Rare earth mining area water environment quality early warning method and system based on data analysis

Abstract

The invention discloses a rare earth mining area water environment quality early warning method and system based on data analysis, and relates to the technical field of water environment quality analys.The method comprises the steps that operation data of sewage treatment equipment and rare earth magnetic data are collected, and operation abnormity of the sewage treatment equipment under the influence of rare earth magnetism is analyzed; collecting magnetic particle data to analyze the wear rate and the particle adsorption capacity, and analyzing the influence of sewage treatment on the service life of sewage treatment equipment based on the wear rate and the particle adsorption capacity; the water quality condition after treatment of the sewage treatment equipment is predicted based on operation abnormity of the sewage treatment equipment under the influence of rare earth magnetism and the influence of treated sewage on the service life of the sewage treatment equipment, and the water quality treatment effect of the rare earth mining area is analyzed based on a comparison result of the water quality conditions before and after treatment. According to the method, the abnormality and service life influence of the sewage treatment equipment is analyzed according to rare earth magnetism, the actual water quality treatment effect of the sewage treatment equipment is predicted, the potential water quality pollution risk is found, and the accuracy of water quality early warning is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of water environment quality analysis, and more specifically, to a method and system for warning of water environment quality in rare earth mining areas based on data analysis. Background Art

[0002] The mining and processing activities in rare earth mining areas often lead to the deterioration of water environment quality. Especially in the in-situ leaching process of ionic rare earth ores, a large amount of chemical reagents such as ammonium sulfate are used, which causes problems such as water body acidification, heavy metal pollution and nitride pollution. Pollutants migrate through water bodies, destroying the aquatic ecosystem and resulting in a decline in biodiversity. The acidification of soil and water bodies affects vegetation growth and reduces land productivity. Therefore, it is extremely important to warn of the water environment quality in rare earth mining areas.

[0003] In the prior art, the monitoring of water environment quality in rare earth mining areas mostly analyzes the diffusion paths and concentration changes of pollutants (such as heavy metals, ammonia nitrogen) through water quality prediction models, so as to timely discover pollution hot spots. However, the magnetic influence of rare earth itself is not considered, and the abnormalities and lifespan effects of sewage treatment equipment cannot be analyzed based on rare earth magnetism. Therefore, the actual water quality treatment effect of sewage treatment equipment cannot be predicted based on equipment abnormalities and lifespan effects, resulting in a reduction in prediction efficiency.

[0004] For example, in a Chinese patent with the authorization announcement number CN105574342B, a method for warning of water environment quality in a mixed rare earth mining area is disclosed, belonging to the field of warning technology. The method includes Step 1: screening warning indicators for water environment quality in a mixed rare earth mining area; Step 2: using the measured concentration data sequence of warning indicators to establish a pollutant concentration diffusion and migration model, predicting the development trend of pollutant concentration of warning indicators, giving a predicted value and evaluating it; Step 3: determining the warning limit classification and the standard values of warning limits at all levels according to water environment quality standards and rare earth industrial pollutant discharge standards; Step 4: calculating the warning index of each warning indicator at the monitoring point by using the single-index method and the comprehensive index method, and based on the obtained warning index, comparing with the warning limit division standards at different levels, evaluating and judging the warning situation of each warning indicator. The invention combines water quality monitoring with a water quality prediction model in view of the pollution characteristics of the development and production areas of mixed rare earth ores, forming an effective technical method system for warning of water environment quality in mixed rare earth mining areas.

[0005] The above patent has the problems raised in this background art: the prior art lacks consideration of the magnetic influence of rare earth itself, and the abnormalities and lifespan effects of sewage treatment equipment cannot be analyzed based on rare earth magnetism. Therefore, the actual water quality treatment effect of sewage treatment equipment cannot be predicted based on equipment abnormalities and lifespan effects, resulting in a reduction in prediction efficiency.

