585 results about "Industrial site" patented technology

Methods for systematically providing enhanced energy efficiency of mega industrial sites and synergy with the adjacent community through advanced hybrid inter-systems energy integration targeting and solutions generation to achieve desired best levels of energy consumption and greenhouse gas emissions reduction, are provided. An exemplary method includes identifying a plurality of possible inter-processes integration energy consumption targets for a plurality of possible inter-processes energy integration combinations between a plurality of functional areas of a mega industrial site, selecting an energy-efficient inter-processes integration energy consumption target, identifying the combination of the plurality of possible inter-processes energy integration combinations providing for the energy efficient inter-processes integration energy consumption target, generating a plurality of technically viable industrial site inter-processes heat exchange system design alternatives, and identifying the technically viable industrial site inter-processes heat exchange system design substantially providing for optimal total waste heat recovery between the respective functional areas.

Systems, computer readable media, and program code for systematically providing enhanced energy efficiency of mega industrial sites and synergy with the adjacent community through advanced hybrid inter-systems energy integration targeting and solutions generation to achieve desired best levels of energy consumption and greenhouse gas emissions reduction, are provided. An exemplary system includes a computer and computer readable code for performing the operations of determining possible inter-processes integration energy consumption targets, selecting an energy-efficient inter-processes integration energy consumption target, determining the inter-processes energy integration combination providing for the energy efficient inter-processes integration energy consumption target, generating a plurality of technically viable industrial site inter-processes heat exchange system design alternatives, and assisting a user to identify the technically viable industrial site inter-processes heat exchange system design substantially providing for optimal total waste heat recovery between the respective functional areas.

The invention provides a blockchain-based industrial Internet architecture, comprising a user terminal, an industrial cloud platform, an industrial intelligent terminal and a data collection device, wherein the user terminal performs data interaction with the industrial cloud platform to display parameter states of various systems and devices on an industrial site and to control an intelligent device connected to the industrial intelligent terminal; the industrial cloud platform constructs a plurality of distributed blockchain nodes by using the virtualization technology, the blockchain nodesare connected with a cloud server database, and the blockchain node verify each other by constructing a small world network to ensure the trustworthiness of the nodes; and the data collection device is configured to connect and collect the data of at least one industrial intelligent terminal, and transmit the collected data to the industrial cloud platform through the Internet, a virtual machine is created in the data collection device, and a virtualized data encryption program is operated in the virtual machine.

The invention relates to a multisensor-based three-dimensional outline measuring device and a measuring method thereof. The measuring device comprises a base plate, a vertical movement platform, a working table surface and light measurement sensor assemblies. The working table surface is provided with four or more than four light measurement sensor assemblies which are evenly distributed around a measuring hole; each light measurement sensor assembly comprises a laser, a camera and a camera mount; the lower end of each camera mount is buckled on an assembly guide way which is fixed on the working table surface; the cameras are arranged on the camera mounts; and the lasers are fixed on the working table surface. The invention utilizes the light measurement sensor assemblies to improve the measurement speed and provides an effective technical measure for the batch detection of industrial site components; and the invention adjusts field coverage and amplification ratio according to the surface shape of a tested component and is adapted to the measurement of a complex curve surface of a blade or a conical gear, and the like, which cannot be effectively measured by using conventional methods.

An FPGA-based ultrahigh-speed industrial controller comprises a main control unit, an FPGA independent power supply unit, a JTAG debugging interface circuit, an EPCS16 program configuration circuit, a clock input and automatic / manual reset circuit unit, a conditioning board power supply unit, a 16-path analog quantity input A / D conversion unit, an eight-path analog quantity output D / A conversion unit, a switch quantity input signal isolation and conditioning unit, a switch quantity output signal isolation and drive unit, an RS232 / half / full-duplex RS485 / RS422 bus communication unit, 16 paths of industrial site switch quantity input, an upper computer or an access industrial network. According to the FPGA-based ultrahigh-speed industrial controller, only one FPGA is used as a main control chip to complete analog quantity and switch quantity acquisition and control of an industrial control system. The FPGA-based ultrahigh-speed industrial controller has the most prominent features of high speed and ultrahigh speed and has the advantages of low cost, good versatility, high stability, good reliability, field programmability and strong expansion capability and the like.

