128results about How to "Timely regulation" patented technology

The invention discloses a vehicle retrograde motion intelligent detection method based on tracking track analysis. The method comprises the following steps: detecting a target vehicle in a video imageby utilizing a primary classifier and a secondary classifier; extracting a target vehicle area, distributing a nuclear correlation filtering tracker for the target vehicle; wherein each target vehicle is matched with one nuclear correlation filtering tracker, the nuclear correlation filtering tracker is used for obtaining a tracking area of the target vehicle, then the movement track growth direction of the target vehicle is obtained according to the tracking area and compared with the initially marked retrograde movement direction, and if the movement track growth direction is the same as the initially marked retrograde movement direction, the target vehicle retrograde movement occurs; And if not, the target vehicle does not run reversely. By means of the mode, real-time detection of vehicle retrograde running is achieved, and the problems existing in manual detection are solved; And meanwhile, the reliability of vehicle detection and recognition is improved by using the cascade classifier, and simultaneous tracking of multiple vehicle targets is realized.

The invention discloses a rainfall flood regulating system which comprises a draining aisle, a rainwater inlet is formed in the left end of the draining aisle, an outlet for rainwater to be processed is formed in the right end of the draining aisle, a draining opening is formed in the front side of the draining aisle, a draining control weir gate is arranged at the draining opening, and a first level sensor is arranged in the draining aisle. A first regulation and storage tank and a second regulation and storage tank are arranged on the rear side of the draining aisle, a first overflow structure is arranged between the draining aisle and the first regulation and storage tank, a second overflow structure is arranged between the first regulation and storage tank and the second regulation and storage tank, a front water passing channel is connected between the first regulation and storage tank and the second regulation and storage tank, a one-way check valve is arranged on the front water passing channel, a submersible sewage pump is arranged in the first regulation and storage tank, and the water outlet end of the submersible sewage pump is connected with the draining aisle. Rainwater and the flood peak in the middle period are regulated in time while initial rainwater is separated, pollution of the initial rainwater and city and town waterlogging are effectively prevented, and regulation and storage are safe and reliable.

The invention discloses an in-vitro cell pressure loading device and an in-vitro cell pressure loading method thereof. The in-vitro cell pressure loading device is characterized by comprising a pneumatic source (1), an air inlet electromagnetic valve (2), a filter (3), a decompressing valve (4), a pressure cavity (5) and a digital regulation and control system, wherein the pneumatic source is connected with the pressure cavity by the air inlet electromagnetic valve, the filter and the decompressing valve; one end of the pressure cavity (5) is connected with an air outlet electromagnetic valve (6); the air outlet electromagnetic valve is connected with a computer (14) by a drive circuit (7) and a multifunctional data acquisition card (8); the other side of the drive circuit (7) is connected with the air inlet electromagnetic valve (2); the other end of the pressure cavity (5) is connected with a pressure sensor (9); the pressure sensor is connected with the computer (14) by a programmable gain amplifier (10) and the multifunctional data acquisition card (8); and the pressure cavity (5) is connected with the computer (14) by a standard cylinder (11), a linear stepping motor (12), a power amplifier (13) and the multifunctional data acquisition card (8).

The invention discloses a special flexible fixture for machining vibration control of complex thin-wall blade parts. The special flexible fixture comprises a bottom plate, wherein a double-pressing plate linkage mechanism, an auxiliary supporting mechanism and a multi-point ejector pin clamping mechanism are sequentially arranged on the bottom plate from left to right; a plurality of the auxiliarysupporting mechanisms are provided; the height of each auxiliary supporting mechanism is adjustable. According to the special flexible fixture, the multi-point ejector pin clamping mechanism is adopted, and the problem that the thin-wall part of the free curved surface is difficult to clamp is solved.; on the basis of positioning and clamping, a magneto-rheological material with controllable performance is adopted, small displacement sensitivity, high output damping and good high-frequency response performance of cutting machining are adopted to control the damping support, so that the rigidity of the machining process is enhanced, and the machining precision of the workpiece is improved; and when a similar part of another size is machined, under the condition that the layout condition ofthe original fixture is not changed, the magnetic rheological damper with different sizes can be replaced by adjusting the distance between the multi-point clamping mechanisms, so that the clamping of the existing workpiece can be met.

