Water environment quality early warning method and system in rare earth mining areas based on data analysis

Abstract

The present invention discloses a water environment quality early warning method and system for rare earth mining areas based on data analysis, and relates to the technical field of water environment quality analysis. The method comprises: collecting operation data of sewage treatment equipment and rare earth magnetic data, analyzing operation anomalies of the sewage treatment equipment under the influence of rare earth magnetism, collecting magnetic particle data to analyze wear rate and particle adsorption amount, analyzing the impact of treated sewage on the life of the sewage treatment equipment based on the wear rate and particle adsorption amount, predicting the water quality after treatment by the sewage treatment equipment based on the operation anomalies of the sewage treatment equipment under the influence of rare earth magnetism and the impact of treated sewage on the life of the sewage treatment equipment, and analyzing the water quality treatment effect of the rare earth mining area based on the comparison results of the water quality before and after treatment. The present invention analyzes the abnormality and life impact of the sewage treatment equipment according to the rare earth magnetism, predicts the actual water quality treatment effect of the sewage treatment equipment, discovers potential water pollution risks, and helps to improve the accuracy of water quality early warning.

Description

Technical Field

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

[0002] Mining and processing activities in rare earth mining areas often lead to deterioration of water environment quality, especially in the in-situ leaching process of ionic rare earth ores, where large amounts of chemical reagents such as ammonium sulfate are used, causing problems such as water acidification, heavy metal pollution, and nitrogen compound pollution. Pollutants migrate through water bodies, destroying aquatic ecosystems and leading to a decline in biodiversity. Soil and water acidification affects vegetation growth and reduces land productivity. Therefore, it is extremely important to provide early warning of water environment quality in rare earth mining areas.

[0003] Existing technologies for monitoring water environment quality in rare earth mining areas mostly use water quality prediction models to analyze the diffusion paths and concentration changes of pollutants (such as heavy metals and ammonia nitrogen) to promptly identify pollution hotspots. However, these technologies fail to consider the magnetic influence of rare earths themselves, making it impossible to analyze abnormalities and lifespan of sewage treatment equipment based on rare earth magnetism. Consequently, they are unable to predict the actual water quality treatment effect of sewage treatment equipment based on equipment abnormalities and lifespan, resulting in reduced prediction efficiency.

[0004] For example, Chinese patent application CN105574342B discloses a water environment quality early warning method for mixed rare earth mining areas. This method, which belongs to the field of early warning technology, includes the following steps: 1: screening early warning indicators for mixed rare earth mining areas; 2: using the measured concentration data series of the early warning indicators to establish a pollutant concentration diffusion and migration model, predicting the development trend of the pollutant concentration of the early warning indicators, providing predicted values, and evaluating them; 3: determining the early warning limit classification and the standard values ​​of each level of warning limit based on water environment quality standards and rare earth industry pollutant emission standards; and 4: calculating the early warning index of each early warning indicator at the monitoring point using a single indicator method and a comprehensive index method. Based on the obtained early warning index, the warning level of each early warning indicator is evaluated and judged in accordance with the classification standards of different warning limits. This invention targets the pollution characteristics of mixed rare earth mining development and production areas, combines water quality monitoring with water quality prediction models, and forms an effective early warning technology method system for water environment quality in mixed rare earth mining areas.

[0005] The above patent has the problem raised by this background technology: the existing technology lacks consideration of the magnetic influence of rare earths themselves, and is unable to analyze the abnormalities and life impact of sewage treatment equipment based on the magnetism of rare earths, and thus is unable to predict the actual water quality treatment effect of sewage treatment equipment based on equipment abnormalities and life impact, resulting in reduced prediction efficiency.

[0006] To address the above issues, no effective solutions have been proposed so far. Summary of the Invention

[0007] The present invention proposes a rare earth mining area water environment quality early warning method and system based on data analysis, so as to at least solve the technical problem that the existing technology lacks consideration of the magnetic influence of rare earth itself, cannot analyze the abnormality and life impact of sewage treatment equipment based on rare earth magnetism, and thus cannot predict the actual water quality treatment effect of sewage treatment equipment based on equipment abnormality and life impact, resulting in reduced prediction efficiency.

