A comprehensive utilization system of gold cyanide tailings resources

Abstract

The present invention relates to the technical field of data analysis, and in particular to a comprehensive utilization system of gold cyanidation tailings resources, comprising: the gold cyanidation tailings are used to extract valuable metals based on a flotation method; a metering module, used to measure the mass of ore pulp and the extracted valuable metals in real time; a collection module, used to collect ore pulp image data; an analysis module, used to retrieve the mass of the ore pulp and the extracted valuable metals measured in the metering module and the ore pulp image data collected by the collection module, and analyze the extraction efficiency of the ore pulp extracting valuable metals based on the retrieved data; the present invention collects the quality parameters of the ore pulp and the image data after the ore pulp extracts the valuable metals based on the flotation method of the gold cyanidation tailings, and then comprehensively analyzes the extraction efficiency of the ore pulp extracting valuable metals operation based on the collected data, and represents the analyzed extraction efficiency in a digital form, so as to ensure the reliability of the continuous extraction operation of the gold cyanidation tailings based on the flotation method.

Description

Technical Field

[0001] The invention relates to the technical field of data analysis, and in particular to a comprehensive utilization system of gold cyanide tailings resources. Background Art

[0002] Flotation is a commonly used mineral processing method used to separate and enrich valuable minerals from ores. In gold cyanide tailings, flotation can be used to recover residual gold and other valuable metals.

[0003] The basic principle of flotation is to use the difference in physical and chemical properties of the mineral surface to separate valuable minerals from gangue through the attachment and separation of bubbles and mineral particles. In gold cyanide tailings, gold usually exists in the form of fine particles. The flotation method can change the hydrophobicity of the mineral surface by adding appropriate flotation agents, so that it can attach to bubbles and float, thereby separating it from other gangue minerals.

[0004] However, when the flotation method is currently used to extract valuable metals from gold cyanide tailings, the process of extracting valuable metals is often repeated to fully extract the valuable metals from the gold cyanide tailings. The process of extracting valuable metals in this way is often controlled by operators, and it is impossible to extract the valuable metals from the gold cyanide tailings efficiently and accurately, which easily leads to low extraction efficiency and high extraction cost of valuable metals.

[0005] Therefore, we proposed a comprehensive utilization system of gold cyanide tailings resources. Summary of the invention

[0006] In view of the above-mentioned shortcomings of the prior art, the present invention provides a system for comprehensive utilization of gold cyanide tailings resources, which solves the technical problems raised in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] A comprehensive utilization system of gold cyanide tailings resources, comprising:

[0009] The gold cyanide tailings are used to extract valuable metals based on flotation method;

[0010] A metering module is used to measure the mass of the ore pulp and the extracted valuable metals in real time; an acquisition module is used to acquire ore pulp image data; an analysis module is used to retrieve the mass of the ore pulp and the extracted valuable metals measured in the metering module and the ore pulp image data acquired by the acquisition module, and analyze the extraction efficiency of the process of extracting valuable metals from the ore pulp based on the retrieved data; a determination module is used to receive the extraction efficiency analysis results of the process of extracting valuable metals from the ore pulp in the analysis module, and determine whether the operation of extracting valuable metals from the ore pulp is effective based on the analysis results; a recording module is used to record the determination results of whether the operation of extracting valuable metals from the ore pulp in the determination module is effective;

[0011] Among them, when the gold cyanide tailings are used to extract valuable metals based on the flotation method, the flotation agent and water are configured in a specified proportion, and the resulting mixture is recorded as slurry.

[0012] Furthermore, the collection module is operated after the valuable metals are extracted from the slurry each time, and submodules are arranged inside the collection module, including:

[0013] A light source module, used to illuminate the bottom of the slurry;

[0014] Among them, the slurry is contained in a transparent container with a stirring function, the light source module is deployed at the bottom of the slurry containing container, and illuminates the slurry contained in the container through the bottom wall of the container. The acquisition module is integrated by a high-speed camera, and the acquisition module is deployed at the top opening position of the slurry containing container to collect slurry image data. The acquisition module and the light source module operate synchronously. Before the acquisition module collects slurry image data each time, the slurry containing equipment continuously stirs the slurry contained inside for a specified time. The stirring time is manually set by the system end user. After the stirring is completed, the acquisition module is triggered to run.