The invention discloses a repair medicament for compound heavy metal polluted soil. The repair medicament comprises the following components: phosphate compound, soluble ferric salt, magnesium oxide, inorganic clay, an organic chelating agent and silicon dioxide, wherein the phosphate compound adopts one or the combination of phosphate, hydrophosphate or dihydric phosphate. The repair medicament is applicable to compound heavy metal polluted farmland soil, compound heavy metal polluted industrial site soil and compound heavy metal polluted mine site soil. Stirring and mixing of the repair medicament and the heavy metal polluted soil belong to in-site stirring and mixing or off-site stirring and mixing. The repair medicament is short in repair cycle and low in cost, has wide spectrum, and is simple in technical operation.

A high-speed platform motion parameter self-tuning method based on model identification and equivalent simplification is provided, comprising: establishing a test of a motion state of a high-speed platform, identifying model parameters, and optimizing motion parameters of an equivalent simplified model; selecting any motion function from a pre-set parameterized curve, setting initial parameters, and driving the high-speed platform to move under the action of a controller and an actuator; collecting dynamic response information of the platform, calculating dynamic characteristic information of the platform such as stiffness, frequency, damping and the like; establishing a dynamic response equivalent simplified model by using the acquired dynamic characteristic information, and performing the optimization constrained by meeting motion precision and targeting at shorter execution time for the motion parameters in the selected parameterized motion function to obtain the optimum parameters. The method of the present invention gives consideration to the dynamic characteristic requirement of the platform and the comprehensive requirement of the parameter identification and optimization on the industrial site, facilitates the implementation of an algorithm in a motion control card, and is suitable for rapidly acquiring the optimum motion parameters of the actual high-speed platform on site.

The invention discloses an industrial robot remote monitoring and data processing system. The system comprises an industrial robot system located at an industrial site, an uplink data collecting system for collecting robot data to a cloud server, a downlink control system for achieving control over the industrial robot, a data processing system for performing unified management on the collected data and a visualized monitoring interface Web client. The uplink data collecting system and the downlink control system are both integrated into an embedded plate, the embedded plate is connected to acloud server through wireless or 4G, data interaction is achieved between the embedded plate and the cloud server, all obtained data of the industrial robot system is uploaded to the cloud server upwards to be stored, and the pose of the industrial robot is controlled downwards. The loss caused by fault halting can be effectively lowered, most simple fault problems can be solved through data checking and remote debugging, engineers do not need to be arranged to the site specially, and faults can be resolved more flexibly.

The invention discloses an industrial Internet system based on cloud-side cooperation. The system comprises industrial terminal equipment, an edge gateway and industrial edge cloud, which are sequentially connected through an intranet or private network environment, and the industrial edge cloud is in resource connection with an extranet. The industrial edge cloud is used for carrying out storage,processing and modeling analysis on data processed by the edge gateway, production lines, pipelines, PLCs, robots, numerical control machine tools and other equipment on an industrial site can be connected to form an organic whole so as to meet the requirements of low time delay, high reliability and diversification of on-site application, and intelligent data processing is carried out in cooperation with the industrial edge cloud. The edge gateway carries out unified acquisition on production data of enterprises, supports data preprocessing on an edge side, and pushes the data to the industrial edge cloud for storage, processing and further modeling analysis, and cloud-side cooperation of resources, data, intelligence and services is realized through an edge cloud network topology relationship.

