1013results about How to "Lower control costs" patented technology

The invention relates to the field of data visualization, in particular to a visualization method and system based on a vehicle service supply chain. The method comprises the following steps: acquiring whole-process information of a vehicle service supply chain; carrying out supply chain main body identification on the whole flow information of the vehicle service supply chain, carrying out spatial topology distribution analysis, and constructing a supply chain main body topology distribution map; obtaining supply chain main body interaction logic data based on the plurality of supply chain main bodies; performing topology interaction logic connection on the supply chain main body topology distribution graph by utilizing supply chain main body interaction logic data, and constructing a supply chain topology interaction network; performing intra-period path transportation frequency calculation on the whole-process information of the vehicle service supply chain to generate logistics demand trend characteristics; and performing operation behavior analysis of each link on the whole-process information of the vehicle service supply chain to obtain the capacity characteristics of each link. According to the invention, through visualizing the vehicle service supply chain, the resource scheduling efficiency and flexibility of the supply chain are improved.

The invention provides a sodium ferric pyrophosphate positive electrode material cooperatively doped with anions and cations, a preparation method of the sodium ferric pyrophosphate positive electrode material and a sodium ion battery, and relates to the field of sodium ion batteries. The anion and cation synergistically doped ferric sodium phosphate pyrophosphate positive electrode material comprises an inner core and a coating layer covering the outer surface of the inner core, the inner core comprises ferric sodium phosphate pyrophosphate, the coating layer comprises carbon, the chemical formula of the ferric sodium phosphate pyrophosphate is Na4-2yFe2.91-xQx (PO4) 2-yP2O7Fy, x is more than 0 and less than or equal to 0.3, and y is more than or equal to 0.03 and less than or equal to 0.08; q comprises at least one of Sn, Ni, Cu, Mg and Mn. The introduced Q positive ions and F negative ions can keep the crystal structure of the body material stable, and the positive ions and the negative ions have a synergistic effect, so that the band gap of the positive electrode material is reduced, the state density near the Fermi level of the positive electrode material is increased, the conductivity of the positive electrode material is enhanced, the specific capacity of the positive electrode material is improved, and the rate and the cycle performance are promoted.

The invention discloses a road user track and behavior prediction method in a dense heterogeneous traffic environment, and the method comprises the steps: carrying out the target detection and recognition of each road user in a video image sequence frame based on a deep convolutional neural network, and taking a recognition result as a road user type constraint; taking the detected and identified track coordinates and timestamp information of the road user as historical track information of the road user; according to the method, on one hand, a traffic map sequence of a target road user per second within a tf time period after a timestamp t is obtained through prediction, the traffic map sequence is subjected to spectral clustering and then serves as a map regularization constraint in a regularization loss function form to be used for correcting future trajectory coordinates of the road target user output by semi-supervised pipeline prediction; and on the other hand, entering a logistic regression function network after passing through a full-connection network, and outputting the behavior prediction type of the road user. According to the method, the track and behavior of the road user can be accurately predicted in a dense heterogeneous traffic environment.

The invention discloses a lithium battery state estimation method based on relaxation time scale modeling, and the method comprises the steps: 1, carrying out a sudden pulse charging test on a lithium battery, collecting voltage and current data, and calculating the open-circuit voltage, direct-current internal resistance and a time-domain impedance sequence of the lithium battery; and 2, converting the time domain impedance sequence of the lithium battery into a frequency domain impedance sequence after discrete Fourier transform, establishing a fitting equation set of a distribution function of the relaxation time scale DRT of the lithium battery and the frequency domain impedance sequence, and solving by adopting a regularized least square method. And 3, taking the solved DRT model distribution function as the input of a neural network, taking the state parameters of the lithium battery as the output of the neural network, and establishing a prediction model of the state parameters of the lithium battery. According to the method, EIS test required by traditional relaxation time scale modeling is avoided, the control complexity and design cost of test acquisition equipment are effectively reduced, and the method can be effectively applied to occasions such as battery life prediction, battery classification and screening, battery echelon utilization and the like.

