Abnormal monitoring system for potassium aurous cyanide production process

Abstract

The invention relates to the technical field of potassium aurous cyanide production, and discloses a potassium aurous cyanide production process abnormity monitoring system, which comprises a data acquisition module used for acquiring temperature data in a primary crystallization and re-dissolution process, and constructing a dissolution time-temperature curve in a crystallization dissolution process; the time-temperature analysis module is used for analyzing the dissolution time-temperature curve to obtain dissolution time-temperature data, and obtaining a dissolution time-temperature characterization value based on the dissolution time-temperature data; according to the method, the time, the deviation degree and the deviation influence of the dissolution time-temperature curve and the crystallization dissolution temperature range value are processed, and dissolution time-temperature data are obtained; and integrating the dissolution time-temperature data and the crystallization integrity to obtain a dissolution time-temperature characterization value, and completing abnormity monitoring in the crystallization production process based on the dissolution time-temperature characterization value.

Description

Technical Field

[0001] The invention relates to the technical field of potassium aurous cyanide production, and in particular to an abnormality monitoring system for a potassium aurous cyanide production process. Background Art

[0002] Potassium cyanogen gold is commonly known as gold salt, with the chemical formula KAu(CN)2. Potassium cyanogen gold is a very important chemical reagent in gold plating and alloying processes. It is mainly used for electroplating and chemical gold plating. The coating is fine and bright, with strong corrosion resistance, good conductivity, and easy welding. It is widely used in the electroplating of parts that require long-term stable electrical parameter performance, such as precision instruments, printed circuit boards, integrated circuits, electronic tube shells, and electrical contacts, as well as jewelry, watch parts, artworks, and decorative products. Other metal ions such as Ni and Co can also be added to the plating solution to improve the corrosion resistance of the coating or improve other properties. This makes potassium cyanogen gold very popular.

[0003] In the production process of potassium gold cyanide, pure water at rated temperature is required to be used for stirring and washing the crystals so that the crystals are fully in contact with the washing water, so as to wash away as much impurities, mother liquor residues and other soluble substances attached to the surface of the crystals as possible. However, the temperature of the washing water and the integrity of the crystals need to be monitored during the washing process.

[0004] Based on this, a system for monitoring abnormality in the production process of potassium gold cyanide was proposed. Summary of the invention

[0005] The object of the present invention is to provide an abnormal monitoring system for the production process of potassium cyanogen gold, by collecting temperature data in the process of initial crystallization and re-dissolution, constructing a dissolution time-temperature curve in the crystallization dissolution process, and then integrating the dissolution time-temperature data with the crystallization integrity to obtain a dissolution time-temperature characterization value, and completing abnormal monitoring of the crystallization production process based on the dissolution time-temperature characterization value.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A system for monitoring abnormality in the production process of potassium aurous cyanide, comprising:

[0008] A data acquisition module is used to collect temperature data during the initial crystallization and re-dissolution process to construct a dissolution time-temperature curve during the crystallization and dissolution process;

[0009] A time-temperature analysis module, which is used to analyze the dissolution time-temperature curve to obtain dissolution time-temperature data, and obtain a dissolution time-temperature characterization value based on the dissolution time-temperature data;

[0010] The abnormal monitoring module identifies the abnormal state of the potassium gold cyanide production process based on the dissolution time-temperature characterization value.

[0011] As a further solution of the present invention: the dissolution time-temperature data include the dissolution abnormal time ratio, the dissolution abnormal surface ratio and the dissolution temperature difference deviation ratio;

[0012] The abnormal dissolution time ratio is recorded as Rtb;

[0013] The dissolution anomaly surface ratio is denoted as Rmb;

[0014] The melting temperature difference ratio is recorded as Rwb;

[0015] By formula The melting temperature characterization value Rb is calculated, where a1, a2, and a3 are preset proportional coefficients, and k is the crystallization characterization coefficient.

[0016] As a further solution of the present invention: comparing the melting time temperature characterization value Rb with the melting time temperature characterization threshold value rb;

[0017] If the dissolution temperature characterization value Rb ≥ the dissolution temperature characterization threshold rb, it means that the temperature of the initial crystallization and re-dissolution process is abnormal, and a crystallization dissolution abnormality signal is generated;

[0018] If the dissolution temperature characterization value Rb is less than the dissolution temperature characterization threshold rb, it means that the temperature of the initial crystallization and re-dissolution process is normal, and a normal crystallization and dissolution signal is generated.

