219 results about "Mass sensor" patented technology

The invention discloses a mixed emulsion explosive one-key production control method and system, and relates to the field of automatic and intelligent control. By means of automatic and intelligent control means, the problems of low efficiency, high cost, quality fluctuation, process uncertainty and the like in traditional mixed emulsion explosive production are solved, accurate feeding of raw materials is achieved through a quality sensor array and a PID control algorithm, and the production efficiency is improved. The stability of production parameters is ensured through multi-sensor data fusion and an advanced control algorithm, so that the consistency of product quality is improved; meanwhile, a feedback control loop and a continuous learning mechanism are established, closed-loop control in the production process is achieved, technological parameters are optimized, the production stability and reliability are ensured, the production efficiency and the product quality are remarkably improved, and the labor cost is reduced.

The invention discloses a laboratory resource efficient allocation method based on big data analysis, and relates to the technical field of laboratory resource management.The method comprises the following specific steps that microenvironment parameters are monitored and collected, comprising a temperature and humidity sensor, an air quality sensor, an illumination intensity sensor and an electromagnetic interference intensity sensor, a dynamic association model of external environment and laboratory resource demands is established by using a big data analysis technology, so that a complex relationship between external environment change and laboratory resource demands is accurately analyzed; a powerful basis is provided for scientific and reasonable resource allocation, so that a laboratory can more accurately predict and judge the demand degree of each resource and the allocation priority under different external environment conditions, unreasonable allocation and waste of the resources are avoided, and the resource allocation efficiency is remarkably improved.

Systems, methods, and computer-readable media for calibrating air quality sensors are provided. A sensor node includes a sensor node printed circuit board, a sensor module, and a communication module. The sensor node printed circuit board manages power of the sensor node circuitry, the sensor module, and the communication module such that power is provided from a primary power supply supplemented by a secondary power supply. The sensor module includes a plurality of air quality sensors to measure the concentration of air pollutants. The sensor module may be replaceable. The communication module may communicate air quality measurements to and receive configurations from a data management platform, which may perform processes to improve the accuracy of the air quality measurements.

The invention discloses an AC / DC power distribution network power quality control method and device, and the method comprises the steps: collecting power quality data in an AC / DC power distribution network, carrying out the feature analysis of the power quality data, and obtaining a current feature parameter and a voltage abnormality identifier; carrying out differential compression processing on the power quality data based on the current characteristic parameters and the voltage abnormity identification; transmitting the compressed data and feature information through a redundant channel comprising a main communication link and a standby communication link; and generating electric energy quality alarm information according to the transmitted data, and performing power grid operation decision control according to the information. According to the method, the electric energy quality data of the plurality of Internet of Things electric energy quality sensors in the AC / DC power distribution network are collected, and harmonic analysis is performed on the current waveform of the electric energy quality data, so that the accuracy and robustness of feature extraction are ensured; therefore, the requirements of the modern AC / DC hybrid power distribution network for high-precision, high-reliability and quick-response power quality control can be met.

The invention discloses an image recognition system and method for coal mine ground sale automatic loading, and relates to the technical field of coal mine image processing, and the method comprises the steps: installing a high-resolution camera at a key position of a loading system, collecting an image of ore distribution in a carriage in real time, and installing a mass sensor at the bottom of the carriage, the coal mine quality in the carriage is monitored in real time; dividing a carriage loading area into N * N unit grids; setting a coal mine target identification strategy to identify the offset of the coal pile in the subarea; and setting a loading path dynamic planning algorithm, dynamically adjusting partition weights, and gradually finding an optimal loading path. According to the invention, the problem of low identification precision caused by dust and light change in automatic truck loading of coal mine ground sale is solved, and the influence of the center-of-gravity shift of the carriage on the loading safety is reduced.

The invention relates to the technical field of air quality monitoring, and provides an air quality sensor based on the Internet of Things and a remote control method thereof, and the air quality sensor comprises a multi-source heterogeneous sensing fusion system, a time-space domain edge gateway system and a dynamic response collaborative central system. The remote control method comprises the steps that a purification device linkage control matrix is processed through a heterogeneous instruction fusion technology to obtain a space optimization control vector set, and the space optimization control vector set forms a man-machine interaction entropy value mechanism; the man-machine interaction entropy value model is processed through an entropy weight dynamic distribution strategy to obtain a space state sensing vector, and the space state sensing vector forms a cross-medium alarm triggering channel; the cross-medium alarm trigger channel is processed by the bidirectional response coupling engine to obtain an equipment state feature topology, and the equipment state feature topology forms a closed-loop control entropy correction instruction. According to the invention, pollution of a physical space is dynamically converted into operable equipment control parameters, and a complete Internet of Things closed-loop system from environment monitoring to purification execution is established.

