52results about How to "Improve operating status" patented technology

An HVAC system for a vehicle having a battery pack, and a method of operation, is disclosed. The HVAC system may comprise a refrigerant loop having a first leg and a second leg, and a refrigerant compressor in the refrigerant loop. In the first leg, an evaporator provides cooling to a passenger cabin of the vehicle, an evaporator shut-off valve selectively blocks the flow of refrigerant through the evaporator, and an evaporator thermal expansion valve is upstream from the evaporator. In the second leg, a battery heat exchanger receives the refrigerant, a battery thermal expansion valve is located upstream from the battery heat exchanger, and a battery cooling shut-off valve selectively blocks the flow of refrigerant through the battery heat exchanger. The shut-off valves and compressor are controlled to control the cooling of the passenger cabin and the battery pack.

A multi-cable suspended lift with tail cable for balancing is composed of drive drum, overhead pulley set for bearing all load of suspending steel cable and lift container, driving steel cable, lift contain and tail cable. The active load of driving steel cable and lift container is borne by drive drum.

The invention relates to the field of air conditioner control, in particular to a preheating structure, preheating system and preheating method for a compressor and an air conditioner. The method includes the following steps that after the compressor is started, the gas return temperature at the position of a gas return opening of the compressor is collected; and the gas return temperature is compared with the preset normal lubricating oil temperature, and opening or closing of a first electronic valve, a second electronic valve and a third electronic valve is controlled according to the comparison result. Compared with a former electrical-heating preheating manner, the temperature rising speed is high, the low-speed operation time of the system compressor can be shortened, the compressor can rapidly accelerate to be in the normal operation state, the heating capacity is rapidly improved, and the user experience effect is improved.

The invention provides an intelligent detection device for detecting the motion state of a lift car. The device is installed on the outer side of a lift car door, and the accelerated speed and the airpressure value of a certain position of the lift car door are collected through an accelerometer and an air pressure meter and transmitted to a MCU to be subjected to data processing. After the air pressure value of the accelerometer is corrected through the MCU, third-order Kalman filtering is conducted according to the accelerated speed of the vertical direction of the accelerometer and the airpressure value read by the air pressure meter, the height, the speed and the accelerated speed of the current lift car are obtained, and the rising, falling and stopping states of the lift car are judged; and after the accelerated speed of the horizontal direction of the accelerometer is corrected and subjected to Kalman filtering, the speed and the displacement of the lift car door are obtainedthrough a frequency-domain quadratic integral method, and the door opening, the door closing, the door opening in-place and door closing in-place states of the lift car door are judged. According to the device, the installing position is hidden, and the precision of the obtained detection results is high.

The embodiment of the invention provides a network equipment starting time testing method and a testing control bench. When network equipment to be tested is powered on, a message sending port of a network tester is controlled to send testing messages to the network equipment to be tested through auxiliary testing equipment at a preset message sending rate, and after the network equipment to be tested receives the testing messages, the testing messages are sent back to the network tester through the auxiliary testing equipment. The testing message receiving rate of a message receiving port of the network tester is captured. When the testing message receiving rate equals to a preset message sending rate, the network tester is controlled to stop sending testing messages, and the numbers of sent testing messages and received testing message of the network tester are obtained. The complete starting time of the network equipment is obtained based on the numbers of sent testing messages and received testing message of the network tester, and the preset message sending rate. Through the testing method, the complete starting time of network equipment, reflecting real normal communication recovery capability of the network equipment can be obtained.

The invention discloses a reactive compensation controller which is a microprocessor circuit comprising a processor, an analogue / digital (A / D) circuit connected or integrated with the processor, and a sampling hold circuit. An alternating current (AC) signal sampling circuit comprises an AC voltage sampling circuit, an AC current sampling circuit and a signal regulating circuit which are connected with the A / D circuit; a temperature sampling circuit comprises a temperature analogue sampling circuit and a signal regulating circuit which are connected with the A / D circuit; a switch signal sampling circuit comprises an optocoupler isolation and overcurrent protection circuit which is connected with the processor; a communication interface comprises a communication circuit which is in Uart connection with the processor; and an AC sampling circuit is connected with the voltage and current of the power grid as well as the current of a capacitor bank loop to carry out sampling. According to the invention, the functions of strong current control, weak current control, operation monitoring and fault protection are integrated through high-strength isolation, the function of online monitoring on the operation state and loop fault of a capacitor loop is added, so that fault loop isolation and alarming can be carried out in time so as to ensure the normal and stable operation of equipment.