[0008] According to one aspect of the present invention, a method for early warning of water environment quality in rare earth mining areas based on data analysis is provided, comprising the following specific steps:

[0009] S1. Collect the operation data of sewage treatment equipment and rare earth magnetism data, and analyze the abnormal operation of sewage treatment equipment under the influence of rare earth magnetism;

[0010] S2. Collect magnetic particle data to analyze wear rate and particle adsorption capacity, and analyze the impact of sewage treatment on the life of sewage treatment equipment based on the wear rate and particle adsorption capacity;

[0011] S3. Predict the water quality after treatment by the sewage treatment equipment based on the abnormal operation of the sewage treatment equipment under the influence of rare earth magnetism and the impact of treated sewage on the life of the sewage treatment equipment;

[0012] S4. Analyze the water quality treatment effect in rare earth mining areas based on the comparison results of water quality before and after treatment.

[0013] Optionally, S1 includes the following specific steps:

[0014] S11, collecting sewage treatment equipment operating data, wherein the sewage treatment equipment operating data includes vibration frequency, vibration amplitude and current;

[0015] S12. Analyze abnormal vibration of the sewage treatment equipment based on the vibration frequency and vibration amplitude, analyze abnormal current of the sewage treatment equipment based on the current, and analyze abnormal operation of the sewage treatment equipment based on abnormal vibration and abnormal current of the sewage treatment equipment;

[0016] Optionally, the S12 includes the following specific steps:

[0017] S121. Analyze abnormal vibration of sewage treatment equipment based on vibration frequency and vibration amplitude;

[0018] S122. Analyze the abnormal current of the sewage treatment equipment based on the current;

[0019] S123. Analyze the abnormal operation of the sewage treatment equipment based on the abnormal vibration and abnormal current of the sewage treatment equipment.

[0020] S13, collecting rare earth magnetic data, and analyzing rare earth magnetic interference based on the rare earth magnetic data;

[0021] S14. Analyze the comprehensive operational anomalies of sewage treatment equipment under the influence of rare earth magnetism based on the operational anomalies of sewage treatment equipment and rare earth magnetic interference.

[0022] Optionally, S2 includes the following specific steps:

[0023] S21, collecting magnetic particle data, wherein the magnetic particle data includes magnetic particle shape, magnetic particle concentration in sewage, magnetic particle hardness and particle magnetic susceptibility;

[0024] S22, analyzing the wear rate based on the shape of magnetic particles, the concentration of magnetic particles in wastewater, and the hardness of magnetic particles;

[0025] S23, analyzing the particle adsorption amount based on the particle magnetic susceptibility;

[0026] S24. Analyze the actual life of sewage treatment equipment under the influence of sewage treatment based on wear rate and particle adsorption amount.

[0027] Optionally, S3 includes the following specific steps:

[0028] The water quality after treatment by sewage treatment equipment is predicted based on the comprehensive operational anomalies of sewage treatment equipment under the influence of rare earth magnetism and the actual service life of sewage treatment equipment under the influence of sewage treatment.

[0029] Optionally, S4 includes the following specific steps:

[0030] The water quality treatment efficiency is obtained by subtracting the water quality after treatment from the water quality before treatment and then dividing the result by the water quality before treatment. The water quality treatment efficiency is compared 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.

[0031] According to another aspect of the present invention, a rare earth mining area water environment quality early warning system based on data analysis is provided, comprising:

[0032] Operation abnormality analysis module, used to collect sewage treatment equipment operation data and rare earth magnetism data, and analyze the operation abnormalities of sewage treatment equipment under the influence of rare earth magnetism;

[0033] The service life analysis module is used to collect magnetic particle data to analyze the wear rate and particle adsorption amount, and analyze the impact of sewage treatment on the service life of sewage treatment equipment based on the wear rate and particle adsorption amount;

[0034] The water quality treatment prediction module is used to predict the water quality after treatment by the sewage treatment equipment based on the abnormal operation of the sewage treatment equipment under the influence of rare earth magnetism and the impact of treated sewage on the life of the sewage treatment equipment;

[0035] The treatment effect analysis module is used to 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.