The invention relates to a cement clinker component determination method in cement production, in particular to a method for determining calcium sulfoaluminate content in cement clinker, which comprises the following steps of: connecting experimental instruments such as a tubular type high-temperature furnace, a nitrogen cylinder, a tower type drier, an absorption bottle and a glass rotor flowmeter, and measuring the content of C4A3S in cement clinker according to experimental steps. The method provided by the invention has the advantages of rapid, accurate and reliable determination, simple instrument and equipment, low cost and convenient operation, and is suitable for C4A3S content determination of cement clinker in factory production, thus facilitating timely production control.

The invention discloses a bridge moving vehicle load identification method. In the using process of the bridge, an effective method for identifying loads of moving vehicles on the bridge is lacked, and potential safety hazards of the bridge are caused by overload of the moving vehicles. The method comprises the following five steps: step 1, determining the static weight of a target vehicle; step 2, determining parameters of the target vehicle; step 3, determining the driving speed of the target vehicle; step 4, determining the vertical acceleration of the target vehicle; step 5, establishing asystem numerical model; a simplified numerical model of the bridge structure is established; step 6, determining the load of the moving target vehicle. According to the vertical acceleration obtainedin the step 4, the target vehicle in the process of passing through the bridge, the vertical acceleration of the target vehicle in the process of passing through the bridge is obtained, and the vertical acceleration of the target vehicle in the process of passing through the bridge is obtained; and obtaining an interaction force between the bridge structure and the moving vehicle within a duration time range of t2-t1 in the driving process of the target vehicle by combining a formula. The invention further discloses a method for obtaining the interaction force between the bridge structure andthe moving vehicle by using the method.

The invention relates to the field of inspection robots, in particular to an aviation nondestructive inspection intelligent robot. The aviation nondestructive inspection intelligent robot comprises a walking assembly, an anti-collision buffering mechanism, a rollover control mechanism, a rollover sensing mechanism, a temperature sensing mechanism, two monitoring cameras, a direction adjusting assembly and an angle adjusting assembly, wherein the walking assembly is used for inspection movement; the anti-collision buffering mechanism is used for playing a role in buffering when the walking assembly is collided; the rollover control mechanism is used for controlling the walking assembly to be stable when the walking assembly is collided; the rollover sensing mechanism is used for sensing the rollover direction of the walking assembly, so that the rollover control mechanism can control rollover; the temperature sensing mechanism is used for sensing the temperature in aviation equipment; the two monitoring cameras are used for monitoring the condition in the aviation equipment; the direction adjusting assembly is used for adjusting the observation direction of the monitoring cameras; and the angle adjusting assembly is used for adjusting the observation angle of the monitoring cameras. According to the aviation nondestructive inspection intelligent robot, the problems that traditional manual inspection is low in efficiency, manual labor is increased and labor loss is easily caused are solved, the manual labor is reduced, and the aerial inspection efficiency and accuracy are improved.

The invention provides an unattended environment monitoring system for a transformer substation. The unattended environment monitoring system comprises a detection module used for detecting parameters of the environment in the transformer substation, an information acquisition module, a processing module, an output module, a monitoring center and a remote output module. The detection module is used for detecting the parameters of the environment in the transformer substation and outputting parameter information to the information acquisition module, the parameter information is processed by the information acquisition module and then output to the processing module, the parameter information is processed by the processing module and then output through the output module, data interaction is carried out on the processing module and the monitoring center, and the monitoring center outputs monitoring information through the remote output module. The unattended environment monitoring system for the transformer substation can be used for conducting round-the-clock monitoring on the environment of the transformer substation, errorless unattended operation is achieved when environmental parameters are normal, and labor cost is reduced.

The invention provides a system and method for monitoring agricultural intensive production. The system comprises an information acquisition and processing system arranged in the production field, wherein the information acquisition and processing system is connected with a cloud computing center through a transmission network. The method includes the implementation steps that an ARM development board is used for controlling a control node or extracting video characteristic values of video information of a video acquisition device and transmitting the video characteristic values to the cloud computing center, and after video images are analyzed by the cloud computing center, the ARM development board is controlled to complete agricultural adjustment. Compared with the prior art, the system and method for monitoring agricultural intensive production have the advantages that the agricultural video images are analyzed through the computer vision technology, and the production can be automatically adjusted and controlled according to animal and plant growth models; through image processing based on the embedded development board, the characteristics of video acquired in the agricultural production field are extracted, and the problems of network congestion and large consumption caused by a large data size of large-scale video transmission are solved.

