprises a Buck-Boost unit and a DCDC (Direct Current to Direct Current) unit; the Buck-Boost unit is provided with a first flow channel piece used for heat dissipation, and the Buck-Boost unit is provided with a first connector and a second connector which are communicated through the first flow channel piece. The DCDC unit is provided with a second flow channel used for heat dissipation, and the DCDC unit is provided with a third interface and a fourth interface which are communicated through the second flow channel. The invention relates to the technical field of electric vehicle charging.

The invention relates to the technical field of power control of hybrid power vehicle models, and discloses a running starting method and system for a tandem type hybrid power vehicle model under a full-load working condition. According to the running starting method for the tandem type hybrid power vehicle under the full-load working condition, by obtaining the result that the maximum instantaneous available power of the battery and the current actual power of the driving motor are smaller, the power limit of the driving motor can be dynamically adjusted, and it is ensured that the driving motor operates on the premise that the power supply capacity of the battery is not exceeded; the problem that the power of the driving motor is insufficient, the torque of the driving motor falls into a pit and the like due to the fact that the available power of the battery is additionally occupied when the starting motor is started is solved, and meanwhile the problem of unexpected acceleration caused by the fact that the maximum instantaneous available power of the battery is too large can be solved. The torque limit of the driving motor is calculated according to the final power limit of the driving motor, the torque output of the driving motor is adjusted, and it can be ensured that the vehicle can keep the optimal energy utilization state under various working conditions.

The invention belongs to the technical field of robots, and discloses a decoupling control method and system for a two-degree-of-freedom vibration suppressor of a robot, and the method comprises the steps: analyzing the structural characteristics of a robot system, and designing a decoupling control strategy through a structural invariance principle; coupled vibration of force applied in the X direction in the Y direction and coupled vibration of force applied in the Y direction in the X direction are effectively eliminated. Compared with a traditional vibration control method, the multi-degree-of-freedom vibration suppression method has the advantages that the influence of a pose related mode and a coupling mode of the robot is fully considered, multi-degree-of-freedom vibration suppression can be efficiently realized in real time in a complex load and dynamic environment, and the adaptability and the control precision are relatively high. The technology has wide application prospects in the fields of robot precision machining, assembling, carrying and the like, and the stability, precision and working efficiency of a robot system can be remarkably improved.

The invention relates to a preparation method of a toughened polylactic acid composite material based on an interfacial compatibilization effect, which is characterized in that an in-situ compatibilizer is prepared through molecular structure design based on chemical interaction between an active functional group of a grafting agent and a double bond on an ethylene propylene rubber molecular chain; the in-situ compatibilizer is used for improving the binding power between the polylactic acid and the ethylene propylene diene monomer, so that the two-phase interface compatibility is improved; a unique stereocomplex crystal structure of polylactic acid is further introduced into the system, and the two-phase dispersion state is improved by virtue of regulation and control and crystallization induction effects of stereomicrocrystals on a two-phase interface, so that the toughened polylactic acid composite material is prepared; by optimizing the content of an in-situ compatibilizer and a stereocrystal, a processing technology and other methods, formation of composite materials with different phase morphologies is induced, different modification and toughening effects are achieved, and the high-toughness polylactic acid composite material is prepared.

The invention relates to the technical field of aggregation display, in particular to a communication aggregation display method. The method comprises the following steps: performing communication node wireless bandwidth extraction and signal emission frequency intensity evaluation on cell communication node data to obtain node signal emission frequency intensity data; performing frequency interaction interference identification and frequency intensity attenuation rule identification on the node signal emission frequency intensity data to obtain frequency intensity attenuation rule data; performing multi-factor environment state sensing according to the frequency intensity attenuation rule data to obtain frequency attenuation multi-factor environment sensing data; performing signal quality optimization processing according to the frequency attenuation multi-factor environmental perception data to obtain signal quality optimization data; and constructing a wireless communication quality knowledge graph according to the signal quality optimization data to obtain the wireless communication quality knowledge graph so as to execute wireless communication cell aggregation display. According to the invention, aggregation display can be more perfect.

The invention discloses hectorite composite antibacterial and antioxidant hydrogel and a preparation method and application thereof.The preparation method comprises the steps that hectorite is dispersed in deionized water to obtain dispersion liquid, zwitterionic monomers are added, the dispersion liquid is adsorbed on the surface of hectorite through the interaction between ions, and a zwitterionic monomer-hectorite compound is prepared; adding the zwitterionic monomer-hectorite compound, a main monomer, a cross-linking agent, an initiator and a catalyst into water, fully stirring to obtain a precursor solution, and cross-linking and curing to obtain double-cross-linked hectorite composite hydrogel; the preparation method comprises the following steps: preparing a functional polymer deionized water solution, adding inorganic copper salt, carrying out ultrasonic dispersion, adding EGCG, carrying out a reaction, carrying out centrifugal separation on a final product, washing, and carrying out freeze drying to prepare an EGCG-Cu nano complex; and immersing the bi-crosslinked hectorite composite hydrogel into a deionized water solution of an EGCG-Cu nano complex to fully swell the hydrogel layer, taking out the hydrogel layer, and carrying out vacuum drying to obtain the EGCG-Cu nano hydrogel. The hydrogel material provided by the invention can realize the wound dressing with antibacterial and antioxidant properties at the same time.