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CN-121998514-A - Gold ornament grinding and polishing processing gold loss data real-time monitoring and accounting system

CN121998514ACN 121998514 ACN121998514 ACN 121998514ACN-121998514-A

Abstract

The invention relates to the technical field of gold ornament processing process monitoring, and particularly discloses a gold ornament grinding and polishing processing gold loss data real-time monitoring and accounting system, which effectively reduces the influence of system drift and material difference by constructing a double calibration mechanism of equipment state baselines and work order characteristic baselines; the method comprises the steps of acquiring airflow speed, particle size distribution and fluorescence response signals by utilizing physical interlocking logic, generating multidimensional proxy data, analyzing gold loss feature vectors, calculating gold loss mass flow rate in real time through a dynamic differential deduction model, binding with work order information to carry out accumulated verification, and finally automatically generating abnormal alarms when the total value of the accumulated gold loss exceeds a standard loss threshold value, thereby realizing the refined tracing of the gold loss, optimizing production cost and material balance, improving the accuracy and instantaneity of gold loss measurement, and providing powerful support for process optimization and performance assessment.

Inventors

  • ZHOU XIAOHANG

Assignees

  • 深圳市宝莱珠宝首饰有限公司

Dates

Publication Date
20260508
Application Date
20260226

Claims (10)

