Community secondary water supply AI frequency conversion energy-saving control method and system

Abstract

The present application relates to water pump frequency conversion control, secondary water supply energy saving, edge computing control, industrial communication and energy consumption metering technical field, and disclose a kind of district secondary water supply AI frequency conversion energy-saving control method and system, wherein district secondary water supply AI frequency conversion energy-saving control method includes the following steps: S1, real-time data acquisition;S2, automatic mode initialization;S3, preheating stabilization;S4, baseline establishment;S5, steady-state operation monitoring;S6, low pressure protection;S7, optimization allowed judgment;S8, frequency reduction trial;S9, trial result evaluation;S10, accept better frequency;S11, failure fallback;S12, lock keep and data output;The present application is different from the control target of only maintaining pressure of traditional constant pressure water supply, and the real measured power of three-phase watt-hour meter is used as the optimization target, and the lowest energy consumption operating point of water pump is actively found by automatic optimization mechanism, which can effectively reduce the long-term operation energy consumption of water pump, especially in low load working condition Energy saving advantage is obvious, effectively solve the problem of high energy consumption of traditional system.

Description

Technical Field

[0001] This invention belongs to the fields of water pump frequency conversion control, secondary water supply energy saving, edge computing control, industrial communication and energy consumption metering technology, specifically an AI frequency conversion energy saving control method and system for secondary water supply in residential communities. Background Technology

[0002] The secondary water supply system in residential communities is a core infrastructure ensuring residents' normal water use. It mainly consists of a constant pressure water supply control system composed of pressure sensors, frequency converters, and water pumps. Its core function is to maintain stable pipeline pressure to meet residents' daily water needs. Currently, traditional constant pressure water supply schemes mostly use fixed PID control or fixed pressure setpoints as their core control logic. Their control objective focuses solely on maintaining the pipeline pressure within a preset range, without actively seeking the lowest energy consumption operating point for the water pumps while ensuring safe water supply pressure. This results in significant energy waste in the system.

[0003] The water demand in the community exhibits significant diurnal fluctuations. At night and during off-peak hours, the actual water consumption drops sharply, and the water supply network pressure has a certain margin. However, the traditional constant pressure water supply system still maintains a high pump operating frequency, resulting in the pumps operating in an inefficient state for a long time, which further exacerbates the problem of energy waste.

[0004] Existing energy-saving renovation schemes for secondary water supply systems still have many technical shortcomings, specifically: First, the speed regulation relies solely on the network pressure for inverter speed control, lacking automatic optimization based on the actual active power measured by the three-phase electricity meter, thus failing to accurately identify the pump's lowest energy consumption operating point; second, the commissioning process heavily depends on manual experience. Differences in network resistance, water usage habits, and pump characteristics across different communities make manual parameter adjustments difficult to achieve optimal system adaptation, resulting in poor project replicability and high subsequent maintenance costs; third, the frequency reduction control lacks a robust safety mechanism. The lack of a pressure safety lower limit, pressure recovery threshold, automatic backoff, and lock-in mechanism during frequency reduction can easily lead to problems such as pipeline pressure fluctuations and frequent frequency adjustments, affecting water supply safety. Fourth, the use of single-point instantaneous data as the basis for control judgment without setting a stable time window makes it susceptible to factors such as instantaneous power fluctuations, communication glitches, and sensor anomalies, leading to misjudgments in control decisions. Fifth, the lack of an authorized parameter configuration and closed-loop mechanism for operational data for on-site engineers makes it difficult to flexibly adapt to the operational needs of different communities and support large-scale project replication and subsequent operation and maintenance management.

[0005] Furthermore, while some existing AI-based water supply solutions emphasize model or scenario recognition, their control details are vague, lacking clear procedures for frequency reduction testing, result evaluation, and rollback locking, making them difficult to implement in engineering. Some variable frequency energy-saving solutions rely on manually setting frequencies or fixed strategies, failing to achieve automatic optimization and resulting in limited energy-saving effects. Therefore, developing a highly adaptable and reliable AI variable frequency energy-saving control method and system for community secondary water supply that can achieve automatic energy-saving optimization while ensuring water supply safety has become a pressing technical challenge in this field.

[0006] Based on this, an AI variable frequency energy-saving control method and system for secondary water supply in residential communities is designed. Summary of the Invention

[0007] In view of the above situation and to overcome the shortcomings of the prior art, the present invention provides an AI variable frequency energy-saving control method and system for secondary water supply in residential communities, which effectively solves the problems mentioned in the background.

