Fine management system of sewage pretreatment center

Through intelligent control and monitoring modules, the sewage treatment equipment is monitored and analyzed in real time, and the problem of difficult to manage sewage treatment in the existing technology is solved, which has achieved safe and stable operation and efficiency improvement of the equipment, and reduced management difficulty.

CN120471469AActive Publication Date: 2025-08-12WUHAN URBAN DRAINAGE DEV CO LTD

Patent Information

Application Number
CN202510489395.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-18
Publication Date
2025-08-12
Estimated Expiration
2045-04-18

AI Technical Summary

Technical Problem

It is difficult for the existing technology to reasonably analyze and warn the operating conditions, treatment efficiency conditions and emission risk conditions of sewage treatment equipment one by one, making it difficult to manage the sewage treatment process in a refined manner, and the supervision of managers is difficult, and the level of intelligence and automation is low.

Method used

The intelligent control module, operation equipment monitoring module, efficiency control analysis module, emission risk analysis module and supervision and early warning terminal are adopted to realize intelligent control, operation monitoring, efficiency analysis and emission risk detection of sewage treatment equipment, generate corresponding signals and send them to the supervision and early warning terminal for refined management and evaluation.

Benefits of technology

The safe and stable operation monitoring of sewage treatment equipment has been achieved, the efficiency and effectiveness of sewage treatment have been improved, the workload and supervision difficulty of managers have been significantly reduced, and the degree of intelligence and automation has been improved.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention belongs to the technical field of sewage treatment management and control, and particularly relates to a sewage pretreatment center fine management system which comprises an intelligent control module, an operation equipment monitoring module, an efficiency management and control analysis module, an emission risk analysis module, a fine management evaluation module and a supervision early warning terminal. All sewage treatment equipment of the sewage pretreatment center is effectively monitored through the operation equipment monitoring module, safe and stable operation of all the sewage treatment equipment is guaranteed, and the efficiency management and control analysis module analyzes the sewage treatment efficiency management and control performance and strengthens sewage treatment efficiency management and control in time. And the discharge risk analysis module judges whether the discharged purified water meets the requirement or not, corresponding remedial measures are taken after a discharge early warning signal is generated so as to reduce pollution to the outside, the intelligent degree and the automation degree are high, the workload and the supervision difficulty of management personnel are remarkably reduced, and fine management of a sewage pretreatment center can be achieved.
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Description

Technical Field

[0001] The present invention relates to the technical field of sewage treatment control, and in particular to a refined management system for a sewage pretreatment center. Background Art

[0002] With the acceleration of my country's industrialization and urbanization, sewage treatment has become an important link in ensuring the sustainable use of water resources and ecological environmental safety. The sewage pretreatment center integrates a variety of sewage treatment equipment to achieve effective sewage treatment; The Chinese invention patent, publication number CN112598368A, discloses an online sewage treatment monitoring platform. This technical solution connects and centralizes the management of sewage treatment plants and monitoring sites through a sewage treatment module, a data collection module, a video monitoring module, a cloud data center, an equipment status indicator management module, an equipment warning threshold management module, a data management module, a data reporting module, and a display module, achieving monitoring, early warning, and early decision-making. However, in actual application, the above-mentioned technical solution not only makes it difficult to conduct a reasonable analysis of the operating conditions, treatment efficiency, and emission risk of treatment equipment and provide timely warnings, but also makes it difficult to accurately evaluate the management and control performance of the sewage treatment process. This is not conducive to achieving refined management of sewage treatment and ensuring sewage treatment efficiency and treatment results. It is also difficult for management personnel to supervise and the level of intelligence and automation is low. In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0003] The purpose of the present invention is to provide a refined management system for sewage pretreatment centers, which solves the problem that the existing technology is difficult to reasonably analyze the operating conditions, treatment efficiency and emission risk conditions of the treatment equipment one by one and to issue timely warnings, and it is difficult to accurately evaluate the management and control performance of the sewage treatment process, which is not conducive to achieving refined management of sewage treatment and ensuring sewage treatment efficiency and treatment effects, and the problem of difficulty in sewage treatment supervision.

