86 results about "Actual weight" patented technology

The invention discloses a weighing monitoring early warning method and device for a smart scale, and relates to the technical field of weighing monitoring, and the method comprises the steps: activating a smart scale detection program to carry out the weighing record calculation of a target smart scale, and determining an initial weighing coefficient; building a weighing scene test parameter table, monitoring to obtain a real-time weight AD value set, and recording actual weight information of an object; carrying out partition regression fitting to generate a weighing nonlinear model; performing comparison calculation on the dynamic weighing coefficient set and the initial weighing coefficient in sequence, and determining a weighing coefficient deviation slope set; and constructing a weighing dynamic early warning mechanism, determining a weighing early warning strategy, and carrying out weighing early warning control on the target intelligent scale. The technical problem that weighing deviation and early warning hysteresis cannot be timely and accurately monitored due to the fact that weighing of an intelligent scale in the prior art is easily interfered by factors such as environment and long-term use is solved, and the technical effect of improving weighing accuracy of the intelligent scale and monitoring and early warning timeliness is achieved.

The invention provides a vehicle body weighing device, and relates to the technical field of locomotive measurement. The vehicle body weighing device comprises a supporting mechanism and a weighing mechanism, the supporting mechanism comprises a first lifting driving source and a supporting body, and the output end of the first lifting driving source is connected to the supporting body; the weighing mechanism comprises a weighing assembly, the weighing assembly comprises a second lifting driving source, a weighing sensor and a lifting part, and the second lifting driving source can be connected to the lifting part through the weighing sensor; wherein the first lifting driving source can drive a to-be-detected vehicle body to move along a first direction and towards a direction close to the lifting piece through the supporting body, so that the lifting piece can bear a secondary supporting surface of the to-be-detected vehicle body, and the weighing sensor can detect the actual weight of the to-be-detected vehicle body; the second lifting driving source can drive the lifting part to move in the first direction and the direction facing the to-be-detected vehicle body through the weighing sensor and is used for simulating pad adding operation so as to level the secondary supporting face of the to-be-detected vehicle body.

The invention discloses a production management method and device based on weight control, equipment and a storage medium. The method comprises the steps of obtaining a target weight interval of a product based on a preset process capability index; acquiring the actual weight of the current product; and comparing the actual weight of the current product with the target weight interval corresponding to the current product to obtain a test result. By utilizing the method, the target weight interval of the product is accurately determined through the preset process capability index, the final test result is determined by comparing the target weight interval with the target weight interval, the product can be timely found to be a box A and a goods B according to the test result, and the risk of mixed loading can be effectively solved.

The invention provides an electronic belt scale calibration method, and belongs to the technical field of belt scale calibration. The electronic belt scale calibration method comprises the following steps: S1, a storage member conveys one of N weights stored in the storage member to a flexible release member; s2, the flexible release part places the weight on a calibration weighing platform, and the calibration weighing platform obtains the actual weight of the weight; s3, the flexible release part places the weight on a conveying belt, in a running state, of the electronic belt scale in a zero-impact mode; s4, the flexible recovery part recovers the weight in a zero-impact mode; s5, the flexible recovery part conveys the weights into the storage part; and S6, returning to the step S1 when the accumulated weight is less than the first preset weight, and stopping until the accumulated weight corresponding to the M weights is equal to the first preset weight. According to the invention, intelligentization, automation and standardization of the calibration process of the electronic belt scale are realized, and high precision and high stability of calibration work are realized.

The invention belongs to the technical field of airplane traction air-drop stable feedback control gain determination method design, and particularly relates to an airplane traction air-drop stable feedback control gain determination method and system, and the method comprises the steps: determining the typical states of the weight, the gravity center and the inertia moment based on the change characteristics of the weight, the gravity center and the inertia moment of an airplane in the traction air-drop process; possible change ranges of the weight, the gravity center and the inertia moment of the airplane during actual traction air-drop are covered, then feedback control gains corresponding to the feedback control state quantity of the airplane in all typical states are determined, and according to the actual weight, the gravity center and the inertia moment of the airplane in the traction air-drop process, the real-time feedback control gains are obtained through interpolation calculation. The feedback control gain is changed in real time to adapt to the motion state of cargoes, and control over airplane response in the whole traction air-drop process is achieved.

