Nonferrous metal processing information control device and method

Abstract

A nonferrous metal processing information control device and method, sampling the quality values ​​at several set positions between the bottom of the crucible and the bottom of the furnace body, obtaining several quality value queues, obtaining the numerical fluctuation amplitude of each quality value queue, obtaining the difference of the past quality values ​​of each quality value queue based on the past quality values, thereby obtaining the quality value change attribute value of the current melting process, and obtaining the noise value amplitude of the current time point quality value corresponding to each quality value queue accordingly, thereby obtaining the quality value of the current time point quality value corresponding to each quality value queue after the noise value is removed. The present invention improves the performance of the quality value removing the noise value through the neighborhood size in the active neighborhood smoothing method, obtains the correct and reliable quality value, thereby improving the function of monitoring the quality of the nonferrous metal material in the crucible.

Description

Technical Field

[0001] The present invention belongs to the technical field of nonferrous metal processing information control, and in particular relates to a nonferrous metal processing information control device and method. Background Art

[0002] Nonferrous metals, in a narrow sense, are also called non-ferrous metals. They refer to all metals except iron (sometimes manganese and chromium) and iron-based alloys. They can be divided into heavy metals (such as copper, lead, zinc), light metals (such as aluminum, magnesium), precious metals (such as gold, silver, platinum) and rare metals (such as tungsten, molybdenum, germanium, lithium, lanthanum, uranium). Nonferrous metals in a broad sense also include nonferrous alloys, which are alloys composed of a type of nonferrous metal as a matrix (usually greater than 50%) and one or more other elements. Nonferrous metals are the basic materials for the development of the national economy. Most industries such as aviation, aerospace, automobiles, machinery manufacturing, electricity, communications, construction, and home appliances use nonferrous metal materials as the basis for melting and processing. With the rapid development of modern chemical industry, agriculture, and science and technology, nonferrous metals are becoming more and more important in human development. It is not only an important strategic material and an important melting and processing material in the world, but also an important material for indispensable consumer materials in human life.

[0003] Nonferrous metals are often processed, and the existing technical solution with patent publication number "CN211451821U" is often used to perform melting processing on nonferrous metals, that is, using a nonferrous metal melting furnace to perform melting processing on nonferrous metals, which includes: a gravity transmitter connected to a controller is installed between the bottom of the crucible and the bottom of the furnace body of the nonferrous metal melting furnace, and the gravity transmitter is used to sample the quality of the nonferrous metal material in the crucible and transmit it to the controller, so as to monitor the quality of the nonferrous metal material in the crucible in real time.

[0004] The quality value sampled and transmitted to the controller is often disturbed by external electromagnetic waves and carries a lot of noise values, which will weaken the reliability of the quality of the non-ferrous metal materials in the crucible of the non-ferrous metal melting furnace. The neighborhood smoothing method is now widely used to perform noise value removal processing. However, when the neighborhood size of this method is not selected appropriately, the noise value removal function will be poor, and the reliability of the quality value after the noise value is still not high, thereby weakening the function of monitoring the quality of the non-ferrous metal materials in the crucible. Summary of the invention

[0005] In order to solve the defects in the prior art, the present invention proposes a non-ferrous metal processing information control device and method, sampling the quality values ​​at several set positions between the bottom of the crucible and the bottom of the furnace body, obtaining several quality value queues, obtaining the numerical fluctuation amplitude of each quality value queue, and obtaining the difference of the past quality values ​​of each quality value queue based on the past quality values, thereby obtaining the quality value change attribute value of the current melting process, and obtaining the noise value amplitude of the current time point quality value corresponding to each quality value queue, thereby obtaining the quality value of the current time point quality value corresponding to each quality value queue after removing the noise value. The present invention improves the performance of removing the noise value of the quality value through the neighborhood size in the active neighborhood smoothing method, and obtains correct and reliable quality values, thereby improving the function of monitoring the quality of non-ferrous metal materials in the crucible.

[0006] The present invention utilizes the following technical solutions.