[0004] To achieve the above object, the present invention provides the following technical solutions: A refined management system for a sewage pretreatment center, comprising an intelligent control module, an operating equipment monitoring module, an efficiency management and analysis module, an emission risk analysis module, a refined management assessment module, and a supervision and early warning terminal; The intelligent control module conducts two-way communication with the supervision and early warning terminal, and intelligently controls the operation of all sewage treatment equipment in the sewage pretreatment center based on control instructions. The operating equipment monitoring module monitors the operation of all sewage treatment equipment in the sewage pretreatment center, analyzes the operating performance of all sewage treatment equipment, and generates an operation qualification signal or operation early warning signal for the corresponding sewage treatment equipment through analysis, and sends the operation qualification signal or operation early warning signal of the corresponding sewage treatment equipment to the supervision and early warning terminal; The efficiency control analysis module analyzes the sewage treatment efficiency control performance, generates an efficiency control qualified signal or an efficiency control unqualified signal based on the analysis, and sends the efficiency control qualified signal or the efficiency control unqualified signal to the supervision and early warning terminal; The discharge risk analysis module will detect and analyze the clean water after treatment by the sewage pretreatment center to determine whether the discharged clean water meets the requirements, and generate a discharge qualification signal or a discharge warning signal based on this, and send the discharge qualification signal or the discharge warning signal to the supervision and warning terminal; the refined management evaluation module will analyze the management status of the sewage pretreatment center during the detection period, generate a management abnormality signal or a management normal signal through analysis, and send the management abnormality signal or the management normal signal to the supervision and warning terminal.

[0005] Furthermore, the specific analysis process of running the equipment monitoring module is as follows: Obtain all sewage treatment equipment in the sewage pretreatment center, mark the average execution delay time of the corresponding sewage treatment equipment for the control instruction per unit time as the processing delay value, and obtain the operating parameters that need to be monitored for the corresponding sewage treatment equipment. If the parameter data of any operating parameter does not meet the currently set corresponding data requirements, it is determined that the corresponding sewage treatment equipment is in a processing hidden danger state; Obtain the total duration of the corresponding sewage treatment equipment in the hidden danger processing state within a unit time and mark it as the total hidden danger processing time value, and mark the number of occurrences in which the corresponding sewage treatment equipment is in the hidden danger processing state for a single duration exceeding the preset single duration threshold within a unit time as the hidden danger processing frequency table value; The treatment monitoring value of the corresponding sewage treatment equipment is obtained by numerically calculating the treatment delay value, the total time value of the treatment hidden danger and the treatment hidden danger frequency table value, and the treatment monitoring value is numerically compared with the corresponding preset treatment monitoring threshold. If the treatment monitoring value exceeds the corresponding preset treatment monitoring threshold, an operation warning signal of the corresponding sewage treatment equipment is generated; if the treatment monitoring value does not exceed the corresponding preset treatment monitoring threshold, an operation qualification signal of the corresponding sewage treatment equipment is generated.

[0006] Furthermore, the specific analysis process of the efficiency control analysis module is as follows: Obtain all pollution feature values within a unit time and establish a pollution feature set. Arrange the subsets in the pollution feature set in descending order of value, insert a preset pollution feature threshold into the pollution feature set, and mark the number of subsets in the pollution feature set that are ahead of the preset pollution feature threshold as the pollution pre-coefficient. and marking the average value of all subsets in the pollution feature set as the pollution characterization value, and marking the subset with the largest value in the pollution feature set as the pollution amplitude characteristic value; obtaining the pollution analysis coefficient by numerically calculating the pollution pre-coefficient, the pollution characterization value and the pollution amplitude characteristic value; The amount of sewage treated during the detection period is obtained and marked as a sewage treatment coefficient. Several groups of preset pollution analysis coefficient ranges are set in advance, and each group of preset pollution analysis coefficient ranges corresponds to a group of preset sewage treatment coefficient ranges. The pollution analysis coefficient is compared with all the preset pollution analysis coefficient ranges one by one, and the preset pollution analysis coefficient range containing the corresponding pollution analysis coefficient is marked as a docking range, and the preset sewage treatment coefficient range corresponding to the docking range is marked as a matching range. The sewage treatment coefficient is numerically compared with the matching range. If the sewage treatment coefficient is within the matching range, an efficiency control qualified signal is generated; if the sewage treatment coefficient is not within the matching range, an efficiency control unqualified signal is generated.

