A monitoring and treatment system for domestic sewage at construction sites

Abstract

The present invention relates to the technical field of water conservancy engineering, and specifically to a monitoring and treatment system for domestic sewage at a construction site. First, the monitoring data of the sedimentation tank, pipeline and sewage treatment stage are obtained; then, the sewage inflow, sewage flow rate, temperature data and sludge depth data of the sedimentation tank are analyzed to obtain the sedimentation tank monitoring value; the water quality data of the treated water is evaluated to obtain the sewage treatment evaluation value; the sewage treatment evaluation value is corrected using the flow rate data, ambient temperature data and sewage treatment equipment aging data in the sewage treatment process to obtain the sewage treatment monitoring value; then, the multi-sensor data of the sewage pipeline is compared with the corresponding standard value to obtain the pipeline leakage monitoring value; finally, the monitoring information of the sedimentation tank is input into the sedimentation tank temperature prediction model to obtain the temperature adjustment weight coefficient; the temperature adjustment weight coefficient is used to adjust the current sedimentation tank temperature.

Description

Technical Field

[0001] The invention relates to the technical field of water conservancy engineering, and in particular to a monitoring and processing system for domestic sewage at a construction site. Background Art

[0002] The domestic sewage from construction sites mainly comes from the daily wastewater of construction site employees, such as washing drainage, temporary toilet drainage and canteen drainage, etc.; construction sites are generally located around residential buildings. If the domestic sewage generated from construction sites is not treated in a timely and effective manner, it will not only affect the daily work and physical health of the construction site employees, but also pollute the surrounding ecological environment, and thus pose a threat to the life and health of residents living near the construction site. Therefore, it is essential to monitor and treat the domestic sewage from construction sites.

[0003] At present, the existing technology still has shortcomings in the monitoring and treatment of domestic sewage at construction sites. On the one hand, the existing technology monitors the sewage flow and sewage concentration during the treatment of domestic sewage at construction sites, and does not consider the impact of temperature changes on sewage treatment. On the other hand, the existing technology does not monitor the leakage of sewage during pipeline transportation, thereby reducing the reliability and accuracy of monitoring and treating domestic sewage at construction sites.

[0004] Therefore, a monitoring and treatment system for domestic sewage in construction sites is proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a monitoring and treatment system for domestic sewage at a construction site. First, the monitoring data of the sedimentation tank, pipeline and sewage treatment stage are obtained; then, the sewage inflow, sewage flow rate, temperature data and sludge depth data of the sedimentation tank are analyzed to obtain the sedimentation tank monitoring value; the water quality data of the treated water is evaluated to obtain the sewage treatment evaluation value; the sewage treatment evaluation value is corrected using the flow rate data, ambient temperature data and sewage treatment equipment aging data in the sewage treatment process to obtain the sewage treatment monitoring value; then, the multi-sensor data of the sewage pipeline is compared with the corresponding standard value to obtain the pipeline leakage monitoring value; finally, the monitoring information of the sedimentation tank is input into the sedimentation tank temperature prediction model to obtain the temperature adjustment weight coefficient; the temperature adjustment weight coefficient is used to adjust the current sedimentation tank temperature.

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

[0007] A monitoring and treatment system for domestic sewage at a construction site, comprising:

[0008] The system control unit is used to control the start, pause and stop of the system;

[0009] The data acquisition unit is used to obtain the sewage inflow, sewage flow rate, temperature data and sludge depth data of the sedimentation tank; collect multi-sensor data of the pipeline; obtain the flow rate data, ambient temperature data and sewage treatment equipment aging data during sewage treatment and sewage quality data after sewage treatment;

[0010] The sedimentation tank monitoring unit is used to analyze the sewage inflow, the sewage flow rate, the temperature data and the sludge depth data of the sedimentation tank to obtain the sedimentation tank monitoring value;

[0011] The sewage treatment monitoring unit is used to evaluate the sewage water quality data to obtain a sewage treatment evaluation value; use the flow rate data, the ambient temperature data and the sewage treatment equipment aging data to correct the sewage treatment evaluation value to obtain a sewage treatment monitoring value;

[0012] The pipeline leakage monitoring unit is used to compare the multi-sensor data of the pipeline with the standard value of the corresponding data to obtain the pipeline leakage monitoring value;

[0013] The sedimentation tank temperature adjustment unit is used to input the monitoring information of the sedimentation tank into the sedimentation tank temperature prediction model to obtain a temperature adjustment weight coefficient; and use the temperature adjustment weight coefficient to adjust the current sedimentation tank temperature;

[0014] The early warning prompt unit is used to output early warning prompt information.

[0015] Furthermore, the sedimentation tank monitoring unit is used to analyze the sewage inflow, the sewage flow rate, the temperature data and the sludge depth data of the sedimentation tank, and the specific implementation process of obtaining the sedimentation tank monitoring value includes:

[0016] Obtain the sewage inflow, sewage flow rate, temperature data and sludge depth data of the sedimentation tank;

[0017] Compare the sewage inflow volume, the sewage flow rate and the temperature data with the standard value of the inflow volume, the standard value of the flow rate and the standard value of the temperature respectively to obtain the sewage sedimentation impact value;

[0018] The sewage sedimentation impact value and the sludge depth data are evaluated to obtain the sedimentation tank monitoring value.

[0019] Furthermore, the sewage water quality data includes: pH value, oil concentration, chemical oxygen demand, ammonia nitrogen concentration and dissolved oxygen concentration.

[0020] Furthermore, the sewage treatment monitoring unit is used to evaluate the sewage water quality data, and the specific implementation process of obtaining the sewage treatment evaluation value includes:

[0021] Obtain sewage quality data after sewage treatment;

[0022] Calculate the difference between the sewage water quality data and the corresponding standard limit to obtain sewage water quality difference data;

[0023] The sewage water quality difference data and the sewage water quality deviation threshold are evaluated to obtain a sewage treatment evaluation value.