The invention relates to a waste incineration flue gas pollutant control technology, and aims to provide a waste incineration flue gas multi-pollutant collaborative prediction and intelligent control method and system. On the basis of a deep learning method, a collaborative prediction model for four types of pollutants in waste incineration flue gas is constructed; then, a multi-objective optimization method is combined, and a cost index function considering the absorbent dosage and an environmental protection index function considering the pollutant emission are constructed; and the optimal usage data of the absorbents corresponding to the flue gas pollutants are solved by using a multi-objective optimization algorithm, and finally, the opening degrees of various absorbent feeding valves are adjusted and controlled according to the optimal usage data feedback, so that the intelligent control of the multiple pollutants in the waste incineration flue gas is realized. According to the invention, accurate collaborative prediction of multiple pollutants in waste incineration flue gas can be realized, and the hysteresis problem of traditional flue gas pollutant emission monitoring equipment is effectively overcome; the pollutant control cost of the flue gas purification system is reduced to the maximum extent, and the economical level of the incinerator is improved.

The invention relates to the technical field of detection kits, in particular to a detection kit for neutrophil gelatinase-associated lipocalin and a preparation method of the detection kit. The invention provides a detection kit for neutrophil gelatinase-associated lipocalin. The detection kit comprises an independently packaged reagent R1 and an independently packaged reagent R2, the reagent R1 comprises an HBR series specific blocking agent; the reagent R2 comprises carboxyl latex microspheres coupled with an NGAL antibody; the carboxyl content of the carboxyl latex microspheres is greater than 100 [mu] eq / g, and the particle size is 100-400 nm. According to the kit, an HBR series specific blocking agent is used as a component of the reagent R1, so that endogenous interference is reduced, and false positive and negative detection results of a sample are avoided. Furthermore, the latex with proper particle size is selected to be coupled with the polyclonal antibody, and the sealing condition is optimized, so that the method has the advantages of wide linearity, good analysis sensitivity, simplicity in operation, controllable batch difference and controllable cost.

The invention provides a preparation method and application of a high-efficiency encapsulated pH-responsive drug-loaded liposome. According to the method, two-phase fluid of a medicine aqueous solution and a lipid component organic solution in a micro-channel is accurately controlled, and the efficiently encapsulated liposome is prepared from bottom to top by utilizing a micro-mixing technology. Compared with a conventional passive drug loading method which is relatively low in encapsulation efficiency in preparation of hydrophilic drug nano-liposomes, the method provided by the invention can improve the encapsulation efficiency to be close to 95% under optimized prescription and process conditions. According to the invention, by adjusting the proportion of each component in the prescription and the preparation process, the release behavior of liposome drugs such as adriamycin and the like can be adjusted, and the drug release shows pH responsiveness. Through efficient encapsulation of adriamycin and the like and pH-responsive release of the liposome dosage form, the effects of efficacy enhancement and toxicity reduction are achieved in the anti-tumor treatment aspect.

The invention relates to a networked nonlinear system control method based on fuzzy adaptive event triggering. The method comprises the following steps: S1, carrying out equivalent T-S fuzzy modeling on a networked nonlinear system based on a T-S fuzzy theory; s2, constructing a fuzzy adaptive event triggering mechanism based on T-S fuzzy model structured characteristics and fuzzy membership function information; s3, based on the fuzzy adaptive event trigger mechanism and the sampling control strategy, constructing a T-S fuzzy networked closed-loop system based on the fuzzy adaptive event trigger mechanism under sampling input; s4, based on a Lyapunov stability theory, establishing a sufficiency condition of asymptotic stability of the T-S fuzzy networked closed-loop system based on a fuzzy adaptive event trigger mechanism; and S5, based on a linear matrix inequality theory, calculating a state feedback gain matrix of the T-S fuzzy networked closed-loop system, and realizing control of the networked nonlinear system based on the T-S fuzzy model. According to the method, unnecessary communication transmission is reduced and the control cost is saved while the stability of the system is ensured.

