Pump station room environment temperature real-time monitoring method and system based on intelligent sensor

Abstract

The invention relates to the technical field of equipment temperature monitoring, in particular to a pump station room environment temperature real-time monitoring method and system based on an intelligent sensor, and the method comprises the steps: dividing a pump station room into a heat source region, a heat dissipation region and a room temperature region; determining the spatial balance degree of temperature transfer between the heat source area and the heat dissipation area at each moment under each working condition in the monitoring time period, so as to obtain the dynamic stability of the temperature transfer of each working condition, and obtaining the spatial distribution rule characteristics according to the temperature change relationship between the other two areas and the room temperature area, so as to obtain the heat balance characteristics of the pump station room. And finally, according to the spatial balance degree of the current moment, the heat balance stability index of the working condition where the current moment is located and the heat balance characteristics, the temperature abnormal degree of the current moment is obtained, the accuracy and reliability of the temperature abnormal degree of the current moment can be improved, and therefore the reliability and accuracy of pump station room environment temperature monitoring are improved.

Description

Technical Field

[0001] This invention relates to the field of equipment temperature monitoring technology, specifically to a method and system for real-time monitoring of the ambient temperature of a pumping station based on intelligent sensors. Background Technology

[0002] Pumping station buildings are critical infrastructure in drainage systems of water conservancy, petrochemicals, and power industries. They typically house numerous precision devices such as motors, pumps, and control cabinets, which continuously generate heat during operation. Furthermore, the enclosed space and limited heat dissipation within the pumping station make it highly susceptible to overheating of electrical components, insulation aging, control system malfunctions, and mechanical component degradation if the ambient temperature rises or falls abnormally. This can lead to equipment failures or even safety accidents. Therefore, real-time monitoring of the internal ambient temperature of the pumping station is crucial for ensuring its long-term safe and stable operation. Currently, intelligent sensor technology and the Internet of Things (IoT) are used to perceive, remotely transmit, and intelligently warn of the pumping station's environmental conditions. By establishing a comprehensive temperature monitoring system, alarms can be automatically triggered when the pumping station temperature is abnormal.

[0003] In existing technologies, temperature monitoring solutions for pumping station buildings generally employ a fixed temperature threshold alarm mechanism. A fixed temperature threshold is preset in the system, and an alarm is triggered when the monitored temperature exceeds this threshold. However, in actual operation, the internal temperature of the pumping station building is affected by various factors, such as equipment operating load, seasonal climate differences, and ventilation conditions, leading to dynamic temperature fluctuations at different times and under different operating conditions. Therefore, using a fixed temperature threshold for judgment can affect the accuracy and reliability of temperature warnings. Summary of the Invention

[0004] To address the technical problem of low accuracy in existing methods for monitoring and early warning of ambient temperature in pumping stations, the present invention aims to provide a method and system for real-time monitoring of ambient temperature in pumping stations based on intelligent sensors. The specific technical solution adopted is as follows: In a first aspect of the present invention, a method for real-time monitoring of the ambient temperature of a pumping station based on a smart sensor is provided, comprising: Determine the spatial balance of temperature transfer between the heat source area and the heat dissipation area at each moment under various operating conditions during the monitoring period; the pump station is divided into a heat source area, a heat dissipation area, and a room temperature area; The dynamic stability of temperature transfer under various operating conditions is obtained from the fluctuation of spatial balance under various operating conditions; Based on the temperature change relationship between the heat source area, the heat dissipation area and the room temperature area under various operating conditions, the spatial distribution characteristics of temperature transfer in the heat source area and the heat dissipation area under various operating conditions are obtained. Based on the influence of thermal balance stability indices under various operating conditions on spatial balance characteristics, the thermal balance characteristics of the pump station are obtained; the thermal balance stability indices are obtained from the dynamic stability and spatial distribution characteristics of temperature transfer; the spatial balance characteristics are obtained from the spatial balance degree at all times under various operating conditions. Based on the spatial balance level at the current moment, the thermal balance stability index and thermal balance characteristics of the current operating conditions, the degree of temperature anomaly at the current moment can be obtained.

[0005] In an exemplary embodiment, the process of obtaining the degree of spatial balance includes: Determine the first temperature difference between the heat source area and the room temperature area at each moment under each operating condition, and the second temperature difference between the room temperature area and the heat dissipation area; The degree of difference between the first temperature difference and the second temperature difference is determined to obtain the degree of spatial balance; the degree of spatial balance is inversely correlated with the degree of difference.

[0006] In an exemplary embodiment, the process of obtaining the dynamic stability of temperature transfer includes: The spatial balance sequence for each working condition is obtained from the spatial balance at each moment under each working condition. The average absolute change between adjacent data points in the spatial balance sequence is determined to obtain the temperature transfer dynamic stability; the temperature transfer dynamic stability is inversely correlated with the average absolute change.

[0007] In an exemplary embodiment, the process of obtaining the spatial distribution pattern characteristics includes: The temperature difference between the temperature of a candidate monitoring point at a candidate time under a candidate operating condition and the average temperature of the room temperature zone at the candidate time is obtained; the candidate operating condition is any operating condition, the candidate time is any time under the candidate operating condition, and the candidate monitoring point is any temperature monitoring point in the heat source area and the heat dissipation area. Determine the degree of temperature difference fluctuation at the candidate monitoring points under the candidate operating conditions; Based on the degree of temperature difference fluctuation, the spatial distribution pattern of candidate monitoring points under candidate operating conditions is obtained; the spatial distribution pattern is inversely correlated with the degree of temperature difference fluctuation. By integrating the spatial distribution patterns of all temperature monitoring points in the heat source and heat dissipation areas under candidate operating conditions, the spatial distribution pattern characteristics under candidate operating conditions are obtained.

