A ground-based remote-controlled high-altitude fan coil unit commissioning workstation and its commissioning method

Abstract

This invention belongs to the field of central air conditioning installation and testing technology, specifically relating to a ground-based remote-controlled high-altitude fan coil unit commissioning workstation and its commissioning method. It includes a water supply unit, a quantitative water storage unit, a sensing and detection unit, a water collection and weighing unit, and a control and processing unit. Through the linkage of the water supply unit, the quantitative water storage unit, and the control and processing unit, accurate quantitative water supply is achieved. By coordinating upstream / downstream droplet sensors and the water collection and weighing unit, drainage timing signals and raw weight data are synchronously collected. Combined with a wireless communication synchronization module, timing offset errors from separate data collection are eliminated, constructing a high-precision weight-time dynamic curve. This fully reconstructs the flow regime changes throughout the drainage process, providing multi-dimensional data support for defect identification.

Description

Technical Field

[0001] The invention belongs to the technical field of central air-conditioning installation and testing, and particularly relates to a ground remote control high-altitude fan coil unit commissioning workstation and a commissioning method thereof. Background Technique

[0002] In the completion acceptance stage of newly built buildings, the construction quality of the condensate drainage pipeline supporting the fan coil unit is the key detection content. If there are construction defects such as complete blockage, semi-blockage by debris, insufficient installation slope, necking of joints or flattening of the pipeline, it will cause poor condensate drainage and residual water in the pipeline. Long-term use is likely to cause pipeline scaling, leakage, equipment corrosion and other failures, seriously affecting the reliability of the fan coil unit. Therefore, carrying out special inspections on the condensate drainage fluency and pipeline construction defects is an essential link before the building is delivered.

[0003] At present, there are already many special detection devices for fan coil units on the market. Among them, the Chinese utility model patent CN214041226U discloses a fan coil unit test device. The detection target of this device focuses on the heat and cold exchange performance of the fan coil unit, and does not monitor the whole process of condensate drainage. There are also no detection structures related to drainage time sequence and drainage weight, and it cannot identify drainage construction and installation defects such as pipeline blockage, abnormal slope, and necking of joints, so it is not applicable to the condensate drainage acceptance scenario.

[0004] In addition to the above special detection devices, at present, manual visual observation is still commonly used on-site in newly built buildings to detect the drainage state of fan coil units. Manual detection highly depends on the subjective experience of operators, and the detection results lack quantitative data support, with poor accuracy. At the same time, most fan coil units are installed in the high-altitude ceiling area indoors, and manual climbing operations pose great safety hazards. Summary of the Invention

[0005] Aiming at the above technical problems, one object of the invention is to provide a ground remote control high-altitude fan coil unit commissioning workstation, which can be operated on the ground and realize the identification and determination of construction defects; another object of the invention is to provide a commissioning method for the commissioning workstation.

[0006] In order to solve the above technical problems, the technical solution adopted by the invention is as follows: A ground remote control high-altitude fan coil unit commissioning workstation includes a water supply unit, a quantitative water storage unit, a sensing detection unit, a water collection and weighing unit, and a control and processing unit; The water supply unit includes a water tank and a water pump. The water inlet end of the water pump is connected to the water tank, and the water outlet end is connected to the quantitative water storage unit; The quantitative water storage unit includes a water filling tank and a liquid level detection component. The water filling tank is connected to a drain pipe, and a control valve is provided at the connection between the water filling tank and the drain pipe. The water filling tank is equipped with a liquid level detection component for detecting the internal water level. The water collection and weighing unit includes an electronic scale, a water collection bucket, and a fixed pipe. The water collection bucket is placed above the electronic scale, and an electric drain valve is provided at the bottom of the water collection bucket. The fixed pipe is located above the water collection bucket and is connected to the end of the fan coil unit drain pipe. The sensing and detection unit includes an upstream droplet sensor and a downstream droplet sensor. The two sensors share a unified system clock. The upstream droplet sensor is deployed at the location of the drainage pipe, and the downstream droplet sensor is deployed at the end of the fixed pipe to collect drainage timing signals. The control and processing unit calculates and constructs a weight-time dynamic curve and extracts drainage characteristic parameters based on the time-series signals collected by the upstream and downstream droplet sensors and the raw weight data collected by the electronic scale. Combined with the pre-stored unit type benchmark parameters, it completes the identification and judgment of construction defects.

[0007] It also includes a mobile vehicle body, on which a telescopic rod is provided, and the quantitative water storage unit is installed on the telescopic rod; the water supply unit is installed on the mobile vehicle body; the bottom of the water filling tank has a sloping structure, and the drain pipe has an L-shaped pipe structure.

[0008] The water collection and weighing unit also includes a support frame and a fixing ring; the lower end of the support frame is fixedly connected to the base of the electronic scale, and the upper end of the support frame is fixedly connected to the fixing pipe; the fixing ring is sleeved on the outside of the water collection tank and connected to the support frame to limit and fix the water collection tank.

[0009] The water collection tank is equipped with a guide plate, and the upper opening of the water collection tank is a flared horn structure; the fixing ring is equipped with a connecting ear that slides with the support frame, and the connecting ear is threaded with a fixing screw for positioning and locking; the fixing tube is equipped with an adjustment opening, and a pair of ear plates are symmetrically arranged at the opening, and the pair of ear plates are connected by an adjustment bolt.

[0010] The control processing unit includes a wireless communication synchronization module, a data preprocessing module, and a construction defect diagnosis module. The three modules work together in a sequential manner to complete timing calibration, data modeling, and defect determination. The wireless communication synchronization module receives the raw weighing data collected by the water collection and weighing unit and the timing signal collected by the downstream droplet sensor. It combines the timing signal of the upstream droplet sensor on the high-position side to complete the unified clock alignment operation, eliminate the timing offset caused by independent collection from multiple positions, and output standardized collection data with unified timing. The data preprocessing module receives upstream and downstream droplet sensor time-series signals and raw weight data of electronic scale based on the calibrated standardized time-series data, calculates and fits to construct a weight-time dynamic curve, and extracts five-dimensional core drainage feature parameters based on the curve segment analysis: total drainage volume, total drainage duration, drainage rate fluctuation coefficient, terminal wake tail duration, and average rate of the stable section, and outputs standardized feature data. The construction defect diagnosis module receives the weight-time dynamic curve and five-dimensional core feature parameters output by the data preprocessing module, and performs multi-parameter coupling judgment in combination with the preset benchmark threshold of the corresponding house type to accurately distinguish four types of fan coil unit construction and installation defects.

