A cutting fluid wastewater treatment system for machine tool accessories processing

Abstract

The present invention belongs to the technical field of cutting fluid wastewater treatment supervision, and specifically is a cutting fluid wastewater treatment system for machine tool accessory processing, comprising a wastewater step-by-step treatment unit, an inlet and outlet online monitoring unit, a pollution analysis unit, a wastewater treatment control and analysis unit, and an intelligent management terminal; the present invention integrates a variety of treatment technologies through the wastewater step-by-step treatment unit to remove various pollutants in the cutting fluid wastewater, the inlet and outlet online monitoring unit samples the cutting fluid wastewater before treatment and the clean water after treatment and collects monitoring data of various pollution parameters in the corresponding sampled liquid, the pollution analysis unit judges the pollution status based on the monitoring data of various pollution parameters in the corresponding sampled liquid, the wastewater treatment control and analysis unit judges whether the wastewater treatment is abnormal through analysis and accurately evaluates the treatment control performance of the cutting fluid wastewater treatment, which is conducive to ensuring the treatment efficiency and treatment effect of the cutting fluid wastewater, and has a high level of intelligence and automation.

Description

Technical Field

[0001] The invention relates to the technical field of cutting fluid wastewater treatment supervision, in particular to a cutting fluid wastewater treatment system for machining machine tool accessories. Background Art

[0002] Cutting fluid is an indispensable auxiliary material in the processing of machine tool accessories, mainly used for cooling, lubrication and cleaning. However, during use, cutting fluid will mix with metal debris, grease, emulsifiers and other chemicals, forming a complex wastewater system. If it is discharged directly without proper treatment, it will cause serious pollution to the environment.

[0003] A Chinese invention patent with publication number CN103373795A discloses a cutting fluid wastewater treatment device, which includes a sewage pump, a multiphase medium pump, a dosing system, a coagulation and flotation separation device, and an integrated purification device. The integrated design achieves advantages such as a small overall equipment footprint, a high degree of automation, good purification effects, and ease of daily maintenance and management.

[0004] However, in actual application, the above-mentioned technical solution cannot effectively monitor and reasonably evaluate the contamination status of the input wastewater and the output clean water during the cutting fluid wastewater treatment process, and it is difficult to comprehensively analyze and gradually judge the treatment and control performance of the cutting fluid wastewater treatment. This increases the workload of operators and the difficulty of operation and management, is not conducive to ensuring the efficient and stable progress of the wastewater treatment process, and has a low level of intelligence and automation.

[0005] In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0006] The purpose of the present invention is to provide a cutting fluid wastewater treatment system for machine tool accessories processing, which solves the problems that the existing technology cannot effectively monitor and reasonably evaluate the pollution status of the input wastewater and the output clean water during the cutting fluid wastewater treatment process, and it is difficult to comprehensively analyze and gradually judge the treatment and control performance of the cutting fluid wastewater treatment, and the operation and management are difficult and the level of intelligence and automation is low.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A cutting fluid wastewater treatment system for machine tool accessory processing includes a wastewater step-by-step treatment unit, an inlet and outlet online monitoring unit, a pollution analysis unit, a wastewater treatment control and analysis unit, and an intelligent management terminal. The wastewater step-by-step treatment unit removes various pollutants from the cutting fluid wastewater by integrating multiple treatment technologies and transmits the treated clean water. The inlet and outlet online monitoring unit samples the cutting fluid wastewater before treatment and the treated clean water, collects monitoring data of various pollution parameters in the corresponding sampled liquids, and transmits the monitoring data of various pollution parameters to the pollution analysis unit.

[0009] The pollution analysis unit performs liquid contamination analysis based on the monitoring data of various pollution parameters in the corresponding sampled liquid, thereby obtaining the pollution monitoring value of the corresponding sampled liquid, and sending the pollution monitoring value to the wastewater treatment control analysis unit; the wastewater treatment control analysis unit determines whether the wastewater treatment is abnormal through analysis, and comprehensively evaluates the treatment control performance of the cutting fluid wastewater treatment per unit time, and generates a treatment control qualified signal or a treatment control alarm signal based on this, and sends the treatment control qualified signal or the treatment control alarm signal to the intelligent management end.

[0010] Furthermore, the wastewater step-by-step treatment unit includes a pretreatment module, a coagulation and sedimentation module, a flotation oil removal module, a biological treatment module and a deep treatment module.