[0006] In view of the above problems, no effective solution has been proposed yet. Summary of the Invention

[0007] The present invention provides a method and system for early warning of water environment quality in rare earth mining areas based on data analysis, so as to at least solve the technical problems in the prior art that the magnetic influence of rare earth itself is not considered, the abnormality and life influence of sewage treatment equipment cannot be analyzed according to the rare earth magnetism, and thus the actual water quality treatment effect of the sewage treatment equipment cannot be predicted according to the equipment abnormality and life influence, resulting in a reduction in prediction efficiency.

[0008] According to an aspect of the present invention, there is provided a method for early warning of water environment quality in rare earth mining areas based on data analysis, including the following specific steps: S1. Collect the operation data of the sewage treatment equipment and the rare earth magnetic data, and analyze the operation abnormality of the sewage treatment equipment under the influence of rare earth magnetism; S2. Collect the magnetic particle data to analyze the wear rate and particle adsorption amount, and analyze the life influence of the treated sewage on the sewage treatment equipment based on the wear rate and particle adsorption amount; S3. Predict the water quality after treatment of the sewage treatment equipment based on the operation abnormality of the sewage treatment equipment under the influence of rare earth magnetism and the life influence of the treated sewage on the sewage treatment equipment; S4. Analyze the water quality treatment effect in the rare earth mining area based on the comparison result of the water quality before and after treatment.

[0009] Optionally, the S1 includes the following specific steps: S11. Collect the operation data of the sewage treatment equipment, and the operation data of the sewage treatment equipment includes vibration frequency, vibration amplitude and current; S12. Analyze the vibration abnormality of the sewage treatment equipment based on the vibration frequency and vibration amplitude, analyze the current abnormality of the sewage treatment equipment based on the current, and analyze the operation abnormality of the sewage treatment equipment based on the vibration abnormality and current abnormality of the sewage treatment equipment; Optionally, the S12 includes the following specific steps: S121. Analyze the vibration abnormality of the sewage treatment equipment based on the vibration frequency and vibration amplitude; S122. Analyze the current abnormality of the sewage treatment equipment based on the current; S123. Analyze the operation abnormality of the sewage treatment equipment based on the vibration abnormality and current abnormality of the sewage treatment equipment.

[0010] S13. Collect the rare earth magnetic data, and analyze the rare earth magnetic interference based on the rare earth magnetic data; S14. Analyze the comprehensive operation abnormality of the sewage treatment equipment under the influence of rare earth magnetism based on the operation abnormality of the sewage treatment equipment and the rare earth magnetic interference.

[0011] Optionally, the S2 includes the following specific steps: S21. Collect magnetic particle data, where the magnetic particle data includes magnetic particle shape, the concentration of magnetic particles in sewage, magnetic particle hardness, and particle magnetic susceptibility; S22. Analyze the wear rate based on the magnetic particle shape, the concentration of magnetic particles in sewage, and magnetic particle hardness; S23. Analyze the particle adsorption amount based on the particle magnetic susceptibility; S24. Analyze the actual lifespan of the sewage treatment equipment under the influence of sewage treatment based on the wear rate and the particle adsorption amount.

[0012] Optionally, the S3 includes the following specific steps: Predict the water quality after the sewage treatment equipment processes sewage based on the comprehensive operation anomalies of the sewage treatment equipment under the influence of rare earth magnetism and the actual lifespan prediction of the sewage treatment equipment under the influence of sewage treatment.

[0013] Optionally, the S4 includes the following specific steps: Obtain the water quality treatment efficiency by subtracting the water quality after treatment from the water quality before treatment and then dividing by the water quality before treatment, compare the water quality treatment efficiency with the set target water quality treatment efficiency. If the water quality treatment efficiency is greater than or equal to the target water quality treatment efficiency, it is determined that the water environment quality of the rare earth mining area meets the standard. If the water quality treatment efficiency is less than the target water quality treatment efficiency, it is determined that the water environment quality of the rare earth mining area does not meet the standard and a quality warning is issued.

