A method for conditioning smelted copper slag and an adding device

Abstract

This invention relates to the field of copper slag smelting technology, and discloses a method and equipment for conditioning copper slag. The method includes: combining process data into stage data; constructing a smelting change path based on initial stage data and final stage data, combined with evolution patterns; analyzing curvature changes and trend reversal characteristics, and identifying key turning points by combining historical smelting data; generating conditioning agent matching information based on key turning points, applying the conditioning agent matching information to conditioning agent addition instructions, and monitoring characteristic parameters in real time; inferring the degree of shift in the conditioning agent's effective range by combining characteristic parameters and historical smelting data; and generating conditioning agent adjustment instructions based on the degree of shift in the effective range. This invention can improve the efficiency of crystallization after copper slag sulfidation.

Description

Technical Field

[0001] This invention relates to the field of copper slag smelting technology, and in particular to a method and equipment for conditioning copper slag. Background Technology

[0002] In the field of copper smelting slag treatment, there is a lack of systematic solutions for the acquisition and processing of process data at different melting stages of copper smelting slag. It is impossible to accurately integrate and divide process data such as temperature, composition and physical state according to the evolution law of copper slag. Existing technologies lack standardization of data formats and lack time sequence alignment, making it difficult to accurately define the boundary points of different melting stages. Consequently, subsequent smelting analysis lacks reliable stage data support, which seriously affects the scientific nature of decisions related to the addition of conditioning agents.

[0003] Existing technologies have significant shortcomings in constructing smelting change paths and identifying critical inflection points. They cannot reasonably allocate the weights of key parameters in staged data, nor can they effectively eliminate random fluctuations and abrupt changes in the path, resulting in a large deviation between the constructed smelting path and the actual working conditions. The identification of critical inflection points lacks a precise quantitative analysis system, making it difficult to judge the intensity of inflection points by combining historical smelting data. Furthermore, there is a lack of dynamic evaluation and real-time adjustment mechanisms for the degree of deviation in the action range of conditioning agents, leading to an imbalance in the proportion of conditioning agents added, which cannot adapt to the dynamic changes in the smelting process. Ultimately, this results in low efficiency and unstable quality of copper slag treatment. Therefore, how to improve the efficiency of copper slag treatment has become an urgent problem to be solved. Summary of the Invention

[0004] This invention provides a method and equipment for conditioning copper slag in smelting to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides a method for conditioning copper slag, comprising:

[0006] S1. Collect process data of smelting copper slag at different melting stages, and combine the process data into stage data of smelting copper slag according to the evolution law of the smelting copper slag.

[0007] S2. Taking the initial stage data in the stage data as the starting point and the final stage data in the stage data as the ending point, and combining the evolution law of the copper smelting slag, construct the smelting change path of the copper smelting slag.

[0008] S3. By analyzing the curvature change and trend reversal characteristics of the smelting change path, and combining it with the historical smelting data of the copper slag, identify the key turning points on the smelting change path.

[0009] S4. Based on the key turning point, generate the conditioning agent matching information of the smelting copper slag, apply the conditioning agent matching information to the conditioning agent addition instruction in the smelting copper slag, and monitor the characteristic parameters of the smelting copper slag after regulation in real time.

[0010] S5. Based on the characteristic parameters and the historical smelting data, infer the degree of shift in the range of action of the conditioning agent in the smelting copper slag after regulation;

[0011] S6. Adjust the conditioning agent matching information according to the degree of offset of the action range, and generate the conditioning agent adjustment instruction for the smelted copper slag after regulation.

[0012] In a preferred embodiment, the step of collecting process data on smelting copper slag at different melting stages, and combining the process data into stage-specific data of the smelting copper slag according to the evolution pattern of the smelting copper slag, includes:

[0013] Temperature data, composition data, and physical state data of copper slag during the melting process are collected and integrated into the process data of copper slag smelting.

[0014] The data format of the process data is unified, and the unified process data is time-series aligned to obtain the standardized data of the smelting copper slag.

[0015] Differential analysis was performed on the standardized data to obtain the boundary points of the smelting copper slag at different melting stages;

[0016] Based on the boundary points, the standardized data is divided into stage data for different melting stages.

[0017] In a preferred embodiment, the step of constructing the smelting change path of the copper slag, starting from the initial stage data and ending with the final stage data in the stage data, and combining the evolution law of the copper slag, includes:

[0018] Based on the evolution pattern of historical smelting data in the copper slag, the weights of key parameters in the stage data are assigned to obtain the weighted key parameters of the stage data.

[0019] By aligning the timestamps of the weighted key parameters, a continuous parameter sequence of the stage data is obtained;

[0020] Based on the changing trend between adjacent parameters in the continuous parameter sequence, interpolation is performed on the missing parts of the continuous parameter sequence to obtain the complete parameter sequence of the stage data.

[0021] Starting from the initial stage data in the aforementioned stage data and ending from the final stage data in the aforementioned stage data, and combining the aforementioned complete parameter sequence, a continuous path trajectory of the smelting copper slag is constructed.

[0022] Correct the abrupt change points on the continuous path trajectory and perform trend consistency verification on the corrected continuous path trajectory to obtain the initial path of the smelting copper slag.

[0023] By eliminating random fluctuations in the initial path, the smelting variation path of the copper slag is obtained.

[0024] In a preferred embodiment, the step of identifying key turning points on the smelting change path by analyzing the curvature changes and trend reversal characteristics of the smelting change path, and combining this with historical smelting data of the copper slag, includes:

[0025] Obtain the path curvature and trend turning angle of the smelting change path;

[0026] The path turning density of the smelting change path is obtained by performing sliding window integration on the trend turning angle.

[0027] The turning intensity of the smelting variation path is identified based on the path curvature and the path turning density.

[0028] The key turning points on the smelting change path are obtained by comparing the intensity of the turning point with the upper and lower thresholds of key points in the historical smelting data at multiple levels.

[0029] In a preferred embodiment, the formula for calculating the inflection strength is:

[0030] ;

[0031] in, Indicates the intensity of the transition. Indicates time The path curvature mentioned above, Indicates time The rate of change of the path curvature mentioned above, Indicates time The path turning density mentioned above, Indicates time, This represents the preset time decay factor. It represents a definite integral.

[0032] In a preferred embodiment, the step of generating conditioning agent matching information for the smelting copper slag based on the key inflection point, applying the conditioning agent matching information to the conditioning agent addition instruction in the smelting copper slag, and monitoring the characteristic parameters of the smelting copper slag after regulation in real time includes:

[0033] Based on the turning point intensity parameter of the key turning point, the current stage data of the smelting copper slag is reconstructed proportionally to obtain the conditioning agent addition ratio of the smelting copper slag.

[0034] A difference analysis was performed on the ratio of the added conditioner and the standard ratio of the conditioner in the historical smelting data to obtain the degree of deviation of the ratio of the conditioner in the smelting copper slag.

[0035] Based on the degree of the ratio deviation, the ratio of the conditioner addition is compensated and optimized to obtain the conditioner matching information of the smelting copper slag.

