Multi-source flow measurement data processing and site cross-section flow edge measurement device

Abstract

The application relates to a multi-source flow measurement data processing and station cross-section flow edge measuring device, and belongs to the technical field of river hydrology automatic monitoring. A data access unit of the device is used for receiving flow velocity observation data; a time synchronization unit is used for time alignment of water level data and various flow velocity observation data; a device state recognition unit is used for generating device state information; an edge calculation unit is used for determining fused representative flow velocity, and calculating cross-section flow in combination with a dynamic flow velocity correction coefficient and a water level-area relationship; a communication unit is used for uploading cross-section flow, device state information, operation logs and / or alarm information, and receiving remote rating data, configuration parameters or model parameters. The application is not limited to the installation mode of external flow measurement equipment, and through completion of multi-source flow measurement data access, time synchronization, device state recognition, edge calculation and remote rating updating on the site side, the continuity, stability and on-site adaptability of cross-section flow calculation are improved.

Description

Technical Field

[0001] This invention relates to a device for processing multi-source flow measurement data and calculating the edge of flow at station cross sections, belonging to the field of automatic river hydrological monitoring technology. Background Technology

[0002] Flow rate calculation at fixed cross-sections of hydrological stations typically requires the simultaneous use of water level data and flow velocity observation data. With the application of automatic monitoring equipment in river hydrological monitoring, various external monitoring devices may be deployed simultaneously at the station site, including water level gauges, contact velocity acquisition devices, acoustic flow measurement devices, radar flow measurement devices, video image flow measurement devices, and buoy or floating object identification flow measurement devices. Different devices have inconsistent data interfaces, sampling periods, timestamp formats, data output frequencies, and data quality. Therefore, it is necessary to perform unified access, time synchronization, status identification, and fusion processing of multi-source data at the station level.

[0003] Existing telemetry terminals at existing stations typically primarily handle data acquisition, caching, and forwarding, lacking the ability to uniformly assess the time reference, operational status, and data reliability of output data from different types of flow measurement equipment. When radar flow measurement equipment is affected by rainfall, fog, water surface disturbances, or reflections; video image flow measurement equipment is affected by lighting, reflections, image texture quality, or floating debris interference; and contact or acoustic flow measurement equipment is affected by siltation, floating debris, changes in installation angle, or water flow turbulence, existing equipment struggles to promptly identify abnormal data and dynamically adjust the participation level of different data sources at the station based on equipment status.

[0004] In mountainous areas, remote river channels, and unmanned areas, remote computing mode may affect the continuous output of flow at the on-site cross-section. For flood control, water resource scheduling, and automatic hydrological monitoring, the station-side devices need to have local computing, local caching, breakpoint resume, and remote calibration and update capabilities.

[0005] Furthermore, the installation methods and equipment types of existing flow measurement equipment vary significantly across different stations. Requiring a unified modification of the external flow measurement equipment installation structure would increase the difficulty and cost of on-site modifications. Therefore, there is a need for a cross-sectional flow measurement device that is not limited by the installation method of external flow measurement equipment, is compatible with multiple existing flow measurement devices, and can perform multi-source access, time synchronization, status identification, edge calculation, and remote calibration updates at the station level.

[0006] Therefore, the present invention provides a device for processing multi-source flow measurement data and calculating the edge of flow at station cross sections. Summary of the Invention

[0007] This invention provides a device for processing multi-source flow measurement data and calculating the edge of cross-sectional flow at a station, which solves the problems of inconsistent access to multi-source flow measurement data, difficulty in synchronizing data from different devices, the easy influence of abnormal flow velocity data on cross-sectional flow results, strong reliance on remote calculation, and lack of local fusion calculation capabilities of field equipment.

[0008] This invention improves the continuity, stability, and field adaptability of cross-sectional flow measurement by setting up a data access unit, a time synchronization unit, an equipment status identification unit, an edge measurement unit, a storage unit, a communication unit, and a power supply unit at the site. This is achieved through unified access to water level data and flow velocity observation data from at least two types of external flow measurement devices. The time synchronization unit aligns the time of multi-source data. The equipment status identification unit identifies the operating status and data reliability of external flow measurement devices. The edge measurement unit performs multi-source flow velocity fusion, determines dynamic flow velocity correction coefficients, and calculates cross-sectional flow. The communication unit enables data interaction with a remote calibration platform. The storage unit allows for local storage of station configuration, model parameters, calibration data, and operational results.

