Non- variable displacement pump based remote management cabinet integrated diesel generator test load air intake alarm control device

Abstract

The present application relates to diesel generator set test equipment technical field, specifically for remote management cabinet integrated diesel generator test load air inlet alarm control device based on non variable displacement pump, including non variable displacement pump unit, air inlet baffle control unit, operation range monitoring unit, central processing unit and alarm unit, central processing unit receives starting signal, dynamic adjustment centrifugal fan speed and PID control air inlet baffle opening, ensure that the heat dissipation air volume meets the demand;Operation range monitoring unit acquires point cloud data through 3D camera, and the moving target in the warning area is identified by intrusion detection algorithm, and multi-stage alarm and safety interlocking forced shutdown are triggered;After test stops, calculate delay time to close air duct, and protect components cooling;The air pressure sensor monitors the air duct state in real time, and timely early warning blockage or leakage fault.The present application has high integration degree, precise heat dissipation, comprehensive safety protection, strong adaptability, effectively improves diesel generator test load operation stability and safety.

Description

Technical Field

[0001] This invention relates to the technical field of diesel generator set testing equipment, specifically to an integrated diesel generator test load air intake alarm control device based on a remote management cabinet using a non-variable displacement pump. Background Technology

[0002] As a core device for verifying the performance of diesel generator sets, the diesel generator test load is widely used in various scenarios such as industrial production, outdoor engineering, and laboratory testing. Its operational stability and safety directly affect the accuracy of test results and the safety of on-site personnel and equipment. With the increase in the power level of diesel generator sets and the diversification of testing scenarios, the diesel generator test load generates a large amount of heat during operation. If heat dissipation is not timely or efficient, it will lead to excessive temperature rise of the equipment, causing problems such as component aging, test interruption, or even equipment failure. Therefore, efficient and reliable heat dissipation control is a key guarantee for the normal operation of the diesel generator test load.

[0003] Existing diesel generator test loads typically employ decentralized air intake and cooling control devices, requiring separate fan control modules, baffle adjustment mechanisms, and other independent equipment. This not only occupies significant space and involves complex installation and deployment processes but also suffers from poor control coordination. Most cooling systems utilize a fixed airflow design, meaning the fan speed and inlet baffle opening cannot be dynamically adjusted based on the real-time power of the test load. This results in either excessive airflow leading to energy waste or insufficient airflow causing inadequate cooling, making it difficult to adapt to the cooling requirements under different power conditions and resulting in low temperature control accuracy.

[0004] In terms of safety protection, existing diesel generator test loads mostly use traditional methods such as infrared beams and ultrasonic detection for work area surveillance. These methods can only achieve intrusion detection in planar or simple three-dimensional spaces, and cannot accurately define complex three-dimensional work warning areas. They are also susceptible to interference from factors such as ambient light and noise, resulting in a high false alarm rate. At the same time, alarm mechanisms are mostly single warnings, lacking a tiered response strategy. Even if an intrusion is detected, it is difficult to quickly notify management personnel for intervention, and there is no safety interlock forced shutdown function. If personnel accidentally enter a dangerous area, it can easily lead to safety accidents, resulting in insufficient comprehensiveness and reliability of safety protection.

[0005] Furthermore, existing devices lack targeted system protection and fault early warning mechanisms. After testing, the air intake duct is often shut off directly, preventing the residual heat of the core load components from dissipating in a timely manner. Over time, this accelerates component wear and shortens equipment lifespan. Simultaneously, blockages and leaks in the air intake duct are difficult to detect promptly, typically requiring investigation only after obvious equipment abnormalities occur. This not only increases maintenance difficulty and costs but may also lead to test interruptions due to escalating faults, affecting the continuity of testing work. These problems restrict the operational stability, safety, and ease of maintenance of diesel generator test loads, necessitating an integrated, high-precision, and highly secure air intake alarm control device to address these issues. Summary of the Invention

[0006] The purpose of this invention is to provide an integrated diesel generator test load air intake alarm control device based on a non-variable displacement pump in a remote management cabinet, in order to solve the problems mentioned in the background art, such as low integration level of existing diesel generator test load air intake and alarm control devices, inability of heat dissipation air volume to adapt to real-time power requirements, insufficient accuracy and reliability of intrusion detection, and lack of targeted system protection and air duct fault early warning mechanism.