[0014] According to another aspect of the present invention, there is provided a water environment quality warning system for rare earth mining areas based on data analysis, including: An operation anomaly analysis module, configured to collect the operation data of the sewage treatment equipment and rare earth magnetic data, and analyze the operation anomalies of the sewage treatment equipment under the influence of rare earth magnetism; A service life analysis module, configured to collect magnetic particle data to analyze the wear rate and the particle adsorption amount, and analyze the influence of sewage treatment on the service life of the sewage treatment equipment based on the wear rate and the particle adsorption amount; A water quality treatment prediction module, configured to predict the water quality situation after the sewage treatment equipment processes sewage based on the operation anomalies of the sewage treatment equipment under the influence of rare earth magnetism and the influence of sewage treatment on the service life of the sewage treatment equipment; A treatment effect analysis module, configured to analyze the water quality treatment effect of the rare earth mining area based on the comparison result of the water quality before and after treatment.

[0015] According to another aspect of the present invention, there is provided a computer-readable storage medium, in which a computer program is stored. Wherein, the computer program is configured to execute the above-mentioned water environment quality warning method for rare earth mining areas based on data analysis when running.

[0016] According to another aspect of the present invention, there is provided a computer program product or a computer program, which includes computer instructions stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the above-mentioned rare earth mining area water environment quality early warning method based on data analysis.

[0017] According to another aspect of the present invention, there is provided an electronic device, including a memory and a processor. A computer program is stored in the memory, and the processor is configured to execute the above-mentioned rare earth mining area water environment quality early warning method based on data analysis through the computer program.

[0018] Compared with the prior art, the beneficial effects of the present invention are as follows: collecting the operation data of sewage treatment equipment and rare earth magnetic data, analyzing the abnormal operation of sewage treatment equipment under the influence of rare earth magnetism, collecting magnetic particle data to analyze the wear rate and particle adsorption amount, analyzing the influence of treated sewage on the service life of sewage treatment equipment based on the wear rate and particle adsorption amount, predicting the water quality of the treated sewage by the sewage treatment equipment based on the abnormal operation of the sewage treatment equipment under the influence of rare earth magnetism and the influence of treated sewage on the service life of the sewage treatment equipment, and analyzing the water quality treatment effect of the rare earth mining area based on the comparison result of the water quality before and after treatment. The present invention analyzes the abnormality and life influence of sewage treatment equipment according to rare earth magnetism, predicts the actual water quality treatment effect of sewage treatment equipment, discovers potential water pollution risks, and helps to improve the accuracy of water quality early warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present invention, and constitute a part of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention, and do not constitute an improper limitation to the present invention. In the drawings: Figure 1 It is a schematic flow chart of the rare earth mining area water environment quality early warning method based on data analysis of the present invention; Figure 2 It is a schematic diagram of the process S1 of the rare earth mining area water environment quality early warning method based on data analysis of the present invention; Figure 3 It is a schematic diagram of the process S12 of the rare earth mining area water environment quality early warning method based on data analysis of the present invention; Figure 4 It is a schematic diagram of the process S2 of the rare earth mining area water environment quality early warning method based on data analysis of the present invention; Figure 5 It is a schematic diagram of the overall framework of the rare earth mining area water environment quality early warning system based on data analysis of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0020] To enable those skilled in the art to better understand the solution of the present invention, the following will clearly and completely describe the technical solution in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the scope of protection of the present invention.

