59 results about "Statistical monitoring" patented technology

The invention provides a cloud application fault diagnosis system based on statistical monitoring. The cloud application fault diagnosis system based on statistical monitoring comprises a monitoring agent, a running status tracker and a fault detection locator, wherein the monitoring agent is used for collecting monitoring information when a cloud application runs; the running status tracker is used for abstracting the running status of the system to be local outlier factors and correlation coefficients; the fault detection locator is used for analyzing the running status of the system according to monitoring data provided by the running status tracker so as to detect a fault and locate reasons of the fault. According to the method, the running status of the system is described from utilization and performance of system resources according to the monitoring data through the local outlier factor and kernel canonical correlation analysis method, the system fault is detected according to a control chart, and abnormal measurements are located through a feature selection method. The method has the advantages that related knowledge of the application such as a software system structure and parameter estimation is not needed, and the method is simple, easy to implement and wide in application range; various faults of the cloud application can be automatically detected without manual intervention, and the abnormal degrees of the measurements can be quantized.

The invention discloses a farm and pasture product information statistical monitoring, tracing inquiry and process tracking system and method based on an Internet of Things technology; the system comprises a database server, a network module and a two-dimensional scanner; the farm and pasture product manufacturing information, quality inspection information, health and epidemic prevention information, logistics information and wholesale and retail information are uploaded to the database server through the two-dimensional scanner, the information in the database server is accessed, recorded, searched and inquired through the network module, and then the farm and pasture product manufacturing information, circulation information and sale information are unifiedly administrated and caculated through the database server, the information of all the data is monitored through the database server, and the supply-demand relationship is compared through the database server. According to the invention, all-process regulation to farm and pasture products can be carried out from manufacturing to sale, so that the farm and pasture product safety regulation system is effectively improved, the farm and pasture product quality level is practically improved, the food safety of consumers is fully ensured, the occurring and harm of food safety accidents are reduced, farmers and herdsmen are helped to carry out production, blind production is avoided, and the phenomenon that prices fluctuate due to the supply-demand relationship of the farm and pasture products is effectively controlled.

The invention relates to a statistical modeling, online monitoring and fault diagnosis technology of a superspeed carton packaging machine BV of the Italian G.D company and discloses a cigarette factory superspeed carton packaging machine multi-condition process online monitoring and fault diagnosis method. According to the method, a stable condition and a transition condition of stability factor identification are calculated based on a slide time window in an offline mode, the stable condition is divided to form a plurality of stable condition data clusters by use of an adaptive k-means cluster method, and then a statistical monitoring model is established independently for each stable condition data cluster by use of a PCA method. During online monitoring, a condition type is determined according to a stability factor of data in a current slide time window, under the stable condition, real-time monitoring is carried out by use of one PCA monitoring model corresponding to a cluster with a minimum distance, when any one statistical amount exceeds a limit, a major process variable causing a fault is determined by use of a contribution graph method, and finally, an effective feasible method is provided for online monitoring and fault diagnosis of the superspeed carton packaging machine BV.

The invention discloses a fingerprint attendance checking system. The system comprises a server and a portable terminal, wherein an attendance checking database is established in the server, a user account is established for each user in theattendance checking database, and user IDs, fingerprints, outgoing destinations and attendance records are established in the user accounts; the portable terminal comprises a fingerprint acquisition module, control modules, a wireless communication module, a GPS module and a prompter, each control module corresponds to an equipment number, the equipment numbers are stored in theattendance checking database in advance and are in one-to-one correspondence with the user IDs, each control module selects a default interval value randomly, users are prompted to input the fingerprints according to the default interval values, and if the users input the fingerprints and address data are matched with the outgoing destinations, attendance information is recorded; if the users input the fingerprints and address data are not matched with the outgoing destinations, absence information is recorded; if the users do not input the fingerprints, the absence information is recorded. By the aid of the system, statistical monitoring of attendance conditions of staff working in other places is effectively realized.

