A water monitoring management system for water conservancy irrigation

Abstract

The present application relates to the field of industrial internet and resource scheduling, and discloses a water monitoring and management system for water conservancy irrigation, comprising a cloud management platform, a communication network and a plurality of edge service processing units distributed in a business coverage topology domain, wherein the cloud management platform issues a quota hash token containing a logical serial number to limit the authorized solution space; the edge service processing unit listens to the current logical serial number broadcast by the adjacent node, determines the local concurrent punishment factor by calculating the serial number difference sum, and accordingly adjusts the upper limit of the local authorized solution space, the present application realizes the autonomous convergence of the authorized state with the local business density, eliminates the risk of pipe network water pressure dramatic change and power grid overload triggered by high concurrent business under the real-time intervention of the cloud computing power, and improves the scheduling safety of wide-area heterogeneous devices.

Description

Technical Field

[0001] This invention relates to a water conservancy irrigation water monitoring and management system, belonging to the field of industrial internet and resource scheduling technology. Background Technology

[0002] Currently, cloud platform architecture is the mainstream technology for generating scheduling schemes for widely distributed irrigation nodes. This involves using centralized computing clusters to aggregate hydrological characteristics and load boundaries to achieve digital allocation of water resources. However, when a large number of irrigation nodes generate concurrent water usage requests during peak demand periods, centralized computing power faces severe request backlog and scheduling congestion. This architectural-level processing time lag causes a timing misalignment between the quota allocation logic in the cloud and the physical actions on the edge, leading to unexpected pressure surges on the pipeline system. Improving server performance cannot eliminate the inherent response latency at the network protocol level. For example, [the text abruptly ends here, likely due to an incomplete sentence or missing information]. Chinese invention patent application CN121523828A discloses a parallel scheduling calculation method, system and device for a water conservancy model. It optimizes computing resources by visually displaying the status of computing nodes, units and processes in groups. However, under actual physical conditions, the scheduling bottleneck is the transient physical accumulation effect generated by the response of distributed terminals to instructions. Existing solutions lack real-time perception and logical coordination of the service trigger density in the local topology domain. They cannot dynamically converge the authorized space according to the instantaneous carrying capacity of the pipeline network. When maintaining efficient scheduling on the computing side, it is difficult to offset the risk of drastic changes in pipeline water pressure and overload of the power grid caused by the concurrent actions of multiple nodes on the edge side.

[0003] To address scheduling delays caused by high concurrency, simply increasing server performance cannot eliminate the inherent response latency at the network protocol level. If decision-making authority is delegated to the edge and a control scheme with preset fixed thresholds is adopted, the lack of dynamic constraints on global water rights quotas at edge nodes leads to global resource allocation conflicts and over-quota water usage. Analysis shows that existing technologies have the following shortcomings: 1. The response speed of centralized processing units to concurrent requests from heterogeneous nodes in a wide area is limited by bandwidth and logical latching mechanisms; 2. Edge execution logic lacks real-time perception of business density within the local topology; 3. The system cannot achieve asynchronous adaptive authorization effectiveness through the self-evolution of edge logical states while maintaining global quota consistency.

[0004] Therefore, the technical problem to be solved by this invention is how to establish a scheduling mechanism with adaptive shrinkage of the authorized space, which can offset the risk of local physical concurrency by utilizing the logical state evolution of edge control nodes while ensuring global quota consistency. Summary of the Invention

[0005] To address the problems mentioned in the background art, the technical solution of the present invention is as follows: A water conservancy irrigation water monitoring and management system, comprising a cloud management platform, a communication network, multiple edge service processing units distributed in a distributed service coverage topology domain, and a terminal execution unit logically connected to the edge service processing units:

[0006] The cloud management platform is used to issue quota hash tokens containing globally incrementing logical sequence numbers via the communication network, and to limit the local authorization solution space to a product constant C greater than the system threshold. And less than the safety limit value Within a one-dimensional continuous interval;

[0007] The edge business processing unit includes: a data interaction module, a data storage module, and a logic operation module; the data interaction module is used to maintain bidirectional logical connections with the cloud management platform and adjacent edge business processing units; the data storage module is used to store the local quota ledger, constraint state update equations, and the current logical sequence number;

[0008] The logic operation module is used to call the built-in local service density convergence logic to process the following steps after the integrity verification of the quota hash token is detected to be passed: Step S101, read the current logical sequence number of the adjacent edge service processing unit monitored in memory through the data interaction module, calculate the absolute value of the difference between each sequence number in the group of logical sequence numbers and the current logical sequence number in its own register, and accumulate the obtained absolute values ​​to obtain the sum of differences; Step S102, map the sum of differences to calculate a non-negative local concurrency penalty factor through a preset linear decay rule; Step S103, reduce the upper limit of the local authorization solution space based on the local concurrency penalty factor, and update the authorization status for the terminal execution unit according to the reduction result.

[0009] Preferably, in processing step S102, the edge service processing unit establishes a monotonically decreasing mapping relationship between the sum of differences and the local concurrency penalty factor. When the sum of differences decreases, it indicates that the logical sequence numbers held by adjacent edge service processing units are converging towards the latest global high-order interval, that is, the service triggering frequency within 500ms exceeds the resource carrying capacity of the distributed service coverage topology. The edge service processing unit increases the value of the local concurrency penalty factor to reduce the upper limit of the authorization solution space, thereby raising the local authentication threshold in real time and eliminating authorization redundancy.