[0024] Furthermore, the specific implementation process of correcting the sewage treatment evaluation value by using the flow rate data, the ambient temperature data and the sewage treatment equipment aging data to obtain the sewage treatment monitoring value includes:

[0025] Obtain sewage treatment assessment values ​​as well as flow rate data, ambient temperature data, and sewage treatment equipment aging data during sewage treatment;

[0026] Calculate the sewage treatment flow rate deviation value, the ambient temperature deviation value and the sewage treatment equipment aging coefficient according to the flow rate data, the ambient temperature data and the sewage treatment equipment aging data;

[0027] The sewage treatment evaluation value is corrected using the sewage treatment flow rate deviation value, the ambient temperature deviation value and the sewage treatment equipment aging coefficient to obtain a sewage treatment monitoring value.

[0028] Furthermore, the calculation formula of the sewage treatment monitoring value is:

[0029] ;

[0030] Among them, WSJC is the sewage treatment monitoring value, WSPG is the sewage treatment assessment value, is the actual ambient temperature, is the standard value of ambient temperature, is the ambient temperature deviation threshold, is the aging coefficient of sewage treatment equipment, is the sewage flow rate weight coefficient, is the standard value of sewage treatment flow rate, It is the measured value of sewage treatment flow rate.

[0031] Furthermore, the multi-sensor data includes: pressure sensor data, flow sensor data, gas sensor data and conductivity sensor data.

[0032] Furthermore, the pipeline leakage monitoring unit is used to compare the multi-sensor data of the pipeline with the standard value of the corresponding data to obtain the pipeline leakage monitoring value. The specific implementation process includes:

[0033] Acquire multi-sensor data of pipelines;

[0034] Obtaining pressure measurements, inlet flow measurements, outlet flow measurements, gas concentration measurements, and conductivity measurements from the multi-sensor data;

[0035] Obtaining a pipeline flow deviation value according to the inlet flow measurement value and the outlet flow measurement value;

[0036] The pressure measurement value, the pipeline flow deviation value, the gas concentration measurement value and the conductivity measurement value are respectively compared with the pressure standard value, the pipeline flow deviation standard value, the gas concentration standard value and the conductivity standard value to obtain the pipeline leakage monitoring value.

[0037] Furthermore, the sedimentation tank temperature adjustment unit is used to input the monitoring information of the sedimentation tank into the sedimentation tank temperature prediction model to obtain a temperature adjustment weight coefficient; the specific implementation process of adjusting the current sedimentation tank temperature using the temperature adjustment weight coefficient includes:

[0038] Construct a sedimentation tank temperature prediction model;

[0039] Obtain historical and real-time monitoring information of sedimentation tanks;

[0040] Inputting the historical monitoring information into the sedimentation tank temperature prediction model for training to obtain the historical temperature impact weight;

[0041] Input the historical temperature impact weight and the real-time monitoring information into the pre-trained sedimentation tank temperature prediction model, update and optimize the model parameters, and obtain the temperature impact weight factor; wherein the temperature impact weight factor includes: a flow rate impact weight factor and a sludge impact weight factor;

[0042] Evaluate the temperature impact weight factor and the real-time monitoring information to obtain a temperature adjustment weight coefficient;

[0043] The current sedimentation tank temperature is multiplied by the temperature adjustment weight coefficient to obtain the adjusted sedimentation tank temperature.

[0044] Furthermore, the specific process of the early warning prompt unit for outputting early warning prompt information includes: first receiving the early warning permission signal sent by the judgment module distributed in the sedimentation tank monitoring unit, the sewage treatment monitoring unit and the pipeline leakage monitoring unit; and then outputting the early warning prompt information in the form of images, voice and video.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] 1. The present invention proposes a sewage treatment monitoring function for monitoring the water quality after sewage treatment; the function first evaluates the pH value, oil concentration, chemical oxygen demand, ammonia nitrogen concentration and dissolved oxygen concentration to obtain a sewage treatment evaluation value; then, the sewage treatment evaluation value is corrected using flow rate data, ambient temperature data and sewage treatment equipment aging data to obtain a sewage treatment monitoring value; the function uses the corrected sewage treatment monitoring value to accurately reflect the actual water quality after sewage treatment, thereby effectively improving the reliability and accuracy of monitoring and treating domestic sewage at construction sites.

[0047] 2. The present invention proposes a pipeline leakage monitoring function for monitoring the degree of leakage in the sewage pipeline transportation process; this function first obtains multi-sensor data, and then comprehensively evaluates the pressure, water flow, gas concentration and sewage conductivity in the pipeline, and uses the comparison relationship between the sensor measurement data and the standard value of the corresponding data to obtain the pipeline leakage monitoring value; this function combines multi-sensor data to improve the accuracy of monitoring pipeline sewage leakage, thereby effectively improving the reliability and accuracy of monitoring and treating domestic sewage at construction sites.

[0048] 3. The present invention proposes a sedimentation tank temperature adjustment function for adjusting the temperature change in the sedimentation tank; the function uses historical monitoring data to train the sedimentation tank temperature prediction model to obtain the historical temperature influence weight; the model parameters are updated using the historical temperature influence weight and real-time monitoring information to obtain the temperature influence weight factor; the function evaluates the temperature influence weight factor and the real-time monitoring information to obtain the temperature adjustment weight coefficient; finally, the temperature of the sedimentation tank is adjusted using the temperature adjustment weight coefficient, which can improve the efficiency and stability of sewage sedimentation treatment in the sedimentation tank, thereby effectively improving the reliability and accuracy of monitoring and treating domestic sewage at construction sites. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a structural schematic diagram of a monitoring and treatment system for domestic sewage at a construction site according to the present invention;

[0050] Figure 2 It is a structural schematic diagram of a sedimentation tank monitoring unit of the present invention;

[0051] Figure 3 It is a structural schematic diagram of a sewage treatment monitoring unit of the present invention;

[0052] Figure 4 It is a structural schematic diagram of a pipeline leakage monitoring unit of the present invention;

[0053] Figure 5 It is a structural schematic diagram of the sedimentation tank temperature prediction model of the present invention. DETAILED DESCRIPTION

[0054] 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.