[0007] Furthermore, the efficiency control and analysis module is communicatively connected to the sewage input detection module. The sewage input detection module samples and detects the sewage entering the sewage pretreatment center, obtains the sewage characteristic value through detection and analysis before the sewage is input, and sends the sewage characteristic value to the efficiency control and analysis module.

[0008] Furthermore, the specific detection and analysis process of the sewage input detection module is as follows: Obtain the pollution parameters that need to be monitored in the sewage, collect the detection data of the corresponding pollution parameters in the sewage, set each pollution parameter to correspond to a set of preset pollution weight values, multiply the detection data of the corresponding pollution parameter by the corresponding preset pollution weight value to obtain the pollution entry value, and sum up the pollution entry values of all pollution parameters that need to be monitored to obtain the pollution characteristic value.

[0009] Furthermore, the specific analysis process of the emission risk analysis module is as follows: Obtain the detection data of the corresponding pollution parameters in the discharged clean water, and compare the detection data of the corresponding pollution parameters with the corresponding preset data requirements. If the detection data of the corresponding pollution parameters do not meet the corresponding preset data requirements, the corresponding pollution parameters will be marked as abnormal parameters; if there are abnormal parameters, an emission warning signal will be generated; if there are no abnormal parameters, an emission qualified signal will be generated.

[0010] Furthermore, the specific analysis process of the refined management evaluation module is as follows: Set a detection period, collect the number of times efficiency control unqualified signals and emission warning signals are generated during the detection period, and mark them as efficiency control frequency deviation values and emission frequency deviation values respectively. Compare the efficiency control frequency deviation values and emission frequency deviation values with the preset efficiency control frequency deviation thresholds and the preset emission frequency deviation thresholds respectively. If the efficiency control frequency deviation value or the emission frequency deviation value exceeds the corresponding preset threshold, a management abnormality signal is generated.

[0011] Furthermore, if both the efficiency pipe frequency deviation value and the discharge frequency deviation value do not exceed the corresponding preset thresholds, the number of times the corresponding sewage treatment equipment generates an operation warning signal during the detection period is collected and marked as the treatment frequency deviation value, and the treatment frequency deviation value is numerically compared with the preset treatment frequency deviation threshold. If the treatment frequency deviation value exceeds the preset treatment frequency deviation threshold, the corresponding sewage treatment equipment is marked as a verification equipment; and obtaining all the corresponding pollution parameters when generating the emission warning signal, defining the number of times the corresponding pollution parameter is marked as an abnormal parameter during the detection period as an abnormal frequency value, comparing the abnormal frequency value with a preset abnormal frequency threshold, and marking the corresponding pollution parameter as a high-frequency parameter if the abnormal frequency value exceeds the preset abnormal frequency threshold; If there are verification devices or high-frequency parameters within the detection period, a management abnormality signal is generated.