[0010] Preferably, the edge service processing unit further includes: a service demand analysis module; the service demand analysis module is used to extract the feature vector of real-time service requests and perform orthogonal matching operation on the feature vector and the constraint matrix determined by the upper limit value of the authorization solution space; when the result of the orthogonal matching operation falls into a one-dimensional continuous interval, the logic operation module generates a water use authorization instruction and transmits it to the terminal execution unit.

[0011] Preferably, before processing step S101, the edge service processing unit obtains a logical topology map distributed by the cloud management platform through the communication network and determines a whitelist of logical communication topology domains based on the logical topology map; the edge service processing unit only processes the current logical sequence number broadcast from adjacent edge service processing units within the whitelist to eliminate heterogeneous service interference.

[0012] Preferably, after completing step S103, the edge service processing unit broadcasts the updated current logical sequence number to the logical communication topology through the data interaction module, thereby triggering adjacent edge service processing units to synchronously start their respective local service density convergence logic, and realizing dynamic coordination of the global authorization state.

[0013] Preferably, the edge service processing unit is used to monitor the real-time physical traffic data of the terminal execution unit through the access traffic sensing module, and encode the real-time physical traffic data into the feedback field of the quota hash token; when the global incrementing logical sequence number changes, the edge service processing unit uploads the confirmation packet containing the feedback field to the cloud management platform.

[0014] Preferably, the edge service processing unit is used to lock the output of the local water use authorization command when the local concurrency penalty factor reaches the preset circuit breaker threshold, and send a reconstruction request with a higher priority than the regular service request to the cloud management platform, and reset the local authorization solution space by retrieving the backup authorization token issued by the cloud management platform.

[0015] Preferably, the edge service processing unit further includes: an energy consumption metering module and an environmental sensing module; the energy consumption metering module is used to count the real-time power load of the terminal execution unit and to perform digital classification in steps of 50kW; the environmental sensing module is used to collect soil volume moisture content data within the service coverage area, and the value range of the soil volume moisture content data is 0 to 45vol.

[0016] Preferably, the logic operation module is used to use real-time power load and soil volumetric moisture content data as adaptive adjustment gain to perform secondary correction on the product constant C, so that the operating state of the terminal execution unit is stabilized within a preset window determined by physical environment parameters.

[0017] Compared with the prior art, the beneficial effects of the present invention are:

[0018] 1. In the monitoring and management of irrigation water use, a state space self-shrinking mechanism based on local execution density is constructed to eliminate the timing misalignment between cloud command issuance and edge physical response. By extracting the logical sequence number of neighboring nodes monitored by the edge control node and calculating the local concurrency penalty factor, the upper limit of the local authorization solution space is dynamically rewritten, so that the business execution action of any node is automatically transformed into a real-time increase in the authentication threshold of surrounding nodes. This variable self-evolution method based on logical sequence number jump breaks the static verification mode of the traditional cloud management platform where the authorization effectiveness is constant within a preset time window. Without the intervention of cloud computing power, the edge network can automatically downgrade the authorization state according to the local business density, avoiding the drastic changes in pipeline water pressure or the overload impact of regional power grid caused by the continuous legal execution of multiple nodes.

[0019] 2. Achieve decoupling of decision-making logic under cloud-edge collaboration, reduce concurrent lock contention and data bus load on the core computing nodes of the cloud platform. The cloud scheduling center only needs to periodically issue quota dynamic hash tokens representing global constraints, without intervening in the micro-start and stop control loop of massive irrigation nodes. Edge control nodes use local computing resources to complete the orthogonal matching calculation of business requirement feature vectors and constraint matrices, sinking and distributing the global optimization calculation tasks originally concentrated in the cloud to the edge topology. Under the premise of ensuring the mutual exclusion security of global water rights quotas, eliminate the instruction issuance delay caused by high concurrency requests, and improve the scheduling efficiency of the industrial internet platform in the management of wide-area heterogeneous devices.

[0020] 3. By adopting a mapping verification logic between high-dimensional state vectors and constraint matrices, the integrated assessment of multi-dimensional physical safety baselines in a single logical link is achieved. By uniformly encoding the target water pressure fluctuation limit, power grid peak and valley constraints, and crop water demand characteristic parameters into the constraint matrix, the edge control node can determine whether the current water request falls into the authorized solution space through a single matrix multiplication operation. This parameterized verification strategy achieves coordinated constraints on multiple physical parameters with low information processing overhead, avoids logical deadlock caused by multiple nested rules in traditional systems, and ensures the deterministic response and operational robustness of the system under complex operating conditions. Attached Figure Description

[0021] Figure 1 This is a flowchart of the water quota allocation and business density convergence process for the logical sequence number of the present invention.

[0022] Figure 2 This is a diagram showing the cloud-edge collaborative architecture and data interaction topology of the irrigation system of this invention.

[0023] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0024] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0025] A water conservancy irrigation water monitoring and management system includes a cloud management platform, a communication network, multiple edge service processing units distributed in a distributed service coverage topology, and terminal execution units logically connected to the edge service processing units.