The invention belongs to the technical field of fiber modification, and particularly relates to a preparation method of degradable biomass high-water-absorption short fibers. According to the invention, cellulose short fibers such as plant fibers, regenerated cellulose fibers and the like are used as raw materials, and the degradable biomass short fibers with high water absorption performance are prepared through the technological processes of pre-humidification, cake making, hanging into a reaction tank, alkalization, etherification, neutralization, washing, oiling, wet feeding, wet splitting, drying, metering, packaging and the like. The water absorption rate of the obtained degradable biomass high-water-absorption short fiber is 60 to 100g / g, and the fineness of the degradable biomass high-water-absorption short fiber is 1.29 to 10.0 dtex. The fiber can meet the use requirements in the fields of hygienic personal care products, blood-absorbing cotton medical dressings, surgical pads, dirt treatment bags, water-blocking yarns and water-blocking tapes, agriculture, forestry, landscaping, desert greening, oil exploitation and the like, is an environment-friendly and renewable non-petrochemical functional material, is green and environment-friendly, and has a very wide application prospect.

The invention discloses an intelligent control system and method for a tea tender shoot picking robot, and the method comprises the steps: obtaining scene image information through a visual analysis module, and accurately recognizing a to-be-picked tea tender shoot region based on a preset neural network model; a task decomposition module is used for dividing a tea tender shoot area, each task in a large number of picking tasks is actually distributed to a corresponding mechanical arm, and a shortest safe working route of the mechanical arm is formulated; through the motion control module, it is ensured that the picking range of each mechanical arm of the robot can completely cover the area where the tea tender shoots suitable for being picked are located, and the missing picking rate of the tea tender shoots is effectively reduced. Multiple mechanical arms of the picking robot can be coordinated to pick tea tender shoots, mechanical picking has the advantages of being controllable in cost, accurate in collection and excellent in efficiency, data calculation and control of the whole system are completely conducted locally, smoothness and high efficiency of the system can be guaranteed, and popularization of the tea picking robot technology is facilitated.

The invention belongs to the technical field of cosmetics, and discloses a composition with tightening and anti-wrinkle effects as well as a preparation method and application thereof. The composition disclosed by the invention comprises the following components: a radix pseudostellariae extract and hydrolyzed ginsenoside. The radix pseudostellariae extract in the composition achieves the effects of tightening and resisting wrinkles by promoting generation of collagen and elastin, the hydrolyzed ginsenoside mainly has the effects of resisting oxidation, inhibiting expression of matrix metalloproteinase and preventing collagen degradation, and after the radix pseudostellariae extract and the hydrolyzed ginsenoside are combined, the composition has a better effect of inhibiting the activity of the matrix metalloproteinase, so that the effect of resisting wrinkles is achieved. The traditional Chinese medicine composition has the effects of promoting the generation of collagen and elastin, and has a synergistic effect, so that the traditional Chinese medicine composition has an excellent anti-aging effect.

The invention relates to the field of robots, and discloses a robot control method, device and equipment and a storage medium. Comprising the steps of building a simulation environment and a simulation control system of a robot, performing action splitting on an operation task to obtain an action set, collecting a joint action image and a joint action position of the robot in the action set execution process to generate a state space, training and strengthening based on the state space and a reward function to obtain an intelligent agent model, and performing simulation control on the intelligent agent model. And optimizing the intelligent agent model by utilizing a preset loss function, predicting a target action space of the robot by utilizing the intelligent agent model based on the current state space of the robot in the task environment, and controlling the robot to execute a corresponding action. According to the scheme, the intelligent agent model is trained in the simulation environment, the action of the robot at the next moment is predicted, control over the robot in the real environment is achieved, and the experiment cost problem of equipment abrasion and the like caused by the fact that the robot can only be continuously trained and tried and mistaken in the actual physical environment is solved.