The invention relates to a system for realizing data governance in a big data environment, and the system comprises an environment initialization module which is used for providing basic operation conditions which need to be satisfied by the building of a data sharing platform, i.e., a data sharing platform product assembly, safety and a hardware environment; a data sharing design module which comprises an architecture layer and a core scene and service sharing publishing unit, and is used for providing services to the outside through the architecture layer; and a data governance application module which is used for establishing a data sharing integration platform and integrating the functions of resource integration, operation management, data development, data use, service engine management, scheduling planning, statistical monitoring and service authority configuration. By adopting the system for realizing data governance in the big data environment, the data sharing integration platform at the bottom layer of each business system is established, so that the platform runs through and manages the data of each business system, and the purposes of data exchange and sharing betweenthe respective business systems in governments and enterprises and data governance are achieved, and data value is increased.

The invention discloses a secure internet financial loan right pledge risk assessment method, which relates to the technical field of network credit and loan. The secure internet financial loan right pledge risk assessment method comprises a client default risk assessment method, an internet operation risk assessment method and a supervision assessment method of a transaction platform data protection supervisor. The client default risk assessment method comprises the steps of investigating industrial and enterprise operating performance of a borrowing client, introducing an external offline guarantee mechanism, exchanging information among a plurality of network loan platforms, and establishing a credit database of clients of the network loan platforms. The internet operation risk assessment method comprises the steps of checking whether website deployment applies for a security certificate of the highest level so as to protect personal privacy information. The supervision assessment method of the transaction platform data protection supervisor comprises the steps of checking whether corresponding laws and regulations as well as a market access mechanism are established, whether a statistical monitoring system and a credit investigation mechanism are established, and whether fund supervision is in place. The secure internet financial loan right pledge risk assessment method decreases client default risks, decreases average charge-off rate of banks, decreases website operation risks, decreases supervision risks of the supervisor, and is suitable for petty internet loans.

A statistical power indication monitor including a random pattern generator that generates random sample assertions of a sample signal, a total counter that counts a total number of the random sample assertions within a sample time interval, detect logic that provides a detection signal for each power indication signal that is asserted coincident with the sample signal, and counter logic that counts a number of assertions of each detection signal during the sample time interval. The assertion count of each power indication signal divided by the total count provides a statistical indication of power consumption of a corresponding system. A user may use the statistical monitoring information to adjust system or application operation. The random pattern generator may be a pseudo-random pattern generator including a linear feedback shift register and may have programmable seed and sample rate.

The invention provides a water quality monitoring method. The method is characterized by comprising the seven steps of performing early-stage place survey; performing statistics on monitoring points;planning sampling time and a sampling frequency; uploading sampling data to a cloud end; connecting a client to the cloud end for sharing the data; processing and analyzing the sampling data; and creating a result report table. In combination with a modern developed electronic information technology, and by use of water quality monitoring terminal equipment management sensors including a temperature sensor, a filter photometer, a PH value sensor, a dissolved oxygen sensor, a conductivity meter, a water flow sensor, a heavy metal sensor and a wireless communication module, the water quality canbe detected in real time, and personnel do not need to carry out on-site detection for multiple times; water quality information can be fully detected through various sensor modules, and the personnel remotely utilize a computer to obtain, arrange and analyze the data, so that all-directional detection on the water quality can be realized; and therefore, the manpower and material resources can besaved, the timeliness of water quality detection is enhanced, and the technical problem of comprehensive water quality detection is solved.

The invention discloses a passenger flow statistical monitoring system for smart supermarkets. The system comprises a video monitoring module, an image analysis module, a data service module and a data display module. Video monitoring is arranged on supermarket entrances and exits, and based on a face recognition technology, information in entrance and exit video monitoring is identified and identified, so that passenger flow conditions are counted in real time and are analyzed. The system can display the traffic flow and the current popular commodity area in real time. Potential items that may be purchased, as well as advertising concerns, and record fine-grained customer behavior information, including the length of stay in each product area and whether or not to pick up items, which cansupport subsequent accurate marketing for customers, as well as using the information to improve the user's shopping experience can increase customer stickiness. In summary, the system can provide assistance for the management, sales and investment of supermarkets.