[0007] To achieve the above objectives, the present invention provides the following technical solution: An integrated diesel generator test load air intake alarm control device based on a non-variable displacement pump is provided in the remote management cabinet of the diesel generator test load. The device includes a non-variable displacement pump unit, an air intake damper control unit, an operating range monitoring unit, a central processing unit, and an alarm unit. The non-variable displacement pump unit is a centrifugal fan, whose drive circuit is connected to the central processing unit and is used to generate cooling airflow according to control commands. The air inlet damper control unit includes an electric actuator for driving the air inlet damper to rotate, and its opening degree θ is determined by the central processing unit through a control algorithm; The work area monitoring unit includes at least one depth sensor for real-time acquisition of point cloud data of the work area; The central processing unit is configured to perform the following operations: upon receiving a diesel generator test load start signal, calculate and output a control signal to open the air inlet damper to a predetermined opening degree, and simultaneously start the work area monitoring unit; based on the point cloud data, use an intrusion detection algorithm to determine in real time whether a moving target has entered the preset work warning area; when an intrusion is detected, trigger the alarm unit to issue an alarm signal; after receiving a diesel generator test load stop signal, output a control signal to close the air inlet damper after a delay time T.

[0008] Preferably, the air volume Qv of the centrifugal fan in the non-variable displacement pump unit satisfies the following relationship: Q v=k×N, where N is the fan speed, and k is a characteristic coefficient related to the fan impeller diameter and type. The central processing unit dynamically adjusts N according to the real-time power P of the test load based on a pre-stored mapping table to ensure the minimum airflow Q that meets the heat dissipation requirements. min Q min The calculation formula is: ; Where ρ is the air density, and c p ΔT is the specific heat capacity of air at constant pressure, and ΔT is the maximum allowable temperature rise of the system.

[0009] Preferably, the air inlet damper control algorithm adopts proportional-integral-derivative PID control, the target opening degree θtarget of the air inlet damper is set by the central processing unit, and the control signal U of the electric actuator is calculated by the following formula: ; Where e(t) = θ target -θ actual (t), where θ is the opening deviation at the current time. actual (t) represents the actual opening degree of the baffle at time t, K p K represents the proportional gain coefficient. i K represents the integral gain coefficient. d Represents the differential gain coefficient. e(τ)dτ represents the integral of the historical deviation e(τ) from time 0 to time t, and de(t) / dt represents the rate of change of the opening deviation e(t) at time t.

[0010] Preferably, the intrusion detection algorithm includes the following steps: First, the point cloud data is preprocessed, including voxel grid downsampling and statistical outlier removal to reduce noise; second, the point cloud is divided into different clusters using a clustering algorithm based on Euclidean distance, where any cluster Ci must satisfy that the distance D between any two points within the cluster is less than a distance threshold D; finally, the bounding box volume V of each cluster is calculated, and the displacement S of its centroid is tracked between consecutive frames. If a cluster simultaneously satisfies V... min <V<V max And S > S min If so, it is determined to be an intrusion by personnel, V min and V max S represents the preset volume threshold range. min This indicates the preset minimum displacement threshold.

[0011] Preferably, the operation range monitoring unit uses a 3D camera based on the time-of-flight principle. The preset operation warning area is defined by the human-computer interaction interface of the central processing unit as a cuboid model in three-dimensional space. The cuboid is determined by the coordinates of two diagonal points P1(x1,y1,z1) and P2(x2,y2,z2). The criterion for determining whether point Q(x,y,z) has intruded is: when x1≤x≤x2, y1≤y≤y2, and z1≤z≤z2 are satisfied simultaneously, point Q is determined to be within the warning area.