[0008] In an exemplary embodiment, the thermal balance stability index is obtained by multiplying the temperature transfer dynamic stability and spatial distribution characteristics.

[0009] In an exemplary embodiment, the process of obtaining the thermal equilibrium characteristics includes: The thermal balance characteristics are obtained by weighting the thermal balance stability index under each working condition and averaging the spatial balance characteristics under each working condition.

[0010] In an exemplary embodiment, after obtaining the thermal balance characteristics of the pumping station, the real-time monitoring method for the ambient temperature of the pumping station based on intelligent sensors further includes: The thermal balance stability indexes for each operating condition during the monitoring period are sorted in chronological order to obtain the thermal balance stability index sequence. The average absolute change between adjacent data points in the thermal balance stability index sequence is determined to obtain the degree of fluctuation of the thermal balance stability index. The process of determining the degree of temperature anomaly at the current moment based on the spatial balance level, the thermal balance stability index of the current operating condition, and the thermal balance characteristics includes: Based on the spatial balance level at the current moment, the thermal balance stability index of the current working condition, the fluctuation level, and the thermal balance characteristics, the temperature anomaly level at the current moment is obtained.

[0011] In an exemplary embodiment, the process of obtaining the degree of temperature anomaly at the current moment includes: Determine the balance difference at the current moment, wherein the balance difference is the difference between the spatial balance degree at the current moment and the thermal balance characteristics; The degree of temperature anomaly is obtained based on the balance difference, the thermal balance stability index of the current operating condition, and the degree of fluctuation. The degree of temperature anomaly is positively correlated with the balance difference and the degree of fluctuation, and negatively correlated with the thermal balance stability index of the current operating condition.

[0012] In an exemplary embodiment, after obtaining the degree of temperature anomaly at the current moment, the real-time monitoring method for pump station ambient temperature based on intelligent sensors further includes: The current temperature anomaly level is compared with a preset temperature anomaly level threshold. If the current temperature anomaly level is greater than or equal to the preset temperature anomaly level threshold, an alarm signal for abnormal ambient temperature in the pump station is output.

[0013] In a second aspect of the present invention, a real-time monitoring system for the ambient temperature of a pumping station based on intelligent sensors is provided, comprising: a memory and a processor; the memory is connected to the processor; the memory is used to store program instructions; the processor is used to implement the above-described real-time monitoring method for the ambient temperature of a pumping station based on intelligent sensors when the program instructions are executed.

[0014] The present invention has the following beneficial effects: The present invention divides the pump station into a heat source area, a heat dissipation area, and a room temperature area. There is a close temperature transfer phenomenon between the heat source area and the heat dissipation area. Therefore, the spatial balance of temperature transfer between the heat source area and the heat dissipation area at each moment under each operating condition during the monitoring period is first determined. Based on the temperature transfer relationship between the areas, the dynamic stability and spatial distribution characteristics of temperature transfer under each operating condition are determined. Then, the thermal balance stability index is obtained from the dynamic stability and spatial distribution characteristics of temperature transfer, thereby obtaining the thermal balance characteristics of the pump station. When judging the degree of temperature anomaly at the current moment, the relevant characteristic data obtained are analyzed, which can improve the accuracy and reliability of the degree of temperature anomaly at the current moment, thereby improving the reliability and accuracy of environmental temperature monitoring of the pump station. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the pump station area division provided in one embodiment of the present invention; Figure 2 This is a flowchart of a method for real-time monitoring of the ambient temperature of a pumping station based on intelligent sensors, provided in one embodiment of the present invention. Figure 3 This is a flowchart illustrating the process of obtaining the degree of spatial balance according to an embodiment of the present invention; Figure 4 This is a flowchart illustrating the acquisition of spatial distribution pattern characteristics provided in one embodiment of the present invention. Detailed Implementation

[0016] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the specific implementation methods, structures, features, and effects of the present invention are described in detail below with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0017] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. All data and information collected in this application have been obtained with full consent.

[0018] This embodiment provides a real-time monitoring method for the ambient temperature of a pumping station based on intelligent sensors, suitable for monitoring the ambient temperature inside a pumping station. Inside the pumping station, based on the characteristics of heat generation and transfer, the overall space is divided into three areas with different thermal functions: a heat source area, a heat dissipation area, and a room temperature area. The heat source area represents the operating area of ​​power equipment, where continuously operating equipment such as motors and water pumps that generate a large amount of heat is placed, serving as the heat source. The temperature change in this area is most significant, making it the main output area of ​​heat. The heat dissipation area houses cooling equipment, such as cooling fans, ventilation ducts, and heat exchangers, and is the key area for system heat dissipation. The room temperature area is the area inside the pumping station excluding the heat source and heat dissipation areas. Located between the heat source and heat dissipation areas, at the intersection of heat conduction and airflow, it reflects the comprehensive effect of the overall ambient temperature. Figure 1 The diagram shows the division of three areas within the pump station building. The rectangular area represents the total area of ​​the pump station building, the two circular areas represent the heat source area and the heat dissipation area, respectively, and the area outside the two circular areas is the room temperature area.

[0019] During actual operation, the continuous operation of the equipment in the pump station will release a large amount of heat, forming a significant heat source area. At the same time, the cooling system, ventilation devices, and heat exchange on the structural surface will continuously dissipate heat, forming a relative heat dissipation area. Between these two areas, there is also an ambient temperature zone that is affected by a variety of factors, and its temperature changes can reflect the dynamic balance of the overall thermal state of the system.

