A remote real-time water quality alarm system for water quality purification equipment

Abstract

The application discloses a kind of remote real-time water quality alarm systems for water purification equipment, belongs to the technical field of alarm notification, specifically includes: water quality acquisition judging module, for continuously monitoring whether water quality is abnormal, when water quality is abnormal, sends abnormal signal to central processing unit;Central processing unit, for receiving abnormal signal, determines abnormal device according to abnormal signal;Influence range evaluation module, for combining the position of abnormal device in water supply network and its position relationship with other abnormal devices, evaluate the influence range of abnormal device;Hierarchical alarm module, for generating the abnormal device alarm instruction of corresponding level according to the influence range of abnormal device;Emergency notification module, for generating abnormal device alarm notification measures according to the level of abnormal device alarm instruction, combining abnormal device position importance and influence range.

Description

Technical Field

[0001] This invention relates to the field of alarm notification technology, and more specifically to a remote real-time water quality alarm system for water purification equipment. Background Technology

[0002] With increasing demands for water resource security, water purification equipment has been widely applied in municipal water supply, industrial wastewater treatment, and other fields, and supporting monitoring and alarm technologies have also gradually developed. Early methods relied on manual sampling and analysis, resulting in poor timeliness. Later, online monitoring technology emerged, using electrochemical and optical sensors to collect parameters such as pH, COD, and turbidity in real time, and transmitting them to local monitoring centers via GPRS and Ethernet. In recent years, driven by the Internet of Things (IoT) and cloud computing technologies, remote monitoring systems have become mainstream, enabling the construction of multi-node monitoring systems covering the water supply network. For example, municipal water plants can deploy equipment at water intakes and the ends of the pipeline network to achieve centralized monitoring. However, existing technologies mostly focus on parameter acquisition and basic transmission, and alarm mechanisms remain at the threshold-triggered—simple notification level, failing to form a complete chain of collaborative capabilities.

[0003] However, existing technologies still have room for improvement in practical applications. Because water supply systems are networked, an anomaly in a single device can affect other areas through the network. Existing alarm systems are often limited to identifying the malfunctioning device itself, lacking a comprehensive assessment of the potential impact range. Furthermore, existing systems typically use fixed patterns when generating alarms, failing to fully consider the specific location and varying importance of equipment within the water supply network, resulting in a need to improve the alignment between emergency response measures and the actual risk level. Summary of the Invention

[0004] The purpose of this invention is to provide a remote real-time water quality alarm system for water purification equipment, thereby solving the problems in the background art:

[0005] A remote real-time water quality alarm system for water purification equipment includes:

[0006] The water quality acquisition and judgment module is used to continuously monitor whether the water quality is abnormal. When the water quality is abnormal, it sends an abnormal signal to the central processing unit.

[0007] The central processing unit is used to receive abnormal signals and determine the abnormal device based on the abnormal signals.

[0008] The impact range assessment module is used to assess the impact range of abnormal equipment by combining the location of the abnormal equipment in the water supply network and its positional relationship with other abnormal equipment.

[0009] The graded alarm module is used to generate alarm commands for abnormal devices of corresponding levels based on the scope of the impact of the abnormal devices.

[0010] The emergency notification module is used to generate alarm notification measures for abnormal equipment based on the alarm command level of the abnormal equipment, combined with the importance of the abnormal equipment's location and the scope of its impact.

[0011] As a further aspect of the present invention: in the impact range assessment module, the process of assessing the impact range of the abnormal device by combining its location in the water supply network and its positional relationship with other abnormal devices is as follows:

[0012] Construct a directed topology graph and node attribute set for the water supply network, locate abnormal devices based on abnormal signals, and map the abnormal devices to a unique network node;

[0013] Initiate bidirectional flow fingerprinting at abnormal device nodes, trace along the flow direction and counter-flow direction to the boundary valve and water source, extract arrival sequence and branch relationship, and form an influence candidate subgraph;

[0014] Based on water age stratification, water age equipotential circles are constructed on the candidate subgraph of influence, and nodes that are connected and have the same water age are defined as the propagation time sequence boundary;

[0015] Project the location relationships of abnormal equipment onto the candidate sub-map of influence, merge overlapping influence domains in the same direction of flow, and mark the confluence boundaries of the opposite direction of flow to obtain the influence range map;

[0016] Virtual isolation valve nodes are set in key pipe sections of the influence range map to simulate network connectivity changes in the closed state, and the influence range boundary is corrected based on the connectivity changes.

[0017] As a further aspect of the present invention: in the graded alarm module, the process of generating an alarm command for an abnormal device of a corresponding level based on the scope of the impact of the abnormal device is as follows:

[0018] Extract the boundary and skeleton of the impact range of the abnormal equipment as the center, and generate a ring template from near to far as a reference for the classification of the impact range of the abnormal equipment.

[0019] Determine the status of the affected area of ​​the abnormal equipment on the ring-shaped template; map the alarm level based on the status of the affected area of ​​the abnormal equipment.