[0011] Furthermore, the pretreatment module removes large solid impurities from the cutting fluid wastewater through a grid. The coagulation and sedimentation module adds a coagulant to the cutting fluid wastewater to form flocs based on chemical reactions, accelerating the precipitation and separation of suspended matter and colloidal substances. The flotation deoiling module uses the adsorption effect of tiny bubbles to make light pollutants such as grease and emulsions in the wastewater float to the water surface, where they are removed by a scraping device.

[0012] The biological treatment module uses an aerobic-anaerobic bioreactor and utilizes the metabolic action of microorganisms to decompose organic pollutants in the wastewater into harmless substances; the deep treatment module uses ultrafiltration, nanofiltration or reverse osmosis membrane technology to further remove dissolved solids, heavy metal ions and tiny particles in the wastewater.

[0013] Furthermore, the specific analysis process of the pollution analysis unit is as follows:

[0014] Collect the suspended matter content, oil content, chemical additive content, heavy metal ion content, organic matter content, total nitrogen content and total phosphorus content of the corresponding sampled liquid, and collect the pH value of the corresponding sampled liquid and mark the deviation from the standard pH value as the pH value;

[0015] Corresponding preset pollution weight values are assigned to the suspended matter content, grease content, chemical additive content, heavy metal ion content, organic matter content, total nitrogen content, total phosphorus content and pH value, and the suspended matter content, grease content, chemical additive content, heavy metal ion content, organic matter content, total nitrogen content, total phosphorus content and pH value are multiplied by the corresponding preset pollution weight values respectively, and the sum of the multiplication results is marked as the pollution monitoring value.

[0016] Furthermore, the specific analysis process of the wastewater treatment control and analysis unit includes:

[0017] The pollution monitoring value corresponding to the treated clean water is collected and compared with the preset pollution monitoring threshold. If the pollution monitoring value does not exceed the preset pollution monitoring threshold, the wastewater treatment is judged to be normal. If the pollution monitoring value exceeds the preset pollution monitoring threshold, the wastewater treatment is judged to be abnormal and the corresponding judgment information is sent to the intelligent management end;

[0018] When judging wastewater treatment abnormality, the corresponding pollution monitoring value is subtracted from the corresponding preset pollution monitoring threshold to obtain the pollution excess value, all pollution excess values within a unit time are averaged to obtain the pollution excess detection value, and the pollution excess value with the largest value within a unit time is marked as the pollution excess value;

[0019] The number of times wastewater treatment anomalies are judged per unit time is marked as the wastewater treatment anomaly detection value, and the clean water assessment value is obtained by weighted summing up the wastewater treatment anomaly detection value, the pollution excess detection value and the pollution excess amplitude value. The clean water assessment value is numerically compared with the preset clean water assessment threshold. If the clean water assessment value exceeds the preset clean water assessment threshold, a treatment control alarm signal is generated.

[0020] Furthermore, if the water purification evaluation value does not exceed the preset water purification evaluation threshold, the moment when the wastewater treatment is judged to be abnormal is marked as a red alert moment, and the moment when the wastewater treatment is judged to be normal is marked as a normal moment. All red alert moments and normal moments within the unit time are sorted in chronological order;

[0021] The number of red alert moments between two adjacent groups of normal moments is collected and marked as the red alert duration value. The red alert duration value is compared with the preset red alert duration threshold. If the red alert duration value exceeds the preset red alert duration threshold, the corresponding red alert duration value is marked as a red alert duration outlier value. The number of red alert duration outliers per unit time is obtained and marked as the red alert risk value.

[0022] and calculating the average of all red alert persistence outliers within a unit time compared to the preset red alert duration threshold to obtain a red alert performance value, and marking the maximum value of the red alert persistence outliers within a unit time compared to the preset red alert duration threshold as the red alert excess value;

[0023] The red alert assessment value is obtained by weighted summing up the red alert risk value, the red alert performance value and the red alert excess value, and the red alert assessment value is numerically compared with the preset red alert assessment threshold. If the red alert assessment value exceeds the preset red alert assessment threshold, a processing and control alarm signal is generated.

