178 results about "Industrial monitoring" patented technology

A method for joining a wireless node of a field device such as a sensor or actuator to a wireless network connected to an industrial monitoring or control system. A handheld wireless device is utilized including hardware and software for communicating with the wireless node of a field device. A new communication configuration necessary for the new node to use in order to join the wireless network is sent from the handheld device to a new node. A wireless handheld device and an industrial monitoring or control system and a computer program.

The invention belongs to the technical field of industrial monitoring and particularly relates to a method for monitoring and processing various sensors. The method utilizes relativity of signals measured by the various sensors in various sensor systems and adopts multipath measurement signals to achieve failure diagnosis, warning and failure isolation of the sensors, and does not need a single sensor work state monitoring system, thereby simplifying system structure and improving reliability of a self-checking system.

The invention discloses a remote industrial monitoring using a cloud infrastructure. A cloud-based infrastructure facilitates gathering, transmitting, and remote storage of control and automation data using an agent-based communication channel. The infrastructure collects the industrial data from an industrial enterprise and intelligently sorts and organizes the acquired data based on selected criteria. Message queues can be configured on the cloud platform to segregate the industrial data according to priority, data type, or other criteria. Behavior assemblies stored in customer-specific manifests on the cloud platform define customer-specific preferences for processing data stored in the respective message queues. Web-based tools can deliver automated notifications to an end user device based on analysis of the stored data, and allow the user to remotely view the stored data.

The invention discloses a multi-path data acquiring system based on FPGA, which mainly solves the problems of small signal acquiring range and poor acquiring precision of the prior multi-path acquiring system. The multi-path data acquiring system comprises a multi-path selector, a programmable-gain amplifier, an AD converter and an FPGA data processing module, wherein the FPGA data processing module sends an address signal to the multi-path selector and also sends a magnification signal to the programmable-gain amplifier; the multi-path selector selects an external analog signal according to the address signal to enter the programmable-gain amplifier; after amplifying the input analog signal, the programmable-gain amplifier outputs the analog signal to the AD converter; the AD converter samples the input analog signal, quantifies the analog signal to form a digital signal and transmits the digital signal to the FPGA data processing module; and the FPGA data processing module transmits the input data to a host computer after sequencing, wave filtering and table searching. The invention has the advantages of wide signal acquisition range, high precision can convenient acquisition path expansion, thereby being suitable for the signal acquisition of an industrial monitoring and sensing network.

The invention discloses a remaining life prediction method based on two-stage random degradation modeling, and belongs to the field of industrial monitoring and fault diagnosis. The method mainly comprises the step of off-line modeling and the step of on-line parameter updating and remaining life prediction; wherein the step of off-line modeling comprises the substeps that historical degradation data is collected; maximum likelihood estimation is used for obtaining a change-point estimation value of each group of degradation, and the distribution characteristics of change-points are obtained through statistic analysis; two-stage degradation model parameters are identified offline on the basis of an expectation maximization algorithm; the offline obtained parameter estimation values and statistical characteristics of the change-point distribution serve as prior information of online parameter updating; the step of on-line parameter estimation and remaining life prediction includes the substeps that degradation data is collected online; online updating based on Bayesian theory model parameters is conducted; the remaining life of currently running equipment is estimated based on the updated parameters. According to the method, the degradation data with two-stage characteristics can be modeled, and the remaining life of the degradation data can be accurately predicted.

A supervisory control and data acquisition protocol converter having encoded meter register input ports which are able to interrogate, read, and retain data stored in viscous fluid or gas meter registers which communicate with the Automatic Meter Reading (AMR) protocols and convert that data upon request to an industrial monitoring and control system protocol such as MODBUS®, DF1, EtherNet / IP™, or ADAM 4000. The present art further provides serial RS-232C and RS-485, and Ethernet ports whereby said data may be transmitted and / or the apparatus may be setup according to user defined specifications. The present art apparatus also provides industrial standard pulse (0-5 volts) and current (4-20 milliamps) inputs. The present art further provides a user configurable display which may display any or only a portion of the aforesaid data along with other user desired data. The apparatus further serves a web page over the Ethernet port with the aforesaid data populating a table.