The invention relates to the technical field of water conservancy safety monitoring, in particular to a safety monitoring data intelligent reorganizing and analyzing system based on cloud service. Thedata collection layer is used for acquiring dam safety monitoring original data in real time; the data conversion layer is used for uploading the dam safety monitoring original data to the cloud service platform; the cloud service platform is used for realizing cloud storage; the service application layer is used for performing data management, data statistics, monitoring data analysis, safety analysis and system management; the service application layer comprises a monitoring data analysis module, and the monitoring data analysis module is used for carrying out data inspection, abnormal dataprocessing, time sequence analysis and correlation analysis on the safety monitoring original data, eliminating gross errors through analysis and carrying out change process analysis on reorganized data in combination with a time sequence. Data storage management, data error correction, arrangement and calculation are realized, the problem of surface deformation observation of a reservoir management unit is solved, and the efficiency and accuracy of safety monitoring are improved.

The invention is suitable for the field of software products and provides a method and a system for controlling and managing software. The invention provides a software enablement platform, which is characterized in that through control and statistical monitoring on encryption and decryption algorithms, enablement and management on the software products are realized. The method for controlling and managing the software comprises the following steps that 1, a software enablement mode is selected, and the encryption and decryption algorithms provided by the enablement platform can be arbitrarily selected by the software; 2, enablement control can be performed according to various enablement forms required by software vendors; 3, control and management on the software are performed; an algorithm software control module has a timing statistical function, a metering statistical function, a machine monitoring function and the like; the enablement running of the software is monitored at any time by the algorithm software control module so as to achieve the goal that the software is controlled and managed; 4, the unified enablement platform can be adopted by multiple software; distribution keys are different, and multiple algorithm control software products which correspond to the distribution keys are different.

The invention provides an electric power carbon emission trajectory analysis method and device, and relates to the technical field of electric power system carbon emission analysis, and the method comprises the steps: obtaining technical factors, economic factors and environmental factors affecting carbon emission, and carrying out the construction of a carbon emission system kinetic model based on the technical factors, the economic factors and the environmental factors; constructing a carbon emission model of an energy power supply side, a carbon emission model of a power transmission and distribution system and a carbon emission model of a power utilization side based on the kinetic model; and acquiring electric energy emission data, and based on the carbon emission model of the electric power supply side, the carbon emission model of the power transmission system and the carbon emission model of the power utilization side, acquiring the carbon emission of the electric power production side, the carbon emission of the electric power consumption side, the carbon emission of the electric power transmission and distribution system and the carbon emission trajectory analysis of the economic-electric power system by using a trajectory tracking algorithm. According to the invention, accurate statistics, monitoring and examination can be carried out on carbon emission indexes, a target influencing enterprise carbon emission reduction decomposition is analyzed, and a carbon emission index system is constructed.

The invention belongs to the technical field of automobile component production statistics, and provides a PRM production work confirmation system comprising a total statistical terminal, an equipment work confirmation side, a personnel work confirmation side, a webpage work confirmation side and a barcode generation side. The advantages of the PRM production work confirmation system are that real-time statistical monitoring can be performed on equipment and personnel work confirmation through the system so that managers can check in real time and timely and efficiently process the situations and the problems of tasks, and thus efficient resource allocation can be performed; and the standard work hours of the project can be acquired, the employee performance can be assessed, the labor cost of the project can be accounted, and thus the labor cost of the project can be reduced and the work efficiency of the employees can be enhanced.