[0008] To achieve the above objectives, the present invention provides the following technical solution: an AI variable frequency energy-saving control method for secondary water supply in residential communities, comprising the following steps: S1. Real-time data collection: The AI ​​edge control unit collects water pump operating frequency, inverter set frequency, secondary water supply network pressure, three-phase electricity meter real-time active power, three-phase electricity meter cumulative energy, and health status data of each device according to a preset sampling period; the device health status data includes electricity meter communication status, pressure sensor communication status, inverter operating status, and background service operating status. S2. Automatic mode initialization: When the system is switched to automatic operation mode and the water pump is in normal operation, the AI ​​edge control unit starts the frequency converter or confirms that the frequency converter is in operation, and sets the output frequency of the frequency converter to a preset initial frequency; the initial frequency is a preset fixed value in the range of 30.00-50.00Hz. S3. Preheating Stabilization: The system enters the preheating state and does not perform any energy-saving optimization operations within the preset preheating time. It continuously collects the operating data of each device and waits for the water pump operating status, pipeline pressure data, and electricity meter power data to reach a stable state. The preset preheating time is not less than 30 seconds. S4. Establishing a Baseline: Under the initial frequency operation state, the AI ​​edge control unit continuously collects operating data for multiple stable windows. The duration of each stable window is 30 seconds, and sampling is performed every 5 seconds. The average power of the electricity meter, the average pressure of the pipeline network, and the minimum pressure of the pipeline network within each stable window are calculated. When the collected data of three or more consecutive stable windows are valid and the minimum pressure of the pipeline network is not lower than the preset pressure safety lower limit and the average pressure of the pipeline network is not lower than the preset pressure recovery threshold, the current initial frequency is recorded as the baseline frequency, and the average power of the electricity meter in the consecutive stable windows is recorded as the baseline power, thus completing the baseline establishment. S5. Steady-state operation monitoring: After the baseline is established, the system enters the steady-state operation state. The AI ​​edge main control unit periodically collects stable window data. The stable window parameters are the same as in step S4. The system monitors the pipeline pressure, meter power and equipment health status in real time to determine whether the energy-saving optimization conditions are met. S6. Low Pressure Protection: During steady-state operation monitoring, if the minimum pressure of the pipeline network in any stable window is lower than the preset pressure safety lower limit, the AI ​​edge control unit will immediately prohibit any frequency reduction operation and increase the inverter output frequency according to the preset frequency increase step size until the minimum pressure of the pipeline network rises back to above the pressure safety lower limit, or maintains the operation of the previous safe frequency. S7. Optimization Allowance Judgment: If, within the stable window of steady-state operation monitoring, the average pressure of the pipeline network reaches the preset pressure recovery threshold, the equipment health status is normal, the power and pressure data of the electricity meters are both valid, and the time interval since the last optimization operation is not less than the preset optimization interval, then the system is allowed to enter the frequency reduction trial phase; the pressure recovery threshold is higher than the lower limit of pressure safety, forming a hysteresis interval to prevent frequent frequency adjustments, and the preset optimization interval is 180 seconds; S8. Frequency reduction test: The AI ​​edge control unit reduces the inverter's set frequency by a preset optimization step size of 1.00Hz. After the frequency reduction is completed, wait for a preset test stabilization time of not less than 30 seconds. After the system operation is stable, collect the operation data of a stable window again. The parameters of the stable window are the same as those in step S4. S9. Evaluation of the trial results: The AI ​​edge control unit compares the average power of the electricity meter within the stable window collected in step S8 with the historical best power, and at the same time checks whether the minimum pressure of the pipeline network within the stable window is lower than the preset pressure safety limit; the initial value of the historical best power is the baseline power established in step S4, and is subsequently updated in real time with the reception of the better frequency. S10. Accept the better frequency: If the average power of the electricity meter in the stable window collected in step S8 is lower than the historical best power and reaches the preset power improvement threshold, and the minimum pressure of the pipeline is not lower than the preset pressure safety limit, then the frequency after the frequency reduction test is accepted as the candidate optimal frequency, the average power of the electricity meter in the stable window is updated to the historical best power, and the current candidate optimal frequency, average power of the electricity meter and pipeline pressure data are recorded. S11. Failure Rollback: If the stable window data collected in step S8 is invalid, the minimum pressure of the pipeline is lower than the preset pressure safety limit, the average power of the electricity meter is higher than the historical best power and reaches the preset power deterioration threshold, or the decrease in the average power of the electricity meter does not reach the preset power improvement threshold, then the frequency reduction attempt is determined to have failed; the AI ​​edge master control unit controls the frequency converter to immediately roll back to the previous safe frequency, and records the reason for the rollback. After the rollback is completed, the system returns to the steady-state operation state and waits for the next optimization permission judgment; S12, Lock-in and Data Output: After accepting the optimal frequency in step S10, the system enters the lock-in state and will not perform any frequency reduction test operations for a preset lock-in time of 300 seconds. During the lock-in period, the AI ​​edge control unit continuously collects operating data and outputs the system's automatic operating status, candidate optimal frequency, real-time pipeline pressure, real-time meter power, energy saving rate, and cumulative power saving to the HMI interaction unit in real time. At the same time, it monitors the health status of the equipment and immediately triggers a fault alarm if any abnormality occurs.