  1. 1. A gold ornament grinds and throws processing gold and decreases data real-time supervision and accounting system, its characterized in that includes: the equipment state baseline construction module is used for generating an equipment state baseline file representing the current detection environment based on a background noise value and a basic optical background value which are acquired in a preset calibration state; The work order characteristic baseline generation module is used for acquiring the work order identity information, calculating the characteristic offset relative to the equipment state baseline file according to the trial polishing operation executed on the work order identity information, and generating a work order characteristic baseline; The multi-dimensional agent data acquisition module sequentially acquires airflow speed, particle size distribution spectrum and material fluorescence response signals in the waste collection pipeline based on cascade trigger logic of airflow state and particle distribution, and combines the airflow speed, the particle size distribution spectrum and the material fluorescence response signals to generate multi-dimensional agent data; The gold loss feature vector analysis module is used for carrying out time domain analysis on the multidimensional proxy data, extracting energy spectrum density features and concentration features, carrying out normalization correction on the extracted features by utilizing the airflow speed, and generating gold loss feature vectors; The gold loss mass flow rate deduction module is used for calling the equipment state baseline file and the work order characteristic baseline to construct a dynamic differential deduction model, inputting the gold loss characteristic vector into the dynamic differential deduction model, and calculating to obtain the real-time gold loss mass flow rate; and the gold loss accumulation and alarm module binds the real-time gold loss mass flow rate with the identity information of the work unit, integrates the real-time gold loss mass flow rate in time to generate an accumulated gold loss total value, and generates an abnormal alarm signal when the accumulated gold loss total value exceeds a preset standard loss threshold.
  2. 2. The gold ornament polishing gold loss data real-time monitoring and accounting system according to claim 1, wherein the specific process of generating the equipment state baseline file representing the current detection environment comprises the following steps: Controlling a preset X-ray fluorescence sensor to collect dark current data in a state that a ray source is turned off, collecting environmental scattering background noise data in a state that the ray source is turned on and a pipeline is empty, and collecting standard sample reference values in a state that the ray source is turned on and a standard gold sample is placed; Controlling a preset laser diffraction sensor to acquire a light path signal as a basic optical background value in an idle airflow state; and respectively calculating the statistical mean and standard deviation of dark current data, environmental scattering background noise data, standard sample reference values and basic optical background values, and packaging to generate an equipment state baseline file.
  3. 3. The real-time monitoring and accounting system for gold damage data of gold ornament grinding and polishing process according to claim 2, wherein the specific process of calculating the characteristic offset relative to the equipment state baseline file and generating the work order characteristic baseline comprises the following steps: Acquiring an original signal mean value acquired during trial grinding and polishing operation and synchronously acquiring average particle concentration data; Subtracting the original signal mean value by using dark current data and environmental scattering background noise data in the equipment state baseline file to obtain a net signal response value; Normalizing the net signal response value by using the average particle concentration data to obtain a unit concentration response value; Calculating the ratio between the unit concentration response value and a standard sample reference value in the equipment state baseline file, and determining the ratio as a characteristic offset; Writing the characteristic offset into a device state baseline file, and generating a work order characteristic baseline by combining the device state baseline file.
  4. 4. The real-time monitoring and accounting system for gold damage data of gold ornament grinding and polishing process according to claim 1, wherein the specific process of sequentially collecting airflow speed, particle size distribution spectrum and material fluorescence response signals in the waste collection pipeline and generating multidimensional proxy data by combination comprises the following steps: The method comprises the steps of monitoring the air flow speed in real time by using a first-level air flow pressure sensor, and generating an effective sampling gating signal only when the air flow speed is in a preset effective interval; In response to the valid sampling gating signal, activating a secondary layer laser diffraction sensor to determine a particle size distribution spectrum; Determining triggering time based on particle size distribution spectrum, and synchronously triggering a three-level layer X-ray fluorescence sensor to acquire a material fluorescence response signal; And combining the airflow speed, the particle size distribution spectrum and the material fluorescence response signals into multi-dimensional proxy data.
  5. 5. The gold ornament grinding and polishing gold loss data real-time monitoring and accounting system according to claim 4, wherein the specific process of determining the trigger time based on the particle size distribution spectrum comprises the following steps: Integrating the number of particles in a preset target particle size range in a particle size distribution spectrum, and calculating the number density of the particles; comparing the particle number density with a preset density threshold; When the particle number density exceeds a density threshold, a synchronous trigger pulse for driving the tertiary layer X-ray fluorescence sensor is generated.
  6. 6. The gold ornament grinding and polishing gold loss data real-time monitoring and accounting system according to claim 3, wherein the specific process of extracting energy spectrum density characteristics and concentration characteristics comprises the following steps: Slicing the multidimensional proxy data according to a preset time window; calculating the arithmetic average value of fluorescence response signals of all materials in a preset time window, and taking the arithmetic average value as an energy spectrum density characteristic; And calculating the arithmetic average value of concentration values corresponding to specific particle size intervals in all particle size distribution spectrums in a preset time window, and taking the arithmetic average value as a concentration characteristic.
  7. 7. The real-time gold loss data monitoring and accounting system for gold ornament grinding and polishing process of claim 6, wherein the specific process of generating gold loss feature vector by normalizing and correcting the extracted features by using the air flow speed comprises the following steps: calculating the average airflow speed in a preset time window; Multiplying the energy spectrum density characteristic by the average airflow speed and a preset correction coefficient to obtain a corrected fluorescence characteristic parameter; Multiplying the concentration characteristic by the average airflow speed to obtain a corrected particle size characteristic parameter; And combining the corrected fluorescence characteristic parameters and the corrected particle size characteristic parameters into gold loss characteristic vectors.
  8. 8. The real-time monitoring and accounting system for gold damage data of gold ornament grinding and polishing process of claim 7, wherein the specific process of calculating the real-time gold damage mass flow rate comprises the following steps: Calling a device state baseline file and a work order characteristic baseline, and constructing a dynamic differential deduction model under the current working condition; correcting the fluorescence characteristic component in the gold loss characteristic vector by utilizing the characteristic offset in the work order characteristic baseline to obtain a corrected characteristic vector; And inputting the corrected feature vector into a nonlinear mapping function in a dynamic differential deduction model, and outputting the real-time gold loss mass flow rate representing the instantaneous content of the pure gold element by eliminating the operation of background interference and material difference.
  9. 9. The real-time monitoring and accounting system for gold damage data of gold ornament grinding and polishing process according to claim 1, wherein the specific process of integrating the real-time gold damage mass flow rate in time to generate the total value of accumulated gold damage comprises: calculating a time difference between two consecutive real-time gold loss mass flow rate data points; Multiplying the current real-time gold loss mass flow rate by the time difference to obtain gold loss mass in a tiny time period; and accumulating the gold loss quality in the tiny time period into the accumulated variable of the current work order until the work order state is ended, and obtaining the accumulated gold loss total value.
  10. 10. The gold ornament grinding and polishing gold loss data real-time monitoring and accounting system according to claim 9, wherein the specific process of generating the abnormal alarm signal when the total value of the accumulated gold losses exceeds the preset standard loss threshold value comprises the following steps: reading the total value of accumulated gold loss at the end of the work order life cycle; Retrieving a standard loss threshold value corresponding to the current product model from a database; And comparing the total accumulated gold loss value with a standard loss threshold, and generating an abnormal alarm signal containing information of the work order, the work station and the operator if the total accumulated gold loss value is larger than the standard loss threshold.

