1972results about How to "Guaranteed comfort" patented technology

The invention provides an intelligent operation and maintenance method and system for an air conditioning system based on the Internet of Things technology, and the method comprises the steps: processing operation data through employing an intelligent sensor and an edge calculation node, and generating a comprehensive operation information packet through combining with environment parameters; next, simulation analysis is carried out through a cloud digital twin model, performance prediction and fault point evaluation are generated, the fault probability is evaluated by using a Bayesian network algorithm, and personalized operation and maintenance suggestions are generated; secondly, optimizing operation parameters by adopting a genetic algorithm, and smoothly adjusting the setting through a self-adaptive control theory; and when an abnormality is detected, the fault severity is judged by using a multi-level threshold value and fuzzy logic, an early warning mechanism is triggered in time, and an emergency response scheme is pushed. And finally, recording a maintenance process and user feedback, updating the digital twin model, forming a closed-loop operation and maintenance system, and ensuring efficient and stable operation and service quality improvement.

The invention discloses a control method and device of a building cold and heat source system self-adaptive to load requirements. The control method comprises the following steps: acquiring historical operation data, physical characteristics and equipment system data of a building, and establishing a building load prediction model; generating the hourly load curve, and predicting the cooling or heating demand of each time period in the future according to the curve; dynamically adjusting the refrigerating or heating load demand, and generating a corresponding cooling or heating curve; and constructing a machine learning algorithm based on an equipment mechanism model, optimizing a control strategy of the cold and heat source system based on the historical operation data of the equipment, and outputting control parameters of the equipment. According to the technical scheme, the load of the building cold and heat source system is intelligently predicted and adjusted, the energy efficiency of the system is improved, invalid energy consumption is reduced, energy utilization is optimized, control parameter optimization is achieved through a machine learning algorithm, efficient operation is ensured, indoor comfort is kept, and the purpose of saving energy is achieved.

The invention discloses an air conditioner energy-saving control method and system based on multi-objective optimization, a medium and a product, and relates to the field of data processing. The method comprises the steps that optimization targets for conducting energy-saving control on the air conditioner and corresponding constraint conditions are determined, and the optimization targets comprise target air conditioner energy consumption and target comfort degree; acquiring current environment data of the air conditioner; the equipment operation parameter combination of the air conditioner is used as particles in the multi-target particle swarm algorithm; determining an optimal solution through a multi-target particle swarm algorithm; the air conditioner is controlled according to the parameter combination corresponding to the optimal solution; the actual air conditioner energy consumption and the actual comfort degree are obtained; based on the target air conditioner energy consumption, the target comfort level, the actual air conditioner energy consumption and the actual comfort level, the equipment operation parameters of the air conditioner are adjusted through a PID control algorithm, and final equipment operation parameters are obtained; and controlling the air conditioner to work according to the final equipment operation parameters. According to the method, both the energy-saving effect and the comfort level of the air conditioner are balanced.

The invention provides a lithium battery hybrid power motorcycle performance improvement control strategy generation method, which comprises the steps that vehicle driving states comprise a sliding state and a braking state, if the current vehicle is in the sliding state, a preset sliding energy recovery mode is activated, and if the current vehicle is in the braking state, a preset braking energy recovery mode is activated; different energy recovery strategies are combined and optimized according to the subdivision result of the energy recovery strategies in the sliding state and the braking state, and the vehicle speed, the battery charging state and the energy recovery potential value parameters are input to obtain a target energy recovery strategy combination scheme; the intention of acceleration, deceleration or constant speed of a driver is judged according to the operation characteristics of an accelerator and a brake, the operation characteristics refer to the force of stepping on an accelerator pedal and a brake pedal, and the driver intention obtained through judgment serves as the basis for dynamic adjustment of the energy recovery strategy.