[0020] At least one temperature monitoring point is set up in each area. It should be understood that for any given area, only one temperature monitoring point can be set up, or multiple temperature monitoring points can be set up, the specific number being flexibly determined by the size of the area. To achieve accurate sensing of the temperature distribution and dynamic changes in the pump station, temperature monitoring points can be distributed throughout the area to ensure the reliability of temperature monitoring. Each temperature monitoring point is equipped with a temperature sensor to detect the temperature at that specific point, thus forming a multi-point distributed real-time temperature monitoring network. Each temperature sensor collects temperature data at a set sampling frequency and synchronously transmits the information to the central control unit for fusion analysis. The sampling frequency of the temperature sensors is set according to actual needs, such as once per second. Figure 1 As shown, the triangles in each region represent temperature sensors.

[0021] The temperature distribution inside a pumping station is not uniform; it is influenced by a combination of factors, including equipment heating, airflow circulation, and the layout of the heat dissipation structure. Temperature differences between monitoring points at different locations do not directly reflect the absolute thermal state, but rather the spatial relationship relative to the heat source and heat dissipation path. By establishing a mapping relationship between temperature and spatial distance, the originally dispersed temperature data can be transformed into spatial thermal distribution characteristics. When it is necessary to determine temperature anomalies, understanding the thermal distribution based on spatial distance can significantly improve the physical rationality and sensitivity of temperature monitoring, avoiding misjudgments caused by relying solely on fixed temperature thresholds. Ultimately, this leads to more accurate and interpretable monitoring and assessment of the thermal dynamics inside the pumping station.

[0022] like Figure 2 As shown in the figure, the real-time monitoring method for pump station ambient temperature based on intelligent sensors provided in this embodiment includes the following steps: Step S1: Determine the degree of spatial balance of temperature transfer between the heat source area and the heat dissipation area at each moment under each operating condition during the monitoring period; Step S2: Obtain the dynamic stability of temperature transfer under each working condition by analyzing the fluctuations in the spatial balance under each working condition; Step S3: Based on the temperature change relationship between the heat source area, the heat dissipation area, and the room temperature area under each operating condition, obtain the spatial distribution characteristics of temperature transfer for the heat source area and the heat dissipation area under each operating condition. Step S4: Based on the influence of thermal balance stability index on spatial balance characteristics under various operating conditions, the thermal balance characteristics of the pump station are obtained. Step S5: Based on the spatial balance level at the current moment, the thermal balance stability index and thermal balance characteristics of the current working condition, obtain the temperature anomaly level at the current moment.

[0023] The following detailed explanation of each step, in conjunction with the accompanying drawings, is provided.

[0024] Step S1: Determine the spatial balance of temperature transfer between the heat source area and the heat dissipation area at each moment under each operating condition during the monitoring period.

[0025] First, determine the various operating conditions of the pumping station (hereinafter referred to as operating conditions). It should be understood that the operating conditions involved in this embodiment can be the conventional operating conditions of the pumping station, such as: rated operating condition, high-flow operating condition, and low-flow operating condition. Among them, the rated operating condition is the optimal operating condition, which is the operating condition determined during the design phase, with the highest efficiency and most economical operation. At this time, the pump's flow rate, head, power, and other parameters all meet the design values. The characteristics of the rated operating condition are: highest efficiency, lowest vibration and noise, most stable operation, and best cavitation performance. High-flow operating condition: The pump outlet valve is very open or fully open, the flow rate is much greater than the rated flow rate, and the head is significantly reduced. The causes of high-flow operating conditions include: actual pipeline resistance less than the design value, improper parallel operation of multiple pumps, and a surge in user water consumption. The risks may include motor overload, increased power, potential motor burnout, decreased efficiency, and increased vibration and noise. Low-flow operating condition: The pump outlet valve is very closed, the flow rate is much less than the rated flow rate, and the head is significantly increased. The causes of low flow rate operation include: low water consumption by users, excessive valve adjustment, and pipeline blockage. The risks may include increased radial force, uneven force on the impeller, shaft bending, accelerated bearing wear, and temperature rise. As less heat is carried away by the liquid, the temperature inside the pump increases, resulting in extremely low efficiency.

[0026] This embodiment pre-defines a monitoring period, the length of which is set according to actual needs, such as the past week. During this monitoring period, the operating conditions of the pumping station may not remain constant, and may involve switching between different operating conditions. For example, it may be in rated operating condition for a certain period and then in high-flow operating condition for the next period. Therefore, the various operating conditions of the pumping station within this monitoring period are determined chronologically to obtain an operating condition sequence. For example, if the operating conditions of the pumping station during this monitoring period are: rated operating condition, high-flow operating condition, rated operating condition, low-flow operating condition, and high-flow operating condition, then the operating condition sequence for this monitoring period is [rated operating condition, high-flow operating condition, rated operating condition, low-flow operating condition, high-flow operating condition].

[0027] Furthermore, based on the various operating conditions in the time sequence, the monitoring period is divided into several time periods, each representing an operating condition. Each time period includes multiple moments (since even if the switching between operating conditions is relatively frequent, there will not be a situation where a certain operating condition only exists for a moment, that is, there is no situation where a time period of a certain operating condition only contains 1 moment. If such a situation exists, it is directly determined that a serious safety accident has occurred in the pump station, and the subsequent data processing process of this embodiment will not be carried out). The temperature value is obtained once at each moment, so that multiple temperature values ​​are obtained under each operating condition.