The invention relates to a monitoring system which controls monitoring media and comprises a soft switching controller, a monitoring gateway and a monitoring center, wherein the monitoring gateway and the monitoring center are connected through a trunk interface; the soft switching controller controls the media connection process of the monitoring gateway through an H.248 signaling. The invention, on the basis of the system, also provides a monitoring method capable of controlling monitoring media, wherein the method comprises the following steps that: monitoring correlation is created on the monitoring gateway to realize statistical monitoring; then, the statistical monitoring mode is converted to a separate monitoring mode or a hybrid monitoring mode. The monitoring system and the monitoring method, which realize the function of changing monitoring modes without influencing subscriber call during soft switching, not only completely realize the monitoring function under the prior exchange mechanism in the NGN field, but also more conveniently realize the new service function of monitoring a subscriber.

The invention discloses a monitoring method for the electromagnetic immunity of a CMOS inverter. A monitoring circuit adopted is mainly composed of the inverter, a comparator, an exclusive-OR gate, amultiplier, a counter, a display and the like. The monitoring method refers to a method for error code detection of a communication system, a more intuitive statistical monitoring way is adopted, an output signal of the inverter with electromagnetic interference and an output signal of the inverter without the electromagnetic interference are taken as two input ends of the exclusive-OR gate, if the level values of the two signals are different, the output of the exclusive-OR gate is high level, and the number of high levels output by the exclusive-OR gate is recorded and displayed. The monitoring method can obtain the abnormal operation of the inverter and the degree of abnormal operation in real time and quantitatively under certain electromagnetic interference.

The invention provides a health detection door pavilion system. The health detection door pavilion system comprises a health detection door pavilion, a background server and a mobile terminal, and thehealth detection door pavilion comprises a door body, a door lock, a microprocessor, an identity recognition module, a body temperature detection module, a wireless communication module and a power module. The health detection door pavilion is used for obtaining identity information of people to be inspected and corresponding body temperature detection results. The background server is used for receiving and processing the identity information and the corresponding body temperature detection results, counting the body temperature detection results of all people to be inspected within a presettime period, generating a corresponding body temperature detection report and transmitting the body temperature detection report to the mobile terminal; and the mobile terminal is used for receivingand displaying the body temperature detection report. Compared with the prior art, the health detection door pavilion system can perform identity recognition, a body temperature detection function andan inspection reminding function, and can automatically report the functions to a background server for statistical monitoring, so that the purpose of further improving the intelligent degree of health detection is achieved.

The invention discloses an Internet financial platform credit risk monitoring method and device and electronic equipment. The invention relates to the technical field of internet information processing. The Internet financial platform credit risk monitoring method realizes distributed statistics of information flows based on a server cluster, and takes a first statistical server as an initiating end of the distributed statistical processing request, so as to enable a second statistical server and the first statistical server to carry out synchronous processing. Therefore, the information flowprocessing efficiency is improved. When the first statistical server receives the second target information code, whether the second statistical server passes the information security verification canbe determined, so as to ensure that the received second target information code can be accurate and reliable; and reverse sharpening processing is performed on the third pulse signal, so that configuration difference between the first statistical server and the second statistical server can be effectively eliminated, and then an accurate and complete distributed statistical monitoring result canbe determined, and the efficiency and reliability of information flow processing can be ensured.

The invention belongs to the technical field of application data statistics, and particularly relates to an application information obtaining method and apparatus. The application information obtaining method comprises the steps of S1, installing a virtual machine in a client installed with an application store, and simulating the clicking of an application in the application store through the virtual machine; S2, capturing a data package returned by the application store; S3, analyzing information in the data package; and S4, according to data obtained by analysis, obtaining application information used for subsequent statistics. According to the application information obtaining method and apparatus, the statistical monitoring range is expanded; the application information obtaining efficiency is improved; and the application information accuracy can be ensured.

