CN-121978300-A - Water quality monitoring method and system for water purification plant

CN121978300ACN 121978300 ACN121978300 ACN 121978300ACN-121978300-A

Abstract

The invention provides a water quality monitoring method and a system for a water purification plant, and relates to the technical field of water quality monitoring, wherein the method comprises the steps of acquiring monitoring data of processing equipment, flow data and water quality monitoring data at a plurality of moments of a monitoring period through sensor networks arranged at a plurality of preset positions; the method comprises the steps of obtaining treatment process data, determining flocculation effect coefficients according to the treatment process data and water quality monitoring data, determining pollution load accumulation coefficients according to treatment equipment monitoring data, treatment process data, flow data and water quality monitoring data, determining unit abnormality coefficients of all process units according to the water quality monitoring data, and monitoring and controlling according to the flocculation effect coefficients, the pollution load accumulation coefficients and the unit abnormality coefficients. According to the invention, the accuracy and the effectiveness of water quality monitoring of the water purification plant can be improved.

Inventors

NING HUIPING
ZHAO QIANG
SONG ZHENWU
WANG ZONGZHOU

Assignees

甘肃省水利水电勘测设计研究院有限责任公司

Dates

Publication Date: 20260505
Application Date: 20260409

Claims (9)

1. A water quality monitoring method for a water purification plant, comprising: Acquiring processing equipment monitoring data, flow data and water quality monitoring data at a plurality of moments of a monitoring period through a sensor network arranged at a plurality of preset positions; Acquiring processing technology data; determining flocculation effect coefficients according to the treatment process data and the water quality monitoring data; Determining a pollution load accumulation coefficient according to the processing equipment monitoring data, the processing technology data, the flow data and the water quality monitoring data; Determining unit anomaly coefficients of each process unit according to the water quality monitoring data; And monitoring and controlling according to the flocculation effect coefficient, the pollution load accumulation coefficient and the unit abnormality coefficient.
2. The water treatment plant water quality monitoring method according to claim 1, wherein determining flocculation effect coefficients based on the treatment process data and the water quality monitoring data comprises: according to the water quality monitoring data, determining the particle size of the water inlet particles and the particle size of the water outlet particles; determining the quantity percentage of the water inlet particles and the quantity percentage of the water outlet particles in each particle size interval according to the particle sizes of the water inlet particles and the water outlet particles; Determining the average water outlet particle size and the standard deviation of the water outlet particle size according to the water outlet particle size; Determining the pH value of water quality according to the water quality monitoring data; determining theoretical hydraulic retention time according to the treatment process data; Acquiring a maximum allowable pH fluctuation reference value; And determining a flocculation effect coefficient according to the maximum allowable pH fluctuation reference value, the water inlet particle quantity percentage, the water outlet particle quantity percentage, the average water outlet particle size, the standard deviation of the water outlet particle size, the water quality pH value and the theoretical hydraulic retention time.
3. The water quality monitoring method of a water purification plant according to claim 2, wherein obtaining a maximum allowable pH fluctuation reference value includes: Acquiring the pH value of the historical normal water quality in the historical normal operation period; Determining the pH fluctuation value of the historical normal water quality according to the pH value of the historical normal water quality; and determining a maximum allowable pH fluctuation reference value according to the historical normal water quality pH fluctuation value.
4. The water quality monitoring method of a water purification plant according to claim 2, wherein determining flocculation effect coefficients based on the maximum allowable pH fluctuation reference value, the inflow water particle number percentage, the outflow water particle number percentage, the average outflow water particle diameter, the outflow water particle diameter standard deviation, the water quality pH value, and the theoretical hydraulic retention time comprises: determining flocculation effect coefficient at ith moment of monitoring period , wherein, In order to set the weight value of the light source, To monitor the number percentage of inlet particles in the kth particle size interval at the ith time of the cycle, For a theoretical hydraulic dwell time, To monitor the number percentage of the water outlet particles in the kth particle size interval of the water outlet time corresponding to the ith time of the period, To monitor the pH of the water at time i of the cycle, In order to monitor the water quality pH value of the water outlet moment corresponding to the ith moment of the period, For the maximum allowable pH fluctuation reference value, In order to monitor the average water outlet particle size of the water outlet moment corresponding to the ith moment of the period, In order to monitor the standard deviation of the particle size of the water outlet particles at the water outlet moment corresponding to the ith moment of the period, K is the number of particle size intervals, K is less than or equal to K, and K and K are positive integers.