The invention provides a real-time three-dimensional presentation system based on a distributed sensing network. The real-time three-dimensional presentation system comprises a physical space, an information processing layer and a virtual space, wherein the physical space is used for acquiring factory data, and transmitting the factory data to the information processing layer; the information processing layer is used for receiving the factory data, performing preprocessing and analytical calculation on the received factory data by a data pool in order to obtain processed factory data, and transmitting the processed factory data to the virtual space at the same time; and the virtual space is used for receiving the processed factory data, and performing modeling and scene reduction on the processed factory data through digital twin software in order to build a twin digital model of an industrial site. The real-time three-dimensional presentation system has the beneficial effects that thetechnical scheme is oriented to the global control of a factory, so that a user can rapidly and accurately comprehend the running state of equipment on the site in real time; the production process of an actual factory is controlled through a visual interaction interface; and equipment exceptions can be controlled and investigated immediately.

An electricity supply apparatus includes a control device configured to calculate an amplitude of a control signal and to generate the control signal; an energy station configured to draw a current from a mains, to provide part of the drawn current to the load, to receive the control signal from the control device, and to vary the drawn current according to the amplitude; and a battery configured to recharge by drawing part of the drawn current and to discharge by supplying the load. The apparatus is characterized in that the control device is further configured to calculate the amplitude of the control signal also according to battery information relating to a recharge and / or a discharge condition of the battery.

The invention discloses an optimal deployment method of a large-scale industrial wireless sensor network based on differential evolution algorithm, which ensures the system reliability through carrying out optimization deployment on nodes, and relates to two fields of industrial wireless sensor network and intelligent computation. The method comprises the following steps of: carrying out automatic coordination on spaces according to actual spaces of industrial sites, obstacles, wireless sensor power and accurate requirement; and using the total number of nodes and minimum load standard difference of cluster heads as targets, wherein a node deployment model is established for restriction conditions based on the redundancy requirement, '1' represents arrangement of the cluster heads corresponding to mesh points, and '0' represents no arrangement. The invention provides a new binary differential evolution algorithm for optimizing and solving the model. By using a new probability prediction operator, the population is updated by a generated binary variation individual. The method can ensure the system reliability, and can reduce the construction cost of the system at the same time, balances the system energy consumption and prolongs the network life cycle through the optimization deployment of the nodes.

The invention provides an inverse-kinematics universal solving method of a robot with multi-degree of freedom. The common space theory is used for setting a universal kinematical equation of an nR robot, the weighted space vector projection method is used for analyzing the relationship between space vector projection values and revolute joint angles of a space robot, projection weighted values of joint vectors on robot tail end vectors are used as the basis for regulating the tail end pose of the robot, and projection weighted values of joint vectors are determined to achieve half-analytic solution of the inverse kinematics. The method achieves kinematical salvation of the nR robot and also finishes the space obstacle avoidance task. The method can be widely applied to series type space nR robots, has the advantages of being high in calculation speed and high in solving precision, provides control input parameters for series type robots, and meets the requirement for robot kinematics solving operation on industrial sites.

The invention provides an equipment data collecting system based on OPC UA protocol, which can solve multi-level data collection, transmission and monitoring problems of each bottom device, measuring instrument, automatic control system and so on on the industrial site, realize data transparency of complicated bottom automation equipment and improve information integration modes. The equipment data collecting system based on the OPC UA protocol is characterized by comprising a bottom adapter, an OPC UA middleware and an upper application, wherein the bottom adapter comprises a data modulation module and a data transmission module, wherein the data modulation module is used for taking out bottom equipment data value needed by a user, data values of a plurality of communication protocols can be taken out through configuration, and the data transmission module is used for transmitting the data value taken out from the data modulation module to the OPC UA middleware at a configured speed; the OPC UA middleware comprises a data service center and a Modeling and configuring module; and the data service center comprises a data collection module, an even processing module, an OPC UA real-time data server and a history data module.