[0009] The technical solution of the present invention is: a multi-source flow measurement data processing and station cross-sectional flow edge measurement device, comprising a data access unit, a time synchronization unit, a device status identification unit, an edge measurement unit, a storage unit, a communication unit and a power supply unit;

[0010] The data access unit is used to receive water level data from the station section and flow velocity observation data output by at least two types of external flow measurement devices.

[0011] The time synchronization unit is used to time-align the water level data and various flow velocity observation data.

[0012] The device status identification unit is used to generate corresponding device status information based on the online status, flow velocity jump status, historical residual status and / or environmental impact status of each external flow measurement device.

[0013] The edge measurement unit is used to determine the fused representative flow velocity based on the time-aligned water level data, flow velocity observation data and equipment status information, determine the cross-sectional average flow velocity based on the fused representative flow velocity and the dynamic flow velocity correction coefficient, and calculate the cross-sectional flow rate based on the water level-area relationship and the cross-sectional average flow velocity.

[0014] The storage unit is used to store water level-area relationship, station configuration parameters, model parameters, historical residual parameters, calibration data, operation logs and calculation results;

[0015] The communication unit is used to upload cross-sectional flow, equipment status information, operation logs and / or alarm information, and to receive remote calibration data, configuration parameters or model parameters;

[0016] The power supply unit is used to supply power to the data access unit, time synchronization unit, device status identification unit, edge measurement unit, storage unit and communication unit.

[0017] As a further technical solution of the present invention, the external flow measurement device includes at least two of the following: contact flow velocity acquisition device, acoustic flow measurement device, radar flow measurement device, video image flow measurement device, and buoy or floating object identification flow measurement device.

[0018] As a further technical solution of the present invention, the time synchronization unit is used to resample, interpolate, align or mark missing measurements of water level data and flow velocity observation data from different sources according to the device timestamp, sampling period, receiving time, data buffer queue and / or preset synchronization time window, so that the water level data and various flow velocity observation data correspond to the same sampling time or the same sampling time window.

[0019] As a further technical solution of the present invention, the equipment status identification unit includes at least one of an online status identification module, a jump identification module, a historical residual calculation module, and an environmental impact identification module;

[0020] The online status recognition module is used to determine whether the external flow measurement device is outputting data normally.

[0021] The jump recognition module is used to identify whether the change in flow velocity observation data at adjacent time points exceeds a set jump threshold.

[0022] The historical residual calculation module is used to calculate the historical residual status of external flow measurement equipment based on historical comparison results, offline calibration results, compiled flow, or recent fusion results.

[0023] The environmental impact identification module is used to identify the impact of rainfall, fog, light, reflection, water surface disturbance, floating object interference and / or image texture quality on flow measurement data.

[0024] As a further technical solution of the present invention, the edge measurement unit includes a multi-source velocity fusion module, a dynamic correction coefficient determination module, and a cross-sectional flow calculation module;

[0025] The multi-source velocity fusion module is used to determine the fusion weights corresponding to various types of velocity observation data based on the equipment status information, and to obtain the fused representative velocity based on the fusion weights and the corresponding velocity observation data or by correcting the representative velocity.

[0026] The dynamic correction coefficient determination module is used to determine the dynamic velocity correction coefficient based on the fusion of representative flow velocity, water level, water level change rate, equipment status information and / or station configuration parameters.

[0027] The cross-sectional flow calculation module is used to calculate the cross-sectional flow based on the water level-area relationship and by integrating the representative flow velocity and the dynamic flow velocity correction coefficient.

[0028] As a further technical solution of the present invention, when any external flow measurement device is offline, the corresponding flow velocity observation data is missing, the corresponding flow velocity observation data undergoes an abnormal jump, the historical residual exceeds the set threshold, or the environmental influence state does not meet the set conditions, the multi-source flow velocity fusion module reduces or sets the fusion weight of the flow velocity observation data corresponding to the external flow measurement device to zero, and normalizes the fusion weights corresponding to the remaining valid flow velocity observation data.

[0029] As a further technical solution of the present invention, the dynamic velocity correction coefficient is used to convert the fused representative velocity into the cross-sectional average velocity, and the dynamic velocity correction coefficient is limited to a preset correction coefficient range.

[0030] As a further technical solution of the present invention, the edge measurement unit further includes an uncertainty assessment module. The uncertainty assessment module is used to output the uncertainty range of the cross-sectional flow rate based on the cross-sectional flow rate, the fused representative flow velocity, the dynamic flow velocity correction coefficient, the equipment status information and / or the historical residual parameters, and to generate the flow result credibility level or manual review prompt based on the uncertainty range and the equipment status information.

