Water affair comprehensive evaluation method, system, equipment and medium
By constructing a water quality assessment model and an asset management system, and combining real-time data comparison, the problem of low efficiency in internal asset management of water utilities has been solved, and efficient equipment maintenance and reduced operating costs have been achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- QINGDAO WATER GRP ENVIRONMENTAL ENERGY CO LTD
- Filing Date
- 2025-12-26
- Publication Date
- 2026-04-21
AI Technical Summary
Existing water utilities lack a system to integrate various production factors, resulting in inefficient internal asset management and difficulty in increasing production capacity with limited resources.
By constructing a water quality evaluation model and combining it with an asset management system to obtain real-time data from water treatment equipment, comparing it with ideal samples, identifying problems and providing solutions, establishing equipment files and operating curves, and achieving efficient maintenance and management of the equipment.
It improved the operating efficiency of water treatment equipment, reduced operating costs, reduced reliance on personnel experience, and achieved rapid improvement in water quality and efficient equipment maintenance.
Abstract
Description
Technical Field
[0001] This invention relates to the field of water affairs, and more particularly to evaluation methods, systems, equipment and media for water affairs production and operation. Background Technology
[0002] It is well known that human society cannot function without water. Daily life and production rely on water, making water management an indispensable component of urbanization and large-scale settlements. Modern water management has established effective water treatment solutions for the timely treatment of wastewater generated in towns and villages. However, with the expansion of human activities and the increasing sophistication and complexity of society, wastewater treatment has become increasingly demanding, with a sharp increase in treatment volume and immense pressure. Existing solutions fall into two categories: expanding water management capacity and integrating existing capacity. However, given the growing scarcity of urban land, effectively integrating the existing capacity within water management units is an urgent and pressing issue that needs to be addressed.
[0003] In the process of integrating and coordinating internal mechanisms to improve productivity, "hardware" such as production equipment is important, but "software" for operating production equipment is equally important. Currently, most water utilities in China have some internal asset management systems, but there is no system that truly integrates all production factors. To obtain a water utilities management system at the lowest cost, it is necessary to improve the existing system. Summary of the Invention
[0004] To address the aforementioned issues, a comprehensive water resources evaluation method is provided, and the technical solutions offered are as follows:
[0005] Based on the assets within the water utility unit, assess the operational status of the equipment involved in water treatment within those assets.
[0006] Based on the existing assets and equipment, a water quality evaluation model is constructed. The water quality evaluation model includes water quality parameter data when the water treatment equipment is in an ideal sample. The ideal sample is the paper performance of the water treatment equipment when it is in an ideal state.
[0007] Water quality parameters are classified according to their priority, into multiple priority categories, including priority targets, secondary targets, and auxiliary targets.
[0008] Water quality parameter targets are customized for water treatment equipment, and different water treatment equipment has different priority data;
[0009] Establish situational awareness and acquire and collect priority data for each water treatment device;
[0010] The obtained data is classified and organized, and the status of water treatment equipment in each target is determined based on the organized data. The data is then transmitted and stored in the data center.
[0011] After the categorized data is input into the evaluation model, the data is compared with the ideal sample to obtain the state results of each classification target. If the state results are not ideal, a solution is provided.
[0012] An ideal production sample should include at least equipment data and water quality data, among which;
[0013] Equipment data comes from the asset management system and includes at least equipment lifespan and maintenance records. Water quality data includes at least water production data.
[0014] Based on the above technical solutions, product files for specific brands and models are established, and data on any problems affecting operation, such as equipment malfunctions, are uploaded to the database, with solutions provided for each problem.
[0015] The data concerning the operational issues should include at least the cause of the abnormal asset status and the basis for confirming the problem, and the data should include images and videos.
[0016] Based on the above technical solutions, the water quality evaluation model also includes data on water quality parameters when the water treatment equipment is in a warning sample. The warning sample refers to a warning state in which the water treatment equipment is in a state of low water treatment capacity and has to be repaired or cleaned.
[0017] The system captures operational status data from water treatment equipment, generates operational curves, and initiates maintenance and cleaning work in advance before the curves approach warning levels.
[0018] Based on the above technical solutions, the equipment maintenance record includes a problem index, fault identification, maintenance plan, parts procurement, and maintenance interval.
[0019] Based on the above technical solutions, the equipment lifespan includes equipment purchase records and equipment installation records.
[0020] Based on the above technical solutions, the water quality data also includes the turbidity of the produced water and the average daily water production.
