Industrial water-saving internet-of-things control system and method for intelligent switching of double water sources

Abstract

The invention particularly relates to an industrial water-saving internet-of-things control system and method for intelligent switching of double water sources. The system comprises a water quality detection module; a water source switching module; a membrane maintenance module; and a life evaluation module. According to the invention, the cooperative work of the water quality detection module and the water source switching module can effectively guarantee the continuity of industrial production; the water quality detection module monitors turbidity and conductivity parameters after wastewater treatment in real time, and water quality abnormity is found in time by accurately calculating a trigger coefficient; maintenance of a filtering membrane corresponding to an abnormal water source is synchronously triggered in the water source switching process, the water quality problem is solved from the source, preparation is made for recovering water supply of a main water source, the long-term and stable water use requirement of industrial production is further guaranteed, and economic losses caused by the water supply problem are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial water saving, and in particular to an industrial water saving IoT control system and method for intelligent switching of dual water sources. Background Art

[0002] The rational use and effective management of water resources are crucial in industrial production. On the one hand, industrial production requires vast quantities of water, yet water shortages and pollution are becoming increasingly serious. Therefore, improving industrial water efficiency and achieving water conservation goals have become urgent priorities. On the other hand, the discharge of industrial wastewater, if not effectively treated and monitored, can cause serious environmental pollution.

[0003] At present, many industrial enterprises use equipment such as filter membranes to treat and reuse wastewater. However, in actual operation, the filter membranes are easily contaminated and damaged, resulting in a decrease in the quality of the treated water and affecting the normal production.

[0004] At the same time, traditional industrial water supply systems often rely on a single water source. Problems with that source, such as deteriorating water quality or insufficient water supply, can severely impact the continuity and stability of industrial production. Furthermore, existing industrial water-saving systems lack effective means for maintaining and assessing the lifespan of filter membranes. This inability to accurately and timely assess the condition of filter membranes leads to untimely or excessive maintenance, increasing production costs.

[0005] Therefore, an industrial water-saving IoT control system and method with intelligent dual-water source switching is needed. By supplying water from dual water sources, water source problems caused by membrane damage during wastewater treatment can be avoided to affect industrial production. Summary of the Invention

[0006] The purpose of the present invention is to solve the above problems and propose an industrial water-saving Internet of Things control system and method with dual water source intelligent switching.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] Industrial water-saving IoT control system with dual water source intelligent switching, including:

[0009] Water quality detection module: obtains the turbidity and conductivity parameters of the water quality after wastewater treatment, and obtains the trigger coefficient after analysis;

[0010] Water source switching module: preset the trigger coefficient threshold, compare the trigger coefficient with the trigger coefficient threshold, and if the trigger coefficient is greater than the trigger coefficient threshold, switch between the main and backup water sources;

[0011] Membrane maintenance module: backwashes the filter membrane and analyzes the backwash process and results to obtain a backwash evaluation coefficient; presets a backwash evaluation coefficient threshold, compares the backwash evaluation coefficient with the backwash evaluation coefficient threshold, and triggers ultrasonic cleaning of the membrane if the backwash evaluation coefficient is greater than the backwash evaluation coefficient threshold; analyzes the ultrasonic cleaning process and results to obtain the ultrasonic evaluation coefficient;

[0012] Life evaluation module: Evaluates the remaining life of the filter membrane based on the backwash evaluation coefficient and ultrasonic evaluation coefficient.

[0013] Preferably, the water quality detection module specifically includes:

[0014] Obtain turbidity parameter data of treated water online through turbidity monitor;

[0015] Obtain conductivity parameter data of treated water through online conductivity meter;

[0016] Determine the turbidity threshold and the conductivity threshold in the treated water quality, and subtract the turbidity threshold and the conductivity threshold from the obtained turbidity and conductivity respectively to obtain a turbidity difference value and a conductivity difference value;

[0017] If the turbidity difference is less than 0, it will be eliminated;

[0018] Similarly, if the conductivity difference is less than 0, it will be eliminated;

[0019] The trigger coefficient is obtained by weighting the turbidity difference and the conductivity difference.