The utility model relates to an embedded SoC chip-based industrial wireless network monitoring system, pertaining to the Industrial monitoring technique field of the electronic communication. The system comprises a monitoring center, a couple of acquisition converters, a couple of collectors and the software. The collectors are subject to the acquisition converters and the software is installed on the collectors and the acquisition converters. Also, related software is available for the monitoring center's server. The SoC chips inside the collector and the acquisition converter is equipped with the built-in 32-bit RISC processor core, which support more than five types of the power consumption patterns; also, the built-in network protocol stack is adopted to meet the overall requirements needed by the wireless observe and control leading end for the high performance, the high reliability and the low power consumption. The ZIGBEE standard-oriented short distance wireless communication network is introduced to realize the wireless route and the on-site intelligent monitoring. In addition, VPDN technology is adopted to conduct the remote data transmission. The utility model has the advantages of low cost, high performance index as well as easy upgrading and maintenance afterwards. So, the utility model is applicable to the e-transaction terminal, the water monitoring system and relevant monitoring system.

The invention discloses a coding system and method of flow media in the professional monitoring system, which comprises the following steps: monitoring data gathering device, which gathers the video data to transmit the obtained coded video data to the monitoring flow process server; monitoring flow process server, which codes the received coded video data to obtain the flow media data; monitoring managing subsystem, which transmits the monitoring linking information of video playing subsystem to the video playing subsystem; video playing subsystem, which requests monitor for monitoring managing subsystem to decode the flow media data to play according to the monitoring linking information. The video playing subsystem receives he coded flow media data and key, which plays the decoded flow media data through the received key.

The invention discloses a visual monitoring platform based on HTML5 and an application method, and relates to the field of industrial monitoring and data visualization. The platform comprises a monitoring server and a monitoring terminal. The monitoring server provides Web service, user right management service and data service for a visual monitoring website based on HTML5. The visual monitoring website based on HTML5 is composed of multiple pages such as system login, visual configuration and visual monitoring. The pages of the visual configuration and the visual monitoring are realized by a Canvas technique. The visual monitoring website comprises rights of an engineer, an operator and a visitor. The monitoring server provides a visual control and graphic primitive information data service for the monitoring terminal by an HTTP protocol and provides real time and history data service by a WebSocket protocol. The visual configuration and the visual monitoring are realized through connection of a browser and the monitoring server.

The invention relates to an industrial monitoring unit, and in particular relates to a safety type industrial monitoring unit which comprises a liquid crystal displayer, wherein a touch screen is arranged in the front of the liquid crystal displayer; the liquid crystal displayer and the touch screen are connected with a CPU (central processing unit); the CPU is connected with an internal memory and a program memory; a PLC (programmable logic controller) communication interface is connected with the CPU through a peripheral communication module; a video camera is connected with the CPU through a picture processing module; and the CPU is connected with an encryption device. When the safety type industrial monitoring unit provided by the invention needs to modify the operating conditions of scene equipment, the operating conditions of the scene equipment can be modified through the authorization of the encryption device, thereby enhancing the safety.

The invention relates to an industrial monitoring network data collection node, which is based on a real-time multiprocessor system platform, and utilizes general plug and play network middleware to provide self-adaptive real-time data collection service for an industrial monitoring network center. The data collection node comprises a data collection end, a display control end and a data storage end, wherein the collection end is used for collecting a physical signal of a target device by utilizing a multichannel sensor, and preprocessing and conveying the physical signal to the display control end; the display control end is used for receiving a data packet uploaded by the collection end, splitting, analyzing and displaying the data packet, and transmitting the data packet to the data storage end according to user requirement; the data storage end is a real-time data buffer for the industrial monitoring network center; and the data collection end, the display control end and the data storage end complete data communication and control information response through the general plug and play network middleware. According to the industrial monitoring network data collection node, a physical topology is simplified, a network configuration task is simple and convenient, the updating and the maintaining are convenient, the construction cost is lower, and the intelligentization is favorable.

The invention discloses a method and system for realizing wireless industrial monitoring and control by utilizing mobile phones, wherein the Java function supported by mobile phones is utilized to download the monitoring and control terminal subsystem into the memory of the mobile phone and to be operated on the K-Java virtual machine of the mobile phone, thus data monitoring and control can be accomplished through the following process, (1) the user downloading and installing the monitoring and control of the mobile phone end, and accomplishing initialization, (2) the mobile phone monitoring and control subsystem submitting a registering request, the industrial monitoring control data server accomplishing authority limits allocation through identification, (3) the mobile phone monitoring control subsystem submitting monitoring control instruction through the wireless data network, (4) the industrial monitoring control data server accomplishing the command processing and returning the results.