A micromechanical component for a pressure and inertial sensor device. The component includes a substrate having an upper substrate surface; a diaphragm having an inner diaphragm side oriented towards the upper substrate surface and an outer diaphragm side pointing away from the upper substrate surface, the inner diaphragm side bordering on an inner volume, in which a reference pressure is enclosed, and the diaphragm being able to be warped using a pressure difference between a pressure prevailing on its outer diaphragm side and the reference pressure; and a seismic mass situated in the inner volume, a sensor electrode, which projects out on the inner diaphragm side and extends into the inner volume, being displaceable with respect to the substrate due to a warping of the diaphragm. A pressure and inertial sensor device, and a method of manufacturing a micromechanical component for a pressure and inertial sensor device, are also described.

The invention discloses equipment and a method for manufacturing a heterostructure part through a wire and powder composite additive, and belongs to the technical field of advanced material preparation through high-energy beam rapid forming. The equipment for manufacturing the heterostructure part through the wire and powder composite additive material is composed of a robot, a control cabinet, a 3D printing head, a powder feeder, a wire feeding system, a laser, a wire feeding clamping mechanism, a wire feeding driving mechanism, a control unit, a powder feeding quality sensor, an optical morphology CCD monitor and the like. Advantages of efficient fuse wire additive and high-precision laser powder feeding additive are integrated, real-time monitoring of the powder feeding amount can be achieved through a powder feeding system quality sensor, and the number of revolutions of a powder feeding disc can be controlled; through a molten pool morphology CCD monitoring system, the size of a molten pool is measured in real time, laser power changes are regulated and controlled, and closed-loop feedback control is achieved; the material components are more accurately regulated and controlled, the automation degree of the preparation process is high, and the material adding precision and efficiency are remarkably improved while the production cost is reduced.

In order to solve the traceability problem of the LNG filling machine calibrating device, the utility model discloses a mass real flow calibration system for the LNG filling machine calibrating device, which is used for calibrating the LNG filling machine calibrating device. The system comprises an LNG filling machine, an LNG filling machine calibrating device and an LNG storage tank which are connected in sequence, and the LNG filling machine calibrating device comprises a calibrating mass flow meter used for detecting the accumulated mass flow value in a pipeline; a high-precision mass sensor is installed in the LNG storage tank and used for detecting the accumulated mass flow value of the LNG storage tank. By recording the accumulated mass flow value output by the calibration mass flowmeter and the accumulated mass flow value output by the high-precision mass sensor within the same time and comparing the accumulated mass flow value with the accumulated mass flow value, the error of the LNG filling machine calibration device can be determined.

A method for identifying an animal using a pet health device including a) monitoring for a presence of the animal at the one or more pet health devices by one or more sensing devices; b) detecting the presence of the animal at the one or more pet health devices by the one or more sensing devices; c) recording a weight of the animal as detected by the one or more sensing devices, wherein the one or more sensing devices include one or more mass sensors, and the weight once recorded is a recorded weight; d) detecting a departure of the animal from the one or more pet health devices by the one or more sensing devices; and e) automatically identifying the animal by automatically associating the recorded weight with an identify of the animal by matching the recorded weight with a substantially similar weight associated with an animal profile.

The invention discloses an electric energy quality deduction prediction system based on artificial intelligence. An electric energy quality sensor collects voltage, current harmonic waves and transient disturbance data of multiple feeder nodes of a power grid; after the in-situ calculation unit compresses the collected data, the data access module processes the compressed data to obtain multi-monitoring-point continuous sequence data; the power quality deduction prediction sub-module trains a spatial-temporal feature extraction model through deep learning, processes the obtained data based on the trained model, and generates an advanced early warning signal; the multi-interference-source combined research and judgment sub-module processes power grid topology based on a graph attention network layer, and realizes accurate quantification of multi-interference-source harmonic responsibility by combining with global interactive calculation of a traceability attention layer; and the active decision-making module generates treatment strategy suggestions according to the early warning and quantification results and visually outputs the treatment strategy suggestions. According to the invention, the problem of high false alarm rate of fixed threshold alarm in a low signal-to-noise ratio scene is effectively solved.