[0020] Preferably, the main and backup water source switching in the water source switching module includes:

[0021] The water source corresponding to the trigger coefficient greater than the trigger coefficient threshold is temporarily supplied with water, and the backup water source pipeline is opened, the power of the variable frequency water pump is adjusted, and the backup water source is stably supplied according to the flow and pressure required for production. The filter membrane for filtering wastewater in the water source corresponding to the trigger coefficient is maintained.

[0022] Preferably, the process of obtaining the backwash assessment coefficient includes:

[0023] After the backwash operation is performed for a preset time, the hydrogen permeation flux is re-tested, and the hydrogen permeation flux obtained at this time is recorded as the post-backwash flux;

[0024] Obtain the permeation flux during the initial operation of the membrane and calculate the difference between it and the flux after backwashing to obtain the flux change value;

[0025] Presetting an allowable range of flux change values, matching the flux change value with the preset allowable range of flux change values, and recording the flux change value that is not within the allowable range of flux change values ​​as a flux deviation value;

[0026] The flushing liquid discharged during the backwashing process is obtained at preset time intervals, and the weight of impurities in the flushing liquid corresponding to each time interval is obtained in turn, and recorded as the weight of impurities dropped;

[0027] Arrange the impurity amounts of each drop according to the time series, and extract the first and last abnormal impurity amounts. Calculate the difference between the first and last abnormal impurity amounts, and take the absolute value to obtain the impurity change value.

[0028] Preset the allowable fluctuation range of the impurity change value, match the impurity change value with the preset allowable fluctuation range of the impurity change value, and record the impurity change value that is not within the preset allowable fluctuation range of the impurity change value as an abnormal impurity change value;

[0029] The backwash assessment coefficient is obtained by comprehensively analyzing the flux deviation value and the abnormal variation value;

[0030] A backwash assessment coefficient threshold is preset, and the backwash assessment coefficient is compared with the backwash assessment coefficient threshold. If the backwash assessment coefficient is greater than the backwash assessment coefficient threshold, ultrasonic cleaning of the membrane is triggered.

[0031] Preferably, the process of obtaining the ultrasonic evaluation coefficient includes:

[0032] The membrane flux measured after the backwash treatment is recorded as the first membrane flux; after the membrane is ultrasonically cleaned for a preset time, the membrane flux is measured again and recorded as the second membrane flux;

[0033] The flux recovery value is obtained by subtracting the first membrane flux from the second membrane flux;

[0034] The membrane is divided into regions according to the preset area, and each region is marked. According to the size of the marked number, each region is ultrasonically cleaned in turn;

[0035] Obtain the impurity mass obtained in each area during ultrasonic cleaning, and record it as the regional impurity mass;

[0036] Arrange the impurity masses of each region in descending order according to the value, and extract the three regions with the largest impurity masses and their corresponding regions;

[0037] Obtain the centers of the three regions with the largest impurity masses, and connect the centers of the three regions with straight lines to form a triangle. Calculate the area of ​​the triangle and record it as the span value.

[0038] Obtain image information of the membrane surface after cleaning, pre-process the image, and then perform feature extraction;

[0039] Extracting features related to cracks and damage, marking the extracted features as crack areas and damage areas of the membrane, performing pixel statistics on the marked crack areas and damage areas, calculating the number of pixels in each crack area and damage area, and converting the number of pixels in each crack area and damage area into actual area based on the resolution of the image to obtain the crack area and damage area of ​​the membrane;

[0040] The crack area and the damaged area are accumulated to obtain the rupture area; the rupture area is divided by the total area of ​​the film to obtain the rupture ratio;

[0041] Marking the outlines of the cracked area and the damaged area, and placing a preset number of starting points and docking points on the outlines of the cracked area and the damaged area respectively;

[0042] Connect the starting point and the docking point with straight lines in sequence, obtain the length of each straight line, and record the longest straight line as the maximum line length;

[0043] The ultrasonic evaluation coefficient is obtained by comprehensively processing the flux recovery value, span value, rupture ratio, and maximum line length.