The invention discloses a grab bucket crane loading control system and method, and relates to the technical field of loading and unloading automation, a weighing sensing module is integrated in a grab bucket to collect the actual weight of a single-bucket material in real time, and a bucket number calculation module is combined to dynamically update the material density and correct the number of residual feeding buckets in a closed loop mode, so that the loading total amount precision is remarkably improved; the problem of overload and underload caused by material density fluctuation is effectively solved, meanwhile, space coordinates and swing angles are monitored in real time through the grab bucket positioning module, angle, speed and height compensation instructions are dynamically generated through the motion control module, and real-time correction of drop point deviation is achieved. In addition, the accumulated weight and the balance index of each subarea of the compartment are calculated in real time by means of the loading balance module, the falling point is automatically switched to the lowest loading area, uniform material distribution is ensured, the unbalance loading risk is avoided, and the compartment space utilization rate is increased.

The utility model provides a human body scale four-corner measurement value deviation automatic testing machine. The human body scale four-corner measurement value deviation automatic testing machine comprises a rack, a conveying belt, a centering device and a weight loading device. The conveying belt is used for automatically conveying a to-be-tested human body scale into a test area; the centering device accurately controls the movement of a first positioning plate, a second positioning plate, an X-axis positioning rod and a Y-axis positioning rod, so as to achieve the centering and positioning of the human body scale. The weight loading device accurately controls the weights to load the weights with different weights on the four corners of the human body scale through the cooperative work of the second X-axis driving assembly and the second Y-axis driving assembly, detects the weight output value of the human body scale in real time, and compares the weight output value with the actual weight of the weights, thereby accurately measuring the deviation of the measured values of the four corners of the human body scale. The device has the advantages of high test precision, fast test speed, simple operation and the like, can automatically, accurately and efficiently detect the deviation of the four-corner measured values of the human body scale, and meets the test requirements of different models of human body scales.

The application discloses an intelligent warehouse scheduling method and device, relates to the technical field of intelligent warehouse logistics, and is applied to a scheduling system and comprises the following steps: acquiring target goods, determining the actual weight of the target goods through the vehicle-mounted controller of an automatic guided vehicle, the current temperature of the goods and the lifting height; acquiring the actual weight and the target goods ID, screening the goods storage positions according to the size relationship between the actual weight and a target threshold value, and obtaining a candidate storage position set; determining the target score of the candidate storage positions based on the deviation change quantity and the balance change quantity of each storage position after the target goods are placed in the candidate storage positions, and determining the target storage position based on the target score; sending a carrying instruction to the automatic guided vehicle based on the target storage position and the target goods ID, so as to carry the target goods to the target storage position based on the carrying instruction; and determining the position and weight record information of the target goods, so that the automatic guided vehicle acquires the goods based on a taking instruction and completes the warehousing. The safety and stability of the storage system are ensured.

The invention relates to the technical field of refrigeration equipment, and discloses a storage device which comprises a main body defining a storage space; the weight measuring unit is arranged on the main body and is used for detecting the weight of the articles in the storage space and obtaining a weight value; and the calibration device is connected with the weight measuring unit and is used for correcting the weight value so as to obtain an actual weight value. After the weight measuring unit detects the weight of the articles in the storage space and obtains a weight value, the weight value is transmitted to the calibration device connected with the weight measuring unit, and the calibration device corrects the received weight value to obtain an actual weight value. Therefore, the error of the weight value is reduced through the correction of the calibration device, and the obtained weight data of the articles in the storage space is more accurate. The invention further discloses the refrigerator and a control method of the refrigerator.

This invention relates to the field of bulk material loading weight control technology, specifically to a railway bulk material loading weight control method and system based on self-learning adjustment. The method includes: real-time acquisition of the actual weight and operating condition data of the preceding car; calculation of dynamic flow control thresholds and dynamic weight compliance thresholds based on the operating condition data, preset threshold calculation formulas, and initialized formula parameters; execution of three-stage coordinated control of different flow rates in the preceding and following chutes based on the comparison results of the actual weight and the two thresholds; and after loading a single car, iterative optimization of iterable coefficients using a gradient descent algorithm based on loading errors and preset convergence conditions, for use in threshold calculation for the next car. This allows for dynamic adaptive adjustment of the thresholds, enabling precise control and fundamentally avoiding overloading problems. It not only provides stable weight control accuracy but also possesses a fully closed-loop self-learning capability, requiring no manual intervention.