[0031] As a further technical solution of the present invention, the edge measurement unit further includes a local calibration and update module, which is used to update historical residual parameters, equipment status identification parameters, multi-source flow velocity fusion parameters, dynamic flow velocity correction coefficient parameters and / or uncertainty assessment parameters according to the manual comparative flow, ADCP flow measurement results, compiled flow, model parameter update file or remote calibration command received by the communication unit.

[0032] As a further technical solution of the present invention, when the communication unit and the remote calibration platform are interrupted, the edge measurement unit continues to calculate the cross-sectional flow based on the water level-area relationship, station configuration parameters, model parameters and historical residual parameters stored in the storage unit, and stores the cross-sectional flow, equipment status information, operation log and / or alarm information generated during the communication interruption in the storage unit.

[0033] A station cross-sectional flow measurement system includes a multi-source flow measurement data processing and station cross-sectional flow edge measurement device as described in any of the above claims, and a remote calibration platform communicatively connected to the device.

[0034] The remote calibration platform is used to receive cross-sectional flow, equipment status information, operation logs and / or alarm information uploaded by the device, and to send manually measured flow, ADCP measurement results, compiled flow, station configuration parameters, calibration instructions or model parameter update files to the device.

[0035] The beneficial effects of this invention are:

[0036] 1. The multi-source flow measurement data processing and site cross-sectional flow edge calculation device of the present invention integrates multi-source data access, time synchronization, equipment status identification, edge calculation, communication and remote calibration update into the site-side device, which can reduce the dependence on real-time calculation by remote server and improve the continuous calculation capability of cross-sectional flow at the measurement station.

[0037] 2. The multi-source flow measurement data processing and station cross-sectional flow edge calculation device of the present invention does not limit the installation method of external flow measurement equipment. Instead, it receives flow velocity observation data output by external flow measurement equipment through a data access unit. It can be compatible with existing contact flow velocity, acoustic flow measurement, radar flow measurement, video image flow measurement or other flow measurement data sources at different stations, thereby reducing on-site modification costs.

[0038] 3. The multi-source flow measurement data processing and station cross-sectional flow edge calculation device of the present invention identifies the online status, jump status, historical residual status and environmental influence status of external flow measurement equipment through the equipment status identification unit, and uses the identification results to dynamically adjust the fusion weight of different flow velocity observation data, which can reduce the impact of abnormal data on the cross-sectional flow calculation results.

[0039] 4. The multi-source flow measurement data processing and station cross-sectional flow edge calculation device of the present invention converts the fused representative flow velocity into the cross-sectional average flow velocity through the dynamic correction coefficient determination module, and calculates the cross-sectional flow rate by combining the water level-area relationship, so that the cross-sectional flow rate calculation conforms to the area method structure in hydrological flow measurement and has good physical interpretability.

[0040] 5. The multi-source flow measurement data processing and station cross-sectional flow edge calculation device of the present invention receives manually measured flow, ADCP flow measurement results, compiled flow or model parameter update files through a local calibration and update module, and updates the local parameters so that the device can be corrected according to changes in station cross-sectional conditions and external flow measurement equipment status.

[0041] 6. The multi-source flow measurement data processing and station cross-sectional flow edge calculation device described in this invention can still perform local calculation and local caching when communication is abnormal, and can retransmit after communication is restored, thereby improving the operational reliability of remote stations, unattended stations and stations with unstable communication. Attached Figure Description

[0042] Figure 1 This is a schematic diagram of the device structure according to Embodiment 1 of the present invention;

[0043] Figure 2 This is a schematic diagram of the device operation process according to Embodiment 1 of the present invention;

[0044] Figure 3 This is a schematic diagram of the site connection in Embodiment 1 of the present invention;

[0045] Figure 4 This is a schematic diagram of device status identification and fusion weight adjustment according to Embodiment 1 of the present invention;

[0046] Figure 5 This is a schematic diagram of remote calibration update according to Embodiment 1 of the present invention;

[0047] Figure 6 This is a schematic diagram of local continuous measurement of communication interruption in Embodiment 2 of the present invention. Detailed Implementation

[0048] Example 1: As Figures 1-6 As shown, a multi-source flow measurement data processing and station cross-sectional flow edge calculation device is disclosed. The device includes a data access unit, a time synchronization unit, an equipment status identification unit, an edge calculation unit, a storage unit, a communication unit, and a power supply unit. Each unit can be integrated within the same station-side equipment, or it can be modularly installed in a station cabinet, outdoor protective box, station building, or riverbank monitoring box, depending on the site deployment conditions.