[0021] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned accompanying drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described here can be implemented in an order other than those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0022] The present invention will be described below with reference to embodiments: Please refer to Figure 1 , Figure 1 which is a schematic flow diagram of the method for warning the water environment quality of rare earth mining areas based on data analysis according to the present invention; According to one aspect of the embodiments of the present invention, the present invention provides a method for warning the water environment quality of rare earth mining areas based on data analysis, which includes the following specific steps: Please refer to Figure 2 , Figure 2 which is a schematic diagram of the flow S1 of the method for warning the water environment quality of rare earth mining areas based on data analysis according to the present invention; S1. Collect the operation data of the sewage treatment equipment and the rare earth magnetic data, and analyze the operation anomalies of the sewage treatment equipment under the influence of rare earth magnetism; In this embodiment, S1 includes the following specific steps: S11. Collect the operation data of the sewage treatment equipment. The operation data of the sewage treatment equipment includes vibration frequency, vibration amplitude and current. The strong magnetic field in the rare earth mining area will change the vibration characteristics of the sewage treatment equipment, resulting in a change in the resonance frequency. The enhanced vibration will accelerate the wear of the equipment components, thus shortening the service life of the equipment. The strong magnetic field in the rare earth mining area will interfere with the current distribution inside the motor, resulting in current fluctuations. The current sensor in the sewage treatment equipment will also have measurement errors due to magnetic field interference, affecting the precise control of the equipment; S12. Analyze the abnormal vibration of the sewage treatment equipment based on the vibration frequency and amplitude, analyze the abnormal current of the sewage treatment equipment based on the current, and analyze the abnormal operation of the sewage treatment equipment based on the abnormal vibration and abnormal current of the sewage treatment equipment; S13. Collect rare earth magnetic data. The rare earth mining area is likely to generate electromagnetic interference to the sewage treatment equipment because the rocks and ores in the rare earth mining area may contain highly magnetic rare earth elements (such as neodymium, dysprosium, etc.), resulting in a significantly higher local magnetic field intensity than the ordinary environment. Moreover, the mining, transportation, and processing equipment in the mining area may generate complex electromagnetic interference, further affecting the operation of the surrounding equipment. The components such as sensors, motors, and control modules in the sewage treatment equipment are relatively sensitive to electromagnetic interference and are easily affected by magnetic field fluctuations. Analyze the rare earth magnetic interference based on the rare earth magnetic data. Among them, the rare earth magnetic interference can be obtained through the following calculation formula: , where is the rare earth magnetic interference value, is the rare earth magnetic field intensity, is the safety value of the magnetic field intensity for the operation of the sewage treatment equipment; S14. Analyze the comprehensive abnormal operation of the sewage treatment equipment under the influence of rare earth magnetism based on the abnormal operation of the sewage treatment equipment and the rare earth magnetic interference. Among them, the comprehensive abnormal operation of the sewage treatment equipment under the influence of rare earth magnetism can be obtained through the following calculation formula: , where is the comprehensive abnormal operation value of the sewage treatment equipment under the influence of rare earth magnetism, is the rare earth magnetic influence weight, is the exponential function with the real number e as the base.

[0023] Please refer to Figure 3 , Figure 3 which is the schematic diagram of the process S12 of the early warning method for the water environment quality in the rare earth mining area based on data analysis of the present invention; In this embodiment, S12 includes the following specific steps: S121. Analyze the abnormal vibration of the sewage treatment equipment based on the vibration frequency and amplitude. Among them, the abnormal vibration of the sewage treatment equipment can be obtained through the following calculation formula: , where is the abnormal vibration value of the sewage treatment equipment, is the data acquisition duration of the sewage treatment equipment, is the time integral, is the vibration amplitude at time t, is the safe vibration amplitude, is the vibration frequency at time t, is the safe vibration frequency; S122. Analyze the abnormal current of the sewage treatment equipment based on current analysis. Among them, the abnormal current of the sewage treatment equipment can be obtained through the following calculation formula: , where is the abnormal current value of the sewage treatment equipment, is the current at time t, is the rated current; S123. Analyze the abnormal operation of the sewage treatment equipment based on the abnormal vibration and abnormal current of the sewage treatment equipment. Among them, the abnormal operation of the sewage treatment equipment can be obtained through the following calculation formula: , where is the abnormal operation value of the sewage treatment equipment.

[0024] In this embodiment, the calculation of the abnormal equipment operation is carried out by real-time monitoring of mechanical faults such as bearing wear, impeller imbalance, and shaft misalignment, and real-time detection of load mutations. For example, the impeller blockage causes an increase in current. Combining the analysis of abnormal vibration and abnormal current can distinguish: pure mechanical faults (the vibration becomes larger but the current is normal), electrical faults (the current harmonic distortion is normal but the vibration is normal), and compound faults (such as magnetic particle adsorption causing the vibration to become larger and the current to fluctuate).

