CN-119977014-B - Method for supervising running condition of leachate treatment equipment of garbage incineration plant

Abstract

The invention discloses a method for supervising the running condition of leachate treatment equipment in a waste incineration plant, which relates to the technical field of the running condition supervision of the leachate treatment equipment, and specifically comprises the following steps of acquiring the running information of suspended matters in each area in a sedimentation tank in real time, analyzing the running information after the running information is acquired, and respectively generating the sedimentation velocity coefficient of the suspended matters in each area and the treatment efficiency index of the sedimentation tank; and constructing a sedimentation evaluation model for the generated suspended matter sedimentation velocity coefficient of each area and the sedimentation tank treatment efficiency index, generating a sedimentation effect evaluation coefficient of each area, analyzing after the sedimentation effect evaluation coefficient is generated, evaluating the sedimentation efficiency grade of each area in the sedimentation tank, and dividing each area into a high-efficiency area, a normal-efficiency area and a low-efficiency area according to the evaluation result. The sedimentation device solves the problem of sedimentation efficiency reduction caused by fluctuation of suspended matter components, and achieves the technical effects of dynamically adjusting operation parameters in real time and optimizing the treatment efficiency of the sedimentation tank.

Inventors

• FENG XINRONG
• ZHENG WEIPING
• BIAN RONGXING
• ZHANG XIAOCHUAN

Assignees

• 青岛理工大学

Dates

Publication Date

20260512

Application Date

20250211

Claims (4)