[0049] In this embodiment, the operation of the device includes:

[0050] Step 1: Receive water level data from the station section and flow velocity observation data output by at least two types of external flow measurement devices through the data access unit;

[0051] Step 2: Time synchronization unit is used to align the water level data and various flow velocity observation data so that the water level data and various flow velocity observation data correspond to the same sampling time or the same sampling time window;

[0052] Step 3: The device status identification unit generates corresponding device status information based on the online status of each external flow measurement device, the flow velocity jump status, the historical residual status, and / or the environmental impact status.

[0053] Step 4: The edge measurement unit determines the fusion weights corresponding to various flow velocity observation data based on the device status information, and obtains the fused representative flow velocity based on the fusion weights and the corresponding flow velocity observation data or by correcting the representative flow velocity.

[0054] Step 5: Determine the dynamic velocity correction coefficient by using the edge measurement unit based on the fused representative flow velocity, water level, water level change rate, equipment status information and / or station configuration parameters;

[0055] Step 6: The water level-area relationship in the storage unit is called through the edge measurement unit. The cross-sectional area is obtained according to the current water level. The cross-sectional flow rate is calculated according to the cross-sectional area, the fused representative flow velocity, and the dynamic flow velocity correction coefficient.

[0056] Step 7: The edge measurement unit generates uncertainty intervals, flow result reliability levels, or manual verification prompts based on cross-sectional flow rate, fused representative flow velocity, dynamic flow velocity correction coefficient, equipment status information, and / or historical residual parameters.

[0057] Step 8: Upload cross-sectional flow, equipment status information, operation logs and / or alarm information through the communication unit, and receive remote calibration data, configuration parameters or model parameters issued by the remote calibration platform;

[0058] Step 9: When the communication unit receives remote calibration data, configuration parameters or model parameters, it updates the historical residual parameters, equipment status identification parameters, multi-source flow velocity fusion parameters, dynamic flow velocity correction coefficient parameters and / or uncertainty assessment parameters through the local calibration update module.

[0059] It should be noted that the above steps are only used to illustrate the cooperative operation process between the functional units in this embodiment, and do not mean that the present invention must be strictly executed in the above order. For example, uncertainty assessment can be performed simultaneously with cross-sectional flow calculation, and communication uploading can be performed after each calculation cycle, or it can be performed in batches at preset time intervals.

[0060] Specifically, the data access unit is used to receive water level data from the station cross-section and flow velocity observation data output by at least two types of external flow measurement devices. Water level data can be output by water level gauges, pressure level sensors, radar water level gauges, or other water level acquisition devices. Flow velocity observation data can come from external flow measurement devices such as contact flow velocity acquisition devices, acoustic flow measurement devices, radar flow measurement devices, video image flow measurement devices, and buoy or floating object identification flow measurement devices.

[0061] It should be noted that the external flow measurement equipment is only used as a data source connected to the device in this embodiment. This embodiment does not limit the installation location, installation angle, fixing structure, or flow measurement principle of the external flow measurement equipment. Therefore, this invention can be adapted to existing flow measurement equipment at different stations, reducing the amount of on-site modification work.

[0062] In one specific implementation, the data access unit may include a wired data interface and / or a wireless data receiving interface. The wired data interface may include one or more of the following: RS485 interface, RS232 interface, Ethernet interface, analog interface, digital interface, or SDI-12 interface; the wireless data receiving interface may include one or more of the following: LoRa, NB-IoT, 4G / 5G, Wi-Fi, or Bluetooth communication interface. The above interface types are only for understanding the specific implementation of this embodiment and do not constitute a limitation on the scope of protection of this invention.

[0063] The time synchronization unit is used to align water level data and various flow velocity observation data in time. Since different external flow measurement devices may have different sampling periods, timestamp formats, and reporting frequencies, without time synchronization, water level data at one moment can be incorrectly combined with flow velocity data at another moment, thus affecting the cross-sectional flow calculation results.

[0064] The time synchronization unit can resample, interpolate, align, or mark missing data for water level data and flow velocity observation data from different sources based on the device timestamp, sampling period, receiving time, data buffer queue, and / or preset synchronization time window, so that water level data and various flow velocity observation data correspond to the same sampling time or the same sampling time window.

[0065] For data that does not arrive within the synchronization time window, the time synchronization unit can mark it as missing, buffer it, or temporarily supplement it using the previous valid data. The specific processing method adopted can be determined based on the station configuration parameters, equipment sampling cycle, or data quality requirements.