[0007] A nonferrous metal processing information control method, comprising:

[0008] Several gravity transmitters sample the mass value of nonferrous metal materials in the crucible of the nonferrous metal melting furnace and transmit it to the controller for processing to obtain the mass value after removing the noise value;

[0009] The method of sampling the mass value of nonferrous metal materials in a crucible with a gravimetric transmitter and transmitting the mass value to a controller for processing to obtain the mass value after removing the clutter value comprises:

[0010] Step 1, during the current melting process of nonferrous metals using a nonferrous metal melting furnace, the mass values ​​at a number of set positions are arranged according to the order of their sampling time points to obtain a number of mass value queues; any mass value queue is defined as a target queue; according to the difference between the values ​​in the target queue, the value fluctuation amplitude of the target queue is obtained;

[0011] Step 2, according to the quality value of the nonferrous metal in the previous melting process round corresponding to the target queue, obtain the difference of the past quality value of the target queue; according to the value fluctuation amplitude of the entire quality value queue and the difference of the past quality value, obtain the quality value change attribute value of the current melting process;

[0012] Step 3, define the last quality value in each quality value queue as the quality value at the current time point corresponding to each quality value queue; obtain the noise value amplitude of the quality value at the current time point corresponding to each quality value queue according to the quality value change attribute value of the current melting process, the difference of the past quality values ​​of the entire quality value queue, and the quality value at the current time point;

[0013] Step 4, according to the noise value amplitude of the current quality value of each quality value queue, obtain the middle value of the current quality value of each quality value queue after removing the noise value, and then average the middle values ​​of all the current quality values ​​after removing the noise value to obtain the quality value of the current quality value after removing the noise value.

[0014] Preferably, the sampling time points of several gravity transmitters are synchronized.

[0015] Preferably, Step 1 specifically includes: using a comparison method to obtain a number of partial peak and valley value points in the destination queue.

[0016] Preferably, the comparison method is to compare each quality value in the destination queue with its two adjacent quality values ​​on both sides in turn. If the quality value is higher or lower than the two adjacent quality values ​​on both sides, the quality value is determined to be a distribution peak and valley value point.

[0017] Preferably, Step 1 specifically includes: the numerical fluctuation amplitude of the destination queue The operational equation is:

[0018] In the equation, is the numerical fluctuation amplitude of the destination queue, is the RMS value of all the peak and valley points in the destination queue. is the highest value among all the quality values ​​in the destination queue. is the lowest value among all the quality values ​​in the destination queue. The Z-score method is used to Implement standardization.

[0019] Preferably, Step 2 specifically includes: defining the gravity transmitter corresponding to the destination queue as the destination transmitter;

[0020] In several melting processing rounds before the current melting processing of the non-ferrous metal, the mass values ​​sampled by the destination transmitter are arranged in the order of the sampling time points to obtain several past quality value queues corresponding to the destination queue.

[0021] According to the calculation method of the value fluctuation amplitude of each quality value queue, the value fluctuation amplitude of each past quality value queue corresponding to the target queue is obtained;

[0022] The root mean square of the numerical fluctuation amplitudes of all past quality value queues corresponding to the destination queue is defined as the past quality value difference amount of the destination queue.

[0023] Preferably, Step 2 specifically includes: the quality value change attribute value of the current melting process The operational equation is:

[0024] In the equation, It is the mass value change attribute value of the current melting process. is the number of quality value queues, It is The numerical fluctuation amplitude of the quality value queue, is the average value fluctuation amplitude of the entire quality value queue, It is The difference between the past quality values ​​of the quality value queues, It is The reliability of the quality value queue, The Z-score method is used to Execute standardization, The Z-score method is used to Implement standardization.

[0025] Preferably, Step 3 specifically includes: defining a quality value queue of a non-destination queue as a basic queue;

[0026] The calculation equation of the noise value amplitude F of the current time point quality value corresponding to the destination queue is executed:

[0027] In the equation, is the noise value amplitude of the quality value of the destination queue at the current time point, It is the mass value change attribute value of the current melting process. is the number of base queues, is the current quality value of the destination queue, It is The current quality value of the basic queue, is the difference in the past quality values ​​of the destination queue, It is The difference between the past quality values ​​of the basic queues, The Z-score method is used to Execute standardization, The Z-score method is used to Implement standardization.

[0028] Preferably, Step 4 specifically includes: the operation equation of the neighborhood size of the current time point quality value corresponding to the destination queue is:

[0029] In the equation, is the neighborhood size of the current quality value of the destination queue, is a predefined constant, is the noise value amplitude of the quality value of the destination queue at the current time point, is a predefined neighborhood size.