[0024] Furthermore, if the red alert assessment value does not exceed the preset red alert assessment threshold, the treatment volume of the cutting fluid wastewater per unit time is obtained and marked as the wastewater volume inspection value, and the pollution monitoring value corresponding to the cutting fluid wastewater before treatment per unit time is collected and a liquid input set is established. The mean of all pollution subsets in the liquid input set is calculated to obtain the infusion analysis value;

[0025] Several groups of preset infusion analysis value ranges are set in advance, and each group of preset infusion analysis value ranges corresponds to a group of preset wastewater volume detection thresholds. The infusion analysis value is compared with all the preset infusion analysis value ranges one by one, and the preset infusion analysis value range containing the corresponding infusion analysis value is marked as a reference range; the preset wastewater volume detection threshold corresponding to the reference range is obtained and marked as the reference threshold, and the wastewater volume detection value is numerically compared with the corresponding reference threshold. If the wastewater volume detection value does not exceed the reference threshold, a processing control alarm signal is generated.

[0026] Furthermore, the wastewater treatment control and analysis unit is communicatively connected to the coordination influence decision-making unit, and the wastewater treatment control and analysis unit sends the treatment control qualified signal to the coordination influence decision-making unit. When the coordination influence decision-making unit receives the treatment control qualified signal, it analyzes the coordination influence of each device in the wastewater treatment unit step by step, generates a coordination influence abnormal signal or a coordination influence normal signal through analysis, and sends the coordination influence abnormal signal or the coordination influence normal signal to the intelligent management end.

[0027] Furthermore, the specific analysis process of the influential decision-making unit is as follows:

[0028] Obtain all treatment equipment in the wastewater step-by-step treatment unit, mark the corresponding treatment equipment as analysis object i, where i is a natural number greater than 1;

[0029] Taking the current moment as the end moment and tracing back, we set the analysis period to T1. The interval between two consecutive inspections and maintenance of analysis object i within the analysis period is marked as the characteristic duration. The characteristic coefficient is obtained by calculating the mean of all characteristic durations of analysis object i within the analysis period.

[0030] The number of failures of the analysis object i within the analysis period is marked as the failure coefficient, and the production interval of the analysis object i is marked as the production coefficient. The analysis coefficient is calculated by weighted summing the characteristic coefficient, the failure coefficient, and the production coefficient.

[0031] The analysis coefficient is numerically compared with the corresponding preset analysis coefficient threshold. If the analysis coefficient exceeds the corresponding preset analysis coefficient threshold, the analysis object i is marked as a non-optimal matching object; the quantitative proportion of non-optimal matching objects in the wastewater step-by-step treatment unit is obtained and marked as a non-optimal matching detection value, and the analysis coefficient of the analysis object i is calculated by ratio with the corresponding preset analysis coefficient threshold to obtain the distribution value, and the distribution value of all treatment equipment is averaged to obtain the matching poor detection value;

[0032] The non-optimal match detection value and the poor match detection value are numerically compared with the preset non-optimal match detection threshold and the preset poor match detection threshold respectively. If the non-optimal match detection value or the poor match detection value exceeds the corresponding preset threshold, an abnormal match impact signal is generated; if neither the non-optimal match detection value nor the poor match detection value exceeds the corresponding preset threshold, a normal match impact signal is generated.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] 1. In the present invention, various pollutants in cutting fluid wastewater are removed by integrating multiple treatment technologies through a wastewater step-by-step treatment unit. The inlet and outlet online monitoring unit samples the cutting fluid wastewater before treatment and the clean water after treatment and collects monitoring data of various pollution parameters in the corresponding sampled liquids. The pollution analysis unit determines the pollution status based on the monitoring data of various pollution parameters in the corresponding sampled liquids. The wastewater treatment control and analysis unit determines whether the wastewater treatment is abnormal through analysis and accurately evaluates the treatment and control performance of the cutting fluid wastewater treatment. This is conducive to ensuring the treatment efficiency and treatment effect of the cutting fluid wastewater and significantly reducing the workload of operators and the difficulty of operation management.