[0028] Based on the temperature of the heat source area and the temperature of the heat dissipation area at each moment under each operating condition within the monitoring period, the spatial balance of temperature transfer between the heat source area and the heat dissipation area at each moment under each operating condition within the monitoring period is determined. In an exemplary embodiment, such as... Figure 3 As shown, the following is a specific process for obtaining the degree of spatial balance: Step S11: Determine the first temperature difference between the heat source area and the room temperature area at each moment under each operating condition, and the second temperature difference between the room temperature area and the heat dissipation area.

[0029] For ease of explanation, any operating condition within the monitoring period is defined as a candidate operating condition, and any moment within a candidate operating condition is defined as a candidate moment. Since multiple temperature sensors are installed in the heat source area, room temperature area, and heat dissipation area, each temperature sensor in the heat source area, room temperature area, and heat dissipation area will collect a temperature value once at the candidate moment.

[0030] The maximum temperature is determined from multiple temperature values ​​in the heat source region at the candidate time. This maximum temperature represents the extreme state of heat release during equipment operation at the candidate time. The average value of each temperature value in the room temperature region at the candidate time is calculated as the average temperature of the room temperature region at that time. The average temperature of the room temperature region reflects the overall thermal response level of the entire pump station space at the candidate time. To quantify the intensity of heat transfer from the heat source region to the room temperature region and the spatial temperature difference effect, the absolute value of the difference between the maximum temperature of the heat source region and the average temperature of the room temperature region at the candidate time is calculated as the first temperature difference between the heat source region and the room temperature region at the candidate time. The first temperature difference characterizes the equivalent distance (also called temperature mapping distance) in the potential energy space of the thermal field from the heat source region to the room temperature region, reflecting the efficiency of heat diffusion from the heat source region to the room temperature region and the degree of thermal coupling of the system. The larger the first temperature difference, the higher the efficiency of heat diffusion from the heat source region to the room temperature region and the higher the degree of thermal coupling.

[0031] The minimum temperature is determined from multiple temperature values ​​in the heat dissipation zone at the candidate time. The minimum temperature represents the cold end state of the heat output end at the candidate time, while the average temperature of the room temperature zone reflects the average thermal potential of the overall thermal environment inside the pump station.

[0032] The absolute value of the difference between the average temperature of the room temperature zone and the minimum temperature of the heat dissipation zone at the candidate time is calculated as the second temperature difference between the room temperature zone and the heat dissipation zone at the candidate time. This second temperature difference characterizes the thermal potential difference formed during the flow of heat from the room temperature zone to the heat dissipation zone, reflecting the magnitude of the driving force for heat conduction or removal. The second temperature difference can also characterize the equivalent distance in the thermal potential energy space from the room temperature zone to the heat dissipation zone, thus characterizing the strength of the heat diffusion path from the interior to the exterior and the effectiveness of the heat dissipation channel. A larger second temperature difference indicates a stronger heat diffusion path from the interior to the exterior and a more effective heat dissipation channel.

[0033] Step S12: Determine the degree of difference between the first temperature difference and the second temperature difference to obtain the degree of spatial balance.

[0034] The heat distribution in the pump station building is constantly and dynamically adjusted in response to changes in equipment operating load, ambient temperature, ventilation volume, and heat dissipation efficiency. Although the heat flow distribution fluctuates in both time and space, a temperature equilibrium point is still formed inside the pump station building, which is determined by the release of heat sources and the heat dissipation effect. The heat input and output tend to be relatively stable, and the whole building is in a thermally stable operating state.

[0035] The temperature mapping distance between the heat source area and the room temperature area inside the pump station (i.e., the first temperature difference) and the temperature mapping distance between the heat dissipation area and the room temperature area (i.e., the second temperature difference) together reflect the heat transfer path from the generation end to the release end inside the pump station. The degree of difference between the first and second temperature differences at the candidate time is determined; here, the degree of difference is the absolute value of the difference between the first and second temperature differences. The degree of difference between the first and second temperature differences reflects the relative distance difference in heat transfer, attenuation, and equilibrium in space. The smaller this degree of difference, the more balanced the heat transfer process of the system, and the higher the spatial balance of temperature transfer between the heat source area and the heat dissipation area at the candidate time. Therefore, the degree of spatial balance is inversely correlated with this degree of difference. Based on the above logical analysis, the following is a specific calculation method for the degree of spatial balance of temperature transfer between the heat source area and the heat dissipation area at the candidate time: ; in, This indicates the degree of spatial balance in temperature transfer between the heat source area and the heat dissipation area at the candidate moment. This indicates the first temperature difference at the candidate time point; This represents the second temperature difference at the candidate time point; This represents an exponential function with the natural constant as its base. This indicates the degree of difference between the first and second temperature differences at the candidate time points. Indicates to The negative correlation normalization.

[0036] In this embodiment of the invention, since the input to the natural exponential function (i.e., the exp function) must satisfy the dimensionless principle, the calculation of the aforementioned spatial balance degree ( Before that, we can examine its independent variables (including the first temperature difference). ) and the difference between the second and third temperatures ( Perform the dimensionless operation.

[0037] Similarly, the spatial distribution pattern is shown in the following calculations ( Before that, the degree of fluctuation of its independent variable, temperature difference, can also be considered. Perform the operation to eliminate dimensions.

[0038] Using the above process, the spatial balance of temperature transfer between the heat source area and the heat dissipation area at each moment under each operating condition during the monitoring period is obtained.

[0039] Step S2: Obtain the dynamic stability of temperature transfer under each working condition by analyzing the fluctuations in the spatial balance under each working condition.