[0030] Based on this, in the destination queue, according to the neighborhood size of the current quality value of the destination queue, the neighborhood smoothing method is used to perform noise removal processing to obtain the middle value of the current quality value of the destination queue after noise removal, and then the middle values ​​of all the current quality values ​​after noise removal are averaged to obtain the quality value of the current time point after noise removal.

[0031] A nonferrous metal processing information control device, comprising:

[0032] A plurality of gravity transmitters connected to the controller are respectively installed at a plurality of set positions between the bottom of the crucible of the non-ferrous metal melting furnace and the bottom of the furnace body. The plurality of gravity transmitters are used to sample the mass value of the non-ferrous metal material in the crucible of the non-ferrous metal melting furnace and transmit it to the controller for processing to obtain the mass value after removing the noise value;

[0033] The modules running on the controller include:

[0034] A definition module is used to arrange the quality values ​​at a plurality of set positions according to the order of sampling time points during the current melting process of nonferrous metals by using a nonferrous metal melting furnace to obtain a plurality of quality value queues; define any quality value queue as a target queue; and obtain the value fluctuation amplitude of the target queue according to the difference between the values ​​in the target queue;

[0035] A change module, which is used to obtain the difference of the past quality values ​​of the target queue according to the quality values ​​of the non-ferrous metals in the previous melting processing rounds corresponding to the target queue; and obtain the quality value change attribute value of the current melting processing according to the numerical fluctuation amplitude and the difference of the past quality values ​​of the entire quality value queue;

[0036] The acquisition module is used to define the last quality value in each quality value queue as the quality value at the current time point corresponding to each quality value queue; according to the quality value change attribute value of the current melting process, the difference amount of the past quality values ​​of all quality value queues, and the quality value at the current time point, the noise value amplitude of the quality value at the current time point corresponding to each quality value queue is obtained;

[0037] The cleaning module is used to obtain the intermediate value of the current time point quality value of each quality value queue after removing the noise value according to the noise value amplitude of the current time point quality value of each quality value queue, and then average the intermediate values ​​of all current time point quality values ​​after removing the noise value to obtain the quality value of the current time point after removing the noise value.

[0038] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0039] The mass values ​​at several set positions between the bottom of the sampling crucible and the bottom of the furnace body are obtained, and several mass value queues are obtained. The numerical fluctuation amplitude of each mass value queue is obtained, and the difference of the past mass values ​​of each mass value queue is obtained according to the past mass values, so as to obtain the mass value change attribute value of the current melting process, and the noise value amplitude of the current time point mass value corresponding to each mass value queue is obtained accordingly, so as to obtain the mass value of the current time point mass value corresponding to each mass value queue after the noise value is removed. The present invention improves the performance of removing the noise value of the mass value through the neighborhood size in the active neighborhood smoothing method, and obtains correct and reliable mass values, thereby improving the function of monitoring the quality of non-ferrous metal materials in the crucible. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a flow chart of the nonferrous metal processing information control method described in the present invention;

[0041] Figure 2 It is a partial structural diagram of the nonferrous metal processing information control device described in the present invention. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the present invention clearer, the following will be combined with the drawings in the embodiments of the present invention to clearly and completely express the technical solution of the present invention. The embodiments expressed in this application are only some embodiments of the present invention, not all embodiments. According to the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the protection scope of the present invention.

[0043] like Figure 1 As shown, a non-ferrous metal processing information control method according to the present invention comprises:

[0044] Several gravity transmitters sample the mass value of nonferrous metal materials in the crucible of the nonferrous metal melting furnace and transmit the sample to the controller for processing to obtain the mass value after removing the noise value, so as to monitor the mass of the nonferrous metal materials in the crucible in real time;

[0045] In a preferred but non-limiting implementation method of the present invention, the sampling time points of the plurality of gravity transmitters are synchronized, that is, the sampling time points of the plurality of gravity transmitters are the same.