The invention relates to the technical field of engineering vehicles, in particular to a load monitoring method of a telescopic arm structure and an engineering vehicle, the effective weight of a telescopic arm in the operation process can change, and in order to accurately obtain the load weight G object, then an insertion auxiliary tool is detached, and the effective weight g of the telescopic arm at any position of a working area is obtained. And then the insertion auxiliary tool is installed at the other end of the telescopic arm, after goods are inserted through the loading auxiliary tool, the total weight G < total > of the telescopic arm, the insertion auxiliary tool and the goods is obtained, the weight G < object > of the goods is equal to G < total >-g-w, and the accurate goods weight is obtained. By obtaining the effective weight g of the telescopic arms at different positions, the accuracy of cargo bearing can be improved, and the problems of structural buckling, failure of a hydraulic system, even overturning of a whole machine and other safety accidents caused by the fact that the actual weight of cargoes exceeds the maximum load are effectively avoided.

The invention discloses a forklift balancing weight feeding auxiliary device and a control method. The forklift balancing weight feeding auxiliary device comprises a bearing rotating platform, a rotating gear is fixed to the lower surface of the bearing rotating platform, and a supporting platform is arranged below the rotating gear; a plurality of rollers are arranged on the lower surface of the bearing rotating platform in the circumferential direction; a weighing rotating platform is arranged above the bearing rotating platform, and a plurality of weighing units are arranged between the bearing rotating platform and the weighing rotating platform. The weighing unit obtains the actual weight of the balance weight, compares the actual weight with the theoretical weight of the balance weight type in a database and then sends a signal to the system, if the actual weight exceeds a threshold value, the system gives an alarm, and if the actual weight is smaller than the threshold value, the system sends a signal to the servo motor, and the servo motor drives the driving gear to rotate. The problem that the angle of a counterweight tool needs to be adjusted is solved, automatic rotation of the working platform is achieved, simple judgment of the weight type of the counterweight is increased, and mistake proofing of counterweight feeding is achieved.

The invention provides a vehicle lightweight level evaluation method and device, equipment and a medium, and relates to the technical field of vehicles, and the method comprises the steps: obtaining attribute information corresponding to a to-be-evaluated vehicle, the attribute information comprising size information and type information; calling a target weight fitting function corresponding to the type information to determine a standard weight corresponding to the to-be-evaluated vehicle according to the size information by using the target weight fitting function; and determining a vehicle model lightweight coefficient based on the standard weight and the actual weight corresponding to the to-be-evaluated vehicle, so as to evaluate a target lightweight level corresponding to the to-be-evaluated vehicle. According to the invention, the lightweight level of the vehicle can be reliably and quantitatively evaluated.

The invention discloses a speed control method and device, a motor and a storage medium, and the method comprises the steps: obtaining a preset reference rotating speed and a real-time rotating speed, and calculating a speed error and an error change rate at a current moment based on the preset reference rotating speed and the real-time rotating speed; actual weights and expected weights of the preset reference rotating speed, the speed error and the error change rate are confirmed, and a first correction weight, a second correction weight and a third correction weight are calculated based on the actual weights and the expected weights; calculating a time constant based on the first correction weight, the second correction weight and the third correction weight; and the time constant is substituted into a preset internal model speed controller, and the real-time rotating speed is adjusted through the preset internal model speed controller. Parameters of the internal model speed controller can be adjusted in a self-adaptive mode, and stability is improved.

The present application relates to the technical field of steelmaking continuous casting, and particularly relates to a method for adjusting the length of square billets, which comprises the following steps: defining the hot billet density, the theoretical cross-sectional area of the billet and the theoretical standard weight of the billet; obtaining the actual weight of the billet by weighing; obtaining the actual length of the billet by measuring the hot billet; calculating the adjustment amount of the billet and the weight difference ratio according to the theoretical standard weight of the billet and the actual weight of the billet; and calculating the length of the next billet according to the correction coefficient, the adjustment amount of the billet and the actual length of the previous billet. The present application realizes the purpose of controlling the weight difference of the billet within 3‰.

