A fully quantitative landfill leachate treatment system

Abstract

The present invention belongs to the technical field of landfill leachate treatment, and specifically is a fully quantitative landfill leachate treatment system, comprising an intelligent supervision platform, which supervises all fully quantitative treatment lines, and the intelligent supervision platform comprises an equipment inspection module, a precise line classification module and a leachate transportation decision module; the present invention comprehensively treats landfill leachate through the fully quantitative treatment lines, ensures the safety of the output liquid and reduces the pollution caused to the environment, and realizes effective detection and evaluation of all treatment equipment through the equipment inspection module, the precise line classification module reasonably analyzes and accurately classifies each group of fully quantitative treatment lines, and the leachate transportation decision module performs pollution detection and analysis on the corresponding landfill leachate before treating it and determines the fully quantitative treatment line that matches it, so as to ensure its treatment effect and treatment efficiency, has a high degree of intelligence and automation, and significantly reduces the management difficulty and workload of management personnel.

Description

Technical Field

[0001] The invention relates to the technical field of landfill leachate treatment, in particular to a fully quantitative landfill leachate treatment system. Background Art

[0002] Garbage leachate refers to a high-concentration organic wastewater formed by the water contained in the garbage itself in the landfill, the rain and snow water entering the landfill, and other water, minus the saturated water holding capacity of the garbage and the covering soil layer, and passing through the garbage layer and the covering soil layer. With the rapid development of urbanization, the problem of garbage leachate treatment is becoming increasingly serious. If the garbage leachate is discharged without treatment, it will cause irreversible harm to the surrounding environment, especially the groundwater;

[0003] Traditional landfill leachate treatment methods are mainly carried out through landfill leachate treatment lines. However, when leachate is treated through landfill leachate treatment lines, it is difficult to reasonably judge the pollution status of the landfill leachate to be treated and to accurately divide each landfill leachate treatment line. The landfill leachate to be treated cannot be automatically transported to the matching landfill leachate treatment line. The intelligence and automation levels are low, the management difficulty and workload are large, which is not conducive to ensuring the treatment efficiency and treatment effect of landfill leachate.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a fully quantitative landfill leachate treatment system, which solves the problems that the prior art is difficult to reasonably judge the pollution status of the landfill leachate to be treated and to accurately divide the various landfill leachate treatment lines, and cannot automatically transport the landfill leachate to be treated to the matching landfill leachate treatment line, has a low degree of intelligence and automation, is difficult to manage and has a large workload, and has poor treatment efficiency and treatment effect.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A fully quantitative landfill leachate treatment system includes an intelligent supervision platform, which supervises all fully quantitative treatment lines and marks the corresponding fully quantitative treatment lines as i, where i is a natural number greater than 1; the fully quantitative treatment lines are composed of pretreatment equipment, biological treatment equipment and deep treatment equipment, and are used to comprehensively treat landfill leachate; wherein the intelligent supervision platform includes an equipment inspection module, a precise line classification module, a leachate transportation decision module and a leachate treatment quality evaluation module;

[0008] The equipment inspection module inspects the processing equipment involved in the full-quantization processing line i one by one, determines the low-resistance equipment and the high-resistance equipment through the inspection, and obtains the line setting inspection value of the full-quantization processing line i, and sends the line setting inspection value of the full-quantization processing line i to the precise line classification module through the intelligent supervision platform;

[0009] The precise line classification module is used to set the line classification detection cycle, classify the fully quantitative processing line i based on the line setting inspection value and the processing performance of the fully quantitative processing line i within the line classification detection cycle, and mark the fully quantitative processing line i as an excellent processing line, a good processing line or a poor processing line, and send the classification information of the fully quantitative processing line i to the intelligent supervision platform for storage;

[0010] The leachate transport decision module is used to perform pollution detection and analysis on the corresponding garbage leachate before treating it, determine the fully quantitative treatment line that matches it through analysis, and transport the garbage leachate to the fully quantitative treatment line that matches it; the leachate treatment quality evaluation module is used to perform quality detection on the liquid output by the corresponding fully quantitative treatment line, determine whether the quality of the output liquid meets the requirements through analysis, and generate a water quality sample inspection qualified signal or a water quality sample inspection unqualified signal based on this, and send the water quality sample inspection unqualified signal to the background supervision end via the intelligent supervision platform. When the background supervision end receives the water quality sample inspection unqualified signal, it will issue a corresponding warning.

[0011] Furthermore, pretreatment equipment is used to remove large particle impurities, adjust pH and remove heavy metals in the leachate, and the pretreatment equipment includes a screen, an adjusting tank, a pH adjustment device and a heavy metal removal device; biological treatment equipment utilizes the metabolic action of microorganisms to degrade organic matter in the leachate, and the biological treatment equipment includes an activated sludge reactor, an anaerobic digester and an aerobic digester; deep treatment equipment is used to further remove pollutants in the leachate, and the deep treatment equipment includes advanced oxidation equipment, membrane separation equipment and chemical precipitation equipment.