[0055] The domestic sewage from construction sites mainly comes from the daily wastewater of construction site employees, such as washing drainage, temporary toilet drainage and canteen drainage, etc.; construction sites are generally located around residential buildings. If the domestic sewage generated from construction sites is not treated in a timely and effective manner, it will not only affect the daily work and physical health of the construction site employees, but also pollute the surrounding ecological environment, and thus pose a threat to the life and health of residents living near the construction site. Therefore, it is essential to monitor and treat the domestic sewage from construction sites.

[0056] At present, the existing technology still has shortcomings in the monitoring and treatment of domestic sewage at construction sites. On the one hand, the existing technology monitors the sewage flow and sewage concentration during the treatment of domestic sewage at construction sites, and does not consider the impact of temperature changes on sewage treatment. On the other hand, the existing technology does not monitor the leakage of sewage during pipeline transportation, thereby reducing the reliability and accuracy of monitoring and treating domestic sewage at construction sites.

[0057] Embodiment 1

[0058] As an embodiment of the present invention, refer to Figure 1 , a monitoring and treatment system for domestic sewage at a construction site, comprising: a system control unit, a data acquisition unit, a sedimentation tank monitoring unit, a sewage treatment monitoring unit, a pipeline leakage monitoring unit, a sedimentation tank temperature adjustment unit and an early warning prompt unit;

[0059] Wherein, the system control unit is used to control the start, pause and stop of the system;

[0060] The data acquisition unit is used to obtain the sewage inflow, sewage flow rate, temperature data and sludge depth data of the sedimentation tank; collect multi-sensor data of the pipeline; obtain flow rate data, ambient temperature data and sewage treatment equipment aging data during sewage treatment and sewage quality data after sewage treatment;

[0061] The sedimentation tank monitoring unit is used to analyze the sewage inflow, the sewage flow rate, the temperature data and the sludge depth data of the sedimentation tank to obtain a sedimentation tank monitoring value;

[0062] Further, the structure of the sedimentation tank monitoring unit can refer to Figure 2, including: sedimentation tank monitoring module and judgment module;

[0063] Furthermore, the sedimentation tank monitoring module is used to analyze the sewage inflow, the sewage flow rate, the temperature data and the sludge depth data of the sedimentation tank, and the specific implementation process of obtaining the sedimentation tank monitoring value includes:

[0064] Obtain the sewage inflow, sewage flow rate, temperature data and sludge depth data of the sedimentation tank;

[0065] In this embodiment, the sewage inflow, sewage flow rate, temperature data and sludge depth data of the sedimentation tank are obtained by respectively installing a flow meter, a flow rate sensor, a temperature sensor and a depth meter in the sedimentation tank; of course, the equipment and method for collecting sedimentation tank data are not limited to those listed above, and can be adjusted according to actual conditions.

[0066] The sewage inflow, the sewage flow rate and the temperature data are compared with the standard value of the inflow, the standard value of the flow rate and the standard value of the temperature respectively to obtain the sewage sedimentation impact value, which can be expressed as:

[0067] ;

[0068] Among them, CJYX represents the sewage sedimentation impact value; M represents the number of times data is collected; Expressed as the water inflow weight factor; It is expressed as the sewage inflow volume of the kth collection data; It is expressed as the standard value of water inflow; It is expressed as the sewage flow rate weight factor; It is expressed as the sewage flow rate of the kth collection data; Expressed as standard value of flow rate; Expressed as a temperature weight factor; Represents the temperature data of the kth collected data; Expressed as temperature standard value.

[0069] In this embodiment, the water inlet weight factor, sewage flow rate weight factor and temperature weight factor are set to 0.35, 0.3 and 0.35 respectively; the weight factors can be adjusted according to actual conditions and are not unique.

[0070] In this embodiment, the setting of the standard value of water inlet volume, standard value of flow rate and standard value of temperature will be affected by factors such as sewage equipment, equipment layout and geographical environment of the construction site. The values ​​can be set according to the actual sewage treatment scenario and are not unique.

[0071] The sewage sedimentation impact value and the sludge depth data are evaluated to obtain the sedimentation tank monitoring value, and the calculation formula can be expressed as:

[0072] ;

[0073] Among them, CDJC represents the monitoring value of the sedimentation tank. The larger the value, the more serious the sludge deposition in the sedimentation tank or the lower the sedimentation efficiency; It is represented by the sludge deposition impact weight, which is set to 0.5; CJYX is represented by the sewage sedimentation impact value; Expressed as sludge depth data; Expressed as the sludge depth threshold.

[0074] In this embodiment, the sludge depth threshold value will change with the change of the size of the sedimentation tank structure, so those skilled in the art can flexibly set it with reference to the actual sedimentation tank.

[0075] Furthermore, the judgment module is used to compare the sedimentation tank monitoring value with the sedimentation tank monitoring threshold; if it is lower than the sedimentation tank monitoring threshold, it means that the sewage sedimentation in the sedimentation tank is normal; otherwise, an early warning permission signal is sent to the early warning prompt unit.