The invention provides an industrial smoke filtering control system which comprises an air inlet pressure sensor, an air quality sensor, a temperature sensor, a fan PWM controller, a control unit, a man-machine interaction unit and a storage unit, the control unit serves as a core component, and the other components are electrically connected to the control unit. The control unit converts the air inlet pressure into real-time air inlet amount, compares the real-time air inlet amount with preset air inlet amount, adjusts the rotating speed of the fan to enable the real-time air inlet amount to tend to the preset air inlet amount, judges the overload state according to the rotating speed of the fan and the real-time air inlet amount, obtains an alarm state in combination with factors such as filter element working duration, air quality detection and filter element temperature, and gives an alarm. By adjusting the air inlet amount and monitoring and recording the abnormal running state, the technical effects of maintaining the continuous and stable waste gas treatment efficiency of the system and improving the running reliability and safety of the whole machine are achieved, and the stability of the system is obviously improved.

The utility model relates to the technical field of air quality sensor detection, in particular to a device for detecting the monitoring performance of air quality sensors in batches, which comprises a rotary control assembly, a test base, a sensor mounting plate, a detection assembly, a qualified part collection assembly, an unqualified part collection assembly and a controller, the test base is a square base, is arranged above the supporting platform and is used for bearing the sensor mounting plate, one end part of the rotation control assembly is connected with the supporting platform, the other end part of the rotation control assembly is connected with the test base, and the rotation control assembly is used for driving the test base to rotate; the sensor mounting plate is arranged at the end part of the upper surface of the test base and is used for accommodating an air quality sensor; the detection assembly, the qualified part collection assembly and the unqualified part collection assembly are arranged on the upper surface of the supporting platform. According to the device, the monitoring performance of the air quality sensor can be detected in batches, semi-automation of detection can be realized, the detection efficiency is improved, and human resources are saved.

The utility model relates to the technical field of ecological grid structure construction, and discloses a movable ecological grid entity structure detection device which comprises a base, one side of the base is fixedly connected with a push rod, the bottom of the base is provided with universal wheels, the outer sides of the universal wheels are provided with brakes, the top of the base is fixedly connected with a fixed plate, and the fixed plate is fixedly connected with a movable plate. A placement plate is arranged at the bottom of the fixing plate, a mass sensor is arranged at the top of the fixing plate, a hook is arranged at the bottom of the mass sensor, a fixing ring is arranged at the bottom of the hook, a pull rope is fixedly connected to the bottom of the fixing ring, and one end of the pull rope is fixedly connected to the top of the placement plate. According to the device, stone can be weighed through the mass sensor, the hook, the fixing ring, the pull rope and the placement plate, and the whole device can be driven to move by pushing the push rod, the base and the universal wheels, so that the device can move conveniently and quickly, and the flexibility and convenience of the device are improved.

A beverage dispensing system is configured to facilitate communication between a point of sale terminal and a beverage dispenser for receiving and fulfilling beverage orders. The dispensing system includes a conversion server that maps beverage orders between point of sale entry data and beverage dispenser recipe data. An automatic portion control (APC) assembly includes a mass sensor configured to determine a mass of a cup resting thereon. Using the mass of the cup, the dispenser makes a cup size prediction and performs a portion control dispensing operation. Based on the cup size prediction, a user interface is modified to allow for faster interaction. The APC assembly is positioned beneath a nozzle of the beverage dispenser and includes a removable platform assembly magnetically coupled to a mass sensor assembly. The mass sensor assembly includes a load cell or other mass sensor.

The intelligent LED street lamp comprises the lamp pole, a first component, a second component, a third component and a fourth component, and the first component comprises a first lifting plate unit and a display screen unit; the second part comprises a second lifting plate unit and an air quality sensor; the third part comprises a third lifting plate unit and a base station shell; the fourth component comprises a fourth lifting plate unit and an LED lamp holder unit. According to the intelligent LED street lamp, the street lamp can be lifted and lowered, so that the height of the street lamp can be lowered in severe weather, and the street lamp is protected. In addition, active heat dissipation can be achieved, and active air circulation can be achieved when ambient air is detected.