[0012] Furthermore, the specific operation process of the equipment inspection module includes:

[0013] The production date of the corresponding processing equipment in the fully quantified processing line i is collected, and the ratio of the interval between the current date and the production date of the corresponding processing equipment to the corresponding preset life span is marked as the production inspection value, and the total actual operation time of the corresponding processing equipment within the interval between the current date and the production date is marked as the operation inspection value;

[0014] The number of failures of the corresponding processing equipment in the fully quantized processing line i during the historical operation is collected and marked as the processing failure value, and the duration of each suspension of operation due to a failure is marked as the processing stop time value, all processing stop time values ​​are summed up to obtain the suspension time table value of the corresponding processing equipment, and the number of processing stop time values ​​exceeding the corresponding preset processing stop time threshold is calculated by ratio with the processing failure value to obtain the failure high table value;

[0015] A processing inspection value is obtained by numerically calculating the production inspection value, operation inspection value, processing fault value, pause table value and fault high table value of the corresponding processing equipment in the full-quantization processing line i, and the processing inspection value is numerically compared with the preset processing inspection threshold of the corresponding processing equipment. If the processing inspection value exceeds the preset processing inspection threshold, the corresponding processing equipment in the full-quantization processing line i is marked as a high-resistance device; if the processing inspection value does not exceed the preset processing inspection threshold, the corresponding processing equipment in the full-quantization processing line i is marked as a low-resistance device.

[0016] Furthermore, after marking the corresponding processing devices in the full quantization processing line i as high-resistance devices or low-resistance devices, the number of high-resistance devices in the full quantization processing line i is collected, and the ratio of the number of high-resistance devices to the total number of devices in the full quantization processing line i is calculated to obtain a high-resistance detection value; and the processing inspection value of the corresponding processing device is ratio-calculated to the corresponding preset processing inspection threshold to obtain an inspection share value, the inspection share values ​​of all processing devices in the full quantization processing line i are averaged to obtain an inspection table value, and the high-resistance detection value in the full quantization processing line i and the inspection table value are numerically calculated to obtain a line setting inspection value.

[0017] Furthermore, the specific operation process of the precise line segmentation module includes:

[0018] The total time of the landfill leachate treatment and the volume of the landfill leachate treated during the online sub-detection cycle of the full-quantity treatment line i are collected and marked as the total liquid treatment time value and the total liquid treatment amount value, respectively, and the total liquid treatment amount value is calculated by ratio with the total liquid treatment time value to obtain the liquid treatment efficiency inspection value; and the number of times that the water quality sample inspection unqualified signal is generated during the online sub-detection cycle of the full-quantity treatment line i is collected, and the number of times that the water quality sample inspection unqualified signal is generated is calculated by ratio with the total liquid treatment time value to obtain the liquid treatment quality inspection value;

[0019] The precision line score is obtained by numerically calculating the line setting inspection value, liquid treatment efficiency inspection value and liquid treatment quality inspection value of the full quantitative processing line i, and the precision line score is numerically compared with the preset precision line score range. If the precision line score exceeds the maximum value of the preset precision line score range, the full quantitative processing line i is marked as a poor processing line; if the precision line score is within the preset precision line score range, the full quantitative processing line i is marked as a good processing line; if the precision line score does not exceed the minimum value of the preset precision line score range, the full quantitative processing line i is marked as an excellent processing line.

[0020] Furthermore, the specific analysis process of pollution detection analysis is as follows:

[0021] The heavy metal data, suspended solids data, total phosphorus data, ammonia nitrogen data, chemical oxygen demand data, pH deviation data and viscosity data of the corresponding landfill leachate are collected, and the heavy metal data, suspended solids data, total phosphorus data, ammonia nitrogen data, chemical oxygen demand data, pH deviation data and viscosity data are numerically compared with the corresponding preset thresholds. If the heavy metal data, suspended solids data, total phosphorus data, ammonia nitrogen data, chemical oxygen demand data, pH deviation data and viscosity data do not exceed the corresponding preset thresholds, the pollution symbol WF-1 is assigned thereto;

[0022] If at least one of the heavy metal data, suspended solids data, total phosphorus data, ammonia nitrogen data, chemical oxygen demand data, pH deviation data or viscosity data exceeds the corresponding preset threshold, the data exceeding the corresponding preset threshold is marked as over-range data; the heavy metal data, suspended solids data, total phosphorus data, ammonia nitrogen data, chemical oxygen demand data, pH deviation data and viscosity data are respectively set to correspond to a set of preset weight values, and the excess value of the over-range data compared with the corresponding preset threshold is marked as an over-range detection value, the over-range detection value is multiplied by the corresponding preset weight value to obtain the over-range impact value, and the over-range impact values ​​of all over-range data in the landfill leachate are summed and calculated to obtain the leachate analysis value;

[0023] The leachate analysis value is numerically compared with the preset leachate analysis threshold. If the leachate analysis value does not exceed the preset leachate analysis threshold, the pollution symbol WF-2 is assigned to it; if the leachate analysis value exceeds the preset leachate analysis threshold, the pollution symbol WF-3 is assigned to it.