[0009] Preferably, the preset pressure safety lower limit is 0.35 MPa, the preset pressure recovery threshold is 0.36 MPa; the preset power improvement threshold is 5% of the baseline power, and the preset power degradation threshold is 3% of the baseline power.

[0010] Preferably, in step S1, the AI ​​edge control unit collects the power and pressure data of the electricity meter through the 485 isolated communication unit, and collects the operating frequency of the water pump and the set frequency of the frequency converter through the frequency conversion drive unit. The collection period is 5 seconds. The valid judgment criteria for the data are: the power data of the electricity meter is within the range of 0-5000W, the pipeline pressure data is within the range of 0.20-0.50MPa, and the fluctuation range of the three consecutive sampling data does not exceed 5%.

[0011] Preferably, the system also includes an HMI authorization parameter configuration step: After verification by the engineer's password and unlocking via magic number through the HMI interaction unit, the preset initial frequency, frequency upper and lower limits, optimization step size, pressure safety lower limit, pressure recovery threshold, warm-up time, stabilization window duration, optimization interval, lockout time, power improvement threshold, and power degradation threshold are configured. After the parameters are configured, the system automatically verifies the validity of the parameters. If the verification passes, the configuration parameters are saved and displayed to the HMI interaction unit. If the verification fails, the parameter writing is rejected and an error message is displayed.

[0012] Preferably, the method also includes an energy-saving data statistics step: the AI ​​edge control unit calculates the real-time power saving, energy saving rate, and cumulative power saving based on the baseline power established in step S4 and the real-time collected meter power. The real-time power saving = baseline power - real-time meter power, the energy saving rate = (real-time power saving / baseline power) × 100%, and the cumulative power saving is the integral value of the real-time power saving over time. At the same time, the cumulative amount of savings is calculated in conjunction with the preset electricity price, and the above energy-saving data is saved locally in a persistent manner, and the data can be automatically restored after a power outage and restart.

[0013] Preferably, it also includes fault protection steps: if abnormal communication of the electricity meter, abnormal communication of the pressure sensor, failure of frequency inverter writing, insufficient valid points of data in the sampling window, or failure of automatic rollback is detected, the AI ​​edge control unit immediately stops the current round of energy-saving optimization operation, triggers a fault alarm and records the fault information, and controls the frequency inverter to maintain the previous safe frequency operation; if the fault is a serious abnormality, the system enters the fault lockout state, stops all automatic adjustment operations, and waits for manual reset.

[0014] A community secondary water supply AI variable frequency energy-saving control system is used to execute the community secondary water supply AI variable frequency energy-saving control method described above. It includes an AI edge master control unit, a pressure acquisition unit, an electricity meter power acquisition unit, a variable frequency drive unit, a 485 isolation communication unit, an HMI interaction unit, a fault protection unit, and an energy-saving data recording unit. The units interact with each other through a preset communication protocol. The system is integrated in an AI energy-saving control cabinet.

[0015] Preferably, the AI ​​edge master control unit is the core control unit of the entire system. It adopts an industrial-grade edge controller, runs industrial control programs, and is used to run automatic optimization state machine, pressure protection logic, meter power evaluation logic, HMI communication and fault management, execute any of the control methods described above, and coordinate the collaborative work of each unit.

[0016] Preferably, the pressure acquisition unit consists of a pressure transmitter, used to acquire pressure data from the secondary water supply network. After converting the acquired analog pressure signal into a digital signal, it is transmitted to the AI ​​edge control unit through a 485 isolated communication unit, serving as the core basis for judging the lower limit of pressure safety, the pressure recovery threshold, and the allowable condition of frequency reduction. The power acquisition unit consists of a three-phase energy meter, which transmits real-time active power and cumulative energy data to the AI ​​edge control unit through an RS485 / Modbus communication protocol and a 485 isolated communication unit, serving as the true metering basis for energy-saving optimization and energy-saving statistics.