[0020] As a further aspect of the present invention: the specific content of extracting the boundary and skeleton of the influence range of the abnormal device as the center, and generating a ring-shaped template from near to far, is as follows:

[0021] An influence intensity field is constructed with the abnormal equipment as the center. It propagates along the pipe section and converges at the nodes to form a continuous influence intensity distribution, which serves as the measurement benchmark for extracting the influence skeleton line and influence boundary line of the abnormal equipment.

[0022] The main ridge line of intensity is extracted from the intensity distribution as the skeleton line of the abnormal equipment influence, and the inflection point where the intensity changes from increasing to decreasing is connected to form a closed boundary line to generate the boundary line of the abnormal equipment influence.

[0023] Using the skeleton line affected by abnormal equipment as the central axis, layer the adjacent equal strength lines from the inside out according to the topological distance to generate ring templates from near to far, and record the correspondence between the ring number and the affected skeleton line.

[0024] As a further aspect of the present invention, the specific content of determining the influence range of abnormal equipment on the ring template includes: not touching the boundary is the isolated state, touching the boundary but not connecting the upstream and downstream is the boundary state, and connecting the upstream and downstream is the connected state.

[0025] As a further aspect of the present invention, the specific content of the alarm level mapping based on the state of the abnormal device's influence range includes: triggering a primary abnormal device alarm command in an isolated state, triggering a secondary abnormal device alarm command in a boundary state, and triggering a primary abnormal device alarm command in a through state.

[0026] As a further aspect of the present invention: in the emergency notification module, the process of generating abnormal equipment alarm notification measures based on the abnormal equipment alarm command level, combined with the importance and impact range of the abnormal equipment location, is as follows:

[0027] The impact range of abnormal equipment is superimposed with the importance of the abnormal equipment's location to divide it into core ring zone, boundary ring zone, and outer ring zone, forming a priority sequence of zone locations, which serves as the basis for ranking abnormal equipment alarm notification measures;

[0028] Establish the ring start order based on the alarm command level of abnormal equipment, with higher alarm command level boundary priority and lower alarm command level core priority, and generate a level order table accordingly;

[0029] Using the partition location priority sequence and level order table as input, generate abnormal equipment alarm notification measures, determine the notification targets, notification order and notification rounds, and maintain consistency in the description of abnormal equipment alarm notification measures;

[0030] Echo verification requirements are set at the boundary of the affected area, and the echo confirmation is completed by the boundary ring object; supplementary notifications are triggered in the non-echo area, and the alarm notification measures for abnormal equipment are adjusted according to the echo results.

[0031] As a further aspect of the present invention: the specific process of generating abnormal equipment alarm notification measures, determining the notification targets, notification order, and notification rounds, and maintaining consistency in the expression of abnormal equipment alarm notification measures, using the partition location priority sequence and level order table as input, is as follows:

[0032] Map the partition location priority sequence to the level order table to generate a notification mapping table, and mark the notification objects and their respective rings;

[0033] Based on the notification mapping table, the order of ring zone entry is determined according to the level order table, and then sorted within each ring zone according to the priority sequence of partition position to form the notification order;

[0034] The system adopts a segmented round-robin method, with the first notification ring covering the first notification target, the second notification ring covering the remaining notification targets, and the final notification ring covering all notification targets across different rings. A unified sentence structure is used to form the abnormal equipment alarm notification measures.

[0035] The beneficial effects of this invention are:

[0036] This invention continuously collects multi-indicator data through a water quality parameter acquisition and judgment module. The central processing unit uniquely maps abnormal equipment to a water supply network node and performs connectivity verification by combining real-time flow direction and valve position status, avoiding ambiguity and misjudgment. The impact range assessment unit extracts skeleton lines and boundary lines based on directed topology and water age stratification, generating a ring template from near to far. When multiple anomalies exist, it can automatically identify merging relationships in the same direction and reversing merging relationships, and set virtual isolation valves in key pipe sections to simulate the shutdown effect, providing a boundary comparison between unisolated and isolated sections, accurately converging the treatment range, reducing unnecessary water outages and sampling inspections, and achieving interpretable and reproducible impact assessment results, significantly reducing the costs and risks caused by false alarms, missed alarms, and blind treatment.

[0037] The tiered alarm module maps impact states to alarm levels one-to-one, using indicators such as coverage ratio, intensity factor, expansion speed, sensitive point exposure, and controllability to form a unified, objective, and anti-vibration tiered standard, avoiding inconsistent judgments and over / under-response in similar cases. The emergency notification module overlays location importance with impact range, dividing the system into core, boundary, and outer ring zones, establishing a location priority sequence + level order table. It employs a segmented round-robin method and standardized wording to clearly define the notification recipients, order, and time limits, introducing echo confirmation and supplementary notification mechanisms for unanswered inquiries to ensure a closed loop of information delivery, understanding, and execution. As a result, key control points and key users are prioritized for notification and action, with consistent notification standards and traceable responsibility. This significantly improves coordination efficiency and response accuracy, enhancing the timeliness, accuracy, and effectiveness of water quality safety assurance, and meeting the refined risk control needs in complex scenarios. Attached Figure Description

[0038] The invention will now be further described with reference to the accompanying drawings.