[0036] The conditioning agent matching information is encoded into a conditioning agent addition instruction for the smelting copper slag;

[0037] The conditioning agent addition command is applied to monitor and regulate the characteristic parameters of the copper slag after smelting in real time.

[0038] In a preferred embodiment, the step of inferring the degree of shift in the effective range of the conditioning agent in the smelted copper slag after regulation, by combining the characteristic parameters and the historical smelting data, includes:

[0039] Tensor synthesis is performed on the multidimensional state parameters in the feature parameters to obtain the process state vector of the smelting copper slag;

[0040] The historical feature parameters that highly match the feature parameters in the historical smelting data are verified for timeliness to obtain the baseline feature parameters of the historical smelting data;

[0041] The baseline feature parameters are quantified to obtain the baseline state vector of the historical smelting data;

[0042] By performing a multi-dimensional dynamic comparison between the process state vector and the baseline state vector, the degree of shift in the effective range of the conditioning agent in the smelted copper slag after regulation is obtained.

[0043] In a preferred embodiment, the step of performing a multi-dimensional dynamic comparison between the process state vector and the baseline state vector to obtain the degree of shift in the effective range of the conditioning agent in the smelted copper slag after regulation includes:

[0044] The process state vector and the reference state vector are decomposed into temperature dimension components, composition dimension components and physical property dimension components.

[0045] By analyzing the trend consistency of the temperature dimension components, the first degree of difference of the smelting copper slag after the adjustment is obtained;

[0046] A similarity analysis was performed on the concentration distribution of the component dimensions to obtain the second degree of difference of the smelting copper slag after regulation;

[0047] By matching the change patterns of the physical property dimension components, the third degree of difference of the smelting copper slag after regulation is obtained;

[0048] By combining the first difference degree, the second difference degree, and the third difference degree, the degree of shift in the range of action of the conditioning agent in the smelting copper slag after regulation is obtained.

[0049] In a preferred embodiment, adjusting the conditioning agent matching information according to the degree of offset of the action range and generating the conditioning agent adjustment instruction for the regulated copper slag includes:

[0050] Analyze the offset direction characteristics and offset level descriptor of the offset degree of the effective range;

[0051] Based on the offset direction feature and the offset level descriptor, the quencher concentration and quencher addition ratio in the quencher matching information are corrected and optimized to obtain the optimized quencher matching information of the smelted copper slag after regulation.

[0052] The optimized conditioning agent matching information is encapsulated into the conditioning agent adjustment instruction for the smelted copper slag after regulation.

[0053] To address the above problems, the present invention also provides a copper slag conditioning and additive device, the device comprising:

[0054] The data phase module is used to collect process data of smelting copper slag at different melting stages, and combine the process data into phase data of smelting copper slag according to the evolution law of smelting copper slag.

[0055] The change path construction module is used to construct the smelting change path of copper slag, starting from the initial stage data in the stage data and ending with the final stage data in the stage data, combined with the evolution law of smelting copper slag.

[0056] The critical turning point identification module is used to identify critical turning points on the smelting change path by analyzing the curvature changes and trend reversal characteristics of the smelting change path and combining them with historical smelting data of copper slag.

[0057] An instruction generation module is added to generate conditioning agent matching information for smelting copper slag based on key turning points, apply the conditioning agent matching information to the conditioning agent addition instructions in smelting copper slag, and monitor the characteristic parameters of smelting copper slag after regulation in real time.

[0058] The offset assessment module is used to infer the offset of the action range of the conditioning agent in the copper slag after regulation by combining characteristic parameters and historical smelting data.

[0059] The matching information update module is used to adjust the conditioning agent matching information according to the degree of offset of the action range and generate conditioning agent adjustment instructions for the smelted copper slag after regulation.

[0060] Compared with the prior art, the present invention has the following beneficial effects:

[0061] 1. This invention collects multi-dimensional process data such as temperature, composition, and physical state of copper smelting slag through a data stage module. After standardization and boundary point division, it forms accurate stage data. Then, the change path construction module constructs a stable smelting change path based on the evolution law. The key turning point identification module accurately locates key nodes through curvature change and turning feature analysis, providing accurate basis for adding conditioning agents. The addition instruction generation module generates matching information and encodes it into addition instructions based on this. The feature parameters are monitored in real time, which effectively improves the adaptability of conditioning agent addition to copper slag smelting state.

[0062] 2. This invention accurately infers the degree of deviation in the action range of the conditioning agent by dynamically comparing the process state vector with the baseline state vector in multiple dimensions. The matching information update module adjusts the concentration and addition ratio of the conditioning agent in a targeted manner, generating optimization adjustment instructions to ensure the continuous and stable conditioning effect. At the same time, each module of the equipment can be implemented independently and supports flexible calling. The applicable scope can be expanded by adding modules without modifying the program code, which significantly improves the adaptability of the equipment in different smelting scenarios and the efficiency of copper slag treatment. Attached Figure Description

[0063] Figure 1 This is a schematic flowchart of a method for conditioning copper slag according to an embodiment of the present invention;

[0064] Figure 2 A functional module diagram of a copper slag conditioning and additive device provided in an embodiment of the present invention;

[0065] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0066] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0067] This application provides a method for conditioning smelting copper slag. The executing entity of this method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the method for conditioning smelting copper slag can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms.

[0068] Reference Figure 1 The diagram shown is a schematic flow chart of a method for conditioning smelting copper slag according to an embodiment of the present invention. In this embodiment, the method for conditioning smelting copper slag includes:

[0069] S1. Collect process data of smelting copper slag at different melting stages, and combine the process data into stage data of smelting copper slag according to the evolution law of the smelting copper slag.

[0070] In this embodiment of the invention, the process of collecting process data of smelting copper slag at different melting stages, and combining the process data into stage data of smelting copper slag according to the evolution law of the smelting copper slag, includes:

[0071] Temperature data, composition data, and physical state data of copper slag during the melting process are collected and integrated into the process data of copper slag smelting.

[0072] The data format of the process data is unified, and the unified process data is time-series aligned to obtain the standardized data of the smelting copper slag.

[0073] Differential analysis was performed on the standardized data to obtain the boundary points of the smelting copper slag at different melting stages;

[0074] Based on the boundary points, the standardized data is divided into stage data for different melting stages.

[0075] Temperature, composition, and physical state data of copper slag during the melting process are collected and integrated into process data for copper slag smelting. Contact thermocouple sensors are evenly distributed in different areas of the smelting furnace to collect temperature data in real time throughout the entire process of molten copper slag from solid melting to liquid refining, ensuring coverage of all key areas of copper slag melting. A laser-induced breakdown spectroscopy analyzer is used to sample and detect the molten copper slag in real time, accurately obtaining the content data of various elements such as copper, iron, silicon, and calcium, forming composition data. A high-speed industrial camera continuously captures the morphological changes of the copper slag, and a hardness tester is used to measure the hardness value of the copper slag at regular intervals, comprehensively recording the morphological transformation and fluidity changes of the copper slag from solid to semi-solid to liquid, forming physical state data. The collected temperature, composition, and physical state data are summarized and organized according to the acquisition time sequence, and the three types of data at the same time point are correlated one-to-one to form complete process data for copper slag smelting.