[0044] Preferably, the lifespan assessment module includes:

[0045] The life of the membrane was evaluated based on the backwash evaluation coefficient and the life of the membrane was evaluated based on the ultrasonic evaluation coefficient.

[0046] Preferably, the evaluation of the membrane life based on the backwash evaluation coefficient specifically includes:

[0047] Three groups of threshold value ranges are preset, and the value range of each group of threshold values ​​corresponds to a remaining life level of a membrane. The backwash assessment coefficient is matched with the value range of the three groups of threshold values ​​to obtain the remaining life level of the membrane corresponding to the backwash assessment coefficient, where the remaining life level of the membrane includes level one, level two and level three.

[0048] Preferably, the ultrasonic evaluation coefficient is used to evaluate the life of the membrane, specifically including:

[0049] Three groups of threshold value ranges are preset, and the value range of each group of threshold values ​​corresponds to a membrane life remaining level. The ultrasonic evaluation coefficient is matched with the value range of the three groups of threshold values ​​to obtain the membrane life remaining level corresponding to the ultrasonic evaluation coefficient, where the membrane life remaining levels include level 4, level 5 and level 6;

[0050] The membrane life level is inversely proportional to the remaining life of the membrane.

[0051] The industrial water-saving IoT control method for dual water source intelligent switching includes:

[0052] Water quality testing and water source switching: Obtain the turbidity and conductivity parameters of the water quality after wastewater treatment, and analyze them to obtain the trigger coefficient; preset the trigger coefficient threshold, and compare the trigger coefficient with the trigger coefficient threshold. If the trigger coefficient is greater than the trigger coefficient threshold, the main and backup water sources are switched;

[0053] Membrane maintenance: Perform maintenance on the filter membrane, including backwashing the membrane, and analyze the backwashing process and results to obtain the backwashing evaluation coefficient; preset the backwashing evaluation coefficient threshold, compare the backwashing evaluation coefficient with the backwashing evaluation coefficient threshold, and if the backwashing evaluation coefficient is greater than the backwashing evaluation coefficient threshold, trigger ultrasonic cleaning of the membrane; analyze the ultrasonic cleaning process and results to obtain the ultrasonic evaluation coefficient;

[0054] Membrane life evaluation: Evaluate the remaining life of the filtration membrane based on the backwash evaluation coefficient and ultrasonic evaluation coefficient.

[0055] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0056] 1. The present invention can effectively ensure the continuity of industrial production through the coordinated work of the water quality detection module and the water source switching module; the water quality detection module monitors the turbidity and conductivity parameters of the wastewater after treatment in real time, and promptly detects water quality abnormalities by accurately calculating the trigger coefficient; during the water source switching process, the maintenance of the filter membrane corresponding to the abnormal water source is synchronously triggered, solving water quality problems from the source, preparing for the restoration of the main water source supply, further ensuring the long-term and stable water demand of industrial production, and reducing economic losses caused by water supply problems.

[0057] 2. This invention achieves efficient maintenance of the filter membrane and accurate lifespan assessment through the coordinated efforts of the membrane maintenance module and lifespan assessment module. The membrane maintenance module comprehensively analyzes the condition of the filter membrane using backwash and ultrasonic evaluation coefficients. Multiple preset thresholds are used to classify the membrane's remaining lifespan, enabling accurate assessment of the membrane's remaining useful life. This scientific maintenance and assessment approach avoids resource waste caused by excessive maintenance and prevents rapid degradation of membrane performance due to untimely maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Further details, features and advantages of the present application are disclosed in the following description of exemplary embodiments in conjunction with the accompanying drawings, in which:

[0059] Figure 1 Flowchart of the present invention. DETAILED DESCRIPTION

[0060] Several embodiments of the present application will be described in more detail below with reference to the accompanying drawings so that those skilled in the art can implement the present application. The present application can be embodied in many different forms and for many different purposes and should not be limited to the embodiments described herein. These embodiments are provided to make the present application comprehensive and complete and to fully convey the scope of the present application to those skilled in the art. The embodiments do not limit the present application.