[0039] Figure 1 This is a schematic diagram of a remote real-time water quality alarm system for water purification equipment according to the present invention. Detailed Implementation

[0040] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0041] Please see Figure 1 As shown, the present invention is a remote real-time water quality alarm system for water purification equipment, comprising:

[0042] The water quality acquisition and judgment module is used to continuously monitor whether the water quality is abnormal. When the water quality is abnormal, it sends an abnormal signal to the central processing unit.

[0043] The central processing unit is used to receive abnormal signals and determine the abnormal device based on the abnormal signals.

[0044] The impact range assessment module is used to assess the impact range of abnormal equipment by combining the location of the abnormal equipment in the water supply network and its positional relationship with other abnormal equipment.

[0045] The graded alarm module is used to generate alarm commands for abnormal devices of corresponding levels based on the scope of the impact of the abnormal devices.

[0046] The emergency notification module is used to generate alarm notification measures for abnormal equipment based on the alarm command level of the abnormal equipment, combined with the importance of the abnormal equipment's location and the scope of its impact.

[0047] In the water quality acquisition and judgment module, the process of continuously monitoring whether the water quality is abnormal and sending an abnormal signal to the central processing unit when the water quality is abnormal is as follows:

[0048] Specifically, the system acquires various water quality parameters, sets urgency weighting coefficients for various water quality anomaly parameters, calculates the comprehensive water quality anomaly value based on the parameter values ​​and corresponding weighting coefficients, determines whether the comprehensive water quality anomaly value exceeds the set range, and immediately sends an anomaly signal and various water quality parameters to the central processing unit when the value exceeds the set range.

[0049] In the impact range assessment module, the process of assessing the impact range of the abnormal device, combining its location in the water supply network and its positional relationship with other abnormal devices, is as follows:

[0050] First, a directed topology graph and node attribute set of the water supply network are constructed, and abnormal equipment is uniquely mapped to a network node. Specifically, hydraulic connection points in the pipeline network (e.g., pipe junctions, valve locations, pump station inlets / outlets, user boundary points) are abstracted as nodes, and physical pipe segments are abstracted as directed edges, with the direction based on the current hydraulic flow. If a segment has possible bidirectional flow, the dominant flow direction is used as the edge direction, and the reverse possibility is retained in the attributes. The node attribute set includes at least node elevation, pressure zone, affiliation with valves or pumps, real-time water age, historical water age statistics, and the number of connected users. The edge attribute set includes pipe diameter, pipe length, friction parameters, valve opening, and whether it is a boundary valve. Upon receiving an abnormal signal, based on the equipment's geographical coordinates, installation records, and pipeline linear references, a dual strategy of spatial location matching and hydraulic connectivity verification is used to locate the equipment and uniquely map it to a node in the topology graph. For example, if the residual chlorine sensor in the secondary booster pump station of a residential area malfunctions, it is first matched with candidate nodes near the pump station's outlet. Then, its connectivity to the main pipeline is verified through nearly an hour of flow direction records, ultimately identifying node A as the malfunctioning node. This approach avoids fuzzy mapping of multiple nodes caused by geographical location deviations or drawing errors.

[0051] Secondly, a bidirectional flow fingerprint is initiated at the anomalous equipment node, simultaneously tracing the flow in both the forward and reverse directions to the boundary valves and water source. The arrival sequence and branching relationships are extracted to form a candidate subgraph of influence. The bidirectional flow fingerprint refers to assigning a unique time-series identifier to each possible path spreading downstream and upstream from node A, starting from the moment the anomaly occurs, and recording the arrival order of nodes along the way and the branching tree structure. Tracing downstream continues until a boundary valve, pressure zone boundary, or node where hydraulic propagation cannot continue is encountered; tracing upstream continues until the water source is reached or it intersects with other upstream anomalous domains. For example, starting from node A, downstream it may enter the loop pipe via A→B→C, then branch into two branches: C→D→E and C→F→G; ​​upstream it may go via A→upstream branch pipe→main trunk line 1→water source. These reachable nodes and edges, along with their temporal sequence and branching relationships, are summarized into a structured candidate subgraph, and the current valve opening / closing, pump operation, and zone connectivity status are recorded simultaneously to ensure the accuracy of subsequent analysis.