[0024] Furthermore, after the corresponding landfill leachate is assigned the pollution symbol WF-1, WF-2 or WF-3, the fully quantitative treatment line matching it is determined, the inferior treatment line is used to treat the landfill leachate corresponding to the pollution symbol WF-1, the good treatment line is used to treat the landfill leachate corresponding to the pollution symbols WF-1 and WF-2, and the superior treatment line is used to treat the landfill leachate corresponding to the pollution symbols WF-1, WF-2 and WF-3.

[0025] Furthermore, the specific operation process of the leachate treatment quality assessment module is as follows:

[0026] Obtain all water quality parameters that need to be tested after the leachate is treated, and compare the test data of all water quality parameters with the corresponding data requirements one by one. If there are water quality parameters that do not meet the corresponding data requirements, a water quality sample inspection failure signal is generated; if all water quality parameters meet the corresponding data requirements, a water quality sample inspection pass signal is generated.

[0027] Furthermore, the intelligent supervision platform also includes a comprehensive planning module, which is used to set a planning cycle, collect the volume of garbage leachate to be processed in real time and mark it as the leachate waiting net value, compare the leachate waiting net value with the preset leachate waiting net threshold, and if the leachate waiting net value exceeds the preset leachate waiting net threshold, it is judged that the corresponding time is in a busy operation state;

[0028] The duration of each busy operation state is collected and marked as the busy operation value. All busy operation values ​​in the planning period are summed up to obtain the busy operation value, and the busy operation value is compared with the preset busy operation threshold. If the busy operation value exceeds the preset busy operation threshold, the corresponding busy operation value is marked as the busy operation analysis value, and the number of busy operation analysis values ​​is marked as the high busy operation frequency detection value.

[0029] The total time during which the fully quantified treatment line i has not treated the leachate during the planning period is collected and marked as the idle time, the idle time of all the fully quantified treatment lines is averaged to obtain the treatment line idle value, the planning evaluation value is obtained by numerically calculating the operation busy value, the operation high busy frequency detection value and the treatment line idle value, the planning evaluation value is numerically compared with the preset planning evaluation threshold, if the planning evaluation value exceeds the preset planning evaluation threshold, a planning emergency warning signal is generated, and the planning emergency warning signal is sent to the background supervision end via the intelligent supervision platform, and the background supervision end issues a corresponding warning when receiving the planning emergency warning signal.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] 1. In the present invention, the landfill leachate is comprehensively treated through the full-quantity treatment line to ensure the safety of the output liquid and reduce the pollution to the environment. The equipment inspection module realizes effective detection and evaluation of all treatment equipment. The precise line classification module reasonably analyzes and accurately classifies each group of full-quantity treatment lines. The leachate transportation decision module performs pollution detection and analysis on the corresponding landfill leachate before treating it and determines the full-quantity treatment line that matches it, ensuring its treatment effect and efficiency. The degree of intelligence and automation is high, which significantly reduces the management difficulty and workload of management personnel;

[0032] 2. In the present invention, the quality of the liquid output by the corresponding full-quantity treatment line is tested through the leachate treatment quality evaluation module, and whether the quality of the output liquid meets the requirements is determined by analysis. When a water quality sample inspection failure signal is generated, a cause investigation is conducted and corresponding improvement measures are taken to effectively reduce the pollution of the environment caused by the discharged liquid. The overall planning module is used for analysis to accurately determine the treatment capacity of the garbage leachate. After the planning emergency warning signal is generated, the corresponding equipment is upgraded or the full-quantity treatment line is added in time to improve the treatment efficiency, which further improves the degree of intelligence and reduces the management difficulty of management personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0034] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0035] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0037] Embodiment 1: Figure 1 As shown, a fully quantitative landfill leachate treatment system proposed by the present invention includes an intelligent supervision platform, which supervises all fully quantitative treatment lines, and marks the corresponding fully quantitative treatment lines as i, where i is a natural number greater than 1; the fully quantitative treatment line is composed of pretreatment equipment, biological treatment equipment and deep treatment equipment, and is used to comprehensively treat the landfill leachate, so as to achieve efficient treatment of the landfill leachate and fully quantitative compliance, ensure the safety of the output liquid and reduce the pollution caused to the environment;

[0038] It should be noted that pretreatment equipment is used to remove large particle impurities, adjust pH and remove heavy metals in the leachate. Pretreatment equipment includes screens, regulating tanks, pH adjustment equipment and heavy metal removal equipment. Biological treatment equipment uses the metabolic action of microorganisms to degrade organic matter in the leachate. Biological treatment equipment includes activated sludge reactors (such as sequencing batch reactors SBR, oxidation ditches, etc.), anaerobic digesters and aerobic digesters. Deep treatment equipment is used to further remove pollutants in the leachate. Deep treatment equipment includes advanced oxidation equipment (such as ozone oxidation, hydrogen peroxide oxidation, etc.), membrane separation equipment (such as ultrafiltration, nanofiltration, reverse osmosis, etc.) and chemical precipitation equipment.