[0076] The process data is standardized by unifying the data format and aligning the unified process data with time sequence. First, a unified data format standard is established: temperature data uses degrees Celsius as the unit of measurement, composition data uses mass percentage as the expression form, and physical state data is expressed according to a preset unified coding rule (e.g., solid state is coded as 001, semi-solid as 002, and liquid as 003). All process data from different acquisition devices with different formats are converted to this unified standard format. Using the start-up time of the smelting furnace as a unified reference time point, each set of converted process data is marked with a precise acquisition timestamp. Based on the order of the timestamps, all the unified formatted process data are arranged sequentially, ensuring that different types of data maintain consistent correspondence in the time dimension, eliminating time deviations, and thus obtaining standardized data for smelting copper slag.

[0077] Differential analysis was performed on the standardized data to obtain the boundary points of smelting copper slag at different melting stages. The specific changes of temperature, composition, and physical state data over time in the standardized data were systematically analyzed, and the magnitude and trend of changes of various types of data were compared and analyzed time by time. The continuity of data changes was observed. When it was found that within a certain time period, the temperature data showed a period of steady increase followed by a plateau, the content of each element in the composition data no longer fluctuated significantly, and the physical state data stably changed from one state code to another, and the changes of these three types of data all showed obvious abrupt change characteristics and remained stable, the time point when this data abrupt change occurred was determined as the boundary point of the melting stage. Through a complete analysis of all standardized data, the boundary points corresponding to all different melting stages of smelting copper slag, such as from solid to semi-solid and from semi-solid to liquid, were determined one by one.

[0078] Based on boundary points, the standardized data is divided into stage data for different melting stages. Using the determined boundary points of each melting stage as the basis for division, the complete standardized data is segmented. The standardized data from the initial time point of smelting to the first boundary point is divided into stage data for the initial stage of copper slag smelting; the standardized data from the first boundary point to the second boundary point is divided into stage data for the transition stage of copper slag smelting; and so on, until the standardized data from the last boundary point to the end time point of smelting is divided into stage data for the final stage of copper slag smelting. The stage data for each stage completely includes all the corresponding temperature data, composition data, and physical state data within that stage.

[0079] The beneficial effects are that the implementation process systematically completes the collection, integration, standardization, and stage division of data in the copper slag smelting process. It solves the problems of lack of systematic data collection, inconsistent formats, chaotic timing, and difficulty in defining the boundary points of the melting stage in the existing technology. The resulting stage data is accurate and complete, and fully conforms to the evolution law of copper slag smelting. It provides reliable data support for subsequent work such as the construction of smelting change paths by the change path construction module and the identification of key inflection points by the key inflection point identification module, effectively ensuring the scientificity and accuracy of subsequent decisions related to the addition of conditioning agents.

[0080] S2. Taking the initial stage data in the stage data as the starting point and the final stage data in the stage data as the ending point, and combining the evolution law of the copper smelting slag, construct the smelting change path of the copper smelting slag.

[0081] In this embodiment of the invention, the step of constructing the smelting change path of the copper slag, starting from the initial stage data and ending with the final stage data, and combining the evolution law of the copper slag, includes:

[0082] Based on the evolution pattern of historical smelting data in the copper slag, the weights of key parameters in the stage data are assigned to obtain the weighted key parameters of the stage data.

[0083] By aligning the timestamps of the weighted key parameters, a continuous parameter sequence of the stage data is obtained;

[0084] Based on the changing trend between adjacent parameters in the continuous parameter sequence, interpolation is performed on the missing parts of the continuous parameter sequence to obtain the complete parameter sequence of the stage data.

[0085] Starting from the initial stage data in the aforementioned stage data and ending from the final stage data in the aforementioned stage data, and combining the aforementioned complete parameter sequence, a continuous path trajectory of the smelting copper slag is constructed.

[0086] Correct the abrupt change points on the continuous path trajectory and perform trend consistency verification on the corrected continuous path trajectory to obtain the initial path of the smelting copper slag.

[0087] By eliminating random fluctuations in the initial path, the smelting variation path of the copper slag is obtained.

[0088] Based on the evolution patterns of historical smelting data in copper slag, the weights of key parameters in the stage data are assigned to obtain the weighted key parameters of the stage data. A comprehensive retrieval of historical copper slag smelting data stored in the equipment is conducted, and the overall evolution patterns of temperature, composition, and physical state data in these data from the initial melting stage to the final melting stage are systematically analyzed. The influence of various key parameters on the copper slag smelting effect at different stages is clarified. Parameters with significant impact during critical turning points in copper slag melting are assigned higher weights, while parameters with less impact during stable stages are assigned lower weights. Based on the determined weight values, each key parameter in the stage data is weighted and calculated to obtain the corresponding weighted value. All weighted values ​​are then integrated to form the weighted key parameters of the stage data.

[0089] Align the timestamps of the weighted key parameters to obtain a continuous parameter sequence of phased data. Using the moment when the copper slag begins to melt as a unified time reference point, extract the timestamp information corresponding to the collection of each weighted key parameter, and check the timestamps of all weighted key parameters one by one. For weighted key parameters with time deviations, adjust them to the accurate time position according to their actual collection scenario and the timestamps of adjacent parameters. Arrange all weighted key parameters with consistent timestamps in order from earliest to latest time to ensure that adjacent parameters are seamlessly connected in the time dimension, forming a continuous parameter sequence of phased data.

[0090] Based on the changing trends between adjacent parameters in a continuous parameter sequence, interpolation is performed on the missing parts of the continuous parameter sequence to obtain a complete parameter sequence of the stage data. The numerical changes of adjacent parameters in the continuous parameter sequence are carefully analyzed to determine whether the changing trends between adjacent parameters are increasing, decreasing, or stable, and the magnitude of the changes is recorded. For the missing parameter parts in the sequence, the changing trends and magnitudes of adjacent parameters before and after the missing position are referenced, and values ​​that perfectly match the changing trends are selected to fill the missing positions. After the filling is completed, the entire sequence is checked to ensure that the parameter numerical changes are consistent and there are no abrupt breaks, thus obtaining a complete parameter sequence of the stage data.

[0091] Starting with the initial stage data in the phased data and ending with the final stage data in the phased data, a continuous path trajectory of smelting copper slag is constructed by combining the complete parameter sequence. The parameter value corresponding to the initial stage data in the phased data is set as the starting point of the trajectory, and the parameter value corresponding to the final stage data is set as the ending point of the trajectory. In the order of time progression, each parameter value in the complete parameter sequence is used as a node on the trajectory, and all nodes are connected in sequence to form a continuous path trajectory that can completely reflect the parameter changes of smelting copper slag from the initial stage to the final stage.