[0012] Furthermore, if there is no verification equipment and high-frequency parameters during the detection period, the treatment frequency difference values of all sewage treatment equipment are averaged to obtain the treatment frequency difference coefficient, and the treatment frequency difference values of all pollution parameters are averaged to obtain the treatment frequency difference table coefficient; The refined management evaluation value is obtained by numerically calculating the effective management frequency difference value, emission frequency difference value, treatment matching frequency difference coefficient and treatment frequency difference table coefficient, and the refined management evaluation value is numerically compared with the preset refined management evaluation threshold value. If the refined management evaluation value exceeds the preset refined management evaluation threshold value, a management abnormality signal is generated; if the refined management evaluation value does not exceed the preset refined management evaluation threshold value, a management normal signal is generated.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, the operating equipment monitoring module effectively monitors all sewage treatment equipment in the sewage pretreatment center to ensure the safe and stable operation of each sewage treatment equipment. The efficiency control and analysis module analyzes the sewage treatment efficiency control performance and timely strengthens the sewage treatment efficiency control. The discharge risk analysis module determines whether the discharged clean water meets the requirements and takes corresponding remedial measures in a timely manner. This significantly reduces the workload of management personnel and the difficulty of supervision, and is conducive to the refined management of the sewage pretreatment center. 2. In the present invention, the management status of the sewage pretreatment center during the detection period is analyzed through the refined management evaluation module to generate a management abnormality signal or a management normal signal. When a management abnormality signal is generated, the management personnel are reminded to adjust the subsequent supervision plan, strengthen the subsequent management of the sewage pretreatment center, ensure the safety, stability and continuous operation of the sewage treatment process, further improve the sewage treatment efficiency and sewage treatment effect, and have a high degree of intelligence and automation. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings; Figure 1 This is a system block diagram of Embodiment 1 of the present invention; Figure 2 This is a system block diagram of Example 2 of the present invention. DETAILED DESCRIPTION

[0015] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0016] Example 1: Figure 1 As shown, the present invention proposes a refined management system for a sewage pretreatment center, which includes an intelligent control module, an operating equipment monitoring module, an efficiency control and analysis module, an emission risk analysis module, and a supervision and early warning terminal. The intelligent control module and the supervision and early warning terminal perform two-way communication (i.e., the intelligent control module sends corresponding control information to the supervision and early warning terminal for display, so that managers can view detailed control information, and managers can issue manual control instructions through the supervision and early warning terminal to achieve manual control of the sewage pretreatment center). Based on the control instructions (including manually issued control instructions and automatically generated control instructions), the operation of all sewage treatment equipment in the sewage pretreatment center is intelligently controlled. The operating equipment monitoring module monitors the operation of all sewage treatment equipment in the sewage pretreatment center (including lifting and conveying equipment, grit settling equipment, flotation equipment, etc.), analyzes the operating performance of all sewage treatment equipment, generates operation qualification signals or operation warning signals for the corresponding sewage treatment equipment through analysis, and sends the operation qualification signals or operation warning signals of the corresponding sewage treatment equipment to the supervision and warning terminal; When the monitoring and warning terminal receives the operation warning signal, it issues a corresponding warning to remind management personnel to strengthen the operation supervision of the corresponding sewage treatment equipment and make corresponding adjustment measures, so as to achieve effective monitoring of all sewage treatment equipment, which is conducive to ensuring the safe and stable operation of each sewage treatment equipment. The specific analysis process of the operation equipment monitoring module is as follows: Obtain all sewage treatment equipment in the sewage pretreatment center, mark the average execution delay time of the control instructions of the corresponding sewage treatment equipment per unit time as the processing delay value, and obtain the operating parameters that need to be monitored for the corresponding sewage treatment equipment (such as operating power, operating current, etc.). If the parameter data of any operating parameter does not meet the currently set corresponding data requirements, it is determined that the corresponding sewage treatment equipment is in a processing hidden danger state; Obtain the total duration of the corresponding sewage treatment equipment in the hidden danger processing state within a unit time and mark it as the total hidden danger processing time value, and mark the number of occurrences in which the corresponding sewage treatment equipment is in the hidden danger processing state for a single duration exceeding the preset single duration threshold within a unit time as the hidden danger processing frequency table value; The treatment monitoring value WX of the corresponding sewage treatment equipment is calculated by numerically calculating the treatment delay value FY, the total time value for treatment hidden dangers ZW, and the treatment hidden danger frequency table value NP using the formula WX=a×FY+e×ZW+n×NP. Here, a, e, and n are preset proportional coefficients with values greater than zero. A larger value of the treatment monitoring value WX indicates a worse operating performance of the corresponding sewage treatment equipment per unit time. The processing monitoring value WX is numerically compared with the corresponding preset processing monitoring threshold. If the processing monitoring value WX exceeds the corresponding preset processing monitoring threshold, it indicates that the operating performance of the corresponding sewage treatment equipment per unit time is poor, and an operation warning signal of the corresponding sewage treatment equipment is generated; if the processing monitoring value WX does not exceed the corresponding preset processing monitoring threshold, it indicates that the operating performance of the corresponding sewage treatment equipment per unit time is good, and an operation qualification signal of the corresponding sewage treatment equipment is generated.