[0017] Preferably, the system can be adapted to secondary water supply scenarios in residential communities with single pumps, multiple pumps in parallel, or one pump in use and one in standby. When adapting to scenarios with multiple pumps in parallel or one pump in use and one in standby, the AI ​​edge control unit prioritizes the currently operating main pump as the energy-saving optimization target. If the system switches to the standby pump or the number of operating pumps changes, the system automatically re-enters the preheating state and baseline establishment state, and re-establishes the baseline power and baseline frequency to avoid control misjudgment caused by using the old baseline.

[0018] Compared with the prior art, the beneficial effects of the present invention are: 1. The present invention has significant energy-saving effect. Unlike the traditional constant pressure water supply which only maintains the control target of pressure, the present invention uses the actual measured power of the three-phase meter as the optimization target. Through the automatic optimization mechanism, it actively finds the lowest energy consumption operating point of the water pump, which can effectively reduce the long-term energy consumption of the water pump. Especially under low load conditions, the energy-saving advantage is obvious, and it effectively solves the problem of high energy consumption in traditional systems. 2. This invention ensures safe water supply by setting a pressure safety lower limit and a recovery threshold to form a hysteresis protection range. Combined with the judgment of the minimum pressure within the stable window, it avoids insufficient pressure caused by simply reducing the frequency. The comprehensive fault protection mechanism can promptly handle equipment and communication anomalies, ensuring long-term stable operation of the system and guaranteeing normal water use for residents. 3. This invention has a high degree of automation, realizing fully automated energy-saving optimization without manual intervention. It solves the problems of difficult manual parameter adjustment and poor project replicability in traditional solutions. It can flexibly adapt to the pipe network resistance, water usage habits and pump characteristics of different communities, reducing the later operation and maintenance costs. 4. This invention provides precise control decisions by using the average power and minimum pressure within a stable time window as the basis for judgment, avoiding misjudgments caused by factors such as instantaneous data fluctuations; it uses the actual power measured by the electricity meter as the optimization target, without relying on the frequency converter to estimate the power, thus improving the accuracy of optimization. 5. This invention has strong engineering adaptability and can be flexibly adapted to various secondary water supply scenarios in residential communities, such as single pump, multiple pumps in parallel, and one pump in use and one in standby. Through HMI authorized parameter configuration, it can adapt to the operation needs of different communities and support the replication of large-scale projects. 6. The energy-saving effect of this invention is traceable. Through the energy-saving data recording unit, the baseline power, cumulative power saving and other data are stored locally and persistently without being lost when power is off, providing accurate data support for customer acceptance, EMC settlement and subsequent operation and maintenance. 7. This invention is easy to operate and maintain, with a complete fault protection mechanism and HMI data closed loop, which can monitor equipment status in real time and provide feedback on fault information, making it easy to quickly troubleshoot problems; no need for continuous manual on-duty monitoring, reducing operation and maintenance costs and labor intensity. Attached Figure Description

[0019] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0020] In the attached diagram: Figure 1 This is a flowchart of the method steps of the present invention; Detailed Implementation

[0021] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0022] Depend on Figure 1 The present invention provides an AI variable frequency energy-saving control method for secondary water supply in residential communities, comprising the following steps: S1. Real-time data collection: The AI ​​edge control unit collects data on water pump operating frequency, inverter set frequency, secondary water supply network pressure, real-time active power of three-phase electricity meters, cumulative energy of three-phase electricity meters, and equipment health status data at a sampling period of 5 seconds. The valid data judgment criteria are electricity meter power 0-5000W, network pressure 0.20-0.50MPa, and fluctuations of no more than 5% in 3 consecutive samplings.

[0023] S2. Automatic mode initialization: When the system switches to automatic operation mode and the water pump is running normally, the AI ​​edge control unit starts or confirms the operation of the frequency converter and sets its output frequency to a preset initial frequency within the range of 30.00-50.00Hz.

[0024] S3. Preheating Stability: The system enters the preheating state, with a preheating time of not less than 30 seconds. During this period, energy-saving optimization is not performed, and data is continuously collected until the water pump, pipeline pressure, and electricity meter power status are stable.

[0025] S4. Establishing a baseline: At the initial frequency, continuously collect data from multiple stable windows of 30 seconds each (sampled once every 5 seconds), and calculate the average power of the meter, the average pressure of the pipeline, and the minimum pressure of the pipeline in each window; when three or more consecutive windows of data are valid, and the minimum pressure of the pipeline is ≥ the preset pressure safety lower limit and the average pressure of the pipeline is ≥ the preset pressure recovery threshold, record the baseline frequency and baseline power to complete the baseline establishment.