The invention discloses a support vector regression machine fusion-based expressway road section mean velocity estimation method. The method includes the following steps that: 1) an expressway to be researched is selected, and basic data are obtained; 2) a road section mean velocity is obtained through using a trajectory method-based correction algorithm and according to fee charging data; 3) passenger service vehicles and hazardous article transport vehicles of which the single operating mileage exceeds 800 kilometers are adopted as floating vehicles, a road section mean velocity is obtained through using a speed-time integral model and a weighted average method; and 4) a support vector regression machine fusion algorithm is adopted to fuse the two road section mean velocities, so that a support vector regression machine fusion-based expressway road section mean velocity can be obtained. According to the support vector regression machine fusion-based expressway road section mean velocity estimation method of the invention, expressway road section fee charging data and Beidou satellite positioning system data about the passenger service vehicles and hazardous article transport vehicles of which the single operating mileage exceeds 800 kilometers are combined, the fused road section mean velocity is obtained through the support vector regression machine method, and therefore, the accuracy of velocity estimation is improved, the daily monitoring and emergency disposal of expressway managers can be benefitted, and the operational efficiency of expressways can be effectively improved.

The invention provides a sleep mode automatic control method and an air conditioner. The sleep mode automatic control method comprises the following steps of: collecting the voice information of a user according to the setting time after starting an intelligent sleep mode by the user; locating the specific location of the user according to the currently collected voice information of the user, andjudging whether the user is in a sleep state according to the mobile position of the user; and controlling the operating mode of the air conditioner according to the current state. The method judgesthat the user is in the sleep state by collecting the voice information of the user in a room, thus, the air conditioner automatically executes the sleep mode, and the comfortableness of user experience is improved.

The invention provides a field station data transmission and integration method. The method comprises the steps that an on-site system and a remote background system are constructed, and the on-site system and the remote background system transmit data to each other through a wireless communication network, wherein the on-site system comprises an on-site data processing module, a storage module, a wireless communication module, a power management module and a clock module; the remote background system sends network commands to the on-site data processing module. According to the method, the on-site data processing module is used for completing storage and transmission, a large internal memory can be expanded, and the file storage mode is changed to a database storage mode; an OBS instrument data protocol is simplified and standardized, commands can be remotely received and sent to control the operation state of an OBS instrument and data acquisition frequency, a sending network is selected preferably, the communication success rate is guaranteed to the largest extent, and data are stored continuously; when the network is restored, messages are automatically forwarded, a standby power supply can be used through switching in time, and normal instrument data acquisition and normal network communication work are guaranteed.

Systems and methods for enhancing aircraft performance are provided. In one example, a method can include accessing an initial model that defines operating cost of an aircraft at a series of model operating states. The method also can include identifying one or more sample operating states for analyzing aircraft cost during flight. The method also can include receiving one or more real-time flight performance parameters indicative of aircraft operating cost while the aircraft is operating at the identified sample operating states. The method also can include generating an updated model that defines operating cost of the aircraft using the initial model as well as data defined by the real-time flight performance parameters. The method also can include determining an enhanced operating state based at least in part on the updated model and outputting the enhanced operating state for control of the aircraft.

The invention discloses an optimized design method for the section of a multi-rib type T-shaped beam bridge. The optimized design method includes the steps that a governing differential equation and the natural boundary condition of the multi-rib type T-shaped beam bridge are built on the basis of the principle of minimum potential energy, influences of factors such as the shear-lag effect, the shear-lag warping stress self-equilibrium condition and Timoshenko shear deformation of the multi-rib type beam bridge are comprehensively considered to carry out fine mechanical analysis on the structure, and then the reasonable size of the section is selected to enable the multi-rib type beam bridge to be in the good mechanical state. According to the optimized design method, the mechanical analysis is more accurate, bad diseases such as beam cracks and rigidity reduction can be easily avoided accordingly, and the safety performance of the multi-rib type beam bridge is improved. The optimized design method is clear in mechanical concept and simple in calculation, the multi-rib type beam bridge is in the good operation state, and therefore the good application value is achieved.