[0035] 2. In the present invention, the wastewater treatment control and analysis unit sends the treatment control qualified signal to the coordination influence decision unit. When the coordination influence decision unit receives the treatment control qualified signal, it analyzes the coordination influence of each device in the wastewater step-by-step treatment unit, and strengthens the equipment supervision of the wastewater step-by-step treatment unit when the coordination influence abnormal signal is generated, ensuring the efficient, stable and safe operation of all equipment, further improving the treatment efficiency and treatment effect of cutting fluid wastewater, and having a high level of intelligence and automation. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings;

[0037] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0038] Figure 2 This is a system block diagram of the wastewater step-by-step treatment unit of the present invention;

[0039] Figure 3 This is a system block diagram of Example 2 of the present invention. DETAILED DESCRIPTION

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0041] Example 1: Figure 1-2 As shown, the present invention proposes a cutting fluid wastewater treatment system for machine tool accessory processing, including a wastewater step-by-step treatment unit, an inlet and outlet online monitoring unit, a pollution analysis unit, a wastewater treatment control and analysis unit, and an intelligent management terminal;

[0042] During the machining of machine tool accessories, cutting fluid is widely used to cool, lubricate and clean the surfaces of cutting tools and workpieces. The wastewater generated during the cutting process contains a large amount of pollutants. The wastewater step-by-step treatment unit integrates multiple treatment technologies to remove various pollutants in the cutting fluid wastewater and transports the treated clean water out. Among them, the wastewater step-by-step treatment unit includes a pretreatment module, a coagulation and sedimentation module, a flotation and oil removal module, a biological treatment module and a deep treatment module, which can efficiently remove various pollutants in the cutting fluid wastewater. The effluent water quality is stable and reliable, so that the water resources in the wastewater can be recycled and reused, reducing the waste of water resources.

[0043] Specifically, the pretreatment module removes large solid impurities in the cutting fluid wastewater through a grid, and the coagulation and sedimentation module adds coagulants (such as polyaluminium chloride (PAC), polyacrylamide (PAM), etc.) to the cutting fluid wastewater to form flocs based on chemical reactions, thereby accelerating the precipitation and separation of suspended matter and colloidal substances.

[0044] The flotation oil removal module uses the adsorption effect of tiny bubbles to make light pollutants such as grease and emulsions in the wastewater float to the water surface. The light pollutants are removed by the scraping device to improve the clarity of the wastewater.

[0045] The biological treatment module adopts aerobic-anaerobic bioreactor (A / O or A2 / O process) and uses the metabolism of microorganisms to decompose organic pollutants in the wastewater into harmless substances such as carbon dioxide and water; the deep treatment module uses ultrafiltration, nanofiltration or reverse osmosis membrane technology to further remove dissolved solids, heavy metal ions and tiny particles in the wastewater to ensure that the effluent water quality meets or exceeds national emission standards.

[0046] The in-and-out online monitoring unit monitors the wastewater step-by-step treatment unit in real time, samples the cutting fluid wastewater before treatment and the clean water after treatment, collects monitoring data of various pollution parameters in the corresponding sampled liquid, and sends the monitoring data of various pollution parameters to the pollution analysis unit. This is not only conducive to the reasonable setting and regulation of the cutting fluid wastewater treatment process, but also conducive to timely emission risk warning, reducing the workload and work difficulty of operators, and improving the automation level of cutting fluid wastewater treatment operations.

[0047] The pollution analysis unit performs liquid contamination analysis based on the monitoring data of various pollution parameters in the corresponding sampled liquid, thereby obtaining the pollution monitoring value of the corresponding sampled liquid and sending the pollution monitoring value to the wastewater treatment control and analysis unit. This not only accurately feedbacks the pollution status of the input cutting fluid wastewater and the output clean water, but also provides data support for the analysis process of the wastewater treatment control and analysis unit. The specific analysis process of the pollution analysis unit is as follows:

[0048] The suspended matter content of the corresponding sampled liquid (suspended matter mainly refers to tiny particles such as metal debris, sand, and dust generated during the cutting process), grease content (mainly derived from lubricating oil, rust-proof oil, and other grease components contained in the cutting fluid), chemical additive content (mainly derived from chemical substances such as rust inhibitors, preservatives, extreme pressure agents, and defoaming agents added to the cutting fluid), heavy metal ion content (mainly derived from heavy metal ions such as copper, iron, zinc, chromium, and nickel released during the cutting process), organic matter content (mainly derived from organic solvents, surfactants, and polymers contained in the cutting fluid; these organic substances may be biotoxic or difficult to biodegrade), total nitrogen content, and total phosphorus content are collected. The pH value of the corresponding sampled liquid is also collected, and the deviation from the standard pH value is marked as the pH value;