[0040] The heat distribution inside the pump station fluctuates constantly with equipment load, ventilation conditions, and ambient temperature. For candidate operating conditions, temperature monitoring at a single moment is insufficient to reflect whether the pump station is in a steady state or has potential anomalies. To quantify the pump station's ability to maintain thermal balance and the pattern of thermal state changes during actual operation, the dynamic stability of temperature transfer in the pump station under candidate operating conditions can be obtained by analyzing the fluctuation of the spatial balance of temperature transfer between the heat source area and the heat dissipation area over time.

[0041] In an exemplary embodiment, the spatial balance degree at each moment under the candidate working condition is obtained and arranged in chronological order to obtain a sequence of spatial balance degrees of the candidate working conditions.

[0042] Then, the average absolute change between adjacent data points in the spatial balance sequence of the candidate operating conditions is obtained. The average absolute change characterizes the fluctuation of the spatial balance sequence of the candidate operating conditions. The larger the average absolute change, the higher the fluctuation of the spatial balance sequence of the candidate operating conditions, and the worse the dynamic stability of temperature transfer under the candidate operating conditions. Therefore, the dynamic stability of temperature transfer is inversely correlated with the average absolute change. Based on the above logic, a specific calculation method for the dynamic stability of temperature transfer is given below: ; in, It indicates that the pump station building is in the first Dynamic stability of temperature transfer under various operating conditions; Indicates the first The duration of the first working condition (i.e., the time length of the first working condition) (Number of time points included within a time period for each working condition). Indicates the first The first working condition The degree of spatial balance at any given moment; Indicates the first The first working condition The degree of spatial balance at any given moment.

[0043] Step S3: Based on the temperature change relationship between the heat source area, the heat dissipation area and the room temperature area under each operating condition, obtain the spatial distribution characteristics of temperature transfer for the heat source area and the heat dissipation area under each operating condition.

[0044] For candidate operating conditions, based on the temperature change relationship between the heat source region, heat dissipation region, and room temperature region, the spatial distribution characteristics of temperature transfer in the heat source region and heat dissipation region under the candidate operating conditions are obtained. In an exemplary embodiment, such as... Figure 4 As shown, the following is a specific process for obtaining spatial distribution pattern characteristics: Step S31: Obtain the temperature difference between the temperature of the candidate monitoring point at the candidate time under the candidate operating condition and the average temperature of the room temperature zone at the candidate time.

[0045] When the temperature difference between a certain temperature monitoring point in the heat source area or heat dissipation area of ​​the pump station and the room temperature area remains stable over time, it indicates that the heat transfer process at that temperature monitoring point is relatively balanced. By continuously monitoring the temperature difference between each temperature monitoring point and the room temperature area, the intensity and stability of heat transfer at each temperature monitoring point in space can be quantified, thereby reflecting the spatial distribution characteristics of heat inside the pump station under different operating conditions.

[0046] Since multiple temperature monitoring points are set in both the heat source area and the heat dissipation area, for ease of explanation, any one of the temperature monitoring points in the heat source area and the heat dissipation area will be set as a candidate monitoring point.

[0047] Obtain the average temperature of the room temperature zone at the candidate time of the candidate operating condition, and obtain the temperature of the candidate monitoring point at the candidate time of the candidate operating condition. Then, obtain the temperature difference between the temperature of the candidate monitoring point at the candidate time of the candidate operating condition and the average temperature of the room temperature zone at the candidate time; the temperature difference here is the absolute value of the difference.

[0048] Step S32: Determine the degree of temperature difference fluctuation at the candidate monitoring points under the candidate operating conditions.

[0049] Based on step S31, the temperature difference of the candidate monitoring point at each time under the candidate operating condition is obtained. Then, based on the temperature difference of the candidate monitoring point at each time under the candidate operating condition, the degree of temperature difference fluctuation of the candidate monitoring point under the candidate operating condition is obtained. The degree of temperature difference fluctuation characterizes the fluctuation of the temperature difference of the candidate monitoring point at each time under the candidate operating condition. In an exemplary embodiment, a specific calculation method for the degree of temperature difference fluctuation is given below: ; ; in, Indicates the first The temperature monitoring point at the first The degree of temperature variation under different operating conditions; Indicates the first The temperature monitoring point at the first The first working condition The temperature at that moment; Indicates the first The first working condition The average temperature of the room temperature zone at each time point; Indicates the first The temperature monitoring point at the first The first working condition The temperature at time and the The temperature difference of the average temperature of the room temperature zone at each time point; Indicates the first The temperature monitoring point at the first The average temperature difference at various times under each operating condition. Alternatively, the degree of temperature difference fluctuation can be the standard deviation of the temperature difference.

[0050] Step S33: Based on the degree of temperature difference fluctuation, obtain the spatial distribution pattern of candidate monitoring points under candidate working conditions.

[0051] The higher the temperature difference fluctuation of the candidate monitoring points under the candidate operating conditions, the more drastic the temperature difference between the candidate monitoring points and the room temperature zone fluctuates over time. This indicates a more unbalanced heat transfer process at the candidate monitoring points under the candidate operating conditions, resulting in a worse spatial distribution pattern during temperature transfer. Therefore, the spatial distribution pattern is inversely correlated with the degree of temperature difference fluctuation. In an exemplary embodiment, based on the above logical analysis, a specific calculation method for the spatial distribution pattern is given below: ; in, Indicates the first The temperature monitoring point at the first Spatial distribution patterns under various working conditions.

[0052] Step S34: Integrate the spatial distribution patterns of all temperature monitoring points in the heat source area and heat dissipation area under the candidate operating conditions to obtain the spatial distribution pattern characteristics under the candidate operating conditions.