[0026] S5. Steady-state operation monitoring: After the baseline is established, the system enters steady-state operation and collects data at a cycle of 30 seconds / window to monitor pipeline pressure, meter power and equipment health status in real time, and determine whether the optimization conditions are met.

[0027] S6. Low Pressure Protection: If the minimum pressure of any stable pipeline window is lower than the preset safety lower limit, the frequency reduction will be immediately prohibited, and the frequency will be increased in increments of 1.00Hz until the pressure rises back to above the safety lower limit, or the previous safe frequency will be maintained and an alarm will be triggered.

[0028] S7. Optimization Allowance Judgment: When the average pressure of the pipeline network is greater than or equal to the preset pressure recovery threshold, the equipment is normal, the data is valid, and the interval since the last optimization is greater than or equal to 180 seconds, the frequency reduction test is allowed; if the pressure recovery threshold is higher than the safety lower limit, a hysteresis interval is formed to avoid frequent frequency adjustment.

[0029] S8. Frequency Reduction Probe: Reduce the inverter frequency in 1.00Hz increments, wait for a stabilization time of no less than 30 seconds after frequency reduction, and collect a stable window of data for subsequent evaluation.

[0030] S9. Evaluation of trial results: Compare the average power of the collected electricity meters with the historical best power (initially the baseline power), and check whether the minimum pressure of the pipeline is lower than the preset pressure safety limit; the preset power improvement threshold is 5% of the baseline power, and the power deterioration threshold is 3% of the baseline power.

[0031] S10. Accept the optimal frequency: If the average power of the meter is lower than the historical best power and reaches the power improvement threshold, and the minimum pressure of the pipeline is greater than or equal to the preset pressure safety limit, accept the frequency, update the historical best power and record the relevant data.

[0032] S11. Failure rollback: If the data is invalid, the pressure is insufficient, the power deteriorates, or the power improvement does not reach the threshold, the attempt is judged to have failed, rollback to the previous safe frequency, the reason for rollback is recorded, and the system returns to steady-state operation.

[0033] S12, Lock-in and Data Output: After accepting a better frequency, it enters a 300-second lock-in state. During this period, it does not perform frequency reduction testing, outputs real-time operation and energy-saving data, monitors equipment status, and immediately alarms when abnormalities occur. After the lock-in time ends, it returns to steady-state operation to continue seeking optimization.

[0034] Corresponding to the above method, the present invention also provides an AI variable frequency energy-saving control system for secondary water supply in residential communities. This invention system is integrated into an AI energy-saving control cabinet and adopts a modular design, facilitating installation, debugging, and subsequent maintenance. Specifically, it consists of an AI edge control unit, a pressure acquisition unit, a power meter acquisition unit, a frequency converter drive unit, a 485 isolation communication unit, an HMI interaction unit, a fault protection unit, and an energy-saving data recording unit. The functions of each unit are as follows: 1) AI Edge Control Unit: As the core control unit of the entire system, it adopts an industrial-grade edge controller and runs industrial control programs. Its core functions include running an automatic optimization state machine, executing the control method described in this invention, running pressure protection logic and meter power evaluation logic, realizing data communication with each unit, managing the overall operating status of the system, and recording operating and fault data.

[0035] 2) Pressure Acquisition Unit: Composed of pressure transmitters, installed at preset monitoring points in the secondary water supply network, used to collect network pressure data in real time. After converting analog signals into digital signals, the data is transmitted to the AI ​​edge control unit through the 485 isolation communication unit, serving as the core basis for pressure safety judgment and frequency reduction allowable conditions.

[0036] 3) Electricity meter power acquisition unit: It consists of a three-phase electricity meter and is connected to the water pump motor circuit. Through the RS485 / Modbus communication protocol, it transmits real-time active power and cumulative electricity data to the AI ​​edge control unit via the 485 isolation communication unit, which serves as the true metering basis for energy-saving optimization and energy-saving statistics.

[0037] 4) Variable frequency drive unit: Connects the AI ​​edge control unit and the water pump. It is used to receive the frequency set value, control the water pump operating frequency, collect water pump operating status data and feed it back to the AI ​​edge control unit to provide support for control decisions.

[0038] 5) RS485 isolated communication unit: An isolated RS485 communication module is adopted to realize industrial communication between the AI ​​edge control unit and each acquisition unit and frequency conversion drive unit, while realizing electrical isolation and improving the system's anti-interference capability and communication stability.