5. The water treatment plant water quality monitoring method according to claim 1, wherein determining a pollution load accumulation coefficient based on the treatment equipment monitoring data, the treatment process data, the flow rate data, and the water quality monitoring data, comprises: Determining a filtering flow according to the flow data; Determining an initial hydraulic resistance coefficient according to the treatment process data and the water quality monitoring data; determining the head loss pressure increase rate according to the monitoring data of the processing equipment; Determining effluent turbidity and inlet water floc particle size index according to the water quality monitoring data; Acquiring a particle composition correction coefficient; and determining a pollution load accumulation coefficient according to the filtering flow, the initial hydraulic resistance coefficient, the head loss pressure increase rate, the effluent turbidity, the inlet water floc particle size index and the particle composition correction coefficient.
6. The water quality monitoring method of a water purification plant according to claim 5, wherein determining a pollution load accumulation coefficient based on the filtration flow rate, the initial hydraulic resistance coefficient, the head loss pressure increase rate, the effluent turbidity, the inlet water floc particle diameter index and the particle composition correction coefficient comprises: Determining a pollution load accumulation coefficient at the ith moment of the monitoring period , wherein, In order to monitor the starting moment of the cycle, In order to monitor the i-th instant of the cycle, To monitor the head loss pressure increase rate at the t-th time of the cycle, As an initial hydraulic resistance coefficient of the hydraulic machine, To monitor the filtered flow at time t of the cycle, The correction factor is set for the composition of the particles, To monitor the particle size index of the incoming water flocs at time t of the cycle, To monitor the turbidity of the effluent at time t of the cycle.
7. The water quality monitoring method of a water purification plant according to claim 1, wherein determining the unit abnormality coefficients of each process unit based on the water quality monitoring data comprises: Determining a water outlet abnormality identification result according to the water quality monitoring data; Determining the number of process ring joints from each process unit to the effluent; determining process unit key parameters of each process unit; acquiring a process unit key parameter reference value and a process unit key parameter normal fluctuation value of each process unit; determining a maximum theoretical hydraulic propagation time and a minimum theoretical hydraulic propagation time of each process unit; And determining a unit anomaly coefficient according to the effluent anomaly identification result, the process ring number, the process unit key parameter reference value, the process unit key parameter normal fluctuation value, the maximum theoretical hydraulic propagation time and the minimum theoretical hydraulic propagation time.
8. The water quality monitoring method of a water purification plant according to claim 7, wherein determining a unit abnormality coefficient according to the effluent abnormality recognition result, the process ring number, the process unit key parameter reference value, the process unit key parameter normal fluctuation value, the maximum theoretical hydraulic propagation time and the minimum theoretical hydraulic propagation time comprises: determining a cell anomaly coefficient for a jth process cell at an ith time of a monitoring cycle Wherein if is a conditional function, max is a maximum function, In order to monitor the abnormal water outlet identification result at the ith moment of the period, , The number of process loops for the jth process unit, To monitor the minimum theoretical hydraulic propagation time of the jth process unit at the ith instant of the cycle, To monitor the maximum theoretical hydraulic propagation time of the jth process unit at the ith instant of the cycle, To monitor the process unit key parameters of the jth process unit at the t-th moment of the cycle, Is a process unit key parameter reference value of the jth process unit, The process unit key parameter normal fluctuation value of the jth process unit.
9. A water quality monitoring system for a water purification plant, adapted to perform the method of any one of claims 1-8, comprising: The monitoring data module is used for acquiring monitoring data, flow data and water quality monitoring data of the processing equipment at a plurality of moments of a monitoring period through sensor networks arranged at a plurality of preset positions; the process data module is used for acquiring processing process data; The flocculation effect module is used for determining flocculation effect coefficients according to the treatment process data and the water quality monitoring data; the pollution accumulation module is used for determining a pollution load accumulation coefficient according to the processing equipment monitoring data, the processing technology data, the flow data and the water quality monitoring data; the unit abnormality module is used for determining unit abnormality coefficients of all process units according to the water quality monitoring data; and the monitoring module is used for monitoring and controlling according to the flocculation effect coefficient, the pollution load accumulation coefficient and the unit abnormality coefficient.