[0017] The efficiency control analysis module analyzes the sewage treatment efficiency control performance and generates an efficiency control qualified signal or an efficiency control unqualified signal based on the analysis. The efficiency control qualified signal or the efficiency control unqualified signal is sent to the supervision and early warning terminal. When the supervision and early warning terminal receives the efficiency control unqualified signal, it issues a corresponding early warning to remind management personnel to strengthen sewage treatment efficiency control, so that the sewage treatment efficiency is always within an appropriate range, improving the sewage treatment effect while ensuring sewage treatment efficiency. The specific analysis process of the efficiency control analysis module is as follows: Obtain all pollution feature values within a unit time and establish a pollution feature set. Arrange the subsets in the pollution feature set in descending order of value, insert a preset pollution feature threshold into the pollution feature set, and mark the number of subsets in the pollution feature set that are ahead of the preset pollution feature threshold as the pollution pre-coefficient. The average value of all subsets in the pollution feature set is marked as the pollution characterization value, and the subset with the largest value in the pollution feature set is marked as the pollution amplitude characteristic value; the pollution pre-coefficient M, the pollution characterization value Q, and the pollution amplitude characteristic value E are numerically calculated using the formula P=t×M+(h×Q+c×E) / 2 to obtain the pollution analysis coefficient P; wherein t, h, and c are preset proportional coefficients with values greater than zero, and the larger the value of the pollution analysis coefficient P, the more serious the pollution condition of the input sewage is and the greater the difficulty in treatment; The amount of sewage treated during the detection period is obtained and marked as the sewage treatment coefficient. Several groups of preset pollution analysis coefficient ranges are set in advance, and each group of preset pollution analysis coefficient ranges corresponds to a group of preset sewage treatment coefficient ranges. It should be noted that the larger the value of the preset pollution analysis coefficient range, the smaller the value of the preset sewage treatment coefficient range that matches it. Compare the pollution analysis coefficient P with all preset pollution analysis coefficient ranges one by one, mark the preset pollution analysis coefficient range containing the corresponding pollution analysis coefficient P as the docking range, and mark the preset sewage treatment coefficient range corresponding to the docking range as the matching range; The sewage treatment coefficient is numerically compared with the matching range. If the sewage treatment coefficient is within the matching range, it indicates that the treatment efficiency of sewage treatment per unit time is good, and an efficiency control qualified signal is generated; if the sewage treatment coefficient is not within the matching range, it indicates that the treatment efficiency of sewage treatment per unit time does not meet the requirements, and an efficiency control unqualified signal is generated.

[0018] Furthermore, the efficiency control and analysis module is connected to the sewage input detection module. The sewage input detection module samples and tests the sewage entering the sewage pretreatment center. Through detection and analysis before the sewage is input, the sewage characteristic values are obtained and sent to the efficiency control and analysis module. This not only accurately feedbacks the pollution status of the input sewage, but also provides data support for the analysis process of the efficiency control and analysis module, ensuring the accuracy of its analysis results. The specific detection and analysis process of the sewage input detection module is as follows: Obtain the pollution parameters that need to be monitored in the sewage (such as suspended particulate matter, heavy metal substances, grease substances, etc.), collect the detection data of the corresponding pollution parameters in the sewage, and set a set of preset pollution weight values corresponding to each pollution parameter. It should be noted that all preset pollution weight values are positive numbers, and the greater the difficulty of processing the corresponding pollution parameter or the more polluting the corresponding pollution parameter is, the larger the value of the preset pollution weight value that matches it; The detection data of the corresponding pollution parameter is multiplied by the corresponding preset pollution weight value to obtain the pollution entry value, and the pollution entry values of all pollution parameters that need to be monitored are summed up to obtain the pollution characteristic value; among which, the larger the value of the pollution characteristic value, the more serious the real-time pollution of the input sewage.