[0015] Furthermore, the metering module and the acquisition module are provided with submodules at the lower level, including:

[0016] A storage unit is used to receive the ore pulp and the valuable metal mass measured in the metering module and the ore pulp image data collected by the acquisition module, and store the ore pulp and the valuable metal mass measured in the metering module and the ore pulp image data collected by the acquisition module;

[0017] Among them, the slurry and valuable metal mass measured in the metering module and the slurry image data collected by the acquisition module from the same valuable metal extraction operation are bound to each other and stored in the storage unit, and are distinguished and marked based on the start timestamp of the valuable metal extraction operation.

[0018] Furthermore, when the slurry image data is stored, the slurry image data is optimized and processed synchronously, and after the optimization, the slurry image data obtained by the optimization is used to iterate the original slurry image data, and then the storage operation is performed;

[0019] The optimization processing logic of the slurry image data is expressed as follows:

[0020]

[0021] Where: P′ is the pixel value of the optimized image; P is the pixel value of the original image; k1, k2, k3, k4 are adjustment parameters; n is the total number of pixels in the original image; P i is the pixel value of the i-th group of pixels; μ is the mean pixel value of the original image; σ is the standard deviation of the pixel values ​​in the original image;

[0022] The optimized slurry image data is determined based on the pixel value P′ of the optimized image, and the adjustment parameters k1, k2, k3, and k4 are manually set by the system end user and applied to each slurry image data that performs the optimization process.

[0023] Furthermore, the ore pulp measured in the metering module and the mass of the valuable metals extracted, and the ore pulp image data collected by the collection module retrieved in the analysis module are sourced from the storage unit;

[0024] The analysis module is provided with submodules at the lower level, including:

[0025] A retrieval unit, used to retrieve the measured slurry and valuable metal quality and slurry image data stored in the storage unit;

[0026] When retrieving data from the retrieval unit and the storage unit, continuous retrieval is performed based on the data tags, and the retrieved data is the latest stored data corresponding to the two sets of tags.

[0027] Furthermore, the extraction efficiency of the valuable metal extraction process from the slurry in the analysis module is calculated by the following formula:

[0028]

[0029] Where: Q is the extraction efficiency of valuable metals from slurry; f is the complexity of slurry image data collected after valuable metals are extracted; g all is the mass of the slurry before the valuable metals are extracted; g0 is the mass of the valuable metals extracted from the slurry; γ is a constant;

[0030] Among them, the constant γ>0 is used to control the final value of the extraction efficiency Q of valuable metals extracted from ore slurry. Each group of data retrieved by the retrieval unit is based on the above formula to obtain the extraction efficiency Q of valuable metals extracted from ore slurry. The obtained Q is expressed as Q1 and Q2 based on the time series arrangement.

[0031] Furthermore, the complexity of the slurry image data is calculated by the following formula:

[0032]

[0033] Where: C is the complexity of the slurry image data; m is the total number of pixels in the slurry image data; c j is the color richness of the j-th group of pixels; D j is the detail density of the jth group of pixels; u is the number of image blocks that the slurry image data is equally divided into when performing complexity calculation; E v is the edge strength of the vth group of image blocks;

[0034] The color richness of the pixel is represented by the variance of the color channel, and the detail density of the pixel is represented by the grayscale difference between adjacent pixels. When the slurry image data is segmented, the system end user manually decides the number of segmentations.

[0035] Furthermore, the judgment logic of whether the operation of extracting valuable metals from slurry in the judgment module is effective is expressed as:

[0036]

[0037] Where: Q0 is the operational effectiveness judgment value for extracting valuable metals from slurry;

[0038] Wherein, Q0 is set by the system end user. When both equation (1) and equation (2) are established, it is determined that the operation of extracting valuable metals from the slurry is effective. Otherwise, it is determined that the operation of extracting valuable metals from the slurry is invalid. After the operation of extracting valuable metals from the gold cyanide tailings based on the flotation method is completed, new gold cyanide tailings and flotation reagents are added to the slurry or the slurry in the container is replaced.

[0039] Furthermore, the recorded contents in the recording module also include the measured pulp and valuable metal quality stored in the storage unit for completing the extraction benefit analysis, and the pulp image data collected by the collection module.