[0061] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs. It will be further understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the relevant art and / or the context of this specification, and will not be interpreted in an idealized or overly formal sense unless explicitly defined as such herein.

[0062] See also Figure 1 As shown, the present invention provides a technical solution:

[0063] Industrial water-saving IoT control system with dual water source intelligent switching, including:

[0064] Water quality detection module: obtains the turbidity and conductivity parameters of the water quality after wastewater treatment, and obtains the trigger coefficient after analysis;

[0065] In the field of industrial water conservation, wastewater treatment generally refers to the process of purifying, recycling and reusing wastewater generated during industrial production, with the aim of reducing fresh water consumption, lowering pollutant emissions and achieving the recycling of water resources. This includes production process wastewater and wastewater discharged from circulating cooling water systems.

[0066] Specifically include:

[0067] Obtain turbidity parameter data of treated water online through turbidity monitor;

[0068] Obtain conductivity parameter data of treated water through online conductivity meter;

[0069] Determine the turbidity threshold and the conductivity threshold in the treated water quality, and subtract the turbidity threshold and the conductivity threshold from the obtained turbidity and conductivity respectively to obtain a turbidity difference value and a conductivity difference value;

[0070] Determination of turbidity threshold and conductivity threshold:

[0071] According to the purpose of the treated water (such as reuse, discharge, etc.), refer to the turbidity limits in relevant standards (such as "Water Quality for Industrial Water Use in Municipal Wastewater Recycling" GB / T19923);

[0072] For example:

[0073] The turbidity of industrial circulating cooling water is usually ≤5NTU;

[0074] The turbidity of boiler feed water must be ≤0.5NTU;

[0075] Threshold setting logic:

[0076] The turbidity threshold of produced water is ≤ 80% of the target water quality standard limit (with a safety margin reserved);

[0077] For example, if the standard limit is 1NTU, the threshold can be set at 0.8NTU;

[0078] If the turbidity difference is less than 0, it will be eliminated;

[0079] Similarly, if the conductivity difference is less than 0, it will be eliminated;

[0080] The trigger coefficient is obtained by weighting the turbidity difference and the conductivity difference;

[0081] Preset weighting factors for turbidity difference and conductivity difference, multiply the turbidity difference and conductivity difference by their corresponding weighting factors, and sum them to obtain a trigger coefficient;

[0082] Water source switching module: preset the trigger coefficient threshold, compare the trigger coefficient with the trigger coefficient threshold, and if the trigger coefficient is greater than the trigger coefficient threshold, switch between the main and backup water sources;

[0083] The main and backup water source switching includes:

[0084] Temporarily supply water to the water source corresponding to the trigger coefficient greater than the trigger coefficient threshold, open the backup water source pipeline, adjust the power of the variable frequency water pump, and stably supply the backup water source according to the flow and pressure required for production. Maintain the filter membrane that filters the wastewater in the water source corresponding to the trigger coefficient;

[0085] Membrane maintenance module: backwash the membrane and analyze it to obtain the backwash evaluation coefficient; ultrasonically clean the membrane based on the backwash evaluation index and analyze it to obtain the ultrasonic evaluation coefficient;

[0086] The process of obtaining the backwash assessment coefficient includes:

[0087] The clean flushing liquid is passed into the membrane separation device in reverse at a preset pressure and flow rate. Under the action of the flushing liquid, impurities on the membrane surface and in the pores are washed off and discharged with the flushing liquid.

