30 results about "Diagnosis evaluation" patented technology

The invention relates to an intelligent acupuncture diagnosis and treatment system, which comprises an information acquisition module, a data center, a diagnosis module and a treatment module, whereinthe information acquisition module comprises a traditional Chinese medicine detection module and a Western medicine detection module, and the traditional Chinese medicine detection module comprises ameridian and acupoint information acquisition device; the data center comprises a database and a data mining module, the data mining module establishes a diagnosis mathematical model and a treatmentmathematical model; the data center receives and analyzes the detection information obtained by the information acquisition module to generate a detection report; the diagnosis module comprises a traditional Chinese medicine diagnosis evaluation module and a Western medicine diagnosis evaluation module; the diagnosis module generates diagnosis information according to the detection report and thediagnosis mathematical model; the treatment module comprises a traditional Chinese medicine treatment suggestion module and a Western medicine treatment suggestion module; and the treatment module generates treatment information according to the diagnosis information and the treatment mathematical model, and the treatment information comprises acupuncture treatment acupuncture point combinations.The system can improve the accuracy of acupoint positioning, diagnosis and treatment.

A safety controller for controlling an automated installation has a control unit to which a plurality of control input signals are supplied from the sensors of the installation. The control unit produces a plurality of control output signals on the basis of the control input signals in accordance with a user program running in said control unit in an automatic mode. The plurality of control output signals actuate the actuators. The safety controller also has a diagnosis evaluation unit that ascertains which one of a plurality of operating states is present at a defined instant of time and produces an operating state signal which represents the ascertained operating state. A diagnosis selection unit generates a diagnosis report as a function of the operating state signal and as a function of a user access authorization signal and / or a special operating mode signal. The diagnosis report representing the ascertained operating state thus varies depending on specific circumstances, such as a certain user access authorization or a certain operating mode.

A safety controller for controlling an automated installation in accordance with a user program has a control unit receiving a plurality of control input signals from a plurality of sensors. The control unit produces a plurality of control output signals on the basis of the control input signals in accordance with a user program. The control output signals drive actuators in order to adopt one of a plurality of installation states of the automated installation. An installation diagnosis evaluation unit produces a number of installation state signals representing which one of the plurality of installation states is existent at a defined moment of time. In addition, a system diagnosis evaluation unit produces a number of system state signals, with each system state signal representing one from a plurality of operational system states of the controller system, which is formed by the control unit and its connected sensors and actuators, at the defined moment of time. A diagnosis report unit produces a number of diagnosis signals depending on the installation state signals, depending on the system state signals, and depending on predefined associations between said installation states and said operational system states. The diagnosis signals represent a number of diagnosis reports which are a result of a combination of both the installation states and associated operational system states. A display unit displays the diagnosis reports in response to the diagnosis signals.

The invention belongs to the technical field of evaluation and diagnosis on coal mine safety production and a power device operation state and discloses an optical fiber composite cable expert diagnosis system based on multiple parameters, which comprises a temperature and positioning measurement system, a local discharge quantity measurement system, a dielectric loss measurement system, an elongation at break measurement system, a mechanical stress measurement system, an expert diagnosis host system and a host computer. According to the optical fiber composite cable expert diagnosis system based on multiple parameters, temperature monitoring and early warning, continuous optical fiber composite cable operation temperature monitoring and accurate positioning, online monitoring and diagnosis evaluation on electrical parameters such as the local discharge quantity and the dielectric loss, and monitoring and diagnosis evaluation on mechanical parameters such as the elongation at break and the mechanical stress can be realized, defects in the prior art are broken through, high-efficiency, accurate and multi-parameter comprehensive diagnosis evaluation of the expert diagnosis system is thoroughly executed, the operation state of the optical fiber composite cable is monitored to the maximum degree, and the targets of accurate optical fiber composite cable service life prediction and high-efficiency and safe application are realized.