[0026] The cloud management platform is used to issue quota hash tokens containing globally incrementing logical sequence numbers via the communication network, and to limit the local authorization solution space to a product constant C greater than the system threshold. And less than the safety limit value Within a one-dimensional continuous interval;

[0027] The edge business processing unit includes: a data interaction module, a data storage module, and a logic operation module; the data interaction module is used to maintain bidirectional logical connections with the cloud management platform and adjacent edge business processing units; the data storage module is used to store the local quota ledger, constraint state update equations, and the current logical sequence number;

[0028] The logic operation module is used to call the built-in local service density convergence logic to process the following steps after the integrity verification of the quota hash token is detected to be passed: Step S101, read the current logical sequence number of the adjacent edge service processing unit monitored in memory through the data interaction module, calculate the absolute value of the difference between each sequence number in the group of logical sequence numbers and the current logical sequence number in its own register, and accumulate the obtained absolute values ​​to obtain the sum of differences; Step S102, map the sum of differences to calculate a non-negative local concurrency penalty factor through a preset linear decay rule; Step S103, reduce the upper limit of the local authorization solution space based on the local concurrency penalty factor, and update the authorization status for the terminal execution unit according to the reduction result.

[0029] Preferably, in processing step S102, the edge service processing unit establishes a monotonically decreasing mapping relationship between the sum of differences and the local concurrency penalty factor. When the sum of differences decreases, it indicates that the logical sequence numbers held by adjacent edge service processing units are converging towards the latest global high-order interval, that is, the service triggering frequency within 500ms exceeds the resource carrying capacity of the distributed service coverage topology. The edge service processing unit increases the value of the local concurrency penalty factor to reduce the upper limit of the authorization solution space, thereby raising the local authentication threshold in real time and eliminating authorization redundancy.

[0030] Preferably, the edge service processing unit further includes: a service demand analysis module; the service demand analysis module is used to extract the feature vector of real-time service requests and perform orthogonal matching operation on the feature vector and the constraint matrix determined by the upper limit value of the authorization solution space; when the result of the orthogonal matching operation falls into a one-dimensional continuous interval, the logic operation module generates a water use authorization instruction and transmits it to the terminal execution unit.

[0031] Preferably, before processing step S101, the edge service processing unit obtains a logical topology map distributed by the cloud management platform through the communication network and determines a whitelist of logical communication topology domains based on the logical topology map; the edge service processing unit only processes the current logical sequence number broadcast from adjacent edge service processing units within the whitelist to eliminate heterogeneous service interference.

[0032] Preferably, the constraint state update equation satisfies the following logical relationship: ,in, ρ represents the upper limit of the local authorized solution space after adjustment, and ρ is the local concurrency penalty factor. The preset security limit for the cloud management platform.

[0033] Preferably, after completing step S103, the edge service processing unit broadcasts the updated current logical sequence number to the logical communication topology through the data interaction module, thereby triggering adjacent edge service processing units to synchronously start their respective local service density convergence logic, and realizing dynamic coordination of the global authorization state.

[0034] Preferably, the edge service processing unit is used to monitor the real-time physical traffic data of the terminal execution unit through the access traffic sensing module, and encode the real-time physical traffic data into the feedback field of the quota hash token; when the global incrementing logical sequence number changes, the edge service processing unit uploads the confirmation packet containing the feedback field to the cloud management platform.

[0035] Preferably, the edge service processing unit is used to lock the output of the local water use authorization command when the local concurrency penalty factor reaches the preset circuit breaker threshold, and send a reconstruction request with a higher priority than the regular service request to the cloud management platform, and reset the local authorization solution space by retrieving the backup authorization token issued by the cloud management platform.

[0036] Preferably, the edge service processing unit further includes: an energy consumption metering module and an environmental sensing module; the energy consumption metering module is used to count the real-time power load of the terminal execution unit and to perform digital classification in steps of 50kW; the environmental sensing module is used to collect soil volume moisture content data within the service coverage area, and the value range of the soil volume moisture content data is 0 to 45vol.

[0037] Preferably, the logic operation module is used to use real-time power load and soil volumetric moisture content data as adaptive adjustment gain to perform secondary correction on the product constant C, so that the operating state of the terminal execution unit is stabilized within a preset window determined by physical environment parameters.