[0088] After the backwash operation is performed for a preset time, the hydrogen permeation flux is re-tested, and the hydrogen permeation flux obtained at this time is recorded as the post-backwash flux;

[0089] Obtain the permeation flux during the initial operation of the membrane and calculate the difference between it and the flux after backwashing to obtain the flux change value;

[0090] Presetting an allowable range of flux change values, matching the flux change value with the preset allowable range of flux change values, and recording the flux change value that is not within the allowable range of flux change values ​​as a flux deviation value;

[0091] The flushing liquid discharged during the backwashing process is obtained at preset time intervals, and the weight of impurities in the flushing liquid corresponding to each time interval is obtained in turn, and recorded as the weight of impurities dropped;

[0092] Arrange the impurity amounts of each drop according to the time series, and extract the first and last abnormal impurity amounts. Calculate the difference between the first and last abnormal impurity amounts, and take the absolute value to obtain the impurity change value.

[0093] Preset the allowable fluctuation range of the impurity change value, match the impurity change value with the preset allowable fluctuation range of the impurity change value, and record the impurity change value that is not within the preset allowable fluctuation range of the impurity change value as an abnormal impurity change value;

[0094] The backwash assessment coefficient is obtained by comprehensively analyzing the flux deviation value and the abnormal variation value;

[0095] Mark the flux deviation value and abnormal variation value as FD and AH respectively and then enter them into the formula:

[0096]

[0097] The backwash assessment coefficient ζ is obtained; where FD′ and AH′ are the reference flux deviation value and the maximum allowable abnormal variation value, respectively; a1 and a2 are the weight factors of the flux deviation value and the abnormal variation value, respectively.

[0098] A backwash assessment coefficient threshold is preset, and the backwash assessment coefficient is compared with the backwash assessment coefficient threshold. If the backwash assessment coefficient is greater than the backwash assessment coefficient threshold, ultrasonic cleaning of the membrane is triggered;

[0099] The process of obtaining the ultrasonic evaluation coefficient includes:

[0100] The membrane flux measured after the backwash treatment is recorded as the first membrane flux; after the membrane is ultrasonically cleaned for a preset time, the membrane flux is measured again and recorded as the second membrane flux;

[0101] The flux recovery value is obtained by subtracting the first membrane flux from the second membrane flux;

[0102] The membrane is divided into regions according to the preset area, and each region is marked. According to the size of the marked number, each region is ultrasonically cleaned in turn;

[0103] Obtain the impurity mass obtained in each area during ultrasonic cleaning, and record it as the regional impurity mass;

[0104] Arrange the impurity masses of each region in descending order according to the value, and extract the three regions with the largest impurity masses and their corresponding regions;

[0105] Obtain the centers of the three regions with the largest impurity masses, and connect the centers of the three regions with straight lines to form a triangle. Calculate the area of ​​the triangle and record it as the span value.

[0106] Obtain image information of the membrane surface after cleaning, pre-process the image, and then perform feature extraction;

[0107] Extracting features related to cracks and damage, marking the extracted features as crack areas and damage areas of the membrane, performing pixel statistics on the marked crack areas and damage areas, calculating the number of pixels in each crack area and damage area, and converting the number of pixels in each crack area and damage area into actual area based on the resolution of the image to obtain the crack area and damage area of ​​the membrane;

[0108] The crack area and the damaged area are accumulated to obtain the rupture area; the rupture area is divided by the total area of ​​the film to obtain the rupture ratio;

[0109] Marking the outlines of the cracked area and the damaged area, and placing a preset number of starting points and docking points on the outlines of the cracked area and the damaged area respectively;

[0110] Connect the starting point and the docking point with straight lines in sequence, obtain the length of each straight line, and record the longest straight line as the maximum line length;

[0111] The ultrasonic evaluation coefficient is obtained by comprehensively processing the flux recovery value, span value, rupture ratio, and maximum line length;

[0112] After normalizing the flux recovery value, span value, rupture ratio, and maximum line length, the span value and rupture ratio are used as the two sides of the rectangle, and the maximum line length is used as the height of the rectangle to establish a tetrahedron model. The flux recovery value is used as the radius to establish a sphere, and the center of the sphere is used as the vertex of the tetrahedron height. The tetrahedron is placed in the sphere, and the tetrahedron is rotated with the vertex of the tetrahedron as the rotation axis. The sphere is cut during the rotation process; the remaining sphere volume is obtained and recorded as the ultrasonic evaluation coefficient.