The invention discloses an efficient flight control system of a low-altitude manned unmanned aerial vehicle based on tilting composite wings, and relates to the technical field of unmanned aerial vehicle control systems. The low-altitude manned unmanned aerial vehicle efficient flight control system based on the tilting composite wings comprises an initialization and pre-check module, a vertical take-off and landing control module, a transition flight control module, an obstacle avoidance and path planning module and a landing control module. Through integration of vertical take-off and landing, smooth transition to cruise, intelligent obstacle avoidance, path planning and other modules, autonomous and efficient flight in a complex environment is realized, and the application scene of the unmanned aerial vehicle is greatly widened. Meanwhile, the accurate flight control and data post-processing analysis capability not only guarantees the safety and comfort of passengers, but also promotes the continuous optimization of the system performance through the real-time performance evaluation and feedback mechanism. In addition, the aerial refueling / charging technology is supported, the cruising ability is prolonged, and the task execution continuity and flexibility are enhanced.

The invention discloses an air conditioning system and a control method thereof. The air conditioning system comprises an air conditioning outdoor unit; the air conditioning outdoor unit comprises a compressor, an outdoor heat exchanger and an outdoor fan; the outdoor fan is at least provided with a first working mode and a second working mode; and when the outdoor fan runs in the first working mode, a wind gear is higher than that when the outdoor fan runs in the second working mode. The control method comprises the following steps that S1, the air conditioning system is controlled to enter arefrigeration mode; S2, according to the outdoor environment temperature and / or preset hours, the outdoor fan is controlled to enter the first working mode or the second working mode. According to the control method of the air conditioning system, the air conditioning system can control the outdoor fan to enter the first working mode or the second working mode according to the outdoor environmenttemperature and / or the preset hours, and when the outdoor fan runs in the second working mode, the wind gear of the outdoor fan is lowered, so that the use reliability the air conditioning system cannot be affected, and the requirement of a user on comfortableness can be met.

The invention discloses an intelligent door and window control method and system based on indoor environment analysis, and relates to the technical field of door and window control, in the operation process of the system, temperature, humidity, illumination conditions and noise conditions are collected in real time through sensors, preference settings and operation historical records of a user are collected through voice recognition and gesture recognition, and the user experience is improved. Technical parameters provided by door and window manufacturers are used as a first data set, a second data set and a third data set to carry out preprocessing, analysis and extraction, preference setting and habits of users are recognized, an intelligent door and window control index Znkz is obtained through calculation, and the intelligent door and window control index Znkz is obtained according to indoor environment parameters and user preference information. The intelligent door and window control index Znkz is compared with a preset standard threshold value M and a preset standard threshold value N, the current environment state and user requirements are evaluated, a door and window control strategy is made, the opening and closing states of doors and windows are controlled according to instructions of the decision logic module, and a user interface used for interaction is provided.

The invention discloses an air conditioner fresh air handling unit energy-saving optimization control method and system based on fuzzy control, and belongs to the technical field of air conditioner system control, and the method specifically comprises the steps that environmental parameters and unit state information are collected in real time through sensors arranged indoors and outdoors, and then the information is subjected to fuzzy processing and converted into fuzzy variables; establishing a fuzzy control rule base by combining actual data according to the characteristics and energy-saving requirements of the air conditioning system; a fuzzy reasoning method is utilized, a fuzzy control quantity is obtained through calculation according to the fuzzy variable and the rule base and then converted into an accurate control value through clearness processing, and the fresh air handling unit is controlled to operate; and the system monitors the environment change and the unit state, and the steps are periodically repeated to form closed-loop feedback control, so that energy-saving optimization is realized.

The invention discloses a comprehensive management system for an intelligent digital campus, and relates to the technical field of digitization, and the system comprises the steps: collecting the learning behavior data of students in real time, and forming a preliminary data set of the students; the learning behaviors of the students in the preliminary data set are analyzed, and a personalized learning portrait of each student is generated; based on the personalized learning portrait, determining a learning demand and a resource demand feature of the student; pushing a personalized learning path and dynamically adjusting a teaching resource allocation scheme according to the learning demand characteristics and the resource demand characteristics of the students; and collecting energy consumption data of each region, and automatically optimizing an energy consumption use strategy in combination with a resource allocation result and the energy consumption data of each region to obtain an optimized learning environment. According to the resource scheduling strategy based on personalized demands, the learning efficiency of students can be improved, and full utilization of resources can be ensured.