[0025] Please refer to Figure 4 , Figure 4 is the schematic diagram of the process S2 of the water environment quality early warning method for rare earth mining areas based on data analysis of the present invention; S2. Collect magnetic particle data to analyze the wear rate and particle adsorption amount, and analyze the influence of sewage treatment on the service life of the sewage treatment equipment based on the wear rate and particle adsorption amount; In this embodiment, S2 includes the following specific steps: Rare earth minerals (such as neodymium, gadolinium, etc.) often exist in sewage in the form of tiny magnetic particles. When flowing at high speed, they cause abrasion to the inner walls of the equipment (pumps, pipes, valves). Magnetic particles are prone to agglomeration, forming hard abrasive particles, which exacerbate friction loss; S21. Collect magnetic particle data, and the magnetic particle data includes magnetic particle shape, magnetic particle concentration in sewage, magnetic particle hardness, and particle magnetic susceptibility; S22. Analyze the wear rate based on the magnetic particle shape, magnetic particle concentration in sewage, and magnetic particle hardness. Among them, the wear rate can be obtained through the following calculation formula: , where is the wear rate, is the magnetic particle hardness. For example, the Mohs hardness of Nd2O3 is 7, is the designed hardness of the sewage treatment equipment, is the magnetic particle concentration in sewage. Install a laser particle size analyzer at the sewage inlet to real-time monitor the particle size distribution and concentration, with an accuracy of ±0.1% and a sampling frequency of ≥1 Hz, is the average concentration of magnetic particles in the water flow, is the sewage flow rate, which is monitored by installing an ultrasonic flowmeter at the straight pipe section of the pump outlet (distance from the elbow ≥ 10 times the pipe diameter), is the influence weight of the magnetic particle shape. The high-frequency acoustic wave signals of the particles hitting the equipment wall are collected using an acoustic emission sensor, and a machine learning model of the acoustic signal spectrum (FFT analysis) and laboratory hardness / shape data is established to inversely deduce the hardness and shape characteristics, distinguish sharp particles and spherical particles. In this embodiment, the sharp particle value is 1.5, and the spherical particle value is 1.0; S23. Analyze the particle adsorption amount based on the particle magnetic susceptibility. Among them, the particle adsorption amount can be obtained through the following calculation formula: , where, is the particle adsorption amount, is the particle magnetic susceptibility. For example, NdFeB is 1.2×10 -3 , is the surface magnetic field strength of the sewage treatment equipment. A Hall effect sensor is installed at the inner wall of the pump casing and other areas with serious adsorption to measure the magnetic field strength B in real time, with a range of ±1T and an accuracy of ±0.5%, is the particle density. A nuclear density meter is installed at the outlet of the main sewage pipe or sedimentation tank to penetrate the sewage with γ rays, and the particle density is inversely calculated through the attenuation rate. For example, Nd2O3 is about 7.2×10 3 kg / m³, is the thickness of the particle adsorption layer. A laser sensor is installed at the outlet of the magnetic separator or the inner wall of the pump casing to scan the thickness of the adsorption layer in real time, is the vacuum permeability, with a value of 4π×10 -7 T·m / A, is the acceleration due to gravity, with a value of 9.81m / s²; The magnetic particles are adsorbed on the rotating parts (such as the pump shaft and agitator blades), causing vibration, accelerating the fatigue failure of bearings and seals, increasing the motor load, and shortening the motor life during long-term overload operation. For every 10% increase in adsorption, the bearing life may decrease by 30% - 50%.

[0026] S24. Analyze the actual life of the sewage treatment equipment under the influence of sewage treatment based on the wear rate and particle adsorption amount. Among them, the actual life of the sewage treatment equipment under the influence of sewage treatment can be obtained through the following calculation formula: , where, is the actual life of the sewage treatment equipment, is the design life of the sewage treatment equipment, is the design allowable wear rate, is the design allowable adsorption amount. Equipment aging leads to a decrease in filtration efficiency, seal failure, and an increase in pollutant leakage.