The invention provides an automatic oil recharging device, and relates to an industrial lubricant injecting and recharging device. The automatic oil recharging device comprises an upper oil storage cup and a lower oil storage cup. Spare oil quantity scales are marked on the outer wall of the upper oil storage cup. A guiding rod is arranged inside the upper oil storage cup. A conical plug, a conical compression spring and a compression spring base are arranged at the portion, at the lower end of the guiding rod, inside the lower oil storage cup. An oil outlet is formed in the left side of the lower oil storage cup. A pressure balancing pipe is installed on the right side of the lower oil storage cup. Circular oil level inspection windows are formed in the front side and the rear side of the lower oil storage cup. Due to the adoption of the technical scheme, compared with the prior art, the automatic oil recharging device has the advantages that the visual area is large, oil levels are clear, the structure is exquisite, the sealing performance is good, the appearance is attractive and elegant, the lower oil storage cup is not prone to aging, and is not easily discolored or broken, the mechanical strength is high, and the threaded strength is high.

The invention provides a data analyzing and network monitoring integration method for an OBS instrument. The method includes the steps that an on-site system and a remote background system are established, and the on-site system and the remote background system are made to transmit data through a wireless communication network; the on-site system comprises an on-site data processing module, a storage module, a wireless communication module, a power management module and a clock module; the remote background system sends a network instruction to the on-site data processing module. According to the method, storage and transmission can be achieved through the on-site data processing module, a large memory can be extended, a file storage mode is changed to be a database storage mode, an OBS instrument data protocol is simplified and standardized, the instruction can be received and transmitted in a remote mode to control the operating state and the data acquisition frequency of the OBS instrument, a transmitting network is preferentially selected, the communication success rate and continuous data storage can be guaranteed to the maximum degree, when the network recovers, messages can be uploaded automatically, the system can further be switched to a stand-by power supply in time, and thus it is guaranteed that instrument data acquisition and network communication work are normal.

The embodiment of the invention discloses elevator operation state monitoring method, device and equipment. The method comprises the following steps that the voltage value of an elevator circuit is measured; and the operation state of the elevator circuit is determined according to the voltage value. According to the elevator operation state monitoring method, device and equipment, the operation state of the elevator circuit can be accurately judged, and the operation state of an elevator can be conveniently monitored in real time; the hidden dangers and faults of an elevator door lock circuitand a safety circuit can be predicted in advance, and suggestions on elevator maintenance and component replacement are issued; and therefore, the operation safety of the elevator is increased, elevator accidents are prevented, and the user experience is improved.

The invention discloses a factory intelligent monitoring sharing cloud platform based on the Internet of Things, which comprises a cloud server and a client, whereinthe client comprises a local server, a production data collection module, and a remote interaction module. The production data acquisition module comprises a timing assembly used for recording equipment operation time and a piece counting assembly used for recording the production quantity of the equipment in the operation time; the timing assembly and the piece counting assembly are connected with the local server, and the remoteinteraction module comprises an interaction display screen connected with the local server; the cloud server comprises a central server with big data computing and processing capabilities, the centralserver is connected with a data acquisition module and a data storage module, and the data acquisition module is used for receiving production data transmitted by the local server and storing the production data to the data storage module. Thefactory intelligent monitoring sharing cloud platform based on the Internet of Things has the advantages that the enterprise investment can be reduced, theinternet-of-things requirements of various enterprises can be met, the operation state of the enterprises can be improved, and the operation cost is reduced.