[0092] The process involves correcting abrupt changes in the continuous path trajectory and verifying the trend consistency of the corrected trajectory to obtain the initial path for smelting copper slag. Each node on the continuous path trajectory is examined individually. When a node's parameter value exhibits a significant difference from its adjacent nodes and does not conform to the normal variation pattern of that stage in historical smelting data, it is identified as an abrupt change point. The parameter values ​​of the abrupt change point are adjusted and corrected by referencing the parameter values ​​of the nodes before and after it, as well as the standard parameter values ​​for the corresponding stage in historical smelting data, to ensure they conform to the overall trend. After correction, the entire continuous path trajectory is reviewed to check whether the parameter variation trend from the starting point to the ending point remains consistent and without any contradictions. Once verified, the initial path for smelting copper slag is obtained.

[0093] By eliminating random fluctuations in the initial path, the smelting variation path of the copper slag is obtained. A comprehensive analysis of parameter value changes along the initial path identifies small, irregular random fluctuations caused by accidental factors such as instantaneous equipment errors and minor environmental disturbances. Referring to the stable variation range of parameters in historical smelting data corresponding to this path, as well as the normal variation range of adjacent parameters, these randomly fluctuating parameter values ​​are smoothed and adjusted, eliminating meaningless small fluctuations. The resulting path accurately reflects the core change patterns of the copper slag throughout the entire melting process; this is the smelting variation path of the copper slag.

[0094] The beneficial effects are that the implementation process has fully realized the construction of the smelting change path. Through a series of operations such as scientifically allocating parameter weights, aligning timestamps, filling parameter gaps, correcting abrupt changes, and eliminating random fluctuations, the problems of unreasonable parameter weight allocation, path breakpoints, and deviations in the existing technology have been solved. The constructed smelting change path is highly consistent with the actual smelting conditions, providing a reliable path basis for the key inflection point identification module to accurately identify key inflection points. At the same time, it lays a solid foundation for the generation of subsequent conditioning agent addition instructions, effectively improving the stability and accuracy of data support in the copper slag treatment process.

[0095] S3. By analyzing the curvature change and trend reversal characteristics of the smelting change path, and combining it with the historical smelting data of the copper slag, identify the key turning points on the smelting change path.

[0096] In this embodiment of the invention, the step of identifying key turning points on the smelting change path by analyzing the curvature changes and trend reversal characteristics of the smelting change path, and combining this with historical smelting data of the copper slag, includes:

[0097] Obtain the path curvature and trend turning angle of the smelting change path;

[0098] The path turning density of the smelting change path is obtained by performing sliding window integration on the trend turning angle.

[0099] The turning intensity of the smelting variation path is identified based on the path curvature and the path turning density.

[0100] The key turning points on the smelting change path are obtained by comparing the intensity of the turning point with the upper and lower thresholds of key points in the historical smelting data at multiple levels.

[0101] The formula for calculating the inflection point intensity is:

[0102] ;

[0103] in, Indicates the intensity of the transition. Indicates time The path curvature mentioned above, Indicates time The rate of change of the path curvature mentioned above, Indicates time The path turning density mentioned above, Indicates time, This represents the preset time decay factor. It represents a definite integral.

[0104] Obtain the path curvature and trend reversal angle of the smelting change path; comprehensively analyze the constructed smelting change path, divide the path into several continuous path segments according to the time progression, observe the curve curvature of each path segment segment by segment, determine the path curvature corresponding to each path segment by measuring the degree of curvature of the curve on the path segment, and record the path curvature of all path segments to form a complete path curvature data set; at the same time, observe the extension direction of each path segment in the smelting change path segment by segment, compare the difference in extension direction of adjacent path segments, measure the angle of direction change between adjacent path segments, use this as the trend reversal angle of the corresponding position, and integrate the trend reversal angles of all positions to form a trend reversal angle data set.

[0105] The trend reversal angles are integrated using a sliding window to obtain the path reversal density of the smelting change path. A sliding window of fixed time length is set, the length of which is determined based on the conventional melting time of copper slag, ensuring that the window can completely cover a representative trend reversal interval on the path. Starting from the beginning of the smelting change path, the set sliding window is moved segment by segment in chronological order. At each window position, all trend reversal angles contained within the window are accumulated and calculated to complete the integration processing at that window position. After completing the integration operation at all window positions in sequence, the reversal density within the interval covered by the window is determined based on the integration result corresponding to each window, thereby obtaining the path reversal density corresponding to each interval of the smelting change path.

[0106] Based on path curvature and path turning density, the turning intensity of the smelting change path is identified; the path curvature data set and path turning density data are compiled and organized, and the path curvature and path turning density within the same time interval are correlated one-to-one; combined with the basic characteristics of copper slag melting, the magnitude of the correlated path curvature and the level of path turning density are comprehensively analyzed. When the path curvature of a certain interval is large and the path turning density is high, the turning characteristics of that interval are determined to be more obvious and the turning intensity level is higher; when the path curvature of a certain interval is small and the path turning density is low, the turning characteristics of that interval are determined to be gentle and the turning intensity level is lower. Through such comprehensive analysis, the turning intensity corresponding to each interval on the smelting change path is determined.

[0107] By comparing the inflection intensity with the upper and lower thresholds of key points in historical smelting data at multiple levels, key inflection points on the smelting change path are obtained. Historical smelting data of copper slag is retrieved, and the inflection intensity data corresponding to the key inflection points identified in past smelting processes are extracted. Based on this data, multi-level key point threshold ranges are set, including low-level threshold ranges, medium-level threshold ranges, and high-level threshold ranges, with clear upper and lower thresholds for each threshold range. The inflection intensity of each interval of the currently identified smelting change path is compared one by one with the upper and lower thresholds of the set multi-level threshold ranges. When the inflection intensity of a certain interval exceeds the upper limit of the low-level threshold range but is within the corresponding level threshold range, the path position corresponding to that interval is marked as a key inflection point. All marked positions are integrated to obtain the key inflection points on the smelting change path.

[0108] The path curvature is obtained by collecting data on the curvature of the trajectory at various time points; the rate of change of curvature is obtained by selecting the curvature values ​​of two adjacent time points in chronological order, subtracting the curvature value of the previous time point from the curvature value of the later time point, and then dividing the difference by the time interval between the two time points; the path turning density is obtained by statistically analyzing the cumulative data of the number of turns or the turning amplitude of the trajectory per unit time at various time points.

[0109] Time is obtained by recording the specific moment data corresponding to each event during the occurrence of the motion trajectory; the time decay factor is preset to a fixed value according to the needs of the actual application scenario or the requirements of the experimental design; the start and end times of the integration interval are determined according to the start and end times of the motion trajectory segment to be analyzed; the turning intensity is a physical quantity used to characterize the turning characteristics of the motion trajectory within a specified time interval.

[0110] To calculate the inflection point intensity, first obtain the path curvature value and the rate of curvature change value at each time point. Multiply the path curvature value and the rate of curvature change value at each time point and take the absolute value. Then calculate the difference between the time corresponding to each time point and the preset starting reference time. Square the difference and divide it by the square of the time decay factor. Take the natural exponent of the result. Multiply the absolute value of the product obtained above with the natural exponent result. Summate the product results of all time points from the specified start time to the end time to obtain the numerator result.