[0027] In this embodiment, the calculation of service life can reflect the effects of mechanical wear (such as thinning of the pump casing and corrosion of the impeller) and magnetic particle blockage (such as a decrease in the porosity of the filter screen) on the sewage treatment equipment. When the sewage concentration suddenly increases or the magnetic field strength rises, this calculation formula can dynamically update the life prediction, while the fixed life model cannot accurately capture such risks.

[0028] In an exemplary embodiment, a sewage treatment plant in a rare earth mining area originally used a 316L stainless steel centrifugal pump with a designed life of 6 months. The sewage contains NdFeB powder (magnetic susceptibility χ = 1.2×10 -3 , with a concentration of 500 ppm). The weight of the impeller increased by 15% due to adsorbed particles, resulting in the bearing being replaced every 2 months.

[0029] S3. Predict the water quality of the treated sewage based on the abnormal operation of the sewage treatment equipment under the influence of rare earth magnetism and the influence of sewage treatment on the service life of the sewage treatment equipment; In this embodiment, S3 includes the following specific steps: Predict the water quality of the treated sewage based on the comprehensive abnormal operation of the sewage treatment equipment under the influence of rare earth magnetism and the actual service life of the sewage treatment equipment under the influence of sewage treatment. Among them, the water quality of the treated sewage can be obtained through the following calculation formula: , where is the water quality of the treated sewage, is the designed standard effluent water quality when the equipment is newly put into operation, is the weight of the abnormal operation influence, is the maximum allowable abnormal threshold of the sewage treatment equipment, is the weight of the service life influence, .

[0030] In this embodiment, the prediction of water quality simultaneously integrates abnormal factors such as wear, adsorption, and vibration, quantifies the equipment aging effect, captures hidden degradations such as a decrease in sealing performance and a reduction in filtration efficiency, directly reflects the combined impact of equipment performance degradation on water quality, and avoids the one-sidedness of a single indicator.

[0031] In an exemplary embodiment, the method for obtaining the set weights in this embodiment is obtained through experiments by those skilled in the art. The specific experimental method is as follows: Collect the operation data of multiple historical sewage treatment equipment and rare earth magnetic data, substitute them into the steps in this embodiment to predict the water quality of the treated sewage, and at the same time obtain the historical actual water quality treatment situation. Import the predicted water quality situation and the historical actual water quality treatment situation into the fitting software for continuous fitting to obtain the value of the set weights with the highest similarity.

[0032] S4. Analyze the water quality treatment effect in the rare earth mining area based on the comparison results of the water quality before and after treatment.

[0033] In this embodiment, S4 includes the following specific steps: Obtain the water quality treatment efficiency by subtracting the water quality after treatment from the water quality before treatment and then dividing by the water quality before treatment, and compare the water quality treatment efficiency with the set target water quality treatment efficiency. Among them, the set target water quality treatment efficiency is obtained from the management regulations set by the rare earth mining area management department. If the water quality treatment efficiency is greater than or equal to the target water quality treatment efficiency, it is determined that the water environment quality of the rare earth mining area meets the standard. If the water quality treatment efficiency is less than the target water quality treatment efficiency, it is determined that the water environment quality of the rare earth mining area does not meet the standard and a quality warning is issued.

[0034] Please refer to Figure 5 , Figure 5 which is a schematic diagram of the overall framework of the water environment quality warning system for rare earth mining areas based on data analysis according to the present invention; According to another aspect of the embodiments of the present invention, there is provided a water environment quality warning system for rare earth mining areas based on data analysis, including: An operation anomaly analysis module for collecting operation data of sewage treatment equipment and rare earth magnetic data, and analyzing the operation anomalies of the sewage treatment equipment under the influence of rare earth magnetism; A service life analysis module for collecting magnetic particle data to analyze the wear rate and particle adsorption amount, and analyzing the influence of treating sewage on the service life of the sewage treatment equipment based on the wear rate and particle adsorption amount; A water quality treatment prediction module for predicting the water quality situation after the sewage treatment equipment based on the operation anomalies of the sewage treatment equipment under the influence of rare earth magnetism and the influence of treating sewage on the service life of the sewage treatment equipment; A treatment effect analysis module for analyzing the water quality treatment effect of the rare earth mining area based on the comparison result of the water quality before and after treatment.