[0019] The discharge risk analysis module will test and analyze the purified water after being treated by the sewage pretreatment center to determine whether the discharged purified water meets the requirements. Based on this, it will generate a discharge compliance signal or a discharge warning signal, and send the discharge compliance signal or discharge warning signal to the supervision and warning terminal; When the monitoring and early warning terminal receives the emission warning signal, it issues a corresponding warning, and the management personnel take corresponding remedial measures in a timely manner, such as secondary treatment of the discharged sewage to reduce the pollution caused to the external environment. This significantly reduces the difficulty of supervision for management personnel and has a high degree of intelligence. The specific analysis process of the emission risk analysis module is as follows: Obtain the detection data of the corresponding pollution parameters in the discharged clean water, and compare the detection data of the corresponding pollution parameters with the corresponding preset data requirements. If the detection data of the corresponding pollution parameters does not meet the corresponding preset data requirements, it indicates that the treatment of the corresponding pollution parameters is not up to standard, and the corresponding pollution parameters are marked as abnormal parameters; if there are abnormal parameters, it indicates that the current sewage treatment effect is not good and the discharge hazard is relatively large, and a discharge warning signal is generated; if there are no abnormal parameters, it indicates that the current sewage treatment effect is good and the discharge hazard is relatively small, and a discharge qualified signal is generated.

[0020] Example 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the supervision and early warning terminal is communicatively connected to the refined management evaluation module, and the refined management evaluation module is communicatively connected to the operating equipment monitoring module, the efficiency control analysis module, and the emission risk analysis module. The refined management evaluation module analyzes the management status of the sewage pretreatment center during the detection period, generates a management abnormality signal or a management normal signal through the analysis, and sends the management abnormality signal or the management normal signal to the supervision and early warning terminal; When the supervision and early warning terminal receives a management anomaly signal, it issues a corresponding warning to remind management personnel to adjust subsequent supervision plans, strengthen subsequent management of the sewage pretreatment center, ensure the safe, stable and continuous operation of the sewage treatment process, and further improve sewage treatment efficiency and treatment effects. The specific analysis process of the refined management evaluation module is as follows: A detection period is set, and the number of times efficiency control unqualified signals and emission warning signals are generated during the detection period are collected and marked as efficiency control frequency deviation values and emission frequency deviation values, respectively. The efficiency control frequency deviation values and emission frequency deviation values are numerically compared with the preset efficiency control frequency deviation thresholds and emission frequency deviation thresholds, respectively. If the efficiency control frequency deviation value or the emission frequency deviation value exceeds the corresponding preset threshold, indicating that the operation and management performance of the sewage treatment center during the detection period is poor, a management abnormality signal is generated; If both the efficiency control frequency deviation value and the discharge frequency deviation value do not exceed the corresponding preset thresholds, the number of times the corresponding sewage treatment equipment generates an operation warning signal during the detection period is collected and marked as the treatment frequency deviation value. The treatment frequency deviation value is numerically compared with the preset treatment frequency deviation threshold. If the treatment frequency deviation value exceeds the preset treatment frequency deviation threshold, it indicates that the operation control performance of the corresponding sewage treatment equipment during the detection period is poor, and the corresponding sewage treatment equipment is marked as a verification equipment; When generating an emission warning signal, all corresponding abnormal parameters are obtained, the number of times the corresponding pollution parameter is marked as an abnormal parameter during the detection period is defined as the abnormal frequency value, the abnormal frequency value is numerically compared with a preset abnormal frequency threshold value, and if the abnormal frequency value exceeds the preset abnormal frequency threshold value, indicating that the processing and control performance of the corresponding pollution parameter during the detection period is poor, the corresponding pollution parameter is marked as a high-frequency parameter; If there are verification equipment or high-frequency parameters during the detection period, indicating that the operation and management performance of the sewage treatment center during the detection period is poor, a management abnormality signal is generated.