[0039] Among them, the intelligent supervision platform includes equipment inspection module, precise line classification module, leachate delivery decision module and leachate treatment quality evaluation module; the equipment inspection module inspects the processing equipment involved in the full-quantity processing line i one by one, determines the low-resistance equipment and the high-resistance equipment through inspection and obtains the line setting inspection value of the full-quantity processing line i, and sends the line setting inspection value of the full-quantity processing line i to the precise line classification module through the intelligent supervision platform, which can not only realize the effective detection and evaluation of all processing equipment, but also provide data support for the analysis process of the precise line classification module to ensure the accuracy of its analysis results; the specific operation process of the equipment inspection module is as follows:

[0040] The production date of the corresponding processing equipment in the fully quantified processing line i is collected, and the ratio of the interval between the current date and the production date of the corresponding processing equipment to the corresponding preset life span is marked as the production inspection value, wherein the larger the value of the production inspection value is, the closer the service life of the corresponding processing equipment is to the end; and the total actual operation time of the corresponding processing equipment within the interval between the current date and the production date is marked as the operation inspection value;

[0041] The number of failures of the corresponding processing equipment in the fully quantized processing line i during the historical operation is collected and marked as the processing failure value, and the duration of each suspension of operation due to a failure is collected and marked as the processing stop time value, all the processing stop time values ​​are summed up to obtain the suspension time table value of the corresponding processing equipment, and the processing stop time value is numerically compared with the corresponding preset processing stop time threshold, and the number of processing stop time values ​​exceeding the corresponding preset processing stop time threshold is calculated by ratio with the processing failure value to obtain the failure high table value;

[0042] The production inspection value FSi, operation inspection value FYi, processing failure value FKi, pause table value FWi and failure high table value FPi of the corresponding processing equipment in the full-quantization processing line i are numerically calculated by the formula FXi=a1*FSi+(a2*FYi) / a1+a3*FKi+a4*FWi+a5*FPi to obtain the processing inspection value FXi, wherein a1, a2, a3, a4, a5 are preset proportional coefficients, and the values ​​of a1, a2, a3, a4, a5 are all greater than zero; and the larger the value of the processing inspection value FXi, the worse the equipment condition of the corresponding processing equipment;

[0043] The processing inspection value FXi is numerically compared with the preset processing inspection threshold of the corresponding processing device. If the processing inspection value FXi exceeds the preset processing inspection threshold, it indicates that the equipment condition of the corresponding processing device is poor, and the corresponding processing device in the full quantization processing line i is marked as a high-resistance device; if the processing inspection value FXi does not exceed the preset processing inspection threshold, it indicates that the equipment condition of the corresponding processing device is good, and the corresponding processing device in the full quantization processing line i is marked as a low-resistance device.

[0044] Furthermore, after marking the corresponding processing devices in the full quantization processing line i as high-resistance devices or low-resistance devices, the number of high-resistance devices in the full quantization processing line i is collected, and the ratio of the number of high-resistance devices to the total number of devices in the full quantization processing line i is calculated to obtain a high-resistance detection value; and the processing inspection value of the corresponding processing device is ratio-calculated to the corresponding preset processing inspection threshold to obtain an inspection share value, and the inspection share values ​​of all processing devices in the full quantization processing line i are averaged to obtain an inspection table value, and the high-resistance detection value GYi in the full quantization processing line i and the inspection table value GKi are numerically calculated by the formula GXi=ty1*GYi+ty2*GKi to obtain a line setting inspection value GXi; wherein ty1 and ty2 are preset proportional coefficients, ty1>ty2>0; and, the larger the numerical value of the line setting inspection value GXi, the worse the overall operating performance of the full quantization processing line i.

[0045] The precise line classification module is used to set the line classification detection cycle. Preferably, the line classification detection cycle is thirty days. Based on the line setting inspection value and the processing performance of the fully quantitative processing line i within the online classification detection cycle, it is graded, and the fully quantitative processing line i is marked as an excellent processing line, a good processing line or a poor processing line. The grading information of the fully quantitative processing line i is sent to the intelligent supervision platform for storage, which can not only realize the reasonable analysis and precise grading of each group of fully quantitative processing lines, but also help to automatically and reasonably transport the landfill leachate in the future. The specific operation process of the precise line classification module is as follows:

[0046] The total time of the landfill leachate treatment and the volume of the landfill leachate treated during the online detection period of the full-quantity treatment line i are collected and marked as the total liquid treatment time value and the total liquid treatment amount value, respectively. The total liquid treatment amount value is calculated by ratio with the total liquid treatment time value to obtain the liquid treatment efficiency inspection value; wherein, the larger the value of the liquid treatment efficiency inspection value is, the higher the treatment efficiency of the full-quantity treatment line i during the online detection period is; and the number of times that the water quality sample inspection unqualified signal is generated during the online detection period of the full-quantity treatment line i is collected, and the number of times that the water quality sample inspection unqualified signal is generated is calculated by ratio with the total liquid treatment time value to obtain the liquid treatment quality inspection value, wherein, the larger the value of the liquid treatment quality inspection value is, the worse the treatment effect of the full-quantity treatment line i during the online detection period is;