[0046] The method of sampling the mass value of nonferrous metal materials in a crucible with a gravimetric transmitter and transmitting the mass value to a controller for processing to obtain the mass value after removing the clutter value comprises:

[0047] Step 1, during the current melting process (i.e., the current round of melting process, a round of melting process is a complete melting process of nonferrous metals) of nonferrous metals using a nonferrous metal melting furnace, a number of gravity transmitters are used to transmit the mass values ​​of a number of set positions between the bottom of the crucible where the samples are taken and the bottom of the furnace body, and the mass values ​​of the number of set positions are arranged in the order of the sampling time points to obtain a number of mass value queues; any mass value queue is defined as a target queue; and the value fluctuation amplitude of the target queue is obtained according to the difference between the values ​​in the target queue;

[0048] During the current melting process of nonferrous metals, a number of gravity transmitters are used to transmit the mass values ​​of a number of set positions between the bottom of the crucible where the samples are taken and the bottom of the furnace. The mass values ​​at the number of set positions are arranged in the order of the sampling time points to obtain a number of mass value queues.

[0049] In the preferred but non-restrictive implementation method of the present invention, the melting process of non-ferrous metals using a non-ferrous metal melting furnace can be divided into different rounds, and each melting process round corresponds to a complete melting process stage. The current melting process is the current melting process, that is, the melting process has not yet been completed, so the time interval of the sampled mass value is: the time interval between the start melting process of the current melting process and the current time point, and in a completed melting process round, each gravity transmitter will sample the mass value from the start melting process to the end of the melting process, and obtain a mass value queue, and during the melting process of non-ferrous metals, it is very important to ensure that the mass value is stable and that the mass values ​​of each point between the bottom of the crucible and the bottom of the furnace body are similar, so the present application installs gravity transmitters at several different points between the bottom of the crucible and the bottom of the furnace body to monitor the mass values ​​at several set points between the bottom of the crucible and the bottom of the furnace body, that is, the values ​​in each mass value queue should be similar, and the values ​​between all mass value queues should be similar.

[0050] Due to the limitation of its own structure, it is not easy for the transmitter to achieve correct sampling. Different transmitters have different accuracy due to factors such as individual difference. Therefore, the noise value amplitude of the sampled quality value of different transmitters will also be different. This application uses the neighborhood smoothing method to perform noise value removal. This method needs to define a neighborhood size. When the neighborhood is too high, a lot of quality values ​​will be lost. When the neighborhood is too low, the noise value removal function is not good. Therefore, this application represents the transmitter by the difference between the quality value sampled by a transmitter at the current time point and the quality value sampled by another transmitter. The noise amplitude, and different melting process cycles, often involving different machines or manual operations, result in different rates of non-ferrous metal addition in the non-ferrous metal melting furnace, resulting in changes in the quality configuration of the corresponding non-ferrous metal melting process stage. The quality changes in different melting process cycles have different probabilities, so it is necessary to quantify the quality change attributes of each melting process cycle, and limit the noise amplitude through the quality change attributes of the current melting process. Finally, according to the noise amplitude of each sensor, a reasonable neighborhood size is obtained.

[0051] According to the above analysis, the mass value changes in different melting process cycles often have different conditions. It is necessary to further analyze the mass value changes between the bottom of the crucible and the bottom of the furnace to obtain a digital mass value change attribute of each melting process cycle. The same melting process cycle contains the mass values ​​of several sensors, so the mass value change attribute of the melting process cycle can be expressed through the rules of mass value changes between different sensors in the corresponding cycle. For each transmitter, the property of its mass value change in the current melting process can be represented by the root mean square of the mass values ​​at different time points. Under reasonable conditions, the mass value of non-ferrous metal materials does not change much with time, and it is difficult to perform analytical processing. Therefore, the mass value change of the partial peak and valley points is used to highlight the fluctuation and make the fluctuation more obvious. The differential value is obtained by calculating the differential value of the mass value, and the number of partial peak and valley points of the mass value change of the target transmitter sampled in the corresponding melting process cycle is obtained through the differential value. Therefore, the change of the mass value sampled by the transmitter in one cycle can be represented by the root mean square of the mass value of the partial peak and valley points.

[0052] Step 1 specifically includes: defining a random quality value queue as a destination queue;

[0053] Use the comparison method to obtain several peak and valley value points in the target queue.

[0054] In a preferred but non-restrictive implementation method of the present invention, the comparison method is to compare each quality value in the destination queue with the two adjacent quality values ​​on both sides in turn. If the quality value is higher or lower than the two adjacent quality values ​​on both sides, the quality value is determined to be a partial peak and valley value point.