[0049] Corresponding preset pollution weight values are assigned to the suspended matter content, grease content, chemical additive content, heavy metal ion content, organic matter content, total nitrogen content, total phosphorus content and pH value. All preset pollution weight values are positive numbers, and the more serious the harm caused by the corresponding pollution parameter, the larger the value of the preset pollution weight value corresponding to it; the suspended matter content, grease content, chemical additive content, heavy metal ion content, organic matter content, total nitrogen content, total phosphorus content and pH value are multiplied by the corresponding preset pollution weight value respectively, and the sum of the multiplication results is marked as the pollution monitoring value; it should be noted that the larger the value of the pollution monitoring value, the more serious the pollution of the corresponding sampling liquid.

[0050] The wastewater treatment control and analysis unit determines whether the wastewater treatment is abnormal through analysis, and comprehensively evaluates the treatment control performance of cutting fluid wastewater treatment within a unit time. Based on this, it generates a treatment control qualified signal or a treatment control alarm signal, and sends the treatment control qualified signal or the treatment control alarm signal to the intelligent management terminal. When the intelligent management terminal receives the treatment control alarm signal, it issues an early warning to remind the operator to conduct cause investigation and analysis and take reasonable improvement measures to ensure the treatment efficiency and treatment effect of cutting fluid wastewater. The specific analysis process of the wastewater treatment control and analysis unit is as follows:

[0051] The pollution monitoring value corresponding to the treated clean water is collected and compared with the preset pollution monitoring threshold. If the pollution monitoring value does not exceed the preset pollution monitoring threshold, the wastewater treatment is judged to be normal. If the pollution monitoring value exceeds the preset pollution monitoring threshold, the wastewater treatment is judged to be abnormal and the corresponding judgment information is sent to the intelligent management end;

[0052] When judging wastewater treatment abnormality, the corresponding pollution monitoring value is subtracted from the corresponding preset pollution monitoring threshold to obtain the pollution excess value, all pollution excess values within a unit time are averaged to obtain the pollution excess detection value, and the pollution excess value with the largest value within a unit time is marked as the pollution excess value;

[0053] The number of times the wastewater treatment is judged to be abnormal within a unit time is marked as the wastewater treatment abnormality detection value, and the wastewater treatment abnormality detection value FX, the pollution excess detection value UL and the pollution excess amplitude value NS are weighted and summed to obtain the clean water evaluation value SW through the formula SW=wq×FX+uy×UL+re×NS, wherein wq, uy and re are preset proportional coefficients with values greater than zero, and the larger the value of the clean water evaluation value SW, the worse the overall treatment effect of the cutting fluid wastewater within a unit time;

[0054] The clean water evaluation value SW is numerically compared with the preset clean water evaluation threshold. If the clean water evaluation value SW exceeds the preset clean water evaluation threshold, it indicates that the overall treatment effect of the cutting fluid wastewater per unit time is poor, and a treatment control alarm signal is generated.

[0055] Furthermore, if the clean water evaluation value does not exceed the preset clean water evaluation threshold, indicating that the overall treatment effect of the cutting fluid wastewater within the unit time is good, the moment when the wastewater treatment is judged to be abnormal is marked as a red alert moment, and the moment when the wastewater treatment is judged to be normal is marked as a normal moment. All red alert moments and normal moments within the unit time are sorted in chronological order.

[0056] The number of red alert moments between two adjacent groups of normal moments is collected and marked as the red alert duration value. The red alert duration value is compared with the preset red alert duration threshold. If the red alert duration value exceeds the preset red alert duration threshold, the corresponding red alert duration value is marked as a red alert duration outlier value. The number of red alert duration outliers per unit time is obtained and marked as the red alert risk value.

[0057] and calculating the average of all red alert persistence outliers within a unit time compared to the preset red alert duration threshold to obtain a red alert performance value, and marking the maximum value of the red alert persistence outliers within a unit time compared to the preset red alert duration threshold as the red alert excess value;

[0058] The red alert risk value LP, the red alert performance value XM, and the red alert excess value TN are weighted and calculated using the formula HX = e × LP + g × XM + k × TN to obtain the red alert assessment value HX, where e, g, and k are preset proportional coefficients with values greater than zero. The larger the value of the red alert assessment value HX, the worse the overall wastewater treatment control performance per unit time.