The invention relates to the technical field of injection molding monitoring, and discloses a multicolor injection molding machine turntable position deviation real-time monitoring method and system, and the method comprises the steps: obtaining turntable design parameters, constructing a three-dimensional digital model, and dividing a fan-shaped monitoring region; acquiring no-load motion data to generate a no-load motion feature vector; collecting real-time motion data to generate a real-time motion feature vector; comparing the real-time feature vector with the no-load feature vector to judge whether position deviation occurs or not; if deviation occurs, a diagnosis process is triggered; through multi-dimensional data fusion analysis, real-time accurate monitoring and fault diagnosis of the position deviation of the turntable are realized, and the production quality and efficiency of the multi-color injection molding machine are remarkably improved.

The invention discloses a front-end electronic equipment fault detection and intelligent maintenance application management system. The system comprises a front-end electronic equipment unit, a communication transmission equipment unit, a communication line unit, a communication transmission receiving unit and a computer management platform; the communication transmission equipment unit is composed of communication transmission equipment and an embedded detection assembly, the embedded detection assembly comprises a detection module, and the detection module detects and processes the working state information of the front-end electronic equipment unit and detects the working state information of the front-end electronic equipment unit. And the working state information of the front-end electronic equipment unit is transmitted to the computer management platform for analysis and processing, wherein the working state information comprises normal working state information and abnormal working state information. According to the invention, the external field front-end electronic equipment unit can analyze and diagnose faults in the communication transmission equipment unit, so that theequipment can achieve the functions of automatic fault diagnosis and automatic recovery.

The invention discloses a factory intelligent monitoring and sharing cloud platform based on the Internet of Things, which includes a cloud server and a client. The client includes a local server, a production data acquisition module and a remote interaction module; The timing component of the time and the piece-counting component used to record the production quantity of the equipment during the running time; both the timing component and the piece-counting component are connected to the local server, and the remote interactive module includes an interactive display screen connected to the local server; the cloud server includes a large data A central server with computing and processing capabilities, a data acquisition module and a data storage module are connected to the central server, and the data acquisition module is used to receive the production data transmitted by the local server and store it in the data storage module. The invention has the advantages of reducing the investment of enterprises, meeting the needs of various enterprise Internet of Things, improving the operation state of enterprises, reducing operation costs, and the like.

The invention provides a field station data transmission and integration system. The system comprises an on-site system, wherein the on-site system comprises an on-site data processing module, a storage module, a wireless communication module, a power management module and a clock module. The on-site system receives network commands sent by a remote background system. According to the field station data transmission and integration system, the on-site data processing module is used for completing storage and transmission, a large internal memory can be expanded, and the file storage mode is changed to a database storage mode; an OBS instrument data protocol is simplified and standardized, commands can be remotely received and sent to control the operation state of an OBS instrument and data acquisition frequency, a sending network is selected preferably, the communication success rate is guaranteed to the largest extent, and data are stored continuously; when the network restores, messages are automatically forwarded, a standby power supply can be used through switching in time, and normal instrument data acquisition and normal network communication work are guaranteed.

The invention discloses a support vector regression machine fusion-based expressway road section mean velocity estimation method. The method includes the following steps that: 1) an expressway to be researched is selected, and basic data are obtained; 2) a road section mean velocity is obtained through using a trajectory method-based correction algorithm and according to fee charging data; 3) passenger service vehicles and hazardous article transport vehicles of which the single operating mileage exceeds 800 kilometers are adopted as floating vehicles, a road section mean velocity is obtained through using a speed-time integral model and a weighted average method; and 4) a support vector regression machine fusion algorithm is adopted to fuse the two road section mean velocities, so that a support vector regression machine fusion-based expressway road section mean velocity can be obtained. According to the support vector regression machine fusion-based expressway road section mean velocity estimation method of the invention, expressway road section fee charging data and Beidou satellite positioning system data about the passenger service vehicles and hazardous article transport vehicles of which the single operating mileage exceeds 800 kilometers are combined, the fused road section mean velocity is obtained through the support vector regression machine method, and therefore, the accuracy of velocity estimation is improved, the daily monitoring and emergency disposal of expressway managers can be benefitted, and the operational efficiency of expressways can be effectively improved.