The invention discloses a high-voltage power grid voltage quality compensation method based on a passive control strategy, and relates to the technical field of power grid voltage control, and the method comprises the steps: reading the data of an energy recovery type passive control system, and constructing a digital twinborn model; performing control fitting evaluation based on a twinborn model, distributing monitoring sensors and establishing mapping in the model; establishing time sequence monitoring data through a monitoring sensor, synchronizing the time sequence monitoring data to a short-term power grid state prediction network in the twin model, and establishing a prediction data set; analyzing the automatic compensation strategy, performing regulation analysis on the dynamic voltage regulator, and establishing a regulation data set; acquiring energy storage data, and establishing a compensation objective function; and inputting the prediction data set, the adjustment data set, the time sequence monitoring data and the energy storage data into the compensation objective function, executing control optimization, and performing power grid voltage quality compensation. Therefore, the technical effects of simple control, control cost reduction and compensation response efficiency improvement are achieved.

The invention provides an underwater remote control submersible and a spatial positioning method thereof, and the spatial positioning method comprises the steps: collecting the real-time attitude data of an ROV and the distance data between the ROV and the surrounding space through employing a sonar matrix and an inertial measurement unit IMU which are disposed on the ROV, and calculating the sonar data of the relative position between the ROV and the surrounding space; and estimating the position and attitude state of the ROV based on the sonar data and the attitude data through an unscented Kalman filter (UKF) algorithm and a data fusion algorithm applied to unscented transformation of the sonar data and the attitude data. According to the method, required equipment is conventional and simple, the equipment cost is controllable, the method can flexibly adapt to the change of the underwater position of the ROV, meanwhile, a data fusion algorithm is carried out based on the application of the UKF and unscented transformation thereof, the calculation cost is controllable, the UKF does not need to linearize a nonlinear function through the unscented transformation, and the calculation cost is controllable. The problem of nonlinearity of data collected by the ROV in an underwater positioning scene can be effectively solved, and the position and attitude state of the ROV can be accurately estimated.

The invention discloses an intelligent fiber-reinforced thermoplastic resin rib material and a preparation method thereof. The intelligent fiber reinforced thermoplastic resin rib material comprises a monitoring optical fiber, a continuous fiber woven sleeve and a continuous fiber reinforced thermoplastic resin prepreg winding layer, wherein the continuous fiber woven sleeve and the continuous fiber reinforced thermoplastic resin prepreg winding layer are sequentially arranged from inside to outside in the radial direction of the monitoring optical fiber. The fiber woven sleeve and the continuous fiber reinforced thermoplastic resin prepreg winding layer are bonded into a whole through a thermoplastic film sleeve wrapping the continuous fiber woven sleeve when the intelligent fiber reinforced thermoplastic resin rib material is subjected to hot melting; the monitoring optical fiber is wrapped by the continuous fiber braided sleeve, so that the melt of the thermoplastic film sleeve flowing into the continuous fiber braided sleeve is reduced, and the melt flowing into the continuous fiber braided sleeve is absorbed. According to the intelligent fiber-reinforced thermoplastic resin rib material, secondary processing does not need to be carried out on the surface or the interior of the rib material, and the body mechanical property of the rib material cannot be damaged. The preparation process is simple, the cost is controllable, and the survival rate of the optical fiber is high.

The invention discloses an H-infinity intermittent sampling load frequency safety control method for a multi-region power system under spoofing attack, and belongs to the technical field of power system safety control. According to the method, the intermittent control signal is only used in the working interval, the control cost is effectively saved, the limited network bandwidth can be saved through sampling control, and the influence of spoofing attacks on the multi-area power system is effectively resisted through safety control. Firstly, according to the characteristics of intermittent control and sampling control, the influence of spoofing attack is considered at the same time, and a multi-region power system intermittent sampling load frequency safety control dynamic model under the spoofing attack is established. Secondly, a switching Lyapunov functional is provided, meanwhile, under the framework of an LMI, sufficient conditions for existence of an intermittent sampling load frequency safety controller are given, and the conditions guarantee that the index of a multi-area power system is stable and meet the H infinity performance; and finally, verifying the effectiveness of the H-infinity intermittent sampling load frequency safety controller through three-region power system simulation under spoofing attack.