[0052] Secondly, based on water age stratification, water age equipotential circles are constructed on the candidate subgraphs, and these are used to delineate the propagation timeline boundaries. Water age can be understood as the time it takes for water to travel from its source to a certain node. In this embodiment, water age is divided into several time periods based on actual operation and maintenance experience, such as 0 to 1 hour, 1 to 3 hours, 3 to 6 hours, and more than 6 hours. Water age is calculated and stratified for each node on the candidate subgraph, and nodes that are connected and have the same water age stratum are automatically aggregated into an equipotential circle, with its outer edge marked as the propagation timeline boundary. This visually represents the spatial range of the same arrival time level. For example, if nodes B, C, and D are within the 1 to 3 hour level and are connected to each other, they are delineated into the same equipotential circle, and their outer edge represents the boundary that the anomaly may affect along the dominant flow direction within 3 hours. For dead ends or low-velocity branches, due to their larger water age, they may fall into the stratum of more than 6 hours, thus being located at the outermost boundary in terms of time. Through this stratification, operators can understand that users within the same circle will be affected at roughly the same time, while there is a clear time gradient between circles.

[0053] Subsequently, the positional relationships between the abnormal devices are projected onto the candidate sub-graph of influence. Overlapping influence domains in the same-flow direction are merged, and confluence boundaries are marked in the opposite-flow direction to obtain the influence range map. When there is only one abnormality at node A, the influence range map is the result of its candidate sub-graph constrained by the water age equipotential circle. When another abnormality exists at the same time (such as abnormal turbidity at node C), the candidate sub-graphs of the two abnormalities are superimposed in the same topological space: if the two overlap in the same-flow direction, they are automatically merged to avoid double counting of user numbers and pipe lengths; if they converge at a node in the opposite-flow direction (for example, two streams of water converge at node D and then flow downstream), that node is marked as the confluence boundary, indicating that the water quality changes here may have complex effects of superposition or mutual dilution.

[0054] Finally, virtual isolation valve nodes are set in the critical pipe sections of the influence range map to simulate network connectivity changes under closed conditions, and the influence range boundary is corrected accordingly. In this embodiment, critical pipe sections are defined as those that, once closed, can significantly change the connectivity structure of the candidate subgraph, such as the closed section of a ring trunk, a short connecting pipe connecting two pressure zones, or the root of a branch pipe leading to a large user group. Virtual isolation valve nodes are inserted at these locations to simulate typical operating conditions such as "stay open," "immediately close," and "delayed close," and graph connectivity analysis is used to calculate the changes in the set of nodes reachable from the anomaly source node under different operating conditions. If a critical pipe section, after being closed, cuts off the propagation channel of the anomaly to a certain area, the corresponding outer equipotential circle needs to be contracted inward; if the closure causes water flow to be diverted through a bypass pipe into another branch, the equipotential circle of that branch needs to be expanded outward to reflect the potential impact. For example, after closing a critical section of the main ring pipe, the original path A→C→F→G is cut off, and the branches containing F and G are removed from the reachable set, thus shrinking the impact boundary. However, if a normally open bypass exists simultaneously, and the water flow changes to C→D→bypass→X, then X and its downstream need to be included in the new equipotential circle. Through comparison of multiple schemes, this embodiment takes the result of the valve control strategy that is most likely to be executed in terms of time and is accessible for operation and maintenance as the corrected impact range, and clearly states the difference in the output: "If isolation is not implemented, the boundary is ××; after implementation, the boundary is ××". This facilitates both emergency command and dynamic adjustment of alarm classification and notification strategies.

[0055] In the hierarchical alarm module, the process of generating an alarm command of the corresponding level based on the scope of the impact of the abnormal device is as follows:

[0056] Extract the boundary and skeleton of the impact range of the abnormal equipment as the center, and generate a ring template from near to far as a reference for the classification of the impact range of the abnormal equipment.

[0057] In this embodiment, firstly, taking the node where the abnormal device is located as the center, and based on the influence range map generated in the previous step, the outer boundary of the influence range and the pipeline skeleton are extracted. The skeleton refers to the central axis line extracted along the dominant flow direction and effective connecting paths within the influence range, which can be approximated by a shortest arrival time tree, conforming to the hydraulic propagation direction and covering the main branches. Subsequently, multi-layered ring templates are generated around this skeleton according to the isochronous arrival principle from near to far.

[0058] Specifically, the process of extracting the boundary and framework of the influence range of the abnormal device centered on the abnormal device, and generating a ring-shaped template from near to far, includes the following:

[0059] This embodiment takes a mixed urban trunk-branch water supply network as an example to illustrate the specific method of constructing an influence intensity field centered on abnormal equipment, propagating along the pipe segment direction, and converging the intensity at nodes to form a continuous influence intensity distribution. This serves as the measurement benchmark for extracting the influence skeleton line and influence boundary line of abnormal equipment. First, the location of the abnormal equipment is taken as the source point of the intensity field in the network topology. The influence intensity is defined as a comprehensive index, including the exceedance range (such as the number of times the residual chlorine is lower than the limit), the arrival probability (estimated by real-time flow direction and valve opening), the water age decay coefficient (the longer the residence time, the greater the decay), and the flow rate weight (the greater the flow rate, the stronger the transmission capacity). The source point intensity is set to 1 in a unitary manner and decreases along the pipe segment according to length, water age, and local resistance. If there are bypasses or branches in the pipe segment, the intensity is split according to the distribution coefficient. At each node, the intensities from different upstream pipe segments are combined and added to obtain the node intensity. Then, linear interpolation and smoothing (e.g., using a Gaussian kernel smoothing scheme) along the pipe segment are used to fill in the values ​​between the edge and the point, so that the field distribution is continuous and without obvious breaks. To facilitate understanding, consider this example: An anomaly in residual chlorine at the outlet of a community booster pump station is source point A. A transmits an intensity of 0.8 downstream to the main trunk and 0.2 downstream to a branch line. At the downstream confluence node B, it simultaneously receives 0.8 from A→the main trunk and 0.1 from another branch line C, resulting in a node intensity of 0.9 at B. As distance increases and factors such as partially open valves contribute, the intensity gradually decreases and converges multiple times within the ring-shaped main trunk, ultimately forming a continuous influence intensity map covering the "edge-point-area." This intensity map reflects not only where the anomaly might reach but also the differences in its intensity, providing a unified measurement benchmark for subsequent framework and boundary extraction.

[0060] After obtaining the continuous intensity distribution of the impact, the main intensity ridge is extracted from the intensity distribution as the skeleton line of the abnormal equipment impact. A closed boundary line is then formed by connecting the inflection points where the intensity changes from increasing to decreasing, generating the abnormal equipment impact boundary line. The so-called main intensity ridge is the central axis that runs continuously along the network topology, following the direction of the maximum intensity field; it can be understood as the "most likely and strongest propagation backbone of the abnormal impact." The specific steps are as follows: starting from the source point, proceed in the direction of the fastest increase in intensity gradient among its directly adjacent reachable pipe segments; when encountering a bifurcation, extend and retain the first two branches with higher intensity as main ridge branches, and the rest as secondary ridges; when the intensity no longer increases but begins to decrease (gradient changes from positive to negative), mark this position as a local peak. Subsequently, on both sides of the main ridge, in a direction approximately perpendicular to it, search for inflection points where the intensity changes from increasing to decreasing, and connect these inflection points to form a closed curve, which is the impact boundary line. The boundary line obtained in this way is equivalent to separating the region with strong inner and weak outer areas in the intensity field, which conforms to the laws of hydraulic propagation and avoids mistakenly including low-impact areas. By using this main ridge line-inflection point closure method, the skeleton line clarifies the main propagation path, and the boundary line clarifies the outer edge of the high-influence domain. Together, they form a spatial anatomy map from strong to weak.

[0061] After completing the skeleton and boundaries, the next step involves using the skeleton line affected by abnormal equipment as the central axis, and layering adjacent isointense lines according to topological distance from the inside out to generate ring templates from near to far, recording the correspondence between ring numbers and the affected skeleton lines. An isointense line refers to a connected curve with the same intensity value in a continuous intensity field. Since the water supply network is a discrete topology composed of pipe segments and nodes, isointense lines are generated using edge interpolation and cross-node splicing. Using the skeleton line as the central axis, several intensity thresholds are selected, and the areas between adjacent isointense lines are defined as ring 1, ring 2, ring 3, etc. The thickness of each ring is not measured by planar straight-line distance, but by topological distance, i.e., the weighted length or time of the reachable path along the pipeline network (which can be measured using "pipe length × water age factor"). In this way, even geographically close areas that are separated by valves or can only be connected by a long detour will not be incorrectly assigned to the same near-layer ring.

[0062] Next, determine the status of the affected area of ​​the abnormal device on the ring-shaped template; map the alarm level based on the status of the affected area of ​​the abnormal device.

[0063] The specific content of determining the influence range status of abnormal equipment on the ring template includes: isolated state (not touching the boundary), boundary state (touching the boundary but not connecting upstream and downstream), and connected state (connecting upstream and downstream). On the given ring template, with the node where the abnormal equipment is located as the center, the coverage of its influence range within each ring is calculated. When the influence area does not touch the boundary line of any ring and does not intersect with key boundaries such as zone boundary valves, connecting pipes, or upstream water intakes, it is determined to be in an isolated state. Intuitively, this means the abnormality is still confined within the inner ring and has not yet generated a chain reaction on a larger area of ​​the main network. Next, the boundary state is explained. When the influence area has touched the boundary line of the outer ring or reached the zone boundary valve or pressure zone boundary point, but connectivity analysis reveals that the influence has not connected to the upstream water source side, nor has it crossed the boundary into a more distant downstream area, it is determined to be in a boundary state. This means the abnormality has reached the vicinity of a key control node and has the potential risk of outward expansion or backflow, but has not yet formed a channel connecting upstream and downstream. When the affected area forms a continuous channel from upstream to downstream on the ring-shaped template: one end traceable to the upstream water source or zone inlet, and the other end crossing the boundary into the more distant downstream main trunk or external connecting pipe, and the connectivity along the way is reachable, it is determined to be in a continuous state. This state indicates that the anomaly has both downstream diffusion and possible reverse transmission paths, posing a real threat to a wider range of users and critical facilities.