The utility model relates to the technical field of broiler slaughtering, and provides a yield statistical system for a broiler slaughtering line, which comprises a conveying device, a transferring device, a weighing device and a driving device for controlling whether broilers enter the weighing device or not, the conveying device is used for conveying broiler chickens into the transfer device; the weighing device is used for measuring the weight of the broiler chicken; the conveying device, the transferring device and the weighing device are sequentially communicated. The system quantitatively controls the number of broiler chickens entering the weighing device at a time through the transfer device, then performs weighing recording, further records the actual weight of single-day production and can calculate the average weight of the broiler chickens, so that the weight of the broiler chickens in the slaughtering process is monitored and evaluated, the production management process is rationalized, and the production efficiency is improved. Therefore, the economic benefit is improved.

This invention discloses a device for detecting the presence of coke in coke cans on a dry quenching coke transport vehicle, belonging to the field of coking technology. It includes a frame, a rotating turntable, and a support assembly. The support assembly consists of several sets of support seats and three sets of weighing platforms. The support seats and weighing platforms are evenly distributed in a ring on the upper surface of the frame, with the included angle between the three sets of weighing platforms being 120°. The rotating turntable is positioned above the support assembly and is guided by the support assembly to rotate. By placing the weighing platforms below the rotating turntable, the combined action of the support seats and weighing platforms achieves both support and guidance for the rotating turntable, without affecting its rotational function. This also enables real-time detection of the actual weight of the coke cans, revealing the current coke storage status within the cans. The use of three sets of weighing platforms at a 120° angle ensures the accuracy and stability of the weight acquisition signal. Furthermore, the cross-verification of the detection data from the three sets of weighing platforms ensures the accuracy of the detection results.

The application discloses a loader and a vehicle-mounted weighing method thereof. The vehicle-mounted weighing method of the loader comprises the following steps: establishing a linear model in the lifting process of the loader under different working conditions, acquiring the size cavity pressure difference of a boom cylinder, the boom angle and the boom angular velocity corresponding to different working conditions, and the maximum load weight of the loader in real time; calculating the full-load theoretical pressure difference and the empty-load theoretical pressure difference of the loader according to the size cavity pressure difference of the boom cylinder, the boom angle and the boom angular velocity corresponding to different working conditions; and calculating the actual weight of the load of the loader according to the size cavity pressure difference of the boom cylinder, the maximum load weight, the full-load theoretical pressure difference and the empty-load theoretical pressure difference in the actual lifting and weighing process of the loader. The technical scheme provided by the embodiment of the application has high flexibility for vehicle-mounted weighing.

This invention discloses a method and system for sensing and controlling the posture of a heavy-duty forklift, belonging to the field of forklift technology. It includes detecting the actual weight M0 and dimensions of the current cargo, calculating the maximum lifting height threshold and maximum tilting angle threshold of the gate; when H1≥Hmax, the lifting cylinder stops working; when A1≥Amax, the tilting cylinder stops working; when the lifting and tilting actions are combined, H1 and A1 are dynamically coupled and calculated, and when M0>M, both the lifting and tilting cylinders stop working simultaneously; the displacement of the steering cylinder and the steering angle of the forklift's rear wheels are collected to obtain the real-time posture state of the forklift's rear wheels; based on this final posture state, the steering cylinder is operated until the forklift's rear wheels return to center. This invention senses the forklift's posture in real time and controls each actuator, preventing overloading, reducing operational risks, and improving the accuracy and convenience of operation by increasing real-time rear wheel posture sensing.

Disclosed herein relates to a system, comprising: at least one load receiver mounted on a shopping cart or basket and configured to receive an item placed into the shopping cart or basket for a weighing operation; a plurality of sensors configured to detect a plurality of parameters relating to the weighing operation of the item including at least one of: a relative angle between a force sensing axis of the at least one load receiver and a direction of gravity, a motion of the shopping cart or basket, and an ambient temperature surrounding the shopping cart or basket and the at least one load receiver; and a processor configured to determine an actual weight of the item based on at least a portion of the plurality of parameters.