[0035] According to another aspect of the embodiments of the present invention, there is provided a computer-readable storage medium storing a computer program, wherein the computer program is configured to execute the above-mentioned water environment quality warning method for rare earth mining areas based on data analysis when running.

[0036] According to another aspect of the embodiments of the present invention, there is provided a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the above-mentioned water environment quality warning method for rare earth mining areas based on data analysis.

[0037] According to another aspect of the embodiments of the present invention, an electronic device is provided, including a memory and a processor. A computer program is stored in the memory, and the processor is configured to execute the following steps of the rare earth mining area water environment quality early warning method based on data analysis through the computer program: collect the operation data of the sewage treatment equipment and the rare earth magnetic data, analyze the abnormal operation of the sewage treatment equipment under the influence of rare earth magnetism, collect the magnetic particle data to analyze the wear rate and the particle adsorption amount, analyze the influence of the treated sewage on the service life of the sewage treatment equipment based on the wear rate and the particle adsorption amount, predict the water quality of the sewage treatment equipment after treatment based on the abnormal operation of the sewage treatment equipment under the influence of rare earth magnetism and the influence of the treated sewage on the service life of the sewage treatment equipment, and analyze the water quality treatment effect in the rare earth mining area based on the comparison result of the water quality before and after treatment.

[0038] In addition, the above electronic device further includes: a display for displaying the water environment quality image; a connection bus for connecting each module component in the above electronic device.

[0039] In this embodiment, those of ordinary skill in the art can understand that all or part of the steps in the above various methods can be completed by instructing the relevant hardware of the terminal device through a program. The program can be stored in a computer-readable storage medium, and the storage medium can include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disc, etc.

[0040] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above processes does not mean the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0041] In the above embodiments of the present invention, the descriptions of the various embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0042] In several embodiments provided by the present invention, it should be understood that the disclosed application program can be implemented in other ways. Among them, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point, the displayed or discussed mutual coupling or direct coupling or communication connection can be through some interfaces, and the indirect coupling or communication connection of the units or modules can be in an electrical or other form.

[0043] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or may be distributed over multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0044] In addition, each functional unit in various embodiments of the present invention may be integrated in a processing unit, may also exist separately as individual physical units, or two or more units may be integrated in one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of a software functional unit.

[0045] The above are only the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can still be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A method for early warning of water environment quality in rare earth mining areas based on data analysis, characterized in that, It includes the following specific steps: S1. Collect the operation data of the sewage treatment equipment and the rare earth magnetic data, and analyze the operation anomalies of the sewage treatment equipment under the influence of rare earth magnetism; S2. Collect the magnetic particle data to analyze the wear rate and the particle adsorption amount, and analyze the influence of the treated sewage on the service life of the sewage treatment equipment based on the wear rate and the particle adsorption amount; S3. Predict the water quality of the treated sewage by the sewage treatment equipment based on the operation anomalies of the sewage treatment equipment under the influence of rare earth magnetism and the influence of the treated sewage on the service life of the sewage treatment equipment; S4. Analyze the water quality treatment effect of the rare earth mining area based on the comparison result of the water quality before and after treatment.

2. The method for warning of water environment quality in rare earth mining areas based on data analysis according to claim 1, wherein, The S1 includes the following specific steps: S11. Collect the operation data of the sewage treatment equipment, and the operation data of the sewage treatment equipment includes vibration frequency, vibration amplitude and current; S12. Analyze the vibration anomalies of the sewage treatment equipment based on the vibration frequency and vibration amplitude, analyze the current anomalies of the sewage treatment equipment based on the current, and analyze the operation anomalies of the sewage treatment equipment based on the vibration anomalies and current anomalies of the sewage treatment equipment; S13. Collect the rare earth magnetic data and analyze the rare earth magnetic interference based on the rare earth magnetic data; S14. Analyze the comprehensive operation anomalies of the sewage treatment equipment under the influence of rare earth magnetism based on the operation anomalies of the sewage treatment equipment and the rare earth magnetic interference.