[0076] In order to conveniently illustrate the sedimentation tank monitoring function proposed by the present invention, this embodiment selects three groups of sedimentation tank monitoring data for testing, which are recorded as sample one, sample two and sample three; each sample data has 50 groups of water inflow data, flow rate data and temperature data for calculating the sewage sedimentation impact value; the real-time sludge depth data of each sample are 0.74, 1.3 and 0.92 respectively, and the sludge depth threshold and the sedimentation tank monitoring threshold are set to 1 meter and 0.5 respectively; then, combined with the specific calculation process of the sedimentation tank monitoring value, the sewage sedimentation impact value, sedimentation tank monitoring value and threshold judgment result of each sample are obtained, and the sedimentation tank monitoring test results are shown in Table 1:

[0077] Table 1. Sedimentation tank monitoring test results

[0078]

[0079] In this embodiment, a sedimentation tank monitoring function is proposed to monitor the state of sewage sedimentation; this function evaluates the degree of influence on sludge sedimentation by using the water inlet volume, sewage flow rate and temperature to obtain the sewage sedimentation impact value; then, this function combines the sewage sedimentation impact value and the sludge deposition depth data to comprehensively monitor the real-time state of sewage sedimentation, thereby effectively improving the reliability and accuracy of monitoring and treating domestic sewage at construction sites.

[0080] The sewage treatment monitoring unit is used to evaluate the sewage water quality data to obtain a sewage treatment evaluation value; the sewage treatment evaluation value is corrected using the flow rate data, the ambient temperature data and the sewage treatment equipment aging data to obtain a sewage treatment monitoring value;

[0081] Furthermore, the sewage water quality data includes: pH value, oil and fat concentration, dissolved oxygen concentration, ammonia nitrogen concentration and chemical oxygen demand;

[0082] In this embodiment, domestic sewage from construction sites mainly comes from daily wastewater from construction site employees, such as drainage from washing and brushing, drainage from temporary toilets, and drainage from canteens; sewage quality data is collected through special monitoring instruments; among them, pH value, oil concentration, chemical oxygen demand, ammonia nitrogen concentration, and dissolved oxygen concentration are selected as monitoring data, which provide reliable data support for monitoring the sewage treatment effect, thereby improving the reliability and accuracy of monitoring and treating domestic sewage from construction sites.

[0083] Furthermore, the structure of the sewage treatment monitoring unit can refer to Figure 3 , including: sewage treatment assessment module, sewage treatment correction module and judgment module;

[0084] Furthermore, the sewage treatment evaluation module is used to evaluate the sewage water quality data, and the specific implementation process of obtaining the sewage treatment evaluation value includes:

[0085] Obtain sewage quality data after sewage treatment;

[0086] Calculate the difference between the sewage water quality data and the corresponding standard limit to obtain sewage water quality difference data;

[0087] The sewage water quality difference data and the sewage water quality deviation threshold are evaluated to obtain a sewage treatment evaluation value; the calculation formula of the sewage treatment evaluation value is:

[0088] ;

[0089] Wherein, WSPG represents the sewage treatment assessment value; N represents the number of sample data; arctan() represents the inverse tangent function; Expressed as pH weight coefficient; It is expressed as pH deviation threshold; Expressed as pH standard limit; Expressed as the pH value of the i-th sample data; It is expressed as the weight coefficient of oil concentration; It is expressed as the oil concentration deviation threshold; Expressed as standard limit of oil and fat concentration; It is expressed as the oil concentration of the i-th sample data; Expressed as the dissolved oxygen concentration weight coefficient; It is expressed as the dissolved oxygen concentration deviation threshold; Expressed as the standard limit of dissolved oxygen concentration; Expressed as the dissolved oxygen concentration of the i-th sample data; Expressed as ammonia nitrogen concentration weight coefficient; It is expressed as the ammonia nitrogen concentration deviation threshold; Expressed as the standard limit of ammonia nitrogen concentration; Expressed as the ammonia nitrogen concentration of the i-th sample data; Expressed as chemical oxygen demand weight coefficient; It is expressed as the chemical oxygen demand deviation threshold; Expressed as the standard limit of chemical oxygen demand; Expressed as the chemical oxygen demand of the i-th sample data.

[0090] In this embodiment, the pH value weight coefficient, grease concentration weight coefficient, dissolved oxygen concentration weight coefficient, ammonia nitrogen concentration weight coefficient and chemical oxygen demand weight coefficient are all set to 0.2; of course, the weight coefficient can be flexibly adjusted according to actual conditions; the pH standard limit, grease concentration standard limit, dissolved oxygen concentration standard limit, ammonia nitrogen concentration standard limit and chemical oxygen demand standard limit can be obtained according to the "Surface Water Environmental Quality Standard (GB 3838-2002)"; the pH value deviation threshold, grease concentration deviation threshold, dissolved oxygen concentration deviation threshold, ammonia nitrogen concentration deviation threshold and chemical oxygen demand deviation threshold can be set by technical personnel in this field based on experience summary and are not unique.

[0091] In this embodiment, a sewage treatment monitoring function is proposed for monitoring the water quality after sewage treatment; this function first evaluates the pH value, oil concentration, chemical oxygen demand, ammonia nitrogen concentration and dissolved oxygen concentration to obtain a sewage treatment evaluation value; this function uses the sewage treatment evaluation value to effectively detect the water quality of treated water, thereby improving the reliability and accuracy of monitoring and treating domestic sewage at construction sites.

[0092] Furthermore, the sewage treatment correction module uses the flow rate data, the ambient temperature data and the sewage treatment equipment aging data to correct the sewage treatment evaluation value, and the specific implementation process of obtaining the sewage treatment monitoring value includes:

[0093] Obtain sewage treatment assessment values ​​as well as flow rate data, ambient temperature data, and sewage treatment equipment aging data during sewage treatment;

[0094] Calculate the sewage treatment flow rate deviation value, the ambient temperature deviation value and the sewage treatment equipment aging coefficient according to the flow rate data, the ambient temperature data and the sewage treatment equipment aging data;

[0095] The sewage treatment evaluation value is corrected using the sewage treatment flow rate deviation value, the ambient temperature deviation value and the sewage treatment equipment aging coefficient to obtain a sewage treatment monitoring value.

