39 results about "Weight difference" patented technology

The invention relates to the technical field of weight measurement of transported articles, in particular to a computer-aided high-efficiency weight measurement method and device, and the method comprises the steps: calculating the weight of an article according to the distribution of abnormal values in a weight sequence of the article collected by a sensor on a conveyor belt, and the overall weight difference between the sensor and other sensors; determining a deviation calibration factor of each weight sequence at the current moment; and correcting each weight sequence based on the deviation calibration factor, correcting the measured weight of the article twice by using a recursive filter for each corrected weight sequence, and taking the result of the two times of correction as the actual weight of the measured article. The invention aims to improve the accuracy of dynamically measuring the weight of the object.

The present disclosure relates to a method for determining a critical slip distance (CSD) for a sample, the method comprising: providing a force towards a sliding surface to the sample; sliding the sample along the sliding surface n times within a plurality of intervals, the plurality of intervals having different widths w, n being an integer > = 1; determining, for each width wi, a respective wear rate m (w) of a plurality of wear rates m (w) = [Delta] M / (n * wi), where [Delta] M is the weight difference of the sample after sliding the sample over n intervals of width wi compared to before the sliding; and determining the CSD as width w0 based on the plurality of wear rates and corresponding widths, where for any (I), # imgabs0 #

The invention discloses an optical path routing path calculation method, system and device and a computer readable medium, belongs to the technical field of mobile optical path service opening, and aims to solve the technical problem of how to reduce calculation complexity and reduce resources participating in calculation under the condition of multiple middle jump points. Comprising the following steps: weight definition: starting from a starting point or an ending point of a light path, acquiring resource paths of all reachable next hop points, and for each next hop point, allocating a weight to the next hop point according to the number of reachable paths, the smaller the number of reachable paths being, the higher the weight being; query definition: in recursive query, calculating a weight difference value of two sides starting from a starting point and an end point, and executing one-way query or two-way query according to a preset query rule based on the weight difference value; and query execution: for a to-be-queried light path, distributing a weight for each next hop point in the light path based on the weight definition, and executing recursive query based on the query definition.

This invention provides a method for controlling the weight of a solid tire carcass and its application, relating to the field of tire carcass technology. The method includes the following steps: (a) weighing the base rubber after molding and comparing it to the standard weight of the base rubber to obtain a weight difference value; (b) correcting the amount of intermediate rubber based on the weight difference value from step (a), weighing the tire carcass after molding the intermediate rubber, and comparing it to the standard weight of the intermediate rubber tire carcass to obtain a weight difference value; (c) correcting the amount of tread rubber used in one stage based on the weight difference value from step (b), weighing the tire carcass after molding the first stage of tread rubber, and comparing it to the standard weight of the first stage of tread rubber tire carcass to obtain a weight difference value; (d) correcting the amount of tread rubber used in the second stage based on the weight difference value from step (c), and molding the tread rubber in two stages to obtain the finished tire carcass. This invention, through segmented weighing and multi-stage correction, gradually offsets the weight errors in each molding stage, achieving a tire carcass weight error of ±0.1 kg, far superior to existing weight control precision.

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 invention discloses a chicken group weight distribution weighing method based on poultry grading weighing. The method comprises the following steps: weighing chicken flocks in different cages, performing mass grading, dividing the chicken flocks into a plurality of mass grades, inputting the weight of each cage of broiler chicken at each mass grade into handheld distributed weight measuring equipment for processing, and obtaining weight distribution before grading and a weight difference value before and after a weight boundary after grading, then, after distribution linear superposition is carried out, a chicken population redistribution weighing model is established; carrying out sampling iteration processing on a weight data set constructed by the weight of each cage broiler chicken to obtain a posterior probability of the weight data set, further obtaining an estimated distribution parameter, inputting the estimated distribution parameter into a model, processing the estimated distribution parameter, and outputting graded broiler chicken weight distribution to realize distributed weight measurement. According to the method, in actual production, the number of times of weighing the broiler chickens can be reduced, high-precision automatic analysis of the weight distribution of the broiler chicken group is achieved in a mass grading mode, and poultry production and breeding are further guided.