[0019] As a further solution of the present invention: the process of obtaining the crystallization characterization coefficient is:

[0020] Use deep learning frameworks to build convolutional neural network models;

[0021] Collect a large number of crystal images with different crystal integrity, and annotate the integrity coefficient corresponding to each crystal image to form a data set, and use the data set to train the model;

[0022] Collect crystal pictures at different positions of the crystals obtained after washing during the dissolution process;

[0023] Apply the trained model to each crystal image to obtain the integrity coefficient corresponding to each crystal image;

[0024] The integrity coefficients corresponding to all crystal images are summed and averaged to obtain the crystal characterization coefficient.

[0025] As a further solution of the present invention: the process of constructing the dissolution time-temperature curve is:

[0026] Obtain the total duration of the crystal dissolution process, and divide the total duration of the crystal dissolution process into a number of time units;

[0027] Obtain the washing water temperature corresponding to the middle moment of each time unit;

[0028] A plane coordinate system is established with time as the X-axis and washing water temperature as the Y-axis;

[0029] The washing water temperature corresponding to each time unit in the crystal dissolution process is plotted on a plane coordinate system in chronological order, and the points corresponding to the washing water temperature corresponding to all time units are connected from left to right with a smooth curve to obtain a dissolution time-temperature curve.

[0030] As a further solution of the present invention: constructing a first dissolution temperature boundary and a second dissolution temperature boundary in a plane coordinate system using the crystal dissolution temperature range value;

[0031] The dissolution time-temperature curve is divided into an abnormal time-temperature region and a normal time-temperature region by the first dissolution temperature boundary and the second dissolution temperature boundary.

[0032] As a further solution of the present invention: the process of obtaining the dissolution abnormality ratio is:

[0033] Get the total duration corresponding to the abnormal temperature area;

[0034] The total duration corresponding to the temperature anomaly area is calculated by ratio to the total duration of the crystallization and dissolution process to obtain the dissolution anomaly time ratio.

[0035] As a further solution of the present invention: the process of obtaining the dissolution abnormal surface ratio is:

[0036] Get the area value corresponding to the abnormal temperature area;

[0037] Get the area value corresponding to the normal temperature area;

[0038] The ratio of the area value corresponding to the abnormal temperature region to the area value corresponding to the normal temperature region is calculated to obtain the dissolution abnormality surface ratio.

[0039] As a further solution of the present invention: the process of obtaining the dissolution temperature difference ratio is:

[0040] Obtain the maximum temperature deviation value and the minimum temperature deviation value corresponding to the abnormal temperature area;

[0041] Calculate the difference between the maximum temperature deviation value and the first dissolution temperature value to obtain the maximum temperature deviation value, and calculate the ratio between the maximum temperature deviation value and the first dissolution temperature value to obtain a first temperature difference ratio;

[0042] Calculate the difference between the minimum temperature deviation value and the second dissolution temperature value and take the absolute value to obtain the minimum temperature deviation value, and calculate the ratio of the minimum temperature deviation value to the second dissolution temperature value to obtain the second temperature difference ratio;

[0043] The first temperature difference ratio and the second temperature difference ratio are summed and averaged to obtain the dissolution temperature difference ratio.

[0044] Beneficial effects of the present invention: The present invention collects temperature data during the secondary dissolution process of the initial crystallization, constructs a dissolution time-temperature curve during the crystallization dissolution process, processes the dissolution time-temperature curve and the crystallization dissolution temperature range value in terms of time, deviation degree and deviation impact, and obtains dissolution time-temperature data, then integrates the dissolution time-temperature data with the crystallization integrity to obtain a dissolution time-temperature characterization value, and completes abnormal monitoring of the crystallization production process based on the dissolution time-temperature characterization value. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The present invention will be further described below in conjunction with the accompanying drawings.