The invention provides a commercial building air conditioner load intelligent scheduling control method and system, and relates to the technical field of data mining analysis, and the method comprises the steps: collecting corresponding sensing load time sequence data based on sensor modules disposed in each building region space in a commercial building; building a building sensing graph structure based on the sensing load time sequence data; processing the building sensing graph structure based on a time sequence graph attention network so as to update node features of the graph nodes; processing node features of each updated graph node based on an air conditioner parameter optimization model so as to correspondingly determine a target air conditioner operation parameter group of each building area space in a future preset time period; the air conditioner parameter optimization model adopts a reinforcement learning model. Therefore, through combination of the time sequence diagram attention network and the reinforcement learning model, intelligent scheduling of the building air conditioner load is realized, and the energy efficiency management level and the air conditioner comfort experience of a commercial building are remarkably improved.

The invention relates to the technical field of air conditioner control, in particular to a self-adaptive energy-saving control method and system for an air conditioning unit, and the method comprises the following steps: monitoring indoor and outdoor environment temperature, humidity and illumination intensity in real time; identifying user behavior modes including rest, motion and leaving states; monitoring the operation states of the air conditioning unit in real time, wherein the operation states comprise compressor operation frequency, fan rotation speed and refrigerant pressure parameters; predicting an environment change trend and a user use demand in a period of time in the future; applying a multi-objective optimization method to generate an optimal control strategy comprehensively considering the energy-saving effect, the user comfort and the equipment stability; and according to the optimal control strategy, the operation parameters of the air conditioning unit are adjusted in real time, the environment change trend and the user use requirements in a period of time in the future can be accurately predicted, intelligent monitoring and prediction are achieved, and the energy-saving effect of the air conditioner is improved.

The invention provides a vehicle speed adjusting method fusing road surface evenness and wheel data and related equipment, and relates to the field of intelligent control. The method comprises the following steps: acquiring a pavement image and point cloud data through monitoring equipment, determining pavement concave-convex height information and state parameters by combining the pavement image and the point cloud data, and inputting the pavement concave-convex height information and the state parameters into a pre-trained flatness evaluation model to obtain a pavement flatness grade. And when the road surface is in the uneven range, acquiring wheel data of the target vehicle, and inputting the road surface flatness grade and the wheel data into the jolting influence evaluation model to obtain jolting data. The vehicle bumping influence level is determined by combining vehicle-mounted sensor data, and then the standard vehicle speed value is determined, so that the current vehicle speed of the target vehicle is controlled, the vehicle speed is accurately adjusted according to the road surface and vehicle conditions, and the driving safety and comfort are improved.

The invention discloses an automobile stability coordination control method based on reinforcement learning, and belongs to the technical field of electric automobile control, the method comprises the following steps: using a linear two-degree-of-freedom model to obtain an expected yaw velocity and an expected side slip angle; additional yawing moment and a steering angle of a driving rear wheel are obtained through sliding mode control; acquiring the state type of the current vehicle; constructing an intelligent agent and a reward function of reinforcement learning, and continuously training the intelligent agent until the optimal cooperative control coefficients of the additional yaw moment and the steering angle of the active rear wheel are output, so as to realize the cooperative control of the electric vehicle; the reward function includes a steady state reward, a yaw velocity error and side slip angle error reward, a critical steady state reward, and an anti-jitter reward. According to the invention, the steering and yawing moment of the driving rear wheel can be coordinated and controlled, so that the stability and safety of the vehicle are ensured.

The invention relates to a preparation method of a universal super-hydrophobic fluoride-free waterproof agent with strong washability. According to the method, a polymeric monomer and a polymerizable silane coupling agent are subjected to free radical copolymerization or polycondensation to obtain an emulsion A, and a silanol-based compound formed by hydrolysis of the silane coupling agent interacts with the surface of a fiber base material to enhance the adhesive force of microspheres on the fiber surface; meanwhile, organic silicon in the emulsion B is cured on the surfaces of the polymer microspheres and the fibers to form a film, so that the firmness of the fabric is further enhanced, and the washability of the fabric is remarkably improved while an excellent hydrophobic effect is ensured. According to the invention, simplification and batch production of the production process are effectively realized, and meanwhile, the requirements of modern industry on economic and green production are met.