Description

Gold ornament grinding and polishing processing gold loss data real-time monitoring and accounting system Technical Field The invention relates to the technical field of gold ornament processing process monitoring, in particular to a gold ornament grinding and polishing processing gold loss data real-time monitoring and accounting system. Background In the manufacturing process of noble metal ornaments (such as gold ornaments), surface treatment procedures such as grinding, polishing and the like are indispensable links, but the procedures also generate unavoidable material loss. Because gold and other noble metals have high value, the loss of trace gold powder generated in the processing process is accurately measured and controlled, and the method has direct influence on the control of production cost and material balance. These losses are in the form of micron-sized dust and carried away by the air flow of the waste collection system, making real-time, accurate on-line measurements thereof facing a number of technical challenges, such as weak signals, complex environmental disturbances, and differences in the purity of different batches of product gold. To quantify this loss, a solution commonly adopted in the industry is the batch-based off-line metering method. The specific operation is that after a complete production shift or a batch of unions are bundled, the filtering device in the waste collection system is collected and weighed uniformly, and then the content of noble metals in the waste collection system is measured by means of chemical refining or spectral analysis. This way, the total loss value over a production cycle can be derived. Some factories also use a method of precisely weighing workpieces before and after processing, and the loss of a single product is reversely pushed by calculating the quality difference, but the method is generally limited to spot check or the production link of a specific high-value product. However, the above conventional approaches have certain limitations in terms of fine management and process control. First, the feedback period for offline metrology is lengthy, typically in days or weeks. When abnormal equipment parameters, improper operation or excessive cutter wear occur in the production process, which causes sudden increase of the gold loss rate, the manager cannot know and intervene at the first time, and large material loss may be caused before the problem is found. Secondly, the batch amount metering mode cannot accurately attribute the loss responsibility to a specific work order, equipment or operators, which is not beneficial to effective performance assessment and process optimization. Furthermore, for the scene that needs real-time monitoring, the existing online dust concentration sensor is to be improved in terms of distinguishing the target gold dust from the abrasive dust, overcoming the air flow fluctuation in the pipeline, the sensor drift and the like. Disclosure of Invention In view of this, in order to solve the problems set forth in the background art, a real-time monitoring and accounting system for gold damage data during polishing of gold ornaments is proposed. The invention provides a gold ornament polishing processing gold loss data real-time monitoring and accounting system which comprises an equipment state baseline construction module and a device state baseline generation module, wherein the equipment state baseline file is used for representing the current detection environment and is generated based on a background noise value and a basic optical background value which are acquired in a preset calibration state. The work order characteristic baseline generation module is used for acquiring the work order identity information, calculating the characteristic offset relative to the equipment state baseline file according to the trial polishing operation executed on the work order identity information, and generating the work order characteristic baseline. The multidimensional proxy data acquisition module sequentially acquires airflow speed, particle size distribution spectrum and material fluorescence response signals in the waste collection pipeline based on cascade trigger logic of airflow state and particle distribution, and combines the airflow speed, the particle size distribution spectrum and the material fluorescence response signals to generate multidimensional proxy data. And the gold loss feature vector analysis module is used for carrying out time domain analysis on the multidimensional proxy data, extracting energy spectrum density features and concentration features, and carrying out normalization correction on the extracted features by utilizing the airflow speed to generate gold loss feature vectors. And the gold loss mass flow rate deduction module is used for calling the equipment state baseline file and the work order characteristic baseline to construct a dynamic differential deduction model, inputting the g