[0011] The specific judgment logic of the construction defect diagnosis module includes: Complete blockage defect: If no timing trigger signal from the upstream and downstream droplet sensors is detected within the preset detection time range, and the electronic scale has no weight increment data, it is determined that the pipeline is completely blocked or the outlet protective film is not torn off. Construction debris partial blockage defect: The total drainage volume parameter is lower than the benchmark threshold of the unit type, the total drainage time parameter is higher than the benchmark threshold of the unit type, and the drainage rate fluctuation coefficient exceeds the preset benchmark fluctuation range. It is determined that there is intermittent partial blockage caused by construction debris left inside the pipe. Insufficient pipe slope or reverse defect: The total drainage parameters are within the normal range of the unit type benchmark, and the average rate of the stable section meets the benchmark requirements. Only the tail length of the tail flow at the end exceeds the preset benchmark threshold of the unit type. It is determined that the residual water tail is caused by insufficient pipe installation slope or reverse pipe. Joint necking or pipe flattening defects: The total drainage volume parameters are normal and the tail flow duration at the end is normal. However, the total drainage duration is slightly excessive and the average rate of the stable section is consistently lower than the preset benchmark threshold for the house type. This is determined to be a construction defect of pipe joint necking or local flattening of the pipe.

[0012] The control processing unit also includes a unit type adaptive matching module; The adaptive matching module for apartment types pre-stores the mapping relationship between building, floor, apartment type, and unit number, as well as the drainage benchmark threshold parameters corresponding to each apartment type. After receiving the unit encoding signal, it automatically matches the detection benchmark parameters and test sequence of the corresponding apartment type. When the number of qualified samples and data dispersion of the same apartment type meet the preset conditions, the adaptive matching module for apartment types statically iteratively optimizes the benchmark parameters based on the construction error of the newly built unit, and marks the unit test status to achieve batch orderly testing.

[0013] The control processing unit also includes a batch residual water calibration module and a sensor error-proof verification module; The batch residual water calibration module receives the test completion trigger signal and the real-time weight signal of the electronic scale. After the test, it outputs a control command to open the electric drain valve of the water collection tank to empty the accumulated water. When the change in the detected weight value is less than the steady-state threshold for a continuous preset time, the water accumulation is determined to be in a steady state and the electronic scale is automatically zeroed. If the zero point offset exceeds the preset threshold after the steady state, an abnormal signal is output. At the same time, it can adaptively trigger a secondary emptying calibration for small-displacement units to eliminate the cumulative error of batch testing. Before testing, the sensor error-proof verification module outputs a short-time ball valve opening command to verify the effectiveness of the upstream droplet sensor. If an abnormality is found, the test process is locked. During the test, the timing intervals of the upstream and downstream droplet sensors and the weight changes of the electronic scale are monitored in real time to identify pipeline blockage faults and downstream droplet sensor failure faults. When the downstream droplet sensor signal is abnormal, the parameter calculation is completed by replacing the timing signal with the initial rise time of the electronic scale weight curve, so as to realize the test process degradation and continuation test and ensure the continuity of batch testing.

[0014] It also includes a voice alarm module, and the control processing unit further includes a batch data archiving module; The batch data archiving module binds and stores sensor time-series parameters, electronic scale raw data, weight-time dynamic curves, drainage characteristic parameters, defect judgment results, and unit codes, apartment types, and test time information; it statistically analyzes test pass rates and defect distribution by building and apartment type, automatically generates completion inspection reports, and supports multi-format data export, enabling traceable archiving of test data. The voice alarm module receives four types of abnormal signals: equipment malfunction, calibration abnormality, operating condition abnormality, and construction defect. It then executes differentiated voice broadcasts to alert on-site personnel to abnormal operating conditions.

[0015] The debugging method includes the following steps: S1 device self-test and parameter matching: completes wireless timing synchronization calibration, scans and identifies unit code, automatically matches the detection benchmark parameters of the corresponding unit type, and completes sensor pre-self-test; S2 quantitative water injection: The water pump injects water into the water tank, the liquid level detection component detects the water level, and the water pump is shut off after the water level reaches the standard. S3 Data Acquisition and Curve Construction: When the electric ball valve is opened to release water, the upstream and downstream droplet sensors collect the drainage timing signals, the electronic scale collects the raw data of the drainage weight and uploads it to the control processing unit, and the data preprocessing module calculates and generates a weight-time dynamic curve and extracts the five-dimensional core feature parameters. S4 signal interlocking and fault tolerance: Real-time comparison of sensor timing signals and weight data to identify pipe blockage or sensor malfunction. When a sensor malfunctions, the downgrade calculation logic is activated to complete the data calculation. S5 Construction Defect Coupling Judgment: The weight-time dynamic curve is segmented and feature-analyzed to extract five-dimensional core feature parameters. Based on the new unit's no-aging and no-scaling conditions, multi-parameter coupling judgment logic is used to accurately distinguish four types of construction defects: complete blockage, partial blockage by debris, abnormal pipe slope, and joint necking. It can identify minor construction and installation flaws and trigger corresponding voice warning prompts when abnormal conditions are detected. S6 Batch Closed-Loop Calibration: After the test is completed, the water collection tank is automatically emptied and the electronic scale is calibrated at zero point after the steady state is reached. If the abnormality exceeds the standard, manual verification will be prompted. S7 Data Iteration and Archiving: After qualified samples of the same type of housing meet the standards, statically optimize the benchmark parameters, bind unit information and test time information to store the full amount of test data, and automatically generate and archive batch completion inspection reports.

[0016] Compared with the prior art, the beneficial effects of this invention are: By linking the water supply unit, the quantitative water storage unit, and the control and processing unit, accurate quantitative water supply is achieved. Through the collaboration of upstream / downstream droplet sensors and the water collection and weighing unit, drainage timing signals and raw weight data are collected synchronously. With the help of the wireless communication synchronization module, the timing offset error of separate acquisition is eliminated, and a high-precision weight-time dynamic curve is constructed to completely restore the flow regime changes throughout the drainage process, providing multi-dimensional data support for defect judgment.

[0017] The five-dimensional core drainage characteristic parameters extracted by the data preprocessing module, combined with the exclusive judgment logic of the construction defect diagnosis module, can accurately distinguish four typical construction defects: complete blockage, partial blockage by construction debris, insufficient / reverse pipe slope, and joint necking / pipe flattening.

[0018] The combination of the mobile vehicle body and the telescopic pole enables ground control and high-altitude pipeline connection, eliminating the need for manual climbing operations. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the principle of the present invention; Figure 2 This is a schematic diagram of the structure of the present invention; Figure 3 This is a schematic diagram of the structure of the mobile vehicle body of the present invention; Figure 4 yes Figure 3 A magnified view of a section at point A in the middle; Figure 5 This is a schematic diagram of the structure of the water collection and weighing unit of the present invention; Figure 6 This is a cross-sectional view of the water collection and weighing unit of the present invention; The components are as follows: 1 is the water supply unit, 10 is the water tank, 2 is the quantitative water storage unit, 20 is the water filling chamber, 21 is the liquid level detection component, 22 is the drain pipe, 23 is the control valve, 3 is the sensor unit, 30 is the upstream droplet sensor, 31 is the downstream droplet sensor, 4 is the water collection and weighing unit, 40 is the electronic scale, 41 is the water collection bucket, 42 is the fixed pipe, 43 is the support frame, 44 is the fixing ring, 45 is the guide plate, 46 is the connecting ear, 47 is the fixing screw, 48 is the ear plate, 49 is the adjusting bolt, 410 is the electric drain valve, 5 is the control box, 50 is the control processing unit, 6 is the mobile vehicle body, and 7 is the telescopic rod. Detailed Implementation

[0020] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0021] Example 1

[0022] like Figure 1 and Figure 2 As shown, a ground-based remote-controlled high-altitude fan coil unit commissioning workstation includes a water supply unit 1, a quantitative water storage unit 2, a sensing and detection unit, a water collection and weighing unit 4, and a control and processing unit 50.