[0055] In a preferred but non-limiting implementation method of the present invention, Step 1 specifically includes: the numerical fluctuation amplitude of the destination queue The operational equation is:

[0056] In the equation, is the numerical fluctuation amplitude of the destination queue, is the RMS value of all the peak and valley points in the destination queue. is the highest value among all the quality values ​​in the destination queue. is the lowest value among all the quality values ​​in the destination queue. The Z-score method is used to Implement standardization.

[0057] and The higher the value, the stronger the fluctuation of the corresponding quality value of the destination queue. The higher the value, the higher the fluctuation of the corresponding quality value of the destination queue. Indicates the fluctuation range of the destination queue.

[0058] According to the above method, the numerical fluctuation amplitude of each quality value queue is obtained.

[0059] Step 2, according to the quality value of the nonferrous metal in the previous melting process round corresponding to the target queue, obtain the difference of the past quality value of the target queue; according to the value fluctuation amplitude of the entire quality value queue and the difference of the past quality value, obtain the quality value change attribute value of the current melting process;

[0060] In a preferred but non-limiting implementation method of the present invention, Step 2 specifically includes: defining the gravity transmitter corresponding to the destination queue as the destination transmitter;

[0061] In several melting processing rounds before the current melting processing of the non-ferrous metal, the mass values ​​sampled by the destination transmitter are arranged in the order of the sampling time points to obtain several past quality value queues corresponding to the destination queue.

[0062] A non-ferrous metal melting furnace is used to melt non-ferrous metals. In a certain period of time, only one type of non-ferrous metal is melted. Therefore, the type of non-ferrous metal melted in the current melting process is the same as that in the previous several melting process rounds, and the installation position of the target transmitter is constant. In each melting process round, the target transmitter will sample a mass value queue, that is, the several mass value queues sampled by the target transmitter in the several melting process rounds before the current melting process are the previous mass value queues corresponding to the target queue, and the target queue is similar to the corresponding previous mass value queues.

[0063] According to the calculation method of the value fluctuation amplitude of each quality value queue, the value fluctuation amplitude of each past quality value queue corresponding to the target queue is obtained;

[0064] The root mean square of the numerical fluctuation amplitudes of all past quality value queues corresponding to the destination queue is defined as the past quality value difference amount of the destination queue.

[0065] According to the above method, the difference in past quality values ​​of each quality value queue is obtained.

[0066] The above analysis obtains the mass value change attribute value of each transmitter in each melting process round, that is, the numerical fluctuation amplitude of each mass value queue, comprehensively analyzes the arrangement rules of the mass value change attribute values ​​of all transmitter samples in the current melting process, and obtains the mass value change attribute of the current melting process, that is, the change attribute of the mass value of a melting process round can be represented by the fluctuation of the mass values ​​sampled by different transmitters in the round.

[0067] In the preferred but non-limiting implementation method of the present invention, Step 2 specifically includes: the quality value change attribute value of the current melting process The operational equation is:

[0068] In the equation, It is the mass value change attribute value of the current melting process. is the number of quality value queues, It is The numerical fluctuation amplitude of the quality value queue, is the average value fluctuation amplitude of the entire quality value queue, It is The difference between the past quality values ​​of the quality value queues, It is The reliability of the quality value queue, The Z-score method is used to Execute standardization, The Z-score method is used to Implement standardization.

[0069] In principle, the quality values ​​of different points between the bottom of the crucible and the bottom of the furnace are similar during the melting process, that is, the lower the root mean square value of the value fluctuation amplitude of the entire quality value queue, the better the scene conditions during the melting process, and the quality value changes of the same point between the bottom of the crucible and the bottom of the furnace in different melting cycles are similar. However, due to the structural differences of different points between the bottom of the crucible and the bottom of the furnace and other factors, the quality values ​​of some points will fluctuate greatly within the previous quality values, that is, The higher the pressure, the less reliable the corresponding mass value sampled by the gravity transmitter. The lower the value, the more stable the mass value at that point is. The mass value of nonferrous metal materials will not change significantly during each round of melting and processing. The mass value trend in different melting and processing rounds remains the same. The more reliable the mass value sampled by the corresponding gravity transmitter is, the more reliable the mass value can be used. For the The reliability of the quality value queue, that is, the higher the reliability, the greater the criticality should be given, and the root mean square of the attached criticality is obtained accordingly , represents the mass value change attribute value of the current melting process, that is The lower it is, the more reliable the quality value is during the melting process.