[0059] The red alarm evaluation value HX is numerically compared with the preset red alarm evaluation threshold. If the red alarm evaluation value HX exceeds the preset red alarm evaluation threshold, it indicates that the wastewater treatment regulation performance per unit time is generally poor, and a treatment control alarm signal is generated.

[0060] Furthermore, if the red alert evaluation value HX does not exceed the preset red alert evaluation threshold, indicating that the wastewater treatment regulation performance per unit time is generally good, then the treatment volume of the cutting fluid wastewater per unit time is obtained and marked as the wastewater volume inspection value, and the pollution monitoring value corresponding to the cutting fluid wastewater before treatment per unit time is collected and a liquid input set is established, and the mean of all pollution subsets in the liquid input set is calculated to obtain the infusion analysis value;

[0061] Several groups of preset infusion analysis value ranges are set in advance, and each group of preset infusion analysis value ranges corresponds to a group of preset wastewater detection thresholds. It should be noted that the larger the value of the preset infusion analysis value range, the smaller the value of the corresponding preset wastewater detection threshold, and the values of the preset wastewater detection thresholds are all positive numbers;

[0062] The infusion analysis value is compared with all preset infusion analysis value ranges one by one, and the preset infusion analysis value range containing the corresponding infusion analysis value is marked as the reference range; the preset wastewater volume detection threshold value corresponding to the reference range is obtained and marked as the reference threshold value, and the wastewater volume detection value is numerically compared with the corresponding reference threshold value. If the wastewater volume detection value does not exceed the reference threshold value, it indicates that the treatment efficiency of the cutting fluid wastewater per unit time is poor, and a treatment control alarm signal is generated.

[0063] Example 2: Figure 3 As shown, the difference between this embodiment and the first embodiment is that the wastewater treatment control and analysis unit is communicatively connected to the coordination influence decision unit. The wastewater treatment control and analysis unit sends a treatment control qualified signal to the coordination influence decision unit. When the coordination influence decision unit receives the treatment control qualified signal, it analyzes the coordination influence of each device in the wastewater treatment unit step by step.

[0064] Through analysis, an abnormal coordination impact signal or a normal coordination impact signal is generated and sent to the intelligent management terminal. When the intelligent management terminal receives the abnormal coordination impact signal, it issues an early warning. When the operator receives the corresponding early warning, it strengthens the equipment supervision of the wastewater step-by-step treatment unit to ensure the efficient, stable and safe operation of all equipment, and further improves the treatment efficiency and treatment effect of cutting fluid wastewater. The specific analysis process of the coordination impact decision unit is as follows:

[0065] Obtain all treatment equipment in the wastewater step-by-step treatment unit (i.e., equipment involved in each module in the wastewater step-by-step treatment unit), and mark the corresponding treatment equipment as analysis object i, where i is a natural number greater than 1;

[0066] Taking the current moment as the end moment and tracing back, an analysis period of duration T1 is set accordingly. Preferably, T1 is fifteen days. The interval between two consecutive inspections and maintenance of analysis object i within the analysis period is marked as a characteristic duration. The characteristic coefficient is obtained by calculating the average of all characteristic durations of analysis object i within the analysis period. The larger the value of the characteristic coefficient, the less timely the inspection and maintenance of analysis object i within the analysis period.

[0067] The number of failures of analysis object i during the analysis period is marked as the failure coefficient, and the production interval of analysis object i (i.e., the interval between the production date of analysis device i and the current date) is marked as the production coefficient. It should be noted that the larger the values of the failure coefficient and the production coefficient, the worse the current quality status of analysis device i.

[0068] The analysis coefficient GXi is calculated by weighted summing the characteristic coefficient Bi, the fault coefficient Ei, and the production coefficient Yi using the formula GXi = t × Bi + d × Ei + c × Yi. Here, t, d, and c are preset proportional coefficients with values greater than zero. Furthermore, a larger value of the analysis coefficient GXi indicates that it is more difficult to ensure efficient, stable, and safe operation of the analysis device i, and the greater the operational safety hazard of the analysis device i.