[0066] The equipment status identification unit is used to identify the operating status and data reliability of external flow measurement equipment, and to generate equipment status information. This equipment status information is used for subsequent multi-source velocity fusion, determination of dynamic correction coefficients, uncertainty assessment, and alarm notification.

[0067] The equipment status identification unit may include at least one of the following: an online status identification module, a jump identification module, a historical residual calculation module, and an environmental impact identification module.

[0068] The online status identification module is used to determine whether the external flow measurement device is online based on information such as whether the data is reported on time, whether the communication link is normal, and whether the data fields are complete.

[0069] The jump detection module is used to determine whether an abnormal jump has occurred based on the magnitude of change in flow velocity observation data at adjacent time points. For example, when the magnitude of change in a certain flow velocity observation data between adjacent sampling time points exceeds a preset jump threshold, that data can be marked as an abnormal jump.

[0070] The historical residual calculation module is used to calculate the historical residual status of the corresponding external flow measurement equipment based on manually measured flow rates, ADCP flow measurement results, compiled flow rates, recent fusion results, or historical calibration results. If a certain external flow measurement equipment consistently shows large deviations in multiple calibration samples, its data reliability can be reduced.

[0071] The environmental impact identification module is used to identify the effects of factors such as rainfall, fog, illumination, reflection, water surface disturbance, floating debris interference, and / or image texture quality on flow measurement data. For example, video image flow measurement equipment may output low-reliability flow velocity data under low light or strong reflective conditions at night, and radar flow measurement equipment may also be affected under heavy rainfall or strong water surface disturbance.

[0072] In one embodiment, the device status identification unit can generate device status information for each external flow measurement device. The device status information includes one or more of the following: online status identifier, jump status identifier, historical residual score, environmental impact score, and comprehensive reliability score.

[0073] The edge measurement unit is used to complete the determination of fused representative flow velocity, determination of dynamic flow velocity correction coefficient, and calculation of cross-sectional flow rate at the site side. The edge measurement unit can be implemented using industrial controllers, embedded processors, edge computing boards, microprocessors, field-programmable gate arrays, or other hardware with data processing capabilities.

[0074] The edge measurement unit includes a multi-source velocity fusion module, a dynamic correction coefficient determination module, and a cross-sectional flow calculation module.

[0075] The multi-source velocity fusion module is used to determine the fusion weights corresponding to various types of velocity observation data based on the equipment status information, and to obtain the fused representative velocity based on the fusion weights and the corresponding velocity observation data or by correcting the representative velocity.

[0076] In one implementation, the fusion representative flow rate is calculated as follows:

[0077]

[0078] in, For a moment The fusion represents the flow rate. The number of data sources participating in the integration, For the first Class data source at time The fusion weight, For the first The flow rate observation data or corrected representative flow rate corresponding to the data source.

[0079] Each fusion weight satisfies:

[0080]

[0081] When an external flow measurement device goes offline, the corresponding flow velocity observation data is missing, the corresponding flow velocity observation data experiences abnormal jumps, the historical residual exceeds the set threshold, or the environmental influence status does not meet the set conditions, the multi-source flow velocity fusion module reduces or sets the fusion weight of the flow velocity observation data corresponding to that external flow measurement device to zero, and normalizes the fusion weights corresponding to the remaining valid flow velocity observation data.

[0082] It should be noted that the multi-source flow rate fusion module can be implemented using rule-based weighting, lookup table weighting, regression models, expert hybrid models, or neural network models. These methods are all optional implementations used in the edge measurement unit to determine the fusion weights. The focus of this invention is not to limit itself to a specific algorithm structure, but rather to integrate multi-source access, state recognition, flow rate fusion, and edge measurement into a site-side device.

[0083] The dynamic correction coefficient determination module is used to determine the dynamic velocity correction coefficient based on the fused representative velocity, water level, water level change rate, equipment status information, and / or station configuration parameters. Since velocity observation data acquired by different flow measurement devices may correspond to different measuring points, different measuring lines, different water layers, or different surface areas, the fused representative velocity is usually not directly equivalent to the cross-sectional average velocity. Therefore, this invention converts the fused representative velocity into the cross-sectional average velocity using a dynamic velocity correction coefficient.