[0047] The line setting inspection value WSi, liquid treatment efficiency inspection value WYi and liquid treatment quality inspection value WKi of the full quantitative treatment line i are numerically calculated by the formula WPi=(fy1*WSi+fy3*WKi) / (fy2*WYi+fy1) to obtain the precise line score WPi, wherein fy1, fy2, fy3 are preset proportional coefficients, and the values ​​of fy1, fy2, fy3 are all positive numbers; and the larger the value of the precise line score WPi is, the worse the operating condition of the full quantitative treatment line i is overall, and the more unfavorable it is to ensure the treatment effect and efficiency of the landfill leachate;

[0048] The precision line score WPi is numerically compared with the preset precision line score range. If the precision line score WPi exceeds the maximum value of the preset precision line score range, it indicates that the overall operation condition of the full quantitative processing line i is poor, and the full quantitative processing line i is marked as an inferior processing line; if the precision line score WPi is within the preset precision line score range, it indicates that the overall operation condition of the full quantitative processing line i is moderate, and the full quantitative processing line i is marked as a good processing line; if the precision line score WPi does not exceed the minimum value of the preset precision line score range, it indicates that the overall operation condition of the full quantitative processing line i is good, and the full quantitative processing line i is marked as an excellent processing line.

[0049] The leachate delivery decision module is used to conduct pollution detection and analysis on the corresponding landfill leachate before treating it. Through analysis, the fully-quantified treatment line that matches it is determined, and the landfill leachate is delivered to the fully-quantified treatment line that matches it, so as to realize the reasonable delivery of landfill leachate, ensure its treatment effect and efficiency, improve the intelligence and automation of landfill leachate treatment, and significantly reduce the management difficulty of managers. The specific analysis process of pollution detection and analysis is as follows:

[0050] The heavy metal data, suspended matter data, total phosphorus data, ammonia nitrogen data, chemical oxygen demand data, pH deviation data and viscosity data of the corresponding landfill leachate are collected, wherein the heavy metal data is a data value indicating the concentration of heavy metal ions in the landfill leachate, the suspended matter data is a data value indicating the concentration of suspended particles in the landfill leachate, the total phosphorus data is a data value indicating the phosphorus content in the landfill leachate, and the ammonia nitrogen data is a data value indicating the ammonia nitrogen concentration in the landfill leachate; the chemical oxygen demand data reflects the ability of organic matter in the water body to be decomposed by microorganisms, that is, the data value indicating the organic matter content; the pH deviation data is a data value indicating the deviation of the pH value of the landfill leachate from the median of the preset pH value range, and the viscosity data is a data value indicating the viscosity of the landfill leachate;

[0051] The heavy metal data, suspended solids data, total phosphorus data, ammonia nitrogen data, chemical oxygen demand data, pH deviation data and viscosity data are numerically compared with the corresponding preset thresholds. If the heavy metal data, suspended solids data, total phosphorus data, ammonia nitrogen data, chemical oxygen demand data, pH deviation data and viscosity data do not exceed the corresponding preset thresholds, it indicates that the pollution of the landfill leachate is relatively light and easier to treat, and the pollution symbol WF-1 is assigned to it;

[0052] If at least one of the heavy metal data, suspended solids data, total phosphorus data, ammonia nitrogen data, chemical oxygen demand data, pH deviation data or viscosity data exceeds the corresponding preset threshold, the data exceeding the corresponding preset threshold is marked as over-amplitude data; and the heavy metal data, suspended solids data, total phosphorus data, ammonia nitrogen data, chemical oxygen demand data, pH deviation data and viscosity data are respectively set to correspond to a set of preset weight values, wherein the values ​​of the preset weight values ​​are all greater than zero; the excess value of the over-amplitude data compared to the corresponding preset threshold is marked as an over-amplitude detection value, the over-amplitude detection value is multiplied by the corresponding preset weight value to obtain the over-amplitude impact value, and the over-amplitude impact values ​​of all over-amplitude data in the landfill leachate are summed and calculated to obtain the leachate analysis value;

[0053] It should be noted that the larger the value of the leachate analysis value, the more serious the pollution condition of the garbage leachate, and the more difficult it is to effectively treat the garbage treatment liquid; the leachate analysis value is compared with the preset leachate analysis threshold value. If the leachate analysis value does not exceed the preset leachate analysis threshold value, it indicates that the pollution condition of the garbage leachate is relatively serious, and the pollution symbol WF-2 is assigned to it; if the leachate analysis value exceeds the preset leachate analysis threshold value, it indicates that the pollution condition of the garbage leachate is extremely serious, and the pollution symbol WF-3 is assigned to it.

[0054] Furthermore, after the corresponding landfill leachate is assigned the pollution symbol WF-1, WF-2 or WF-3, the fully quantitative treatment line that matches it is determined. The inferior treatment line is used to treat the landfill leachate corresponding to the pollution symbol WF-1, the good treatment line is used to treat the landfill leachate corresponding to the pollution symbols WF-1 and WF-2, and the superior treatment line is used to treat the landfill leachate corresponding to the pollution symbols WF-1, WF-2 and WF-3, thereby realizing the reasonable transportation of the landfill leachate, with a high degree of intelligence and automation, reducing the workload of management personnel and improving the treatment effect and efficiency of the landfill leachate.