The invention provides a real-time energy-saving control method and device for a central air conditioner and a readable storage medium. The method comprises the steps that real-time position information of personnel in an area where the central air conditioner acts is obtained; according to the real-time position information of the personnel, the number of the personnel in each sub-area in the area where the central air conditioner acts is determined, and each sub-area correspondingly has at least one central air conditioner air outlet; central air conditioner control parameters of the corresponding sub-areas are determined according to the number of people in each sub-area; and the movement information of the personnel is obtained in real time, and the central air conditioner control parameters of all the sub-areas are adjusted in real time based on the movement information of the personnel. An intelligent air conditioner control strategy is adopted, the air speed of the air conditioner is intelligently adjusted according to the position of the person and motion prediction, the dynamic control method can optimize energy consumption, and meanwhile the comfort degree of the environment is kept.

The invention provides a photoelectric sensing smart home linkage control method and system, and relates to the technical field of data processing, and the method comprises the steps: receiving first electric data and second electric data which represent the illumination intensity of a first data point and the illumination intensity of a second data point respectively; calculating a cross data value of the illumination intensity of the first data point and the second data point; comparing the cross data value with a preset illumination demand threshold value to judge the overall illumination demand of the current home environment; generating a corresponding adjustment instruction based on the overall illumination demand of the current home environment; sending the adjusting instruction to an actuator connected with the household equipment, wherein the actuator comprises an intelligent bulb and an intelligent curtain motor; and after receiving the adjusting instruction, the actuator automatically executes corresponding operations, including turning on light, turning off light or adjusting a curtain, so as to realize automatic adjustment of the household equipment. According to the invention, the intelligent level of home illumination adjustment is improved.

The invention discloses a respiratory training auxiliary device for critical medicine patients, and relates to the technical field of medical assistance, the respiratory training auxiliary device comprises a device shell and a supporting plate, an air pump is fixedly mounted on the upper surface of the device shell, an operation table is fixedly mounted on the inner side surface of the device shell, and an auxiliary mechanism is arranged between the air pump and the operation table; a device shell is fixedly installed on the upper surface of the supporting plate, a groove is formed in the left side of the device shell, a fixing support is fixedly installed on the inner side face of the device shell, and a breathing mechanism is arranged between the device shell and the fixing support. According to the breathing training auxiliary device for the critical medicine patient, oxygen is transmitted into two sets of closed boxes through a connecting pipe, a first spring and a second spring repeatedly press an air bag to do telescopic motion, breathing of the patient is conveniently adjusted, the air bag is limited through a limiting disc, the air bag is prevented from jumping too fast, and the device shell is fixedly supported through a supporting plate; the pulley block pushes the device shell to move, so that the strength of nursing personnel is saved.

The invention relates to the technical field of centralized cooling energy-saving control, and particularly discloses an energy-saving control method and system for centralized cooling of a combined air cabinet, which are suitable for a central air-conditioning system of a large building group, firstly, an isochronous interval division method is utilized to collect outdoor temperature and humidity data, and time sequence characteristics are formed through a sliding window technology; an ARIMA model is trained, after model training is completed, the future outdoor environment is predicted, the indoor temperature set value, the air supply amount and the humidity control threshold value are dynamically adjusted accordingly, meanwhile, the system adopts a closed-loop control strategy to monitor indoor temperature changes in real time, the air amount is automatically adjusted by calculating the error between the current environment state and the target state, and the indoor temperature is monitored in real time. And in order to prevent overload or underload of equipment, the system is further provided with an air volume adjustment mapping and amplitude limiting processing mechanism, and in conclusion, the purposes of energy conservation and emission reduction are achieved, and the living quality of residents is further improved.