[0084] In one implementation, the dynamic flow rate correction factor can be limited to a preset correction factor range:

[0085]

[0086] in, The dynamic velocity correction factor at time (t) is... To preset the lower limit of the correction factor, To preset the upper limit of the correction coefficient, For intermediate variables output by the edge measurement unit, This is the Sigmoid function. This formula is only one possible implementation for determining the dynamic correction coefficient; the dynamic velocity correction coefficient can also be determined by looking up tables, piecewise functions, regression models, or other methods.

[0087] The cross-sectional flow calculation module is used to calculate the cross-sectional flow based on the water level-area relationship and by integrating the representative flow velocity and dynamic flow velocity correction coefficient.

[0088] In one implementation, the formula for calculating cross-sectional flow rate is:

[0089]

[0090] in, Let be the cross-sectional flow rate at time (t). To determine based on the current water level The cross-sectional area obtained from the query To represent the flow rate, This is the dynamic flow velocity correction coefficient.

[0091] Therefore, the edge measurement unit in this invention does not necessarily have to directly output the final cross-sectional flow rate from the neural network. Instead, it combines the representative flow velocity, the dynamic flow velocity correction coefficient, and the water level-area relationship to calculate the cross-sectional flow rate according to the area method structure. This method can utilize multi-source flow measurement data while maintaining the physical interpretability of the cross-sectional flow rate calculation process.

[0092] The edge measurement unit may also include an uncertainty assessment module. The uncertainty assessment module is used to output the uncertainty range of the cross-sectional flow rate based on the cross-sectional flow rate, the fused representative velocity, the dynamic velocity correction coefficient, the equipment status information and / or historical residual parameters, and to generate the confidence level of the flow result or a manual review prompt based on the uncertainty range and the equipment status information.

[0093] For example, when the number of effective external flow measurement devices participating in the fusion decreases, the historical residual of a certain device continues to increase, the environmental impact is poor, or the differences between different data sources are too large, the uncertainty assessment module can reduce the reliability level of the flow results and generate alarm information or manual review prompts. The communication unit can upload the alarm information to the remote calibration platform.

[0094] With this setting, the present invention can provide information on the reliability of the output cross-sectional flow results, making it easier for remote platforms or human personnel to determine whether verification is required.

[0095] The edge measurement unit may also include a local calibration and update module. The local calibration and update module is used to update historical residual parameters, equipment status identification parameters, multi-source velocity fusion parameters, dynamic velocity correction coefficient parameters, and / or uncertainty assessment parameters based on manually measured flow, ADCP flow measurement results, compiled flow, model parameter update files, or remote calibration commands received by the communication unit.

[0096] In one embodiment, the communication unit uploads cross-sectional flow rate, equipment status information, operation logs, and / or alarm information to a remote calibration platform. The remote calibration platform can generate calibration data, configuration parameters, or model parameter update files based on manually measured flow rates, ADCP flow measurement results, compiled flow rates, or other standard flow data, and then distribute these to the device of this invention. After receiving the data from the remote calibration platform, the local calibration update module updates its local parameters.

[0097] In one implementation, after the remote calibration platform sends out standard flow data, the local calibration update module can calculate the correction coefficient label based on the standard flow data, the cross-sectional area at the corresponding time, and the fused representative flow velocity.

[0098]

[0099] in, For a moment Correction factor label, For standard traffic data, The cross-sectional area is... The flow rate is represented by the fusion.

[0100] The correction coefficient label can be used to update the locally stored correction coefficient parameters or model parameters. It should be noted that the device of this invention does not require full model training to be performed on the site side. Model training or parameter generation can be completed by a remote calibration platform. The device side mainly performs parameter reception, local updates, and edge measurement.

[0101] The storage unit is used to store water level-area relationships, station configuration parameters, model parameters, historical residual parameters, calibration data, operation logs, and calculation results. The storage unit may include non-volatile memory, a local database, a memory card, solid-state storage, or other local storage media. The specific type of storage media described above does not constitute a core limitation of this invention.

[0102] The communication unit is used to interact with the remote calibration platform, uploading cross-sectional flow, equipment status information, operation logs and / or alarm information, and receiving remote calibration data, configuration parameters or model parameters. The communication unit can be implemented using wired or wireless communication.

[0103] The power supply unit is used to power all the internal units of the device. In practice, the power supply unit can use mains power, solar power, batteries, or a combination thereof. For remote or unattended stations, a combination of solar power and batteries can be used to improve the device's on-site adaptability.