[0070] Step 3, define the last quality value in each quality value queue as the quality value at the current time point corresponding to each quality value queue; obtain the noise value amplitude of the quality value at the current time point corresponding to each quality value queue according to the quality value change attribute value of the current melting process, the difference of the past quality values ​​of the entire quality value queue, and the quality value at the current time point;

[0071] At the same time point, the sampled mass values ​​of different gravity sensors are similar, while the noise values ​​are randomly arranged. Therefore, the noise amplitude of the sensor can be represented by the difference between the mass value sampled by the previous sensor at the current time point and the mass value sampled by another sensor. However, the force on the gravity sensor between the bottom of the crucible and the bottom of the furnace is unbalanced. Therefore, it is incorrect to represent the noise amplitude of the corresponding sensor sampled mass value only by the difference between the mass value sampled by one sensor and the mass value sampled by another sensor. It is also necessary to combine the balance of the force on each gravity sensor and the changing properties of the mass value of the melting process at that time to obtain the correct noise amplitude.

[0072] When a gravity transmitter is subjected to unbalanced force, the mass value sampled by the gravity transmitter changes significantly, that is, when the previous mass value sampled by the gravity transmitter changes significantly, the mass value difference at the same time point is significant. This is often caused by unbalanced force. When the previous mass value sampled by the gravity transmitter does not change much, the mass value difference at the same time point is significant. This is often caused by noise value.

[0073] In a preferred but non-limiting implementation method of the present invention, Step 3 specifically includes: defining the last quality value in each quality value queue as the current time point quality value corresponding to each quality value queue;

[0074] Define the quality value queue of the non-destination queue as the basic queue;

[0075] The calculation equation of the noise value amplitude F of the current time point quality value corresponding to the destination queue is executed:

[0076] In the equation, is the noise value amplitude of the quality value of the destination queue at the current time point, It is the mass value change attribute value of the current melting process. is the number of base queues, is the current quality value of the destination queue, It is The current quality value of the basic queue, is the difference in the past quality values ​​of the destination queue, It is The difference between the past quality values ​​of the basic queues, The Z-score method is used to Execute standardization, The Z-score method is used to Implement standardization.

[0077] Through the above analysis, we can get The higher the value, the higher the probability that the quality value of the destination queue at the current time point is a noise value. The lower, the higher This is because the probability of the clutter value acting is higher, so for The criticality of represents the initial noise value amplitude of the quality value of the destination queue at the current time point, and The lower the value, the more reliable the quality value in the first melting process. The standardized value represents the noise value amplitude of the quality value of the destination queue at the current time point.

[0078] Step 4, according to the noise value amplitude of the current quality value of each quality value queue, obtain the middle value of the current quality value of each quality value queue after removing the noise value, and then average the middle values ​​of all the current quality values ​​after removing the noise value to obtain the quality value of the current quality value after removing the noise value.

[0079] The neighborhood size defined in advance by this application is eleven, a predefined constant It's one half.

[0080] In the preferred but non-limiting implementation method of the present invention, Step 4 specifically includes: the higher the amplitude of the clutter value, the higher the neighborhood size is required to ensure the function of removing the clutter value, so the calculation equation of the neighborhood size of the current time point quality value corresponding to the destination queue is:

[0081] In the equation, is the neighborhood size of the current quality value of the destination queue, is a predefined constant, is the noise value amplitude of the quality value of the destination queue at the current time point, is a predefined neighborhood size.

[0082] and Represents the neighborhood configuration factor, and its value range is to ,exist The higher the value, the higher the neighborhood, so use is the neighborhood size of the quality value of the destination queue at the current time point. Because the neighborhood size must be an odd number, When it is an even number, let It is the neighborhood size of the current quality value of the destination queue.

[0083] Based on this, in the destination queue, according to the neighborhood size of the current quality value of the destination queue, the neighborhood smoothing method is used to perform noise removal processing to obtain the middle value of the current quality value of the destination queue after noise removal, and then the middle values ​​of all the current quality values ​​after noise removal are averaged to obtain the quality value of the current time point after noise removal.