The application relates to the technical field of low-altitude aircrafts, and discloses a method for returning an unmanned aerial vehicle (UAV) to a position and a UAV garage, the method comprising the following steps: acquiring a landing position coordinate of the UAV; when a position deviation between the landing position coordinate and a target position coordinate is greater than a first preset deviation, acquiring the weight of the UAV; determining a basic thrust of a mechanical arm according to the weight of the UAV; dividing the position deviation into multiple intervals, determining an actual thrust of the mechanical arm based on the basic thrust according to the interval where the position deviation is located; and controlling the mechanical arm to apply the determined actual thrust to the UAV, so as to move the UAV to the target position. After the UAV lands, the mechanical arm outputs a matching force according to the actual weight and the real-time position deviation, effectively avoids the problems of position deviation and attitude deviation of the UAV caused by the mismatching of the size and direction of the force, and significantly improves the returning accuracy and stability of the UAV.

A vehicle loading event confirmation system comprising processing circuitry configured to determine that a vehicle has come to a standstill, receive from a camera associated with the vehicle, a captured image of an identification code, wherein the identification code is associated with a predefined loading event at which the vehicle is planned to become loaded or unloaded, receive from a sensor of the vehicle, event data indicative of an actual change in weight carried or pulled by the vehicle at the loading event, and transmit said identification code and vehicle data including said event data to an off-board server located remotely from the vehicle so as to allow the off-board server to provide information which enables a requester to determine whether or not the actual change in weight matches the expected change in weight.

The invention relates to a liquid-phase transfer barrel with a weighing function and a method for weighing materials in the liquid-phase transfer barrel, a weighing sensor is arranged in a top cover 2, a spring is arranged at the bottom of an inner barrel, and the elastic force of the spring to the inner barrel acts on the weighing sensor; the actual weight of the liquid-phase material is calculated by combining a pressure value detected by the weighing sensor with an air pressure value detected by the air pressure sensor, the actual weight is directly fed back to a user through the display panel, and the weight of the material stored in the inner barrel can be accurately displayed no matter when the material is filled or used and no matter the air pressure in the inner barrel is high or low. And a user can conveniently master the material storage amount in the barrel at any time.

This invention relates to the field of engineering vehicle technology, specifically disclosing a load monitoring method for a telescopic boom structure. The effective weight of the telescopic boom changes during operation, and this method aims to accurately obtain the load weight G. 物 Then, the insert attachment is removed, and the effective weight of the telescopic arm at any position in the working area is obtained as g. Subsequently, the insert attachment is installed on the other end of the telescopic arm, and after loading the cargo using the attachment, the total weight G of the telescopic arm, insert attachment, and cargo is obtained. 总 The weight of the goods, G 物 =G 总 -g-w is used to obtain the accurate weight of the cargo. By obtaining the effective weight g of the telescopic boom at different positions, the accuracy of cargo load-bearing can be improved, effectively avoiding safety accidents such as structural buckling, hydraulic system failure, or even the entire machine tipping over due to the actual weight of the cargo exceeding the maximum load.

The invention relates to a port crane weighing system calculation method, and relates to the technical field of crane weighing, and the method comprises the following steps: S1, presetting a calibration database, the calibration database comprises n different actual weight values and n detection weight values corresponding to the actual weight values, and n is a positive integer greater than or equal to 2; presetting the calibration dead weight Whook of the lifting hook; s2, obtaining a support sensor numerical value S1; acquiring a value S2 of an opening and closing sensor; s3, calculating a support output weight W1, wherein the support output weight W1 is equal to S1-Whook; calculating an opening and closing output weight W2, wherein the opening and closing output weight W2 is equal to S2-Whook; s4, calculating a weight difference value delta W, wherein the weight difference value delta W is equal to W1-W2; a weight judgment value A and a weight judgment value # imgabs0 # are calculated; S5, data calibration is carried out; and S6, calculating an output weight value G. The method has the effect of improving the accuracy of the obtained hoisting weight value.