The invention discloses a plant protection unmanned aerial vehicle cluster self-learning optimization formation control method, belongs to the technical field of self-learning optimization formation control methods, and improves the performance and adaptability of an unmanned aerial vehicle system. According to the patent technology, maximization of system performance can be achieved through ETCRF based on RL, the plant protection unmanned aerial vehicle can learn an optimal control strategy through interaction with the environment so as to reduce control cost and improve system efficiency, the system has higher adaptability, self-adaptive adjustment can be conducted according to environment changes and system requirements, and the system can be widely applied to the field of plant protection. Therefore, the plant protection unmanned aerial vehicle group system can better deal with dynamic environment and uncertain factors, so that the stability and robustness of the system are improved.

The invention discloses a lithium battery organic-inorganic composite flame-retardant diaphragm which comprises a base material diaphragm and a flame-retardant layer on the outer side of the base material diaphragm, the base material diaphragm is a polyolefin diaphragm, and the flame-retardant layer is prepared from benzoxazine resin particles, natural clay mineral nanotubes and auxiliaries; the mass ratio of the benzoxazine resin particles to the natural clay mineral nanotubes is (40%-95%): (5%-60%). According to the present invention, the design is novel, the thermal stability and the flame retardant property of the polyolefin diaphragm in the lithium battery are effectively improved, the affinity of the polyolefin diaphragm to the electrolyte is improved, and the safety of the battery monomer is substantially improved.

The invention discloses a multi-parameter distortion compensation method for a fractured rock mass seepage similar model test, and relates to the technical field of rock mass engineering physical model tests. The method comprises the following steps of: firstly, determining two constraint conditions that the fluid property is invariable and the gravitational acceleration is invariable, correspondingly selecting a basic physical quantity and extracting a core criterion; then analyzing three types of distortion sources of geometric dimensions, dielectric materials and boundary conditions, and establishing a distortion function according to result parameters of seepage flow velocity, seepage flow and seepage pressure; secondly, parameters difficult to control are selected as distortion items, parameters easy to regulate and control are selected as compensation items, the distortion items are substituted into a distortion function to obtain a distortion ratio, the optimal distortion ratio of the compensation items is solved based on a compensation balance formula, and the parameters are adjusted; and finally verifying the interval range of the actually measured distortion ratio. According to the method, the multi-source distortion coupling influence is accurately quantified, the compensation pertinence and precision are improved, operation is easy and convenient, universality is high, and reliable support is provided for underground engineering seepage research.

The invention provides a wear-resistant super-hydrophobic coating and a preparation method thereof. The preparation method comprises the following steps: (1) preparing a porous structure coating which comprises a dispersion liquid of a micron-scale filler, resin and an auxiliary agent; (2) spraying the porous structure coating prepared in the step (1) on the surface of a base material by using a spraying technology to construct a stone-like paint or honeycomb-like firm porous network structure framework; (3) preparing a hydrophobic modified nanoparticle dispersion liquid; and (4) a hydrophobic modified nanoparticle dispersion liquid is sprayed on the porous network structure framework by using a spraying technology, the nanoparticles are embedded into the porous network structure framework, and the water contact angle of the composite coating is 158 degrees. The composite coating has high mechanical strength and excellent super-hydrophobic performance, and is endowed with wide application prospects.

The invention relates to the technical field of order management, in particular to an intelligent material order management method and system, and the method comprises the following steps: based on collected order data, analyzing the feature expression of the order data through an auto-encoder, comparing the feature data with newly input order data, and calculating a difference value; and marking the order with the difference value exceeding a threshold value to generate an abnormal order identifier. According to the invention, the self-encoder is used to deeply analyze order data, automatically identify orders having significant differences with normal data, and carry out abnormal marking in real time, so that execution errors are effectively prevented and fraud risks are reduced, and the application of the long and short term memory network further enhances the prediction capability of abnormal order behaviors. Through the analysis of the time sequence data, the potential order execution problem can be tracked and predicted, the constructed dynamic relation graph between the materials and the orders provides a global view for the material flow and inventory management, and the optimization of the material use and the cost control are promoted.