[0053] Since the heat source area and heat dissipation area include multiple temperature monitoring points, step S33 can obtain the spatial distribution pattern of each temperature monitoring point in the heat source area and heat dissipation area under the candidate operating condition. Then, by fusing the spatial distribution patterns of all temperature monitoring points in the heat source area and heat dissipation area under the candidate operating condition, the spatial distribution pattern characteristics under the candidate operating condition are obtained. In an exemplary embodiment, the average value of the spatial distribution pattern of all temperature monitoring points in the heat source area and heat dissipation area under the candidate operating condition is calculated as the spatial distribution pattern characteristics under the candidate operating condition. The calculation formula is as follows: ; in, Indicates the first Spatial distribution patterns under various working conditions This indicates the number of temperature monitoring points in the heat source area and the heat dissipation area.

[0054] Step S4: Based on the influence of thermal balance stability index on spatial balance characteristics under various operating conditions, the thermal balance characteristics of the pump station are obtained.

[0055] First, the spatial balance degree characteristics under the candidate operating condition are obtained based on the spatial balance degree at each time under the candidate operating condition. In an exemplary embodiment, the average value of the spatial balance degree at each time under the candidate operating condition is calculated, and the result is used as the spatial balance degree characteristics under the candidate operating condition.

[0056] Temperature transfer dynamic stability reflects the continuity and fluctuation control capability of heat transfer over time, while spatial distribution characteristics reflect the balance and spatial coupling characteristics of heat transfer at temperature monitoring points in the heat source and heat dissipation areas. When both are at a high level, the overall energy flow of the pump station reaches steady-state equilibrium, the thermal equilibrium point is stable, and the thermal environment of the pump station is in a controllable and reliable state. Therefore, the thermal balance stability index under candidate operating conditions is obtained from the temperature transfer dynamic stability and spatial distribution characteristics under candidate operating conditions. In an exemplary embodiment, the thermal balance stability index under candidate operating conditions is obtained by multiplying the temperature transfer dynamic stability and spatial distribution characteristics under candidate operating conditions. Thus, the thermal balance stability index under each operating condition is obtained.

[0057] The internal thermal balance of a pumping station exhibits different thermal balance stability indices under different operating conditions. A high thermal balance stability index indicates smooth energy transfer between the heat source and heat dissipation areas, a stable thermal balance point, and a relatively continuous balance between heat input and output. This condition should be given higher weight when analyzing thermal balance characteristics to truly reflect the long-term steady-state characteristics of the pumping station.

[0058] Based on the influence of thermal balance stability indices under various operating conditions on the spatial balance characteristics under the corresponding operating conditions, the thermal balance characteristics of the pumping station with respect to ambient temperature are obtained, referred to as the thermal balance characteristics of the pumping station. In an exemplary embodiment, the spatial balance characteristics under various operating conditions are weighted and averaged using the thermal balance stability indices as weights. The result is the thermal balance characteristics of the pumping station, calculated as follows: ; in, This indicates the heat balance characteristics of the pump station building; This indicates the number of operating conditions in the operating condition sequence during the monitoring period; Indicates the first Thermal balance stability index under various operating conditions; Indicates the first Characteristics of spatial balance under various working conditions.

[0059] Temperature changes in pump station buildings often exhibit time-cumulative and condition-dependent characteristics. When assessing the degree of temperature anomaly at a given moment, relying solely on the temperature distribution at a single instant cannot fully reflect whether the pump station is operating stably. By comparing the thermal balance stability indicators of the current moment with those of historical operating conditions within the monitoring period, it is possible to effectively identify whether heat conduction paths have shifted, heat dissipation efficiency has decreased, or local heat sources have abnormally increased. Thermal balance analysis of the pump station can determine whether temperature changes originate from normal operating condition fluctuations or thermal imbalances caused by potential faults. For example, when the balance state deviates or the temperature gradient increases abnormally, it indicates that the thermal dynamic structure of the pump station has deviated from normal, posing risks such as overheating or ventilation obstruction. By comparing and analyzing the thermal balance state of the pump station, dynamic trend judgment and early identification of anomalies in the thermal state can be achieved, thereby improving the predictability and proactive protection capabilities of temperature monitoring and ensuring that the pump station maintains a safe and stable thermal balance in complex operating environments.

[0060] In an exemplary embodiment, after obtaining the heat balance characteristics of the pump station, this embodiment sorts the heat balance stability indicators of each operating condition within the monitoring period according to time sequence to obtain a heat balance stability indicator sequence for the monitoring period. Then, the average absolute change between adjacent data points in the heat balance stability indicator sequence is determined to obtain the fluctuation degree of the heat balance stability indicators within the monitoring period. A specific calculation method is given below: ; in, This indicates the degree of fluctuation in the thermal balance stability index during the monitoring period; Indicates the first Thermal balance stability index under various operating conditions.

[0061] Step S5: Based on the spatial balance level at the current moment, the thermal balance stability index and thermal balance characteristics of the current working condition, obtain the temperature anomaly level at the current moment.

[0062] It should be understood that the monitoring period is a historical period, and the various operating conditions within the monitoring period are the various historical operating conditions of the pump station. In this embodiment, the degree of temperature anomaly at the current moment is obtained by combining the relevant characteristic data obtained from the historical operating conditions with the data information at the current moment.

[0063] Using the spatial balance calculation method described above, the spatial balance at the current moment is obtained. It should be understood that the temperature values ​​involved in the calculation of the spatial balance at the current moment are all relevant temperature values ​​at that moment.