[0104] In one embodiment, the device can be housed within an outdoor protective enclosure. The outdoor protective enclosure may include waterproof terminals, cable inlets, a dustproof structure, a heat dissipation structure, a lightning protection grounding structure, and a maintenance interface. The waterproof terminals are used to connect external water level acquisition equipment and external flow measurement equipment; the lightning protection grounding structure reduces the impact of thunderstorms on the device; the heat dissipation structure ensures stable operation of the edge measurement unit and communication unit in high-temperature environments; and the maintenance interface allows on-site personnel to perform configuration, debugging, or data export.

[0105] In one embodiment, the data access unit may further include an interface isolation circuit for electrically isolating or surge-protecting the data link input from the external flow measurement device, thereby reducing the impact of external line interference on the internal circuitry of the device.

[0106] It should be noted that the shell, protective structure, interface type, power supply method, storage medium and interface isolation structure in this embodiment are all optional implementations of the device of the present invention in field applications, and do not constitute the core limitation of the present invention that distinguishes it from the prior art.

[0107] The working principle of this invention is as follows: The device receives water level data and at least two types of flow velocity observation data at the station. After time synchronization and equipment status identification, it dynamically adjusts the fusion weights of different flow velocity observation data according to the equipment status information to obtain a fused representative flow velocity. Then, it calculates the cross-sectional flow rate by combining the dynamic flow velocity correction coefficient and the water level-area relationship, and realizes the result upload and remote calibration update through the communication unit. Therefore, this invention can improve the continuity, stability and field adaptability of station cross-sectional flow rate measurement without limiting the installation method of external flow measurement equipment.

[0108] Example 2, based on Example 1, such as Figure 6 As shown, this embodiment of the invention provides an improved scheme for local continuous measurement under communication interruption. The difference from Embodiment 1 is that this embodiment further defines the local continuous measurement and data buffering and retransmission process under communication interruption conditions.

[0109] In remote stations, mountainous river channels, or unmanned stations, communication units may experience network interruptions, weak signals, or unavailability of the remote platform. To improve the continuity of station flow data, the device of this invention can continue to calculate local cross-sectional flow based on the water level-area relationship, station configuration parameters, model parameters, and historical residual parameters stored in the storage unit even when communication is abnormal.

[0110] During the communication interruption, the data access unit continues to receive water level data and flow velocity observation data, the time synchronization unit continues to perform time alignment, the equipment status identification unit continues to generate equipment status information, and the edge measurement unit continues to calculate the cross-sectional flow rate. The cross-sectional flow rate, equipment status information, operation logs, and / or alarm information generated during the communication interruption are stored in the storage unit.

[0111] Once communication is restored, the communication unit will retransmit the cached cross-sectional flow, device status information, operation logs, and / or alarm information from the storage unit to the remote calibration platform. The remote calibration platform can also send calibration data, configuration parameters, or model parameter update files to the device after communication is restored, allowing the local calibration update module to update the relevant parameters.

[0112] Through the above improvements, this embodiment can avoid the interruption of station cross-sectional flow measurement due to communication abnormalities, and improve the operational reliability of the hydrological automatic monitoring system in remote stations, unattended stations and stations with unstable communication.

[0113] The specific embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of the present invention.

Claims

1. A device for processing multi-source flow measurement data and calculating the edge of station cross-sectional flow, characterized in that: It includes a data access unit, a time synchronization unit, a device status identification unit, an edge measurement unit, a storage unit, a communication unit, and a power supply unit; The data access unit is used to receive water level data from the station section and flow velocity observation data output by at least two types of external flow measurement devices. The time synchronization unit is used to time-align the water level data and various flow velocity observation data. The device status identification unit is used to generate corresponding device status information based on the online status, flow velocity jump status, historical residual status and / or environmental impact status of each external flow measurement device. The edge measurement unit is used to determine the fused representative flow velocity based on the time-aligned water level data, flow velocity observation data and equipment status information, determine the cross-sectional average flow velocity based on the fused representative flow velocity and the dynamic flow velocity correction coefficient, and calculate the cross-sectional flow rate based on the water level-area relationship and the cross-sectional average flow velocity. The storage unit is used to store water level-area relationship, station configuration parameters, model parameters, historical residual parameters, calibration data, operation logs and calculation results; The communication unit is used to upload cross-sectional flow, equipment status information, operation logs and / or alarm information, and to receive remote calibration data, configuration parameters or model parameters; The power supply unit is used to supply power to the data access unit, time synchronization unit, device status identification unit, edge measurement unit, storage unit and communication unit.