[0064] The specific content of the alarm level mapping based on the impact range of abnormal equipment includes: triggering a primary abnormal equipment alarm command in an isolated state, triggering a medium-level abnormal equipment alarm command in a boundary state, and triggering a high-level abnormal equipment alarm command in a through state. When the ring strip template is determined to be in an isolated state, the system immediately triggers a primary abnormal equipment alarm command. The command includes: increasing the frequency of repeated testing within the ring strip 1 (e.g., every 15–30 minutes), slightly optimizing the valve positions at the root of the branch, notifying the maintenance team to conduct on-site verification, and requiring data to be returned within a specified time. When it is determined to be in a boundary state (the boundary has been reached but the upstream and downstream are not connected), an intermediate abnormal equipment alarm command is triggered. Based on the primary measures, sampling is extended to the ring strip 2, temporary control is implemented on the adjacent boundary valves and connecting pipes (e.g., reducing the opening or preparing for isolation), and risk warnings are issued to the key users involved (e.g., hospitals, schools), and a zone switching plan is prepared. When it is determined to be in a connected state (a continuous upstream and downstream channel has been formed), an advanced abnormal equipment alarm command is triggered. The command requires immediate isolation of the key pipe section (closing the designated valve position), priority deployment of emergency sampling and water quality restoration measures according to the skeleton line, implementation of zone water supply switching if necessary, and initiation of wide-area notification and information reporting.

[0065] In the emergency notification module, the process of generating abnormal equipment alarm notification measures based on the abnormal equipment alarm command level, combined with the importance of the abnormal equipment's location and its impact range, is as follows:

[0066] In this embodiment, the impact range map of abnormal equipment and location importance are first overlaid to complete the spatial-importance stratification of the reporting objects. Location importance is derived from the comprehensive weight of equipment and nodes, including: water supply level (such as water plant inlets and outlets, main nodes, booster pump stations, and branch line ends), sensitive populations (hospitals, schools, and elderly care institutions), user scale (served population and number of key users), and criticality of conversion (boundary valves, connecting pipes, and zone entrances). Based on the ring template, the above weights of the nodes within each ring are summed and standardized to obtain hotspot strips with strong impact and high importance. Subsequently, based on the intensity × importance threshold, they are automatically divided into three categories: core ring – usually attached to the skeleton line, with both high importance and impact intensity (such as main pipeline sections and adjacent hospital branches); boundary ring – located near zone boundary valves, connecting pipes, or pressure zone boundaries, with changes most sensitive to upstream and downstream transmission; and outer ring – close to the outer edge of the impact, with weaker impact intensity but wide coverage. The three types of rings are sorted from high to low weight to generate a zone location priority sequence.

[0067] Regarding the establishment of the notification sequence, the starting order and advancement direction of the rings are set according to the alarm command level of abnormal equipment, forming a level sequence table. The rules are as follows: when it is a high-level command (corresponding to the through state), notification is initiated first from the boundary ring, and then expanded to the core ring and the outer ring; when it is a mid-level command (corresponding to the boundary state), the boundary ring is also given priority, but the scope of the core ring and the outer ring is more convergent; when it is a basic command (corresponding to the isolated state), a core priority strategy is adopted, and it is progressive from the inside to the outside. The system solidifies the above starting direction and advancement rhythm into a template. For example, the sequence table of high-level commands is "boundary → core → outer edge", and it is expanded from high to low according to the "partition position priority sequence" within each layer; the mid-level command is boundary → core (shrink) → outer edge (select); the basic command is "core → boundary (monitor) → outer edge (not for now)". For example, if this event is a medium-level instruction and the V1-L1 area of ​​the boundary ring has the highest weight, then the first objects in the sequence list are the relevant units in the V1-L1 area, followed by the non-sensitive branch roads in the core ring, and finally the community properties in the outer ring as needed.

[0068] Using the partition location priority sequence and level order table as input, generate abnormal equipment alarm notification measures, determine the notification targets, notification order and notification rounds, and maintain consistency in the description of abnormal equipment alarm notification measures;

[0069] The specific process of generating abnormal equipment alarm notification measures, determining the notification targets, notification order, and notification rounds, and maintaining consistency in the expression of abnormal equipment alarm notification measures, using the partition location priority sequence and level order table as input, is as follows:

[0070] In this embodiment, the scheduling platform first compares the partition location priority sequence with the level order table one by one, automatically generates a notification mapping table, and labels the ring zone and basic information of each notification object. The core fields of the notification mapping table include: object name, object type (internal operation and maintenance, key user, government and supervision, social collaboration), ring zone (core, boundary, outer edge and its number), location weight, level priority identifier, contact information and echo method. For example, in a certain event, the boundary ring zone (V1-L1 area) includes the adjacent partition scheduling center, district-level supervision duty, and liaison maintenance unit; the core ring zone includes booster pump room B, hospital A (including logistics department, cleaning and water supply room), and school S; the outer edge ring zone includes community property C and ordinary community D. When mapping, the system assigns the starting direction of the level order table (such as high-level instruction boundary priority, intermediate instruction boundary priority, primary instruction core priority) as the "level priority identifier" for each object; at the same time, it writes the weight value in the partition location priority sequence into the location weight. In this way, the notification mapping table uniformly displays who needs to be notified, in which ring, and what priority they have for this level, becoming the sole data source for subsequent sorting and order issuance, thus avoiding inconsistencies with manual reporting.