The invention relates to the technical field of resistor disc glue content precision measurement, in particular to a method and device combination for detecting the glue content in a resistor disc. According to the detection method provided by the invention, the glue in the resistor disc can be completely discharged through the specific heat treatment curve, so that the glue content in the resistor disc can be accurately obtained by utilizing the weight difference of the resistor disc before and after heat treatment, and whether the glue content of the same batch of resistor discs meets the standard or not can be accurately deduced; the glue content of the resistor disc can be accurately measured, the problem that an existing method cannot accurately measure the glue content is solved, and the production quality of the resistor disc is improved. The operation is simple, and large-scale production is facilitated; in the measuring process, the resistor disc cannot be damaged, so that the performance of the resistor disc is ensured; the requirement on equipment is low, and high-precision equipment is not needed, so that the production cost is reduced; the glue content can be accurately measured, and the production efficiency and the product quality are improved.

A method of training a model includes configuring a first transformer for visual learning with a first set of weights, configuring a second transformer for textual learning with a second set of weights, adjusting at least the second set of weights based on minimizing a weight difference between the first set of weights and the second set of weights, replacing the first set of weights for the first transformer with the adjusted second set of weights, and updating the first transformer based on the adjusted second set of weights.

The application discloses a method, system and controller of a stockyard storage and transportation warehouse. The method comprises the following steps: receiving three-dimensional data of a stockpile before and after loading respectively sent by a measuring device; determining an initial material volume according to the three-dimensional data of the stockpile before loading; determining a target material volume according to the three-dimensional data of the stockpile after loading; determining a volume difference as a difference between the target material volume and the initial material volume; obtaining the weight of the stockpile before and after loading respectively; determining a weight difference according to the weight of the stockpile before and after loading; determining a volume-weight ratio according to the volume difference and the weight difference; and determining a target material weight as a product of the volume-weight ratio and the target material volume. The application determines the weight according to the volume-weight ratio by measuring the stockpile in three dimensions to obtain the volume, thereby reducing manual operation and improving the accuracy and efficiency of the warehouse.

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 present application relates to material dispensing equipment technical field, specifically relates to a kind of ingredient dispensing system, it includes material dispensing part and receiving part, the material dispensing part is provided with several storage containers, the lower part of the storage container is provided with the unloading mechanism for unloading material, material dispensing part is also provided with the weighing sensor for weighing storage container, the receiving part is provided with several stations, each station is respectively provided with the container site for placing packaging container, the material dispensing part and receiving part are opposite activity, so that the each station of receiving part and the each storage container of material dispensing part are alternately aligned to unload material to packaging container.The present application can utilize weighing sensor to weigh storage container, to accurately obtain the weight of material in storage container, measure the weight of storage container before and after ingredient dispensing respectively, by comparing weight difference, whether there is leakage condition can be judged.

The invention discloses a weighing calibration method and device for cooking equipment, a medium and equipment, and the method comprises the steps: obtaining weight data at intervals of different stages after monitoring that a container is put in and a sealing part is closed, calculating the weight difference between the two stages, and recognizing the influence of zero drift caused by an external force and the weight of the sealing part on measurement. By means of minimizing the influence and eliminating the weight of the container, the method can accurately calculate the actual weight of the food in the cooking equipment, effectively solves the problem that the zero point of the sensor deviates after the equipment is closed due to overexertion, and ensures the accuracy of food weight measurement.

An energy-saving control method for an injection molding machine includes: training an energy consumption prediction model based on the historical production parameters of the injection molding machine and the historical production energy consumption corresponding to the historical production parameters; training a weight difference prediction model based on the historical production parameters and the historical product weight difference corresponding to the historical production parameters; executing an optimization algorithm based on an objective function to try multiple sets of production parameters, inputting each set of production parameters into the energy consumption prediction model and the weight difference prediction model to obtain predicted production energy consumption and predicted product weight difference, and finding a set of optimal production parameters for optimizing the objective function.

The invention belongs to the technical field of intelligent breeding, and relates to a pig health intelligent monitoring method and system based on multi-modal perception and a readable medium, and the method comprises the following steps: identifying the ingestion behavior of a pig, and judging the age of the pig in days; when the ingestion behavior starts, the weight of the pig is measured through a weight sensor, and when the ingestion behavior ends, the weight of the pig is measured again; calculating the weight difference of the pigs before and after the ingestion behavior as the actual ingestion amount of the pigs; inputting the day age, the weight and the actual feed intake of the pig into a feed intake prediction model to obtain the calibrated feed intake of the pig; and outputting a health risk index based on a dynamic feed conversion ratio model according to the calibrated feed intake of the pigs and the weight increment of the pigs. By fusing the RGB image and the weight data, a behavior-weight-health linkage model is constructed, and non-contact, high-precision and verifiable pig health management is realized.