[0021] Based on the above technical solutions, priority targets should have at least fixed parameters and active parameters. The fixed parameters should include at least the membrane area of the MBR membrane tank and the membrane tank design membrane ratio coefficient.
[0022] Active parameters include at least membrane pressure difference and membrane specific flux.
[0023] Based on the above technical solutions, the equipment data also includes power consumption data.
[0024] The water resources comprehensive evaluation system based on the above evaluation method provides the following technical solutions, including:
[0025] The asset management unit will take inventory of the water utilities' assets, mark water treatment equipment related to water treatment, assess the importance of each piece of equipment, and establish a database for each piece of equipment.
[0026] The model unit, based on the paper performance parameters of the water treatment equipment marked by the asset management unit, obtains an ideal sample based on the water quality evaluation model;
[0027] The target classification unit, based on the asset status of the asset management unit, learns the level and function of the targets to be evaluated, classifies the targets, builds the target framework, and constructs a hierarchical system;
[0028] The situational awareness unit is used to passively acquire and actively collect data on the water treatment equipment of various targets;
[0029] The data storage unit classifies and organizes the obtained data, determines the status of water treatment equipment in each target based on the organized data, obtains real-time samples of the water treatment equipment, and stores them.
[0030] The evaluation and analysis unit inputs the classified and organized real-time sample data into the evaluation model and compares the data with the ideal sample to obtain the status results of each classification target and the corresponding response plan.
[0031] An ideal production sample should include at least equipment data and water quality data, among which;
[0032] Equipment data comes from the asset management system and includes at least equipment lifespan and maintenance records. Water quality data includes at least water production data.
[0033] An electronic device, characterized in that it includes a memory and a processor, the memory being used to store a computer program, and the processor running the computer program to cause the electronic device to perform the water resources comprehensive evaluation method according to claim 1.
[0034] A computer-readable storage medium is characterized in that it stores a computer program, which, when executed by a processor, implements the comprehensive water resources evaluation method as described in claim 1.
[0035] Beneficial effects: Based on the existing asset management system, this invention integrates water treatment equipment that directly or indirectly participates in water treatment within the assets. By combining the actively acquired operating parameters of the aforementioned water treatment equipment as dynamic samples and comparing them with samples under ideal conditions, it can more quickly identify problems and provide solutions. This forms a set of performance evaluation methods. By evaluating the performance of water treatment equipment, water quality can be improved, the daily operating burden of water plants can be reduced, operating costs can be lowered, and reliance on personnel can be eliminated. Detailed Implementation
[0036] In some embodiments, an evaluation method centered on performance assessment is provided. Unlike other water evaluation methods, this embodiment is based on the characteristics of the water sector. Benefiting from the fact that water is a public utility, water units pay special attention to the assets under their jurisdiction. Most units have built asset management systems. Based on their respective asset management systems, a large amount of data has been generated on assets, especially assets that are directly or indirectly related to water treatment, such as water pumps, dewatering machines, blowers, membrane modules in MBR membrane tanks, or sludge scrapers in secondary sedimentation tanks.
[0037] A typical asset management system contains both fixed and dynamic data. Fixed data includes product procurement information, brand, type, performance parameters, and installation time. Dynamic data displays the actual condition of the assets and typically includes records of maintenance and upkeep, providing insight into the asset's status. This embodiment can install sensors and other devices on the water treatment equipment to acquire real-time data. The system can then be expanded using the asset management system as a template to organize and display this real-time data. Alternatively, data from the asset management system can be directly retrieved to create a separate water quality management system.
[0038] Regardless of the method used, the following specific steps are required: Utilize the asset management system to inventory the assets of the water utilities, and separately label and list equipment directly or indirectly involved in water treatment; perform simple analysis of the fixed data in the asset management system to obtain the fixed data for a specific piece of equipment. Taking the membranes of an MBR membrane tank as an example, imported brands often use products from Singapore's Minolta, Japan's Toray, or Mitsubishi, which have longer lifespans and more stable performance. Domestic brands often use products from Peril and Membranetech, which offer greater price advantages and better local service. Simultaneously, it is necessary to obtain data directly related to the performance of new products, such as membrane flux, membrane pressure differential, and permeate volume, to establish an ideal production sample as part of the water quality evaluation model.
[0039] When acquiring data from the asset management system, experience allows for direct deduction of any missing data. The acquired and missing data categories are then summarized and categorized, and classified into priority, secondary, and auxiliary target data based on their priority. For example, the average daily flow rate of pump #001 in biological reactor #1 is a priority target, while its power consumption is a secondary target. Similarly, the membrane flux, membrane pressure difference, and permeate output of an MBR membrane are priority targets, while the number of maintenance visits and reasons for maintenance are secondary targets, and the production life and expected lifespan are auxiliary targets.