The invention provides a visual monitoring method and system for the heat supply network data of a heating station heat supply area. The method comprises the following steps that: collecting the monitoring data of the fixing monitoring point of a heat-supply pipe network in each heating station heat supply area in an appointed area; taking each piece of collected monitoring data as the heat supplynetwork data of the corresponding heating station heat supply area; according to a preset first mapping relationship, obtaining an identification color corresponding to the heat supply network data of each heating station heat supply area, wherein the first mapping relationship comprises a corresponding relationship between the numerical value range of the heat supply network data and the identification color; and according to the obtained identification color, independently identifying the corresponding boundary graph of each heating station heat supply area in a heat supply heat supply network graph. By use of the method, management personnel can conveniently and visually know the working condition of the heat supply network and carry out regulation and control according to the workingcondition of the heat supply network, energy waste is reduced so as to be favorable for energy saving and emission reduction, in addition, the comprehensive monitoring of a thermodynamic system is realized, and therefore, heat supply service quality is favorably provided.

The invention relates to an ultra-filtration automatic control system and a method based on a membrane structure parameter model. The control system comprises an industrial personal computer (IPC), a control cabinet, a manual control panel, equipment and a meter which are mutually connected, wherein the IPC sets commands and parameters under an automatic control mode and realizes real-time data exchange with the control cabinet; the control cabinet receives the commands and parameters of an IPC Kingview and implements a control program; and the manual control panel implements the control program under a manual control mode; and the equipment and the meter complete filtering, backwashing, quick-washing and bleaching under a manual control mode or an automatic control mode. The control method applies the PLC to collect ultra-filtration flow, pressure data and Kingview to achieve data preservation and uses MATLAB to fit the data, thereby calculating the optimal backwashing and quick-washing time, and then the PLC calls the calculated result to conduct the backwashing and the quick-washing. The system of invention is scientific, effective and practical, and avoids the blindness that the traditional ultra-filtration system sets time or pressure for the backwashing and the quick-washing, thereby causing the membrane contamination to be more timely and effectively controlled.

The invention discloses a continuous flow method for preparing benzaldehyde from benzyl dichloride through hydrolysis, belonging to the technical field of chemical production. The continuous flow method is a method for preparing the benzaldehyde from the benzyl dichloride serving as raw material through catalytic hydrolysis of hydrochloric acid in a micro-channel reactor, and relates to the field of organic synthesis application. The raw material benzyl dichloride and industrial hydrochloric acid are pumped into the micro-channel reactor through a metering pump, and are preheated, mixed and reacted to obtain a benzaldehyde rough product. According to the method, the conventional benzaldehyde production time is shortened from several hours to several minutes; and the method has the advantages of easiness in operation, low equipment loss, small environment pollution and the like. The conversion rate of the benzyl dichloride reaches 69.2 percent, and the selectivity of the benzaldehyde is 100 percent.

The invention discloses an aerobic and anoxic dual-purpose wastewater treatment biological expansion bed device and a process. The aerobic and anoxic dual-purpose wastewater treatment biological expansion bed device includes a feed tank, a feed pump, a biological expansion bed, an ultrasonic cleaning device, a heating circulation device, a circulation pump, a gas flow meter and a gas automatic control device. By regulating of the rising flow rate of circulating water, a packed bed can run in an expansion state to avoid short circuit in a water flow and improve a substrate removal load. The aerobic and anoxic dual-use wastewater biological expansion bed device has the advantages of flexible operation, stability, small footprint and quick start-up speed, can handle different concentrations of wastewater, has a wide range of applications, is particularly suitable for the characteristics of large changes in wastewater quality and volume caused by rapid upgrade of products and large changesof yield of Chinese enterprises in the prior art, and can effectively improve current situations of high vacancy rate and high mortality of environmental protection facilities in the prior art.