[0012] Preferably, the delay time T is given by the formula The calculation shows that C is the heat capacity of the test load, ΔT is the difference between the load temperature and the ambient temperature at the end of the test, and P is the average power at the instant before the end of the test. This delay is used to ensure that the core components of the load are fully cooled before the air duct is closed.

[0013] Preferably, the alarm unit includes a multi-level alarm strategy. When an intrusion is detected for the first time, a level one alarm is triggered, and a warning message is displayed only on the HMI interface of the remote management cabinet. If the intrusion target does not leave the warning area within a duration t, a level two alarm is triggered, and a notification message containing a screenshot of the scene is automatically sent to a preset mobile terminal of the management personnel.

[0014] Preferably, the device also includes a safety interlock function. When a level 2 alarm is triggered, if the management personnel do not intervene and confirm through the system within a set time, the central processing unit will automatically generate and send a stop command to the diesel generator test load to forcibly stop the test operation.

[0015] Preferably, the central processing unit has a built-in self-learning module for optimizing the sensitivity of the intrusion detection algorithm. This module establishes a false alarm probability model P by recording the ambient light intensity value L and ambient noise intensity value N of historical false alarm events. fa =f(L,N), and dynamically adjust the distance threshold D thresh and displacement threshold S min This makes D thresh =D thresh ·(1+α·Pfa), S min ′=S min ·(1-β·Pfa), where P fa Let L represent the false alarm probability, L represent the ambient light intensity, N represent the ambient noise intensity, f represent the mapping function, and D represent the false alarm probability. thresh ' represents the adjusted distance threshold, α represents the learning rate coefficient of the distance threshold, and S min ' represents the adjusted displacement threshold, and β represents the learning rate coefficient of the displacement threshold.

[0016] Preferably, a wind pressure sensor is installed in the air inlet duct of the non-variable displacement pump unit. The central processing unit monitors the wind pressure value Ppressure in real time and compares it with the expected wind pressure Pexpected calculated based on the fan speed N and the baffle opening θ. If the absolute value of the deviation is |ΔP|=|P pressure -P expected If the threshold ΔPmax is continuously exceeded, it is determined that there is a blockage or leak in the air duct, and a system maintenance alarm is triggered, where P... pressure P represents the measured wind pressure value. expected |ΔP| represents the expected wind pressure value, and |ΔP| represents the absolute value of the wind pressure deviation. max This indicates the preset wind pressure deviation threshold.

[0017] Compared with the prior art, the beneficial effects of the present invention are: I. Unify lifetime definition and mechanism-driven degradation model to improve predictive universality and physical rationality. This invention overcomes the limitation of existing technologies lacking a unified lifespan measurement standard. By precisely defining capacity health (SOHC), internal resistance health (SOHR), and overall health (SOH), it clarifies lifespan as the number of cycles until the overall health first drops to the failure threshold (Smin). It also provides a quantitative calculation method for remaining lifespan (RUL), achieving consistency and comparability in lifespan evaluation across different battery systems and application scenarios. The degradation model deeply integrates electrochemical mechanisms, parameterizing core degradation mechanisms such as SEI film growth, cathode structure phase transition, and increased polarization. It also explicitly introduces operating condition factors such as temperature, charge / discharge rate, and cycle depth, ensuring that predictions not only rely on data fitting but also strictly adhere to the physical laws of battery degradation. This effectively reduces interference from lifespan data noise and significantly improves the model's generalization ability.

[0018] II. Focusing on batch lifetime modeling to achieve quantitative evaluation of consistency and support for engineering decision-making.

[0019] Addressing the pain point that traditional methods, which focus on single-cell lifetime prediction, struggle to meet the demands of batch-level applications, this invention constructs an extraction system from early-stage single-cell feature vectors to batch feature vectors. Based on the Weibull distribution, a group lifetime distribution model is established, accurately predicting key statistics such as batch average lifetime, standard deviation, and coefficient of variation. The innovatively designed Batch Health Index (BHI) comprehensively considers average lifetime, coefficient of variation, and the proportion of short-life cells, achieving quantitative grading of batch quality levels. This provides direct evidence for practical engineering decisions such as battery factory grading and energy storage system grouping. Compared to single-cell lifetime prediction, this method better aligns with the core needs of battery production quality control and energy storage power station operation and maintenance, filling the technological gap in quantitative evaluation of batch consistency.