The invention discloses a method and device for detecting the number of hooked commodities and a storage medium, and belongs to the technical field of commodity management systems. Comprising the steps of determining a commodity weight value of a commodity on a hook based on weight sensor data, performing time sequence analysis on the commodity weight value, constructing weight time sequence data, identifying a target data segment in the weight time sequence data through a preset sliding time window, identifying waveform features of the target data segment through an event analysis model, and determining a weight sequence of the commodity on the hook. And determining a weight change event of the commodity weight value based on the waveform feature, calculating a weight difference value of the commodity according to the weight change event and the waveform feature, calculating a commodity change quantity according to the weight difference value and the commodity unit weight corresponding to the hook, and updating commodity quantity information corresponding to the hook. The commodity weight value is determined according to the received weight sensor data, and the change of the commodity number is analyzed according to the commodity weight value, so that the fine perception of the change of the commodity number is realized, and the accuracy of inventory management is improved.

The disclosure relates to a method for calculating the water consumption of a pet water dispenser, comprising: S1: determining whether a pet has arrived, if not, obtaining an initial weight value and an initial stable timestamp; if yes, setting a countdown time and starting the countdown; S2: setting a required monitoring time interval, obtaining the weight difference before and after each time interval; S3: determining whether the weight difference is within a normal range, if yes, resetting the countdown time and repeating step S2; if not, calculating an abnormal value and adding it to obtain an abnormal total value; S4: determining whether the pet has left, if yes, obtaining the current weight value and the current stable timestamp, and calculating the difference between the two to obtain a preliminary water consumption; S5: determining whether the preliminary water consumption is within a normal water consumption range, if yes, the true water consumption; if not, calculating the difference between the preliminary water consumption and the abnormal total value to obtain the true water consumption. The total water consumption and the water consumption of each time are accurately calculated, effectively avoiding interference from external factors such as adding water or touching the pet water dispenser.

The invention discloses a method for improving the weight qualification rate of in-furnace plate blanks. The method comprises the following steps: (1) measuring and calculating a weight difference influence factor K of section blanks with different thicknesses by utilizing an actual weighing weight difference and stokehold measurement data; (2) a weight difference measurement formula C = K * (Lmeasured Bmeasured / L0B0)-1 is programmed in a stokehole plate blank measurement system program, Lmeasured is measured length, Bmeasured is measured width, L0 is theoretical length, B0 is theoretical width, and the weight difference is automatically calculated after the plate blank is subjected to stokehole length measurement and width measurement; (3) system setting: when-0.3% < = C < = 3%, the plate blank automatically passes to the front of a furnace to wait for steel loading, under other conditions, the plate blank automatically stops after passing through a length measuring device, is lifted down before being opened back to a width measuring device, and meanwhile, a blank worker is notified to change the theoretical size of the system; and (4) correcting stokehole width measurement and length measurement data once a month. The method has the advantages that the weight difference qualification rate of the in-furnace plate blanks is increased, the rolling size non-planning caused by insufficient plate blank weight is reduced, and the production cost is reduced.

The application discloses an indoor scene visual recognition method and system fusing multiple balance strategies, and comprises the following steps: using a preheated model to calculate the class center of each class in a long-tail training set; constructing multiple training subsets with different feature distributions through different resampling strategies; combining a self-defined loss function, training the preheated model using the training subsets until the loss function converges, and making the model tend to learn balanced features among the training subsets; and processing the feature imbalance problem within the classes in the training set. Meanwhile, a regular term is applied to the classifier to adjust the weight difference of the head and tail classes, and a trained model is obtained after the loss function converges to a certain extent, so that the imbalance of the weights of each class on the classifier caused by the imbalance of the class samples in the training set is reduced. The application simultaneously solves the problems caused by the imbalance of the class samples and the imbalance of the non-class attributes of the intra-class samples in the model training.

The application discloses a kind of based on weight difference method's tow dynamic uniformity adjustment control system, including first weighing sensor, second weighing sensor, third weighing sensor, first roller, second roller, third roller, belt, drive motor, centralized controller.The system of the present application proposes to measure the weight of roller using weighing sensor, according to the weight difference between rollers, indirectly obtain the dynamic weight of tow per unit length, according to the dynamic weight of tow per unit length, control the speed of traction motor, so as to adjust draft ratio, dynamically and automatically adjust tow uniformity.