[0038] Example 1: In a large-scale agricultural irrigation area scenario with cross-basin allocation needs and multi-level pipeline network constraints, a sudden increase in ambient temperature triggers multiple edge service processing units within the distributed service coverage topology to generate water usage messages within a 500ms time window. Due to the time delay between command issuance and physical pipeline pressure transmission in wide-area industrial networks, multiple spatially adjacent edge service processing units successively switch to execution state based on the static global quota issued by the cloud management platform. This continuous service triggering generates spatial density accumulation in the local topology area, causing global pipeline water pressure fluctuations and approaching the preset load critical threshold of the regional power grid. To cope with the pipeline water pressure fluctuations and power grid load surges caused by high-concurrency service triggering, the water conservancy irrigation water use monitoring and management system periodically issues quota hash tokens containing globally incrementing logical sequence numbers through the communication network via the cloud management platform, limiting the local authorized solution space to a product constant C greater than the system threshold. And less than the safety limit value Within a one-dimensional continuous interval, edge service processing units distributed across the distributed service coverage topology, after detecting that the integrity verification of the quota hash token has passed, read the current logical sequence number of adjacent edge service processing units monitored in memory through the data interaction module. The edge service processing unit calculates the sum of the differences between this set of logical sequence numbers and the current logical sequence number in its own register. During the difference calculation, the logic operation module specifies the extraction direction: using the logical sequence number of each adjacent edge service processing unit as the minuend and the current logical sequence number in its own register as the subtrahend, the subtraction operation is performed. The sum of these differences is then mapped to a non-negative local concurrency penalty factor ρ using a linear decay rule. Based on the reduction of the local authorized solution space upper limit by the local concurrency penalty factor, the logical mapping between the decrease in the sum of differences and the increase in the frequency of business triggering is based on the dynamic evolution characteristics of the globally increasing logical sequence number. Since the sequence number issued by the cloud management platform increases linearly with the global business triggering action, when the business density in the local topology domain surges, adjacent edge business processing units will successively acquire and update the sequence number within a very short time window. This causes the logical sequence numbers in the registers of each node to highly converge and synchronously move towards the current highest global sequence number value. At this time, the absolute value of the difference between the sequence numbers of the nodes collapses rapidly, which is manifested as a monotonically decreasing sum of differences. Therefore, the real-time change of the sum of differences can directly and sensitively reflect the transient concurrency pressure of the local physical network, providing... The dynamic shrinking of the authorized solution space provides a solid logical basis. During difference calculation, the logic operation module within the edge service processing unit pre-processes the absolute value of the deviation between each acquired adjacent node sequence number and its own current sequence number. All extracted absolute values ​​are then unsignedly summed to obtain the final difference sum. This absolute value summation procedure eliminates the algebraic cancellation of positive and negative deviations caused by the overlapping or delayed timing of network node service triggers. Under this logical architecture, the magnitude of the difference sum reflects the logical synchronization of nodes within the local topology during the dynamic quota acquisition process. Since the global logical sequence number continuously increases with service triggering, when high-concurrency service triggering occurs in a local area, the adjacent edge service processing... Each unit acquires and overwrites its sequence number within the same extremely short time window, causing the logical sequence numbers held by relevant nodes in the region to quickly converge to the latest high-order interval of the global sequence number. The absolute value of the sequence number difference between nodes collapses and shows a monotonically decreasing trend. Conversely, sparse service triggering indicates a significant gap in sequence number updates between nodes, manifested as a large sum of differences. Through this mechanism, the system transforms the originally discrete network node states into a logical density index with a deterministic mapping relationship and an inverse relationship with the service triggering frequency. This facilitates the accurate conversion of high-frequency sequence number jumps of nodes in a local region into a non-negative cumulative amount of service density, providing a rigorous input with a monotonically decreasing relationship for the subsequent calculation of the penalty factor.