The invention discloses a control device and a control method of a vacuum drainage pumping station. The control device comprises a signal input module, an analyzing module, an execution module and an information output device. The analyzing module is respectively connected with the signal input module, the execution module and the information output module; the execution module is respectively connected with a power source, a vacuum pump and a sewage pump; and the information output device is used for displaying parameters of the system to the outside and for giving out alarm information. The control method includes the steps of: 1) online measuring and statistical monitoring of the gas-water ratio Kt in a statistical period by using the analyzing module; 2)conducting corresponding control operation to working vacuum degree, and realizing dynamic compensation of the vacuum degree and the automatic adjustment of the gas-water ratio; 3) monitoring the vacuum degree Vpt inside a vacuum pot, the sewage level Hlt and the operating state of the sewage pump, and conducting corresponding operations to the operation of the vacuum pump and the sewage pump to control the vacuum pump and the sewage pump in sections; and 4) conducting corresponding control operations to the vacuum pump and the sewage pump.

A method for central monitoring of a research includes the steps of creating and storing a database consisting of datasets generated during the research, preprocessing the database to remove variables that are unsuitable for analysis, extracting metadata from the database to identify types of the variables, storing the preprocessed datasets and corresponding metadata in a statistical database, executing statistical tests on a data collection center by data collection center basis to detect abnormalities and patterns present in datasets, creating and storing a matrix containing p-values based upon the executed statistical tests, identifying any outlying data collection centers by summarizing the p-values, determining if any of the executed statistical tests are faulty and removing such faulty executed statistical tests from the matrix to create a filtered matrix, and computing an overall p-value score.

The invention discloses a combined monitoring and product management system, and the system comprises an account management module, a combined management module and a transaction management module. The system employs a distributed computing mode, achieves the synchronization of the real-time market information, and achieves the millimeter-level data delay. The system provides 140 real-time statistical monitoring indexes, and a user can freely select the to-be-checked statistical index according to his demands. The monitoring data has two sources: the signal automatic access via a strategy model, and the automatic computing and monitoring through the batch importing of the transaction record data. A valve supports multi-account management, and a product and combination correlation mode is employed for automatically calculating the product performance. The system supports the grouped statistics of a plurality of combinations, and achieves the splicing and monitoring of any combinations.If there is a need for the early-warning notification of the combinations, the system can click an early-warning notification button, and can start the early-warning notification through the scanningof a QR code, thereby achieving the early warning.

The invention relates to a statistical monitoring method for citric acid fermentation liquefaction clear liquid based on near infrared spectroscopy. The method comprises the following steps: acquiringand preprocessing input and output data, dividing a data set into two parts, namely marked data and unmarked data, establishing a semi-supervised PPLS model, and calculating monitoring indexes. The method has the beneficial effects that the values of total sugar and total nitrogen are analyzed by mainly adopting manual sampling in the citric acid liquefaction clear liquid process, then the operation state of the process is judged according to the operation experience, an alarm is given afterwards, the alarm can be given only after the product quality is changed, a large amount of waste is caused, and the subsequent citric acid fermentation production is influenced. According to the method, the near infrared spectrum is introduced to detect the process of liquefying the clear liquid by thecitric acid, so that statistical monitoring is realized.

The invention discloses a remote education system based on a cloud platform, and the system employs a data collection module to collect the behavior information and network information of students inclass, and transmits the behavior information and network information to a behavior analysis module and a network analysis module through a data transmission module; the behavior information is received and analyzed by utilizing a behavior analysis module to obtain behavior analysis information; the network information is received and analyzed by using a network analysis module to obtain network analysis information; the behavior analysis information and the network analysis information are received and processed by using an identification adjustment module to obtain processed adjustment data;the overall situation of the students in class is counted by using a counting and monitoring module and a monitoring result of the class order is generated; and the system is used for solving the problems that the class state of a student cannot be monitored, analyzed and obtained according to the action of the student in class, and the class condition of the student cannot be analyzed accordingto the network condition of internet surfing.

The invention discloses a public fitness utilization efficiency statistical monitoring system based on big data, and relates to the technical field of public fitness facilities. According to the public fitness utilization efficiency statistical monitoring system based on big data, a novel green intelligent fitness system is designed by using Internet +, big data and an efficiency statistical monitoring system technology, and achieves the functions of collecting fitness data of a user and uploading the fitness data to a cloud server, the user can check the exercise data and ranking informationof the user at any time through a mobile phone APP to achieve data sharing, the problem of data explosion growth in the whole fitness industry after internet + and fitness are fully combined is solved, massive fitness data is processed by establishing a big data platform, and a machine learning algorithm is used on the big data platform to analyze the collected user exercise data, so that the hidden value in the data is found, and the user experience is improved.