[0023] The water supply unit 1 mainly consists of a water tank 10 and a water pump (not shown in the figure). The water pump's inlet is connected to the water tank 10, and its outlet is connected to the quantitative water storage unit 2. The water pump stably delivers the test water from the water tank 10 to the quantitative water storage unit 2, providing a continuous and stable water supply for simulating the condensate drainage conditions of fan coil units. Compared to manual water pouring or temporary water injection methods, the automated water supply achieved through active water pumping avoids the problem of uneven water volume caused by manual injection, ensuring consistent water supply conditions for each test.

[0024] like Figure 3 and Figure 4 As shown, the quantitative water storage unit 2 mainly consists of a water filling tank 20, a liquid level detection component 21, and a control valve 23. The water to be tested is stored in the water filling tank 20, and the liquid level detection component 21 collects the water level signal inside the water filling tank 20 in real time to provide real-time feedback on the water storage status. A control valve 23 is installed at the connection between the water filling tank 20 and the drain pipe 22. The opening and closing of the control valve 23 precisely controls the timing of water storage and water discharge from the pipeline.

[0025] In actual operation, water supply unit 1 continuously injects water into water tank 20, and liquid level detection component 21 monitors the water level in real time. When the water level reaches the preset standard height, the water supply is shut off and the water volume is locked, achieving accurate quantitative measurement of water volume in a single test. When the test is started, control valve 23 is opened, and a fixed amount of water flows into the fan coil unit pipeline at a uniform speed, realistically simulating the normal condensate drainage conditions of the unit. This structure completely solves the problems of traditional testing lacking quantitative standards and random water volume in each test, ensuring that the testing conditions of different floors, different apartment types, and multiple units are completely consistent, effectively improving the data comparability and testing accuracy of batch tests.

[0026] like Figure 5 and Figure 6 As shown, the water collection and weighing unit 4 consists of an electronic scale 40, a water collection tank 41, and a fixed pipe 42. The fixed pipe 42 connects to the end of the fan coil unit's drain pipe 22, accurately guiding all the water discharged by the unit into the water collection tank 41 below, ensuring no leakage or spillage during drainage. The water collection tank 41 is placed on the platform of the electronic scale 40, which continuously collects the raw data of weight changes throughout the drainage process in real time, completely recording the weight increment of the water over time. The drain valve at the bottom of the water collection tank 41 can empty the accumulated water after a single test, enabling the equipment to be reused.

[0027] The sensing and detection unit is used to capture the temporal characteristics of the entire drainage process, providing a time dimension benchmark for data modeling. It consists of an upstream droplet sensor 30 and a downstream droplet sensor 31, with both sensors sharing a unified system clock. The working principle is as follows: the upstream droplet sensor 30 is positioned at the drainage pipe 22 to capture the initial water flow trigger signal and record the start time of drainage; the downstream droplet sensor 31 is positioned at the end of the fixed pipe 42 to capture the timing signals of water flow start and stop and water flow fluctuations at the end of the drainage process. The two sensors work synchronously based on a unified system clock, eliminating timing deviations caused by independent timing and forming a high-precision, matchable timing data chain. This structure solves the shortcomings of traditional detection methods that lack precise timing references and rely solely on visual judgment of drainage status. Through dual-point timing acquisition, it accurately records timing characteristics such as drainage start and stop, water flow speed, and wake residue, providing accurate time dimension data support for subsequent dynamic curve construction and subtle defect identification.

[0028] During equipment operation, the control processing unit 50 synchronously receives drainage timing signals collected by upstream and downstream droplet sensors 31, as well as raw drainage weight data uploaded in real time by the electronic scale 40. Based on the fusion calculation of timing and weight data, a weight-time dynamic curve that accurately reflects the drainage status is fitted and constructed, and core drainage characteristic parameters such as drainage volume, drainage duration, and drainage rate are automatically extracted from the curve. At the same time, the control processing unit 50 pre-stores standard reference parameters for fan coil units of different apartment types, and compares and couples the feature parameters extracted in real time with the preset reference parameters to accurately identify various construction and installation defects in the fan coil unit piping.

[0029] Compared to the traditional testing mode that relies on manual visual observation and experience-based judgment, this method achieves quantitative testing and intelligent judgment through data modeling and parameter comparison, adapting to the standardized and compliant testing needs of batch completion acceptance of newly built buildings.

[0030] During operation, water supply unit 1 provides stable water delivery, while quantitative water storage unit 2 ensures precise and quantitative water storage, guaranteeing consistent testing conditions. Water then flows through the fan coil unit under test, simulating real drainage conditions. The sensing and weighing unit 4 simultaneously collects raw data in both time and weight dimensions. Finally, the control and processing unit 50 completes data modeling, feature extraction, and defect identification. After each test, the accumulated water is automatically drained, and the equipment is reset for the next test. The overall structure is simple, adaptable to high-altitude pipelines on construction sites, and can be remotely controlled from the ground. It eliminates the need for manual inspection at heights, balancing testing safety, batch testing efficiency, and testing accuracy. It specifically addresses industry pain points such as the high concealment of defects in fan coil unit construction in newly built buildings, the difficulty of batch acceptance, and the lack of quantifiable standards for manual inspection.

[0031] Furthermore, such as Figure 2 As shown, it also includes a mobile vehicle body 6, on which the water supply unit 1 is fixedly installed and moves synchronously with the vehicle body. Specifically, a control box 5 is fixed on the mobile vehicle body 6, and the control processing unit 50 is located inside the control box 5.

[0032] A telescopic rod 7 is vertically mounted on the mobile vehicle body 6. The quantitative water storage unit 2 is mounted and fixed on the top of the telescopic rod 7. Through the electric lifting and adjustment of the telescopic rod 7, it can precisely adapt to fan coil unit pipelines with different floor heights and ceiling installation heights, achieving ground control and high-altitude alignment, eliminating the need for manual climbing operations. Specifically, it is powered by an external power source or a battery as needed. Two batteries are provided, one located on the mobile vehicle body 6 and the other at the water collection and weighing unit 4.

[0033] Furthermore, such as Figure 4 As shown, the bottom of the water filling chamber 20 of the quantitative water storage unit 2 adopts a sloping structure design, and the drain pipe 22 adopts an L-shaped bend pipe structure. The sloping bottom structure can effectively reduce or avoid the residual water in the chamber when detecting water discharge.