[0111] Simultaneously, the path turning density value at each time point is obtained, the path turning density value at each time point is squared, the squared results at all time points are summed from the same start time to the end time, and the square root of the sum is then taken to obtain the denominator.

[0112] The turning point intensity is obtained by dividing the numerator by the denominator. This result quantitatively reflects the severity of the turning point of the trajectory within the corresponding time interval.

[0113] The larger the absolute value of the product of path curvature and rate of change of curvature, the larger the value of the product term at the corresponding time point in the molecule under the same time decay factor, the larger the definite integral result of the molecule, and the stronger the inflection intensity.

[0114] The larger the time decay factor, the closer the value of the exponential part is to 1, the weaker the decay effect on the product term in the numerator, the easier it is for the definite integral of the numerator to increase, and the stronger the inflection point may be.

[0115] The larger the path turning density value, the larger the definite integral of its square, the larger the square root of the denominator, and the smaller the turning intensity.

[0116] The closer the absolute value of the product of path curvature and rate of change of curvature appears to the preset starting reference time within the integration interval, the larger the value of the exponential part, the greater its contribution to the definite integral result of the numerator, and the easier it is to increase the inflection intensity.

[0117] The more time points within the integration interval that have a large absolute value of the product of the path curvature and the rate of change of curvature, the larger the definite integral result in the numerator, and the stronger the inflection point.

[0118] The larger the overall value of the square of the path turning density within the integration interval, the larger the definite integral result in the denominator, and the smaller the turning intensity.

[0119] The beneficial effects are that this implementation process accurately acquires key data such as path curvature and trend turning angle through systematic steps, obtains the turning point intensity through sliding window integration and comprehensive analysis, and then determines the key turning point through multi-level threshold comparison. This solves the problem that the key turning point identification in the existing technology lacks a precise quantitative system and is difficult to judge in combination with historical data. The identified key turning points are highly consistent with the actual melting conditions of copper slag, providing a reliable node basis for the addition instruction generation module to generate accurate conditioning agent matching information, effectively improving the scientific nature and pertinence of conditioning agent addition decisions.

[0120] S4. Based on the key turning point, generate the conditioning agent matching information of the smelting copper slag, apply the conditioning agent matching information to the conditioning agent addition instruction in the smelting copper slag, and monitor the characteristic parameters of the smelting copper slag after regulation in real time.

[0121] In this embodiment of the invention, based on the key inflection point, conditioning agent matching information for the smelting copper slag is generated. This conditioning agent matching information is applied to the conditioning agent addition instruction in the smelting copper slag, and the characteristic parameters of the smelting copper slag after regulation are monitored in real time, including:

[0122] Based on the turning point intensity parameter of the key turning point, the current stage data of the smelting copper slag is reconstructed proportionally to obtain the conditioning agent addition ratio of the smelting copper slag.

[0123] A difference analysis was performed on the ratio of the added conditioner and the standard ratio of the conditioner in the historical smelting data to obtain the degree of deviation of the ratio of the conditioner in the smelting copper slag.

[0124] Based on the degree of the ratio deviation, the ratio of the conditioner addition is compensated and optimized to obtain the conditioner matching information of the smelting copper slag.

[0125] The conditioning agent matching information is encoded into a conditioning agent addition instruction for the smelting copper slag;

[0126] The conditioning agent addition command is applied to monitor and regulate the characteristic parameters of the copper slag after smelting in real time.

[0127] Based on the transition intensity parameter of the key inflection point, the current stage data of smelting copper slag is reconstructed proportionally to obtain the addition ratio of conditioning agent for smelting copper slag; the transition intensity parameter corresponding to the key inflection point is extracted to clarify the degree of drastic change in the melting state of copper slag reflected by this parameter, and the temperature, composition and physical state data of smelting copper slag at the current stage are retrieved; according to the magnitude of the transition intensity parameter, the influence weight of each data at the current stage on the addition of conditioning agent is determined. The greater the transition intensity, the higher the weight of the data with significant influence. The proportion of each data at the current stage is readjusted according to this weight, and the data is reconstructed proportionally. By integrating the proportions of each reconstructed data, the addition ratio of conditioning agent suitable for the current melting state of copper slag is determined.

[0128] A difference analysis was conducted between the added ratio of quenching agent and the standard ratio of quenching agent in historical smelting data to determine the degree of deviation in the proportion of quenching agent in smelted copper slag. From the historical smelting data of copper slag stored in the equipment, a standard ratio of quenching agent consistent with the current copper slag melting stage and material type was extracted. This standard ratio represents the optimal ratio data for achieving the target smelting effect in the past. The current added ratio of quenching agent was compared item by item with the extracted standard ratio of quenching agent, and the numerical differences between the two in terms of the proportion of each component of quenching agent and the proportion of total added amount were calculated. All differences were summarized and comprehensively evaluated, and the degree of deviation in the proportion of quenching agent in smelted copper slag was determined based on the evaluation results.

[0129] Based on the degree of proportional deviation, the addition ratio of quenching and tempering agents is compensated and optimized to obtain quenching and tempering agent matching information for smelting copper slag. The specific items and magnitudes of the deviations are identified according to the degree of proportional deviation, and targeted compensation and optimization schemes are formulated. For items exceeding the upper limit of the standard ratio, their proportion is reduced accordingly based on the deviation value; for items below the lower limit of the standard ratio, their proportion is appropriately increased according to the deviation value. During the adjustment process, the actual melting state of the copper slag is considered to ensure that the adjusted ratios are mutually compatible and that no new proportional imbalances occur. The optimized quenching and tempering agent addition ratio, the compatible quenching and tempering agent types, and other information are integrated to form the quenching and tempering agent matching information for smelting copper slag.

[0130] The quencher matching information is encoded into a quencher addition instruction for smelting copper slag. A unified coding rule that can be recognized and executed by the equipment is formulated. This rule covers the coding correspondence of various information such as the quencher addition ratio, addition time node, and addition method. According to this coding rule, each item in the quencher matching information is converted into binary code that the equipment can read. These codes are combined in an orderly manner to ensure that the code sequence is complete and logically clear, and finally form the quencher addition instruction for smelting copper slag, ensuring that the equipment can accurately parse and execute it.

[0131] A conditioning agent addition command is applied to monitor the characteristic parameters of the smelted copper slag after regulation in real time. The coded conditioning agent addition command is sent to the execution equipment for smelted copper slag treatment, and the execution equipment accurately completes the conditioning agent addition operation according to the command. At the same time, a preset multi-dimensional detection device is activated to continuously collect temperature data, composition data, and physical state data of the smelted copper slag after regulation. These data are the characteristic parameters of the smelted copper slag after regulation. The detection device records the parameter changes at fixed time intervals to achieve real-time monitoring of the characteristic parameters.