A microelectromechanical (MEMS) sensor, such as an accelerometer, has one more proof masses that respond to movement of the sensor, the movement of which is measured based on a distance between the one or more proof masses and on one or more sense electrodes. The accelerometer also has a plurality of auxiliary electrodes and a signal generator configured to apply an auxiliary signal having a first harmonic frequency to the plurality of auxiliary electrodes. Circuitry receives a sensed signal from the plurality of sense electrodes and identifies a portion of the sensed signal having the first harmonic frequency. Based on this identified portion of the sensed signal, the circuitry determines whether a residual voltage is present on the one or more proof masses or on the one or more sense electrodes, and the circuitry modifies the operation of the accelerometer when the residual voltage is determined to be present in order to compensate for the residual voltage.

The utility model discloses a plastic injection molding machine which comprises an injection molding machine main body, a dyeing mechanism, a conveying mechanism and a controller, the mass sensor can automatically detect the mass of the transparent plastic particles in the cylinder body, the corresponding storage cylinder is automatically opened according to the color ratio, then the stirring piece is started in good time, automatic dyeing of the plastic particles is achieved, the trouble that an injection molding machine needs to dye the plastic particles manually is avoided, and the injection molding efficiency is effectively improved. The discharge part is mounted at the bottom end of the barrel, the conveying mechanism is arranged on one side of the barrel, the discharge part is aligned to the conveying mechanism, and the conveying mechanism is communicated with the injection molding machine main body. And the conveying mechanism can directly feed the plastic particles into the injection molding machine main body, so that the trouble of manually carrying the plastic particles is avoided, and the practical performance is further improved.

The invention relates to the technical field of test devices, in particular to a modularized sand-liquid mixing and accurate adding system for a sand-containing cavitation test of a water turbine, which comprises a sand-water mixing tank connected with a water inlet pipe and a water outlet pipe, the water inlet pipe is connected with a main pipeline, and a metering pump is arranged on the water outlet pipe; a first sand content monitoring sensor, a liquid level sensor and a stirring structure are arranged in the sand-water mixing tank; a material storage ball is arranged on the support, sand grains are arranged in the material storage ball, and a mass sensor is arranged on the support; and the conveying structure is connected with the storage ball and the sand-water mixing tank. The functions of sand liquid preparation, accurate metering, intelligent control, mixed injection and the like are highly integrated in an independent module to form a complete system which can operate independently. By means of the modular design, the system is compact in structure, small in occupied area and convenient to install, debug and maintain. And the high-precision sand content control ensures the accuracy and repeatability of test conditions, so that the test data is more reliable, and powerful support is provided for scientific research.

The present application relates to the technical fields of gypsum board moisture deflection measurement, and specifically relates to a gypsum board moisture deflection tester, which comprises a constant temperature and humidity chamber, a plurality of moisture inlet pipes are distributed on both sides of the constant temperature and humidity chamber, a temperature and humidity sensor is installed on the inner top surface, and a moving assembly is installed on the top of the inner cavity. A mounting bracket is installed on the top of the moving assembly, and a range finder is detachably installed at the bottom end of the mounting bracket. A plurality of sliding assemblies are arranged on the inner walls of both sides of the constant temperature and humidity chamber along the vertical direction at equal intervals, a placing frame is connected between two sliding assemblies at the same height, a placing table is arranged in the placing frame, a placing groove is arranged on the top of the placing table, a mass sensor is installed on the inner bottom surface of the placing frame and connected with the bottom end of the placing table. The application further comprises an external temperature and humidity control device connected with the moisture inlet pipes through a gas pipe. The present application realizes in-situ non-contact deflection measurement and synchronous monitoring of mass change of the gypsum board under the moisture state, has high testing precision, can realize multi-layer synchronous testing, and effectively improves the detection efficiency and data accuracy.

The utility model relates to a gas detection structure for rapid detection of an automobile air quality sensor, which comprises a rotating disk, a gas sensor and a gas sensor, the bracket is arranged on the side of the rotating disc; the pressing mechanism is connected with the bracket in a sliding manner and is arranged right above the bearing plate; the electrifying mechanism is connected with the bracket in a sliding manner and is arranged under the bearing plate; the gas conveying mechanism is arranged on the side of the bearing plate and comprises a front-back moving air cylinder arranged on the support, a gas channel arranged at the output end of the front-back moving air cylinder and connectors arranged on the gas channel at intervals, and the connectors directly face a gas detection inlet of the air quality sensor. According to the utility model, the air quality sensor is placed on the bearing plate, and after the air quality sensor is pressed by the pressing mechanism, the accurate connection between the air passage and the inlet of the air quality sensor and the accurate connection between the electric connection end of the air quality sensor and the electrifying mechanism are ensured, and the detection quality of the sensor can be ensured.