[0034] Furthermore, such as Figure 5 As shown, the water collection and weighing unit 4 also includes a support frame 43 and a fixing ring 44. The lower end of the support frame 43 is fixed to the base of the electronic scale 40, rather than the weighing platform, to avoid the support structure from interfering with the weighing data of the electronic scale 40. The upper end of the support frame 43 is fixedly connected to the fixing pipe 42. The fixing ring 44 is movably sleeved on the outside of the water collection tank 41 and fixedly connected to the support frame 43, and the water collection tank 41 is positioned and constrained by the annular surrounding limiting structure.

[0035] Furthermore, such as Figure 6 As shown, the water collection tank 41 has an inclined plate inside, which, together with the flared opening at the top, expands the drainage catchment area and effectively prevents water spillage. The inclined plate ensures the water is completely drained, reducing residue.

[0036] The retaining ring 44 forms a sliding fit with the support frame 43 via a connecting ear 46 with a retaining screw 47. The connecting ear 46 can slide freely vertically along the support frame 43, allowing its height to be adjusted. The connecting ear 46 has a passage for engaging the retaining screw 47, allowing the end of the retaining screw 47 to pass through the connecting ear 46 and abut against the support frame 43, thus restricting movement. When it is necessary to remove the water collection tank 41, loosen the retaining screw 47 and move the retaining ring 44 to a position higher than the water collection tank 41, releasing the restriction on the water collection tank 41.

[0037] The fixed pipe 42 has an adjustment opening, and a pair of ear plates 48 are symmetrically arranged at the opening. An adjustment bolt 49 is installed between the pair of ear plates 48. The opening and closing diameter of the fixed pipe 42 can be finely adjusted by turning the adjustment bolt 49, which is used to clamp and fix the fan coil unit drain pipe 22, so as to realize the fixed connection between the fixed pipe 42 and the fan coil unit drain pipe 22.

[0038] Furthermore, the control processing unit 50's built-in wireless communication synchronization module, data preprocessing module, and construction defect diagnosis module form a fixed, progressive work link of pre-calibration, mid-level modeling, and post-judgment. Specifically, the wireless communication synchronization module is the bottom-level basic calibration unit, responsible for eliminating timing deviations in data collected independently from multiple locations; the data preprocessing module is the mid-level data modeling unit, responsible for curve fitting and feature quantification extraction based on calibrated standard time-series data; and the construction defect diagnosis module is the top-level intelligent judgment unit, responsible for identifying multi-parameter coupled defects based on standardized data features. These three modules output standardized data at each level, providing complete technical support for fully automated quantitative detection.

[0039] The wireless communication synchronization module continuously receives the raw drainage weighing data collected by the water collection and weighing unit 4 and the drainage timing signal collected by the downstream droplet sensor 31 in real time. At the same time, it synchronously retrieves the timing signal collected by the upstream droplet sensor 30 on the high-level side and performs unified clock alignment calculation on the asynchronous data collected from multiple positions and multiple channels.

[0040] The data preprocessing module synchronously receives the time-series signals from the upstream and downstream droplet sensors 31 (after time-series calibration) and the raw weight data from the electronic scale 40. Based on the time-weight correspondence, it performs full-domain data fitting calculations, continuously fitting to generate a complete weight-time dynamic curve, fully reproducing the dynamic weight change pattern throughout the drainage process. Simultaneously, the module performs segmented analysis on the generated weight-time dynamic curve, distinguishing between the stable drainage section and the residual tail section at the end. It accurately extracts five core drainage characteristic parameters: total drainage volume, total drainage duration, drainage rate fluctuation coefficient, tail duration at the end, and average rate of the stable section. These multi-dimensional characteristic parameters are then integrated into a standardized feature dataset for output. This module overcomes the shortcomings of traditional detection methods, which only collect single data points, lack dynamic curve modeling, and fail to quantify multi-dimensional features. It transforms qualitative observation into precise quantitative data, providing standardized, high-dimensional data support for subsequent refined defect coupling judgment.

[0041] The construction defect diagnosis module performs judgment based on the standardized curves and multi-dimensional feature parameters output by the data preprocessing module. The module internally stores drainage baseline threshold parameters corresponding to different apartment types of fan coil units. These baseline threshold parameters are not fixed universal values, but rather specific to each apartment type's new fan coil units. They are generated through batch testing of sufficient standard qualified unit samples free of construction defects and equipment aging / scaling, collecting complete weight-time dynamic curves and five-dimensional feature parameters under compliant drainage conditions. After data filtering, dispersion removal, mean fitting, and error calibration, iteratively generated apartment-specific standard parameters are obtained. These parameters can be continuously fine-tuned and optimized based on batch testing of qualified samples, and are only suitable for judging construction errors in newly built units.

[0042] After receiving the weight-time dynamic curve and five-dimensional core feature parameters, the module employs multi-parameter coupled comparison logic to perform layered and differentiated matching and judgment between the measured multi-dimensional feature data and the preset benchmark thresholds for the apartment type, accurately distinguishing different types of hidden construction and installation defects. Compared to the traditional single-parameter comparison method that can only judge whether something is unobstructed or blocked, this module, through multi-dimensional feature coupled judgment logic, can accurately identify subtle construction flaws that are indistinguishable to humans, achieving precise classification and identification of defect types.

[0043] After the detection work is started, the wireless communication synchronization module first completes the time sequence uniform calibration of the multi-channel acquired data to eliminate the deviation of the separately acquired data; then the data preprocessing module completes curve fitting and five-dimensional feature parameter extraction based on the time sequence standard data to realize the standardized modeling of the raw data; finally, the construction defect diagnosis module completes the multi-parameter coupled defect judgment and outputs the construction defect detection results.

[0044] Furthermore, the specific judgment logic of the construction defect diagnosis module includes: Complete blockage defects correspond to severe construction problems where pipelines are completely blocked and water cannot flow. These are often caused by construction debris completely clogging the pipes or the unit's original protective film not being removed, issues specific to newly constructed projects. The specific determination mechanism is as follows: within the equipment's preset standard detection time range, the system receives no timing trigger signals from the upstream droplet sensor 30 and downstream droplet sensor 31 throughout the entire process, and the electronic scale 40 generates no weight increment data. This combination of parameters indicates that the standard detection water released from the quantitative water storage unit 2 cannot enter or pass through the fan coil unit pipeline, and no water flows out to the water collection and weighing unit 4, thus accurately determining that the pipeline is completely blocked. This determination method relies on dual interlocking verification of timing signals and weight data, eliminating the problem of misjudgment based on a single signal, accurately identifying complete blockage construction defects, and is suitable for quickly troubleshooting construction-related issues such as uncleared pipelines and incomplete removal of protective materials in newly constructed units.