Description

Water quality monitoring method and system for water purification plant Technical Field The invention relates to the technical field of water quality monitoring, in particular to a water quality monitoring method and system for a water purification plant. Background In the related art, water quality monitoring of a water purification plant can be performed by means of on-line monitoring of key indexes (such as turbidity and residual chlorine) of a water inlet and a water outlet and periodic sampling analysis in a laboratory, however, the analysis result of the related art is lagged, production adjustment cannot be guided in real time, monitoring data of each process unit (mixing, flocculation, precipitation and filtration) are relatively independent, and linkage analysis and prediction of the efficiency of the whole process chain are lacked, namely, the real-time performance, accuracy and effectiveness of the monitoring result are difficult to improve in the related art. The information disclosed in the background section of the application is only for enhancement of understanding of the general background of the application and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art. Disclosure of Invention The invention provides a water quality monitoring method and a water quality monitoring system for a water purification plant, which can solve the technical problem that the real-time performance, the accuracy and the effectiveness of a monitoring result are difficult to improve in the related technology. According to a first aspect of the present invention, there is provided a water quality monitoring method for a water purification plant, comprising: Acquiring processing equipment monitoring data, flow data and water quality monitoring data at a plurality of moments of a monitoring period through a sensor network arranged at a plurality of preset positions; Acquiring processing technology data; determining flocculation effect coefficients according to the treatment process data and the water quality monitoring data; Determining a pollution load accumulation coefficient according to the processing equipment monitoring data, the processing technology data, the flow data and the water quality monitoring data; Determining unit anomaly coefficients of each process unit according to the water quality monitoring data; And monitoring and controlling according to the flocculation effect coefficient, the pollution load accumulation coefficient and the unit abnormality coefficient. According to the invention, determining flocculation effect coefficients from the treatment process data and the water quality monitoring data comprises: according to the water quality monitoring data, determining the particle size of the water inlet particles and the particle size of the water outlet particles; determining the quantity percentage of the water inlet particles and the quantity percentage of the water outlet particles in each particle size interval according to the particle sizes of the water inlet particles and the water outlet particles; Determining the average water outlet particle size and the standard deviation of the water outlet particle size according to the water outlet particle size; Determining the pH value of water quality according to the water quality monitoring data; determining theoretical hydraulic retention time according to the treatment process data; Acquiring a maximum allowable pH fluctuation reference value; And determining a flocculation effect coefficient according to the maximum allowable pH fluctuation reference value, the water inlet particle quantity percentage, the water outlet particle quantity percentage, the average water outlet particle size, the standard deviation of the water outlet particle size, the water quality pH value and the theoretical hydraulic retention time. According to the present invention, obtaining a maximum allowable pH fluctuation reference value includes: Acquiring the pH value of the historical normal water quality in the historical normal operation period; Determining the pH fluctuation value of the historical normal water quality according to the pH value of the historical normal water quality; and determining a maximum allowable pH fluctuation reference value according to the historical normal water quality pH fluctuation value. According to the invention, the flocculation effect coefficient is determined according to the maximum allowable pH fluctuation reference value, the water inlet particle quantity percentage, the water outlet particle quantity percentage, the average water outlet particle size, the water outlet particle size standard deviation, the water quality pH value and the theoretical hydraulic retention time, and comprises the following steps: determining flocculation effect coefficient at ith moment of monitoring period , wherein,In order to set the