[0040] Furthermore, the metering module is interactively connected to the acquisition module through a local area network, the acquisition module is electrically connected to the light source module through a medium, the metering module and the acquisition module are interactively connected to the storage unit through the local area network, the acquisition module is interactively connected to the analysis module through the local area network, the analysis module is interactively connected to the retrieval unit through the local area network, the retrieval unit is interactively connected to the storage unit through the local area network, and the analysis module is interactively connected to the determination module and the recording module through the local area network.

[0041] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0042] The present invention provides a comprehensive utilization system of gold cyanidation tailings resources. During operation, the system collects quality parameters of pulp and image data after valuable metals are extracted from the pulp based on the flotation method of gold cyanidation tailings, and then comprehensively analyzes the extraction benefits of the operation of extracting valuable metals from the pulp based on the collected data, and represents the analyzed extraction benefits in a digital form, so as to ensure the reliability of the continuous extraction operation of the gold cyanidation tailings based on the flotation method, so that the operator no longer relies on personal experience to repeatedly extract the gold cyanidation tailings, and provides the operator with more effective references, thereby maintaining the stability and reliability of the gold cyanidation tailings in the process of extracting valuable metals based on the flotation method. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0044] Figure 1 This is a structural schematic diagram of a comprehensive utilization system for gold cyanide tailings resources. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0046] The present invention will be further described below in conjunction with the embodiments.

[0047] Embodiment 1:

[0048] A gold cyanide tailings resource comprehensive utilization system of this embodiment, such as Figure 1 As shown, including:

[0049] Extract valuable metals from gold cyanide tailings based on flotation method;

[0050] Metering module, used to measure the quality of slurry and extracted valuable metals in real time;

[0051] An acquisition module, used for acquiring slurry image data;

[0052] The collection module is run after the valuable metals are extracted from the slurry each time. The collection module is internally provided with submodules, including:

[0053] A light source module, used to illuminate the bottom of the slurry;

[0054] Among them, the slurry is contained in a transparent container with a stirring function, the light source module is deployed at the bottom of the slurry container to illuminate the slurry contained in the container through the bottom wall of the container, the acquisition module is integrated with a high-speed camera, the acquisition module is deployed at the top opening of the slurry container, and the slurry image data is collected. The acquisition module and the light source module run synchronously. Before the acquisition module collects slurry image data each time, the slurry containing equipment continuously stirs the slurry contained inside for a specified time. The stirring time is manually set by the system end user. After the stirring is completed, the acquisition module is triggered to run;

[0055] The metering module and the acquisition module are provided with submodules, including:

[0056] A storage unit is used to receive the ore pulp and the valuable metal mass measured in the metering module and the ore pulp image data collected by the acquisition module, and store the ore pulp and the valuable metal mass measured in the metering module and the ore pulp image data collected by the acquisition module;

[0057] Among them, the pulp and valuable metal mass measured in the metering module and the pulp image data collected by the collection module from the same valuable metal extraction operation are bound to each other and stored in the storage unit, and are distinguished and marked based on the start timestamp of the valuable metal extraction operation;

[0058] The analysis module is used to retrieve the mass of the slurry and the extracted valuable metals measured by the metering module and the slurry image data collected by the acquisition module, and analyze the extraction efficiency of the slurry extraction process of valuable metals based on the retrieved data;

[0059] The ore pulp measured in the metering module and the mass of the valuable metals extracted, and the ore pulp image data collected by the acquisition module retrieved in the analysis module are sourced from the storage unit;

[0060] The analysis module is provided with submodules, including:

[0061] A retrieval unit, used to retrieve the measured slurry and valuable metal quality and slurry image data stored in the storage unit;

[0062] When retrieving data from the retrieval unit and the storage unit, continuous retrieval is performed based on the data tags, and the retrieved data is the latest stored data corresponding to the two sets of tags;

[0063] A determination module is used to receive the extraction benefit analysis result of the process of extracting valuable metals from the ore pulp in the analysis module, and determine whether the operation of extracting valuable metals from the ore pulp is effective based on the analysis result;

[0064] A recording module, used to record the determination result of whether the operation of extracting valuable metals from slurry in the determination module is effective;

[0065] Among them, when gold cyanide tailings are used to extract valuable metals based on flotation method, flotation reagents and water are mixed in a specified ratio, and the resulting mixture is recorded as slurry;

[0066] The metering module is interactively connected to the acquisition module through a local area network, the acquisition module is electrically connected to the light source module through a medium, the metering module and the acquisition module are interactively connected to the storage unit through the local area network, the acquisition module is interactively connected to the analysis module through the local area network, the analysis module is interactively connected to the retrieval unit through the local area network, the retrieval unit is interactively connected to the storage unit through the local area network, and the analysis module is interactively connected to the determination module and the recording module through the local area network.