3. The method for warning of water environment quality in rare earth mining areas based on data analysis according to claim 2, wherein, The S12 includes the following specific steps: S121. Analyze the vibration anomalies of the sewage treatment equipment based on the vibration frequency and vibration amplitude; S122. Analyze the current anomalies of the sewage treatment equipment based on the current; S123. Analyze the operation anomalies of the sewage treatment equipment based on the vibration anomalies and current anomalies of the sewage treatment equipment.

4. The method for warning of water environment quality in rare earth mining areas based on data analysis according to claim 3, wherein, The S2 includes the following specific steps: S21. Collect the magnetic particle data, and the magnetic particle data includes the magnetic particle shape, the concentration of magnetic particles in the sewage, the hardness of magnetic particles and the particle magnetic susceptibility; S22. Analyze the wear rate based on the magnetic particle shape, the concentration of magnetic particles in the sewage and the hardness of magnetic particles; S23. Analyze the particle adsorption amount based on the particle magnetic susceptibility; S24. Analyze the actual service life of the sewage treatment equipment under the influence of sewage treatment based on the wear rate and the particle adsorption amount.

5. The method for warning of water environment quality in rare earth mining areas based on data analysis according to claim 4, wherein, The S3 includes the following specific steps: Predict the water quality of the treated sewage by the sewage treatment equipment based on the comprehensive operation anomalies of the sewage treatment equipment under the influence of rare earth magnetism and the actual service life of the sewage treatment equipment under the influence of sewage treatment.

6. The method for warning of water environment quality in rare earth mining areas based on data analysis according to claim 5, characterized in that, The S4 includes the following specific steps: Obtain the water quality treatment efficiency by subtracting the water quality after treatment from the water quality before treatment and then dividing by the water quality before treatment, compare the water quality treatment efficiency with the set target water quality treatment efficiency. If the water quality treatment efficiency is greater than or equal to the target water quality treatment efficiency, it is judged that the water environment quality of the rare earth mining area meets the standard. If the water quality treatment efficiency is less than the target water quality treatment efficiency, it is judged that the water environment quality of the rare earth mining area does not meet the standard and a quality warning is issued.

7. A water environment quality early warning system for rare earth mining areas based on data analysis, which is used to implement the water environment quality early warning method for rare earth mining areas based on data analysis as described in any one of claims 1 to 6, characterized in that It includes: An operation anomaly analysis module, which is used to collect the operation data of the sewage treatment equipment and the rare earth magnetic data, and analyze the operation anomalies of the sewage treatment equipment under the influence of rare earth magnetism; A service life analysis module, configured to collect magnetic particle data to analyze the wear rate and particle adsorption amount, and analyze the influence of the sewage on the service life of the sewage treatment equipment based on the wear rate and particle adsorption amount; A water quality treatment prediction module, configured to predict the water quality of the sewage treatment equipment after treatment based on the abnormal operation of the sewage treatment equipment under the influence of rare earth magnetism and the influence of the treated sewage on the service life of the sewage treatment equipment; A treatment effect analysis module, configured to analyze the water quality treatment effect of the rare earth mining area based on the comparison result of the water quality before and after treatment.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored computer program, wherein the computer program, when being run by an electronic device, executes the method for warning the water environment quality of the rare earth mining area based on data analysis according to any one of claims 1 to 6.

9. A computer program product, comprising a computer program, characterized in that, When being executed by a processor, the computer program implements the method for warning the water environment quality of the rare earth mining area based on data analysis according to any one of claims 1 to 6.

10. An electronic device, comprising a memory and a processor, characterized in that, A computer program is stored in the memory, and the processor is configured to execute the method for warning the water environment quality of the rare earth mining area based on data analysis according to any one of claims 1 to 6 through the computer program.

Images