[0055] The leachate treatment quality evaluation module is used to test the quality of the liquid output by the corresponding full-quantity treatment line, and to determine whether the quality of the output liquid meets the requirements through analysis, and to generate a water quality sample inspection qualified signal or a water quality sample inspection unqualified signal, and send the water quality sample inspection unqualified signal to the background supervision end through the intelligent supervision platform. When the background supervision end receives the water quality sample inspection unqualified signal, it will issue a corresponding warning. When the management personnel receive the corresponding warning, they should promptly investigate the cause and take corresponding improvement measures, such as secondary treatment of the output liquid, so as to effectively reduce the pollution caused by the discharged liquid to the environment; the specific operation process of the leachate treatment quality evaluation module is as follows:

[0056] Obtain all water quality parameters that need to be tested after the leachate is treated (such as transparency, pH value, heavy metal concentration, etc.), and compare the test data of all water quality parameters with the corresponding data requirements one by one, for example, whether the heavy metal concentration is lower than the corresponding data threshold, whether the pH value is within the corresponding data range, etc.; if there are water quality parameters that do not meet the corresponding data requirements, indicating that the corresponding treatment process does not meet the standards and the treated liquid does not meet the discharge requirements, then a water quality sample inspection failure signal is generated; if all water quality parameters meet the corresponding data requirements, indicating that the corresponding treatment process meets the standards and the treated liquid meets the discharge requirements, then a water quality sample inspection pass signal is generated.

[0057] Embodiment 2: Figure 2 As shown, the difference between this embodiment and embodiment 1 is that the intelligent supervision platform further includes a comprehensive planning module, which is used to set a planning period, preferably, the planning period is forty-five days; the volume of the garbage leachate to be processed is collected in real time and marked as the leachate waiting net value, the leachate waiting net value is compared with the preset leachate waiting net threshold, if the leachate waiting net value exceeds the preset leachate waiting net threshold, it indicates that there is a large amount of garbage leachate waiting to be processed at the corresponding time, then it is judged that the corresponding time is in a busy operation state;

[0058] The duration of each busy operation state is collected and marked as the busy operation value. All busy operation values ​​in the planning period are summed up to obtain the busy operation value, and the busy operation value is compared with the preset busy operation threshold. If the busy operation value exceeds the preset busy operation threshold, the corresponding busy operation value is marked as the busy operation analysis value, and the number of busy operation analysis values ​​is marked as the high busy operation frequency detection value.

[0059] The total time that the fully quantified treatment line i has not been used for leachate treatment within the planning period is collected and marked as the air transport time, and the air transport time of all fully quantified treatment lines is averaged to obtain the treatment line idling value, and the operation busyness value RF, the operation high busyness frequency detection value RK and the treatment line idling value RS are numerically calculated by the formula RX=(ew1*RF+ew2*RK) / (ew3*RS+1) to obtain the planning evaluation value RX; wherein ew1, ew2, and ew3 are preset proportional coefficients, ew2>ew1>ew3>0; and the larger the numerical value of the planning evaluation value RX, the more insufficient the treatment capacity of the leachate is;

[0060] The planning evaluation value RX is numerically compared with the preset planning evaluation threshold. If the planning evaluation value RX exceeds the preset planning evaluation threshold, indicating that the treatment capacity of the landfill leachate is insufficient, a planning emergency warning signal is generated, and the planning emergency warning signal is sent to the background supervision end via the intelligent supervision platform. The background supervision end issues a corresponding warning when receiving the planning emergency warning signal. After receiving the warning, the management personnel need to promptly upgrade the corresponding equipment or increase the full-quantity processing line to improve the processing efficiency, so as to ensure the subsequent processing capacity, further improve the degree of intelligence and reduce the management difficulty of the management personnel.

[0061] The working principle of the present invention is as follows: when in use, the landfill leachate is comprehensively treated through the full-quantity treatment line to achieve efficient treatment and full-quantity compliance of the landfill leachate, ensure the safety of the output liquid and reduce the pollution to the environment, and the processing equipment involved in the full-quantity treatment line i is inspected one by one through the equipment inspection module, and the low-resistance equipment and the high-resistance equipment are determined through the inspection and the line setting inspection value of the full-quantity treatment line i is obtained, so as to achieve effective detection and evaluation of all processing equipment, and the precise line classification module classifies the landfill leachate based on the line setting inspection value and the processing performance of the full-quantity treatment line i within the online classification detection cycle, so as to achieve reasonable analysis and precise classification of each group of full-quantity treatment lines, and the leachate transportation decision module performs pollution detection and analysis on the corresponding landfill leachate before treating it, and determines the full-quantity treatment line that matches it through analysis, and transports the landfill leachate to the full-quantity treatment line that matches it, so as to achieve reasonable transportation of the landfill leachate, ensure its treatment effect and treatment efficiency, improve the intelligence and automation of landfill leachate treatment, and significantly reduce the management difficulty and workload of management personnel.