[0096] In this embodiment, a sewage treatment correction function is proposed for correcting the sewage treatment evaluation value; this function constructs a sewage treatment correction formula by using the flow rate, ambient temperature and equipment aging data in the sewage treatment process, and then uses the sewage treatment correction formula to adjust the sewage treatment evaluation value to conform to the actual sewage treatment situation, thereby improving the reliability and accuracy of monitoring and treating domestic sewage at construction sites.

[0097] Furthermore, the calculation formula of the sewage treatment monitoring value is:

[0098] ;

[0099] Among them, WSJC is the sewage treatment monitoring value, WSPG is the sewage treatment assessment value, is the actual ambient temperature, is the standard value of ambient temperature, is the ambient temperature deviation threshold, is the aging coefficient of sewage treatment equipment, is the sewage flow rate weight coefficient, is the standard value of sewage treatment flow rate, It is the measured value of sewage treatment flow rate.

[0100] In this embodiment, the sewage treatment assessment value is corrected using flow rate data, ambient temperature data and sewage treatment equipment aging data to obtain the sewage treatment monitoring value; by using the corrected sewage treatment monitoring value for monitoring, the actual water quality after sewage treatment can be accurately reflected, thereby effectively improving the reliability and accuracy of monitoring and treating domestic sewage at construction sites.

[0101] Furthermore, the judgment module is used to compare the sewage treatment monitoring value with the sewage treatment monitoring threshold; if it is lower than the sewage treatment monitoring threshold, it means that the water quality of the treated water is normal; otherwise, an early warning permission signal is sent to the early warning prompt unit.

[0102] In order to conveniently illustrate the sewage treatment monitoring function proposed by the present invention, this embodiment selects three groups of sewage treatment monitoring data for testing, which are recorded as test one, test two and test three; each sample data has 50 groups of sewage water quality data for calculating the sewage treatment evaluation value; the pH value deviation threshold, oil concentration deviation threshold, dissolved oxygen concentration deviation threshold, ammonia nitrogen concentration deviation threshold and chemical oxygen demand deviation threshold are set to 0.5, 5 mg / L, 0.5 mg / L, 2 mg / L and 10 mg / L, and the sewage treatment monitoring threshold is set to 0.5; then, combined with the calculation process of the sewage treatment monitoring value, the sewage treatment evaluation value, sewage treatment monitoring value and threshold judgment result of each sample are obtained, and the sewage treatment monitoring test results are shown in Table 2:

[0103] Table 2. Sewage treatment monitoring test results

[0104]

[0105] The pipeline leakage monitoring unit is used to compare the multi-sensor data of the pipeline with the standard value of the corresponding data to obtain the pipeline leakage monitoring value;

[0106] Furthermore, the structure of the pipeline leakage monitoring unit can refer to Figure 4 , including: pipeline leakage monitoring module and judgment module;

[0107] Further, the multi-sensor data includes: pressure sensor data, flow sensor data, gas sensor data and conductivity sensor data;

[0108] In this embodiment, the multi-sensor data is obtained by collecting data through the pressure sensor, flow sensor, gas sensor and conductivity sensor of the pipeline; wherein the pressure sensor and flow sensor are installed on the inside of the pipeline, while the gas sensor and conductivity sensor are arranged on the outside of the pipeline; the multi-sensor data provides accurate and comprehensive monitoring data for pipeline leakage monitoring, thereby effectively improving the reliability and accuracy of monitoring and treating domestic sewage at construction sites.

[0109] Furthermore, the pipeline leakage monitoring unit is used to compare the multi-sensor data of the pipeline with the standard value of the corresponding data to obtain the pipeline leakage monitoring value. The specific implementation process includes:

[0110] Acquire multi-sensor data of pipelines;

[0111] Obtaining pressure measurements, inlet flow measurements, outlet flow measurements, gas concentration measurements, and conductivity measurements from the multi-sensor data;

[0112] Obtaining a pipeline flow deviation value according to the inlet flow measurement value and the outlet flow measurement value;

[0113] The pressure measurement value, the pipeline flow deviation value, the gas concentration measurement value and the conductivity measurement value are respectively compared with the pressure standard value, the pipeline flow deviation standard value, the gas concentration standard value and the conductivity standard value to obtain the pipeline leakage monitoring value; the calculation formula of the pipeline leakage monitoring value is:

[0114] ;

[0115] Among them, XLJC represents the pipeline leakage monitoring value; K represents the number of sample data; arctan() represents the inverse tangent function; Expressed as pressure weight coefficient; Represented as the pressure value of the jth sample data; Expressed as standard pressure value; Expressed as pipeline flow deviation weight coefficient; It is represented as the pipeline flow deviation value of the jth sample data; Expressed as the standard value of pipeline flow deviation; Represents the gas concentration weight coefficient; Expressed as the gas concentration of the jth sample data; Expressed as standard value of gas concentration; Expressed as conductivity weight coefficient; Expressed as the conductivity of the jth sample data; Expressed as standard conductivity value.

[0116] In this embodiment, the pressure weight coefficient, pipeline flow deviation weight coefficient, gas concentration weight coefficient and conductivity weight coefficient are set to 0.3, 0.3, 0.2 and 0.2 respectively; the pressure standard value, pipeline flow deviation standard value, gas concentration standard value and conductivity standard value are related to the pipeline material and pipeline layout environment, and need to be set according to the actual pipeline conditions, and are not unique.