2. The device for processing multi-source flow measurement data and calculating the edge of station cross-sectional flow according to claim 1, characterized in that: The external flow measurement equipment includes at least two of the following: contact flow velocity acquisition equipment, acoustic flow measurement equipment, radar flow measurement equipment, video image flow measurement equipment, and buoy or floating object identification flow measurement equipment.

3. The device for processing multi-source flow measurement data and calculating the edge of station cross-sectional flow according to claim 1, characterized in that: The time synchronization unit is used to resample, interpolate, align, or mark missing measurements for water level data and flow velocity observation data from different sources based on the device timestamp, sampling period, receiving time, data buffer queue, and / or preset synchronization time window, so that the water level data and various types of flow velocity observation data correspond to the same sampling time or the same sampling time window.

4. The device for processing multi-source flow measurement data and calculating the edge of station cross-sectional flow according to claim 1, characterized in that: The equipment status identification unit includes at least one of an online status identification module, a jump identification module, a historical residual calculation module, and an environmental impact identification module. The online status recognition module is used to determine whether the external flow measurement device is outputting data normally. The jump recognition module is used to identify whether the change in flow velocity observation data at adjacent time points exceeds a set jump threshold. The historical residual calculation module is used to calculate the historical residual status of external flow measurement equipment based on historical comparison results, offline calibration results, compiled flow, or recent fusion results. The environmental impact identification module is used to identify the impact of rainfall, fog, light, reflection, water surface disturbance, floating object interference and / or image texture quality on flow measurement data.

5. The device for processing multi-source flow measurement data and calculating the edge of station cross-sectional flow according to claim 1, characterized in that: The edge measurement unit includes a multi-source velocity fusion module, a dynamic correction coefficient determination module, and a cross-sectional flow calculation module. The multi-source velocity fusion module is used to determine the fusion weights corresponding to various types of velocity observation data based on the equipment status information, and to obtain the fused representative velocity based on the fusion weights and the corresponding velocity observation data or by correcting the representative velocity. The dynamic correction coefficient determination module is used to determine the dynamic velocity correction coefficient based on the fusion of representative flow velocity, water level, water level change rate, equipment status information and / or station configuration parameters. The cross-sectional flow calculation module is used to calculate the cross-sectional flow based on the water level-area relationship and by integrating the representative flow velocity and the dynamic flow velocity correction coefficient.

6. The device for processing multi-source flow measurement data and calculating the edge of station cross-sectional flow according to claim 5, characterized in that: When any external flow measurement device goes offline, the corresponding flow velocity observation data is missing, the corresponding flow velocity observation data experiences an abnormal jump, the historical residual exceeds the set threshold, or the environmental influence state does not meet the set conditions, the multi-source flow velocity fusion module reduces or sets the fusion weight of the flow velocity observation data corresponding to the external flow measurement device to zero, and normalizes the fusion weights corresponding to the remaining valid flow velocity observation data.

7. The device for processing multi-source flow measurement data and calculating the edge of station cross-sectional flow according to claim 5, characterized in that: The dynamic velocity correction coefficient is used to convert the fused representative velocity into the cross-sectional average velocity, and the dynamic velocity correction coefficient is limited to a preset correction coefficient range.

8. The device for processing multi-source flow measurement data and calculating the edge of station cross-sectional flow according to claim 1, characterized in that: The edge measurement unit also includes an uncertainty assessment module, which is used to output the uncertainty range of the cross-sectional flow rate based on the cross-sectional flow rate, the fused representative flow velocity, the dynamic flow velocity correction coefficient, the equipment status information and / or the historical residual parameters, and to generate the flow result confidence level or manual review prompt based on the uncertainty range and the equipment status information.

9. The device for processing multi-source flow measurement data and calculating the edge of station cross-sectional flow according to claim 1, characterized in that: The edge measurement unit also includes a local calibration and update module, which is used to update historical residual parameters, equipment status identification parameters, multi-source flow velocity fusion parameters, dynamic flow velocity correction coefficient parameters and / or uncertainty assessment parameters based on the manually measured flow, ADCP flow measurement results, compiled flow, model parameter update files or remote calibration instructions received by the communication unit.

10. The device for processing multi-source flow measurement data and calculating the edge of station cross-sectional flow according to claim 1, characterized in that: When communication between the communication unit and the remote calibration platform is interrupted, the edge measurement unit continues to calculate the cross-sectional flow based on the water level-area relationship, station configuration parameters, model parameters, and historical residual parameters stored in the storage unit, and stores the cross-sectional flow, equipment status information, operation logs, and / or alarm information generated during the communication interruption in the storage unit.

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