[0036] According to another aspect of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned rare earth mining area water environment quality early warning method based on data analysis when running.

[0037] According to another aspect of the present invention, a computer program product or computer program is provided, which includes computer instructions, which are stored in a computer-readable storage medium. A processor of a 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.

[0038] According to another aspect of the present invention, an electronic device is provided, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the rare earth mining area water environment quality early warning method based on data analysis through the computer program.

[0039] Compared with the prior art, the beneficial effects of the present invention are: collecting sewage treatment equipment operation data and rare earth magnetic data, analyzing the operation anomalies of the 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 impact of treated sewage on the life of the sewage treatment equipment based on the wear rate and particle adsorption amount, predicting the water quality after treatment by the sewage treatment equipment based on the operation anomalies of the sewage treatment equipment under the influence of rare earth magnetism and the impact of treated sewage on the life of the sewage treatment equipment, analyzing the water quality treatment effect of the rare earth mining area based on the comparison results of the water quality before and after treatment, the present invention analyzes the anomalies and life impact of the sewage treatment equipment according to rare earth magnetism, predicts the actual water quality treatment effect of the sewage treatment equipment, discovers potential water pollution risks, and helps to improve the accuracy of water quality early warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0041] Figure 1This is a flow chart of a method for early warning of water environment quality in rare earth mining areas based on data analysis according to the present invention;

[0042] Figure 2 Schematic diagram of process S1 of the rare earth mining area water environment quality early warning method based on data analysis of the present invention;

[0043] Figure 3 Schematic diagram of process S12 of the rare earth mining area water environment quality early warning method based on data analysis of the present invention;

[0044] Figure 4 Schematic diagram of process S2 of the rare earth mining area water environment quality early warning method based on data analysis of the present invention;

[0045] Figure 5 This 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

[0046] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions 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 only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work should fall within the scope of protection of the present invention.

[0047] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0048] The present invention will be described below in conjunction with embodiments:

[0049] See also Figure 1 , Figure 1 This is a flow chart of a method for early warning of water environment quality in rare earth mining areas based on data analysis according to the present invention;

[0050] According to one aspect of an embodiment of the present invention, the present invention provides a method for early warning of water environment quality in rare earth mining areas based on data analysis, which includes the following specific steps:

[0051] See also Figure 2 , Figure 2 Schematic diagram of process S1 of the rare earth mining area water environment quality early warning method based on data analysis of the present invention;

[0052] S1. Collect the operation data of sewage treatment equipment and rare earth magnetism data, and analyze the abnormal operation of sewage treatment equipment under the influence of rare earth magnetism;

[0053] In this embodiment, S1 includes the following specific steps:

[0054] S11. Collecting operating data of the sewage treatment equipment, including vibration frequency, vibration amplitude, and current. The strong magnetic field in the rare earth mining area can change the vibration characteristics of the sewage treatment equipment, causing changes in the resonant frequency. Increased vibration can accelerate the wear of equipment components, thereby shortening the service life of the equipment. The strong magnetic field in the rare earth mining area can interfere with the current distribution inside the motor, causing current fluctuations. The current sensor in the sewage treatment equipment can also cause measurement errors due to magnetic field interference, affecting the precise control of the equipment.

[0055] S12. Analyze abnormal vibration of the sewage treatment equipment based on the vibration frequency and vibration amplitude, analyze abnormal current of the sewage treatment equipment based on the current, and analyze abnormal operation of the sewage treatment equipment based on abnormal vibration and abnormal current of the sewage treatment equipment;