The invention discloses a denitration-demercuration integrated device and method used in circulating fluidized bed desulfurization of sintering flue gas, belonging to the technical field of desulfurization and denitration of sintering flue gas. The device comprises a CFB reactor, an industrial water tank, a digestion tank, a denitration reduction absorbent tank, a cloth bag dust removal system, aflue gas monitoring system and an electrostatic dust removal system. The method comprises the following steps that firstly, a denitration oxidant component A of is sprayed into a flue located betweenan electrostatic dust collector and a CFB reactor, and can rapidly oxidize a part of NO in flue gas into a high-valence-state multi-nitrogen-oxide mixture easy to absorb by water vapor, and then the high-valence-state multi-nitrogen-oxide mixture enters the CFB reactor; and a denitration reduction absorbent component B is sprayed into the CFB reactor, lime is sprayed into the CFB reactor, and desulfurized and denitrated flue gas undergoes dust removal and is then discharged after being detected by the flue gas monitoring system. The method disclosed by the invention is simple, environment-friendly, circular and pollution-free, and has low operation cost and remarkable economic and environmental benefits.

The invention relates to a substrate table system. The substrate table system comprises a substrate table, wherein water cooling pipes with different sizes are distributed below the substrate table indifferent areas. The method for improving the growth uniformity of a diamond film specifically comprises the following steps that the substrate table system is constructed; the diamond film is deposited, wherein in a cavity of a plasma ball generated by microwave discharge, the water cooling and heat dissipation efficiency of different areas of the substrate table is controlled, so that the substrate table has a high-to-low gradient heat dissipation effect from the center to the edge area, a uniform temperature distribution state is established on the surface of the substrate, and the purposeof improving the uniformity of the microwave plasma chemical vapor deposition diamond film is achieved; and a diamond film sample is taken out. The substrate table system has the beneficial effects of being easy to machine and mount, efficiently controlling the temperature of each area of the substrate table, effectively improving the uniformity of temperature distribution on the surface of the substrate table, and facilitating uniform deposition of the diamond film and the like.

The invention relates to a liquid nitrogen flow intelligent regulating, controlling and cooling system suitable for low-temperature cutting. The liquid nitrogen flow intelligent regulating, controlling and cooling system suitable for low-temperature cutting comprises an infrared thermometer, two rotating nozzles, low-temperature flowmeters, low-temperature electric valves, conveying pipelines, a liquid nitrogen tank, a central processing unit and pipe fittings for connecting. According to the system, the infrared thermometer is used for detecting the temperature of the front cutter surface andthe rear cutter surface on line and feeding back the temperature to the central processing unit, the central processing unit is used for controlling the liquid nitrogen flow of each pipeline throughthe low-temperature flowmeters and the low-temperature electric valves on the upper pipeline, the lower pipeline and the main pipeline according to the set temperature, and finally the intelligent regulation and control of the liquid nitrogen flow are realized.

The invention provides a robot for healthy raising of live pigs. The robot for healthy raising of the live pigs is used for solving the problems that manual inspection of abnormal behavior characteristics of live pigs, and detection and regulation of raising environment parameters are poor in accuracy, low in efficiency and high in labor strength. The robot for healthy raising of the live pigs comprises a mobile terminal monitoring platform, an execution mechanism platform and a behavior monitoring platform, wherein the mobile terminal monitoring platform, the execution mechanism platform andthe behavior monitoring platform are all provided with wireless transmission modules, and the mobile terminal monitoring platform and the execution mechanism platform are connected with the behavior monitoring platform through the corresponding wireless transmission modules respectively. The robot for healthy raising of the live pigs can automatically and fast conduct global or local monitoring and automatic collecting on information of growth situations, behavior characteristics, raising environments and the like of pig herds and pig individuals of selected pigpens in sequence, functions of timely regulation of abnormal environments of the live pigs, fast judgement and diagnosis of abnormal behavior and diseases, early warnings against epidemic situations, and the like are achieved, and the intelligent management level of a live pig raising process is raised.