[0046] Figure 1 This is a workflow diagram of an abnormal monitoring system for a potassium gold cyanide production process according to an embodiment of the present invention;

[0047] Figure 2 This is a flow chart of identifying the crystal dissolution state in an abnormal monitoring system for a potassium gold cyanide production process according to an embodiment of the present invention;

[0048] Figure 3 It is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] See also Figure 1-Figure 2 As shown, the present invention is a system for monitoring abnormality in the production process of potassium auric cyanide, comprising:

[0051] A data acquisition module is used to collect temperature data during the initial crystallization and re-dissolution process to construct a dissolution time-temperature curve during the crystallization and dissolution process;

[0052] A time-temperature analysis module, which is used to analyze the dissolution time-temperature curve to obtain dissolution time-temperature data, and obtain a dissolution time-temperature characterization value based on the dissolution time-temperature data;

[0053] The abnormal monitoring module identifies the abnormal state of the potassium gold cyanide production process based on the dissolution time-temperature characterization value.

[0054] Example 2

[0055] The temperature of the washing water should be strictly controlled during the crystal washing process of potassium gold cyanide production. High temperature may cause the potassium gold cyanide crystals to decompose or discolor, thereby affecting the purity and quality of the product. When the temperature is too low, the crystallization rate slows down, which may cause the generated crystals to have uneven particle size or produce a large number of fine crystals. Based on this, the temperature of the crystal washing process is monitored in this embodiment;

[0056] The construction process of the dissolution time-temperature curve during the crystallization dissolution process is:

[0057] Obtain the total duration of the crystal dissolution process, and divide the total duration of the crystal dissolution process into a number of time units;

[0058] Obtain the washing water temperature corresponding to the middle moment of each time unit;

[0059] A plane coordinate system is established with time as the X-axis and washing water temperature as the Y-axis;

[0060] The washing water temperature corresponding to each time unit in the crystal dissolution process is plotted on a plane coordinate system in chronological order, and the points corresponding to the washing water temperature corresponding to all time units are connected from left to right with a smooth curve to obtain a dissolution time-temperature curve;

[0061] Obtaining a crystal dissolution temperature range value, and recording an upper limit value of the crystal dissolution temperature range value as a first dissolution temperature value;

[0062] The lower limit of the crystallization dissolution temperature range is recorded as the second dissolution temperature value;

[0063] Draw a horizontal line parallel to the X-axis at the first dissolution temperature value in the plane coordinate system, and record it as the first dissolution temperature boundary;

[0064] Draw a horizontal line parallel to the X-axis at the second melting temperature value in the plane coordinate system, and record it as the second melting temperature boundary;

[0065] Analyze the dissolution time-temperature curve, the first dissolution temperature boundary and the second dissolution temperature boundary;

[0066] The area of ​​the dissolution time-temperature curve above the first dissolution temperature boundary is recorded as the first abnormal area;

[0067] The area of ​​the dissolution time-temperature curve below the second dissolution temperature boundary is recorded as the second abnormal area;

[0068] The first abnormal area and the second abnormal area are recorded as time-temperature abnormal areas;

[0069] The area of ​​the dissolution time-temperature curve between the first dissolution temperature boundary and the second dissolution temperature boundary is recorded as the normal time-temperature area.

[0070] Get the total duration corresponding to the abnormal temperature area;

[0071] The total time corresponding to the abnormal temperature area is calculated by ratio to the total time of the crystallization dissolution process to obtain the abnormal dissolution time ratio;

[0072] Get the area value corresponding to the abnormal temperature area;

[0073] Get the area value corresponding to the normal temperature area;

[0074] The area value corresponding to the abnormal temperature region is calculated by ratio with the area value corresponding to the normal temperature region to obtain the abnormal dissolution surface ratio;

[0075] Obtain the maximum temperature deviation value and the minimum temperature deviation value corresponding to the abnormal temperature area;

[0076] Calculate the difference between the maximum temperature deviation value and the first dissolution temperature value to obtain the maximum temperature deviation value, and calculate the ratio between the maximum temperature deviation value and the first dissolution temperature value to obtain a first temperature difference ratio;

[0077] Calculate the difference between the minimum temperature deviation value and the second dissolution temperature value and take the absolute value to obtain the minimum temperature deviation value, and calculate the ratio of the minimum temperature deviation value to the second dissolution temperature value to obtain the second temperature difference ratio;