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 relates to a vehicle-mounted high-pressure liquid ammonia supply and liquid return control system and an engine, the vehicle-mounted high-pressure liquid ammonia supply and liquid return control system comprises a liquid ammonia tank, a liquid ammonia pump is mounted at a liquid outlet of the liquid ammonia tank, the output end of the liquid ammonia pump is communicated with a high-pressure plunger pump through a liquid inlet pipeline, the first output end of the high-pressure plunger pump is communicated with a high-pressure liquid ammonia rail, and the second output end of the high-pressure plunger pump is communicated with a low-pressure liquid ammonia rail; the output end II of the high-pressure plunger pump is communicated with a liquid return pipeline; the liquid return pipeline is communicated with a liquid return opening of the liquid ammonia tank; the first-stage liquid inlet heat exchanger is mounted on the liquid inlet pipeline; the liquid return heat exchanger is mounted on the liquid return pipeline; and the vehicle-mounted water cooling machine is thermally coupled with the primary liquid inlet heat exchanger and the liquid return heat exchanger. In-cylinder direct injection is adopted, the combustion process is optimized, and the combustion efficiency is improved. Heat exchange temperature control is carried out during liquid feeding, it is guaranteed that ammonia supply is in a liquid state, the temperature of liquid ammonia is prevented from rising to form a gas-liquid mixed phase during liquid returning, and a stable and reliable liquid ammonia supply and liquid returning system is provided for an engine.

The invention discloses continuous stamping production equipment for a negative electrode metal gland of a button cell, and relates to the field of button cell processing. The equipment comprises a base and a rack mounted at the top of the base, a punch forming mechanism is arranged at the bottom in the rack, and a blank feeding mechanism is arranged in the rack. According to the equipment, the punch forming mechanism is arranged, in the first stage, after an upper shearing die and a lower shearing die are used for shearing a workpiece, upward-warping burrs are formed on an outer edge opening of the workpiece, in the second stage, the middle of the outer edge of the workpiece is bent upwards through a first shaping die and a first lower shaping die, and at the moment, the burrs face inwards; in the third stage, the outer edge opening is finally formed and trimmed through the second lower trimming die of the shaping base, meanwhile, the upward sunken degree of the middle of the workpiece is gradually increased through the three stages, and therefore the workpiece with the burrs turned inwards is machined, and an insulating layer can be prevented from being punctured during button cell assembling; therefore, the yield and the processing efficiency of the battery cathode cover are improved, and the production cost is reduced.

The invention discloses an electric vehicle auxiliary ridge crossing method and system, a storage medium and a vehicle. Whether a user selects an auxiliary ridge crossing function or not is judged through an information entertainment system; the vehicle control unit judges whether the vehicle running state, the power battery state, the driving motor system state, the gear state, the accelerator pedal state, the brake pedal state and the current vehicle speed state meet the auxiliary threshold crossing function requirement or not, and only needs to utilize an existing system to collect data and judge the data; related switching instructions and control instructions are sent to the driving motor controller and the information entertainment system according to the judgment result, extra related structures do not need to be added, the control cost is low, and the control effect is good. Through data interaction among the whole vehicle controller, the driving motor controller and the information entertainment system, auxiliary ridge crossing of the vehicle is achieved, the vehicle is switched from the torque mode to the rotating speed mode, the controlled object is changed from the motor torque to the motor rotating speed, the vehicle runs more stably, and the user experience feeling is better.

The present invention provides an adaptive RS232 and RS485 interface circuit, including a connector, a communication switching module, an identification module, an active control selection module, an RS232 interface communication module, an RS485 interface communication module, and a logic control circuit. The connector is arranged at a physical interface for accessing an external communication device, the identification module is used to identify the physical interface type of the external communication device, and control the communication switching module to switch the interface communication module according to the identification result, the communication switching module is respectively connected to the RS232 interface communication module and the RS485 interface communication module, and the channel is selected by an analog switch to complete the automatic switching of the RS232 or RS485 communication mode, and the logic control circuit is respectively connected to the RS232 interface communication module and the RS485 interface communication module using a logic and gate chip. The present invention can realize the automatic identification and automatic switching of RS232 and RS485 communications, and has the advantages of high automation, low technical risk, low cost, domestic controllability, flexible control, high reliability, etc.