The invention discloses a cold-chain logistics refrigerated product transportation quality optimization management system based on big data. The system comprises a transportation route statistics module, a route parameter acquisition module, a route parameter analysis module, a transportation database, a route transfer station statistics module, a transfer residence time analysis module, a parameter processing center, a transportation environment parameter acquisition module, a manual input module, a management server, an intelligent recommendation terminal and a display terminal. According tothe invention, the defects of one-sidedness of transportation route selection and untimely regulation and control of the transportation environment existing in the current cold-chain product logistics transportation are overcome, and then the cold-chain product logistics transportation is optimized, so that the transportation quality of the cold-chain product is improved by the optimization result, the logistics transportation time of the cold-chain product is shortened, and meanwhile, the timeliness of regulating and controlling the transportation environment of the cold-chain products by transportation management personnel is improved, the defects of existing cold-chain logistics management are overcome, and the purpose of optimizing the logistics transportation quality of the cold-chain products is achieved.

The invention provides a vehicle information processing method, a terminal, a server and a vehicle system. The vehicle information processing method comprises the steps as follows: acquiring data information in a vehicle system connected with a terminal according to a received data acquisition instruction, wherein the terminal is connected with the vehicle system through a Bluetooth low-energy module; uploading the data information to a server connected with the terminal to enable the server to correct the data information; and receiving a data information correction result from the server and sending the correction result to the vehicle system to enable the vehicle system to control a vehicle according to the correction result. According to the technical scheme of the invention, communication connection with the vehicle system is established quickly through the Bluetooth low-energy module, vehicle information can be acquired in time and correction information can be sent down in time to enable the vehicle system to control the vehicle in time, the stability of the vehicle state is improved, and the driving experience of users is improved.

The invention discloses a water system communication system and an implementation method thereof. A water system comprises dams, lakes and rivers, and the dams communicate with the lakes through pumpstation water lifting and draining systems and open channel landscape purification systems; if important traffic roads, high-rise buildings or high mountain zones are not arranged between the lakes and the rivers or between the two lakes, the lakes communicate with the rivers through the open channel landscape purification systems, and the two lakes communicate with each other through the open channel landscape purification systems; or / and if the important traffic highways, the high-rise buildings or the high mountain zones are arranged between the lakes and the rivers or between the two lakes, the lakes communicate with the rivers and the two lakes communicate with each other through a jacking pipe communication system, and the jacking pipe communication system penetrates through the important traffic highways, the high-rise buildings or the area below the high mountain zones. The water system communication system is simple in structure and low in cost, waterlogging drainage is effectively achieved through drainage of the drainage channel and lake flood storage, the drought resisting function is effectively achieved through a water lifting pump station, landscape aquatic plants are purified through the lakes and the drainage channel, and the greening water landscape effect is achieved.

The invention relates to a direct-current power distribution network bus voltage control system and a control method thereof and belongs to the power electronics technology field. The direct-current power distribution network bus voltage control system comprises a main server and a local server. The system is characterized in that the local server and the main server are mutually connected so as to form horizontal interconnection; the local server is connected to a direct current bus through a distributed power supply module; the direct current bus is connected to an alternating current power grid through an AC / DC conversion current module; the main server is connected to the AC / DC conversion current module; the local server is used for monitoring a voltage of the direct current bus and responding to a control instruction of the main server; and the main server is used for emitting the control instruction to the local server. In the method, the local server and the main server are connected through a horizontal interconnection form so as to form a parallel network system, and feedback response is performed on a fluctuation of the voltage of the direct current bus so that a corresponding speed of the whole system is increased and the voltage of the direct current bus can be maintained to be in an allowable range.

The invention discloses a fresh-keeping module remote control system based on the Internet of Things. The system comprises an MCU applied to a refrigeration device and also comprises a fresh-keeping module, a detection module, a lease module, a communication module, a display panel, a database, a server and a web interaction interface electrically connected with the MCU. The fresh-keeping module comprises a rheostat and a transformer and also comprises an inner wall coil winding and a partition plate coil winding set in the refrigeration device. The detection module comprises a magnetic fieldsensor, a visual sensor, a smell sensor, a pressure sensor and a temperature sensor. The temperature sensor comprises a sensor in a cabinet, a sensor outside a cabinet and a condensation sensor, the lease module comprises a GPS chip, a timer and an electronic lock, and the display panel is provided with an indication lamp and an alarm assembly. The system can effectively monitor, regulate and control the fresh-keeping function of fresh foods and can timely monitor a refrigeration environment of the refrigeration device, the functions of real-time monitoring and regulation are realized, the fresh-keeping effect and timely regulation and control of the refrigeration device are ensured, the system is convenient and intelligent, and the popularization and application of the system are facilitated.