The invention discloses an energy recovery torque distribution method, device and equipment, a medium and a program product, and relates to the field of torque distribution. Comprising the steps that the empty load weight, the full load weight and the actual weight of the semitrailer, the preset first axle load proportion between a main vehicle and the trailer in the empty load state, the preset second axle load proportion between the main vehicle and the trailer in the full load state, the total torque required by energy recovery, the SOC level of a main vehicle battery and the SOC level of a trailer battery are obtained; determining an initial axle load proportion according to the empty load weight, the full load weight, the actual weight, the first axle load proportion and the second axle load proportion; and according to the initial axle load proportion, the total torque required for energy recovery, the SOC level of the main vehicle battery and the SOC level of the trailer battery, the main vehicle energy recovery torque and the trailer energy recovery torque are determined, energy can be fully recovered, and the energy recovery rate of the semitrailer is increased.

The utility model relates to the technical field of carbon production devices, in particular to a table type feeder with a heat preservation function. According to the technical scheme, the device comprises a base, supporting pieces, a material receiving opening, a feeding tank, a discharging opening and a material waking tank, the supporting pieces are fixedly connected to the four corners of the base, the feeding tank is fixedly connected to the base, the material waking tank is arranged in the feeding tank, the material waking tank is fixedly connected to the base through the supporting pieces, and the material receiving opening is formed in the position, on the upper side of the feeding tank, of the upper side of the material waking tank; according to the device, the material flow is adjusted through the quantity control door, the quantity control door is located on the quantity control frame, it is ensured that the flow and the weight of materials are accurately controlled, the weight of the materials is monitored in combination with the weighing sensor, accurate feeding is achieved by adjusting opening and closing of the quantity control door, and the weighing sensor on the base can sense the weight of the materials; the transmission part responds to the weight measurement result of the weighing sensor through cooperation with the contact, and it is ensured that automatic adjustment can be achieved according to actual weight data, and needed material flowing and accurate control can be maintained.

The application discloses a method for quickly measuring the gravity center of an airplane, which comprises the following steps: setting a rectangular gravity measurement area, taking four vertexes of the gravity measurement area as gravity measurement points; making the airplane to be measured to be located in the gravity measurement area; and acquiring the actual weight and the actual gravity center position of the airplane to be measured according to the position information of the airplane in the gravity measurement area, the length and the width of the gravity measurement area and the gravity measurement information measured at the four vertexes of the gravity measurement area. Before taking off, the airplane enters the gravity measurement area to be quickly measured, the gravity center of the airplane to be measured is adjusted according to the position deviation between the actual gravity center position and the ideal gravity center position of the airplane to be measured and the weight and gravity center design envelope of the airplane to be measured, so that the gravity center of the airplane meets the limitation requirement, the quick and accurate measurement of the gravity center of the airplane before taking off is realized, and the flight safety is ensured.

The invention discloses an intelligent self-learning multi-interface grab bucket driving current weighing system and method. The system comprises a current acquisition module, a processing unit and a self-learning module. The current acquisition module supports analog current and digital current interfaces and is used for acquiring rising current and closing current of a grab bucket motor. The processing unit calculates a UC current value and calculates the weight of the materials according to a formula, G is the self weight of the grab bucket, the empty grab current, the current UC current value and the adjustable parameter, and g is the gravitational acceleration. And the self-learning module dynamically adjusts the parameters by comparing the actual weight with the predicted weight so as to reduce errors. The system has the advantages of being low in cost, easy and convenient to install, high in adaptability and the like, and is suitable for various grab crane weighing fields.

This invention relates to the field of road weighing platform technology, specifically to a weighing data-driven method, medium, and equipment for diagnosing measurement deviations on highway weighing platforms. The method includes acquiring multi-source data from a road weighing platform network monitoring system; constructing a vehicle cross-weighing platform passage chain and preprocessing the data; defining a weighing accuracy index and constructing a deviation diagnosis model; building a two-layer verification framework based on the HDBSCAN clustering algorithm; and outputting the weighing platform measurement deviation diagnosis results. This invention integrates the least squares method and an iterative reweighted optimization algorithm, which can accurately quantify the weighing accuracy index of the weighing platform affected by environmental and calibration factors, effectively solving the problem of vehicle actual weight estimation distortion caused by systematic deviations of the weighing platform, and ensuring the accuracy and convergence stability of the measurement deviation diagnosis.