The invention relates to the technical field of household appliance control, and discloses a control method of cleaning equipment, the cleaning equipment and a computer readable storage medium, the cleaning equipment comprises a rolling brush and a dirt scraping mechanism, and when the cleaning equipment is in a working mode, the dirt scraping mechanism is located at a dirt scraping position in contact fit with the rolling brush; when the cleaning equipment is in the self-cleaning mode, the dirt scraping mechanism is located at the avoiding position in clearance fit with the rolling brush; the control method comprises the steps of receiving a signal of starting a self-cleaning mode of the cleaning equipment; and after the dirt scraping mechanism is controlled to move to the avoiding position in clearance fit with the rolling brush, the rolling brush is controlled to rotate to clean the rolling brush cover. When the cleaning equipment performs self-cleaning, the dirt scraping mechanism is controlled to move to the avoiding position in clearance fit with the rolling brush, so that the dirt scraping mechanism is separated from the rolling brush, friction between the dirt scraping mechanism and the rolling brush is reduced, and the problem that the rotating rolling brush and the dirt scraping mechanism are still kept in contact in a self-cleaning mode, and abrasion of bristles of the rolling brush is aggravated is solved.

The invention relates to an intelligent peak regulation method for a secondary water supply pump room. The method comprises the following steps: sampling water consumption in a set time period at a set time interval to obtain water consumption data; based on the water consumption data, constructing a water consumption regression model including water consumption trend estimation, seasonal component estimation and holiday effect estimation; the water consumption regression model is used for recognizing the water consumption peak, and then a secondary water supply and storage device is controlled to conduct water storage operation. The water supply peak can be effectively adjusted, and the water supply pressure of the waterworks is relieved.

The invention discloses a pelletized pod pepper seed coating. The coating comprises the following components: perlite, vermiculite, bentonite, turf and silica gel powder. The preparation method of the pelletized pod pepper seed coating comprises the following steps: seed selection, uniform mixing of a filling agent, inner-layer coating, outer-layer coating, addition of a biological agent, drying and storage. A processing method of inner and outer layers is adopted, so that uniform wrapping can be realized under the condition that an adhesive is not used, the air permeability and water permeability of the coating are ensured, and the coating can be in full contact with soil to breed and enhance the microbial activity by adopting an outer-wrapping microbial agent adding mode; the defects that existing pelletized seeds are prone to being bonded when encountering water, low in germination rate, poor in germination potential and the like are overcome, the adverse effect of use of a binder on the soil environment is overcome, and the technical problems that in the prior art, under adverse conditions, pod pepper pelletized seeds are difficult to germinate and emerge, and the seedling quality is not high are solved.

The invention discloses a spring operating mechanism for a medium-voltage sulfur hexafluoride circuit breaker, and belongs to the technical field of circuit breakers, and the spring operating mechanism comprises a frame, an energy storage assembly, a main shaft assembly, a closing assembly, an energy storage indication assembly, a manual opening and closing assembly, an emergency opening assembly, a closing locking assembly and an interlocking assembly. According to the spring operating mechanism, closing and opening operation of the contact of the medium-voltage sulfur hexafluoride circuit breaker is achieved through rotation of the mechanism output connecting lever, the spring operating mechanism has the advantages of being integrated in design, high in reliability, low in machining requirement, easy to assemble, controllable in cost and high in response speed, the energy storage state is displayed through the energy storage indication assembly, and the operation efficiency is improved. Opening and closing states are displayed through the opening and closing indication board, and display is visual; moreover, the emergency opening operation is realized through the emergency opening assembly, the closing and locking operation is realized through the closing and locking assembly, and the interlocking operation is realized through the interlocking assembly, thereby improving the safety.