[0064] Based on the current operating status of the pump station, the current operating condition is determined, thereby establishing the thermal balance stability index for that condition. It should be understood that the thermal balance stability index for the current operating condition is obtained from the thermal balance stability indices for the same operating condition within the monitoring period. Since the current operating condition may occur more than once within the monitoring period, taking an operating condition sequence of [rated operating condition, high flow rate operating condition, rated operating condition, low flow rate operating condition, high flow rate operating condition] as an example, where the high flow rate operating condition occurs twice, each high flow rate operating condition corresponds to a thermal balance stability index. Therefore, the average of the thermal balance stability indices for each occurrence of the current operating condition within the monitoring period is calculated as the thermal balance stability index for the current operating condition. For example, if the current operating condition is a high flow rate operating condition, and since this condition occurs twice within the monitoring period, the average of the thermal balance stability indices for these two high flow rate operating conditions is calculated as the thermal balance stability index for the current operating condition.

[0065] This embodiment can determine the degree of temperature anomaly at the current moment based solely on the spatial balance level, the thermal balance stability index of the current operating condition, and the thermal balance characteristics.

[0066] The thermal balance characteristics of the pump station represent its overall thermal balance state; therefore, they are used as a benchmark. The difference between the spatial balance level and the thermal balance characteristics at the current moment is defined as the balance difference at that moment. The balance difference is the absolute value of the difference between the spatial balance level and the thermal balance characteristics at the current moment. The greater the difference between the spatial balance level and the thermal balance characteristics at the current moment, the more the spatial balance state of heat transfer deviates from the benchmark, and the higher the degree of temperature anomaly at that moment. Therefore, the degree of temperature anomaly at the current moment is positively correlated with the balance difference at that moment.

[0067] The higher the thermal balance stability index of the current operating condition, the more stable the thermal balance of the pump station is at the current moment. This means that the deviation of the ambient temperature balance state of the pump station is smaller at the current moment, and the less likely there is an abnormal state. The lower the degree of temperature anomaly at the current moment, the lower the degree of temperature anomaly at the current moment. Therefore, the degree of temperature anomaly at the current moment is inversely correlated with the thermal balance stability index of the current operating condition.

[0068] Based on the above logic, the following is a specific method for calculating the degree of temperature anomaly at the current moment: ; in, Indicates the degree of temperature anomaly at the current moment; This indicates the thermal balance stability index of the current operating condition. It indicates the degree of spatial balance at the current moment.

[0069] As a better implementation method, in addition to the three parameters mentioned above, the fluctuation degree of the thermal balance stability index during the monitoring period is also included in the calculation of the temperature anomaly level at the current moment. The fluctuation degree of the thermal balance stability index during the monitoring period reflects the overall stability of the thermal balance stability index of the pump station during continuous operation. The greater the fluctuation degree, the more unstable the thermal balance stability index, which will have a certain impact on the temperature anomaly level at the current moment. Specifically, the greater the fluctuation degree of the thermal balance stability index, the more likely it is to cause a temperature anomaly at the current moment, and thus the greater the temperature anomaly level at the current moment. The temperature anomaly level at the current moment is positively correlated with the fluctuation degree of the thermal balance stability index.

[0070] Based on the above logic, the following is another specific method for calculating the degree of temperature anomaly at the current moment: .

[0071] Using the above process, the degree of temperature anomaly in the pumping station can be monitored in real time at every moment. By continuously acquiring the degree of temperature anomaly at each moment, the changing trend of the internal temperature field of the pumping station can be tracked in real time. When the degree of temperature anomaly continues to rise, it indicates that heat is accumulating inside the pumping station and heat dissipation is insufficient; when the degree of temperature anomaly gradually decreases, it indicates that the thermal balance of the pumping station is gradually being restored and the temperature is stabilizing, which helps to identify potential thermal imbalance risks in advance.

[0072] In an exemplary embodiment, a preset temperature anomaly threshold is used to compare the temperature anomaly level at various times to determine whether the temperature anomaly level at each time is greater than or equal to the preset threshold, thereby determining whether an anomaly alarm should be triggered. The preset temperature anomaly level ranges from 0 to 1, and the specific value is set according to actual judgment needs; this embodiment uses 0.5 as an example. Taking the temperature anomaly level at the current time as an example, the current temperature anomaly level is compared with the preset threshold. When the current temperature anomaly level is greater than or equal to the preset threshold, an alarm signal for abnormal ambient temperature in the pumping station is output to indicate that there is an abnormal fluctuation or imbalance in the heat transfer process of the pumping station at the current time. Based on the alarm signal for abnormal ambient temperature in the pumping station, staff can access relevant equipment data in the pumping station, such as fan speed, equipment power, and ventilation volume, to comprehensively determine the type of anomaly and its possible causes.

[0073] This embodiment also provides a real-time monitoring system for the ambient temperature of a pumping station based on intelligent sensors, including: a memory and a processor; the memory is connected to the processor, and the memory is used to store program instructions; the processor is used to implement the steps in the above-described embodiment of the real-time monitoring method for the ambient temperature of a pumping station based on intelligent sensors when the program instructions are executed.

[0074] In one exemplary embodiment, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps described in the embodiment of the real-time monitoring method for the ambient temperature of a pumping station based on intelligent sensors.