[0020] III. Improve the sparrow search algorithm to balance parameter optimization accuracy and global search capability.

[0021] This invention addresses the insufficient adaptability of the classic sparrow search algorithm in batch lifetime prediction by proposing three key improvements: First, it introduces mechanistic constraints and statistical consistency constraints into the fitness function to ensure that the optimization process satisfies physical laws while achieving synergistic unity between individual prediction and batch statistical features. Second, it constructs a multi-objective optimization framework by simultaneously fusing mechanistic and statistical parameters through individual encoding, balancing individual prediction accuracy, batch statistical accuracy, and model generalization ability. Third, it adds a physical guidance term to the position update, adjusting the search direction based on the mechanistic consistency score, effectively avoiding premature convergence and local optima problems when the number of sample batches is small and the feature dimension is high. The improved algorithm structure is more suitable for the complex scenario of sodium-ion battery lifetime prediction, and its parameter optimization accuracy and global search efficiency are significantly better than traditional intelligent optimization methods.

[0022] IV. Construct a complete effectiveness evaluation system to ensure the reliability and practical value of engineering applications.

[0023] This invention establishes a multi-dimensional evaluation index system covering both individual and batch dimensions, including RMSE, MAPE, and R² for individual lifetime prediction, as well as RMSEμ and RMSECV for batch average lifetime error. It also sets clear engineering application qualification criteria, providing a unified standard for objective evaluation of model performance. Practical application verification shows that this method only requires early data from 50 cycles to complete batch lifetime and consistency prediction, reducing testing time by approximately 80% compared to traditional methods, and improving the accuracy of low-quality batch identification to over 95%. In energy storage power station scenarios, it can reduce effective available capacity decay by 10% and unplanned downtime by 20%, reducing testing costs and maintenance risks while significantly improving production efficiency and system operation economy, demonstrating strong engineering application value. Attached Figure Description

[0024] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are explained in detail together with the embodiments of the invention, but do not constitute a limitation thereof.

[0025] Figure 1 This is a block diagram of the device components of the present invention; Figure 2 This is a bar chart comparing the technical parameters of Embodiment 1 and Embodiment 2 of the present invention; Figure 3 This refers to the minimum heat dissipation airflow requirements for different power levels in Embodiment 1 and Embodiment 2 of the present invention. Detailed Implementation

[0026] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0027] Example 1: Control device for a fixed diesel generator testing system in an industrial plant

[0028] This embodiment is applied to a fixed diesel generator test load scenario in a large industrial plant, where the ambient temperature is stable between 5-40℃, and reliable heat dissipation and low false alarm rate of intrusion alarm are required during continuous operation.

[0029] The device is integrated into the remote management cabinet of the diesel generator test load. The configuration of each unit is as follows: The non-variable displacement pump unit uses a 4-72 type centrifugal fan with a characteristic coefficient k=0.08m³ / (min) The drive circuit is connected to the central processing unit (using an STM32H743 microcontroller). The air intake baffle control unit uses a DKJ-210 electric actuator, with PID control parameters set to Kp=5.0, Ki=0.1, and Kd=0.5. The work range monitoring unit uses a KinectV23D camera (based on the time-of-flight principle), and the preset work warning area is defined as a cuboid model through the human-machine interface, with diagonal coordinates P1(0,0,0) and P2(3,2,2). The alarm unit includes an HMI interface display and a 4G SMS module, and the safety interlock is set to intervene and confirm within 10 minutes.

[0030] During operation, when a diesel generator test load start signal (power P=500kW) is received, the central processing unit first calculates the minimum cooling airflow Qmin=P / (ρ cp ΔT)=500000 / (1.2×1005×40)≈10.3m³ / min, then adjust the fan speed N according to the pre-stored mapping table to make the air volume satisfy Q≥Qmin, and at the same time control the air inlet damper to open to the target opening degree of 60°.