[0039] 6) HMI Interaction Unit: Adopts an industrial touch screen and achieves bidirectional data interaction with the AI ​​edge control unit through Modbus TCP or equivalent communication protocol. It is divided into read-only status area, inverter data area, sensor data area, energy saving data area, control command area, parameter configuration area and baseline configuration area, realizing the functions of displaying operating status, inputting control commands, configuring authorized parameters and displaying data.

[0040] 7) Fault Protection Unit: Connected to each unit, it monitors the equipment operation and communication status in real time, presets abnormal judgment criteria, and immediately sends an abnormal signal to the AI ​​edge master control unit when an abnormality is detected, triggering protection actions such as alarm, stopping optimization or fault locking.

[0041] 8) Energy-saving data recording unit: Connected to the AI ​​edge control unit, it uses local persistent storage to record data such as baseline power, real-time power saving, energy saving rate, and cumulative power saving, ensuring that data is not lost after power failure, and also supports data display to the HMI interaction unit.

[0042] Example 1: Energy-saving renovation of secondary water supply system in a single-pump residential area A community pumping station is equipped with a variable frequency water pump. The original system could maintain a constant pressure water supply, but it still operated at a higher frequency for extended periods at night when the flow rate was low. After the system of this invention was connected, the AI ​​main controller reads the real-time power and cumulative energy of the three-phase electricity meter through the RS485 isolation interface, reads the pipeline pressure through the pressure sensor, writes the frequency setpoint through the frequency converter communication interface, and displays the operating status through the HMI.

[0043] After the system switches to automatic mode, it operates at the initial frequency and establishes a baseline. When the pressure exceeds the pressure recovery threshold, the system attempts to reduce the frequency in 1Hz steps. After each attempt, it waits for a stabilization period before collecting meter power and pressure data within a 30-second window. If the average meter power decreases and the minimum pressure in the window does not fall below the safety lower limit, the system accepts the frequency; otherwise, it reverts. Once accepted, the system locks the frequency for 300 seconds to reduce frequent adjustments.

[0044] Example 2: Multi-pump parallel or one-in-use-one-standby water supply system In a community secondary water supply system with multiple pumps in parallel or one pump in operation and one in standby, this invention can use the currently operating main pump as the optimization target. The AI ​​master controller first confirms the status of the currently operating pump, the communication status of the frequency converter, and the pressure status; when the pressure safety margin is met, it performs a frequency reduction test on the main operating pump. If the system switches to the standby pump or the number of operating pumps changes, it re-enters the preheating and baseline establishment stage to avoid misjudgment caused by using the old baseline.