[0056] S13. Collect rare earth magnetic data. Rare earth mining areas are prone to electromagnetic interference to sewage treatment equipment because the rocks and ores in rare earth mining areas may contain highly magnetic rare earth elements (such as neodymium and dysprosium), resulting in local magnetic field strength significantly higher than that in ordinary environments. In addition, the mining, transportation and processing equipment in the mining area may generate complex electromagnetic interference, further affecting the operation of surrounding equipment. Sensors, motors, control modules and other components in sewage treatment equipment are more sensitive to electromagnetic interference and are easily affected by magnetic field fluctuations. Rare earth magnetic interference is analyzed based on rare earth magnetic data. The rare earth magnetic interference can be obtained using the following calculation formula: ,in, is the rare earth magnetic interference value, is the rare earth magnetic field strength, The safety value of magnetic field strength for the operation of sewage treatment equipment;

[0057] S14. Analyze the comprehensive operational abnormality of the sewage treatment equipment under the influence of rare earth magnetism based on the operational abnormality of the sewage treatment equipment and the interference of rare earth magnetism. The comprehensive operational abnormality of the sewage treatment equipment under the influence of rare earth magnetism can be obtained by the following calculation formula: ,in, is the comprehensive operational abnormal value of sewage treatment equipment under the influence of rare earth magnetism, is the weight of rare earth magnetic influence, is an exponential function with the real number e as its base.

[0058] See also Figure 3 , Figure 3 Schematic diagram of process S12 of the rare earth mining area water environment quality early warning method based on data analysis of the present invention;

[0059] In this embodiment, S12 includes the following specific steps:

[0060] S121. Analyze the abnormal vibration of the sewage treatment equipment based on the vibration frequency and vibration amplitude. The abnormal vibration of the sewage treatment equipment can be obtained by the following calculation formula: ,in, Abnormal vibration value of sewage treatment equipment, The data collection time for sewage treatment equipment is is the time integral, is the vibration amplitude at time t, For the safe vibration amplitude, is the vibration frequency at time t, For safe vibration frequency;

[0061] S122. Analyze the abnormal current of the sewage treatment equipment based on the current. The abnormal current of the sewage treatment equipment can be obtained by the following calculation formula: ,in, Abnormal current value of sewage treatment equipment, is the current at time t, is the rated current;

[0062] S123. Analyze the abnormal operation of the sewage treatment equipment based on the abnormal vibration and abnormal current of the sewage treatment equipment. The abnormal operation of the sewage treatment equipment can be obtained by the following calculation formula: ,in, Abnormal values ​​for sewage treatment equipment operation.

[0063] In this embodiment, equipment operation abnormalities are calculated by real-time monitoring of mechanical faults such as bearing wear, impeller imbalance, and shaft misalignment, and real-time detection of load mutations, such as impeller blockage causing current increase. Combined with vibration abnormality and current abnormality analysis, it can be distinguished: simple mechanical faults (increased vibration but normal current), electrical faults (current harmonic distortion but normal vibration) and compound faults (such as magnetic powder adsorption causing increased vibration and current fluctuations).

[0064] See also Figure 4 , Figure 4 Schematic diagram of process S2 of the rare earth mining area water environment quality early warning method based on data analysis of the present invention;

[0065] S2. Collect magnetic particle data to analyze wear rate and particle adsorption capacity, and analyze the impact of sewage treatment on the life of sewage treatment equipment based on the wear rate and particle adsorption capacity;

[0066] In this embodiment, S2 includes the following specific steps:

[0067] Rare earth minerals (such as neodymium and pickaxe) often exist in sewage in the form of tiny magnetic particles. When flowing at high speed, they cause abrasion on the inner walls of equipment (pumps, pipes, valves). The magnetic particles tend to agglomerate and form hard abrasive particles, which aggravates friction loss.