[0045] Construction debris partial blockage is a high-frequency, hidden construction defect in newly built units. It is mainly caused by debris left over from construction adhering to and becoming stuck inside the pipes, resulting in intermittent pipe closures and poor drainage. The specific judgment logic is as follows: the measured total drainage volume is significantly lower than the preset benchmark threshold for the corresponding unit type; the measured total drainage time is higher than the preset benchmark threshold for the unit type; and the drainage rate fluctuation coefficient exceeds the benchmark fluctuation range for the unit type. These three parameters simultaneously anomaly form a unique characteristic combination, indicating insufficient total water flow in the pipes, prolonged drainage time, fluctuating water flow rate, and extremely unstable operating conditions. This distinguishes it from stable blockage and normal drainage conditions, and can be accurately identified as an intermittent partial blockage defect caused by construction debris.

[0046] Insufficient pipe slope or reverse pipe installation are typical installation defects. While they won't cause blockages, they can lead to residual water that cannot drain naturally, fostering bacterial growth and causing subsequent scaling and leaks. This is a key inspection item for newly built buildings. Its specific parameter characteristics are: the measured total drainage volume is within the normal range of the unit's benchmark, the average velocity in the stable section meets the benchmark requirements, and only the tailing duration at the end is significantly longer than the unit's preset benchmark threshold. These parameter characteristics indicate that the overall pipe flow is smooth, the drainage flow and velocity are normal, and there are no blockages or necking issues. Only the drainage end exhibits prolonged slow dripping and residual water tailing, perfectly matching the residual water accumulation caused by insufficient pipe slope or reverse pipe installation.

[0047] Joint necking and pipe flattening are construction defects that occur during pipe splicing and installation. These defects are highly concealed and cannot be detected by conventional water flow observation. They only cause a slight decrease in drainage velocity and a slight increase in drainage time, without any obvious abnormal drainage volume. Specific characteristics include: the measured total drainage volume and the tailing time of the terminal flow are both within the normal range of the unit type, with only a slightly excessive total drainage time, and the average velocity in the stable section consistently below the unit type's preset threshold. This combination of characteristics indicates that the pipe flow is unobstructed and without water accumulation; only the effective water-passing cross-section of the pipe is passively reduced, resulting in a slow and uniform release of water with a decreased flow velocity. This corresponds to construction defects such as pipe joint heat fusion necking and pipe flattening caused by installation compression.

[0048] The above-mentioned judgment logic adopts a unique judgment mechanism with multi-parameter differential coupling and non-overlapping defect features. Each type of construction defect corresponds to a unique abnormal combination of parameters, avoiding the problem of confusion in the judgment of different defect types.

[0049] Furthermore, the control processing unit 50 also includes a unit type adaptive matching module. This module is the core adaptation unit for the equipment to adapt to standardized batch testing of multiple unit types and multiple units, and works in conjunction with the aforementioned wireless communication synchronization module, data preprocessing module, and construction defect diagnosis module. Addressing the technical shortcomings of traditional fan coil unit testing, which uses uniform and universal benchmark parameters without distinguishing between unit type and piping differences, easily leading to misjudgments of large units, omissions of small units, and inconsistent batch testing standards, this module achieves differentiated and accurate testing of different unit types through closed-loop logic of pre-storing unit type parameters, automatic code matching, iterative optimization of qualified samples, and unit status marking. It is specifically adapted to the scenario of simultaneous acceptance of multiple unit types, multiple buildings, and large batches of fan coil units in newly built residential buildings.

[0050] The adaptive matching module pre-establishes and stores a database of one-to-one mapping relationships between buildings, floors, apartment types, and unit numbers. It also stores specific drainage baseline threshold parameters for each apartment type's fan coil unit. These baseline parameters are exclusive standard data generated from batch testing, mean fitting, and error calibration of new, qualified units for the corresponding apartment type. Different apartment types have independent baseline thresholds for total drainage volume, drainage duration, drainage rate fluctuation coefficient, and wake tail duration. Unlike traditional equipment with a single, universal testing standard, this module uses a categorized storage method for apartment types to achieve independent parameter adaptation for different pipe specifications and installation designs. This eliminates detection errors caused by differences in apartment structure at the benchmark level, providing accurate and specific benchmarks for subsequent multi-parameter coupled defect determination.

[0051] During actual testing, the equipment identifies the unique unit code of the unit under test by scanning a code or manually entering the information. After receiving the unit code signal, the unit type adaptive matching module retrieves the internal preset mapping database to quickly search for and match the building, floor, and unit type information of the unit. It automatically retrieves the complete set of drainage benchmark threshold parameters and standardized test sequences for the corresponding unit type, eliminating the need for manual parameter switching or testing standard adjustment. The entire process achieves automated linkage between unit identification, parameter matching, and test mode switching, avoiding problems such as manual parameter adjustment errors and mixed use of standards, and significantly improving the testing efficiency of single units and the standardization of batch testing of multiple units.

[0052] The module features adaptive iterative optimization of unit type benchmark parameters, with optimization logic specifically designed to adapt to installation errors in newly built units. The module continuously counts the number of qualified unit samples of the same unit type that have been tested, and simultaneously monitors the dispersion of drainage characteristic parameters for these qualified samples. When the number of qualified samples of the same unit type reaches a system-preset threshold, and the dispersion of the five-dimensional characteristic parameters of all qualified samples is less than the preset dispersion threshold, the current sample data is deemed statistically reliable. Based on this batch of compliant sample data, the module performs mean fitting and error correction, statically iteratively optimizing and updating the benchmark threshold parameters for the corresponding unit type. This slightly corrects for minor, systemic installation errors caused by batch construction in new buildings, making the testing benchmark more closely match actual on-site construction conditions and continuously improving the testing accuracy of subsequent units of the same unit type.

[0053] During batch testing, the unit type adaptive matching module marks the testing status of each unit in real time, specifically including four statuses: pending testing, tested, qualified, and unqualified. The status information is uniquely bound to the unit code and unit type information. Through this status marking mechanism, the testing progress of all fan coil units across the entire building, different floors, and different unit types can be managed systematically. It automatically records units that have completed testing and those that have not, completely eliminating issues of missed, repeated, or incorrect testing during batch acceptance, and achieving streamlined, orderly, and traceable testing of large batches of units.

[0054] This module addresses industry pain points such as the inability of traditional general testing standards to adapt to fan coil units of various apartment types, low testing accuracy, and chaotic batch management through a combination of apartment type-specific parameter adaptation, sample adaptive iterative optimization, and intelligent batch status management. On one hand, relying on apartment type-specific benchmark parameters and matching the multi-parameter coupled judgment logic of the construction defect diagnosis module, it significantly improves the identification accuracy of subtle construction defects. On the other hand, through automated parameter matching and status marking, it adapts to the operational needs of batch completion acceptance of newly built buildings, balancing testing accuracy and batch testing efficiency, and providing standardized, quantitative, and traceable testing support for building project quality acceptance.

[0055] Furthermore, the control processing unit 50 also includes a batch residual water calibration module and a sensor foolproof verification module.