The invention relates to a locomotive position monitoring and safety controlling device based on a track circuit and a control method thereof. The device comprises a fixed device and a vehicle-mounted device. The fixed device comprises a communication server, a centralized traffic control main machine, a data radio station base station, a global position system (GPS) time service device and a computer interlock system. The vehicle-mounted device comprises a safety control main machine, a vehicle-mounted data radio station, a vehicle-mounted GPS time service device, a display, an alarm voice box, a braking device and a sensor. Based on the devices and a current industrial site computer interlock system, the locomotive position monitoring and safety controlling device based on the track circuit and the control method thereof achieve real-time calculation for an accurate position where a locomotive runs on a railway through utilizing the occupied and idle time of the track circuit and according to the collected running speed of the locomotive, can predict whether the locomotive runs on the basis of observing regulations according to the position and by referring to the conditions of a signal machine, a track switch and other signal devices, and carries out early warning and braking before violation of the regulations. Accordingly, the purpose of guaranteeing safe driving is achieved.

The invention discloses an electronic die cutting material defect detecting implementation method based on machine vision. The method comprises the following steps of (a) loading a detection template; (b) transferring a detection object; (c) monitoring through a sensor; (d) capturing an image; (e) identifying an object; (f) processing the image; (g) carrying out binarization processing; (h) carrying out data statistics and detection analysis. The method adopts a non-contact optical sensor system, and adopts a machine to replace human eyes to measure and judge, a system utilizes a CCD (Charge Coupled Device) camera for capturing the image of an objective measuring object, and information such as pixel distribution, brightness and color of the image of the objective measuring object is converted into digital image signals; a project control system operates the signals to extract the characteristics of the measuring object; finally, field equipment is controlled to act according to tolerance and other condition output results so as to meet the core demands on on-line detection of product defects and dimension measurement, so that the measurement precision, the measurement speed, and the reliability under an industrial site environment can be ensured.

The invention discloses a method for extracting rim ultrasonic flaw detection signals on the basis of wavelet transformation, and particularly relates to an effective signal identifying method provided aiming at complex discrete signals collected by an online automatic flaw detection device for a locomotive wheel on an industrial site. The method mainly comprises the following steps of loading collected initial data, carrying out wavelet multi-resolution analysis to original signals, carrying out threshold value processing to each layer coefficient obtained after the wavelet transformation, and then inversely transforming wavelet coefficient to reconstruct signals. After the denoising is accomplished, the effective signals can extract positive detection enveloping curves so as to read flaw detection reports to be displayed in a user interface. Compared with the traditional digital filter in the aspect of extracting effective signals, the method has the advantages that the loss of an echo peak value is small, thus the defect detection rate is greatly enhanced, and the false dismissal possibility is avoided; and the denoising effect is obvious, and the effective signals are smooth, thus pulse signals can be effectively extracted from high-frequency noise, so as to avoid the possibility of false detection.

An emission monitoring system includes at least one gas analyzer for measuring a concentration of a first gas and a concentration of a second gas, a positioning system for determining the location of the at least one gas analyzer when the concentration of the first gas is measured. A method for monitoring emissions at an industrial site and a computer-implemented event detection system applies the steps of detecting the presence of a gas emission event based on a first detection ratio calculated from the measured concentration of the first gas, the measured concentration of the second gas, a background concentration of the first gas and a background concentration of the second gas.

As system is disclosed for providing power averaging for the utility grids and more specifically to utilizing a unique EESU unit with the capability to store electrical energy over 24 hour periods each day and provide power averaging to homes, commercial, and industrial sites to reduce the peak power requirements. Charging such power averaging units during the non-peak times and delivering the energy during the peak-demands times provides for more efficient utilization of utility-grid power-generating plants and the already existing power transmission lines. Such a unit may also have the capability of isolating the users from utility-grid power failures, transients, and AC noise.

The invention discloses a communication resource allocation method of a wireless sensor network. The method includes the first step of network layering, wherein layer numbers are determined by wireless equipment according to the hop distance between the wireless equipment and a wireless concentrator, and meanwhile the layer numbers are dynamically maintained, the second step of time slot allocation, wherein time slot resources in a superframe in the network are allocated in layer, communication initiated in different layers has access to the network in a time division multiple access mode, and communication launched by nodes on the same layer has access to the network in a competitive mode based on carrier sense, and the third step of wireless channel allocation, wherein the different layers can repeatedly use the time slot resources of bay layers on different wireless channels to achieve concurrence access of the difference wireless channels at the same time. The communication resource allocation method can conveniently and effectively achieve the aims of building of a large-scale low-power-consumption multi-hop network and low-power-consumption access of large-scale wireless nodes, can meet application requirements of the wireless sensor network in the field, outdoors, industrial sites and other environments, and provides high-quality efficient wireless sensor network service for users.