[0039] The logic operation module calls the constraint state update equations stored in the data storage module. Reconstruct the threshold, where, This is the reduced maximum value for the local licensed solution space. The initial safety upper limit is set, and ρ is the local concurrency penalty factor. Based on the principle of multivariable decoupling negative feedback control, environmental parameters and grid load state quantification boundaries are introduced to suppress the risk of physical network and grid exceeding limits caused by single logic authentication. The logic operation module reads the real-time power load P from the energy consumption metering module in 50kW increments and the soil volume moisture content data θ collected by the environmental sensing module. The adaptive adjustment gain G is calculated based on the built-in linear weighted attenuation model. To ensure logical coordination between different physical parameters and reduce dimensional differences, this embodiment pre-normalizes the input variables, and the calculation formula is optimized as follows: In the above formula, This indicates the current power load as a percentage of the rated upper limit. This represents the current environmental moisture content relative to the safe threshold. A division operation transforms the original dimensional value into a dimensionless scaling factor, enabling subsequent arithmetic subtraction operations and ensuring gain. These are dimensionless parameters, and the system sets weighting coefficients accordingly. and The sum constraint is a constant 1, and the logic operation module introduces a lower boundary truncation operator during the calculation process. Its technical significance lies in the fact that when the regional power load is severely excessive or the soil moisture reaches the saturation limit, causing the weighted attenuation term to be greater than or equal to 1, the system will increase the gain. Locking the value to 0, rather than allowing it to enter the negative range, this boundary handling mechanism ensures the product constant is... The secondary correction process fluctuates only within the authorized shrinkage range, avoiding abnormal reversals of the authorized state of the terminal execution unit caused by logical negative values, thus ensuring the robustness of system operation under extreme physical conditions. The calculation formula is as follows: Where G is the dimensionless adaptive adjustment gain with a value constrained to the interval between 0 and 1, and P is the real-time power load value after hierarchical discretization. The upper limit of the rated load of transformers is preset for the regional power grid nodes, and θ is the value of the collected soil volumetric moisture content. To set the safe critical saturation water content for crops, the constant term is set to 45 vol%. and These are the dimensionless power grid load weighting coefficient and the environmental moisture weighting coefficient, respectively, with the sum of the scalars constrained to a constant of 1. The logic operation module will set the upper limit of the local authorized solution space. Multiplying the product by the adaptive adjustment gain G, the product result is extracted and updated to the product constant C after secondary correction. The system then uses a pre-calibration physical calibration procedure to determine the weighting coefficients. and Based on the baseline value, the main control unit independently applies approximation values ​​in the isolated external service command no-load test network. Simulated load step signal and approximation The humidity boundary pulse, which is the overshoot of water pressure regulation by the acquisition terminal execution unit under two single excitation conditions, is denoted as... (Under electrical excitation) and (Under moisture excitation), since the magnitude of the overshoot peak value characterizes the sensitivity of the physical pipeline network to interference terms in different fields, this invention calculates the reciprocal of the two sets of overshoot peak values ​​(i.e., and The system quantifies the stability contribution of each physical channel. Then, the logic operation module performs a linear normalization mapping, which involves calculating the sum of the first and second reciprocals, and determining the proportion of each reciprocal in the sum. The resulting proportions are then directly assigned to the corresponding weighting coefficients. and The assignment correlation logic ensures that if the overshoot fluctuation caused by a certain physical channel is severe, its contribution to stability is relatively low. Through normalization mapping, this channel adaptively adjusts the gain. In the calculation, a higher self-discipline constraint weight will be obtained (i.e., the corresponding weight). (Increasing the value), thereby establishing the dynamic adjustment benchmark weight of the bivariate feedback channel, calculating the reciprocal of the peak values ​​of the two sets of overshoot, performing linear normalization mapping on the reciprocal ratio and directly assigning it to the corresponding weight coefficient parameter, establishing the adjustment benchmark weight of the bivariate feedback channel. This reconstruction logic is based on the monotonically decreasing mapping relationship between the sum of differences and the local concurrency penalty factor ρ. To clarify the scheduling significance of the sum of differences at the physical level, it is defined as the topology domain business synchronization convergence degree. Since the globally increasing logical sequence number represents the consumption progress of water rights quota, when multiple nodes occur within the distributed business coverage topology domain... During high-frequency concurrent operations, edge service processing units within a local area will successively and intensively acquire and update sequence numbers, causing the logical sequence numbers in the registers of each node to be highly similar in spatiotemporal distribution. This manifests as a logical collapse in the absolute value of the sequence number difference between adjacent nodes, leading to a monotonically decreasing sum of differences. If an asymmetric service trigger condition occurs where a node is more active than its neighbor, although its own sequence number is ahead of its neighbor, because surrounding nodes are idle or in a low-frequency state, no risk of transient traffic accumulation has formed in the local topology. In this case, the sum of differences is relatively large, triggering the local concurrency penalty factor. By maintaining a low level, this design ensures that the system can accurately perceive the intensity of concurrent congestion in the local physical pipe network: that is, the smaller the sum of the differences, the higher the local concurrent density, and the greater the risk of water pressure surge in the physical pipe network, thereby triggering the local concurrent penalty factor. The increase in the value of the authorization solution space leads to a synchronous decrease in the upper limit of the authorization solution space. Through the clear definition of this physical meaning, this invention achieves autonomous convergence of the authorization state with local business density (rather than single-point activity), accurately offsetting the risk of physical overload caused by concurrent actions of multiple nodes. When the service triggering frequency of adjacent edge service processing units exceeds the baseline bearing parameter of the distributed service coverage topology within 500ms, the decrease in the sum of the differences triggers an increase in the value of the local concurrency penalty factor ρ, causing a synchronous decrease in the upper limit of the authorization solution space. The service demand analysis module extracts the feature vector of the real-time service request and performs an orthogonal matching operation on the constraint matrix determined by the reduced upper limit of the local authorization solution space. When the result of the orthogonal matching operation falls into the reduced one-dimensional continuous interval, the logic operation module generates a water authorization instruction and transmits it to the terminal execution unit. The system uses the jump of the logical sequence number in the underlying communication network to... The variable parameter calculation reduces the local authorized threshold, balancing asynchronous service scheduling requests and physical network load within the edge service processing unit. It should be noted that the system's elimination of sudden changes in network water pressure is not based on a post-event physical damping response after water hammer occurs, but rather on a proactive preventative control mechanism. Since the opening of physical hardware such as solenoid valves or pumps in the network terminal execution unit has inherent mechanical hysteresis characteristics, its action cycle is usually between 1 and 2 seconds. The 500ms logic authentication time window of this system is much smaller than the mechanical delay of the physical valve from receiving the command to fully opening. Therefore, before the concurrent command is actually transformed into a transient shock wave in the physical water medium, that is, in the initial stage of control signaling flow, the system completes the collapse of the authorized threshold and the interception of redundant execution commands in advance. Thus, on a macro-long time scale, the physical causal chain of multiple valves opening simultaneously and causing water hammer effect is cut off.

[0040] The single service output of the edge service processing unit serves as an input variable in the calculation of the sum of differences between neighboring edge service processing units, raising the water use authentication threshold for neighboring nodes. Multiple edge service processing units within the distributed service coverage topology dynamically shrink their respective authorized solution spaces based on the local sequence number difference distribution, without cloud computing power access. The total concurrent water rights requests within a local area are controlled within a dynamically shrinking one-dimensional continuous interval. The water pressure indicators and grid load of the system's physical network nodes remain within a preset safety range. In network interaction scenarios involving continuous quota allocation, the cloud management platform transmits a quota hash token carrying an asymmetric cryptographic signature to the edge service processing unit via the communication network. The data interaction module receives the quota hash token and passes it to the logic operation module to extract the cryptographic signature. The computation module calls the public key pre-installed in the data storage module to decrypt the cryptographic signature and output the restored sequence number. The logic computation module compares the restored sequence number with the globally incrementing logical sequence number carried in the plaintext data segment of the quota hash token. When the two values ​​are completely consistent, the integrity verification is deemed successful, and the globally incrementing logical sequence number is overwritten to the local quota ledger of the data storage module to update the anti-replay cursor. After the logic computation module generates a water use authorization instruction and transmits it to the terminal execution unit, the logic computation module reads the expected water use consumption parameter contained in the water use authorization instruction and deducts the available water use balance constant in the local quota ledger according to the expected water use consumption parameter. The water conservancy irrigation water use monitoring and management system uses this sequence number to cryptographically verify and deduct the local ledger value to close the water use data flow channel on the edge node side.