[0067] In this embodiment, the metering module operates to measure the mass of the ore pulp and the extracted valuable metals in real time, the acquisition module operates to collect ore pulp image data, the light source module operates to illuminate the bottom of the ore pulp in real time, the storage unit synchronously receives the mass of the ore pulp and the valuable metals measured in the metering module and the ore pulp image data collected by the acquisition module, and stores the mass of the ore pulp and the valuable metals measured in the metering module and the ore pulp image data collected by the acquisition module. The analysis module then retrieves the mass of the ore pulp and the extracted valuable metals measured in the metering module and the ore pulp image data collected by the acquisition module, and analyzes the extraction efficiency of the process of extracting valuable metals from the ore pulp based on the retrieved data. The retrieval unit synchronously retrieves the measured mass of the ore pulp and the valuable metals and the ore pulp image data stored in the storage unit, and the determination module post-operates to receive the extraction efficiency analysis results of the process of extracting valuable metals from the ore pulp in the analysis module, and determines whether the operation of extracting valuable metals from the ore pulp is effective based on the analysis results. Finally, the recording module records the determination result of whether the operation of extracting valuable metals from the ore pulp in the determination module is effective.

[0068] Through the operation of the system in the above embodiment, intelligent monitoring and analysis is provided for the process of extracting valuable metals from gold cyanide tailings based on flotation method, ensuring stable completion of valuable metal extraction, and the extraction process is no longer completely dependent on historical operating experience.

[0069] Embodiment 2:

[0070] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The gold cyanide tailings resource comprehensive utilization system in Example 1 is further specifically described:

[0071] When the slurry image data is being stored, the slurry image data is optimized and processed synchronously. After the optimization, the slurry image data obtained by the optimization is used to iterate the original slurry image data before the storage operation is performed.

[0072] Through the above settings, further operation logic support is provided for the operation of the storage unit in Example 1

[0073] The optimization processing logic of slurry image data is expressed as:

[0074]

[0075] Where: P′ is the pixel value of the optimized image; P is the pixel value of the original image; k1, k2, k3, k4 are adjustment parameters; n is the total number of pixels in the original image; P i is the pixel value of the i-th group of pixels; μ is the mean pixel value of the original image; σ is the standard deviation of the pixel values ​​in the original image;

[0076] The optimized slurry image data is determined based on the pixel value P′ of the optimized image, and the adjustment parameters k1, k2, k3, and k4 are manually set by the system end user and applied to each slurry image data that performs the optimization process.

[0077] Through the above logic formula, the slurry image data is optimized, so that the same further output results in Example 1 are more accurate.

[0078] like Figure 1 As shown, the extraction efficiency of the valuable metal extraction process from the slurry in the analysis module is calculated by the following formula:

[0079]

[0080] Where: Q is the extraction efficiency of valuable metals from slurry; f is the complexity of slurry image data collected after valuable metals are extracted; g all is the mass of the slurry before the valuable metals are extracted; g0 is the mass of the valuable metals extracted from the slurry; γ is a constant;

[0081] Among them, the constant γ>0 is used to control the final value of the extraction benefit Q of valuable metals extracted from slurry. Each set of data retrieved by the retrieval unit is based on the above formula to obtain the extraction benefit Q of valuable metals extracted from slurry. The obtained Q is expressed as Q1 and Q2 based on the time series arrangement;

[0082] The complexity of the slurry image data is calculated using the following formula:

[0083]

[0084] Where: C is the complexity of the slurry image data; m is the total number of pixels in the slurry image data; c j is the color richness of the jth group of pixels; D j is the detail density of the jth group of pixels; u is the number of image blocks that the slurry image data is equally divided into when performing complexity calculation; E v is the edge strength of the vth group of image blocks;

[0085] The color richness of the pixel is represented by the variance of the color channel, and the detail density of the pixel is represented by the grayscale difference between adjacent pixels. When the slurry image data is segmented, the system user manually decides the number of segments.