[0117] In this embodiment, a pipeline leakage monitoring function is proposed to monitor the leakage degree during sewage pipeline transportation; this function first obtains multi-sensor data, and then comprehensively evaluates the pressure, water flow, gas concentration and sewage conductivity in the pipeline, and obtains the pipeline leakage monitoring value by comparing the sensor measurement data with the standard value of the corresponding data; this function combines multi-sensor data to improve the accuracy of monitoring pipeline sewage leakage, thereby effectively improving the reliability and accuracy of monitoring and treating domestic sewage at construction sites.

[0118] Furthermore, the judgment module is used to compare the pipeline leakage monitoring value with the pipeline leakage monitoring threshold; if it is lower than the pipeline leakage monitoring threshold, it means that the pipeline transportation is normal; otherwise, an early warning permission signal is sent to the early warning prompt unit.

[0119] In order to conveniently illustrate the pipeline leakage monitoring function proposed by the present invention, this embodiment selects three groups of pipeline leakage monitoring data for testing, which are recorded as test sample 1, test sample 2 and test sample 3; each sample data has 100 groups of multi-sensor data for calculating the pipeline leakage monitoring value; the multi-sensor data includes pressure measurement value, inlet flow measurement value, outlet flow measurement value, gas concentration measurement value and conductivity measurement value; the pressure standard value, pipeline flow deviation standard value, gas concentration standard value and conductivity standard value are set to 0.35MPa, 100m³ / h, 20ppm and 1500μS / cm, and the pipeline leakage monitoring threshold is set to 0.5; then, combined with the calculation process of the pipeline leakage monitoring value, the pipeline leakage monitoring value, threshold judgment result and warning permission signal sending judgment result of each sample are obtained, and the pipeline leakage monitoring test results are shown in Table 3:

[0120] Table 3. Pipeline leakage monitoring test results

[0121]

[0122] The sedimentation tank temperature adjustment unit is used to input the monitoring information of the sedimentation tank into the sedimentation tank temperature prediction model to obtain a temperature adjustment weight coefficient; and use the temperature adjustment weight coefficient to adjust the current sedimentation tank temperature;

[0123] Furthermore, the sedimentation tank temperature adjustment unit is used to input the monitoring information of the sedimentation tank into the sedimentation tank temperature prediction model to obtain a temperature adjustment weight coefficient; the specific implementation process of adjusting the current sedimentation tank temperature using the temperature adjustment weight coefficient includes:

[0124] Construct a sedimentation tank temperature prediction model;

[0125] Obtain historical and real-time monitoring information of sedimentation tanks;

[0126] Inputting the historical monitoring information into the sedimentation tank temperature prediction model for training to obtain the historical temperature impact weight;

[0127] The structure of the sedimentation tank temperature prediction model in this embodiment can be referred to Figure 5 , including: an input layer, a feature extraction layer, 3 GRU layers, 3 SwimTransformer layers, a feature fusion layer and a fully connected output layer; wherein the input layer is used to convert historical monitoring information from data space to feature space for further processing; the feature extraction layer is used to extract deep features to enhance feature expression capabilities; the GRU layer and the SwimTransformer layer are respectively in different branches, each used to obtain time series features and global features; the feature fusion layer is used to fuse time series features and global features; the fully connected output layer is used to output historical temperature impact weights.

[0128] Input the historical temperature impact weight and the real-time monitoring information into the pre-trained sedimentation tank temperature prediction model, update and optimize the model parameters, and obtain the temperature impact weight factor; wherein the temperature impact weight factor includes: a flow rate impact weight factor and a sludge impact weight factor;

[0129] The temperature influence weight factor and the real-time monitoring information are evaluated to obtain a temperature adjustment weight coefficient; the temperature adjustment weight coefficient can be expressed as:

[0130] ;

[0131] in, Expressed as temperature adjustment weight coefficient; Expressed as a weight factor affecting flow velocity; Represents real-time flow rate monitoring information; Expressed as the factor affecting the sludge weight; Represents real-time sludge monitoring information.

[0132] The current sedimentation tank temperature is multiplied by the temperature adjustment weight coefficient to obtain the adjusted sedimentation tank temperature.

[0133] In this embodiment, a sedimentation tank temperature adjustment function is proposed for adjusting the temperature change in the sedimentation tank; the function uses historical monitoring data to train the sedimentation tank temperature prediction model to obtain the historical temperature influence weight; the model parameters are updated using the historical temperature influence weight and real-time monitoring information to obtain the temperature influence weight factor; the function evaluates the temperature influence weight factor and the real-time monitoring information to obtain the temperature adjustment weight coefficient; finally, the temperature of the sedimentation tank is adjusted using the temperature adjustment weight coefficient, which can improve the efficiency and stability of sewage sedimentation treatment in the sedimentation tank, thereby effectively improving the reliability and accuracy of monitoring and treating domestic sewage at construction sites.

[0134] The early warning prompt unit is used to output early warning prompt information.

[0135] Furthermore, the specific process of the early warning prompt unit for outputting early warning prompt information includes: first receiving the early warning permission signal sent by the judgment module distributed in the sedimentation tank monitoring unit, the sewage treatment monitoring unit and the pipeline leakage monitoring unit; and then outputting the early warning prompt information in the form of images, voice and video.

[0136] In this embodiment, the early warning prompt unit promptly provides feedback to the staff and informs them of the early warning information by receiving the early warning permission signals sent by the sedimentation tank monitoring unit, the sewage treatment monitoring unit and the pipeline leakage monitoring unit, so as to quickly handle the early warning problem, ensure the stability of the sewage treatment system, and further improve the reliability of monitoring and treating domestic sewage at the construction site.