[0045] Example 3: Project delivery method with customer energy-saving demonstration In commercial delivery, engineers can authorize the HMI to write the customer's pre-installation average power as a baseline. In automatic mode, once the baseline is established, the system calculates power savings based on the difference between the customer's baseline power and the real-time meter reading, and accumulates the savings over time. The HMI displays real-time energy saving rate, cumulative energy savings, and cumulative savings amount, for customer acceptance, operational demonstrations, or subsequent energy performance contracting. It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0046] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A cell secondary water supply AI variable frequency energy-saving control method, characterized in that: Includes the following steps: S1. Real-time data collection: The AI ​​edge control unit collects water pump operating frequency, inverter set frequency, secondary water supply network pressure, three-phase electricity meter real-time active power, three-phase electricity meter cumulative energy, and health status data of each device according to a preset sampling period; the device health status data includes electricity meter communication status, pressure sensor communication status, inverter operating status, and background service operating status. S2. Automatic mode initialization: When the system is switched to automatic operation mode and the water pump is in normal operation, the AI ​​edge control unit starts the frequency converter or confirms that the frequency converter is in operation, and sets the output frequency of the frequency converter to a preset initial frequency; the initial frequency is a preset fixed value in the range of 30.00-50.00Hz. S3. Preheating Stabilization: The system enters the preheating state and does not perform any energy-saving optimization operations within the preset preheating time. It continuously collects the operating data of each device and waits for the water pump operating status, pipeline pressure data, and electricity meter power data to reach a stable state. The preset preheating time is not less than 30 seconds. S4. Establishing a Baseline: Under the initial frequency operation state, the AI ​​edge control unit continuously collects operating data for multiple stable windows. The duration of each stable window is 30 seconds, and sampling is performed every 5 seconds. The average power of the electricity meter, the average pressure of the pipeline network, and the minimum pressure of the pipeline network within each stable window are calculated. When the collected data of three or more consecutive stable windows are valid and the minimum pressure of the pipeline network is not lower than the preset pressure safety lower limit and the average pressure of the pipeline network is not lower than the preset pressure recovery threshold, the current initial frequency is recorded as the baseline frequency, and the average power of the electricity meter in the consecutive stable windows is recorded as the baseline power, thus completing the baseline establishment. S5. Steady-state operation monitoring: After the baseline is established, the system enters the steady-state operation state. The AI ​​edge main control unit periodically collects stable window data. The stable window parameters are the same as in step S4. The system monitors the pipeline pressure, meter power and equipment health status in real time to determine whether the energy-saving optimization conditions are met. S6. Low Pressure Protection: During steady-state operation monitoring, if the minimum pressure of the pipeline network in any stable window is lower than the preset pressure safety lower limit, the AI ​​edge control unit will immediately prohibit any frequency reduction operation and increase the inverter output frequency according to the preset frequency increase step size until the minimum pressure of the pipeline network rises back to above the pressure safety lower limit, or maintains the operation of the previous safe frequency. S7. Optimization Allowance Judgment: If, within the stable window of steady-state operation monitoring, the average pressure of the pipeline network reaches the preset pressure recovery threshold, the equipment health status is normal, the power and pressure data of the electricity meters are both valid, and the time interval since the last optimization operation is not less than the preset optimization interval, then the system is allowed to enter the frequency reduction trial phase; the pressure recovery threshold is higher than the lower limit of pressure safety, forming a hysteresis interval to prevent frequent frequency adjustments, and the preset optimization interval is 180 seconds; S8. Frequency reduction test: The AI ​​edge control unit reduces the inverter's set frequency by a preset optimization step size of 1.00Hz. After the frequency reduction is completed, wait for a preset test stabilization time of not less than 30 seconds. After the system operation is stable, collect the operation data of a stable window again. The parameters of the stable window are the same as those in step S4. S9. Evaluation of the trial results: The AI ​​edge control unit compares the average power of the electricity meter within the stable window collected in step S8 with the historical best power, and at the same time checks whether the minimum pressure of the pipeline network within the stable window is lower than the preset pressure safety limit; the initial value of the historical best power is the baseline power established in step S4, and is subsequently updated in real time with the reception of the better frequency. S10. Accept the better frequency: If the average power of the electricity meter in the stable window collected in step S8 is lower than the historical best power and reaches the preset power improvement threshold, and the minimum pressure of the pipeline is not lower than the preset pressure safety limit, then the frequency after the frequency reduction test is accepted as the candidate optimal frequency, the average power of the electricity meter in the stable window is updated to the historical best power, and the current candidate optimal frequency, average power of the electricity meter and pipeline pressure data are recorded. S11. Failure Rollback: If the stable window data collected in step S8 is invalid, the minimum pressure of the pipeline is lower than the preset pressure safety limit, the average power of the electricity meter is higher than the historical best power and reaches the preset power deterioration threshold, or the decrease in the average power of the electricity meter does not reach the preset power improvement threshold, then the frequency reduction attempt is determined to have failed; the AI ​​edge master control unit controls the frequency converter to immediately roll back to the previous safe frequency, and records the reason for the rollback. After the rollback is completed, the system returns to the steady-state operation state and waits for the next optimization permission judgment; S12, Lock-in and Data Output: After accepting the optimal frequency in step S10, the system enters the lock-in state and will not perform any frequency reduction test operations for a preset lock-in time of 300 seconds. During the lock-in period, the AI ​​edge control unit continuously collects operating data and outputs the system's automatic operating status, candidate optimal frequency, real-time pipeline pressure, real-time meter power, energy saving rate, and cumulative power saving to the HMI interaction unit in real time. At the same time, it monitors the health status of the equipment and immediately triggers a fault alarm if any abnormality occurs.

2. The AI variable frequency energy-saving control method for secondary water supply of a cell according to claim 1, characterized in that, The preset pressure safety lower limit is 0.35 MPa, and the preset pressure recovery threshold is 0.36 MPa; the preset power improvement threshold is 5% of the baseline power, and the preset power degradation threshold is 3% of the baseline power.

3. The AI variable frequency energy-saving control method for secondary water supply of a cell according to claim 1, characterized in that, In step S1, the AI ​​edge control unit collects the power and pressure data of the electricity meter through the 485 isolated communication unit, and collects the operating frequency of the water pump and the set frequency of the frequency converter through the frequency conversion drive unit. The collection period is 5 seconds. The valid judgment criteria for the data are: the power data of the electricity meter is within the range of 0-5000W, the pipeline pressure data is within the range of 0.20-0.50MPa, and the fluctuation range of the three consecutive sampling data does not exceed 5%.