1. 1. The method for supervising the running condition of the leachate treatment equipment of the waste incineration plant is characterized by comprising the following steps of: Determining a division scheme of a sedimentation tank, uniformly dividing the sedimentation tank into a plurality of areas, and establishing a partition monitoring frame aiming at each area according to the suspended matter characteristics and the percolate conditions in each area; acquiring suspension operation information of each area in the sedimentation tank in real time, and analyzing after acquiring, and respectively generating a suspension sedimentation velocity coefficient of each area and a sedimentation tank treatment efficiency index; The method specifically comprises the following steps: acquiring suspension operation information of each area in the sedimentation tank in real time, and preprocessing after acquiring; extracting sedimentation velocity information and processing efficiency information in suspension operation information of each area in the pretreated sedimentation tank; analyzing sedimentation velocity information and treatment efficiency information in suspension operation information of each region in the extracted sedimentation tank to respectively generate a suspension sedimentation velocity coefficient and a sedimentation tank treatment efficiency index of each region; The acquisition logic of the suspended matter sedimentation velocity coefficient of each area is as follows: extracting sedimentation velocity information in suspension operation information of each region in a sedimentation tank after pretreatment, wherein the sedimentation velocity information comprises suspension density, percolating liquid density, dynamic viscosity of percolate, average particle size of suspension and gravity acceleration of each region in the sedimentation tank at different moments in a period of time, and the suspension density, the percolating liquid density, the dynamic viscosity of percolate, the average particle size of suspension and the gravity acceleration are respectively calibrated as follows 、 、 、 And , Indicating the first place in the sedimentation tank The individual regions are within a period of time The density of the suspension at the moment in time, Indicating the first place in the sedimentation tank The individual regions are within a period of time The percolated liquid at the moment in time is tight, Indicating the first place in the sedimentation tank The individual regions are within a period of time The dynamic viscosity of the percolate at the moment, Indicating the first place in the sedimentation tank The average particle size of the suspension in each zone, Indicating the gravitational acceleration of each zone in the sedimentation tank, , , And Are all positive integers; the sedimentation velocity coefficient of suspended matters in each area is calculated, and a specific calculation formula is as follows: in the formula, Is the first A suspended matter sedimentation velocity coefficient of each zone; the acquisition logic of the sedimentation tank treatment efficiency index of each area is as follows: Extracting treatment efficiency information in suspension operation information of each area in the pretreated sedimentation tank, wherein the treatment efficiency information comprises suspension concentration and percolate flow rate of each area in the sedimentation tank at different moments in a period of time, and the suspension concentration and the percolate flow rate are respectively calibrated as follows And , Indicating the first place in the sedimentation tank The individual regions are within a period of time The concentration of the suspended matter at the moment in time, Indicating the first place in the sedimentation tank The individual regions are within a period of time The flow rate of the percolate at the moment, , , And Are all positive integers; calculating the sedimentation tank treatment efficiency index of each area, wherein a specific calculation formula is as follows: in the formula, Is the first A sedimentation tank treatment efficiency index for each zone; Constructing a sedimentation evaluation model for the generated suspended matter sedimentation velocity coefficient of each area and the sedimentation tank treatment efficiency index, generating a sedimentation effect evaluation coefficient of each area, analyzing after generation, evaluating the sedimentation efficiency grade of each area in the sedimentation tank, and dividing each area into a high-efficiency area, a normal-efficiency area and a low-efficiency area according to the evaluation result; based on the division results of all the areas, respectively adopting corresponding operation adjustment strategies for the areas with different sedimentation efficiency levels; The running state of each area and the execution effect of the operation adjustment strategy are continuously monitored, the running data of each area are fed back in real time through the system, the operation parameters are dynamically optimized, and the sedimentation evaluation model is updated regularly so as to optimize the overall treatment efficiency of the sedimentation tank.
2. 2. The method for supervising the operation condition of leachate treatment equipment of a waste incineration plant according to claim 1, wherein a sedimentation evaluation model is constructed for the generated sedimentation velocity coefficient of suspended matters and the sedimentation tank treatment efficiency index of each region, and sedimentation effect evaluation coefficients of each region are generated, specifically comprising the following steps: Collecting the suspended matter sedimentation velocity coefficient, sedimentation tank treatment efficiency index and corresponding sedimentation effect evaluation coefficient of a plurality of areas generated in the past period of time, and calibrating the suspended matter sedimentation velocity coefficient, the sedimentation tank treatment efficiency index and the corresponding sedimentation effect evaluation coefficient as follows 、 And , A number representing the suspended matter sedimentation velocity coefficient, sedimentation tank treatment efficiency index and corresponding sedimentation effect evaluation coefficient of several respective areas generated over a period of time, , Is a positive integer and forms a historical dataset from the collected data over a period of time; Selecting a multiple regression model as a sedimentation evaluation model, training through a historical data set, determining the value of a regression coefficient, and according to the formula: In the formula, 、 And Is a regression coefficient; Optimizing regression coefficients by minimizing errors between predicted and actual values, and finally determining regression coefficients 、 And Is a value of (2); inputting the suspension sedimentation velocity coefficients of each region generated in real time into the constructed sedimentation evaluation model by using the finally determined regression coefficients And sedimentation tank treatment efficiency index Generating sedimentation effect evaluation coefficients of all areas in real time 。
3. 3. The method for supervising the operation condition of leachate treatment equipment of a waste incineration plant according to claim 2, wherein the produced sedimentation effect evaluation coefficients of the respective areas are calculated And a preset precipitation effect evaluation coefficient threshold value interval Comparing, evaluating the sedimentation efficiency grade of each region in the sedimentation tank according to the comparison result, dividing each region into a high-efficiency region, a normal-efficiency region and a low-efficiency region according to the evaluation result, and specifically comparing, analyzing and dividing as follows: If it is Dividing the area into low-efficiency areas if the sedimentation efficiency level of the area in the sedimentation tank is low; If it is Dividing the area into normal efficiency areas if the sedimentation efficiency level of the area in the sedimentation tank is medium; If it is The sedimentation efficiency level of the area in the sedimentation tank is high, and the area is divided into high-efficiency areas.
4. 4. The method for supervising the operation condition of leachate treatment equipment of a waste incineration plant according to claim 3, wherein based on the division result of each area, corresponding operation adjustment strategies are respectively adopted for areas with different sedimentation efficiency levels, specifically: For a low-efficiency area with a low sedimentation efficiency level, adopting an adjusting measure to increase the residence time, enhance the stirring intensity, adjust the water flow rate and monitor the sedimentation effect after adjustment in real time; for a normal efficiency area with a sedimentation efficiency level of a middle level, the adopted operation measures are to maintain the current operation parameter setting, and only conventional monitoring is carried out without additional adjustment; For a high-efficiency area with a high sedimentation efficiency level, the optimization measures adopted are to reduce the water flow rate, reduce the stirring strength and perform conventional monitoring.