The invention provides a live pig leg and foot disease screening and early warning method based on gait analysis and weight estimation, and relates to the technical field of livestock breeding intelligent monitoring, and the method comprises the steps: collecting side video data and depth image data when a pig walks in a preset channel; estimating the current weight of the pig according to the mapping relation between the body size parameter and the weight; frame-by-frame analysis is carried out on the side video data, a gait anomaly index is constructed, and the gait anomaly index is a quantized value of the deviation degree of the current gait feature parameters and the standard gait parameter library of the healthy pigs with the same weight. According to the method, the weight of the pig is estimated in real time through the depth image data, and the correlation model of the weight and the gait parameters is established. When it is judged that the gait is abnormal, the current gait parameter is compared with the standard gait parameter of the healthy pig with the same weight, interference of weight difference on gait judgment is effectively eliminated, and the false alarm rate is remarkably reduced.

This invention discloses a method, apparatus, device, medium, and product for determining the overall vehicle lightweighting level. The method includes: acquiring a target vehicle model and identifying multiple competing vehicle models corresponding to the target model; analyzing the equivalent weight of the multiple competing vehicle models relative to the boundary of the target vehicle model; wherein the equivalent weight includes weight differences caused by factors such as battery, motor, size, configuration, performance, materials, and overall vehicle weight; and determining the overall vehicle lightweighting level of the multiple competing vehicle models based on the equivalent weight corresponding to each competing vehicle model. This method considers the influence of factors such as battery, motor, size, configuration, performance, materials, and overall vehicle weight on vehicle weight, and derives the equivalent weight of competing vehicle models based on the boundary of the target vehicle model, enabling a more comprehensive and objective determination of the overall vehicle lightweighting level.

The embodiment of the application relates to a fattening pig group intelligence weighing management method and system based on a patrol robot, and belongs to the technical field of livestock breeding, and comprises the following steps: collecting weight data through a patrol robot, generating a group average weight trend line and calculating daily weight gain through double-stage smoothing, calculating a comprehensive deviation degree after constructing a dynamic standard curve, generating differentiated feeding parameters by connecting an intelligent feeding system through a three-level control mode, triggering an abnormal early warning based on multidimensional correlation verification, calculating a feed-meat ratio according to a health state and material tower discharging data, and adopting a multilevel early warning and gradient switching strategy to optimize a feed formula switching time. According to the embodiment of the application, pigs are dynamically grouped according to weight differences, and feeding strategies are adjusted, an optimal finishing plan is generated by comprehensively considering economic factors, abnormalities are identified through multidimensional verification and a health state is output, formula switching decisions are made, and a complete data processing flow of breeding pigs from data collection to execution feedback is formed.

The present application discloses a feeding control method, a feeding device, a feeding system and a cooking device, the method comprising: determining a target feeding amount and an initial weight value weighed by a weighing component; controlling a target discharge component to discharge a target seasoning in a target storage container according to the target feeding amount; obtaining a current weight value of the target seasoning weighed by the weighing component during the discharge process; and controlling the target discharge component to close when the difference between the target feeding amount and the weight difference is not greater than a preset weight threshold. The present application controls the target discharge component to close when the difference between the target feeding amount and the weight difference is not greater than a preset weight threshold, rather than controlling the target discharge component to close when the target feeding amount and the weight difference are completely equal. This can avoid the problem of the actual feeding amount exceeding the target feeding amount due to device delay, ensure the consistency between the actual feeding amount and the target feeding amount, improve the feeding accuracy during cooking, and ensure the reliability of the feeding device.

The embodiment of the present disclosure provides a personalized learning path recommendation method based on a fractal recursive structure, comprising: acquiring learning behavior data of a user and constructing a multi-level knowledge network graph; using a fractal recursive algorithm to assign weights to the knowledge network graph and expand the structure; generating an initial learning sequence according to the weight difference of the nesting relationship between knowledge nodes; and optimizing and adjusting the arrangement order of the knowledge points in the learning sequence based on a dynamic regulation strategy. Through the scheme of the embodiment of the present disclosure, the problem of how to regulate the learning sequence of the recommended path according to the weight difference of the multi-level nesting relationship between knowledge points to solve the problem of low knowledge transfer efficiency can be solved.