[0071] Based on the notification mapping table, the platform first determines the entry order of the rings according to the level order table, and then sorts them from high to low according to the priority sequence of the partition location within each ring, forming a deterministic notification order. Specifically, the platform first reads the alarm level. For example, if it is determined to be a "medium-level instruction" (boundary state), the entry order is "boundary ring → core ring → outer ring"; if it is a "high-level instruction" (through state), it also starts with the boundary ring, but expands the coverage; if it is a basic instruction (isolated state), the order is core ring → boundary ring (monitoring) → outer ring (optional). Within each ring already entered, they are then sorted according to their location weight. In cases where weights are equal, priority is given to critical facilities (hospitals, schools), then control points (valves, connecting pipes), and finally ordinary users.

[0072] In the order generation and transmission process, the platform adopts a segmented round-robin method, generating abnormal device alarm notification measures with a unified sentence format to ensure consistency in who sends the notification first, who sends it later, how many rounds are sent, and how it is worded. The first round only notifies the first notification target in each ring band, used to seize key control points and activate the echo link; the second round covers the remaining notification targets in the same ring band, improving information reach and execution loop; the final round is used for supplementary and extended targets across ring bands to consolidate collaborative handling. The standardized format is as follows: "[Alarm Level] Level ×; [Time of Occurrence] Year × Month × Day × Hour × Minute; [Location] ×× Water Supply Zone—×× Node; [Involved Rings] (Number—Geographical Description); [Handling Requirements] Please complete ×× (valve control / retest / water supply switch) within × minutes, and confirm within × minutes with 'Echo Password: ×××'; [Contact Person] ××, Telephone ××; [Non-Echo Handling] Automatic resending and escalation to higher-level objects will occur if the timeout period expires." The format, fields, and passwords used in each round are completely consistent, only the object name and ring number are changed. If an object in the first round does not respond within the time limit, cross-ring supplementary notification will be automatically activated according to the last round strategy, while retaining the original first-round object and adding its superior or parallel unit to ensure that no information is lost or left unattended.

[0073] To ensure that notifications are truly delivered, understood, and actionable, an echo verification requirement is set at the boundary of the impact area: the notification recipients within the boundary ring are responsible for echo confirmation and must record the echo time, the person echoing, key passwords, and execution progress. The platform simultaneously writes the echo path (e.g., SMS receipt + telephone password or online work order confirmation) into the notification form and sets two-level timeout thresholds: minor timeouts trigger automatic resending and voice reminders, while severe timeouts trigger supplementary notifications and alternative contact processes, and the area is marked as unresponsive. Unresponsive areas are highlighted with a prominent color on the situation map, and the system automatically adjusts notification measures accordingly: first, by adding superior or parallel units as fallback recipients; second, by prioritizing the area in the next round of notifications; and third, if necessary, by incorporating it into the "Boundary Key Tracking List" for pre-implementation in subsequent control and sampling plans. For example, if a school in the V1-L1 area fails to respond within 10 minutes, a follow-up notification is immediately sent to the school's superior authority and the street office, and the sampling arrangement for cleaning and water supply is verified by phone. If the notification is delayed again, the entire micro-area where the school is located is prioritized in the next round, and surrounding valves are also included in the priority verification list. As responses arrive, the system writes confirmation information back to the notification status board and appropriately narrows or expands the scope of subsequent notifications based on new evidence, ensuring a closed-loop management system where every response is recorded and used to promote coordination. Through this mechanism, emergency notifications follow risk stratification and level-driven approaches, while also ensuring implementation through response verification.