[0040] After defining and prioritizing water quality parameters, actions are taken to supplement data missing from the asset management system. Necessary measures, such as the coordinated use of sensors and the Internet of Things (IoT), are deployed on water treatment equipment and surrounding pipelines to obtain data not found in the asset management system. Data obtained through situational awareness can be uploaded from each water plant to a unified database, or it can be directly retrieved by the central water group and transmitted to the database via the network. All data belonging to the same device or facility are linked to that device. It is worth noting that the "same device" mentioned in this application refers to a specific device within a specific water tank, such as the MBR membrane in corridor number 3 of the MBR tank in biological tank #2. MBR membranes within the corridor are not further subdivided; only the corridor itself is counted, as different brands of membranes are not installed in the same corridor, and the membranes in the same corridor have essentially the same lifespan, making further differentiation unnecessary.
[0041] The data stored in the database is input into the water quality assessment model and compared with the ideal sample. When the input data fails to meet the ideal sample, the difference between the two is further analyzed to see if it is within a reasonable range. If it is unreasonable, it indicates that the input data is abnormal. By tracing back the production equipment that generated the data, the location of the equipment is precisely determined, and the inspection personnel are notified to go to the location of the equipment for final verification. If the problem is confirmed after verification, repair and maintenance are carried out immediately.
[0042] To improve equipment maintenance capabilities, asset records should be established, specifying the brand and model of each piece of equipment. These records should document all data related to the equipment from purchase to the present, not just malfunctions or other issues affecting normal operation. Issues affecting normal operation refer to problems such as degraded water quality and equipment shutdowns—common issues in the water industry that can be exhaustively identified. Data on these issues should include at least the cause of the abnormal asset condition and the basis for problem confirmation. This data should include photographic and video documentation. Data collected during operations should be uploaded to a database. When a problem recurs, the cause and solution can be quickly determined based on the problem type and the accompanying video and photographic evidence. This reduces reliance on employee experience, increases standardization, and helps new employees quickly get up to speed.
[0043] This embodiment presents a comprehensive evaluation method for water treatment efficiency, equipment efficiency, and management efficiency. Based on an asset management system, it provides detailed data on water treatment equipment, including equipment lifespan. The equipment lifespan data can be further supplemented with equipment purchase and installation records. Purchase records identify the equipment supplier, allowing for quick contact in case of complex issues. Installation records provide the equipment's usage time, enabling the calculation of its expected lifespan. In addition to creating maintenance work orders, equipment maintenance records must also record a problem index, detailing the cause of the problem and the process of troubleshooting. This significantly reduces personnel training burden and facilitates rapid worker proficiency. Furthermore, maintenance plans, spare parts procurement information, and maintenance intervals are not included in traditional work orders. Recording spare parts procurement information allows for advance procurement of parts based on maintenance intervals, ensuring parts are available before workers are available, thus facilitating rapid response.
[0044] In other embodiments, in addition to setting ideal samples, warning samples can also be set where the water quality is in a state of alert. According to daily production operations, the quality of the produced water from common water treatment equipment deteriorates significantly after a period of use. At this point, the measured water quality no longer meets requirements, necessitating replacement, repair, or cleaning. However, the problem is that if only the produced water quality is tested, it may not be possible to determine which stage of the water treatment process is problematic, making it difficult to quickly locate the water treatment equipment requiring intervention. This embodiment focuses on collecting priority target parameters of the water treatment equipment. By collecting information from the water treatment equipment itself, combined with the detection of the effluent water quality, the problem can be directly located, enabling rapid response and rapid processing.
[0045] To visually demonstrate the status of the water treatment equipment, data on its operational status is collected and organized to form an operational curve. Theoretically, this curve fluctuates between the ideal production sample line and the warning sample line, but overall shows a downward trend. After cleaning and maintenance, the equipment quickly recovers to its original state, appearing on the curve close to the ideal production sample line, and may even briefly exceed it, before gradually declining back to near the warning sample line.
[0046] Of course, proactive cleaning and maintenance can be carried out before the sample reaches the warning level. This is predictable and in line with objective laws, and it is not necessary to wait until the sample reaches the warning level before taking action. This allows all water treatment equipment in the plant to be adjusted to the appropriate status before the peak water treatment season of the year to cope with the peak, while cleaning or maintenance can be carried out during the off-season. This is an effect that can only be achieved by relying on an asset management system.