The invention relates to the technical field of oxygen cabins, in particular to a hyperbaric oxygen cabin with a replaceable inner container, which comprises a cabin body, sealing rings are respectively embedded at the left end and the right end of the cabin body, a solid pull rope is respectively arranged in each sealing ring in a penetrating manner, one end of each pull rope is respectively connected with a hook, the left end surface in the cabin body is connected with a round pipe, and the round pipe can be used for the pull rope to penetrate through. An air inlet pipe and an oxygen inlet pipe are respectively connected to the circular pipe; a lying cushion is arranged at the bottom in the cabin body, an inner container which can be taken out is arranged on the lying cushion in the cabin body, the inner container is composed of a cylinder made of soft fabric and a hard circular ring, the right end of the inner container is arranged in a sealed mode, hanging rings are arranged on the inner side and the outer side of the right end face of the inner container respectively, an elastic ring is arranged at the left end of the inner container, and the elastic ring can be clamped on the circular pipe; an opening is formed in the inner container. The high-pressure oxygen chamber has the advantages of replaceable inner container, good sealing performance, simplicity and convenience in operation, high adaptability, convenience in maintenance and the like, and the use safety and the treatment effect of the high-pressure oxygen chamber can be remarkably improved.

The invention discloses a vehicle control method for in-vehicle umbrella dripping recognition and fixed-point drying, and the method comprises the steps: judging whether a dripping umbrella enters a vehicle or not through combined sensing data, and obtaining the position of the dripping umbrella; and the drying module is controlled to dry the positions of the dripping umbrellas. According to the method, identification and positioning of the dripping umbrellas entering the vehicle are achieved, targeted drying is conducted on the dripping umbrellas, moisture in the vehicle can be reduced, peculiar smells and mildewing are avoided, and it is guaranteed that the cabin environment is dry and clean.

The invention relates to the technical field of intelligent construction, in particular to an ultra-low energy consumption building structure based on light materials and an intelligent construction method.The ultra-low energy consumption building structure based on the light materials comprises an outer wall and a window, the outer wall is composed of a structural layer, a heat insulation layer, a waterproof layer, a heat preservation layer, a decoration layer and a plate buckle structure and used for heat preservation, heat insulation and control of indoor and outdoor heat exchange, and the window is composed of a window frame, glass and sealing strips. The fresh air heat recovery system is used for optimizing a heat transfer path, reducing heating, refrigeration and ventilation energy consumption of a building, preventing moisture from invading a room and avoiding wall mildew and structural damage, and the fresh air heat recovery system is composed of a heat exchange system, a power system, a filtering system, a box body and a control system and is used for ventilation, air exchange, air purification and indoor environment adjustment, so that the energy consumption of an air conditioning system is reduced, and the energy consumption of the air conditioning system is reduced. The energy-saving technology of light materials is adopted, energy consumption and carbon emission are reduced, the intelligent construction scheme is adopted, the construction period is shortened, and the construction cost is reduced.

The shoulder joint bolster comprises a bridle and a bolster body, the bridle comprises a length-adjustable first connecting band, a length-adjustable second connecting band, a length-adjustable shoulder and neck bridle and a length-adjustable armpit bridle, one end of the first connecting band is fixedly connected with one end of the shoulder and neck bridle and one end of the armpit bridle, and the other end of the first connecting band is fixedly connected with the other end of the second connecting band. One end of the second connecting band is fixedly connected with the other end of the shoulder and neck binding band and the other end of the oxter binding band, the other end of the first connecting band penetrates through the anti-skid lock catch to be connected with the plug, and one side of the throw pillow is fixedly connected with a socket matched with the plug. According to the utility model, the armpit bridles are arranged, and the armpit bridles provide downward force for the shoulder and neck bridles, so that the shoulder and neck bridles are limited to move, limit and restrain the shoulder and neck bridles, the shoulder and neck bridles are far away from the neck, and the neck skin is prevented from being damaged by friction; the length of the armpit bridles can be adjusted, the shoulder and neck bridles can adapt to people of different physiques, the moving range of the shoulder and neck bridles can be adjusted, and neck skin is prevented from being rubbed and damaged under the condition that the patient feels comfortable in use.