[0031] The work area monitoring unit collects point cloud data in real time. After voxel grid downsampling and statistical outlier removal preprocessing, clusters are segmented using Euclidean distance clustering (Dthresh=0.3m). When a cluster is detected that satisfies 0.05m³ < V < 0.8m³ and S > 0.1m / s, it is determined to be a personnel intrusion. The first intrusion triggers a level one alarm (HMI interface warning). If the intruder does not leave within 30 seconds, a level two alarm is triggered (sending a screenshot of the scene to the administrator's mobile phone). If no intervention is taken within 10 minutes, the system is forcibly shut down.

[0032] After the diesel generator test stops, the delay time is calculated using the formula T=(C×ΔT) / P, where C=800kJ / K, ΔT=35K, and P=480kW, resulting in T≈58.3s. After the delay, the air intake damper is closed. The central processing unit records the ambient light intensity L and noise intensity N through a self-learning module, establishing a false alarm probability model Pfa=f(L,N). The clustering distance threshold and displacement threshold are dynamically adjusted according to α=0.2 and β=0.15. Simultaneously, the air pressure Ppressure in the air intake duct is monitored in real time and compared with the expected air pressure Pexpected. When |ΔP|>50Pa and lasts for more than 5 seconds, a duct maintenance alarm is triggered.

[0033] Example 2: Outdoor Mobile Diesel Engine Test Vehicle Control Device

[0034] This embodiment is adapted to mobile diesel generator test vehicles at outdoor engineering sites, where ambient light intensity fluctuates greatly (500-10000 lux) and noise interference is significant, requiring the device to have strong anti-interference capabilities and a compact structure.

[0035] The device is integrated into a dedicated remote management cabinet on the test vehicle, and its core configuration is as follows: The non-variable volume pump unit uses a small, high-efficiency centrifugal fan, k=0.05m³ / (min The air intake damper control unit uses a miniature electric actuator, with PID parameters optimized to Kp=6.5, Ki=0.15, and Kd=0.3 to improve response speed; the work range monitoring unit uses a compact TOF3D camera, and the work warning area is defined as a cuboid of P1(0.5,0.5,0.5) and P2(2,1.5,1.8); the alarm unit adds an outdoor audible and visual alarm, and the safety interlock intervention time is set to 5 minutes; the wind pressure monitoring threshold ΔPmax=40Pa is suitable for outdoor use scenarios with a lot of dust.

[0036] During operation, the diesel generator's test load power dynamically fluctuates between 300-600kW. The central processing unit calculates Qmin in real time and adjusts the fan speed accordingly. For example, when P=400kW, Qmin≈400000 / (1.2×1005×45)≈7.4m³ / min. After the operating range monitoring unit collects point cloud data, the initial clustering distance threshold is set to 0.25m, the volume threshold is 0.03m³<V<0.6m³, and the displacement threshold is 0.08m / s. The self-learning module sets α=0.3 and β=0.2 to dynamically adjust the thresholds to reduce false alarms due to fluctuations in the outdoor environment. When an intrusion is detected, a level one alarm triggers an HMI interface warning and an audible and visual alarm. If the intruder does not leave within 20 seconds, a level two alarm is sent (SMS + APP push). If no intervention is received within 5 minutes, the generator is forcibly shut down. After the test stops, the delay time is calculated using T=(C×ΔT) / P, where C=600kJ / K, ΔT=30K, and P=380kW, resulting in T≈47.4s, ensuring sufficient cooling of the core components of the load. The air pressure sensor in the intake duct monitors the system in real time. If a sustained air pressure deviation exceeds 40Pa, it is determined to be a blockage or leak in the duct, immediately triggering a maintenance alarm and displaying the fault location on the HMI interface.

[0037] Example 3: Control Device for High-Precision Diesel Engine Testing Platform in the Laboratory

[0038] This embodiment is a high-precision diesel generator test platform for university laboratories, requiring high precision in heat dissipation control, an intrusion detection false alarm rate of <0.5%, and suitability for low-power, long-term stable testing scenarios.