The invention relates to an ultra-filtration automatic control system and a method based on a membrane structure parameter model. The control system comprises an industrial personal computer (IPC), a control cabinet, a manual control panel, equipment and a meter which are mutually connected, wherein the IPC sets commands and parameters under an automatic control mode and realizes real-time data exchange with the control cabinet; the control cabinet receives the commands and parameters of an IPC Kingview and implements a control program; and the manual control panel implements the control program under a manual control mode; and the equipment and the meter complete filtering, backwashing, quick-washing and bleaching under a manual control mode or an automatic control mode. The control method applies the PLC to collect ultra-filtration flow, pressure data and Kingview to achieve data preservation and uses MATLAB to fit the data, thereby calculating the optimal backwashing and quick-washing time, and then the PLC calls the calculated result to conduct the backwashing and the quick-washing. The system of invention is scientific, effective and practical, and avoids the blindness that the traditional ultra-filtration system sets time or pressure for the backwashing and the quick-washing, thereby causing the membrane contamination to be more timely and effectively controlled.

The invention relates to the field of road traffic signal control, and specifically relates to a traffic signal iterative control optimization method based on a macro basic map. The problem that the traffic hardware facilities cannot be fully utilized and the traffic efficiency of the road network is low as the existing traffic signal control scheme is inefficient and cannot be combined with the actual situation of the road network is solved. The scheme is as follows: (1) the entrances of a road network are determined and numbered to obtain an entrance number set R-Entrance{R1, R2, ... , Rm, ...}; (2) the set of the traffic volume change values of the entrances at a time node is Rj-Entrance{R1j, R2j, ... , Rmj, ...}; (3) the expression of the dissipation rate of each road section is Vm=S<m>g<m>(t); (4) the expression of the number of vehicles on the mth road section is hmj=hm<j-1>+Rmj-Vm; (5) the expression of the vehicle density is x1(t)=hmj / em, and the expression of the vehicle density error is y(t)=x1(t)-x2(t); (6) g1(t)=c-l-g2(t) is obtained according to the following phase constraints: Sigma<i=1><2>gi(t)=c-l; and gi(k)min<=gi(k)<=gi(k)max; and (7) a P-type iterative learning control method, namely, g<k+1>(t)=gk(t)+Gamma[yd-yk(t+1)], is adopted, and the green time is obtained by letting yd=0. The advantage is as follows: the traffic signal is controlled in time according tothe real-time vehicle density, so that the traffic efficiency is improved, the traffic jam during peak hours is solved, and travel is facilitated.

The invention relates to a method for predicting the ash content of clean coal in the flotation process, belongs to the technical field of key index prediction in the coal dressing industry, and solves the problem that the ash content of existing flotation clean coal cannot be effectively, accurately and rapidly detected. The method comprises the following steps: collecting data in real time, wherein the data comprises a flotation froth image, a tailing image, flotation feeding concentration, flotation feeding flow and flotation liquid level; inputting a flotation froth image collected in real time into the trained clean coal ash content prediction main model, and processing to obtain a clean coal ash content prediction value; performing normalization processing on the gray characteristic value, the flotation feeding concentration, the flotation feeding flow and the flotation liquid level of the tailing image acquired in real time, and inputting the gray characteristic value, the flotation feeding concentration, the flotation feeding flow and the flotation liquid level after normalization processing into the trained clean coal ash content prediction compensation model; processing to obtain a clean coal ash content error prediction value; and compensating the clean coal ash content prediction value by using the clean coal ash content error prediction value to obtain a clean coal ash content prediction result.