[0068] S21, collecting magnetic particle data, wherein the magnetic particle data includes magnetic particle shape, magnetic particle concentration in sewage, magnetic particle hardness and particle magnetic susceptibility;

[0069] S22. Analyze the wear rate based on the shape of the magnetic particles, the concentration of the magnetic particles in the sewage, and the hardness of the magnetic particles. The wear rate can be calculated using the following formula: ,in, is the wear rate, is the hardness of the magnetic particles, for example, the Mohs hardness of Nd2O3 is 7, Design hardness for sewage treatment equipment, To measure the concentration of magnetic particles in sewage, a laser particle size analyzer is installed at the sewage inlet to monitor the particle size distribution and concentration in real time, with an accuracy of ±0.1% and a sampling frequency of ≥1Hz. is the average concentration of magnetic particles in the water flow, To measure the sewage flow rate, install an ultrasonic flow meter at the straight pipe section of the pump outlet (≥10 times the pipe diameter away from the elbow) to monitor the flow rate. To weight the influence of magnetic particle shape, an acoustic emission sensor is used to collect high-frequency acoustic wave signals from particles hitting the equipment wall. A machine learning model is established based on the acoustic signal spectrum (FFT analysis) and laboratory hardness / shape data to infer hardness and shape characteristics, distinguishing between sharp and spherical particles. In this example, the value of sharp particles is 1.5, and the value of spherical particles is 1.0.

[0070] S23. Analyze the particle adsorption amount based on the particle magnetic susceptibility, wherein the particle adsorption amount can be obtained by the following calculation formula: ,in, is the particle adsorption capacity, is the magnetic susceptibility of the particles, for example, NdFeB is 1.2×10 -3 , To measure the magnetic field strength on the surface of sewage treatment equipment, a Hall effect sensor is installed on the inner wall of the pump casing and other areas with severe adsorption to measure the magnetic field strength B in real time. The range is ±1T and the accuracy is ±0.5%. To calculate the particle density, a nuclear density meter is installed at the outlet of the sewage main pipe or sedimentation tank. The particle density is calculated by the attenuation rate using gamma rays to penetrate the sewage. For example, the particle density of Nd2O3 is about 7.2×10 3 kg / m³, To measure 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 adsorption layer thickness in real time. is the vacuum permeability, which is 4π×10 -7 T·m / A, is the acceleration due to gravity, which is 9.81m / s²;

[0071] Magnetic particles are adsorbed on rotating parts (such as pump shafts and agitator blades), causing vibration, accelerating the fatigue failure of bearings and seals, increasing the motor load, and shortening the life of the motor due to long-term overload operation. For every 10% increase in adsorption, the bearing life may decrease by 30% to 50%.

[0072] S24. Analyze the actual life of the sewage treatment equipment under the influence of sewage treatment based on the wear rate and the particle adsorption amount. The actual life of the sewage treatment equipment under the influence of sewage treatment can be obtained by the following calculation formula: ,in, is the actual life of the sewage treatment equipment, Design life of sewage treatment equipment, For the design allowable wear rate, In order to design the allowable adsorption capacity, equipment aging leads to decreased filtration efficiency, seal failure, and increased pollutant leakage.

[0073] In this embodiment, the service life calculation can reflect the impact of mechanical wear (such as thinning of the pump casing and corrosion of the impeller) and magnetic particle blockage (such as decreased filter porosity) on sewage treatment equipment. When the sewage concentration suddenly increases or the magnetic field intensity increases, the calculation formula can dynamically update the service life prediction, while the fixed service life model cannot accurately capture such risks.

[0074] In an exemplary embodiment, a wastewater treatment plant in a rare earth mining area originally used a 316L stainless steel centrifugal pump with a design life of 6 months. The wastewater contained NdFeB powder (magnetic susceptibility χ = 1.2×10 -3 , concentration 500ppm), the impeller weight increased by 15% due to adsorbed particles, resulting in the bearings being replaced every 2 months.

[0075] S3. Predict the water quality after treatment by the sewage treatment equipment based on the abnormal operation of the sewage treatment equipment under the influence of rare earth magnetism and the impact of treated sewage on the life of the sewage treatment equipment;

[0076] In this embodiment, S3 includes the following specific steps:

[0077] The quality of water treated by the sewage treatment equipment is predicted based on the comprehensive operational 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. The quality of water treated by the sewage treatment equipment can be obtained by the following calculation formula: ,in, The water quality after being treated by sewage treatment equipment, This is the design standard effluent quality when the equipment is newly put into operation. is the impact weight of abnormal operation, The maximum abnormal threshold allowed for sewage treatment equipment, is the service life impact weight, .