[0078] The first temperature difference ratio and the second temperature difference ratio are summed and averaged to obtain the dissolution temperature difference ratio;

[0079] The abnormal dissolution time ratio is recorded as Rtb;

[0080] The dissolution anomaly surface ratio is recorded as Rmb;

[0081] The melting temperature difference ratio is recorded as Rwb;

[0082] By formula The melting temperature characterization value Rb is calculated, wherein a1, a2, and a3 are preset proportional coefficients, wherein a1, a2, and a3 are all greater than zero, and k is a crystallization characterization coefficient;

[0083] The dissolution time-temperature characterization threshold is preset as rb, and the dissolution time-temperature characterization value Rb is compared with the dissolution time-temperature characterization threshold rb;

[0084] If the dissolution temperature characterization value Rb ≥ the dissolution temperature characterization threshold rb, it means that the temperature of the initial crystallization and re-dissolution process is abnormal, and a crystallization dissolution abnormality signal is generated;

[0085] If the dissolution temperature characterization value Rb is less than the dissolution temperature characterization threshold rb, it means that the temperature of the initial crystallization and re-dissolution process is normal, and a normal crystallization and dissolution signal is generated;

[0086] Thus, the status monitoring of the initial crystallization and re-dissolution in the production process of potassium gold cyanide is completed.

[0087] Among them, the process of obtaining the crystal characterization coefficient is:

[0088] Use deep learning frameworks to build convolutional neural network models;

[0089] Collect a large number of crystal images with different crystal integrity, and annotate the integrity coefficient corresponding to each crystal image to form a data set, and use the data set to train the model;

[0090] In the training process, the error between the predicted integrity coefficient and the true value is minimized by continuously adjusting the parameters of the model;

[0091] Collect crystal pictures at different positions of the crystals obtained after washing during the dissolution process;

[0092] Apply the trained model to each crystal image to obtain the integrity coefficient corresponding to each crystal image;

[0093] The integrity coefficients corresponding to all crystal images are summed and averaged to obtain the crystal characterization coefficient.

[0094] Example 3

[0095] Reference Figure 3 The embodiment of the present invention further provides a computer device 3, comprising: a memory 302 and a processor 301 and a computer program 303 stored in the memory 302. When the computer program 303 is executed on the processor 301, a monitoring method for an abnormal monitoring system of a potassium cyanide gold production process as described in any one of the above methods is implemented.

[0096] The computer device 3 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The computer device 3 may include, but is not limited to, a processor 301 and a memory 302. Those skilled in the art will appreciate that

[0097] Figure 3 It is only an example of computer device 3 and does not constitute a limitation on computer device 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, it may also include input and output devices, network access devices, etc.

[0098] The processor 301 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0099] In some embodiments, the memory 302 may be an internal storage unit of the computer device 3, such as a hard disk or memory of the computer device 3. In other embodiments, the memory 302 may also be an external storage device of the computer device 3, such as a plug-in hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer device 3. Further, the memory 302 may also include both an internal storage unit of the computer device 3 and an external storage device. The memory 302 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 302 may also be used to temporarily store data that has been output or is to be output.

[0100] Example 4

[0101] An embodiment of the present invention also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, a monitoring method for an abnormality monitoring system for a potassium cyanide gold production process as described in any one of the above methods is implemented.

[0102] In this embodiment, if the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0103] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0104] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0105] In the embodiments disclosed in the present application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0106] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0107] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0108] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A system for monitoring abnormality in the production process of potassium cyanogen gold, characterized in that: include: A data acquisition module is used to collect temperature data during the initial crystallization and re-dissolution process to construct a dissolution time-temperature curve during the crystallization and dissolution process; A time-temperature analysis module, which is used to analyze the dissolution time-temperature curve to obtain dissolution time-temperature data, and obtain a dissolution time-temperature characterization value based on the dissolution time-temperature data; The abnormal monitoring module identifies the abnormal state of the potassium gold cyanide production process based on the dissolution time-temperature characterization value.

2. The system for monitoring abnormality during the production of potassium cyanogen gold according to claim 2, characterized in that: Dissolution time-temperature data include dissolution anomaly time ratio, dissolution anomaly surface ratio and dissolution temperature difference deviation ratio; The abnormal dissolution time ratio is recorded as Rtb; The dissolution anomaly surface ratio is recorded as Rmb; The melting temperature difference ratio is recorded as Rwb; By formula The melting temperature characterization value Rb is calculated, where a1, a2, and a3 are preset proportional coefficients, and k is the crystallization characterization coefficient.