The invention belongs to the field of industrial monitoring, particularly relates to the application of an empirical mode decomposition method and a probabilistic neural network in the aspect of fault diagnosis of flow passages of heat-engine plant steam turbines, and provides a fault diagnosis method for a flow passage of a steam turbine on the basis of empirical mode decomposition and the probabilistic neural network. The method includes the steps that firstly, fault symptom parameter data of the flow passage are collected when the heat-engine plant steam turbine operates normally and has different faults, fault features are extracted from the corresponding symptom parameter data by the utilization of the advantages of empirical mode decomposition in processing non-stationary and nonlinear data, fault detection and recognition are carried out by the utilization of the powerful nonlinear mode classification performance of the probabilistic neural network, and then faults of the flow passage of the steam turbine are effectively diagnosed. By means of the fault diagnosis method, the faults of the flow passage of the heat-engine plant steam turbine can be diagnosed rapidly and accurately.

A micromechanical device including an improved sensing element and improved bending elements is described. Sensing elements include multi-layered structures which are thinner, lighter, and flatter than structures presently known within the related arts. Bending elements include structures which separately respond to illumination by an infrared source so as to twist a sensing element. Micromechanical pixels may be arranged to form two-dimensional arrays of infrared sensitive pixels. Arrays of micromechanical pixels are applicable to imaging devices for use within the fields of security and surveillance, firefighting, automotive safety, and industrial monitoring.

The optical lens protective device is used in optoelectronic detection and industrial monitoring and suitable for the protection of optical lens in harsh environment, such as video camera lens in heating furnace, etc. The present invention features that in the optical lens protective device comprising inner protective barrel, outer protective barrel, front end cap and other part, one guiding unit is set to make the protective gas produce rotary diffusing gas flow in front of the lens, form one small local dustless environment and protect the lens from the pollution of dust, the corrosion of harmful gas and the influence of high temperature. The present invention can ensure the long term and reliable operation of optical lens.

The invention relates to an informatization management system and method for gravel aggregate production, and belong to the field of automatic production control. The problems that an existing sandstone aggregate production enterprise lags in the production control technology and is high in production management cost are solved. The system provided by the invention comprises a gravel aggregate production and manufacturing execution system (01), a gravel aggregate production automatic control system (02), an industrial Ethernet network system (03), an industrial monitoring system (04), a dispatching and broadcasting system (05) and a production control center (06). According to the invention, by means of the system, the requirement for on-site workers is greatly reduced through centralizedcontrol and state monitoring; through the application of an automation, informatization and Internet of Things remote monitoring system, the system improves the management level and decision-making efficiency, and reduced the investment of production cost.

The invention discloses a dangerous chemical park inspection system and an implementation method thereof. The system comprises a robot body, a cloud system and a mobile terminal, and the method comprises carrying out remote inspection control on the robot body, acquiring monitoring data in a park through the robot body, and performing a data analysis according to the monitoring data in the park togenerate a park inspection result report. According to the invention, monitoring data in a park is firstly acquired by the robot body, a data analysis is then performed on the monitoring data, and apark inspection result report is generated; and the robot body can be remotely controlled through a cloud system and a mobile terminal. Compared with the prior manual inspection mode, the invention has the advantages of improving the real-time performance and efficiency of inspection and reducing the labor cost, and can be widely applied to the technical field of industrial monitoring.

The invention discloses an on-line condition process monitoring method for a plastic injection moulding process, and belongs to the industrial monitoring and fault diagnosis field. The on-line condition process monitoring method comprises the steps: S1 utilizing a sensor to collect the data under various conditions, and forming a training sample set X for modeling; S2 performing data pre processing and normalization to enable the mean value of the training sample set X to be 0 and enable the variance to be 1, and then obtaining a matrix X'; S3 according to the matrix X', applying Gaussian kernel function to calculate and obtain a distance matrix W; S4 standardizing the distance matrix W, obtaining a Markov matrix P (1), obtaining P(t) by making the P(1) to migrate t times, and performing spectral decomposition of the obtained characteristic matrix X' based on the P(t); S5 inputting the characteristic matrix X' and the condition Tq corresponding to various samples into an error back propagation neural network in pairs to receive training, and preserving the neural network model with the highest prediction accuracy as the model for monitoring; and S6 performing practical monitoring. The on-line condition process monitoring method successively realizes on-line monitoring of high dimension data.