[0113] Life evaluation module: evaluates the membrane life based on the backwash evaluation coefficient and the ultrasonic evaluation coefficient;

[0114] The membrane life is evaluated based on the backwash assessment coefficient, including:

[0115] Three groups of threshold value ranges are preset, and the value range of each group of threshold values ​​corresponds to a membrane life remaining level. The backwash assessment coefficient is matched with the value range of the three groups of threshold values ​​to obtain the membrane life remaining level corresponding to the backwash assessment coefficient, where the membrane life remaining level includes level one, level two and level three;

[0116] Based on the ultrasonic evaluation coefficient, the membrane life is graded;

[0117] Three groups of threshold value ranges are preset, and the value range of each group of threshold values ​​corresponds to a membrane life remaining level. The ultrasonic evaluation coefficient is matched with the value range of the three groups of threshold values ​​to obtain the membrane life remaining level corresponding to the ultrasonic evaluation coefficient, where the membrane life remaining levels include level 4, level 5 and level 6;

[0118] The membrane life grade is inversely proportional to the remaining life of the membrane; that is, the higher the membrane life grade, the shorter the remaining life of the membrane.

[0119] The industrial water-saving IoT control method for dual water source intelligent switching includes:

[0120] Water quality testing and water source switching: Obtain the turbidity and conductivity parameters of the water quality after wastewater treatment, and analyze them to obtain the trigger coefficient; preset the trigger coefficient threshold, and compare the trigger coefficient with the trigger coefficient threshold. If the trigger coefficient is greater than the trigger coefficient threshold, the main and backup water sources are switched;

[0121] Membrane maintenance: Perform maintenance on the filter membrane, including backwashing the membrane, and analyze the backwashing process and results to obtain the backwashing evaluation coefficient; preset the backwashing evaluation coefficient threshold, compare the backwashing evaluation coefficient with the backwashing evaluation coefficient threshold, and if the backwashing evaluation coefficient is greater than the backwashing evaluation coefficient threshold, trigger ultrasonic cleaning of the membrane; analyze the ultrasonic cleaning process and results to obtain the ultrasonic evaluation coefficient;

[0122] Membrane life evaluation: Evaluate the remaining life of the filtration membrane based on the backwash evaluation coefficient and ultrasonic evaluation coefficient;

[0123] After evaluating the life of the membrane, the membrane is put back into use and the turbidity and conductivity parameters of the treated water are continuously obtained and analyzed to obtain the trigger coefficient;

[0124] If the trigger coefficient at this time is greater than the trigger coefficient threshold, the trigger coefficient is obtained again by calculation after replacing the membrane. If the trigger coefficient after replacing the membrane is still greater than the trigger coefficient threshold, maintenance personnel are dispatched to inspect other equipment involved in wastewater treatment to determine the source of the problem.

[0125] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The influencing weight factors and specific coefficient values ​​in the formula are set by technical personnel in this field according to actual conditions, and can be adjusted and modified later.

[0126] The above description of the embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. The industrial water-saving IoT control system with dual water source intelligent switching is characterized by: include: Water quality detection module: obtains the turbidity and conductivity parameters of the water quality after wastewater treatment, and obtains the trigger coefficient after analysis; Water source switching module: preset the trigger coefficient threshold, compare the trigger coefficient with the trigger coefficient threshold, and if the trigger coefficient is greater than the trigger coefficient threshold, switch between the main and backup water sources; Membrane maintenance module: backwashes the filter membrane and analyzes the backwash process and results to obtain a backwash evaluation coefficient; presets a backwash evaluation coefficient threshold, compares the backwash evaluation coefficient with the backwash evaluation coefficient threshold, and triggers ultrasonic cleaning of the membrane if the backwash evaluation coefficient is greater than the backwash evaluation coefficient threshold; analyzes the ultrasonic cleaning process and results to obtain the ultrasonic evaluation coefficient; Life evaluation module: Evaluates the remaining life of the filter membrane based on the backwash evaluation coefficient and ultrasonic evaluation coefficient.