[0041] Example 2: This example selects a discrete event network simulation platform and couples it with a computational fluid dynamics pipeline network model to simulate the interaction state of topological nodes with cross-basin allocation physical constraints. Gaussian white noise with a signal-to-noise ratio of 15dB and a random packet loss rate of 5% are injected into the node communication channel to provide the original network packets containing environmental disturbances and pipeline water pressure telemetry signals. The basic sampling time window parameter in the local service density convergence logic is set to be controlled by the node communication baud rate and the pipeline water hammer effect propagation constant. The calibration of this parameter is used to achieve a balance between capturing transient concurrent peaks and filtering out small network jitters. According to the built-in decision-making model, when the background noise power spectral density in the network channel increases, the value of the basic sampling time window shifts to the upper limit of the effective interval to avoid misadjustment caused by high-frequency pseudo-random jumps. According to this mapping rule, under the condition of superimposed 15dB Gaussian white noise, the basic sampling time window is determined to be 500ms.

[0042] Three different levels of concurrent triggering intensity were set up, corresponding to a low-intensity scenario of 200 requests per 500ms, a medium-intensity scenario of 500 requests per 500ms, and a high-intensity scenario of 800 requests per 500ms. Three independently running test groups were also established simultaneously. Control group one removed the difference summation calculation step in the logic operation module and used a fixed upper limit for authorization solution space. Control group two retained the complete operation logic and set the system threshold... The test group used the complete logic and limited the parameter values ​​to a preset one-dimensional continuous range. When the simulation platform was in a low-intensity working condition with 200 requests every 500ms, the water pressure at the end of the pipeline output by the three models was maintained at the normal benchmark of 0.35MPa. As the system switched to a high-intensity concurrent triggering phase with 800 requests every 500ms, the original sequence number messages containing noise disturbances flooded into each edge service processing unit. The data interaction module of the test group read the current logical sequence number broadcast by the adjacent node within 500ms. The register calculated the sum of the differences between the sequence number and its own current logical sequence number and recorded the sum of the differences shrinking to 450. The logic operation module mapped the sum of the differences of 450 to a local concurrency penalty factor of 0.35 according to the linear decay rule.

[0043] The logic operation module substitutes the local concurrency penalty factor ρ, which is 0.35, into the constraint state update equation. ,because It has value constraints to ensure The term is always in a non-negative state, and the upper limit of the recalibrated local authorized solution space is... As the system collapses downwards, the business demand analysis module of the test group outputs orthogonal matching results. The total number of effectively issued water usage authorization commands decreases from the initial 800 to a stable 520. When the business density within a local topology reaches the physical carrying capacity limit, causing the sum of the differences to tend to a minimum, the local concurrency penalty factor... It will saturate and converge toward its upper limit of 1, at which point the upper limit of the local authorized solution space is... Synchronization to system threshold By converging, the logical level eliminates the possibility of negative upper limits for authorization, ensuring the numerical determinism and monotonic contraction characteristics of the physical authorization state under extreme overload conditions. The measured water pressure at the end of the pipeline recovers to a safe range of 0.28 MPa, and the regional power grid current is controlled within 85% of the rated load. In control group one, due to the lack of a local concurrency penalty factor suppression parameter, 790 authorization instructions were issued, causing the water pressure at the end of the pipeline to drop to the pipeline failure point of 0.12 MPa, and the power grid current to exceed the limit to 115% of the rated load. The data flow record of control group two shows a nonlinear effect of parameter degradation; when the local concurrency penalty factor increases, due to the system threshold... When the set value exceeds the limit, the upper limit of the local authorized solution space collapses downward and breaks through the physical inflection point that maintains the basic survival water volume. In control group two, the water pressure in the pipeline network did not drop, but the number of authorized instructions fell below 30, triggering an agricultural water shortage anomaly at the system level. The experimental group relied on the product constant C being greater than the system threshold. And less than the safety limit value The dual-boundary constraint maintains the issuance of basic instructions while shrinking the high-density concurrent quota. The local concurrency penalty factor ρ, derived from the sum of the logical sequence number differences, works in conjunction with the dual-boundary constraint of the one-dimensional continuous interval. In an environment where industrial channels containing 15dB Gaussian white noise overlap with high-concurrency requests, the system offsets the risk of water pressure imbalance in the physical pipeline network based on the authorization collapse at the logical level. The water conservancy irrigation water monitoring and management system completes the convergence of local business density without cloud computing power intervention.