The present invention relates to systems and methods for measuring substrate and film thickness distribution. The system includes a dual interferometer subsystem configured to measure flatness across a substrate. The system includes a mass sensor configured to measure the quality of the substrate. The system includes a controller communicatively coupled to the dual interferometer subsystem and the mass sensor. The controller includes one or more processors. The one or more processors are configured to execute a set of program instructions stored in a memory, the set of program instructions being configured to cause the one or more processors to determine a thickness distribution of at least one of the substrate or a film deposited on the substrate as a function of position across the substrate based on one or more flatness measurements from the dual interferometer subsystem and one or more quality measurements from the mass sensor.

The utility model discloses a quantitative mixing device for low-fusel alcohol oil liquor fermentation metabolism regulating liquid, which belongs to the technical field of winemaking equipment. The utility model includes a bottom cylinder and a top cover plugged on the bottom cylinder, the top cover is provided with a feed pipe, the bottom cylinder is provided with a liquid inlet pipe, a liquid outlet pipe and a control panel, the bottom cylinder is provided with a mass sensor located on the upper surface and a filter assembly located in its inner cavity, and the upper end of the inner cavity of the filter assembly is the same size as the inner cavity of the top cover. The utility model quantitatively stores the raw materials required for preparing the fermentation metabolism regulating liquid in sequence through the top cover, and when the weight of the raw materials reaches the required value, the rotating plate can be controlled to rotate to discharge the materials, and the pushing assembly can push the raw materials adhered to the side wall of the cover body into the filter cylinder to make it fall completely. The whole process of adding raw materials is relatively simple and convenient, and compared with the prior art, there are fewer manual operations, which effectively improves efficiency.

The invention relates to the technical field of power system relay protection, and discloses a transformer gas relay maloperation prevention simulation method based on flow field analysis. Comprising the steps of preparation of a geometric simulation model, generation of a computational domain, division and independence test of computational grids, generation of boundless layer grids, delimitation of boundary conditions and analysis of fluid simulation results and test measurement errors. The method comprises the following specific steps: step s1, preparing a geometric simulation model; step s1.1, constructing a three-dimensional structure model in the gas relay; according to the method, a simulation-test two-way error tracing method is adopted, nine kinds of error sources such as key parameters (such as a simulation value 1.301 m / s vs actual measurement mean value 1.299 m / s), quantitative model simplification, grid quality and sensor precision) such as action flow speed and action time are compared, the prediction accuracy of a verified simulation model reaches 98.7%, quantifiable theoretical support is provided for relay maloperation resistance design, and the method has the advantages of being high in reliability, high in reliability and the like. And a bidirectional error analysis mechanism is realized to guarantee the simulation reliability.

The invention belongs to the technical field of vehicle part transportation, and particularly relates to a carrying system, method and system, a terminal and a storage medium. The carrying system comprises a carrying tray, a mass sensor is installed in the center of the bottom of the carrying tray, and path detection assemblies are installed on the periphery of the carrying tray; a plurality of transverse baffle assemblies and a plurality of longitudinal baffle assemblies are installed at the top end of the carrying tray. A controller is arranged in the carrying tray, and the controller specifies a carrying path according to information fed back by the mass sensor and the path detection assembly and drives the transverse baffle assembly and the longitudinal baffle assembly to fix the articles. Through the mass sensor and the electric baffle assembly, automatic weighing, size measurement and stable clamping of objects are achieved, and errors and potential safety hazards caused by manual operation are avoided; a path planning strategy is formulated based on a preset algorithm, a smooth obstacle avoidance path can be generated in real time in combination with multi-sensor environment perception, and an intelligent and high-reliability solution is provided for laboratory testing.