[0056] The batch residual water calibration module is used to automatically drain residual water and reset the zero point of the electronic scale 40 after each test, eliminating the accumulated errors of residual water and zero-point drift caused by multiple tests, and ensuring the consistency of the benchmark for batch testing. After a single fan coil unit drainage test is completed, the module actively receives the system test completion trigger signal and continuously collects the weight monitoring data of the electronic scale 40 in real time, capturing the residual water status inside the water collection tank 41. The module then outputs a control signal to automatically open the electric drain valve 410 at the bottom of the water collection tank 41 to drain the residual water inside. During the water drainage process, the module continuously monitors the change in the weight value of the electronic scale 40. When the change in the weight value within a preset time period is less than a preset steady-state threshold, it determines that the water inside the water collection tank 41 is completely drained and the weighing condition has reached a steady state. Then, it automatically completes the zero-point calibration of the electronic scale 40 to reset the accurate weighing benchmark for the next test.

[0057] The module also features an adaptive secondary drainage calibration mechanism. For small-capacity residential units where single drainage leaves little residue, water easily adheres to the walls, and conventional drainage is insufficient for complete zeroing, it can adaptively trigger a second, short-term drainage action to thoroughly remove residual water. If, after steady-state zeroing, the zero-point offset of the electronic scale still exceeds the system's preset allowable threshold, the module determines the weighing benchmark is abnormal and outputs an abnormal signal, prompting manual verification and calibration. This module fundamentally solves the problems of residual water accumulation, continuous zero-point drift, and the gradual accumulation of batch errors in traditional continuous testing. It ensures a completely uniform weighing benchmark for each unit, achieving error-free continuous batch testing and effectively improving data consistency and testing reliability during batch acceptance.

[0058] The sensor error-proof verification module is a full-process fault self-checking and anomaly-tolerant retesting unit for the equipment. It covers the entire process of pre-test verification, real-time monitoring during testing, and post-fault degradation retesting, avoiding problems such as test invalidation, detection interruption, and judgment failure due to sensor failure or signal loss. Before the formal test starts, the module first outputs a short-time ball valve opening command to trigger a short-time water release action, thereby verifying the signal acquisition validity of the upstream droplet sensor 30. If the upstream droplet sensor 30 has no feedback signal or the signal is abnormal, the module directly locks the current test process, prohibiting invalid detection from starting, thus avoiding invalid testing and erroneous data generation from the source.

[0059] During normal equipment testing, the module synchronously monitors the signal trigger timing intervals of the upstream droplet sensor 30 and the downstream droplet sensor 31 in real time, while simultaneously monitoring the real-time weight change data of the electronic scale 40. Through bidirectional interlocking verification of timing signals and weight data, it accurately identifies two typical faults: one is a fault where the pipeline is completely blocked, resulting in no water flow signal and no weight increment; the other is a fault where the downstream droplet sensor 31 fails or its signal is interrupted. When it is determined that the downstream droplet sensor 31 signal is abnormal, missing, or failed, the equipment does not need to terminate the test. The module starts the degraded calculation logic, relying on the initial rise moment of the weight-time dynamic curve of the electronic scale 40 to replace the missing downstream timing signal, and completes the normal calculation of core parameters such as drainage duration, wake duration, and drainage rate, so as to achieve uninterrupted testing and normal data acquisition.

[0060] Furthermore, it also includes a voice alarm module (not shown in the figure), which is installed inside or on the control box 5. The control processing unit 50 also includes a batch data archiving module.

[0061] The batch data archiving module automatically captures all dimensions of data from the test after a single fan coil unit is tested. This includes time-series parameters collected by upstream droplet sensors 30 and downstream droplet sensors 31, raw weighing data from the electronic scale 40, weight-time dynamic curves generated by the system fitting, five-dimensional core drainage characteristic parameters, and defect judgment results output by the construction defect diagnosis module. At the same time, it associates and binds the unique code of the unit under test, the building, floor, and unit type, the actual test time, and other exclusive identification information to achieve one file per unit and precise binding of data with the unit, thus preventing the problems of confusion, disorder, and lack of traceability of batch test data.

[0062] Meanwhile, the module has the ability to perform batch data statistical analysis and automatic report generation. Based on the test data, it can classify and statistically analyze the unit's test pass rate, the distribution ratio of various construction defects, and the information on the types and locations of units with high defect incidence by building, floor, and unit type. It can automatically generate standardized completion inspection reports, support the export of data in multiple formats, and eliminate the need for manual data processing and manual writing of acceptance reports.

[0063] The voice alarm module is linked and interfaced with various abnormal signal ports of the control processing unit 50. The module monitors in real time the four core abnormal signals output by the control processing unit 50: equipment fault signals, calibration abnormal signals, operating condition abnormal signals, and construction defect judgment signals. Different abnormal signals correspond to preset exclusive voice broadcast content, enabling accurate differentiation of fault types and targeted prompts.

[0064] Equipment malfunctions are indicated by prompts for sensor failures, hardware communication anomalies, and other equipment-related faults; calibration anomalies are indicated by prompts for benchmark anomalies such as zero-point offset of the electronic scale (40°) or failure of residual water calibration; operating condition anomalies are indicated by prompts for operational anomalies such as abnormal water injection steady-state conditions, disordered testing sequence, or data acquisition failure; and construction defect anomalies are indicated by prompts for the aforementioned four types of fan coil unit construction and installation defect judgment results. Through differentiated voice broadcasts, on-site inspection personnel can quickly and intuitively identify the current anomaly type.

[0065] Example 2

[0066] This embodiment, based on embodiment 1, provides a ground-based remote-controlled high-altitude fan coil unit commissioning workstation commissioning method, specifically including the following steps: S1 Equipment Self-Test and Parameter Matching: After the equipment starts up, it first completes the wireless timing synchronization calibration of all equipment sensing and weighing data through the wireless communication synchronization module, unifying the global system clock and eliminating timing offset errors in the separately collected data. Then, it reads the unique unit code of the fan coil unit under test through barcode scanning. The unit type adaptive matching module matches the corresponding building, floor, and unit type information based on the unit code, automatically retrieving the drainage benchmark threshold parameters and standardized test sequences specific to that unit type, eliminating the need for manual parameter configuration. Simultaneously, it completes pre-self-tests of the upstream and downstream droplet sensors 31 and the electronic scale 40, confirming that the hardware signals are normal and the operating conditions are stable. This step achieves adaptive matching of detection parameters and pre-fault troubleshooting of equipment, avoiding invalid tests caused by manual parameter adjustment errors and equipment malfunctions, ensuring consistent and compliant batch testing conditions.

[0067] S2 Quantitative Water Injection: The water pump of the water supply unit 1 starts working and continuously delivers test water to the water tank 20 of the quantitative water storage unit 2. The liquid level detection component 21 dynamically collects the water level signal in the tank in real time. When the water level reaches the preset standard detection water level, the control system immediately shuts down the water pump to complete the quantitative water storage.