[0084] The present application samples the mass values ​​at several set positions between the bottom of the crucible and the bottom of the furnace body, obtains several mass value queues, obtains the numerical fluctuation amplitude of each mass value queue, obtains the difference of the past mass values ​​of each mass value queue based on the past mass values, thereby obtaining the mass value change attribute value of the current melting process, and obtains the noise value amplitude of the current time point mass value corresponding to each mass value queue accordingly, thereby obtaining the mass value of the current time point mass value corresponding to each mass value queue after removing the noise value. The present invention improves the performance of removing the noise value of the mass value through the neighborhood size in the active neighborhood smoothing method, obtains the correct and reliable mass value, thereby improving the function of monitoring the quality of the non-ferrous metal material in the crucible.

[0085] like Figure 2 As shown, the non-ferrous metal processing information control device of the present invention comprises:

[0086] A plurality of gravity transmitters connected to the controller are respectively installed at a plurality of set positions between the bottom of the crucible of the non-ferrous metal melting furnace and the bottom of the furnace body. The plurality of gravity transmitters are used to sample the mass value of the non-ferrous metal material in the crucible of the non-ferrous metal melting furnace and transmit the mass value after the noise value is removed to the controller for processing, so as to monitor the quality of the non-ferrous metal material in the crucible in real time;

[0087] The modules running on the controller include:

[0088] A definition module is used to arrange the quality values ​​at a plurality of set positions according to the order of sampling time points during the current melting process of nonferrous metals by using a nonferrous metal melting furnace to obtain a plurality of quality value queues; define any quality value queue as a target queue; and obtain the value fluctuation amplitude of the target queue according to the difference between the values ​​in the target queue;

[0089] A change module, which is used to obtain the difference of the past quality values ​​of the target queue according to the quality values ​​of the non-ferrous metals in the previous melting processing rounds corresponding to the target queue; and obtain the quality value change attribute value of the current melting processing according to the numerical fluctuation amplitude and the difference of the past quality values ​​of the entire quality value queue;

[0090] The acquisition module is used to define the last quality value in each quality value queue as the quality value at the current time point corresponding to each quality value queue; according to the quality value change attribute value of the current melting process, the difference amount of the past quality values ​​of all quality value queues, and the quality value at the current time point, the noise value amplitude of the quality value at the current time point corresponding to each quality value queue is obtained;

[0091] The cleaning module is used to obtain the intermediate value of the current time point quality value of each quality value queue after removing the noise value according to the noise value amplitude of the current time point quality value of each quality value queue, and then average the intermediate values ​​of all current time point quality values ​​after removing the noise value to obtain the quality value of the current time point after removing the noise value.

[0092] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0093] The mass values ​​at several set positions between the bottom of the sampling crucible and the bottom of the furnace body are obtained, and several mass value queues are obtained. The numerical fluctuation amplitude of each mass value queue is obtained, and the difference of the past mass values ​​of each mass value queue is obtained according to the past mass values, so as to obtain the mass value change attribute value of the current melting process, and the noise value amplitude of the current time point mass value corresponding to each mass value queue is obtained accordingly, so as to obtain the mass value of the current time point mass value corresponding to each mass value queue after the noise value is removed. The present invention improves the performance of removing the noise value of the mass value through the neighborhood size in the active neighborhood smoothing method, and obtains correct and reliable mass values, thereby improving the function of monitoring the quality of non-ferrous metal materials in the crucible.