2. The industrial water-saving IoT control system with dual water source intelligent switching according to claim 1 is characterized in that: The water quality detection module specifically includes: Obtain turbidity parameter data of treated water online through turbidity monitor; Obtain conductivity parameter data of treated water through online conductivity meter; Determine the turbidity threshold and the conductivity threshold in the treated water quality, and subtract the turbidity threshold and the conductivity threshold from the obtained turbidity and conductivity respectively to obtain a turbidity difference value and a conductivity difference value; Determination of turbidity threshold and conductivity threshold: According to the purpose of the treated water, refer to the turbidity limit in the relevant standards; Threshold setting logic: produced water turbidity threshold ≤ 80% of target water quality standard limit; If the turbidity difference is less than 0, it will be eliminated; Similarly, if the conductivity difference is less than 0, it will be eliminated; The trigger coefficient is obtained by weighting the turbidity difference and the conductivity difference; The weight factors of the turbidity difference and the conductivity difference are preset, and the trigger coefficient is obtained by multiplying the turbidity difference and the conductivity difference with their corresponding weight factors.

3. The industrial water-saving IoT control system with dual water source intelligent switching according to claim 2 is characterized in that: The main and backup water source switching in the water source switching module includes: The water source corresponding to the trigger coefficient greater than the trigger coefficient threshold is temporarily supplied with water, and the backup water source pipeline is opened, the power of the variable frequency water pump is adjusted, and the backup water source is stably supplied according to the flow and pressure required for production. The filter membrane for filtering wastewater in the water source corresponding to the trigger coefficient is maintained.

4. The industrial water-saving IoT control system with dual water source intelligent switching according to claim 3 is characterized in that: The process of obtaining the backwash assessment coefficient includes: After the backwash operation is performed for a preset time, the hydrogen permeation flux is re-tested, and the hydrogen permeation flux obtained at this time is recorded as the post-backwash flux; Obtain the permeation flux during the initial operation of the membrane and calculate the difference between it and the flux after backwashing to obtain the flux change value; Presetting an allowable range of flux change values, matching the flux change value with the preset allowable range of flux change values, and recording the flux change value that is not within the allowable range of flux change values ​​as a flux deviation value; The flushing liquid discharged during the backwashing process is obtained at preset time intervals, and the weight of impurities in the flushing liquid corresponding to each time interval is obtained in turn, and recorded as the weight of impurities dropped; Arrange the impurity amounts of each drop according to the time series, and extract the first and last abnormal impurity amounts. Calculate the difference between the first and last abnormal impurity amounts, and take the absolute value to obtain the impurity change value. Preset the allowable fluctuation range of the impurity change value, match the impurity change value with the preset allowable fluctuation range of the impurity change value, and record the impurity change value that is not within the preset allowable fluctuation range of the impurity change value as an abnormal impurity change value; The backwash assessment coefficient is obtained by comprehensively analyzing the flux deviation value and the abnormal variation value; A backwash assessment coefficient threshold is preset, and the backwash assessment coefficient is compared with the backwash assessment coefficient threshold. If the backwash assessment coefficient is greater than the backwash assessment coefficient threshold, ultrasonic cleaning of the membrane is triggered.