[0068] S3 Data Acquisition and Curve Construction: After water injection, the electric ball valve at drain pipe 22 of quantitative water storage unit 2 is opened, and a fixed amount of water flows uniformly through the fan coil unit under test, simulating the actual condensate drainage condition. Throughout the drainage process, upstream droplet sensor 30 and downstream droplet sensor 31 synchronously collect time-series signals of drainage start-stop and water flow changes. Electronic scale 40 continuously collects raw drainage weight data at high frequency, and all collected data is uploaded to control processing unit 50 in real time. Based on the standardized data after time-series calibration, the data preprocessing module fits and constructs a high-precision weight-time dynamic curve, and extracts five core feature parameters in segments: total drainage volume, total drainage duration, drainage rate fluctuation coefficient, tail duration of the terminal wake, and average rate of the stable section. This completes the conversion of raw data into vectorized feature data, providing accurate data model support for defect coupling judgment.

[0069] S4 Signal Interlock and Fault Tolerance: Real-time comparison of the timing signals from upstream and downstream droplet sensors 31 with the weight change data from the electronic scale 40. Through signal interlock logic, the system double-verifies pipeline conditions and equipment status, accurately identifying fault conditions such as complete pipeline blockage, localized anomalies, and sensor signal failure. When an anomaly, loss, or failure of the downstream droplet sensor 31 signal is detected, the system does not terminate the detection process but immediately initiates a degraded calculation logic. It uses the initial rise moment of the weight-time curve from the electronic scale 40 to replace the missing timing signal, completing the calculation of all drainage characteristic parameters.

[0070] S5 Construction Defect Coupling Judgment: The system performs segmented feature analysis on the completed weight-time dynamic curve, accurately extracting five-dimensional core drainage characteristic parameters, and conducting differentiated coupling judgments based on preset benchmark thresholds for the corresponding unit type. Based on the new operating conditions of newly built units without aging or scaling, it accurately distinguishes four exclusive construction and installation defects: complete blockage, partial blockage by construction debris, insufficient or reversed pipe slope, and joint necking or pipe flattening, effectively identifying subtle construction flaws that are indistinguishable to the naked eye. Upon detecting abnormal operating conditions, the voice alarm module immediately triggers, outputting differentiated voice warnings to quickly alert on-site personnel to the type of abnormality.

[0071] S6 Batch Closed-Loop Calibration: After a single test is completed, the system automatically controls the opening of the electric drain valve 410 at the bottom of the water collection tank 41 to drain the residual water in the water collection tank 41; at the same time, it monitors the weight data of the electronic scale 40 in real time. After the weight value tends to a steady state and the water is completely drained, it automatically completes the zero-point calibration reset of the electronic scale 40. If the zero-point offset exceeds the preset threshold after calibration, the system determines that the calibration is abnormal and outputs a prompt to remind manual verification of the calibration.

[0072] S7 Data Iteration and Archiving: During batch testing, the unit type adaptive matching module continuously counts the number of qualified unit samples of the same unit type and the data dispersion. When the sample conditions meet the standards, it statically iterates and optimizes the unit type benchmark threshold parameters based on the compliant and qualified sample data, allowing the testing benchmark to continuously adapt to the on-site construction conditions and continuously improve the accuracy of subsequent tests. At the same time, the batch data archiving module binds and stores all data of this test, including the original data, dynamic curves, feature parameters, defect judgment results, unit information, test time, etc., and statistically analyzes the test data by building and unit type, automatically generating and archiving batch completion test reports.

[0073] The above description only illustrates preferred embodiments of the present invention, but the present invention is not limited to the above embodiments.

Claims

1. A ground-based remote-controlled high-altitude fan coil unit commissioning workstation, characterized in that: It includes a water supply unit (1), a quantitative water storage unit (2), a sensing and detection unit, a water collection and weighing unit (4), and a control and processing unit (50). The water supply unit (1) includes a water tank (10) and a water pump. The water pump inlet is connected to the water tank (10), and the water outlet is connected to the quantitative water storage unit (2). The quantitative water storage unit (2) includes a water filling tank (20) and a liquid level detection component (21). The water filling tank (20) is connected to a drain pipe (22). A control valve (23) is provided at the connection between the water filling tank (20) and the drain pipe (22). The water filling tank (20) is provided with a liquid level detection component (21) for detecting the internal water level. The water collection and weighing unit (4) includes an electronic scale (40), a water collection bucket (41) and a fixed pipe (42). The water collection bucket (41) is placed above the electronic scale (40), and an electric drain valve (410) is provided at the bottom of the water collection bucket (41). The fixed pipe (42) is located above the water collection bucket (41) and is connected to the end of the fan coil drain pipe (22). The sensing and detection unit includes an upstream droplet sensor (30) and a downstream droplet sensor (31). The two sensors share a unified system clock. The upstream droplet sensor (30) is installed at the position of the drain pipe (22), and the downstream droplet sensor (31) is installed at the end of the fixed pipe (42) to collect drainage timing signals. The control processing unit (50) calculates and constructs a weight-time dynamic curve and extracts drainage characteristic parameters based on the time-series signals collected by the upstream droplet sensor (30) and the downstream droplet sensor (31) and the raw weight data collected by the electronic scale (40). It then combines the pre-stored unit type benchmark parameters to complete the identification and judgment of construction defects.

2. The ground-based remote-controlled high-altitude fan coil unit commissioning workstation according to claim 1, characterized in that: It also includes a mobile vehicle body (6), on which a telescopic rod (7) is provided, and the quantitative water storage unit (2) is set on the telescopic rod (7); the water supply unit (1) is set on the mobile vehicle body (6); the bottom of the water filling tank (20) is a sloping structure, and the drain pipe (22) is an L-shaped pipe structure.

3. The ground-based remote-controlled high-altitude fan coil unit commissioning workstation according to claim 1, characterized in that: The water collection and weighing unit (4) also includes a support frame (43) and a fixing ring (44); the lower end of the support frame (43) is fixedly connected to the base of the electronic scale (40), and the upper end of the support frame (43) is fixedly connected to the fixing pipe (42); the fixing ring (44) is sleeved on the outside of the water collection bucket (41) and connected to the support frame (43) for limiting and fixing the water collection bucket (41).

4. The ground-based remote-controlled high-altitude fan coil unit commissioning workstation according to claim 3, characterized in that: The water collection bucket (41) is provided with a guide plate (45), and the upper opening of the water collection bucket (41) is a flared horn structure; the fixing ring (44) is provided with a connecting ear (46) that slides with the support frame (43), and the connecting ear (46) is threaded with a fixing screw (47) for positioning and locking; the fixing tube (42) is provided with an adjustment opening, and a pair of ear plates (48) are symmetrically provided at the opening, and the pair of ear plates (48) are connected by an adjusting bolt (49).