3. A system for monitoring abnormality in the production process of potassium cyanogen gold according to claim 2, characterized in that: Compare the melting time-temperature characterization value Rb with the melting time-temperature characterization threshold value rb; If the dissolution temperature characterization value Rb ≥ the dissolution temperature characterization threshold rb, it means that the temperature of the initial crystallization and re-dissolution process is abnormal, and a crystallization dissolution abnormality signal is generated; If the dissolution temperature characterization value Rb is less than the dissolution temperature characterization threshold rb, it means that the temperature of the initial crystallization and re-dissolution process is normal, and a normal crystallization and dissolution signal is generated.

4. The system for monitoring abnormality during the production of potassium gold cyanide according to claim 3, characterized in that: The process of obtaining the crystallization characterization coefficient is: Use deep learning frameworks to build convolutional neural network models; Collect a large number of crystal images with different crystal integrity, and annotate the integrity coefficient corresponding to each crystal image to form a data set, and use the data set to train the model; Collect crystal pictures at different positions of the crystals obtained after washing during the dissolution process; Apply the trained model to each crystal image to obtain the integrity coefficient corresponding to each crystal image; The integrity coefficients corresponding to all crystal images are summed and averaged to obtain the crystal characterization coefficient.

5. The system for monitoring abnormality during the production of potassium cyanogen gold according to claim 2, characterized in that: The construction process of the melting time-temperature curve is: Obtain the total duration of the crystal dissolution process, and divide the total duration of the crystal dissolution process into a number of time units; Obtain the washing water temperature corresponding to the middle moment of each time unit; A plane coordinate system is established with time as the X-axis and washing water temperature as the Y-axis; The washing water temperature corresponding to each time unit in the crystal dissolution process is plotted on a plane coordinate system in chronological order, and the points corresponding to the washing water temperature corresponding to all time units are connected from left to right with a smooth curve to obtain a dissolution time-temperature curve.

6. The system for monitoring abnormality during the production of potassium gold cyanide according to claim 5, characterized in that: The crystallization dissolution temperature range value is used to construct a first dissolution temperature boundary and a second dissolution temperature boundary in a plane coordinate system; The dissolution time-temperature curve is divided into an abnormal time-temperature region and a normal time-temperature region by the first dissolution temperature boundary and the second dissolution temperature boundary.

7. The system for monitoring abnormality during the production of potassium gold cyanide according to claim 6, characterized in that: The process of obtaining the dissolution anomaly ratio is: Get the total duration corresponding to the abnormal temperature area; The total duration corresponding to the temperature anomaly area is calculated by ratio to the total duration of the crystallization and dissolution process to obtain the dissolution anomaly time ratio.

8. The system for monitoring abnormality during the production of potassium gold cyanide according to claim 6, characterized in that: The process of obtaining the dissolution anomaly surface ratio is as follows: Get the area value corresponding to the abnormal temperature area; Get the area value corresponding to the normal temperature area; The ratio of the area value corresponding to the abnormal temperature region to the area value corresponding to the normal temperature region is calculated to obtain the dissolution abnormality surface ratio.

9. The system for monitoring abnormality during the production of potassium gold cyanide according to claim 6, characterized in that: The process of obtaining the dissolution temperature difference ratio is as follows: Obtain the maximum temperature deviation value and the minimum temperature deviation value corresponding to the abnormal temperature area; Calculate the difference between the maximum temperature deviation value and the first dissolution temperature value to obtain the maximum temperature deviation value, and calculate the ratio between the maximum temperature deviation value and the first dissolution temperature value to obtain a first temperature difference ratio; Calculate the difference between the minimum temperature deviation value and the second dissolution temperature value and take the absolute value to obtain the minimum temperature deviation value, and calculate the ratio of the minimum temperature deviation value to the second dissolution temperature value to obtain the second temperature difference ratio; The first temperature difference ratio and the second temperature difference ratio are summed and averaged to obtain the dissolution temperature difference ratio.

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