[0074] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A remote real-time water quality alarm system for a water quality purification apparatus, characterized by, include: The water quality acquisition and judgment module is used to continuously monitor whether the water quality is abnormal. When the water quality is abnormal, it sends an abnormal signal to the central processing unit. The central processing unit is used to receive abnormal signals and determine the abnormal device based on the abnormal signals. The impact range assessment module is used to assess the impact range of abnormal equipment by combining the location of the abnormal equipment in the water supply network and its positional relationship with other abnormal equipment. The tiered alarm module is used to generate alarm commands of corresponding levels based on the scope of the impact of abnormal equipment; the specific process is as follows: Extract the boundary and skeleton of the impact range of the abnormal equipment as the center, and generate a ring template from near to far as a reference for the classification of the impact range of the abnormal equipment. Determine the status of the affected area of ​​the abnormal equipment on the ring-shaped template; map the alarm level based on the status of the affected area of ​​the abnormal equipment. The specific content of extracting the boundary and skeleton of the influence range of the abnormal device as the center, and generating the ring template from near to far, is as follows: An influence intensity field is constructed with the abnormal equipment as the center. It propagates along the pipe section and converges at the nodes to form a continuous influence intensity distribution, which serves as the measurement benchmark for extracting the influence skeleton line and influence boundary line of the abnormal equipment. The main ridge line of intensity is extracted from the intensity distribution as the skeleton line of the abnormal equipment influence, and the inflection point where the intensity changes from increasing to decreasing is connected to form a closed boundary line to generate the boundary line of the abnormal equipment influence. Using the skeleton line affected by abnormal equipment as the central axis, layer the adjacent equal strength lines from the inside out according to the topological distance to generate ring templates from near to far, and record the correspondence between the ring number and the affected skeleton line. The emergency notification module is used to generate alarm notification measures for abnormal equipment based on the alarm command level of the abnormal equipment, combined with the importance of the abnormal equipment's location and the scope of its impact.

2. The remote real-time water quality alarm system for water purification equipment according to claim 1, characterized in that, In the impact range assessment module, the process of assessing the impact range of the abnormal device by combining its location in the water supply network and its positional relationship with other abnormal devices is as follows: Construct a directed topology graph and node attribute set for the water supply network, locate abnormal devices based on abnormal signals, and map the abnormal devices to a unique network node; Initiate bidirectional flow fingerprinting at abnormal device nodes, trace along the flow direction and counter-flow direction to the boundary valve and water source, extract arrival sequence and branch relationship, and form an influence candidate subgraph; Based on water age stratification, water age equipotential circles are constructed on the candidate subgraph of influence, and nodes that are connected and have the same water age are defined as the propagation time sequence boundary; Project the location relationships of abnormal equipment onto the candidate sub-map of influence, merge overlapping influence domains in the same direction of flow, and mark the confluence boundaries of the opposite direction of flow to obtain the influence range map; Virtual isolation valve nodes are set in key pipe sections of the influence range map to simulate network connectivity changes in the closed state, and the influence range boundary is corrected based on the connectivity changes.

3. A remote real-time water quality alarm system for water purification plant as claimed in claim 1 wherein, The specific content for determining the influence range of abnormal equipment on the ring strip template includes: not touching the boundary is the isolated state, touching the boundary but not connecting the upstream and downstream is the boundary state, and connecting the upstream and downstream is the connected state.

4. A remote real-time water quality alarm system for water purification plant as claimed in claim 1 wherein, The specific content of the alarm level mapping based on the impact range of abnormal equipment includes: triggering a primary abnormal equipment alarm command in an isolated state, triggering a medium-level abnormal equipment alarm command in a boundary state, and triggering a high-level abnormal equipment alarm command in a through state.

5. A remote real-time water quality alarm system for water purification plant as claimed in claim 1 wherein, In the emergency notification module, the process of generating abnormal equipment alarm notification measures based on the abnormal equipment alarm command level, combined with the importance and impact range of the abnormal equipment location, is as follows: The impact range of abnormal equipment is superimposed with the importance of the abnormal equipment's location to divide it into core ring zone, boundary ring zone, and outer ring zone, forming a priority sequence of zone locations, which serves as the basis for ranking abnormal equipment alarm notification measures; Establish the ring start order based on the alarm command level of abnormal equipment, with higher alarm command level boundary priority and lower alarm command level core priority, and generate a level order table accordingly; Using the partition location priority sequence and level order table as input, generate abnormal equipment alarm notification measures, determine the notification targets, notification order and notification rounds, and maintain consistency in the description of abnormal equipment alarm notification measures; Echo verification requirements are set at the boundary of the affected area, and the echo confirmation is completed by the boundary ring object; supplementary notifications are triggered in the non-echo area, and the alarm notification measures for abnormal equipment are adjusted according to the echo results.

6. A remote real-time water quality alarm system for water purification plant as claimed in claim 5 wherein, The specific process of generating abnormal equipment alarm notification measures, determining the notification targets, notification order, and notification rounds, and maintaining consistency in the expression of abnormal equipment alarm notification measures, using the partition location priority sequence and level order table as input, is as follows: Map the partition location priority sequence to the level order table to generate a notification mapping table, and mark the notification objects and their respective rings; Based on the notification mapping table, the order of ring zone entry is determined according to the level order table, and then sorted within each ring zone according to the priority sequence of partition position to form the notification order; The system adopts a segmented round-robin method, with the first notification ring covering the first notification target, the second notification ring covering the remaining notification targets, and the final notification ring covering all notification targets across different rings. A unified sentence structure is used to form the abnormal equipment alarm notification measures.

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