5. A ground-based remote-controlled high-altitude fan coil unit commissioning workstation according to claim 1, characterized in that: The control processing unit (50) includes a wireless communication synchronization module, a data preprocessing module and a construction defect diagnosis module. The three modules work together in a sequential manner to complete timing calibration, data modeling and defect determination. The wireless communication synchronization module receives the raw weighing data collected by the water collection weighing unit (4) and the timing signal collected by the downstream droplet sensor (31). It combines the timing signal of the upstream droplet sensor (30) on the high side to complete the unified clock alignment operation, eliminate the timing offset caused by independent collection at multiple locations, and output standardized collection data with unified timing. The data preprocessing module receives the timing signals from the upstream and downstream droplet sensors (31) and the original weight data from the electronic scale (40) based on the standardized time-series data after calibration. It then calculates and fits the data to construct a weight-time dynamic curve. Based on the curve segment analysis, it extracts five core drainage characteristic parameters: total drainage volume, total drainage duration, drainage rate fluctuation coefficient, tailing duration of the terminal wake, and average rate of the stable section. The module outputs standardized characteristic data. The construction defect diagnosis module receives the weight-time dynamic curve and five-dimensional core feature parameters output by the data preprocessing module, and performs multi-parameter coupling judgment in combination with the preset benchmark threshold of the corresponding house type to accurately distinguish four types of fan coil unit construction and installation defects.

6. A ground-based remote-controlled high-altitude fan coil unit commissioning workstation according to claim 5, characterized in that: The specific judgment logic of the construction defect diagnosis module includes: Complete blockage defect: Within the preset detection time range, if the timing trigger signal of the upstream and downstream droplet sensors (31) is not detected and the electronic scale (40) has no weight increment data, it is determined that the pipeline is completely blocked or the outlet protective film is not torn off. Construction debris partial blockage defect: The total drainage volume parameter is lower than the benchmark threshold of the unit type, the total drainage time parameter is higher than the benchmark threshold of the unit type, and the drainage rate fluctuation coefficient exceeds the preset benchmark fluctuation range. It is determined that there is intermittent partial blockage caused by construction debris left inside the pipe. Insufficient pipe slope or reverse defect: The total drainage parameters are within the normal range of the unit type benchmark, and the average rate of the stable section meets the benchmark requirements. Only the tail length of the tail flow at the end exceeds the preset benchmark threshold of the unit type. It is determined that the residual water tail is caused by insufficient pipe installation slope or reverse pipe. Joint necking or pipe flattening defects: The total drainage volume parameters are normal and the tail flow duration at the end is normal. However, the total drainage duration is slightly excessive and the average rate of the stable section is consistently lower than the preset benchmark threshold for the house type. This is determined to be a construction defect of pipe joint necking or local flattening of the pipe.

7. A ground-based remote-controlled high-altitude fan coil unit commissioning workstation according to claim 5, characterized in that: The control processing unit (50) also includes a unit type adaptive matching module; The adaptive matching module for apartment types pre-stores the mapping relationship between building, floor, apartment type, and unit number, as well as the drainage benchmark threshold parameters corresponding to each apartment type. After receiving the unit encoding signal, it automatically matches the detection benchmark parameters and test sequence of the corresponding apartment type. When the number of qualified samples and data dispersion of the same apartment type meet the preset conditions, the adaptive matching module for apartment types statically iteratively optimizes the benchmark parameters based on the construction error of the newly built unit, and marks the unit test status to achieve batch orderly testing.

8. A ground-based remote-controlled high-altitude fan coil unit commissioning workstation according to claim 7, characterized in that: The control processing unit (50) also includes a batch residual water calibration module and a sensor error prevention verification module; The batch residual water calibration module receives the test completion trigger signal and the real-time weight signal of the electronic scale (40). After the test, it outputs a control command to open the electric drain valve (410) of the water collection tank (41) to drain the accumulated water. When the change in the detected weight value for a continuous preset time is less than the steady-state threshold, it determines that the water is in a steady state and completes the automatic zeroing of the electronic scale (40). If the zero offset exceeds the preset threshold after the steady state, it outputs an abnormal signal. At the same time, it can adaptively trigger a secondary drain calibration for small-displacement units to eliminate the accumulated error of batch testing. Before testing, the sensor error-proof verification module outputs a short-time ball valve opening command to verify the effectiveness of the upstream droplet sensor (30). If an abnormality is found, the test process is locked. During the test, the timing interval of the upstream droplet sensor (30) and the downstream droplet sensor (31) and the weight change of the electronic scale (40) are monitored in real time to identify pipeline blockage faults and downstream droplet sensor (31) failure faults. When the signal of the downstream droplet sensor (31) is abnormal, the parameter calculation is completed by replacing the timing signal with the starting rise time of the weight curve of the electronic scale (40), so as to realize the downgraded test process and ensure the continuity of batch testing.

9. A ground-based remote-controlled high-altitude fan coil unit commissioning workstation according to claim 7, characterized in that, It also includes a voice alarm module, and the control processing unit (50) further includes a batch data archiving module; The batch data archiving module binds and stores sensor time-series parameters, electronic scale (40) raw data, weight-time dynamic curve, drainage characteristic parameters, defect judgment results, unit code, unit type, and test time information; it statistically analyzes the test pass rate and defect distribution by building and unit type, automatically generates a completion inspection report, and supports multi-format data export, so as to realize traceable archiving of test data. The voice alarm module receives four types of abnormal signals: equipment malfunction, calibration abnormality, operating condition abnormality, and construction defect. It then executes differentiated voice broadcasts to alert on-site personnel to abnormal operating conditions.

10. The commissioning method of the ground-controlled high-altitude fan coil unit commissioning workstation according to claims 1 to 9, characterized in that, Includes the following steps: S1 device self-test and parameter matching: completes wireless timing synchronization calibration, scans and identifies unit code, automatically matches the detection benchmark parameters of the corresponding unit type, and completes sensor pre-self-test; S2 quantitative water injection: The water pump injects water into the water tank (20), the liquid level detection component (21) detects the water level, and the water pump is shut off after the water level reaches the standard; S3 Data Acquisition and Curve Construction: When the electric ball valve is turned on to release water, the upstream droplet sensor (30) and the downstream droplet sensor (31) collect the drainage timing signal, the electronic scale (40) collects the original data of the drainage weight and uploads it to the control processing unit (50), and the data preprocessing module calculates and generates the weight-time dynamic curve and extracts the five-dimensional core feature parameters; S4 signal interlocking and fault tolerance: Real-time comparison of sensor timing signals and weight data to identify pipe blockage or sensor malfunction. When a sensor malfunctions, the downgrade calculation logic is activated to complete the data calculation. S5 Construction Defect Coupling Judgment: The weight-time dynamic curve is segmented and feature-analyzed to extract five-dimensional core feature parameters. Based on the new unit's no-aging and no-scaling conditions, multi-parameter coupling judgment logic is used to accurately distinguish four types of construction defects: complete blockage, partial blockage by debris, abnormal pipe slope, and joint necking. It can identify minor construction and installation flaws and trigger corresponding voice warning prompts when abnormal conditions are detected. S6 Batch Closed-Loop Calibration: After the test is completed, the water collection tank (41) is automatically controlled to drain the water. After the steady state is reached, the zero point calibration of the electronic scale (40) is completed. If the abnormality exceeds the standard, manual verification will be prompted. S7 Data Iteration and Archiving: After qualified samples of the same type of housing meet the standards, statically optimize the benchmark parameters, bind unit information and test time information to store the full amount of test data, and automatically generate and archive batch completion inspection reports.

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