[0062] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. 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 explain 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 according to 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 understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A fully quantitative landfill leachate treatment system, characterized in that: Including an intelligent supervision platform, which supervises all fully quantized processing lines, and marks the corresponding fully quantized processing lines as i, where i is a natural number greater than 1; The full-scale treatment line consists of pretreatment equipment, biological treatment equipment and deep treatment equipment, and is used to comprehensively treat landfill leachate. The intelligent supervision platform includes equipment inspection module, precise line classification module, leachate transportation decision module and leachate treatment quality evaluation module. The equipment inspection module inspects the processing equipment involved in the full-quantization processing line i one by one, determines the low-resistance equipment and the high-resistance equipment through the inspection, and obtains the line setting inspection value of the full-quantization processing line i, and sends the line setting inspection value of the full-quantization processing line i to the precise line classification module through the intelligent supervision platform; The precise line classification module is used to set the line classification detection cycle, classify the fully quantitative processing line i based on the line setting inspection value and the processing performance of the fully quantitative processing line i within the line classification detection cycle, and mark the fully quantitative processing line i as an excellent processing line, a good processing line or a poor processing line, and send the classification information of the fully quantitative processing line i to the intelligent supervision platform for storage; The leachate delivery decision module is used to perform pollution detection and analysis on the corresponding garbage leachate before processing it, determine the fully-quantitative treatment line that matches it through analysis, and transport the garbage leachate to the fully-quantitative treatment line that matches it; the leachate treatment quality evaluation module is used to perform quality detection on the liquid output by the corresponding fully-quantitative treatment line, determine whether the quality of the output liquid meets the requirements through analysis, and generate a water quality sample inspection qualified signal or a water quality sample inspection unqualified signal based on this, and send the water quality sample inspection unqualified signal to the background supervision end through the intelligent supervision platform. When the background supervision end receives the water quality sample inspection unqualified signal, it will issue a corresponding warning; The specific operation process of the equipment inspection module includes: The production date of the corresponding processing equipment in the fully quantified processing line i is collected, and the ratio of the interval between the current date and the production date of the corresponding processing equipment to the corresponding preset life span is marked as the production inspection value, and the total actual operation time of the corresponding processing equipment within the interval between the current date and the production date is marked as the operation inspection value; The number of failures of the corresponding processing equipment in the fully quantized processing line i during the historical operation is collected and marked as the processing failure value, and the duration of each suspension of operation due to a failure is marked as the processing stop time value, all processing stop time values ​​are summed up to obtain the suspension time table value of the corresponding processing equipment, and the number of processing stop time values ​​exceeding the corresponding preset processing stop time threshold is calculated by ratio with the processing failure value to obtain the failure high table value; The production inspection value FSi, operation inspection value FYi, processing failure value FKi, pause table value FWi and failure high table value FPi of the corresponding processing equipment in the full-quantization processing line i are numerically calculated by the formula FXi=a1*FSi+(a2*FYi) / a1+a3*FKi+a4*FWi+a5*FPi to obtain the processing inspection value FXi, where a1, a2, a3, a4 and a5 are preset proportional coefficients, and the values ​​of a1, a2, a3, a4 and a5 are all greater than zero; Compare the processing inspection value with the preset processing inspection threshold of the corresponding processing device, and if the processing inspection value exceeds the preset processing inspection threshold, mark the corresponding processing device in the full quantization processing line i as a high resistance device; if the processing inspection value does not exceed the preset processing inspection threshold, mark the corresponding processing device in the full quantization processing line i as a low resistance device; After marking the corresponding processing device in the full quantization processing line i as a high resistance device or a low resistance device, the number of high resistance devices in the full quantization processing line i is collected, and the number of high resistance devices is calculated by ratio with the total number of devices in the full quantization processing line i to obtain a high resistance detection value; and the processing inspection value of the corresponding processing device is calculated by ratio with the corresponding preset processing inspection threshold to obtain an inspection percentage value, and the inspection percentage values ​​of all processing devices in the full quantization processing line i are averaged to obtain an inspection table value; The high-resistance detection value GYi in the full quantization processing line i and the test table analysis value GKi are numerically calculated using the formula GXi=ty1*GYi+ty2*GKi to obtain the line setting test value GXi; wherein ty1 and ty2 are preset proportional coefficients, ty1>ty2>0.

2. A fully quantitative landfill leachate treatment system according to claim 1, characterized in that: The pretreatment equipment is used to remove large particle impurities, adjust pH value and remove heavy metals in the leachate. The pretreatment equipment includes a grid, an adjustment tank, a pH adjustment device and a heavy metal removal device; Biological treatment equipment uses the metabolic action of microorganisms to degrade organic matter in the leachate. Biological treatment equipment includes activated sludge reactors, anaerobic digesters and aerobic digesters. Deep treatment equipment is used to further remove pollutants in the leachate. Deep treatment equipment includes advanced oxidation equipment, membrane separation equipment and chemical precipitation equipment.