A safety controller for controlling an automated installation which has a plurality of sensors and a plurality of actuators, comprises a control unit to which a plurality of control input signals are supplied by the sensors. The control unit produces a plurality of control output signals in an automatic mode on the basis of the control input signals in accordance with a user program running in said control unit. The plurality of control output signals is used to actuate the plurality of actuators. The safety controller also has a diagnosis evaluation unit to which a number of diagnoses input signals are supplied. The diagnosis evaluation unit takes the diagnosis input signals as a basis for ascertaining which of a plurality of operating states is present at a defined instant of time. The diagnosis evaluation unit produces an operating state data record which represents an ascertained operating state. The safety controller also has an interface for a display unit in order to display diagnosis reports. The operating state data record includes a plurality of diagnosis data and a Boolean status indicator. The control unit actuates at least one actuator on the basis of the Boolean status indicator contained in the operating state data record.

The invention relates to a regulation valve cavitation diagnosis system and method. A regulation valve testing pipeline system comprises a multistage centrifugal pump, a multistage centrifugal pump frequency changer, a to-be-tested regulation valve of a diagnosed object, an upstream stop valve, a downstream throttle valve and a system pipeline to be tested, wherein the multistage centrifugal pumpis used for providing relative pressure; the multistage centrifugal pump frequency changer is used for regulating the revolving speed of the multistage centrifugal pump; and the upstream stop valve and the downstream throttle valve are respectively arranged in front of and behind the to-be-tested regulation valve. According to the invention, through adopting the above technology, upstream pressurein front of the to-be-tested regulation valve, downstream pressure behind the to-be-tested regulation valve, Z-axis vibration acceleration behind the to-be-tested regulation valve and flow in front of the to-be-tested regulation valve are utilized for calculating and judging whether cavitation happens or not; through a cavitation diagnosis device, the cavitation parameters of the regulation valveunder a certain aperture are diagnosed, so that a condition for cavitation under a current regulation valve aperture can be accurately obtained, and the effectiveness value of the vibration acceleration, working condition parameters, cavitation parameters and cavitation severity coefficients can be solved, so that the cavitation diagnosis evaluation of the regulation valve is realized.

The invention discloses distribution network equipment state maintenance based on a big data fusion analysis model. Operation of a device, the use and the environment state are monitored; the currentactual working conditions of a large amount of equipment are taken as the basis; through a state monitoring and diagnosis evaluation means, the state of the equipment is judged, the premature symptomof a fault is identified, a fault part, the severity degree of the fault part and the fault development trend are judged, and according to an analysis and diagnosis result, maintenance is actively carried out before the performance of the equipment is reduced to a certain degree or the fault is about to happen.

The invention discloses a power distribution network current situation assessment and diagnosis method based on a layered radar map method. The method comprises the following steps: obtaining historical data of a power distribution network current situation assessment index; synthesizing a fuzzy analytic hierarchy process and an anti-entropy weight method to obtain a comprehensive weight of the current situation diagnosis index of the power distribution network, and calculating subjective and objective weights of a classification layer; and drawing a radar map according to the comprehensive weight of the current diagnosis index of the power distribution network, and taking the radar map area as the current diagnosis evaluation value of the power distribution network. According to the method, visualization of diagnosis and evaluation of the power distribution network is achieved, and therefore the purpose of visual evaluation and diagnosis is achieved. Therefore, a rapid and efficient method is provided for power distribution network assessment and diagnosis workers.

A safety controller for controlling an automated installation in accordance with a user program has a control unit receiving a plurality of control input signals from a plurality of sensors. The control unit produces a plurality of control output signals on the basis of the control input signals in accordance with a user program. The control output signals drive actuators in order to adopt one of a plurality of installation states of the automated installation. An installation diagnosis evaluation unit produces a number of installation state signals representing which one of the plurality of installation states is existent at a defined moment of time. In addition, a system diagnosis evaluation unit produces a number of system state signals, with each system state signal representing one from a plurality of operational system states of the controller system, which is formed by the control unit and its connected sensors and actuators, at the defined moment of time. A diagnosis report unit produces a number of diagnosis signals depending on the installation state signals, depending on the system state signals, and depending on predefined associations between said installation states and said operational system states. The diagnosis signals represent a number of diagnosis reports which are a result of a combination of both the installation states and associated operational system states. A display unit displays the diagnosis reports in response to the diagnosis signals.