[0021] Furthermore, if there is no verification equipment and high-frequency parameters during the detection period, the treatment frequency difference values of all sewage treatment equipment are averaged to obtain the treatment frequency difference coefficient, and the treatment frequency difference values of all pollution parameters are averaged to obtain the treatment frequency difference coefficient; The refined pipe evaluation value T is calculated by numerically calculating the effective pipe frequency difference value HY, the discharge frequency difference value SF, the treatment frequency difference coefficient XK, and the treatment frequency difference table coefficient GK using the formula T=sw×HY+up×SF+mu×XK+by×GK. Among them, sw, up, mu, and by are preset proportional coefficients with values greater than zero. The larger the value of the refined pipe evaluation value T, the worse the overall operation and management performance of the sewage treatment center during the detection period. The refined management evaluation value T is numerically compared with the preset refined management evaluation threshold. If the refined management evaluation value T exceeds the preset refined management evaluation threshold, it indicates that the operation and management performance of the sewage treatment center during the detection period is generally poor, and a management abnormality signal is generated; if the refined management evaluation value T does not exceed the preset refined management evaluation threshold, it indicates that the operation and management performance of the sewage treatment center during the detection period is generally good, and a management normal signal is generated.

[0022] The working principle of the present invention is as follows: when in use, the operation of all sewage treatment equipment in the sewage pretreatment center is monitored and its operation performance is analyzed through the operation equipment monitoring module, so as to realize effective monitoring of all sewage treatment equipment, which is conducive to ensuring the safe and stable operation of each sewage treatment equipment, and the sewage treatment efficiency control performance is analyzed through the efficiency control analysis module, and the sewage treatment efficiency control is strengthened when an efficiency control unqualified signal is generated, so that the sewage treatment efficiency is always within an appropriate range, and the sewage treatment effect is improved while ensuring the sewage treatment efficiency, and the clean water treated by the sewage pretreatment center is detected and analyzed through the discharge risk analysis module to determine whether the discharged clean water meets the requirements, and take corresponding remedial measures when a discharge warning signal is generated to reduce the pollution caused to the external environment. It has a high degree of intelligence and automation, which significantly reduces the workload of management personnel and the difficulty of supervision.

[0023] The above formulas are all dimensionless and calculated by taking their numerical values. The formula is a formula for the latest real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made based on the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can well understand and use the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A refined management system for sewage pretreatment center, characterized in that: It includes intelligent control module, operation equipment monitoring module, efficiency management and analysis module, emission risk analysis module, refined management assessment module and supervision and early warning terminal; The intelligent control module conducts two-way communication with the supervision and early warning terminal, and intelligently controls the operation of all sewage treatment equipment in the sewage pretreatment center based on control instructions. The operating equipment monitoring module monitors the operation of all sewage treatment equipment in the sewage pretreatment center, analyzes the operating performance of all sewage treatment equipment, and generates an operation qualification signal or operation early warning signal for the corresponding sewage treatment equipment through analysis, and sends the operation qualification signal or operation early warning signal of the corresponding sewage treatment equipment to the supervision and early warning terminal; The efficiency control analysis module analyzes the sewage treatment efficiency control performance, generates an efficiency control qualified signal or an efficiency control unqualified signal based on the analysis, and sends the efficiency control qualified signal or the efficiency control unqualified signal to the supervision and early warning terminal; The discharge risk analysis module will test and analyze the purified water after being treated by the sewage pretreatment center to determine whether the discharged purified water meets the requirements. Based on this, it will generate a discharge compliance signal or a discharge warning signal, and send the discharge compliance signal or discharge warning signal to the supervision and warning terminal; The refined management evaluation module will analyze the management status of the sewage pretreatment center during the detection period, generate a management abnormality signal or a management normal signal through analysis, and send the management abnormality signal or the management normal signal to the supervision and early warning terminal.