[0039] The device is configured to focus on high precision and low false alarms: the non-variable displacement pump unit uses a high-precision centrifugal fan, k=0.07m³ / (min The fan speed adjustment accuracy reaches 1 r / min; the air inlet damper control unit adopts a servo electric actuator, and the PID parameters are optimized to Kp=4.2, Ki=0.08, Kd=0.6 to reduce overshoot in opening adjustment; the operation range monitoring unit adopts an industrial-grade high-precision TOF camera, and the point cloud preprocessing adds a radius filtering step, with a clustering distance threshold Dthresh=0.2m, a volume threshold of 0.04m³<V<0.5m³, and a displacement threshold of 0.05m / s. The operation warning area is precisely defined as a cuboid of P1(1,1,1) and P2(2.5,1.8,1.5); the alarm unit is linked to the laboratory security system, and the safety interlock intervention time is set to 3 minutes; the self-learning module adopts a quadratic polynomial fitting false alarm probability model Pfa=f(L,N), α=0.1, β=0.08 to achieve fine-tuning of thresholds; the expected wind pressure Pexpected for wind pressure monitoring adopts a multi-parameter fitting algorithm, ΔPmax=30Pa.

[0040] During operation, the diesel generator's test load power remained stable at 300kW. The central processing unit adjusted the fan speed according to Qmin=300000 / (1.206×1005×30)≈8.3m³ / min (precisely taking into account the influence of ambient temperature on air density ρ). The opening of the air inlet damper was dynamically fine-tuned according to real-time heat dissipation requirements. The point cloud data collected by the operating range monitoring unit underwent multiple preprocessing steps, achieving a clustering and segmentation accuracy of ±0.01m. When an intrusion cluster meeting the criteria was detected, a level two alarm was triggered if the intruder did not leave within 15 seconds (HMI warning + security system linkage + administrator notification). If no intervention was initiated within 3 minutes, a forced shutdown was implemented. After the test stopped, the delay time was calculated using T=(C×ΔT) / P, where C=700kJ / K, ΔT=25K, and P=290kW, resulting in T≈60.3s. The central processing unit continuously optimizes the intrusion detection threshold through a self-learning module, and combines it with wind pressure monitoring data (an alarm is triggered if the deviation exceeds 30Pa) to ensure that the device operates stably during long-term high-precision testing, and the false alarm rate is controlled within the target range.

[0041]

[0042] The main advantages of this invention can be summarized as follows: This invention achieves a highly integrated design, consolidating core modules such as the non-variable displacement pump unit, the air inlet damper control unit, and the operating range monitoring unit into the remote management cabinet of the diesel generator test load. This eliminates the need for separate control equipment, effectively reducing system space requirements and simplifying installation and deployment. Simultaneously, the central processing unit dynamically adjusts the centrifugal fan speed based on the real-time power of the test load, and precisely controls the air inlet damper opening using a PID control algorithm. This ensures that the cooling airflow always meets the minimum cooling requirements, avoiding energy waste caused by excessive airflow and effectively controlling system temperature rise, thus guaranteeing stable operation of the diesel generator test load under various operating conditions.

[0043] The intrusion detection mechanism of this invention boasts high precision and reliability. The work area monitoring unit employs a 3D camera based on the time-of-flight principle, accurately defining the work warning area through a three-dimensional cuboid model. Combined with point cloud preprocessing, Euclidean distance clustering, and intrusion detection algorithms that assess cluster volume and displacement, it can accurately identify moving targets entering the warning area. The self-learning module built into the central processing unit dynamically adjusts the detection threshold by recording ambient light and noise intensity, significantly reducing the probability of false alarms. Combined with multi-level alarm strategies and safety interlock functions, a complete safety protection chain is formed from early warning and notification to forced shutdown, maximizing the safety of personnel in the work area.