The use of electrical energy storage unit (EESU) technology can provide power averaging for utility grids. Such EESUs can also be used to construct a system capable of storing electrical energy over specified periods (e.g., 24 hours) to provide peak power to homes, commercial sites, and industrial sites. By charging these power averaging units during non-peak times and then delivering the energy during peak-demands times, more efficient utilization of the present utility-grid power-generating plants and the already existing power transmission lines will be accomplished. These systems also have the capability of isolating users from utility-grid power failures, transients, and AC noise.

The invention relates to a heavy metal stabilizer for treating industrially polluted soil and a method for using the heavy metal stabilizer. The heavy metal stabilizer consists of phosphate, inorganic Composition of alkaline substances and adsorbents. The method of use includes: fully stirring and mixing phosphate, inorganic alkaline substances and adsorbents in proportion, and then adding them to the soil of industrially polluted sites for conservation. The invention does not contain any organic chelating agent such as dithiocarbamate or sulfide, has no secondary pollution and pollution-free; the method of use is simple, the cost is low, and it meets the benefits of energy saving and carbon reduction, economic benefits, and has good application prospects.

The invention relates to a remote monitoring method in an industrial site. The method comprises the following steps of: collecting the monitoring data of site equipment from a PLC (Programmable Logic Controller) by a monitoring computer; transmitting the collected monitoring data to a database server by the monitoring computer; transmitting the monitoring data received from the monitoring computer to a Web server by the database server; analyzing whether the site equipment and detection parameters are abnormal or not by the Web server according to the monitoring data received from the database server; and marking abnormal points in a monitoring picture and transmitting abnormal information to a corresponding monitoring terminal by the Web server when the site equipment or the detection parameters are abnormal.

The invention discloses a holographic on-site dynamic balance method based on precession vector. The inventive method is based on holographic spectrum theory, via the precession decomposition of machine work-frequency axial center track, to build a large machine on site dynamic balance method, aimed at rotor positive precession track initial vector as balance target. The invention avoids the interference of imbalance accident on imbalance evaluation in the balance process, to improve balance accuracy and efficiency. The invention can find the end condition of large machine on site dynamic balance, according to the change of precession ratio in the balance process, to improve the efficiency of on site accident check and reduce repeated balance operation or the like. The invention can effectively eliminate the effect of heterologous rigidity on balance decision, for various support rigid anisotropy rotors in industrial site, with wide application.

The present invention provides a digital automatic power interruption and re-supply relay for performing detection and comparing operation to inform a state of an accident with voice and numerals and automatically operating a connected relay to interrupt power when there occur abnormal changes such as interruption of electric power, open-phase, anomalous voltage, unbalanced voltage, negative-phase, overcurrent, and electric leakage in a power transmit and supply line of high and low voltage or special high voltage and high (low) voltage and, after compensating for the accident, for automatically re-supplying the power. The automatic power interruption and re-supply relay for an electric power line comprises: an anomalous voltage detector coupled to three phase buses for detecting unbalanced voltage and anomalous voltage of three phases; a phase detector for detecting an open-phase, negative-phase, and interruption of electric power; an overcurrent detector for detecting overcurrent on each electric power line; a zero current detector for detecting zero current on each electric power line; a breakdown detector for detecting an anomalous state of relays installed on the electric power lines and machinery installed in an industrial site; and a central processing unit (CPU) implemented with a microprocessor for comparing and analyzing information from the detectors with preselected reference values and determining and processing the anomalous state.