[0132] The beneficial effects are that the implementation process has built a complete link around the key turning point, from proportional reconstruction to instruction application and parameter monitoring. Through precise difference analysis and compensation optimization, it has solved the problems of imbalance in the addition ratio of quenching agent and inability to adapt to dynamic changes in smelting in the existing technology. The generated quenching agent addition instructions are highly accurate, and the real-time monitored characteristic parameters can provide complete data support for the subsequent evaluation of the degree of effect deviation, effectively improving the scientific nature of quenching agent addition and the stability of copper slag smelting.

[0133] S5. Based on the characteristic parameters and the historical smelting data, infer the degree of shift in the range of action of the conditioning agent in the smelting copper slag after regulation;

[0134] In this embodiment of the invention, the step of inferring the degree of shift in the effective range of the conditioning agent in the smelted copper slag after regulation, by combining the characteristic parameters and the historical smelting data, includes:

[0135] Tensor synthesis is performed on the multidimensional state parameters in the feature parameters to obtain the process state vector of the smelting copper slag;

[0136] The historical feature parameters that highly match the feature parameters in the historical smelting data are verified for timeliness to obtain the baseline feature parameters of the historical smelting data;

[0137] The baseline feature parameters are quantified to obtain the baseline state vector of the historical smelting data;

[0138] By performing a multi-dimensional dynamic comparison between the process state vector and the baseline state vector, the degree of shift in the effective range of the conditioning agent in the smelted copper slag after regulation is obtained.

[0139] The step of performing a multi-dimensional dynamic comparison between the process state vector and the baseline state vector to obtain the degree of shift in the effective range of the conditioning agent in the smelting copper slag after regulation includes:

[0140] The process state vector and the reference state vector are decomposed into temperature dimension components, composition dimension components and physical property dimension components.

[0141] By analyzing the trend consistency of the temperature dimension components, the first degree of difference of the smelting copper slag after the adjustment is obtained;

[0142] A similarity analysis was performed on the concentration distribution of the component dimensions to obtain the second degree of difference of the smelting copper slag after regulation;

[0143] By matching the change patterns of the physical property dimension components, the third degree of difference of the smelting copper slag after regulation is obtained;

[0144] By combining the first difference degree, the second difference degree, and the third difference degree, the degree of shift in the range of action of the conditioning agent in the smelting copper slag after regulation is obtained.

[0145] Tensor synthesis is performed on the multidimensional state parameters in the feature parameters to obtain the process state vector of smelting copper slag. Multidimensional state parameters such as temperature, composition, and physical state are extracted from the feature parameters of smelting copper slag after regulation, and classified and organized according to the attribute categories of the parameters to clarify the correlation between various parameters in the smelting process. Temperature parameters, composition parameters, and physical state parameters at the same time point are treated as a group of data units, and all data units are arranged in the order of time progression. Through orderly integration, a smelting copper slag process state vector that can comprehensively reflect the real-time state of the current smelting process is formed.

[0146] The historical characteristic parameters that highly match the characteristic parameters in the historical smelting data are verified for timeliness to obtain the baseline characteristic parameters of the historical smelting data; all historical smelting data of copper slag stored in the equipment are retrieved, and historical characteristic parameters that highly match the current copper slag characteristic parameters in terms of core conditions such as copper slag material, melting stage, and initial composition are selected; the smelting time corresponding to the selected historical characteristic parameters is checked, and historical characteristic parameters that exceed the preset effective time range or whose process conditions have undergone significant changes are eliminated. The historical characteristic parameters that pass the timeliness verification and meet the current operating condition reference standards are determined as the baseline characteristic parameters of the historical smelting data.

[0147] The baseline characteristic parameters are quantified to obtain the baseline state vector of historical smelting data. A unified standard for quantifying the baseline characteristic parameters is established, converting the temperature data in the baseline characteristic parameters into standardized values ​​within a fixed range, the composition data into corresponding mass percentage values, and the physical state data into corresponding quantified values ​​according to preset rules. The quantified baseline characteristic parameters are then combined sequentially according to the parameter arrangement order with the same process state vector to form a historical smelting data baseline state vector with a structure consistent with the process state vector.

[0148] The process state vector and the baseline state vector are decomposed into temperature dimension components, composition dimension components, and physical property dimension components. For the constructed process state vector and baseline state vector, dimensional splitting is performed according to parameter attributes. All temperature-related parameter data are extracted from the two vectors to form their respective temperature dimension components. All parameter data related to the element content of copper slag are extracted to form their respective composition dimension components. All parameter data reflecting the morphology, hardness, fluidity, etc. of copper slag are extracted to form their respective physical property dimension components, ensuring that the split dimensions of the two vectors are completely corresponding.

[0149] The consistency of the temperature dimension components is analyzed to obtain the first degree of difference in the smelted copper slag after regulation. The trajectories of the temperature dimension components in the process state vector and the baseline state vector over time are analyzed to clarify the trends of temperature increase, decrease, or stagnation. The trends of the two temperature change trajectories are compared for each time period to determine whether they are consistent. The number and duration of inconsistent periods are counted. The magnitude of the difference in the temperature dimension is determined based on the statistical results. This magnitude of the difference is the first degree of difference in the smelted copper slag after regulation.

[0150] A similarity analysis was performed on the concentration distribution of the component dimensions to obtain the second degree of difference of the smelting copper slag after regulation. The concentration ratio of each element in the component dimensions of the process state vector and the baseline state vector were decomposed and the component concentration distribution maps of each element were plotted. The degree of overlap of the concentration ratio of each element in the two maps was compared and the sum of the differences in concentration ratio was calculated. The similarity of the component concentration distribution of the two maps was judged based on the sum of the differences. The lower the similarity, the higher the second degree of difference. The second degree of difference of the smelting copper slag after regulation was determined accordingly.

[0151] The change patterns of the physical property dimension components are matched to obtain the third degree of difference of the smelted copper slag after regulation; the change patterns of the physical property dimension components in the process state vector and the baseline state vector are summarized, including the order of physical state transitions and the duration of each state; the details of the two change patterns are compared one by one, the specific items of pattern mismatch and the degree of difference are recorded, and the third degree of difference of the smelted copper slag after regulation is determined after comprehensive evaluation.

[0152] By integrating the first, second, and third differences, the degree of shift in the action range of the conditioning agent in the smelted copper slag after regulation is obtained. The first, second, and third differences are regarded as equally important evaluation indicators, and the values ​​of the three differences are comprehensively summarized. Based on the summary results and combined with the quality standards for conditioning treatment of smelted copper slag, the current deviation of the action range of the conditioning agent relative to the benchmark range is determined, the overall magnitude and scope of the deviation are clarified, and finally the degree of shift in the action range of the conditioning agent in the smelted copper slag after regulation is obtained.

[0153] The beneficial effects are that this implementation process, through systematic tensor synthesis, timeliness verification, quantitative processing, and multi-dimensional dynamic comparison, accurately decomposes and analyzes the differences between the process state and the baseline state in three core dimensions: temperature, composition, and physical properties. It solves the problem of the lack of accurate assessment of the degree of deviation of the action range of the conditioning agent in the existing technology. The obtained data on the degree of deviation of the action range is comprehensive and reliable, providing an accurate basis for the matching information update module to adjust the matching information of the conditioning agent. This effectively ensures the pertinence and effectiveness of subsequent conditioning agent adjustments and further improves the stability and quality of copper slag smelting treatment.