[0094] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not deviate from the spirit and scope of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. A non-ferrous metal processing information control method, characterized in that: include: Several gravity transmitters sample the mass value of nonferrous metal materials in the crucible of the nonferrous metal melting furnace and transmit it to the controller for processing to obtain the mass value after removing the noise value; The method of sampling the mass value of nonferrous metal materials in a crucible with a gravimetric transmitter and transmitting the mass value to a controller for processing to obtain the mass value after removing the clutter value comprises: Step 1, during the current melting process of nonferrous metals using a nonferrous metal melting furnace, the mass values ​​at a number of set positions are arranged according to the order of their sampling time points to obtain a number of mass value queues; any mass value queue is defined as a target queue; according to the difference between the values ​​in the target queue, the value fluctuation amplitude of the target queue is obtained; Step 2, according to the quality value of the nonferrous metal in the previous melting process round corresponding to the target queue, obtain the difference of the past quality value of the target queue; according to the value fluctuation amplitude of the entire quality value queue and the difference of the past quality value, obtain the quality value change attribute value of the current melting process; Step 3, define the last quality value in each quality value queue as the quality value at the current time point corresponding to each quality value queue; obtain the noise value amplitude of the quality value at the current time point corresponding to each quality value queue according to the quality value change attribute value of the current melting process, the difference of the past quality values ​​of the entire quality value queue, and the quality value at the current time point; Step 4, according to the noise value amplitude of the current time point quality value corresponding to each quality value queue, obtain the middle value of the current time point quality value corresponding to each quality value queue after removing the noise value, then calculate the average of the middle values ​​of all the current time point quality values ​​after removing the noise value to obtain the quality value of the current time point after removing the noise value; Step 1 specifically includes: the numerical fluctuation amplitude of the destination queue The operational equation is: ； In the equation, is the numerical fluctuation amplitude of the destination queue, is the RMS value of all the peak and valley points in the destination queue. is the highest value among all the quality values ​​in the destination queue. is the lowest value among all the quality values ​​in the destination queue. The Z-score method is used to Implement standardization; Step 2 specifically includes: defining the gravity transmitter corresponding to the destination queue as the destination transmitter; In a plurality of melting processing rounds before the current melting processing of the nonferrous metal, according to the mass values ​​sampled by the target transmitter and arranged in the order of the sampling time points, a plurality of past mass value queues corresponding to the target queue are obtained; According to the calculation method of the value fluctuation amplitude of each quality value queue, the value fluctuation amplitude of each past quality value queue corresponding to the target queue is obtained; The root mean square of the numerical fluctuation amplitudes of all past quality value queues corresponding to the destination queue is defined as the past quality value difference amount of the destination queue; Step 2 specifically includes: the quality value change attribute value of the current melting process The operational equation is: ； In the equation, It is the mass value change attribute value of the current melting process. is the number of quality value queues, It is The numerical fluctuation amplitude of the quality value queue, is the average value fluctuation amplitude of the entire quality value queue, It is The difference between the past quality values ​​of the quality value queues, It is The reliability of the quality value queue, The Z-score method is used to Execute standardization, The Z-score method is used to Implement standardization; Step 3 specifically includes: defining the quality value queue of the non-destination queue as the basic queue; The calculation equation of the noise value amplitude F of the current time point quality value corresponding to the destination queue is executed: ； In the equation, is the noise value amplitude of the quality value of the destination queue at the current time point, It is the mass value change attribute value of the current melting process. is the number of base queues, is the current quality value of the destination queue, It is The current quality value of the basic queue, is the difference in the past quality values ​​of the destination queue, It is The difference between the past quality values ​​of the basic queues, The Z-score method is used to Execute standardization, The Z-score method is used to Implement standardization; Step 4 specifically includes: the operation equation of the neighborhood size of the current time point quality value corresponding to the destination queue is: ； In the equation, is the neighborhood size of the current quality value of the destination queue, is a predefined constant, is the noise value amplitude of the quality value of the destination queue at the current time point, is the predefined neighborhood size; Based on this, in the destination queue, according to the neighborhood size of the current quality value of the destination queue, the neighborhood smoothing method is used to perform noise removal processing to obtain the middle value of the current quality value of the destination queue after noise removal, and then the middle values ​​of all the current quality values ​​after noise removal are averaged to obtain the quality value of the current time point after noise removal.

2. The non-ferrous metal processing information control method according to claim 1, characterized in that: The sampling times of several gravity transmitters are synchronized.

3. The non-ferrous metal processing information control method according to claim 2, characterized in that: Step 1 specifically includes: using a comparison method to obtain several partial peak and valley value points in the target queue.

4. The non-ferrous metal processing information control method according to claim 3, characterized in that: The comparison method is to compare each quality value in the destination queue with the two adjacent quality values ​​on both sides in turn. If the quality value is higher or lower than the two adjacent quality values ​​on both sides, the quality value is determined to be a distribution peak and valley value point.

Images