4. The AI variable frequency energy-saving control method for secondary water supply of a cell according to claim 1, characterized in that, It also includes HMI authorization parameter configuration steps: After verification by the engineer's password and unlocking by magic number through the HMI interaction unit, the preset initial frequency, frequency upper and lower limits, optimization step size, pressure safety lower limit, pressure recovery threshold, warm-up time, stabilization window duration, optimization interval, lockout time, power improvement threshold, and power degradation threshold are configured; after the parameter configuration is completed, the system automatically verifies the validity of the parameters. If the verification is successful, the configuration parameters are saved and displayed back to the HMI interaction unit; if the verification fails, the parameter writing is rejected and an error message is displayed.

5. The AI variable frequency energy-saving control method for secondary water supply of a cell according to claim 1, characterized in that, It also includes an energy-saving data statistics step: The AI ​​edge control unit calculates the real-time power saving, energy saving rate, and cumulative electricity saving based on the baseline power established in step S4 and the real-time collected electricity meter power. Among them, the real-time power saving = baseline power - real-time electricity meter power, the energy saving rate = (real-time power saving / baseline power) × 100%, and the cumulative electricity saving is the integral value of the real-time power saving over time. At the same time, combined with the preset electricity price, the cumulative amount of savings is calculated, and the above energy-saving data is saved locally in a persistent manner. The data can be automatically restored after a power outage and restart.

6. The AI variable frequency energy-saving control method for secondary water supply of a cell according to claim 1, characterized in that, It also includes fault protection steps: if abnormal communication of the electricity meter, abnormal communication of the pressure sensor, failure of frequency inverter writing, insufficient valid data points in the sampling window, or failure of automatic rollback is detected, the AI ​​edge control unit immediately stops the current round of energy-saving optimization operation, triggers a fault alarm and records the fault information, and controls the frequency inverter to maintain the previous safe frequency operation; if the fault is a serious abnormality, the system enters the fault lockout state, stops all automatic adjustment operations, and waits for manual reset.

7. A small cell secondary water supply AI variable frequency energy-saving control system, characterized in that, The method for implementing the AI ​​variable frequency energy-saving control method for secondary water supply in residential communities as described in any one of claims 1-6 includes an AI edge control unit, a pressure acquisition unit, an electricity meter power acquisition unit, a variable frequency drive unit, a 485 isolation communication unit, an HMI interaction unit, a fault protection unit, and an energy-saving data recording unit. The units interact with each other through a preset communication protocol, and the system is integrated in an AI energy-saving control cabinet.

8. The AI variable frequency energy-saving control system for secondary water supply of a cell according to claim 7, characterized in that, The AI ​​edge control unit is the core control unit of the entire system. It adopts an industrial-grade edge controller, runs industrial control programs, and is used to run automatic optimization state machine, pressure protection logic, meter power evaluation logic, HMI communication and fault management, execute the control method described in any one of claims 1-6, and coordinate the collaborative work of each unit.

9. The AI variable frequency energy-saving control system for secondary water supply of a cell according to claim 7, characterized in that, The pressure acquisition unit consists of a pressure transmitter, used to collect pressure data from the secondary water supply network. After converting the collected analog pressure signal into a digital signal, it is transmitted to the AI ​​edge control unit through a 485 isolated communication unit, serving as the core basis for judging the lower limit of pressure safety, the pressure recovery threshold, and the allowable condition of frequency reduction. The power acquisition unit consists of a three-phase energy meter, which transmits real-time active power and cumulative energy data to the AI ​​edge control unit through an RS485 / Modbus communication protocol and a 485 isolated communication unit, serving as the true metering basis for energy-saving optimization and energy-saving statistics.

10. The AI variable frequency energy-saving control system for secondary water supply of a cell according to claim 7, characterized in that, The system can adapt to single-pump, multi-pump parallel or one-for-one backup scenarios of secondary water supply in a cell; when adapting to multi-pump parallel or one-for-one backup scenarios, the AI edge master control unit preferentially takes the current main operating pump as the energy-saving optimization object, and if the system switches to a backup pump or the number of operating pumps changes, the system automatically reenters the preheating state and the baseline establishment state, reestablishes the baseline power and the baseline frequency, and avoids control misjudgment caused by following the old baseline.

Images