[0086] Through the above formula, the analysis logic of the extraction efficiency of the process of extracting valuable metals from ore slurry in the analysis module is further defined, ensuring that the extraction efficiency of the process of extracting valuable metals from ore slurry is stably output in a digital form.

[0087] Embodiment 3:

[0088] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The gold cyanide tailings resource comprehensive utilization system in Example 1 is further specifically described:

[0089] The decision logic of whether the operation of extracting valuable metals from slurry in the decision module is effective is expressed as:

[0090]

[0091] Where: Q0 is the operational effectiveness judgment value for extracting valuable metals from slurry;

[0092] Wherein, Q0 is set by the system end user. When equation (1) and equation (2) are both established, it is determined that the operation of extracting valuable metals from the slurry is effective. Otherwise, it is determined that the operation of extracting valuable metals from the slurry is invalid. After the operation of extracting valuable metals from the gold cyanide tailings based on the flotation method is completed, new gold cyanide tailings and flotation reagents are added to the slurry or the slurry in the container is replaced.

[0093] The recorded contents in the recording module also include the measured pulp and valuable metal mass stored in the storage unit for completing the extraction benefit analysis, and the pulp image data collected by the collection module.

[0094] Through the above settings, the logic for determining whether the operation of extracting valuable metals from slurry is effective is further limited, and the content recorded in the recording module is further expanded with specific content, making the data recorded in the recording module more comprehensive to meet the subsequent retrieval and reading of historical data by system users.

[0095] In summary, during operation of the system in the above embodiment, on the basis of extracting valuable metals from gold cyanidation tailings based on flotation method, quality parameters of slurry and image data after valuable metals are extracted from slurry are collected, and then the extraction efficiency of the operation of extracting valuable metals from slurry is comprehensively analyzed with the collected data, and the analyzed extraction efficiency is represented in a digital form, so as to ensure the reliability of continuous extraction operation of gold cyanidation tailings based on flotation method, so that the operator no longer relies solely on personal experience to repeatedly extract gold cyanidation tailings, and more effective references are provided to the operator, so as to maintain the stability and reliability of gold cyanidation tailings in the process of extracting valuable metals based on flotation method.

[0096] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A gold cyanide tailings resource comprehensive utilization system, characterized in that: include: The gold cyanide tailings are used to extract valuable metals based on flotation method; Metering module, used to measure the quality of slurry and extracted valuable metals in real time; An acquisition module, used for acquiring slurry image data; The analysis module is used to retrieve the mass of the slurry and the extracted valuable metals measured by the metering module and the slurry image data collected by the acquisition module, and analyze the extraction efficiency of the slurry extraction process of valuable metals based on the retrieved data; A determination module is used to receive the extraction benefit analysis result of the process of extracting valuable metals from the ore pulp in the analysis module, and determine whether the operation of extracting valuable metals from the ore pulp is effective based on the analysis result; A recording module, used to record the determination result of whether the operation of extracting valuable metals from slurry in the determination module is effective; Among them, when gold cyanide tailings are used to extract valuable metals based on flotation method, flotation reagents and water are mixed in a specified ratio, and the resulting mixture is recorded as slurry; The extraction efficiency of the valuable metal extraction process of the slurry in the analysis module is calculated by the following formula: Where: Q is the extraction efficiency of valuable metals from slurry; f is the complexity of slurry image data collected after valuable metals are extracted; g all is the mass of the slurry before the valuable metals are extracted; g0 is the mass of the valuable metals extracted from the slurry; γ is a constant; Among them, the constant γ>0 is used to control the final value of the extraction benefit Q of valuable metals extracted from slurry. Each set of data retrieved by the retrieval unit is based on the above formula to obtain the extraction benefit Q of valuable metals extracted from slurry. The obtained Q is expressed as Q1 and Q2 based on the time series arrangement; The complexity of the slurry image data is calculated by the following formula: Where: f is the complexity of the slurry image data; m is the total number of pixels in the slurry image data; cj is the color richness of the jth group of pixels; D j is the detail density of the jth group of pixels; u is the number of image blocks that the slurry image data is equally divided into when performing complexity calculation; E v is the edge strength of the vth group of image blocks; The color richness of the pixel is represented by the variance of the color channel, and the detail density of the pixel is represented by the grayscale difference between adjacent pixels. When the slurry image data is segmented, the system end user manually decides the number of segmentations.