The utility model provides a bridge abutment back roadbed structure which comprises a first graded broken stone hardcore, a first earthwork standard room, a first bidirectional geogrid, a foam light soil layer group, a second bidirectional geogrid, a second graded broken stone hardcore, a second earthwork standard room and a concrete layer group, the first graded broken stone hardcore, the first two-way geogrid, the foam light soil layer group, the second two-way geogrid, the second graded broken stone hardcore and the concrete layer group are sequentially arranged from bottom to top, the first geocell is arranged in the first graded broken stone hardcore, and the second geocell is arranged in the second graded broken stone hardcore. And the second geocell is arranged in the second graded broken stone hardcore. According to the abutment back roadbed structure, the settlement characteristic of the roadbed is improved, the overall stability and the bearing capacity of the roadbed are improved, and the dead weight of the roadbed can be effectively reduced, so that post-construction settlement at the bridge joint is reduced, the stability and the bearing capacity of the roadbed are improved, and the safety and the comfort of driving are ensured.

The invention discloses a pressure self-adaptive adjustment and control system for a silica gel catheter, and relates to the field of self-adaptive adjusting.The pressure self-adaptive adjustment and control system comprises a pressure sensing module, a data statistics module, a data processing module, a pressure prediction module and an intelligent control module. The reflux prevention pressure and the excessive prevention pressure of the silica gel catheter are accurately adjusted; the historical pressure comprehensive performance value and the real-time pressure comprehensive performance value are combined, so that the prediction accuracy is improved; the reliability of sensing data is ensured by monitoring whether the data transmission of each module is abnormal or not, when the data transmission is abnormal, a problem module can be quickly positioned, the troubleshooting and repairing speed can be accelerated, and meanwhile, the use safety of the silica gel catheter is improved.

A flywheel front cover and a flywheel rear cover are buckled to form a vacuum spherical shell, front-end electromagnetic poles are evenly distributed on the inner side of the flywheel front cover, rear-end electromagnetic poles are evenly distributed on the inner side of the flywheel rear cover, permanent magnet magnetic poles are evenly distributed on an outer hub of a flywheel, and permanent magnet magnetic poles are evenly distributed on an inner hub of the flywheel rear cover. When a ship jolts and shakes due to the influence of storm waves or ocean currents, the flywheel rotates at a high speed in the vacuum spherical shell in the left-right direction of the flywheel shaft, large rotational inertia is generated when the flywheel rotates at the high speed, and through energy transmission of the right side supporting damping cylinder, the left side supporting damping cylinder, the right side supporting damping cylinder rod and the left side supporting damping cylinder rod, the flywheel can rotate at the high speed. The energy for driving the vacuum spherical shell to swing left and right and horizontally is consumed, so that the rolling amplitude and frequency of the ship are greatly reduced, the course stability is improved, and the rolling amplitude and frequency of the ship can be reduced.

The invention discloses a method of an elevator energy consumption optimization control system, which relates to the technical field of elevator energy consumption optimization, and comprises the following steps: in the elevator running process, acquiring elevator running information of a floor planned to stop in the running process in real time, and preprocessing the acquired elevator running data to obtain a pre-processed elevator running data; and a basis is provided for analyzing the use mode and the operation efficiency of the elevator. According to the invention, through intelligent division of near-distance stopping, middle-distance stopping and long-distance stopping, the elevator system realizes fine speed and acceleration adjustment aiming at different running distances, energy consumption and transportation efficiency are effectively balanced, and the power peak demand and electric power waste are reduced. The instantaneous current impact is reduced by short-distance stopping, and the mechanical wear is relieved; and the acceleration is optimized by long-distance parking, so that excessive consumption under high load is prevented, and the temperature rise of the equipment is avoided. On the whole, intelligent control reduces equipment aging and heat dissipation requirements, the service life of the elevator is remarkably prolonged, and the long-term maintenance cost is reduced.