The present disclosure ensures reliability of analysis results by accurately pipetting a specimen and a sample in a predetermined pipetting amount. An automatic analysis device includes: a reagent holder configured to hold a reagent container that contains a reagent; a specimen holder configured to hold a specimen container that contains a specimen; a pipetting mechanism configured to pipette the reagent and the specimen into a reaction container; and a mass sensor configured to measure a mass of the reaction container. The mass sensor includes: a fixing portion; a diaphragm at least a part of which is fixed by the fixing portion; a piezoelectric element joined to the diaphragm; and a container placement portion that is supported on the diaphragm and is configured to hold the reaction container into which a liquid to be measured is discharged.

Methods for controlling the power of an engine, comprising: a) Detecting a first signal representing an ion current from an ion sensor that detects a combustion process in a cylinder of the engine; b) Calculating a knock score based on the first signal; c) Determining an operating state of the engine during the combustion process, preferably on the basis of a sensor detecting the operating state and / or a map describing the operating state, preferably on the basis of an engine map including an engine speed and an engine load during the combustion process; d) Determining an expected knocking intensity, which describes an acceptable intensity of a knocking process during the combustion process; e) Selecting one or more multipliers based on the operating state, where a multiplier is preferably at least one of: a. calculated from data provided by the sensor detecting the operating state, preferably the ion sensor and / or a fuel quality sensor and / or a temperature sensor and / or a contamination sensor, and b. selected from a table encompassing the characteristic map, preferably an engine characteristic map, preferably a characteristic map of speed and load; f) Calculate: a. a knock assist value based on the knock index and one or more multipliers, wherein preferably the knock index is multiplied by at least one of the multipliers, and / or b. a knock intensity aid value based on the expected knock intensity and one or more multipliers, wherein preferably at least one expected knock intensity is divided by at least one of the multipliers; g) Repeating steps a) to f) for at least two combustion processes, preferably at least 4 combustion processes, preferably at least 10 combustion processes, preferably at least 50 combustion processes; h) Comparing: a. the calculated tapping aid value with the expected tapping intensity, and / or b. the knock score with the knock intensity aid value, to determine a deviation, where the comparison includes comparing an average value of the knock index and / or the knock assist value and / or the knock intensity assist value over the repeated combustion cycles; and i) Generating an instruction to correct the operation of the engine, preferably to adjust ignition timing and / or fuel injection when the deviation exceeds a threshold indicating that a correction is required.

A physiological information acquisition device includes: a reception interface configured to receive waveform data corresponding to a measured waveform of a physiological parameter of a subject from a sensor; a notifier configured to output an alarm indicating that the physiological parameter is not normally acquired; a processor configured to cause the notifier to output the alarm based on the waveform data; and a predictor configured to predict, based on the waveform data, a probability that the physiological parameter is erroneously calculated. The processor is configured to cause the notifier to perform a notification of at least one of a quality of the waveform data, a state of the sensor, and an action shall be taken by a user, based on the probability.

The invention provides a strongly-weathered red layer soft rock dry-wet cycle testing device and method for monitoring quality change, and belongs to the field of rock mechanics. The test method comprises the following steps: putting a sample into a saturator, hanging the saturator in a vacuum pot, pumping the vacuum pot to a vacuum state through a suction filtration pump, pressing deionized water into the vacuum pot through atmospheric pressure, continuously performing suction filtration until the vacuum pot reaches a relatively vacuum state, and keeping the state for 12-24 hours, and meanwhile, when the state is reached, the mass sensor is used for testing, and measured data is transmitted to a computer in real time. The experimental device and method are easy and convenient to operate, economical and efficient, and can effectively solve the problem that a mechanical experiment cannot be carried out to obtain related mechanical parameters due to the fact that a sample is damaged after a strongly-weathered red layer soft rock dry-wet cycle experiment; meanwhile, the problem that the permeation water absorption capacity of the sample cannot be specifically quantified in the long-time water absorption process is solved by monitoring the quality of the sample in real time.

A power quality analysis system is configured to carry out a power quality analysis in an electrical environment. The system comprises one or more power consuming units each electrically connected to a main power supply by a multiconductor (multicore) cable and one or more power quality sensors configured to provide one or more power quality analysis measurements. The one or more power quality sensors are clamp-on power quality sensors configured to provide one or more power quality analysis measurements when the clamp-on power quality sensors are clamped onto the outside of or arranged in the proximity of the multiconductor cable. The clamp-on power quality sensors are configured to provide the one or more power quality analysis measurements without being electrically connected to any of the conductors of the multiconductor cable.