[0137] In this embodiment, a monitoring and treatment system for domestic sewage at a construction site is proposed. First, the monitoring data of the sedimentation tank, pipeline and sewage treatment stage are obtained; then, the monitoring data of the sedimentation tank is analyzed to obtain the monitoring value of the sedimentation tank; the water quality data of the treated water is evaluated to obtain the sewage treatment evaluation value; the sewage treatment evaluation value is corrected using the flow rate data, ambient temperature data and sewage treatment equipment aging data in the sewage treatment process to obtain the sewage treatment monitoring value; then, the multi-sensor data of the sewage pipeline is evaluated to obtain the pipeline leakage monitoring value; finally, the monitoring information of the sedimentation tank is input into the sedimentation tank temperature prediction model to obtain the temperature adjustment weight coefficient; the temperature adjustment weight coefficient is used to adjust the current sedimentation tank temperature. This system combines multi-sensor data and deep models to improve the reliability and accuracy of monitoring and treating domestic sewage at construction sites.

[0138] Embodiment 2

[0139] A construction site needs to monitor and treat the domestic sewage of its employees, and a monitoring and treatment system for domestic sewage at a construction site provided by the present invention is applied. The following describes the specific process of the system in actual application.

[0140] First, the data acquisition unit in the system uses sensors to obtain monitoring data of the domestic sewage treatment system at the construction site. Sensors are distributed inside the sedimentation tank, inside and outside the pipeline, and inside the sewage treatment equipment in the domestic sewage treatment system at the construction site. At the same time, the sensor types include: temperature sensors, gas sensors, flow rate sensors, and pressure sensors, etc., to ensure the comprehensive coverage of the monitoring data. These sensor data provide a reliable data basis for subsequent sedimentation tank monitoring, pipeline monitoring, and sewage treatment monitoring.

[0141] After acquiring the sensor data, the system will input the collected data from different areas into the corresponding regional monitoring units for monitoring and evaluation; the regional monitoring units are the sedimentation tank monitoring unit, the sewage treatment monitoring unit and the pipeline leakage monitoring unit; if the evaluation result of the regional monitoring unit exceeds the preset threshold, the system will let the judgment module in the regional monitoring unit send an early warning permission signal to the early warning prompt unit; finally, the system will input the real-time monitoring information of the sedimentation tank into the sedimentation tank temperature adjustment unit for temperature prediction and adjustment.

[0142] For the sedimentation tank area, the system will call the sedimentation tank monitoring unit, which compares the sewage inflow data, sewage flow rate data and temperature data collected by the sensor with the standard values ​​of water inflow, flow rate and temperature to obtain the sewage sedimentation impact value; the unit can effectively judge the degree of influence of parameter changes on sewage sedimentation by using the sewage sedimentation impact value; then, the unit evaluates the sewage sedimentation impact value and sludge depth data to obtain the sedimentation tank monitoring value. Through the comprehensive analysis of sewage sedimentation impact and sludge deposition, the accuracy of sedimentation tank monitoring is improved.

[0143] For the pipeline area, the system will call the pipeline leakage monitoring unit, which uses the pressure sensor and flow sensor on the inside of the pipeline and the gas sensor and conductivity sensor on the outside of the pipeline to compare the pressure measurement value, pipeline flow deviation value, gas concentration measurement value and conductivity measurement value with the pressure standard value, pipeline flow deviation standard value, gas concentration standard value and conductivity standard value respectively to obtain the pipeline leakage monitoring value; the unit can use the pipeline leakage monitoring value to judge the leakage degree of the pipeline from multiple dimensions; through the comprehensive analysis of multi-sensor data, the accuracy of pipeline leakage monitoring is improved.

[0144] For sewage treatment areas, the system will call the sewage treatment monitoring unit, which first evaluates the water quality data of the treated water and the standard limit to obtain the sewage treatment assessment value; then, the unit uses the flow rate data, ambient temperature data and sewage treatment equipment aging data collected during the sewage treatment process to correct the sewage treatment assessment value and obtain the sewage treatment monitoring value. By using the sewage treatment monitoring value, the unit can obtain judgment results that conform to the actual sewage treatment link and improve the accuracy of sewage treatment monitoring.

[0145] The system will feed back the monitoring results to the early warning prompt unit, and use the early warning prompt unit to output the prompt content; in addition, the system calls the sedimentation tank temperature adjustment unit, uses the sedimentation tank temperature prediction model to obtain the temperature adjustment weight coefficient, and uses the temperature adjustment weight coefficient to adjust the sedimentation tank temperature, thereby improving the sewage sedimentation efficiency and stability in the sedimentation tank.

[0146] The system realizes comprehensive monitoring of domestic sewage at construction sites through multi-sensor data analysis. At the same time, combined with the deep learning model, it realizes efficient adjustment of the sedimentation tank temperature; its efficient data processing and accurate prediction capabilities provide a powerful support tool for monitoring and treating domestic sewage at construction sites. The application of the system improves the reliability and accuracy of sewage treatment monitoring.

[0147] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A monitoring and treatment system for domestic sewage at a construction site, characterized in that: include: The system control unit is used to control the start, pause and stop of the system; The data acquisition unit is used to obtain the sewage inflow, sewage flow rate, temperature data and sludge depth data of the sedimentation tank; collect multi-sensor data of the pipeline; obtain the flow rate data, ambient temperature data and sewage treatment equipment aging data during sewage treatment and sewage quality data after sewage treatment; The sedimentation tank monitoring unit is used to analyze the sewage inflow, the sewage flow rate, the temperature data and the sludge depth data of the sedimentation tank to obtain the sedimentation tank monitoring value; The sewage treatment monitoring unit is used to evaluate the sewage water quality data to obtain a sewage treatment evaluation value; use the flow rate data, the ambient temperature data and the sewage treatment equipment aging data to correct the sewage treatment evaluation value to obtain a sewage treatment monitoring value; The pipeline leakage monitoring unit is used to compare the multi-sensor data of the pipeline with the standard value of the corresponding data to obtain the pipeline leakage monitoring value; The sedimentation tank temperature adjustment unit is used to input the monitoring information of the sedimentation tank into the sedimentation tank temperature prediction model to obtain a temperature adjustment weight coefficient; and use the temperature adjustment weight coefficient to adjust the current sedimentation tank temperature; The early warning prompt unit is used to output early warning prompt information.