The invention discloses a fault detection method based on orthogonal local preservation projection, belonging to the field of industrial monitoring and fault diagnosis. The method comprises the following steps: collecting process data under normal working conditions of an industrial system to form a training set; adopting Maximum Likelihood Estimation Method to determine the eigendimension. adopting The orthogonal local preservation projection method to compute the projection matrix and construct the monitoring statistics. adopting The kernel density estimation method to determine the threshold. acquiring system real-time process data as a test sample, calculating the statistics of the sample, and compared with the threshold, to determine whether there is a fault. The method of the invention is based on data modeling, does not need accurate analytical model, can keep topological structure and local information between data, has simple algorithm and is easy to realize, and can be widelyapplied in the fields of high-speed railway, chemical industry, manufacturing and the like.

The invention provides a trend chart drawing method and device applied to an industrial monitoring system. The drawing method includes the steps that the time span of the production process is divided into a plurality of continuous time units according to the width of a display area; all the data values in the production process are acquired and traversed, and the data values are affiliated to the corresponding time units according to time points corresponding to all the data values; the data values in each time unit are compared so that the maximum value and the minimum value of the data values in each time unit and the sequence of the time points corresponding to the maximum value and the minimum value are determined; the maximum values and the minimum values are drawn in a rectangular coordinate system of the display area to form trend points; the trend points in all the time units are connected with a curve according to the time sequence to form a trend chart. Through the drawing method, the whole variation trend of the production process can be completely displayed in the display area.

A method for joining a wireless node of a field device such as a sensor or actuator to a wireless network connected to an industrial monitoring or control system. A handheld wireless device is utilized including hardware and software for communicating with the wireless node of a field device. A new communication configuration necessary for the new node to use in order to join the wireless network is sent from the handheld device to a new node. A wireless handheld device and an industrial monitoring or control system and a computer program.

The invention discloses an embedded universal plug and play industrial monitoring network database service system. The database service system adopts an embedded universal plug and play middleware technology to realize bulk network data transmission and industrial network control information exchange. The database service system comprises a monitoring target embedded theme database module, a bulk data acquisition network middleware module and a monitoring data query service module. The database service system provided by the invention has strong adaptive capacity, reduced configuration task and improved use ratio.

The invention discloses sensing-transmitting equipment which is used for the monitoring of field control rooms of multiple kinds of sites and the remote monitoring, the management and the data transmission for a remote control center and comprises a sensing and controlling device, a video-monitoring device, a security-protecting device, an attendance-checking device, a communication device and a power-supplying device, wherein the power-supplying device is used for supplying power for the sensing-transmitting equipment. The invention also discloses a managing system applied to the sensing-transmitting equipment, which comprises an application-managing platform, wherein the application-managing platform comprises an intelligent industrial monitoring system, an intelligent report-form statistical-analyzing system, a local-storage managing system, a video-monitoring managing system, a security-protecting integrated-managing system and an integrated network-managing system. The sensing-transmitting equipment and the managing system disclosed by the invention are used for acquiring the production data of field equipment and a sensor, and automatically controlling local equipment and uploading data, so that the operating efficiency of the equipment in the site is improved, the loss of the equipment is effectively reduced, energy sources are saved, and the fault-free operation of the equipment is furthest ensured.

The invention discloses an object depth information acquisition method on the basis of a single-frame compound template and overcomes the defect of long consumed time of an existing time encoding mode. The object depth information acquisition method comprises the following implementing steps: 1, designing the single-frame compound template P; 2, utilizing the single-frame compound template to obtain a deformed image I; 3, demodulating from the deformed image I to obtain two frames of period co-prime square wave templates I1' and I'2; 4, calculating truncation phases Phi1 and Phi2 of each pixel point in the two frames of square wave templates by a Gabor filter; 5, by the truncation phases Phi1 and Phi2, solving a truncation phase development value phi; 6, solving a matched point (x, y) of a pixel point (x', y') in the deformed image I in the single-frame compound template P by phi; 7, according to a geometrical relationship of the pixel point and the matched point, solving a depth information value of an object to be measured. According to the invention, depth information acquiring speed of the object is increased, and depth information acquiring accuracy of the object is improved; the object depth information acquisition method can be used for industrial monitoring, medical science, human-computer interaction and 3D (three-dimensional) printing scenes.

