8 results about "Pump failure" patented technology

An apparatus, method, and system for detecting an over-infusion of a fluid due to a mechanical failure of an infusion pump. A pressure sensor of an infusion pump measures a pressure of a fluid in an infusion line loaded into the pump over at least a portion of a pumping cycle. The pumping cycle includes application of at least one occluder and at least one pumping finger to the infusion line to move the fluid through the infusion line. A control unit associated with the pump determines a metric based on measuring the pressure over the at least the portion of the pumping cycle, determines whether the metric satisfies a fault threshold corresponding to a pump fault and, responsive to the determination, provides an alert indicating the pump fault and terminates or reduces the pumping of the fluid through the infusion line.

This invention discloses an electromagnetic pump for solving the problem of outlet plug adhesion, comprising: an inlet structure, an electromagnetic structure, and an outlet structure. One end of the inlet structure is connected to one end of the outlet structure, and the electromagnetic structure is sleeved outside the inlet structure. A sleeve with a water hole is provided between the inlet and outlet structures, and an outlet plug is provided inside the outlet structure. The outlet structure includes a pin mechanism on its side wall, comprising: a sleeve, a pin inside the sleeve, and a return spring. The pin moves radially along the outlet plug, and the return spring abuts against the outside of the pin and the outlet structure. After the pin pushes the outlet plug, it is reset by the return spring, thus detaching the outlet plug from the inlet structure. This invention solves the problem of pump failure and pump stoppage caused by outlet plug adhesion during reuse, avoiding the risk of pump performance failure and extending the pump's service life.

The application provides an emulsifying pump and an emulsifying pump fault monitoring method. The emulsifying pump comprises an emulsifying pump body and a fault monitoring device. One end of a feed pipe is connected with the emulsifying pump body. A sealing plate is arranged at a communication position between an impurity collecting cavity and a filtering cavity in an openable and closable mode. At least a part of a discharge pipe is communicated with a discharge cavity, so that the material filtered by a first filtering plate flows into the discharge pipe, and the filtered impurities are left on the first filtering plate. A blowing assembly is located on opposite sides of the containing cavity with the impurity collecting cavity. The blowing assembly is communicated with the containing cavity. The sealing plate is switched from a closed position to an open position. The blowing assembly blows air into the filtering cavity, so that the filtered impurities on the first filtering plate are blown into the impurity collecting cavity. At least a part of a fault monitoring system is arranged in the impurity collecting cavity, so as to detect the total amount of impurities generated by the emulsifying pump, and an alarm is given when the total amount of impurities exceeds a standard. The application solves the problem that the fault of the emulsifying pump in the prior art cannot be known in time.

This utility model discloses a chemical reagent injection system, which includes a dosing assembly comprising a solution tank, a first delivery pipe, a pump, a second delivery pipe, a first valve, a second valve, and a first venting assembly. The solution tank, the first delivery pipe, the pump, and the second delivery pipe are sequentially connected, with the second delivery pipe connected to the dosing system. The first valve and the second valve are both located on the first delivery pipe. The first venting assembly includes a main venting line, a third valve, and a calibration column. The main venting line is connected to the first delivery pipe between the first valve and the pump, forming a U-shaped connecting pipe structure. The third valve and the calibration column are respectively located on the main venting line. This utility model solves the problem of pump failure during hydrazine injection, increases pump redundancy, and reduces the risk of the hydrazine value in the secondary loop exceeding the specified limit.

Device, method, and system for detecting overinfusion of a fluid due to a mechanical failure of an infusion pump. A pressure sensor of an infusion pump measures the pressure of a fluid in an infusion line loaded into the pump over at least a portion of a pump cycle. The pump cycle includes applying at least one occluder and at least one pump finger to the infusion line to move the fluid through the infusion line. A control unit connected to the pump determines a measured value based on the pressure measurement over the at least one portion of the pump cycle, determines whether the measured value meets an error threshold corresponding to a pump failure, and, in response to this determination, issues a warning indicating the pump failure and stops or reduces the pumping of the fluid through the infusion line.

The disclosure provides a vacuum pump fault prediction and health management method, the method comprising: collecting multi-source data during the operation of the vacuum pump; extracting feature parameters representing the running state and fault characteristics of the vacuum pump from the multi-source data through feature engineering; inputting the feature parameters into a fault prediction model based on LSTM to obtain the fault type and probability of occurrence of the vacuum pump in the future; inputting the feature parameters into a health state evaluation model based on SVM to obtain the health state grade of the vacuum pump. Through data mining and machine learning, the disclosure realizes the intelligentization and refinement of vacuum pump fault prediction and health management.

This application discloses a method for predicting pump failures and related products. The method includes: real-time acquisition of vibration signals from the target pump; obtaining preliminary fault diagnosis results based on the vibration signals, a vibration spectrum baseline library, and a fault feature rule library; the vibration spectrum baseline library includes the baseline spectra of the target pump under various operating conditions; and cross-validating the preliminary fault diagnosis results to obtain the final fault diagnosis results. The vibration spectrum baseline library of this application overcomes the problem of insufficient adaptability of general thresholds or templates in multi-operating-condition scenarios, enabling accurate identification of early, subtle faults. The cross-validation mechanism significantly reduces the vulnerability of a single diagnostic path and significantly improves the robustness and reliability of the final fault diagnosis results. Overall, this application achieves a leap from "single-point judgment" to "multi-dimensional collaborative verification," effectively controlling the false alarm rate while ensuring high sensitivity.

Machine learned neural networks or machine learning algorithms may be used in a variety of healthcare methods and systems, such as those relating to drug delivery, drug therapies, and / or infusion pumps. The machine-learned neural networks may receive and process data to provide one or more outputs, such as recommended dose limit settings, potential adverse events, medication misuses, occlusion occurrences, extravasations and / or disconnections, pump failures, and maintenance needs. The machine learning algorithms may be trained on a corpus of relevant data to identify recommended dose limit settings, potential adverse events, medication misuses, occlusion occurrences, extravasations and / or disconnections, pump failures, and maintenance needs.