5. The industrial water-saving IoT control system with dual water source intelligent switching according to claim 4 is characterized in that: The process of obtaining the ultrasonic evaluation coefficient includes: The membrane flux measured after the backwash treatment is recorded as the first membrane flux; after the membrane is ultrasonically cleaned for a preset time, the membrane flux is measured again and recorded as the second membrane flux; The flux recovery value is obtained by subtracting the first membrane flux from the second membrane flux; The membrane is divided into regions according to the preset area, and each region is marked. According to the size of the marked number, each region is ultrasonically cleaned in turn; Obtain the impurity mass obtained in each area during ultrasonic cleaning, and record it as the regional impurity mass; Arrange the impurity masses of each region in descending order according to the value, and extract the three regions with the largest impurity masses and their corresponding regions; Obtain the centers of the three regions with the largest impurity masses, and connect the centers of the three regions with straight lines to form a triangle. Calculate the area of ​​the triangle and record it as the span value. Obtain image information of the membrane surface after cleaning, pre-process the image, and then perform feature extraction; Extracting features related to cracks and damage, marking the extracted features as crack areas and damage areas of the membrane, performing pixel statistics on the marked crack areas and damage areas, calculating the number of pixels in each crack area and damage area, and converting the number of pixels in each crack area and damage area into actual area based on the resolution of the image to obtain the crack area and damage area of ​​the membrane; The crack area and the damaged area are accumulated to obtain the rupture area; the rupture area is divided by the total area of ​​the film to obtain the rupture ratio; Marking the outlines of the cracked area and the damaged area, and placing a preset number of starting points and docking points on the outlines of the cracked area and the damaged area respectively; Connect the starting point and the docking point with straight lines in sequence, obtain the length of each straight line, and record the longest straight line as the maximum line length; The ultrasonic evaluation coefficient is obtained by comprehensively processing the flux recovery value, span value, rupture ratio, and maximum line length.

6. The industrial water-saving IoT control system with dual water source intelligent switching according to claim 5 is characterized in that: The life assessment module includes: The life of the membrane was evaluated based on the backwash evaluation coefficient and the life of the membrane was evaluated based on the ultrasonic evaluation coefficient.

7. The industrial water-saving IoT control system with dual water source intelligent switching according to claim 6 is characterized in that: The membrane life is evaluated based on the backwash assessment coefficient, including: Three groups of threshold value ranges are preset, and the value range of each group of threshold values ​​corresponds to a remaining life level of a membrane. The backwash assessment coefficient is matched with the value range of the three groups of threshold values ​​to obtain the remaining life level of the membrane corresponding to the backwash assessment coefficient, where the remaining life level of the membrane includes level one, level two and level three.

8. The industrial water-saving IoT control system with dual water source intelligent switching according to claim 7 is characterized in that: Ultrasonic evaluation coefficients are used to evaluate the life of the membrane, including: Three groups of threshold value ranges are preset, and the value range of each group of threshold values ​​corresponds to a membrane life remaining level. The ultrasonic evaluation coefficient is matched with the value range of the three groups of threshold values ​​to obtain the membrane life remaining level corresponding to the ultrasonic evaluation coefficient, where the membrane life remaining levels include level 4, level 5 and level 6; The membrane life level is inversely proportional to the remaining life of the membrane.

9. An industrial water-saving IoT control method for intelligent switching of dual water sources, according to any one of claims 1 to 8, characterized in that: include: Water quality testing and water source switching: Obtain the turbidity and conductivity parameters of the water after wastewater treatment, and obtain the trigger coefficient after analysis; Preset the trigger coefficient threshold, compare the trigger coefficient with the trigger coefficient threshold, and if the trigger coefficient is greater than the trigger coefficient threshold, switch the main and backup water sources; Membrane maintenance: Perform maintenance on the filter membrane, including backwashing the membrane, and analyze the backwashing process and results to obtain the backwashing evaluation coefficient; preset the backwashing evaluation coefficient threshold, compare the backwashing evaluation coefficient with the backwashing evaluation coefficient threshold, and if the backwashing evaluation coefficient is greater than the backwashing evaluation coefficient threshold, trigger ultrasonic cleaning of the membrane; analyze the ultrasonic cleaning process and results to obtain the ultrasonic evaluation coefficient; Membrane life evaluation: Evaluate the remaining life of the filtration membrane based on the backwash evaluation coefficient and ultrasonic evaluation coefficient.

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