[0044] Example 3: In an agricultural irrigation area scenario where equipment is in its aging phase and node communication topology frequently shifts, the instantaneous water pressure signal collected by some edge service processing units is mixed with high-frequency water hammer noise. The system is in a state of feature vector extraction distortion and authorization matching failure. The cloud management platform issues quota hash tokens and limits the local authorization solution space to those where the product constant C is greater than the system threshold. And less than the safety limit value Within a one-dimensional continuous interval, edge service processing units distributed across the distributed service coverage topology extract feature vectors of real-time service requests. These feature vectors contain three physical parameters: the first dimension characterizes the rate of change in water valve opening; the second dimension characterizes the first derivative of the instantaneous water pressure at the pipeline node; and the third dimension characterizes the cumulative frequency of service triggers within a historical 500ms time window. The data interaction module reads the current logical sequence number of adjacent edge service processing units monitored in memory. The logic operation module calculates the sum of the differences between this set of logical sequence numbers and the current logical sequence number in its own register, and calculates the local concurrency penalty factor ρ according to a preset linear decay equation. The linear decay equation is as follows: Sum of differences The physical logic that accurately characterizes the frequency of service triggering in a local topology domain lies in its ability to quantify the spatiotemporal synchronization depth of the logical states of distributed nodes. Because the logical sequence numbers issued by the cloud management platform possess a globally monotonically increasing property, when the frequency of service triggering in a local area significantly increases, multiple edge service processing units distributed within that topology domain will successively acquire and update the latest logical sequence numbers within a very short time window. This high-frequency acquisition action leads to a forced convergence effect on the logical scale of the sequence numbers held by local nodes; that is, the absolute value of the deviation between the sequence numbers of each node and their state relative to the previous moment rapidly decreases, manifesting as… The value of is monotonically decreasing, therefore What is actually being measured is the normalized distance between nodes within a local topological domain in terms of logical evolution. The smaller the value, the more frequent and overlapping the actions of local nodes in acquiring quotas, meaning a higher frequency of business triggering. This can be achieved by setting the maximum tolerance sequence number span. As a logical threshold, the frequency of asynchronous business operations, which was originally difficult to measure, is transformed into a directly calculable logical deviation, ensuring the local concurrency penalty factor. The accuracy and real-time performance of local business density perception, where α is a dimensionless weighting coefficient. The maximum tolerance sequence number span is preset for the distributed service coverage topology domain. The sum of the calculated differences is the limit tolerance sequence number span. The specific value is determined by the total number of edge service processing units contained within the local logical communication topology and the nominal network communication baud rate within the basic sampling time window. During engineering implementation, The parameter is pre-set as the arithmetic sum of the absolute values ​​of the legal sequence number increments that all whitelisted nodes in the local communication subnet can broadcast externally within the sampling time window under maximum concurrency and no conflict. This parameter represents the theoretical limit of service throughput that the physical network nodes and communication channels in this specific area can carry.

[0045] The business requirements analysis module receives a constraint matrix synchronously distributed from the cloud management platform, determined by the reduced upper limit of the local authorized solution space. This constraint matrix has three columns corresponding to the eigenvectors. When the cloud management platform distributes the constraint matrix, it uses the reduced upper limit of the local authorized solution space as a dynamic scaling scalar, multiplying it numerically with the first, second, and third diagonal reference values ​​of the static constraint matrix. This dynamically updates the size of the diagonal elements of the constraint matrix in real time. This mapping mechanism ensures that when the upper limit of the local authorized solution space shrinks, the tolerance boundaries representing allowable water pressure fluctuations and trigger frequencies in the constraint matrix shrink synchronously and proportionally. The logic operation module projects the eigenvectors into the weighted metric space defined by the constraint matrix. By calculating the mapping correlation strength between each component of the eigenvector and the corresponding diagonal elements of the constraint matrix and performing nonlinear superposition, it outputs the scalar result of the orthogonal matching operation. The logic operation module determines the numerical range of the scalar result; if the scalar result is greater than the system threshold... And less than the reduced local licensed solution space upper limit. At that time, the logic operation module generates water use authorization instructions and transmits them to the terminal execution unit via the data bus; the edge business processing unit extracts three-dimensional physical parameters and performs scalar orthogonal operations to filter out pseudo-random requests caused by high-frequency water hammer noise. Under the constraint of frequent topology node drift, the water conservancy irrigation water use monitoring and management system maintains the uniqueness of water rights quota distribution logic and the steady state of pipeline water pressure based on the linear decay equation and the one-dimensional interval boundary comparison logic.

[0046] Example 4: When the system faces the deployment scenario of new node access, the edge service processing unit initiates a pre-calibration procedure before entering the scheduling flow. The cloud management platform sends a static feature set consisting of the physical elevation of the pipeline network and the cross-sectional area of ​​the main pipeline to the distributed service coverage topology domain. The logic operation module calculates the theoretical maximum water rights throughput based on the static feature set, and then multiplies the theoretical maximum water rights throughput by the calibration safety factor to output the safety upper limit value. The data interaction module extracts the background communication jitter frequency under no-load conditions as the noise floor benchmark, and the logic operation module adds the noise floor benchmark to the tolerance constant to output the system threshold. The edge service processing unit determines the numerical boundary of a one-dimensional continuous interval.

[0047] After determining the numerical boundaries, the cloud management platform initiates the offline calibration data filling procedure to construct a constraint matrix equivalent to the feature vector. The data interaction module injects transient water pressure disturbances into the pipeline network and records the pipeline resonance amplitude excited by different valve opening change rates. The business demand analysis module extracts the critical change rate for maintaining steady water pressure as the first dimension benchmark value, the business demand analysis module extracts the first derivative of the maximum water pressure as the second dimension benchmark value, and the business demand analysis module selects the upper limit of node trigger frequency as the third dimension benchmark value. The logic operation module maps the first, second, and third dimension benchmark values ​​to the diagonal elements of the matrix in sequence. The logic operation module assigns zero to the off-diagonal elements of the matrix. The edge business processing unit calls the constraint matrix to filter out non-primary metadata in the feature vector, and the water conservancy irrigation water monitoring and management system enters the normal response state.

[0048] Example 5: When the system faces deployment conditions with different pipeline topologies and regional power grid load characteristics, the cloud management platform sends a set of field topology parameters to the distributed service coverage topology domain, consisting of the spatial coordinates of edge service processing units, the physical connection matrix of main pipeline nodes, and the rated capacity of regional power grid transformers. The data interaction module collects the round-trip communication delay between each edge service processing unit and establishes a delay topology map under the system's no-load state. Based on the field topology parameter set and the delay topology map, the logic operation module classifies edge service processing units whose spatial distance is less than the physical distance corresponding to the round-trip communication delay into the same logical communication topology domain. The logic operation module generates a whitelist containing the identifiers of adjacent nodes.