[0047] In other embodiments, an electronic device is provided, including a memory and a processor, the memory storing a computer program and the processor running the computer program to cause the electronic device to perform the water resources comprehensive evaluation method according to claim 1.
[0048] In other embodiments, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the comprehensive water resources evaluation method as described in claim 1.
Claims
1. A comprehensive water resources evaluation method, characterized in that, Including: Based on the assets within the water utility unit, assess the operational status of the equipment involved in water treatment within those assets. Based on the existing assets and equipment, a water quality evaluation model is constructed. The water quality evaluation model includes water quality parameter data when the water treatment equipment is in an ideal sample. The ideal sample is the paper performance of the water treatment equipment when it is in an ideal state. Water quality parameters are classified according to their priority, into multiple priority categories, including priority targets, secondary targets, and auxiliary targets. Water quality parameter targets are customized for water treatment equipment, and different water treatment equipment has different priority data; Establish situational awareness and acquire and collect priority data for each water treatment device; The obtained data is classified and organized, and the status of water treatment equipment in each target is determined based on the organized data. The data is then transmitted and stored in the data center. After the categorized data is input into the evaluation model, the data is compared with the ideal sample to obtain the state results of each classification target. If the state results are not ideal, a solution is provided. An ideal production sample should include at least equipment data and water quality data, among which; Equipment data comes from the asset management system and includes at least equipment lifespan and maintenance records. Water quality data includes at least water production data.
2. The comprehensive water resources evaluation method as described in claim 1, characterized in that, Establish product files for each brand and model, upload data on any equipment malfunctions or other issues affecting operation to the database, and provide solutions for each problem; The data concerning the operational issues should include at least the cause of the abnormal asset status and the basis for confirming the problem, and the data should include images and videos.
3. The comprehensive water resources evaluation method as described in claim 1, characterized in that, The water quality assessment model also includes data on water quality parameters when the water treatment equipment is in a warning sample state, which refers to a state in which the water treatment equipment is in a low water treatment capacity state and has to be repaired or cleaned. The system captures operational status data from water treatment equipment, generates operational curves, and initiates maintenance and cleaning work in advance before the curves approach warning levels.
4. The comprehensive water resources evaluation method as described in claim 1, characterized in that, Equipment maintenance records include a problem index, fault identification, maintenance plan, parts procurement, and maintenance interval.
5. The comprehensive water resources evaluation method as described in claim 1 or 4, characterized in that, Equipment lifespan includes equipment purchase records and equipment installation records.
6. The water quality data as described in claim 1 or 4 further includes the turbidity of the produced water and the average daily water production.
7. The comprehensive water resources evaluation method as described in claim 1 or 4, characterized in that, Priority targets must have at least fixed parameters and active parameters. Fixed parameters must include at least the membrane area of the MBR membrane tank and the membrane tank design membrane ratio coefficient. Active parameters include at least membrane pressure difference and membrane specific flux.
8. The comprehensive water resources evaluation method as described in claim 1, characterized in that, The equipment data also includes power consumption data.
9. A comprehensive water resources evaluation system based on the above evaluation method, characterized in that, Including: The asset management unit will take inventory of the water utilities' assets, mark water treatment equipment related to water treatment, assess the importance of each piece of equipment, and establish a database for each piece of equipment. The model unit, based on the paper performance parameters of the water treatment equipment marked by the asset management unit, obtains an ideal sample based on the water quality evaluation model; The target classification unit, based on the asset status of the asset management unit, learns the level and function of the targets to be evaluated, classifies the targets, builds the target framework, and constructs a hierarchical system; The situational awareness unit is used to passively acquire and actively collect data on the water treatment equipment of various targets; The data storage unit classifies and organizes the obtained data, determines the status of water treatment equipment in each target based on the organized data, obtains real-time samples of the water treatment equipment, and stores them. The evaluation and analysis unit inputs the classified and organized real-time sample data into the evaluation model and compares the data with the ideal sample to obtain the status results of each classification target and the corresponding response plan. An ideal production sample should include at least equipment data and water quality data, among which; Equipment data comes from the asset management system and includes at least equipment lifespan and maintenance records. Water quality data includes at least water production data.
10. An electronic device, characterized in that, The device includes a memory and a processor, the memory being used to store a computer program, and the processor running the computer program to cause the electronic device to perform the water resources comprehensive evaluation method according to any one of claims 1 to 4.
11. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the comprehensive water resources evaluation method as described in any one of claims 1 to 4.