2. A gold cyanide tailings resource comprehensive utilization system according to claim 1, characterized in that: The collection module is operated after the valuable metals are extracted from the slurry each time. The collection module is internally provided with submodules, including: A light source module, used to illuminate the bottom of the slurry; Among them, the slurry is contained in a transparent container with a stirring function, the light source module is deployed at the bottom of the slurry containing container, and illuminates the slurry contained in the container through the bottom wall of the container. The acquisition module is integrated by a high-speed camera, and the acquisition module is deployed at the top opening position of the slurry containing container to collect slurry image data. The acquisition module and the light source module operate synchronously. Before the acquisition module collects slurry image data each time, the slurry containing equipment continuously stirs the slurry contained inside for a specified time. The stirring time is manually set by the system end user. After the stirring is completed, the acquisition module is triggered to run.

3. A gold cyanide tailings resource comprehensive utilization system according to claim 1, characterized in that: The metering module and the acquisition module are provided with submodules at the lower level, including: A storage unit is used to receive the ore pulp and the valuable metal mass measured in the metering module and the ore pulp image data collected by the acquisition module, and store the ore pulp and the valuable metal mass measured in the metering module and the ore pulp image data collected by the acquisition module; Among them, the slurry and valuable metal mass measured in the metering module and the slurry image data collected by the acquisition module from the same valuable metal extraction operation are bound to each other and stored in the storage unit, and are distinguished and marked based on the start timestamp of the valuable metal extraction operation.

4. A gold cyanide tailings resource comprehensive utilization system according to claim 3, characterized in that: When the slurry image data is performing a storage operation, the slurry image data is optimized synchronously, and after the optimization, the original slurry image data is iterated with the slurry image data obtained by the optimization, and then the storage operation is performed; The optimization processing logic of the slurry image data is expressed as follows: Where: P′ is the pixel value of the optimized image; P is the pixel value of the original image; k1, k2, k3, k4 are adjustment parameters; n is the total number of pixels in the original image; P i is the pixel value of the i-th group of pixels; μ is the mean pixel value of the original image; σ is the standard deviation of the pixel values ​​in the original image; The optimized slurry image data is determined based on the pixel value P′ of the optimized image, and the adjustment parameters k1, k2, k3, and k4 are manually set by the system end user and applied to each slurry image data that performs the optimization process.

5. The gold cyanide tailings resource comprehensive utilization system according to claim 1, characterized in that: The ore pulp measured in the metering module and the mass of the valuable metals extracted, and the ore pulp image data collected by the collection module retrieved in the analysis module are sourced from the storage unit; The analysis module is provided with submodules at the lower level, including: A retrieval unit, used to retrieve the measured slurry and valuable metal quality and slurry image data stored in the storage unit; When retrieving data from the retrieval unit and the storage unit, continuous retrieval is performed based on the data tags, and the retrieved data is the latest stored data corresponding to the two sets of tags.

6. The gold cyanide tailings resource comprehensive utilization system according to claim 1, characterized in that: The judgment logic of whether the operation of extracting valuable metals from slurry in the judgment module is effective is expressed as follows: Where: Q0 is the operational effectiveness judgment value for extracting valuable metals from slurry; Wherein, Q0 is set by the system end user. When both equation (1) and equation (2) are established, it is determined that the operation of extracting valuable metals from the slurry is effective. Otherwise, it is determined that the operation of extracting valuable metals from the slurry is invalid. After the operation of extracting valuable metals from the gold cyanide tailings based on the flotation method is completed, new gold cyanide tailings and flotation reagents are added to the slurry or the slurry in the container is replaced.

7. The gold cyanide tailings resource comprehensive utilization system according to claim 1, characterized in that: The recorded contents in the recording module also include the measured pulp and valuable metal mass stored in the storage unit for completing the extraction benefit analysis, and the pulp image data collected by the collection module.

8. The gold cyanide tailings resource comprehensive utilization system according to claim 1, characterized in that: The metering module is interactively connected to the acquisition module via a local area network, the acquisition module is electrically connected to the light source module via a medium, the metering module and the acquisition module are interactively connected to the storage unit via the local area network, the acquisition module is interactively connected to the analysis module via the local area network, the analysis module is interactively connected to the retrieval unit via the local area network, the retrieval unit is interactively connected to the storage unit via the local area network, and the analysis module is interactively connected to the determination module and the recording module via the local area network.

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