[0078] In this embodiment, the prediction of water quality simultaneously integrates abnormal factors such as wear, adsorption, and vibration, quantifies the aging effect of equipment, captures hidden degradation such as decreased sealing and reduced filtration efficiency, and directly reflects the combined impact of equipment performance degradation on water quality, avoiding the one-sidedness of a single indicator.

[0079] In an exemplary embodiment, the set weights in this embodiment are obtained through experiments by those skilled in the art. The specific experimental method is: collecting multiple historical sewage treatment equipment operation data and rare earth magnetic data, substituting them into each step in this embodiment to predict the water quality after treatment by the sewage treatment equipment, and at the same time obtaining the actual historical water quality treatment conditions, importing the predicted water quality conditions and the actual historical water quality treatment conditions into the fitting software for continuous fitting, and obtaining the value of the set weight with the highest similarity.

[0080] S4. Analyze the water quality treatment effect in rare earth mining areas based on the comparison results of water quality before and after treatment.

[0081] In this embodiment, S4 includes the following specific steps:

[0082] The water quality treatment efficiency is obtained by subtracting the water quality after treatment from the water quality before treatment and dividing the result by the water quality before treatment. The water quality treatment efficiency is compared with the set target water quality treatment efficiency. The set target water quality treatment efficiency is obtained according to 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 judged that the water environment quality of the rare earth mining area meets the standards. 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 standards and a quality warning is issued.

[0083] See also Figure 5 , Figure 5 This 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;

[0084] According to another aspect of an embodiment of the present invention, a rare earth mining area water environment quality early warning system based on data analysis is provided, comprising:

[0085] Operation abnormality analysis module, used to collect sewage treatment equipment operation data and rare earth magnetism data, and analyze the operation abnormalities of sewage treatment equipment under the influence of rare earth magnetism;

[0086] The service life analysis module is used to collect magnetic particle data to analyze the wear rate and particle adsorption amount, and analyze the impact of sewage treatment on the service life of sewage treatment equipment based on the wear rate and particle adsorption amount;

[0087] The water quality treatment prediction module is used to predict the water quality after treatment by the sewage treatment equipment based on the abnormal operation of the sewage treatment equipment under the influence of rare earth magnetism and the impact of treated sewage on the life of the sewage treatment equipment;

[0088] The treatment effect analysis module is used to 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.

[0089] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned rare earth mining area water environment quality early warning method based on data analysis when running.

[0090] According to another aspect of an embodiment of the present invention, a computer program product or computer program is provided, which includes computer instructions, which are stored in a computer-readable storage medium. A processor of a 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.

[0091] According to another aspect of an embodiment of the present invention, an electronic device is provided, comprising a memory and a processor, wherein 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: collecting sewage treatment equipment operation data and rare earth magnetic data, analyzing the operation abnormality of the 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 impact of treated sewage on the life of the sewage treatment equipment based on the wear rate and particle adsorption amount, predicting the water quality after treatment by the sewage treatment equipment based on the operation abnormality of the sewage treatment equipment under the influence of rare earth magnetism and the impact of treated sewage on the life of the sewage treatment equipment, and analyzing the water quality treatment effect of the rare earth mining area based on the comparison results of the water quality before and after treatment.

[0092] In addition, the electronic device further comprises: a display for displaying the water environment quality image; and a connection bus for connecting the various module components in the electronic device.

[0093] In this embodiment, a person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the hardware related to the terminal device through a program, and the program can be stored in a computer-readable storage medium, which can include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0094] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0095] In the above embodiments of the present invention, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0096] In the several embodiments provided by the present invention, it should be understood that the disclosed applications can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the units is merely a logical functional division. In actual implementation, there may be other division methods, such as multiple units or components being combined or integrated into another system, or some features being ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interface, indirect coupling or communication connection of units or modules, and may be electrical or other forms.

[0097] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0098] In addition, the functional units in the various embodiments of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware or in the form of software functional units.