[0069] The analysis coefficient GXi is numerically compared with the corresponding preset analysis coefficient threshold. If the analysis coefficient GXi exceeds the corresponding preset analysis coefficient threshold, it indicates that it is difficult to ensure the efficient, stable and safe operation of the analysis device i, and the analysis object i is marked as a non-optimal object;

[0070] Obtain the proportion of non-optimal objects in the wastewater step-by-step treatment unit and mark it as a non-optimal detection value, and calculate the ratio of the analysis coefficient of the analysis object i to the corresponding preset analysis coefficient threshold to obtain the distribution value, and calculate the average distribution value of all treatment equipment to obtain the poor matching detection value;

[0071] The non-optimal match detection value and the poor match detection value are numerically compared with the preset non-optimal match detection threshold and the preset poor match detection threshold respectively. If the non-optimal match detection value or the poor match detection value exceeds the corresponding preset threshold, it indicates that it is difficult to ensure the effective coordination of various equipment in the wastewater step-by-step treatment unit, and the adverse impact on the wastewater treatment effect and treatment efficiency is relatively large, then a coordination impact abnormal signal is generated; if the non-optimal match detection value and the poor match detection value do not exceed the corresponding preset threshold, it indicates that it is conducive to ensuring the treatment effect and treatment efficiency of the cutting fluid wastewater, then a coordination impact normal signal is generated.

[0072] The working principle of the present invention is as follows: when in use, a variety of treatment technologies are integrated through the wastewater step-by-step treatment unit to remove various pollutants in the cutting fluid wastewater. The online monitoring unit samples the cutting fluid wastewater before treatment and the clean water after treatment and collects monitoring data of various pollution parameters in the corresponding sampled liquid. The pollution analysis unit performs liquid contamination analysis based on the monitoring data of various pollution parameters in the corresponding sampled liquid, and obtains the pollution monitoring value of the corresponding sampled liquid and sends it to the wastewater treatment control analysis unit. It can accurately feedback the pollution status of the input cutting fluid wastewater and the output clean water and provide data support for the analysis process of the wastewater treatment control analysis unit. The wastewater treatment control analysis unit determines whether the wastewater treatment is abnormal through analysis and accurately evaluates the treatment control performance of the cutting fluid wastewater treatment. When the treatment control alarm signal is generated, the cause investigation and analysis is carried out and reasonable improvement measures are made to ensure the treatment efficiency and treatment effect of the cutting fluid wastewater, with a high level of intelligence and automation.

[0073] The above formulas are all dimensionless and calculated by taking their numerical values. The formula is a formula for the latest real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made based on the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can well understand and use the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A cutting fluid wastewater treatment system for machine tool accessories processing, characterized in that: It includes a wastewater step-by-step treatment unit, an inlet and outlet online monitoring unit, a pollution analysis unit, a wastewater treatment control and analysis unit, and an intelligent management terminal. The wastewater step-by-step treatment unit removes various pollutants in the cutting fluid wastewater by integrating multiple treatment technologies and transmits the treated clean water. The inlet and outlet online monitoring unit samples the cutting fluid wastewater before treatment and the treated clean water, collects monitoring data of various pollution parameters in the corresponding sampled liquid, and sends the monitoring data of various pollution parameters to the pollution analysis unit. The pollution analysis unit performs liquid contamination analysis based on the monitoring data of various pollution parameters in the corresponding sampled liquid, thereby obtaining the pollution monitoring value of the corresponding sampled liquid, and sends the pollution monitoring value to the wastewater treatment control analysis unit; the wastewater treatment control analysis unit determines whether the wastewater treatment is abnormal through analysis, and comprehensively evaluates the treatment control performance of the cutting fluid wastewater treatment per unit time, thereby generating a treatment control qualified signal or a treatment control alarm signal, and sends the treatment control qualified signal or the treatment control alarm signal to the intelligent management terminal; The specific analysis process of the wastewater treatment control and analysis unit includes: The pollution monitoring value corresponding to the treated clean water is collected. If the pollution monitoring value does not exceed the preset pollution monitoring threshold, the wastewater treatment is judged to be normal. If the pollution monitoring value exceeds the preset pollution monitoring threshold, the wastewater treatment is judged to be abnormal and the corresponding judgment information is sent to the intelligent management end; When judging wastewater treatment abnormality, the corresponding pollution monitoring value is subtracted from the corresponding preset pollution monitoring threshold to obtain the pollution excess value, all pollution excess values within a unit time are averaged to obtain the pollution excess detection value, and the pollution excess value with the largest value within a unit time is marked as the pollution excess value; The number of times wastewater treatment anomalies are judged per unit time is marked as the wastewater treatment anomaly detection value, and the clean water assessment value is obtained by weighted summation of the wastewater treatment anomaly detection value, the pollution excess detection value and the pollution excess amplitude value. If the clean water assessment value exceeds the preset clean water assessment threshold, a treatment control alarm signal is generated.