2. A monitoring and treatment system for domestic sewage at a construction site according to claim 1, characterized in that: The sedimentation tank monitoring unit is used to analyze the sewage inflow, the sewage flow rate, the temperature data and the sludge depth data of the sedimentation tank, and the specific implementation process of obtaining the sedimentation tank monitoring value includes: Obtain the sewage inflow, sewage flow rate, temperature data and sludge depth data of the sedimentation tank; Compare the sewage inflow volume, the sewage flow rate and the temperature data with the standard value of the inflow volume, the standard value of the flow rate and the standard value of the temperature respectively to obtain the sewage sedimentation impact value; The sewage sedimentation impact value and the sludge depth data are evaluated to obtain the sedimentation tank monitoring value.

3. A monitoring and treatment system for domestic sewage at a construction site according to claim 1, characterized in that: The sewage water quality data include: pH value, oil concentration, chemical oxygen demand, ammonia nitrogen concentration and dissolved oxygen concentration.

4. A monitoring and treatment system for domestic sewage at a construction site according to claim 1, characterized in that: The sewage treatment monitoring unit is used to evaluate the sewage water quality data, and the specific implementation process of obtaining the sewage treatment evaluation value includes: Obtain sewage quality data after sewage treatment; Calculate the difference between the sewage water quality data and the corresponding standard limit to obtain sewage water quality difference data; The sewage water quality difference data and the sewage water quality deviation threshold are evaluated to obtain a sewage treatment evaluation value.

5. A monitoring and treatment system for domestic sewage at a construction site according to claim 1, characterized in that: The specific implementation process of correcting the sewage treatment evaluation value by using the flow rate data, the ambient temperature data and the sewage treatment equipment aging data to obtain the sewage treatment monitoring value includes: Obtain sewage treatment assessment values ​​as well as flow rate data, ambient temperature data, and sewage treatment equipment aging data during sewage treatment; Calculate the sewage treatment flow rate deviation value, the ambient temperature deviation value and the sewage treatment equipment aging coefficient according to the flow rate data, the ambient temperature data and the sewage treatment equipment aging data; The sewage treatment evaluation value is corrected using the sewage treatment flow rate deviation value, the ambient temperature deviation value and the sewage treatment equipment aging coefficient to obtain a sewage treatment monitoring value.

6. A monitoring and treatment system for domestic sewage at a construction site according to claim 5, characterized in that: The calculation formula of the sewage treatment monitoring value is: ； Among them, WSJC is the sewage treatment monitoring value, WSPG is the sewage treatment assessment value, is the actual ambient temperature, is the standard value of ambient temperature, is the ambient temperature deviation threshold, is the aging coefficient of sewage treatment equipment, is the sewage flow rate weight coefficient, is the standard value of sewage treatment flow rate, It is the measured value of sewage treatment flow rate.

7. A monitoring and treatment system for domestic sewage at a construction site according to claim 1, characterized in that: The multi-sensor data includes: pressure sensor data, flow sensor data, gas sensor data and conductivity sensor data.

8. A monitoring and treatment system for domestic sewage at a construction site according to claim 1, characterized in that: The pipeline leakage monitoring unit is used to compare the multi-sensor data of the pipeline with the standard value of the corresponding data to obtain the pipeline leakage monitoring value. The specific implementation process includes: Acquire multi-sensor data of pipelines; Obtaining pressure measurements, inlet flow measurements, outlet flow measurements, gas concentration measurements, and conductivity measurements from the multi-sensor data; Obtaining a pipeline flow deviation value according to the inlet flow measurement value and the outlet flow measurement value; The pressure measurement value, the pipeline flow deviation value, the gas concentration measurement value and the conductivity measurement value are respectively compared with the pressure standard value, the pipeline flow deviation standard value, the gas concentration standard value and the conductivity standard value to obtain the pipeline leakage monitoring value.

9. A monitoring and treatment system for domestic sewage at a construction site according to claim 1, characterized in that: The sedimentation tank temperature adjustment unit is used to input the monitoring information of the sedimentation tank into the sedimentation tank temperature prediction model to obtain a temperature adjustment weight coefficient; the specific implementation process of adjusting the current sedimentation tank temperature using the temperature adjustment weight coefficient includes: Construct a sedimentation tank temperature prediction model; Obtain historical and real-time monitoring information of sedimentation tanks; Inputting the historical monitoring information into the sedimentation tank temperature prediction model for training to obtain the historical temperature impact weight; Input the historical temperature impact weight and the real-time monitoring information into the pre-trained sedimentation tank temperature prediction model, update and optimize the model parameters, and obtain the temperature impact weight factor; wherein the temperature impact weight factor includes: a flow rate impact weight factor and a sludge impact weight factor; Evaluate the temperature impact weight factor and the real-time monitoring information to obtain a temperature adjustment weight coefficient; The current sedimentation tank temperature is multiplied by the temperature adjustment weight coefficient to obtain the adjusted sedimentation tank temperature.

10. A monitoring and treatment system for domestic sewage at a construction site according to claim 1, characterized in that: The specific process of the early warning prompt unit for outputting early warning prompt information includes: first receiving the early warning permission signal sent by the sedimentation tank monitoring unit, the sewage treatment monitoring unit and the pipeline leakage monitoring unit; then outputting the early warning prompt information in the form of images, voice and video.

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