The invention discloses an adaptive-filtering-based rapid multi-circle detection method for an image under a complex background, and belongs to the technical field of computer vision online detection. The Sage-Husa adaptive kalman filtering algorithm is adopted for estimating the center coordinate and radius of each circle feature so as to estimate feature valid areas; in the feature valid area of each circle, after local enhancement of the image, the Canny edge detection algorithm and the least-squares ellipse fitting method are adopted for solving the center coordinate and radius of the circle feature; whether a positioning result is valid is judged according to a result validity criterion; if yes, a feature extraction value is output as a detection result; if not, a feature parameter estimation value is output as a detection result. Time-consuming Hough transformation is thoroughly abandoned in the multi-circle positioning process under the complex background, whether the positioning result is valid is judged before the measuring result is output, different measures are taken for different judgment results, the circle detection speed is substantially increased while precision is guaranteed, and the online monitoring requirement of an industrial monitoring system with a high-definition image sensor can be met.

The invention relates to a wireless data collecting method based on dynamic time slot allocation, and belongs to field of data collecting and wireless communication application. According to the wireless data collecting method, a plurality of wireless collection nodes are evenly distributed around a wireless sink node; transmission timeslots and timeslot lengths of the wireless collection nodes are dynamically controlled by the wireless sink node according to the number of data collected by each collecting node; the timeslot length distributed to each wireless collection node is in direct proportion to the number of data collected by the node; distributed data collecting is achieved by the wireless collecting nodes in cooperation with each other, and data are sent to the wireless sink node; the data are sent to a PC by the wireless sink node and are analyzed and processed by data processing software on the PC, and the result is displayed afterwards. The wireless data collecting method based on dynamic time slot allocation facilitates arrangement and installation, effectively improves data transmission efficiency of a distributed data collecting system, and has wide application prospects in fields like industrial monitoring and military.

The invention provides a wireless Mesh network broadcasting communication method oriented to the industrial monitoring application. A dynamic spanning tree is built and maintained in the network according to the upstream routing and the diffusion of the broadcast message is controlled and restrained by utilizing the dynamic spanning tree: all the leaf nodes on the spanning tree do not need to forward any broadcast message, and the nodes which have the parent nodes and child nodes only need to forward the broadcast message from the parent nodes or child nodes. After the broadcasting method provided in the invention is adopted, the broadcast message is dispersed under a certain restrain, thus firstly greatly lowering the network load and the packet collision and saving the broadcasting communication overhead, and secondly eliminating the unnecessary packet forwarding and reducing the retransmission times of the packet. Therefore, the energy of the field equipment is saved.

The invention relates to a multi-working-condition industrial monitoring method based on dictionary learning. The method comprises the steps of acquiring label-free historical data containing a pure net value, measurement noise and an abnormal value; constructing an unsupervised dictionary learning model based on the label-free historical data; solving a dictionary, a sparse coding matrix and an abnormal value matrix according to the unsupervised dictionary learning model; dividing the dictionary into a plurality of sub-dictionaries according to the production condition information; and acquiring test data, and judging whether the test data is a fault point or not through the sub-dictionary. According to the method, the measurement noise can be suppressed, and the influence of the abnormalvalue is reduced, so that false alarm of faults in industrial monitoring is effectively prevented. Therefore, the accuracy of fault monitoring is improved, and the robustness of the monitoring methodto abnormal values and noise in data is ensured.

The invention discloses a Web Service-based industrial monitoring method. The method comprises the steps of generating original service data according to a preset service generation rule description table when a Web Service data request is received; carrying out conversion and integration on the original service data, and packaging integrated service data into a data packet of a corresponding protocol format according to protocol types; sending the data packet to a corresponding programmable logic controller (PLC), and receiving resource data returned from the PLC; parsing the resource data, packaging successfully-parsed resource data into service data, and returning the service data to a requesting party. The invention further discloses a Web Service-based industrial monitoring device. Due to the adoption of the method and the device, disclosed by the invention, the real-time monitoring and control on an industrial site are realized, the centralized control and check for a production status are facilitated, the extendibility and stability are good, and the production cost for enterprises is reduced greatly.