[0154] S6. Adjust the conditioning agent matching information according to the degree of offset of the action range, and generate the conditioning agent adjustment instruction for the smelted copper slag after regulation.

[0155] In this embodiment of the invention, adjusting the conditioning agent matching information according to the degree of offset of the effective range and generating the conditioning agent adjustment instruction for the smelted copper slag after regulation includes:

[0156] Analyze the offset direction characteristics and offset level descriptor of the offset degree of the effective range;

[0157] Based on the offset direction feature and the offset level descriptor, the quencher concentration and quencher addition ratio in the quencher matching information are corrected and optimized to obtain the optimized quencher matching information of the smelted copper slag after regulation.

[0158] The optimized conditioning agent matching information is encapsulated into the conditioning agent adjustment instruction for the smelted copper slag after regulation.

[0159] The system analyzes the offset direction characteristics and offset level descriptors of the effect range offset. It comprehensively receives the effect range offset data output by the effect offset degree assessment module, and, in conjunction with the core objective of copper slag conditioning treatment, decomposes the offset direction information contained in the data one by one to clarify whether the offset is a deviation towards the temperature dimension, composition dimension, physical property dimension, or a multi-dimensional composite deviation, thereby determining the specific directional characteristics of the effect range offset. At the same time, referring to the preset offset level classification standard, it determines the corresponding level of the offset based on the numerical range of the offset degree data, such as slight offset, moderate offset, and severe offset, and extracts the exclusive descriptor that can accurately describe the level, thus completely obtaining the offset direction characteristics and offset level descriptors of the effect range offset.

[0160] Based on the offset direction features and offset level descriptors, the quencher concentration and quencher addition ratio in the quencher matching information are corrected and optimized to obtain the optimized quencher matching information for smelted copper slag after regulation. According to the parsed offset direction features, the specific content that needs to be adjusted in the quencher matching information is located. If the offset direction is due to excessively high temperature, the quencher components that can reduce the temperature of the copper slag are adjusted. If the offset direction is due to insufficient concentration of a certain component, the corresponding supplementary quencher is focused on. The adjustment range is determined by combining the offset level descriptors. Slight offsets are finely adjusted according to the preset base range, moderate offsets are adjusted according to 1.5 times the base range, and severe offsets are adjusted according to 2 times the base range. The quencher concentration and quencher addition ratio in the quencher matching information are corrected simultaneously. After the correction is completed, it is checked whether the adjusted concentration and ratio are suitable for the current copper slag melting state to ensure that there are no new ratio imbalance problems. Finally, the optimized quencher matching information for smelted copper slag after regulation is formed.

[0161] The optimized conditioner matching information is packaged into a conditioner adjustment instruction for smelted copper slag after regulation. A unified instruction packaging standard is formulated, which clarifies the packaging order of each item in the optimized conditioner matching information, including the conditioner type, the adjusted concentration value, the adjusted addition ratio, and the time node for execution adjustment. Each item of the optimized conditioner matching information is systematically integrated according to the standard, and instruction start and end markers are added to ensure that the executing equipment can accurately identify the complete range of the instruction, forming a structurally complete and logically clear conditioner adjustment instruction for smelted copper slag after regulation.

[0162] The beneficial effects are that this implementation process specifically completes the adjustment and instruction encapsulation of the conditioning agent matching information. By accurately analyzing the offset characteristics to determine the adjustment direction and magnitude, it solves the problem of the lack of a real-time adjustment mechanism for conditioning agents in the existing technology. The generated optimized conditioning agent matching information is highly compatible with the current copper slag melting state. The encapsulated adjustment instructions can be directly and accurately executed by the equipment, effectively ensuring the stability of the conditioning agent's effect, further improving the processing quality and efficiency of smelting copper slag, and adapting to the flexible adjustment needs of different offset situations, thus enhancing the practicality of the equipment.

[0163] like Figure 2 The diagram shown is a functional block diagram of a copper slag conditioning and additive device provided in an embodiment of the present invention.

[0164] The copper slag conditioning and adding device 100 of this invention can be installed in an electronic device. Depending on the functions implemented, the copper slag conditioning and adding device 100 may include a data stage module 101, a change path construction module 102, a key turning point identification module 103, an adding instruction generation module 104, an effect offset degree evaluation module 105, and a matching information update module 106. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, and is stored in the memory of the electronic device.

[0165] In this embodiment, the functions of each module / unit are as follows:

[0166] The data stage module 101 is used to collect process data of smelting copper slag at different melting stages, and combine the process data into stage data of smelting copper slag according to the evolution law of smelting copper slag.

[0167] The change path construction module 102 is used to construct the smelting change path of copper slag by taking the initial stage data in the stage data as the starting point and the final stage data in the stage data as the ending point, and combining the evolution law of smelting copper slag.

[0168] The critical turning point identification module 103 is used to identify critical turning points on the smelting change path by analyzing the curvature change and trend reversal characteristics of the smelting change path and combining it with historical smelting data of copper slag.

[0169] The addition instruction generation module 104 is used to generate conditioning agent matching information for smelting copper slag based on key turning points, apply the conditioning agent matching information to the conditioning agent addition instruction in smelting copper slag, and monitor the characteristic parameters of smelting copper slag after regulation in real time.

[0170] The effect offset assessment module 105 is used to combine characteristic parameters and historical smelting data to infer the effect range offset of the conditioning agent in the smelting copper slag after regulation.

[0171] The matching information update module 106 is used to adjust the quencher matching information according to the degree of offset of the action range, and generate the quencher adjustment instruction for the smelted copper slag after regulation.

[0172] In the several embodiments provided by this invention, it should be understood that the disclosed methods and systems can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.

[0173] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0174] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0175] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0176] This application embodiment can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0177] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for conditioning copper slag, characterized in that, The method includes: S1. Collect process data of smelting copper slag at different melting stages, and combine the process data into stage data of smelting copper slag according to the evolution law of the smelting copper slag. S2. Taking the initial stage data in the stage data as the starting point and the final stage data in the stage data as the ending point, and combining the evolution law of the copper smelting slag, construct the smelting change path of the copper smelting slag. S3. By analyzing the curvature change and trend reversal characteristics of the smelting change path, and combining it with the historical smelting data of the copper slag, identify the key turning points on the smelting change path. S4. Based on the key turning point, generate the conditioning agent matching information of the smelting copper slag, apply the conditioning agent matching information to the conditioning agent addition instruction in the smelting copper slag, and monitor the characteristic parameters of the smelting copper slag after regulation in real time. S5. Based on the characteristic parameters and the historical smelting data, infer the degree of shift in the range of action of the conditioning agent in the smelting copper slag after regulation; S6. Adjust the conditioning agent matching information according to the degree of offset of the action range, and generate the conditioning agent adjustment instruction for the smelted copper slag after regulation.