2. A refined management system for sewage pretreatment center according to claim 1, characterized in that: The specific analysis process of running the device monitoring module is as follows: The treatment monitoring value of the corresponding sewage treatment equipment is obtained by numerically calculating the treatment delay value, the total treatment hidden danger time value and the treatment hidden danger frequency table value. If the treatment monitoring value exceeds the corresponding preset treatment monitoring threshold, an operation warning signal of the corresponding sewage treatment equipment is generated; Otherwise, a qualified operation signal of the corresponding sewage treatment equipment is generated.

3. A refined management system for sewage pretreatment center according to claim 1, characterized in that: The specific analysis process of the efficiency control analysis module is as follows: The pollution analysis coefficient is obtained by numerically calculating the pollution pre-coefficient, the pollution characterization value, and the pollution amplitude characteristic value; the amount of sewage treated during the detection period is obtained and marked as the sewage treatment coefficient, the pollution analysis coefficient is compared with all preset pollution analysis coefficient ranges one by one, the preset pollution analysis coefficient range containing the corresponding pollution analysis coefficient is marked as the docking range, and the preset sewage treatment coefficient range corresponding to the docking range is marked as the matching range; if the sewage treatment coefficient is within the matching range, an efficiency control qualified signal is generated; Otherwise, an efficiency control failure signal is generated.

4. A refined management system for sewage pretreatment center according to claim 3, characterized in that: The efficiency control and analysis module is communicatively connected to the sewage input detection module. The sewage input detection module samples and detects the sewage entering the sewage pretreatment center, obtains the sewage characteristic value through detection and analysis before the sewage is input, and sends the sewage characteristic value to the efficiency control and analysis module.

5. A refined management system for sewage pretreatment center according to claim 4, characterized in that: The specific detection and analysis process of the sewage input detection module is as follows: Obtain the pollution parameters that need to be monitored in the sewage, multiply the detection data of the corresponding pollution parameters by the corresponding preset pollution weight value to obtain the pollution entry value, and sum up the pollution entry values of all pollution parameters that need to be monitored to obtain the pollution characteristic value.

6. A refined management system for sewage pretreatment center according to claim 1, characterized in that: The specific analysis process of the emission risk analysis module is as follows: The detection data of the corresponding pollution parameters in the discharged clean water are obtained. If there are abnormal parameters, a discharge warning signal is generated; if there are no abnormal parameters, a discharge qualified signal is generated.

7. The refined management system for sewage pretreatment center according to claim 1 is characterized in that: The specific analysis process of the refined management evaluation module is as follows: The number of times efficiency control unqualified signals and emission warning signals are generated during the detection period is collected and marked as efficiency control frequency deviation values and emission frequency deviation values respectively. If the efficiency control frequency deviation value or the emission frequency deviation value exceeds the corresponding preset threshold, a management abnormality signal is generated.

8. A refined management system for sewage pretreatment center according to claim 7, characterized in that: If the efficiency control frequency deviation value and the emission frequency deviation value do not exceed the corresponding preset threshold value, it is determined whether there are verification equipment and high-frequency parameters within the detection period. If there are verification equipment or high-frequency parameters within the detection period, a management abnormality signal is generated.

9. A refined management system for sewage pretreatment center according to claim 8, characterized in that: If there is no verification equipment and high-frequency parameters during the detection period, the refined pipe evaluation value is obtained by numerically calculating the effective pipe frequency difference value, emission frequency difference value, treatment matching coefficient and treatment frequency difference table coefficient. If the refined pipe evaluation value exceeds the preset refined pipe evaluation threshold, a management abnormality signal is generated; if the refined pipe evaluation value does not exceed the preset refined pipe evaluation threshold, a management normal signal is generated.

Citation Information

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