The present invention provides an integrated marketing closed-loop management system and method, relating to the field of marketing management. The system comprises: an intent analysis module that captures user behavior data in real time and generates intent labels; a resource management module that calculates a weight difference based on the difference between the label and the resource occupant's label, triggering a preemption execution module when the weight difference exceeds a threshold; a preemption execution module that migrates high-intent user data and monitors the original occupant's intention to trigger resource release, feeding the result back to a feedback learning module; a feedback learning module that adjusts intent generation rules based on the preemption success rate and conflict rate; and a degradation control module that switches to traditional allocation logic when a transaction times out or a conflict exceeds a limit, freezes unfinished operations, and rolls back to a resource snapshot. The modules work together to achieve efficient management and dynamic allocation of marketing resources, improving system operational efficiency and stability.

The invention discloses a dynamic filtering weighing method of a filling machine and a storage medium, and the method comprises the steps: controlling a vibration disc to vibrate at a first speed, and enabling tea leaves to fall into a scale pan; continuously collecting weight data of a scale sensor, and performing low-pass filtering processing; the cut-off frequency of the low-pass filter is a preset first frequency; continuously calculating a weight difference value between the filtered weight data and the target weight, when the weight difference value is smaller than a rough weighing threshold value, adjusting the vibration disc to vibrate at a second rate, and adjusting the cut-off frequency of the low-pass filter to be a preset second frequency which is smaller than the first frequency; when the weight difference value is smaller than a fine weighing threshold value, the vibration disc is controlled to stop vibrating; low-pass filtering is adopted in the rough weighing stage to set high cut-off frequency so as to quickly respond to large weight changes, filtering is switched to low cut-off frequency in the fine weighing stage so as to adapt to accurate fine adjustment, shaking frequency changes in different stages can be adapted, and therefore the accuracy of the final filling weight is ensured.

The invention relates to the technical field of tire manufacturing, in particular to a building machine specification replacement mistake proofing method which comprises the steps that weight data of a current tire and weight data of a previous tire are obtained; performing validity screening on the collected actual weight data, calculating an absolute value of a standard weight difference value between the current tire and the previous tire, triggering an alarm if the absolute value is greater than a set threshold value, and calculating a comprehensive weight difference at the same time; determining a bolt adjustment direction according to the comprehensive weight difference, calculating a bolt adjustment amount based on the comprehensive weight difference, and displaying an adjustment prompt; the deviation between the actual height and the preset height is calculated, if the deviation is not larger than a set deviation value, alarming is stopped, reset operation is unlocked, and if the deviation is larger than the set deviation value, alarming is kept, and a readjustment prompt is displayed till the deviation is not larger than the set deviation value. According to the invention, the specification switching efficiency and the adjustment precision are improved, the waste tire rate caused by specification replacement is reduced, and the stability of the tire production quality is guaranteed.

The invention provides a fault detection method and device, a readable storage medium and cooking equipment, and the method comprises the steps: obtaining a first weighing value and a second weighing value outputted by a weighing device under the condition that the cooking equipment operates according to a first cooking program, and the first cooking program is a cooking program for cooking through pressure; determining a weight difference value between the first weighing value and the second weighing value; and determining that the cooking equipment has an air leakage fault based on the weight difference. In the process, the user does not need to listen to the sound during air leakage by ears or perceive the air flow by hands. Compared with a method for autonomously judging whether the air leakage fault exists or not by the user, the fault detection method provided by the invention can get rid of the problem of misjudgment existing in air leakage fault detection based on user participation, so that the probability of misjudgment of the air leakage fault is reduced, and the accuracy of air leakage fault judgment is improved.

The invention discloses a multifunctional integrated intelligent weighing system and method based on artificial intelligence, and belongs to the technical field of intelligent weighing. The method comprises the following steps: collecting weight data when objects are weighed in history, analyzing all the collected weight data, and classifying the weighed objects according to the weights; according to the classified weight data of each weighing object, analyzing the weight difference amplitude of each object to generalize the weight data, and calculating a range division limit value when the object is weighed to obtain different ranges for weighing the object; the method comprises the following steps: collecting data of object weight abnormity when an object is weighed in history, and calculating to obtain an abnormity threshold value of the weight of each object; when the object is weighed in real time, the weight of the object which is weighed in real time is judged by using the division limit values of the different measuring ranges, and a weighing range is selected; and judging whether an abnormal risk exists in the weight of the weighed object or not by using the weighing threshold value of the object with each weight, and sending out an early warning.