[0044] This invention features comprehensive system protection and maintenance alerts. After testing, the delay time is calculated based on heat capacity, temperature difference, and average power to ensure that the core components of the load are fully cooled before closing the air duct, preventing damage to the equipment from residual high temperatures. A wind pressure sensor installed in the air inlet duct monitors the wind pressure status in real time. By comparing it with the expected wind pressure, it promptly detects air duct blockages or leaks and triggers maintenance alarms, facilitating early troubleshooting by management personnel. These designs extend equipment lifespan, reduce test interruptions caused by sudden failures, and lower subsequent maintenance costs.

[0045] This invention boasts exceptional adaptability and practicality. All core parameters are flexibly adjustable. The centrifugal fan speed is adapted to different test loads via a pre-stored mapping table. Inlet damper PID control parameters, intrusion detection thresholds, and alert zone ranges can be set as needed through a human-machine interface. The duration of multi-level alarms and the intervention confirmation time for safety interlocks can also be flexibly configured according to actual application scenarios. Whether it's a fixed testing system in an industrial plant, a mobile outdoor testing vehicle, or a high-precision laboratory testing platform, it can meet specific usage requirements, making it widely applicable.

[0046] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A remote management cabinet integrated diesel generator test load air intake alarm control device based on a non-variable displacement pump, characterized in that, The device is integrated into the remote management cabinet of the diesel generator test load and includes a non-variable capacity pump unit, an air inlet damper control unit, an operating range monitoring unit, a central processing unit, and an alarm unit. The non-variable displacement pump unit is a centrifugal fan, whose drive circuit is connected to the central processing unit and is used to generate cooling airflow according to control commands. The air inlet damper control unit includes an electric actuator for driving the air inlet damper to rotate, and its opening degree θ is determined by the central processing unit through a control algorithm; The work area monitoring unit includes at least one depth sensor for real-time acquisition of point cloud data of the work area; The central processing unit is configured to perform the following operations: upon receiving a diesel generator test load start signal, calculate and output a control signal to open the air intake damper to a predetermined opening degree, and simultaneously start the work area monitoring unit; based on the point cloud data, use an intrusion detection algorithm to determine in real time whether a moving target has entered the preset work warning area; When an intrusion is detected, the alarm unit is triggered to issue an alarm signal; after receiving the diesel generator test load stop signal, a control signal is output after a delay time T to close the air intake damper.

2. The integrated diesel generator test load air intake alarm control device based on a non-variable displacement pump in a remote management cabinet according to claim 1, characterized in that, The centrifugal fan of the non-variable displacement pump unit has an air volume Qv that satisfies the following relationship: Q v =k×N, where N is the fan speed, and k is a characteristic coefficient related to the fan impeller diameter and type. The central processing unit dynamically adjusts N according to the real-time power P of the test load based on a pre-stored mapping table to ensure the minimum airflow Q that meets the heat dissipation requirements. min Q min The calculation formula is: ； Where ρ is the air density, and c p ΔT is the specific heat capacity of air at constant pressure, and ΔT is the maximum allowable temperature rise of the system.

3. The integrated diesel generator test load air intake alarm control device based on a non-variable displacement pump in a remote management cabinet according to claim 1, characterized in that, The air inlet damper control algorithm adopts proportional-integral-derivative (PID) control. The target opening degree θtarget of the air inlet damper is set by the central processing unit, and the control signal U of the electric actuator is calculated by the following formula: ； Where e(t) = θ target -θ actual (t), where θ is the opening deviation at the current time. actual (t) represents the actual opening degree of the baffle at time t, K p K represents the proportional gain coefficient. i K represents the integral gain coefficient. d Represents the differential gain coefficient. e(τ)dτ represents the integral of the historical deviation e(τ) from time 0 to time t, and de(t) / dt represents the rate of change of the opening deviation e(t) at time t.

4. The integrated diesel generator test load air intake alarm control device based on a non-variable displacement pump in a remote management cabinet according to claim 1, characterized in that, The intrusion detection algorithm includes the following steps: First, the point cloud data is preprocessed, including voxel grid downsampling and statistical outlier removal to reduce noise. Second, a clustering algorithm based on Euclidean distance is used to segment the point cloud into different clusters, where any cluster Ci must satisfy the condition that the distance D between any two points within the cluster is less than a distance threshold D. Finally, the bounding box volume V of each cluster is calculated, and the displacement S of its centroid is tracked between consecutive frames. If a cluster simultaneously satisfies V... min <V<V max And S > S min If so, it is determined to be an intrusion by personnel, V min and V max S represents the preset volume threshold range. min This indicates the preset minimum displacement threshold.