The invention relates to a detection method for conventional elements in limestone, in particular to a method for detecting the conventional elements in limestone by X ray fluorescence spectrometry analysis. The method includes: preparing limestone with different content of CaO, MgO, SiO2, Al2O3 and Fe2O3 into a series of standard samples, and establishing a CaO, MgO, SiO2, Al2O3 and Fe2O3 spectral line intensity and content analysis detection standard work curve on an X ray fluorescence spectrometer through the standard samples; and according to the spectral line intensity comparison result of CaO, MgO, SiO2, Al2O3 and Fe2O3 in limestone actually measured by the standard work curve and the X ray fluorescence spectrometer, calculating the content of CaO, MgO, SiO2, Al2O3 and Fe2O3 in the measured limestone automatically. The method provided by the invention employs a squash technique to perform analysis on the X-ray fluorescence instrument, not only saves manpower and material resources, reduces the analysis cost, but also consumes less time, and needs only 50 minutes for reporting the data of 7 samples, thus being convenient for production workshops to regulate limestone materials timely.

The invention discloses a fully adjustable electromagnetic field biological effect loading device and an in vivo and in vitro electromagnetic field loading method thereof. The device comprises a driving power supply (1), a driving unit (2), a magnetic field mechanism (3), a control power supply (4), a control unit (5) and a display unit (6), wherein the driving power supply (1) is connected with the driving unit (2) and the magnetic field mechanism (3); the driving unit (2) is directly connected with the magnetic field mechanism (3); the control power supply (4) is connected with the control unit (5) and the display unit (6); and the control unit (5) is connected with the driving unit (2) and the display unit (6).

The invention belongs to the technical field of automatic teller machine (ATM) equipment and provides a cash recycling system (CRS) and a cash replenishing control method. The CRS comprises a cash box component, a channel component, a control component and a cash detector, wherein the channel component can be used for paper money to directionally pass through; the control component is used for controlling the orientation of paper money; the cash box component comprises a plurality of cycling cash boxes and a cash replenishing cash box; the cycling cash boxes respectively contain different kinds of paper money; the cash replenishing cash box is used for replenishing the cycling cash boxes with cash at the same time; the channel component comprises a first channel and a second channel; the first channel is connected with the cycling cash boxes; the second channel is connected with the cash replenishing cash box; the cash detector is connected between the first channel and the second channel; and the control component is used for controlling any paper money in the cash replenishing cash box to directionally move into the corresponding cycling cash box. The control method achieves rapid cash replenishing via the CRS. Through such design, the problems that the existing CRS is complex in cash replenishing processes and has low work efficiency can be solved.

The invention discloses a cold-chain logistics temperature prediction method, and a temperature regulation and control method. The cold-chain logistics temperature prediction method comprises the following steps: performing normalization processing on collected data; inputting the data set into an ELM model, and calculating a model evaluation value; optimizing the input weight w and the hidden layer bias b of the ELM model by using a mayfly algorithm, continuously updating the positions of male mayflies and female mayflies, carrying out crossover operation so as to obtain new w and b, calculating a new model evaluation value based on the new w and b, and updating the minimum model evaluation value so achieve that the error of a prediction result is minimum; judging whether the mayfly algorithm reaches the maximum number of iterations, and if the condition is met, outputting an optimal solution, or otherwise, continuing iterative optimization until a stop condition is met; and outputting optimal parameters of the mayfly algorithm, substituting a result into the extreme learning machine model, outputting a predicted value and evaluating the performance of the model. According to the method, a more accurate temperature prediction result can be obtained, and temperature can be effectively regulated and controlled based on the result.

The invention discloses an internet-of-things-based intelligent agricultural monitoring device comprising a body with a cylindrical structure. A microprocessor is arranged inside the body; an upper end of the body is connected with a solar cell panel by an upper support pipe and a sensor interface array and a lower support pipe for providing water are arranged at a lower end; and a plurality of water spraying heads are arranged at a side surface and are connected with the lower support pipe. Besides, a wireless communication module, a storage battery, and an electric valve capable of controlling opening degrees of the water spraying heads are arranged inside the body; the storage battery and the solar cell panel are connected; and the electric value and the microprocessor are connected. With the device, correlated growth data of plants in a greenhouse can be collected and monitored efficiently; the working efficiency is high and the labor intensity is low; regulation can be carried out effectively and timely according to current situations; and a phenomenon that the growing situation of the plant is affected because the best adjusting chance is missed can be avoided.