The invention provides a performance-adaptive anti-overturning vibration double-control support. The support comprises an upper convex outer cylinder and a lower convex outer cylinder, the limiting guide body is vertically arranged between the bottoms of the two outer barrels, the limiting guide body is sequentially sleeved with a first-order spring, a limiting partition plate, a second-order spring and a lower limiting base plate from top to bottom, and the upper end and the lower end of the first-order spring abut against the inner side of the bottom of the downwards-protruding outer barrel and the upper end face of the limiting partition plate respectively. The upper and lower ends of the second-order spring respectively abut against the lower end surface of the limiting clapboard and the upper end surface of the lower limiting base plate; the upper end of the limiting guide body is fixedly connected with the bottom of the downward-protruding outer cylinder, the lower end of the limiting guide body is fixedly connected with the damping tensile plate, the damping tensile plate is located between the bottom of the upward-protruding outer cylinder and the lower limiting base plate, and the space between the inner side of the bottom of the upward-protruding outer cylinder and the lower limiting base plate is filled with damping liquid; an upper limiting fixing piece and a lower limiting fixing piece are arranged on the inner side cylinder wall of the upwards-protruding outer cylinder and used for limiting or determining the upwards-moving limit position of the limiting partition plate and the downwards-moving limit position of the lower limiting base plate respectively.

The utility model discloses a self-powered friction structure and an insole. The self-powered friction structure comprises a negative electrode structure which comprises a first negative electrode material layer, a conductive fabric layer and a second negative electrode material layer which are connected in sequence, and the conductive fabric layer is located between the first negative electrode material layer and the second negative electrode material layer; the positive electrode structure comprises a positive electrode material layer and a base layer which are connected with each other; the plurality of elastic columns are uniformly distributed and are connected with the second negative electrode material layer and the positive electrode material layer to form a hollow structure; the first negative electrode material layer and the second negative electrode material layer adopt an electric polarity material different from that of the positive electrode material layer; the negative electrode structure, the elastic column and the positive electrode structure are integrally formed. According to the self-powered friction structure and the insole, the self-powered friction structure is integrally formed, has the advantages of being high in durability and stable in voltage output, can be conveniently cut at will, and meets the requirement for large-scale production.

The invention discloses a hydraulic active suspension system with a multi-mode switching function and a control method of the hydraulic active suspension system. The hydraulic active suspension system comprises a sensing module, a control module and a hydraulic suspension module. The sensing module is used for sensing road condition information and a vehicle state; the control module is used for working condition identification, working mode selection and hydraulic suspension module control; the hydraulic suspension module comprises a left front single-wheel suspension system, a left rear single-wheel suspension system, a right front single-wheel suspension system and a right rear single-wheel suspension system, the hydraulic suspension module achieves rapid switching of all the single-wheel suspension systems among a semi-active mode, a slow mode, a rapid mode, a pressurizing mode and a power generation mode through a mode switching valve, and mode switching of all the single-wheel suspension systems can be independently controlled. And the hydraulic suspension module has more flexible and diversified mode combinations. According to the technical scheme, the mode switching of the active suspension is controlled, the problem that an existing active suspension is single in mode and difficult to adapt to complex and changeable road conditions is solved, and the comprehensive performance of an active suspension system is improved.

The invention discloses a numerical analysis method for low-energy-consumption transformation of existing buildings in cold regions, and belongs to the technical field of low-energy-consumption transformation of buildings. The method solves the problem that the prior art lacks a unified technical standard and evaluation method, collects basic information and energy consumption data of an existing building in a cold region, establishes a building model by adopting Design Builder simulation software, simulates energy consumption of a heating and lighting system to which the model belongs, compares a simulation result with actual energy consumption data, and determines the energy consumption of the existing building in the cold region. The accuracy of a simulation result is analyzed; the energy consumption performance of the existing building is evaluated by comparing an actually measured energy consumption index with a simulation result, and a targeted optimization strategy is constructed according to the simulation result and comparative analysis; through the steps, numerical analysis is realized, and specific and quantifiable low-energy-consumption reconstruction suggestions can be provided for the existing buildings in the cold region, so that the energy efficiency of the buildings is improved, the energy consumption is reduced, and meanwhile, the comfort of the indoor environment is kept.