2. The cutting fluid wastewater treatment system for machine tool accessories processing according to claim 1 is characterized in that: The wastewater step-by-step treatment unit includes a pretreatment module, a coagulation and sedimentation module, a flotation oil removal module, a biological treatment module and a deep treatment module.

3. The cutting fluid wastewater treatment system for machine tool accessories processing according to claim 2 is characterized in that: The pretreatment module removes large solid impurities from the cutting fluid wastewater through a screen. The coagulation and sedimentation module adds a coagulant to the cutting fluid wastewater to form flocs based on chemical reactions, accelerating the precipitation and separation of suspended matter and colloidal substances. The flotation deoiling module uses the adsorption effect of tiny bubbles to make light pollutants such as grease and emulsions in the wastewater float to the water surface, where they are removed by a scraping device. The biological treatment module uses an aerobic-anaerobic bioreactor and utilizes the metabolic action of microorganisms to decompose organic pollutants in the wastewater into harmless substances; the deep treatment module uses ultrafiltration, nanofiltration or reverse osmosis membrane technology to further remove dissolved solids, heavy metal ions and tiny particles in the wastewater.

4. The cutting fluid wastewater treatment system for machine tool accessories processing according to claim 1 is characterized in that: The specific analysis process of the pollution analysis unit is as follows: The suspended matter content, grease content, chemical additive content, heavy metal ion content, organic matter content, total nitrogen content and total phosphorus content of the corresponding sampling liquid are collected, and the pH value of the corresponding sampling liquid is collected and its deviation from the standard pH value is marked as the pH value; the suspended matter content, grease content, chemical additive content, heavy metal ion content, organic matter content, total nitrogen content, total phosphorus content and pH value are multiplied by the corresponding preset pollution weight value respectively, and the sum of the product results is marked as the pollution monitoring value.

5. The cutting fluid wastewater treatment system for machine tool accessories processing according to claim 1 is characterized in that: If the water purification evaluation value does not exceed the preset water purification evaluation threshold, the moment when the wastewater treatment is judged to be abnormal is marked as a red alert moment, and the moment when the wastewater treatment is judged to be normal is marked as a normal moment. All red alert moments and normal moments within the unit time are sorted in chronological order; The number of red alert moments between two adjacent groups of normal moments is collected and marked as the red alert duration value. The red alert duration value is compared with the preset red alert duration threshold. If the red alert duration value exceeds the preset red alert duration threshold, the corresponding red alert duration value is marked as a red alert duration outlier value. The number of red alert duration outliers per unit time is obtained and marked as the red alert risk value. and calculating the average of all red alert persistence outliers within a unit time compared to the preset red alert duration threshold to obtain a red alert performance value, and marking the maximum value of the red alert persistence outliers within a unit time compared to the preset red alert duration threshold as the red alert excess value; The red alert assessment value is obtained by weighted summing up the red alert risk value, the red alert performance value and the red alert excess value, and the red alert assessment value is numerically compared with the preset red alert assessment threshold. If the red alert assessment value exceeds the preset red alert assessment threshold, a processing and control alarm signal is generated.

6. The cutting fluid wastewater treatment system for machine tool accessories processing according to claim 5 is characterized in that: If the red alarm assessment value does not exceed the preset red alarm assessment threshold, the processing volume of cutting fluid wastewater per unit time is obtained and marked as the wastewater volume inspection value. If the wastewater volume inspection value does not exceed the reference threshold, a processing control alarm signal is generated.

7. The cutting fluid wastewater treatment system for machine tool accessories processing according to claim 1 is characterized in that: The wastewater treatment control and analysis unit is communicatively connected to the coordination influence decision unit. The wastewater treatment control and analysis unit sends the treatment control qualified signal to the coordination influence decision unit. When the coordination influence decision unit receives the treatment control qualified signal, it analyzes the coordination influence of each device in the wastewater treatment unit step by step. If the non-optimal matching detection value or the poor matching detection value exceeds the corresponding preset threshold, a coordination influence abnormal signal is generated; otherwise, a coordination influence normal signal is generated.

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