A method of determining a suitable evaluation time for a diagnosis method for the diagnosis of a component, wherein the diagnosis method is based on at least one measured sensor value and at least one modeled comparative value (cOBDsim), wherein the method comprises: replacing, in the diagnosis method, at least one measured sensor value with a calculated model value (cBPU), where the model (20) for the calculation of the model value is a model of the component in a state that is to be recognized by the diagnosis method; executing (102, 104, 106) the diagnosis method with the calculated model value; obtaining a result value (aOBDsim) of the diagnosis method; repeating the preceding steps until the result value attains a defined threshold value; and fixing the suitable evaluation time in the diagnosis method as the time after which the result value has attained the threshold value.

The invention discloses a state evaluation method of a hydropower plant computer monitoring system. The method comprises a step of respectively initiating an upper computer state evaluation model and a lower computer state evaluation model which are provided with hydropower plant computer monitoring systems and establishing the corresponding classification diagnosis evaluation table, respectively detecting the actual degradation degree of each evaluation program and obtaining a basic deduction value, and multiplying the basic deduction value with the weight coefficient corresponding to the evaluation program to obtain the actual deduction value of the evaluation program, a step of comparing the actual deduction value of each evaluation program in each program classification with the classification diagnosis evaluation table and judging the diagnosis state corresponding to each program classification, and a step of obtaining the diagnosis state with the highest severity degree as the final evaluation result of the upper computer / lower computer of the hydropower plant computer monitoring system. According to the state evaluation method, the running state of the hydropower plant computer monitoring system can be comprehensively evaluated, the influence on a hydropower plant and even the stable operation of a power system by fault expansion is prevented, and the examination and maintenance cost can be greatly reduced.

The invention discloses a coal and gas highlight real-time prewarning method based on multi-source information fusion. The coal and gas highlight real-time prewarning method comprises the following steps that an advanced knowledge base is built up; judging criteria of a highlight dangerous single index are built up; various highlight dangerous prediction information is collected; multi-level fusion is conducted on the collected various information; real-time evaluation and level early prewarning of dangerousness are highlighted; and the dangerousness prevention is highlighted. According to thecoal and gas highlight real-time prewarning method, aiming at different characteristics of difference and prediction methods of highlight sensitive indexes represented by highlight dangerousness in different mines, after diagnosis evaluation is conducted on equipment monitoring and manual inspection detection information based on highlight omens from different information sources, real-time prediction of multi-source information fusion is conducted by utilizing an information fusion theory and a time-space coupling mechanism, so that precise prewarning information is provided, the wideness and real-time performance of collection of omen information before highlight happening are improved, and the accuracy of highlight dangerousness prediction is improved greatly.

Evaluation of VLP-I levels in combination with at least one of amyloid-β peptide (AB), hyperphosphorylated tau (pTau) or total tau (tTau) levels in samples of biological fluid improves the accuracy of diagnosis of Alzheimer's disease.

A method of determining a suitable evaluation time for a diagnosis method for the diagnosis of a component, wherein the diagnosis method is based on at least one measured sensor value and at least one modeled comparative value (cOBDsim), wherein the method comprises: replacing, in the diagnosis method, at least one measured sensor value with a calculated model value (cBPU), where the model (20) for the calculation of the model value is a model of the component in a state that is to be recognized by the diagnosis method; executing (102, 104, 106) the diagnosis method with the calculated model value; obtaining a result value (aOBDsim) of the diagnosis method; repeating the preceding steps until the result value attains a defined threshold value; and fixing the suitable evaluation time in the diagnosis method as the time after which the result value has attained the threshold value.