[0075] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0076] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method for real-time monitoring of ambient temperature in a pumping station based on intelligent sensors, characterized in that, include: Determine the degree of spatial balance of temperature transfer between the heat source area and the heat dissipation area at each moment under each operating condition during the monitoring period; The pump station building is divided into a heat source area, a heat dissipation area, and a room temperature area; The dynamic stability of temperature transfer under various operating conditions is obtained from the fluctuation of spatial balance under various operating conditions; Based on the temperature change relationship between the heat source area, the heat dissipation area and the room temperature area under various operating conditions, the spatial distribution characteristics of temperature transfer in the heat source area and the heat dissipation area under various operating conditions are obtained. Based on the influence of thermal balance stability indices under various operating conditions on spatial balance characteristics, the thermal balance characteristics of the pump station are obtained; the thermal balance stability indices are obtained from the dynamic stability and spatial distribution characteristics of temperature transfer; the spatial balance characteristics are obtained from the spatial balance degree at all times under various operating conditions. Based on the spatial balance level at the current moment, the thermal balance stability index and thermal balance characteristics of the current operating conditions, the degree of temperature anomaly at the current moment can be obtained.

2. The method for real-time monitoring of pump station ambient temperature based on intelligent sensors as described in claim 1, characterized in that, The process of obtaining the degree of spatial balance includes: Determine the first temperature difference between the heat source area and the room temperature area at each moment under each operating condition, and the second temperature difference between the room temperature area and the heat dissipation area; The degree of difference between the first temperature difference and the second temperature difference is determined to obtain the degree of spatial balance; the degree of spatial balance is inversely correlated with the degree of difference.

3. The method for real-time monitoring of pump station ambient temperature based on intelligent sensors as described in claim 1, characterized in that, The process of obtaining the dynamic stability of temperature transfer includes: The spatial balance sequence for each working condition is obtained from the spatial balance at each moment under each working condition. The average absolute change between adjacent data points in the spatial balance sequence is determined to obtain the temperature transfer dynamic stability; the temperature transfer dynamic stability is inversely correlated with the average absolute change.

4. The method for real-time monitoring of pump station ambient temperature based on intelligent sensors as described in claim 1, characterized in that, The process of obtaining the spatial distribution pattern characteristics includes: The temperature difference between the temperature of a candidate monitoring point at a candidate time under a candidate operating condition and the average temperature of the room temperature zone at the candidate time is obtained; the candidate operating condition is any operating condition, the candidate time is any time under the candidate operating condition, and the candidate monitoring point is any temperature monitoring point in the heat source area and the heat dissipation area. Determine the degree of temperature difference fluctuation at the candidate monitoring points under the candidate operating conditions; Based on the degree of temperature difference fluctuation, the spatial distribution pattern of candidate monitoring points under candidate operating conditions is obtained; the spatial distribution pattern is inversely correlated with the degree of temperature difference fluctuation. By integrating the spatial distribution patterns of all temperature monitoring points in the heat source and heat dissipation areas under candidate operating conditions, the spatial distribution pattern characteristics under candidate operating conditions are obtained.

5. The method for real-time monitoring of pump station ambient temperature based on intelligent sensors as described in claim 1, characterized in that, The thermal balance stability index is obtained by multiplying the temperature transfer dynamic stability and spatial distribution characteristics.

6. The method for real-time monitoring of pump station ambient temperature based on intelligent sensors as described in claim 1, characterized in that, The process of obtaining the thermal equilibrium characteristics includes: The thermal balance characteristics are obtained by weighting the thermal balance stability index under each working condition and averaging the spatial balance characteristics under each working condition.

7. The method for real-time monitoring of pump station ambient temperature based on intelligent sensors as described in claim 1, characterized in that, After obtaining the thermal balance characteristics of the pumping station, the real-time monitoring method for the ambient temperature of the pumping station based on intelligent sensors further includes: The thermal balance stability indexes for each operating condition during the monitoring period are sorted in chronological order to obtain the thermal balance stability index sequence. The average absolute change between adjacent data points in the thermal balance stability index sequence is determined to obtain the degree of fluctuation of the thermal balance stability index. The process of determining the degree of temperature anomaly at the current moment based on the spatial balance level, the thermal balance stability index of the current operating condition, and the thermal balance characteristics includes: Based on the spatial balance level at the current moment, the thermal balance stability index of the current working condition, the fluctuation level, and the thermal balance characteristics, the temperature anomaly level at the current moment is obtained.

8. The method for real-time monitoring of pump station ambient temperature based on intelligent sensors as described in claim 7, characterized in that, The process of obtaining the degree of temperature anomaly at the current moment includes: Determine the balance difference at the current moment, wherein the balance difference is the difference between the spatial balance degree at the current moment and the thermal balance characteristics; The degree of temperature anomaly is obtained based on the balance difference, the thermal balance stability index of the current operating condition, and the degree of fluctuation. The degree of temperature anomaly is positively correlated with the balance difference and the degree of fluctuation, and negatively correlated with the thermal balance stability index of the current operating condition.

9. The method for real-time monitoring of pump station ambient temperature based on intelligent sensors as described in claim 1, characterized in that, After obtaining the degree of temperature anomaly at the current moment, the real-time monitoring method for the ambient temperature of the pumping station based on intelligent sensors further includes: The current temperature anomaly level is compared with a preset temperature anomaly level threshold. If the current temperature anomaly level is greater than or equal to the preset temperature anomaly level threshold, an alarm signal for abnormal ambient temperature in the pump station is output.

10. A real-time monitoring system for the ambient temperature of a pumping station based on intelligent sensors, characterized in that it includes: Memory and processor; The memory is connected to the processor; The memory is used to store program instructions; The processor is configured to implement, when program instructions are executed, the method for real-time monitoring of pump station ambient temperature based on intelligent sensors as described in any one of claims 1-9.

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