Description

Method for supervising running condition of leachate treatment equipment of garbage incineration plant Technical Field The invention relates to the technical field of monitoring of the running condition of leachate treatment equipment, in particular to a method for monitoring the running condition of the leachate treatment equipment of a waste incineration plant. Background The leachate treatment equipment is equipment for treating leachate generated in a landfill or incineration process, and the leachate is high-concentration wastewater containing a large amount of harmful substances and heavy metals, and the untreated discharge causes serious pollution to the environment. The leachate treatment facilities of the waste incineration plant generally include a leachate collection system, a physical treatment device (e.g., a filtration device), a chemical treatment device (e.g., a dosing system), a biochemical treatment device (e.g., a bioreactor), and a membrane treatment system (e.g., a reverse osmosis membrane and an ultrafiltration membrane). The equipment sequentially removes suspended matters, heavy metals, organic pollutants, soluble salts and other harmful components in the percolate in a multistage treatment mode, and finally reaches the standard for emission or recycling. The necessity of supervising the running condition of leachate treatment equipment in a waste incineration plant is that the components of the leachate are complex and changeable, and the equipment is easy to cause faults or efficiency reduction in long-term high-load operation, and if abnormal conditions of the equipment are not found and treated in time, the treatment may not reach the standard, and secondary pollution is caused. Therefore, through real-time data monitoring, fault prediction and dynamic adjustment, the high-efficiency operation of equipment can be ensured, and the stability and the environment protection of leachate treatment are ensured to reach the standard. The existing monitoring technology for the running state of leachate treatment equipment in a waste incineration plant mainly monitors equipment in an omnibearing manner in real time through a sensor network and an automatic system, firstly, in the treatment process of the leachate, running data of the equipment, such as parameters of flow, pressure, temperature, pH value, conductivity and the like, are collected through a sensor arranged at a key node, and the data are uploaded to a central control system through a data transmission system. And then, the central control system performs preprocessing on the collected original data, including denoising, missing data complement and the like, so as to ensure the accuracy and the integrity of the data. And then, analyzing the running state of the equipment in real time by utilizing a built-in algorithm model, evaluating the running efficiency and the health state of the equipment, and generating related health indexes and efficiency coefficients. Based on these analysis results, the system can predict potential failure of the device and take maintenance measures in advance. In addition, the optimal operation state of the equipment is realized by dynamically adjusting the operation parameters (such as flow, dosing amount and the like) of the equipment. If the equipment is abnormal or will fail, the system can automatically generate early warning, and feed back to an operator through a visual interface, and timely process and adjust the equipment to ensure the stability of the leachate treatment process and the standard discharge. The prior art has the following defects: in the treatment process of leachate in a waste incineration plant, when the solid suspended matter component in the leachate fluctuates due to different water inlet sources or the change of the waste component, the particle size, density and water quality conditions of the suspended matters change along with the fluctuation, and the fluctuation can directly influence the sedimentation speed of the solid suspended matters in a sedimentation tank. However, since the existing sedimentation tank monitoring system can only simply monitor the concentration of suspended matters, the change of the sedimentation speed of the suspended matters cannot be accurately predicted through real-time data, and the system lacks the capability of dynamically adjusting the operation parameters of the sedimentation tank according to the real-time fluctuation of the suspended matters. This can lead to a substantial reduction in the sedimentation efficiency in the basin when high-concentration suspended matter enters the sedimentation basin, which results in insufficient sedimentation of the suspended matter and thus increases the load on the subsequent treatment equipment. In addition, suspended matter that is not effectively removed may remain in subsequent processing equipment, causing equipment blockage or accelerated wear, increasing equipment maintenance and replac