The invention discloses a data collector applied to real-time quality monitoring at a traditional industrial site. The data collector includes a data acquisition circuit, a data transmission circuit and a communication protocol conversion circuit, wherein the data acquisition circuit and the transmission circuit comprise at least two data acquisition or transmission modes and the communication protocol conversion circuit is capable of automatic communication protocol conversion according to the data acquisition or transmission modes, so that various data acquisition or transmission modes can be compatible and real-time delivery of data in the Internet of Things is better achieved.

The invention discloses a method combining hyper-spectrum and wavelength modulation for simultaneous measurement of high-temperature gas two-dimensional transient temperature field and concentration field. The method includes: arranging a laser array in a to-be-measured high-temperature area, and conducting hyperspectral scanning on the to-be-measured area to obtain water vapor absorption spectral line information, and carrying out demodulation with a digital phase lock technology to obtain each harmonic signal, then conducting background deduction first harmonic normalization processing, extracting the maximum amplitude value of the signal to measure regional temperature field and water vapor concentration field, and during measuring, conducting grid discretization treatment on the to-be-measured area, arranging laser beam at each row and each column of the grid to conduct broad spectrum scanning on the characteristic spectral line of the to-be-measured gas under a wavelength modulation mode, and using intelligent optimization algorithm to realize inversion of the temperature field and gas concentration field. The measurement method provided by the invention combines hyper-spectrum and wavelength modulation spectroscopy technologies, and is especially suitable for monitoring of high-temperature gas two-dimensional temperature field and concentration field on harsh industrial sites.

The invention discloses a numerical control machine processing online measurement method. The method can realize online measurement of large workpieces. A binocular stereo vision measurement system is combined with a numerical control machine to complete integral measurement of the large workpieces under the traction of the numerical control machine. The method comprises the following steps of: calibrating internal and external parameters of a camera, and combining the measurement system and the numerical control machine; performing translation calibration and rotary calibration to calibrate direction vectors of X-axis and Y-axis of the numerical control machine and rotary matrix R and translation vector T after the measurement system rotates; dragging the measurement system to move by the numerical control machine to perform single view field scanning till traversing all surfaces of a measured workpiece; and finally, performing integral joint according to all view field point cloud data and the reading of a main shaft of the numerical control machine so as to complete integral measurement of the workpiece. The method has the characteristics of flexible use, convenience, high precision and the like, and can be used for online measurement of the large workpieces on an industrial site.

The invention discloses a polypropylene melt index predicating method based on a multiple priori knowledge mixed model, which fully explores and utilizes priori knowledge of a polypropylene industrial site, and is used for organically integrating various priori knowledge, embedding the priori knowledge into a multilayer perceptron neural network in a non-linear equality constraint form, and optimizing a network weight number by means of a particle swarm optimization algorithm based on an augmented Lagrange multiplier constraint processing mechanism. Based on the multiple priori knowledge neural network model, the multiple priori knowledge neural network model is organically integrated with a polypropylene melt index simplification mechanism model into a harmonic average mixed soft-measuring model. The multiple priori knowledge mixed soft-measuring modeling method has good fitting prediction ability, and is capable of enhancing model extrapolation capacity and realizing good unity of model extrapolation and prediction accuracy of polypropylene melt indexes. Besides, the method is capable of avoiding zero gain and gain inversion and guaranteeing safety in practical polypropylene melt index quality closed-loop control application.

The measuring system is a technique of optical-mechanical-electrical integration to obtain 3D vector information of object shape by using laser to scan object to be measured, and using computer to process scanned information data. System is composed of gauge head, C type arm, lifting rotary table, control cabinet and main control computer. User inputs basic measurement parameters. Carrying scan path planning automatically, system controls laser gauge head and lifting rotary table to complete measurement. By using arc slide rail specific to C type arm, the system implements hologram 3D laser scan without blind spot. The system possesses high adaptive capacity to environment, and anti noise capability so as to meet requirement of industrial site. The invention is applicable to detective, archaeology, 3D animation and industrial area, as well as online detection, and processing quality validation in active and automatic detection mode.