[0049] After generating the whitelist, the data interaction module continuously injects three water pressure pulse signals with different frequency gradients into the pipeline network. Simultaneously, the data interaction module collects the current fluctuation envelope of the regional power grid. The logic operation module extracts the steady-state operating point where the current fluctuation envelope value is less than 85% of the rated capacity and the pipeline water pressure variance is at its minimum. The logic operation module then fits the water valve opening value corresponding to the steady-state operating point with the pulse frequency value to calculate the intrinsic resonant frequency of the pipeline network. The reciprocal of the intrinsic resonant frequency is set as the system threshold. The lower bound parameter is used to enable the edge service processing unit to access the distributed service coverage topology domain and maintain the initial ready state of monitoring the status of adjacent nodes.

[0050] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0051] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A water conservancy irrigation water monitoring and management system, characterized in that, This includes a cloud management platform, a communication network, multiple edge service processing units distributed across a distributed service coverage topology, and terminal execution units logically connected to the edge service processing units. The cloud management platform is used to issue quota hash tokens containing globally incrementing logical sequence numbers via the communication network, and to limit the local authorization solution space to a product constant C greater than the system threshold. And less than the safety limit value Within a one-dimensional continuous interval; The edge business processing unit includes: a data interaction module, a data storage module, and a logic operation module; the data interaction module is used to maintain bidirectional logical connections with the cloud management platform and adjacent edge business processing units; the data storage module is used to store the local quota ledger, constraint state update equations, and the current logical sequence number; The logic operation module is used to call the built-in local service density convergence logic to process the following steps after the integrity verification of the quota hash token is detected to be passed: Step S101, read the current logical sequence number of the adjacent edge service processing unit monitored in memory through the data interaction module, calculate the absolute value of the difference between each sequence number in the group of logical sequence numbers and the current logical sequence number in its own register, and accumulate the obtained absolute values ​​to obtain the sum of differences; Step S102, map the sum of differences to calculate a non-negative local concurrency penalty factor through a preset linear decay rule; Step S103, reduce the upper limit of the local authorization solution space based on the local concurrency penalty factor, and update the authorization status for the terminal execution unit according to the reduction result.

2. The irrigation water monitoring and management system according to claim 1, characterized in that, In step S102, the edge service processing unit establishes a monotonically decreasing mapping relationship between the sum of differences and the local concurrency penalty factor. When the sum of differences decreases, it indicates that the logical sequence numbers held by adjacent edge service processing units are converging towards the latest global high-order interval. That is, the service triggering frequency within 500ms exceeds the resource carrying capacity of the distributed service coverage topology. The edge service processing unit increases the value of the local concurrency penalty factor to reduce the upper limit of the authorization solution space, thereby raising the local authentication threshold in real time and eliminating authorization redundancy.

3. The irrigation water monitoring and management system according to claim 1, characterized in that, The edge service processing unit also includes: a service requirement analysis module; the service requirement analysis module is used to extract the feature vector of real-time service requests and perform orthogonal matching operation between the feature vector and the constraint matrix determined by the upper limit value of the authorization solution space; when the result of the orthogonal matching operation falls into a one-dimensional continuous interval, the logic operation module generates a water use authorization instruction and transmits it to the terminal execution unit.

4. The irrigation water monitoring and management system according to claim 1, characterized in that, Before processing step S101, the edge service processing unit obtains the logical topology map distributed by the cloud management platform through the communication network and determines the whitelist of logical communication topology domains based on the logical topology map. The edge service processing unit only processes the current logical sequence number broadcast from adjacent edge service processing units within the whitelist to eliminate heterogeneous service interference.

5. The irrigation water monitoring and management system according to claim 1, characterized in that, After completing step S103, the edge service processing unit broadcasts the updated current logical sequence number to the logical communication topology through the data interaction module, thereby triggering adjacent edge service processing units to synchronously start their respective local service density convergence logic, and realizing dynamic coordination of the global authorization state.

6. The water conservancy irrigation water monitoring and management system according to claim 1, characterized in that, The edge service processing unit is used to monitor the real-time physical traffic data of the terminal execution unit through the access traffic awareness module, and encode the real-time physical traffic data into the feedback field of the quota hash token; when the global incrementing logical sequence number changes, the edge service processing unit uploads the confirmation packet containing the feedback field to the cloud management platform.

7. The irrigation water monitoring and management system according to claim 1, characterized in that, The edge service processing unit is used to lock the output of local water use authorization instructions when the local concurrency penalty factor reaches the preset circuit breaker threshold, and send a reconstruction request with higher priority than regular business requests to the cloud management platform. The local authorization solution space is reset by retrieving the backup authorization token issued by the cloud management platform.

8. The water conservancy irrigation water monitoring and management system according to claim 1, characterized in that, The edge service processing unit also includes: an energy consumption metering module and an environmental sensing module; the energy consumption metering module is used to count the real-time power load of the terminal execution unit and to perform digital classification in steps of 50kW; the environmental sensing module is used to collect soil volume moisture content data within the service coverage area, and the soil volume moisture content data ranges from 0 to 45vol.

9. A water conservancy irrigation water monitoring and management system according to claim 8, characterized in that, The logic operation module uses real-time power load and soil volumetric moisture content data as adaptive adjustment gain to perform a secondary correction on the product constant C, so that the operating state of the terminal execution unit is stabilized within a preset window determined by physical environment parameters.

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