The invention discloses an automatic statistical monitoring device for the number of insects for an agricultural IOT (Internet of Things), and belongs to the technical field of the agricultural IOT. The device consists of an electric insect counter (1), an insect collection box (2), a dome (3), a solar cell panel (4), an insect inducing black light lamp (5), a connection plate clamp (6), a box bottom support (7), an inter-frame slit (8), a supporting column (9), a vertical column tip (10), an insect collection bag (29), an insect storage bag mouth (31), and an insect storage bag (32). The device is characterized in that the number of electric insect sound generation nets (12) is 3-5, and each electric insect sound generation net (12) form an inclined surface; a sound probe (14) can form asignal record through the recording of crack sound generated when insects touches the electric insect sound generation nets (12) and are electrically shocked, and a networking signal processor (15) transmits the signal to the outside for networking; a control box (18) is provided with a switch. The device is simple in manufacturing, is high in operability, is low in cost, and is remarkable in effect.

This specification discloses a method, device and electronic equipment for monitoring credit risk of an Internet financial platform, which relate to the technical field of Internet information processing. The method realizes distributed statistics on information flow based on server clusters, and the first statistics server serves as a distributed statistics processing request. The initiating end of the server can make the second statistics server perform synchronous processing with the first statistics server, thus improving the efficiency of information flow processing, and the first statistics server can determine the second statistics server in the process of receiving the second target information code. Whether the information security verification is passed, so as to ensure that the received second target information code is accurate and reliable, and performing reverse sharpening processing on the third pulse signal can effectively eliminate the configuration between the first statistics server and the second statistics server. Therefore, accurate and complete distributed statistical monitoring results can be determined, thereby ensuring the efficiency and reliability of information flow processing.

The invention relates to a statistical modeling, online monitoring and fault diagnosis technology of a superspeed carton packaging machine BV of the Italian G.D company and discloses a cigarette factory superspeed carton packaging machine multi-condition process online monitoring and fault diagnosis method. According to the method, a stable condition and a transition condition of stability factor identification are calculated based on a slide time window in an offline mode, the stable condition is divided to form a plurality of stable condition data clusters by use of an adaptive k-means cluster method, and then a statistical monitoring model is established independently for each stable condition data cluster by use of a PCA method. During online monitoring, a condition type is determined according to a stability factor of data in a current slide time window, under the stable condition, real-time monitoring is carried out by use of one PCA monitoring model corresponding to a cluster with a minimum distance, when any one statistical amount exceeds a limit, a major process variable causing a fault is determined by use of a contribution graph method, and finally, an effective feasible method is provided for online monitoring and fault diagnosis of the superspeed carton packaging machine BV.

The invention provides a cloud application fault diagnosis system based on statistical monitoring. The cloud application fault diagnosis system based on statistical monitoring comprises a monitoring agent, a running status tracker and a fault detection locator, wherein the monitoring agent is used for collecting monitoring information when a cloud application runs; the running status tracker is used for abstracting the running status of the system to be local outlier factors and correlation coefficients; the fault detection locator is used for analyzing the running status of the system according to monitoring data provided by the running status tracker so as to detect a fault and locate reasons of the fault. According to the method, the running status of the system is described from utilization and performance of system resources according to the monitoring data through the local outlier factor and kernel canonical correlation analysis method, the system fault is detected according to a control chart, and abnormal measurements are located through a feature selection method. The method has the advantages that related knowledge of the application such as a software system structure and parameter estimation is not needed, and the method is simple, easy to implement and wide in application range; various faults of the cloud application can be automatically detected without manual intervention, and the abnormal degrees of the measurements can be quantized.