5. The integrated diesel generator test load air intake alarm control device based on a non-variable displacement pump in a remote management cabinet according to claim 1, characterized in that, The operation range monitoring unit uses a 3D camera based on the time-of-flight principle. The preset operation warning area is defined by the human-computer interaction interface of the central processing unit as a cuboid model in three-dimensional space. The cuboid is determined by the coordinates of two diagonal points P1(x1,y1,z1) and P2(x2,y2,z2). The criterion for whether point Q(x,y,z) has intruded is: when x1≤x≤x2, y1≤y≤y2, and z1≤z≤z2 are satisfied simultaneously, point Q is determined to be within the warning area.

6. The integrated diesel generator test load air intake alarm control device based on a non-variable displacement pump in a remote management cabinet according to claim 1, characterized in that, The delay time T is given by the formula The calculation shows that C is the heat capacity of the test load, ΔT is the difference between the load temperature and the ambient temperature at the end of the test, and P is the average power at the instant before the end of the test. This delay is used to ensure that the core components of the load are fully cooled before the air duct is closed.

7. The integrated diesel generator test load air intake alarm control device based on a non-variable displacement pump in a remote management cabinet according to claim 1, characterized in that, The alarm unit includes a multi-level alarm strategy. When an intrusion is detected for the first time, a level 1 alarm is triggered, and a warning message is displayed only on the HMI interface of the remote management cabinet. If the intrusion target does not leave the warning area within a duration t, a level 2 alarm is triggered, and a notification message containing a screenshot of the scene is automatically sent to the preset mobile terminal of the management personnel.

8. The integrated diesel generator test load air intake alarm control device based on a non-variable displacement pump in a remote management cabinet according to claim 7, characterized in that, The device also includes a safety interlock function. When a level 2 alarm is triggered, if the management personnel do not intervene and confirm through the system within a set time, the central processing unit will automatically generate and send a stop command to the diesel generator test load to forcibly stop the test operation.

9. The integrated diesel generator test load air intake alarm control device based on a non-variable displacement pump in a remote management cabinet according to claim 1, characterized in that, The central processing unit has a built-in self-learning module for optimizing the sensitivity of the intrusion detection algorithm. This module establishes a false alarm probability model P by recording the ambient light intensity value L and ambient noise intensity value N of historical false alarm events. fa =f(L,N), and dynamically adjust the distance threshold D thresh and displacement threshold S min This makes D thresh =D thresh ·(1+α·Pfa), S min ′=S min ·(1-β·Pfa), where P fa Let L represent the false alarm probability, L represent the ambient light intensity, N represent the ambient noise intensity, f represent the mapping function, and D represent the false alarm probability. thresh ' represents the adjusted distance threshold, α represents the learning rate coefficient of the distance threshold, and S min ' represents the adjusted displacement threshold, and β represents the learning rate coefficient of the displacement threshold.

10. The integrated diesel generator test load air intake alarm control device based on a non-variable displacement pump in a remote management cabinet according to claim 1, characterized in that, A wind pressure sensor is installed in the air inlet duct of the non-variable displacement pump unit. The central processing unit monitors the wind pressure value Ppressure in real time and compares it with the expected wind pressure Pexpected calculated based on the fan speed N and the damper opening θ. If the absolute value of the deviation is |ΔP|=|P pressure -P expected If the threshold ΔPmax is continuously exceeded, it is determined that there is a blockage or leak in the air duct, and a system maintenance alarm is triggered, where P... pressure P represents the measured wind pressure value. expected |ΔP| represents the expected wind pressure value, and |ΔP| represents the absolute value of the wind pressure deviation. max This indicates the preset wind pressure deviation threshold.

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