The invention provides a data analyzing and network monitoring integration system for an OBS instrument. The system comprises an on-site system and a remote background system which are used for transmitting data through a wireless communication network. The on-site system comprises an on-site data processing module, a storage module, a wireless communication module, a power management module and a clock module. The remote background system sends a network instruction to the on-site data processing module. According to the system, storage and transmission are achieved through the on-site data processing module, a large memory can be extended, a file storage mode is changed to be a database storage mode, an OBS instrument data protocol is simplified and standardized, the instruction can be received and transmitted in a remote mode to control the operating state and the data acquisition frequency of the OBS instrument, a transmitting network is preferentially selected, the communication success rate and continuous data storage can be guaranteed to the maximum degree, when the network recovers, messages can be uploaded automatically, the system can further be switched to a stand-by power supply in time, and thus it is guaranteed that instrument data acquisition and network communication work are normal.

The invention discloses a harmless treatment method of high-concentration pesticide organic waste liquid, the harmless treatment method is divided into a channel a and a channel b for harmless treatment according to the components of the high-concentration pesticide organic waste liquid, and comprises the following steps: (a1) introducing the high-concentration pesticide organic waste liquid intoa distillation kettle, (a2) enabling the waste liquid in the step (a1) to enter an ozone oxidation section and then enter a biochemical facility, (b1) feeding the high-concentration pesticide organicwaste liquid and an extraction agent into a static mixer according to a flow ratio, then feeding into a separation tower, and enabling an oil phase to flow out from the upper part and a water phase toflow out from the lower part, (b2) feeding the oil phase into a simple distillation kettle, and (b3) enabling the water phase to enter an ozone oxidation section. The high-concentration pesticide organic waste liquid is subjected to effective pretreatment through extractive distillation before being subjected to catalytic ozonation and advanced oxidation, it is guaranteed that the high-concentration pesticide organic waste liquid enters ozone catalysis with a stable medium, the treatment pressure and the process burden of a workshop section are relieved by prolonging a process route, and thetreatment efficiency and the running state of equipment and facilities are effectively improved.

The invention provides a dead-zone-equipped DC motor system adaptive full-state constraint control method, and relates to the technical field of DC motor control. According to the method, the mathematical model of a DC motor having a vibration-free mode is established and then a nonlinear input model, i.e. the dead zone model, is established, a state feedback adaptive controller is designed basedon a radial basis function neural network, angular position measurement is performed by using the optical encoder of an orthogonal decoding chip in the operating DC motor system, and the state feedback adaptive controller is accessed. The state feedback adaptive controller is adopted and inputting can be performed based on the dead zone so that the overall performance of the DC motor set and the control accuracy of the system can be enhanced, the influence of the asymmetric dead zone on the DC motor can be eliminated, the operation state of the DC motor set can be greatly enhanced and the power output stability can be guaranteed.

The invention relates to the technical field of vibration monitoring, and discloses an online monitoring system for power transmission line vibration. The system comprises a vibration monitoring instrument, a controller, a wireless communication module, a data communication module, an SCADA system, a client and a data processing server. The vibration monitoring instrument is mounted on a cross armof a power tower; the controller is mounted on the power tower and is in communication connection with the vibration monitoring instrument; the controller is in communication connection with the wireless communication module; the wireless communication module is connected with a Web server through Internet; the wireless communication module is connected with the data communication module; the data communication module is connected with the SCADA system through the data processing server; and the data processing server is respectively connected with the Web server and the client. A real-time early warning service can be provided for large-span safe operation of the power transmission line by rapidly and accurately acquiring, transmitting, processing and managing a large amount of data andinformation of large-span vibration of the line and mastering the change of the vibration elimination effect of the vibration prevention device of the ground wire in time.