3. A fully quantitative landfill leachate treatment system according to claim 1, characterized in that: The specific operation process of the precise line segmentation module includes: The total time of the landfill leachate treatment and the volume of the landfill leachate treated during the online sub-detection cycle of the full-quantity treatment line i are collected and marked as the total liquid treatment time value and the total liquid treatment amount value, respectively, and the total liquid treatment amount value is calculated by ratio with the total liquid treatment time value to obtain the liquid treatment efficiency inspection value; and the number of times that the water quality sample inspection unqualified signal is generated during the online sub-detection cycle of the full-quantity treatment line i is collected, and the number of times that the water quality sample inspection unqualified signal is generated is calculated by ratio with the total liquid treatment time value to obtain the liquid treatment quality inspection value; The precision line score is obtained by numerically calculating the line setting inspection value, liquid treatment efficiency inspection value and liquid treatment quality inspection value of the full quantitative processing line i. If the precision line score exceeds the maximum value of the preset precision line score range, the full quantitative processing line i is marked as a poor processing line; if the precision line score is within the preset precision line score range, the full quantitative processing line i is marked as a good processing line; if the precision line score does not exceed the minimum value of the preset precision line score range, the full quantitative processing line i is marked as an excellent processing line.

4. A fully quantitative landfill leachate treatment system according to claim 1, characterized in that: The specific analysis process of pollution detection analysis is as follows: The heavy metal data, suspended solids data, total phosphorus data, ammonia nitrogen data, chemical oxygen demand data, pH deviation data and viscosity data of the corresponding landfill leachate are collected. If the heavy metal data, suspended solids data, total phosphorus data, ammonia nitrogen data, chemical oxygen demand data, pH deviation data and viscosity data do not exceed the corresponding preset thresholds, the pollution symbol WF-1 is assigned to it; If at least one of the heavy metal data, suspended solids data, total phosphorus data, ammonia nitrogen data, chemical oxygen demand data, pH deviation data or viscosity data exceeds the corresponding preset threshold, the data exceeding the corresponding preset threshold will be marked as excessive data; Preset heavy metal data, suspended solids data, total phosphorus data, ammonia nitrogen data, chemical oxygen demand data, pH deviation data and viscosity data to correspond to a set of preset weight values ​​respectively; The excess value of the over-amplitude data compared with the corresponding preset threshold is marked as an over-amplitude detection value, the over-amplitude detection value is multiplied by the corresponding preset weight value to obtain the over-amplitude impact value, and the over-amplitude impact values ​​of all over-amplitude data in the landfill leachate are summed up to obtain the leachate analysis value; If the leachate analysis value does not exceed the preset leachate analysis threshold, it is assigned the pollution symbol WF-2; if the leachate analysis value exceeds the preset leachate analysis threshold, it is assigned the pollution symbol WF-3.

5. A fully quantitative landfill leachate treatment system according to claim 4, characterized in that: After the corresponding leachate is assigned pollution symbols WF-1, WF-2 or WF-3, the fully quantitative treatment line that matches it is determined. The inferior treatment line is used to treat the leachate corresponding to the pollution symbol WF-1, the good treatment line is used to treat the leachate corresponding to the pollution symbols WF-1 and WF-2, and the superior treatment line is used to treat the leachate corresponding to the pollution symbols WF-1, WF-2 and WF-3.

6. A fully quantitative landfill leachate treatment system according to claim 1, characterized in that: The specific operation process of the leachate treatment quality assessment module is as follows: Obtain all water quality parameters that need to be tested after the leachate is treated, and compare the test data of all water quality parameters with the corresponding data requirements one by one. If there are water quality parameters that do not meet the corresponding data requirements, a water quality sample inspection failure signal is generated; if all water quality parameters meet the corresponding data requirements, a water quality sample inspection pass signal is generated.

7. The fully quantitative landfill leachate treatment system according to claim 1 is characterized in that: The intelligent supervision platform also includes a comprehensive planning module, which is used to set a planning cycle, collect the volume of garbage leachate to be processed in real time and mark it as the leachate waiting net value, compare the leachate waiting net value with the preset leachate waiting net threshold, and if the leachate waiting net value exceeds the preset leachate waiting net threshold, it is judged that the corresponding time is in a busy operation state; The duration of each busy operation state is collected and marked as the busy operation value. All busy operation values ​​in the planning period are summed up to obtain the busy operation value, and the busy operation value is compared with the preset busy operation threshold. If the busy operation value exceeds the preset busy operation threshold, the corresponding busy operation value is marked as the busy operation analysis value, and the number of busy operation analysis values ​​is marked as the high busy operation frequency detection value. The total time during which the fully quantified treatment line i has not treated the leachate during the planning period is collected and marked as the idle time, and the idle time of all the fully quantified treatment lines is averaged to obtain the treatment line idle value, and the planning evaluation value is obtained by numerically calculating the operation busy value, the operation high busy frequency detection value and the treatment line idle value. If the planning evaluation value exceeds the preset planning evaluation threshold, a planning emergency warning signal is generated, and the planning emergency warning signal is sent to the background supervision end via the intelligent supervision platform. When the background supervision end receives the planning emergency warning signal, a corresponding warning is issued.

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