[0099] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A water environment quality early warning method for rare earth mining areas based on data analysis, characterized in that: The specific steps include: S1. Collect the operation data of sewage treatment equipment and rare earth magnetism data, and analyze the abnormal operation of sewage treatment equipment under the influence of rare earth magnetism; S2. Collect magnetic particle data to analyze wear rate and particle adsorption capacity, and analyze the impact of sewage treatment on the life of sewage treatment equipment based on the wear rate and particle adsorption capacity; The S2 includes the following specific steps: S21, collecting magnetic particle data, wherein the magnetic particle data includes magnetic particle shape, magnetic particle concentration in sewage, magnetic particle hardness and particle magnetic susceptibility; S22, analyzing the wear rate based on the shape of magnetic particles, the concentration of magnetic particles in wastewater, and the hardness of magnetic particles; S23. Analyze the particle adsorption amount based on the particle magnetic susceptibility, wherein the particle adsorption amount is obtained by the following calculation formula: ,in, is the particle adsorption capacity, is the particle magnetic susceptibility, To measure the magnetic field strength on the surface of the sewage treatment equipment, a Hall effect sensor is installed on the area with severe adsorption on the inner wall of the pump casing to measure the magnetic field strength B in real time. To measure the particle density, a nuclear density meter is installed at the outlet of the sewage main or sedimentation tank to use gamma rays to penetrate the sewage and calculate the particle density by the attenuation rate. To measure 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 adsorption layer thickness in real time. is the vacuum permeability, is the acceleration due to gravity; Magnetic particles are adsorbed on rotating parts, causing vibration, accelerating fatigue failure of bearings and seals, and increasing motor load; S24. Analyze the actual life of sewage treatment equipment under the influence of sewage treatment based on wear rate and particle adsorption capacity; S3. Predict the water quality after treatment by the sewage treatment equipment based on the abnormal operation of the sewage treatment equipment under the influence of rare earth magnetism and the impact of treated sewage on the life of the sewage treatment equipment; S4. Analyze the water quality treatment effect in rare earth mining areas based on the comparison results of water quality before and after treatment.

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

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

4. The method for early warning of water environment quality in rare earth mining areas based on data analysis according to claim 3, characterized in that: The S3 includes the following specific steps: The water quality after treatment by sewage treatment equipment is predicted based on the comprehensive operational anomalies of sewage treatment equipment under the influence of rare earth magnetism and the actual service life of sewage treatment equipment under the influence of sewage treatment.

5. The method for early warning of water environment quality in rare earth mining areas based on data analysis according to claim 4, characterized in that: The S4 includes the following specific steps: The water quality treatment efficiency is obtained by subtracting the water quality after treatment from the water quality before treatment and then dividing the result by the water quality before treatment. The water quality treatment efficiency is compared 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.

6. A rare earth mining area water environment quality early warning system based on data analysis, used to implement the rare earth mining area water environment quality early warning method based on data analysis as claimed in any one of claims 1 to 5, characterized in that: include: Operation abnormality analysis module, used to collect sewage treatment equipment operation data and rare earth magnetism data, and analyze the operation abnormalities of sewage treatment equipment under the influence of rare earth magnetism; The service life analysis module is used to collect magnetic particle data to analyze the wear rate and particle adsorption amount, and analyze the impact of sewage treatment on the service life of sewage treatment equipment based on the wear rate and particle adsorption amount; The water quality treatment prediction module is used to predict the water quality after treatment by the sewage treatment equipment based on the abnormal operation of the sewage treatment equipment under the influence of rare earth magnetism and the impact of treated sewage on the life of the sewage treatment equipment; The treatment effect analysis module is used to 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.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein the computer program can be executed by an electronic device to execute the rare earth mining area water environment quality early warning method based on data analysis as described in any one of claims 1 to 5.

8. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method for early warning of water environment quality in rare earth mining areas based on data analysis as described in any one of claims 1 to 5 is implemented.

9. 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 rare earth mining area water environment quality early warning method based on data analysis as described in any one of claims 1 to 5 through the computer program.

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