The utility model relates to a waste heat recycling system, a steam preparation system and a wine brewing system, comprising a cooling water circulation pipeline which comprises an inlet pipeline, an outlet pipeline, a first branch and a second branch; the on-off assembly is selectively communicated with the first branch or the second branch according to the temperature difference between the cooling water and the waste heat water; the heat pump unit comprises a first heat pump mechanism arranged on the second branch, and the first heat pump mechanism absorbs heat of the waste heat water flowing through the second branch or releases heat to the waste heat water flowing through the second branch according to the temperature difference between the cooling water and the waste heat water; the second heat pump mechanism comprises a heat absorption end and a heat release end, the heat absorption end is used for absorbing the heat of the waste heat water in the outlet pipeline, and the heat release end is used for releasing the heat absorbed by the heat absorption end. The running state of the heat pump unit is improved through waste heat of the heat pump unit, the heating energy efficiency ratio of the heat pump unit is increased, energy consumption is reduced, energy is saved, carbon emission is reduced, and the dual-carbon target is assisted.

The utility model provides a current output type power supply device for rail transit operation and maintenance. The current output type power supply device comprises a carrying unit, and a control box and a power module which are detachably connected with the carrying unit, the number of the power modules is multiple, the adjacent power modules are stacked, and the carrying unit is provided with plug connectors used for fixing the power modules. The current output type power supply device for rail transit operation and maintenance has the beneficial effects that the control box and the power unit are integrated on the carrying unit to form a direct current output power supply device so as to meet actual use requirements.

The invention relates to the technical field of aluminum alloy die casting, and provides a trimming and shaping integrated cleaning device which comprises an upper die plate. The upper die plate comprises a main guide mechanism, a main mounting buckle, an upper pull-back rod, an upper cutting edge cushion block, a pre-pressing block, a pre-pressing part insert, a first reserved hole, a first cushion block, a main plate body, a main mounting rod, a second reserved hole, an upper die cutting edge, a main fixing plate, a bearing, a protective sleeve and a supporting rod. The whole structure of the equipment is simpler, maintenance is more convenient, the safety of the equipment is higher when the equipment is used, and the problems of removal of hole partition skins and peripheral burrs and plane correction of aluminum alloy die-cast flat plate thin-wall parts and the problem that in a traditional process, the hole partition skins and the peripheral burrs are stamped away through a stamping die on one oil press, a shaping die is used on the other oil press to correct the plane of a blank, and two processes and the two oil presses are needed in the process, so that the efficiency is low are solved.

The invention discloses a circuit breaker mechanical state monitoring data cleaning method, and relates to the technical field of data cleaning. The invention discloses a method for cleaning mechanical state monitoring data of a circuit breaker. The method comprises the following steps of: 1, establishing a data cleaning model by utilizing an EMD algorithm; 2, acquiring and processing real-time monitoring data; 3, decomposing all monitoring data one by one; step 4, clustering all monitoring data decomposition results; and step 5, removing noise point data outside the data set. According to the method, the problem that the fault diagnosis of the circuit breaker is inaccurate due to the fact that noise and loss easily exist in the monitoring data obtained in the prior art is solved, the cleaned data are cleaner and tidier, the characteristics of the circuit breaker state data monitored in real time are better extracted, the data quality is effectively improved, and the fault diagnosis accuracy is improved. It is ensured that the operation state of the circuit breaker is better reflected by the data reserved after data cleaning, and the accuracy of fault diagnosis of the circuit breaker is improved.

The utility model discloses a novel gas channel of a mixing chamber of a dry distillation furnace, which belongs to the technical field of dry distillation equipment and comprises a furnace body, a generation section is arranged on the lower portion of the furnace body, a dry distillation section is arranged on the upper portion of the furnace body, a mixing chamber is arranged in the middle of the furnace body, and a hot gas inlet is arranged on the side portion of the furnace body. A scraping mechanism is arranged in an inner cavity of the mixing chamber, a sealing mechanism is arranged on the outer side of the furnace body, and a first spraying hole is formed in the top of the inner cavity of the mixing chamber and close to one side of the hot gas inlet. According to the utility model, the mixing state of generation section gas and circulating gas in the mixing chamber is improved, so that hot gas is uniformly distributed, a stable heat source is provided for shale at each part of the dry distillation furnace, shale dry distillation is more sufficient, the running state of the dry distillation furnace is improved, and the oil extraction efficiency is improved; the gas hole blocking condition of the mixing chamber is reduced, and the operation time of the gas retort is prolonged.