2. The method for conditioning copper slag as described in claim 1, characterized in that, The process of collecting process data on smelting copper slag at different melting stages, and combining the process data into stage-specific data on the smelting copper slag according to the evolution pattern of the smelting copper slag, includes: Temperature data, composition data, and physical state data of copper slag during the melting process are collected and integrated into the process data of copper slag smelting. The data format of the process data is unified, and the unified process data is time-series aligned to obtain the standardized data of the smelting copper slag. Differential analysis was performed on the standardized data to obtain the boundary points of the smelting copper slag at different melting stages; Based on the boundary points, the standardized data is divided into stage data for different melting stages.

3. The method for conditioning copper slag as described in claim 1, characterized in that, The process of constructing the smelting change path of the copper slag, starting from the initial stage data and ending with the final stage data, and combining this with the evolution pattern of the copper slag, includes: Based on the evolution pattern of historical smelting data in the copper slag, the weights of key parameters in the stage data are assigned to obtain the weighted key parameters of the stage data. By aligning the timestamps of the weighted key parameters, a continuous parameter sequence of the stage data is obtained; Based on the changing trend between adjacent parameters in the continuous parameter sequence, interpolation is performed on the missing parts of the continuous parameter sequence to obtain the complete parameter sequence of the stage data. Starting from the initial stage data in the aforementioned stage data and ending from the final stage data in the aforementioned stage data, and combining the aforementioned complete parameter sequence, a continuous path trajectory of the smelting copper slag is constructed. Correct the abrupt change points on the continuous path trajectory and perform trend consistency verification on the corrected continuous path trajectory to obtain the initial path of the smelting copper slag. By eliminating random fluctuations in the initial path, the smelting variation path of the copper slag is obtained.

4. The method for conditioning copper slag as described in claim 1, characterized in that, The process involves analyzing the curvature changes and trend reversal characteristics of the smelting path, and combining this with historical smelting data of the copper slag, to identify key turning points on the smelting path, including: Obtain the path curvature and trend turning angle of the smelting change path; The path turning density of the smelting change path is obtained by performing sliding window integration on the trend turning angle. The turning intensity of the smelting variation path is identified based on the path curvature and the path turning density. The key turning points on the smelting change path are obtained by comparing the intensity of the turning point with the upper and lower thresholds of key points in the historical smelting data at multiple levels.

5. A method for conditioning copper slag as described in claim 4, characterized in that, The formula for calculating the inflection point intensity is: ； in, Indicates the intensity of the transition. Indicates time The path curvature mentioned above, Indicates time The rate of change of the path curvature mentioned above, Indicates time The path turning density mentioned above, Indicates time, This represents the preset time decay factor. It represents a definite integral.

6. The method for conditioning copper slag as described in claim 1, characterized in that, The process involves generating conditioning agent matching information for the smelting copper slag based on the key inflection point, applying this information to the conditioning agent addition instructions in the smelting copper slag, and monitoring the characteristic parameters of the smelting copper slag after adjustment in real time, including: Based on the turning point intensity parameter of the key turning point, the current stage data of the smelting copper slag is reconstructed proportionally to obtain the conditioning agent addition ratio of the smelting copper slag. A difference analysis was performed on the ratio of the added conditioner and the standard ratio of the conditioner in the historical smelting data to obtain the degree of deviation of the ratio of the conditioner in the smelting copper slag. Based on the degree of the ratio deviation, the ratio of the conditioner addition is compensated and optimized to obtain the conditioner matching information of the smelting copper slag. The conditioning agent matching information is encoded into a conditioning agent addition instruction for the smelting copper slag; The conditioning agent addition command is applied to monitor and regulate the characteristic parameters of the copper slag after smelting in real time.

7. A method for conditioning copper slag as described in claim 1, characterized in that, The step of combining the characteristic parameters and the historical smelting data to infer the degree of shift in the effective range of the conditioning agent in the smelted copper slag after regulation includes: Tensor synthesis is performed on the multidimensional state parameters in the feature parameters to obtain the process state vector of the smelting copper slag; The historical feature parameters that highly match the feature parameters in the historical smelting data are verified for timeliness to obtain the baseline feature parameters of the historical smelting data; The baseline feature parameters are quantified to obtain the baseline state vector of the historical smelting data; By performing a multi-dimensional dynamic comparison between the process state vector and the baseline state vector, the degree of shift in the effective range of the conditioning agent in the smelted copper slag after regulation is obtained.

8. A method for conditioning copper slag as described in claim 7, characterized in that, The step of performing a multi-dimensional dynamic comparison between the process state vector and the baseline state vector to obtain the degree of shift in the effective range of the conditioning agent in the smelting copper slag after regulation includes: The process state vector and the reference state vector are decomposed into temperature dimension components, composition dimension components and physical property dimension components. By analyzing the trend consistency of the temperature dimension components, the first degree of difference of the smelting copper slag after the adjustment is obtained; A similarity analysis was performed on the concentration distribution of the component dimensions to obtain the second degree of difference of the smelting copper slag after regulation; By matching the change patterns of the physical property dimension components, the third degree of difference of the smelting copper slag after regulation is obtained; By combining the first difference degree, the second difference degree, and the third difference degree, the degree of shift in the effective range of the conditioning agent in the smelted copper slag after regulation is obtained.

9. A method for conditioning copper slag as described in claim 1, characterized in that, The step of adjusting the conditioning agent matching information according to the degree of offset of the action range and generating the conditioning agent adjustment instruction for the smelted copper slag after regulation includes: Analyze the offset direction characteristics and offset level descriptor of the offset degree of the effective range; Based on the offset direction feature and the offset level descriptor, the quencher concentration and quencher addition ratio in the quencher matching information are corrected and optimized to obtain the optimized quencher matching information of the smelted copper slag after regulation. The optimized conditioning agent matching information is encapsulated into the conditioning agent adjustment instruction for the smelted copper slag after regulation.

10. A device for conditioning and adding copper slag during smelting, characterized in that, The equipment for implementing the copper slag conditioning method according to claim 1 includes: The data phase module is used to collect process data of smelting copper slag at different melting stages, and combine the process data into phase data of smelting copper slag according to the evolution law of smelting copper slag. The change path construction module is used to construct the smelting change path of copper slag, starting from the initial stage data in the stage data and ending with the final stage data in the stage data, combined with the evolution law of smelting copper slag. The critical turning point identification module is used to identify critical turning points on the smelting change path by analyzing the curvature changes and trend reversal characteristics of the smelting change path and combining them with historical smelting data of copper slag. An instruction generation module is added to generate conditioning agent matching information for smelting copper slag based on key turning points, apply the conditioning agent matching information to the conditioning agent addition instructions in smelting copper slag, and monitor the characteristic parameters of smelting copper slag after regulation in real time. The offset assessment module is used to infer the offset of the action range of the conditioning agent in the copper slag after regulation by combining characteristic parameters and historical smelting data. The matching information update module is used to adjust the conditioning agent matching information according to the degree of offset of the action range and generate conditioning agent adjustment instructions for the smelted copper slag after regulation.

Images