A temperature sensing method and terminal for a protective chamber based on digital twins

Abstract

The present invention discloses a temperature sensing method and terminal for a protection chamber based on digital twins, which obtains temperature parameter data of reference points inside and outside the protection chamber, calculates a first change curve of indoor and outdoor temperatures, constructs a temperature distribution physical model according to the equipment parameters of the protection chamber, calculates the error coefficient of the temperature distribution physical model, and corrects the output data of the temperature distribution physical model to ensure accurate output of temperature data of the entire chamber space; then, based on the first change curve and the normal operating temperature threshold of the equipment in the chamber without air conditioning, an air conditioning start-up and shutdown plan for the protection chamber under different outdoor temperatures is formulated, thereby solving the problem that the existing online monitoring system cannot perceive the temperature changes in the spatial range of the substation protection chamber as a whole.

Description

Technical Field

[0001] The present invention relates to the technical field of substation monitoring, and in particular to a temperature sensing method and terminal for a protection chamber based on digital twins. Background Art

[0002] The temperature of a substation's protection chamber directly impacts the operating conditions of its secondary equipment and is crucial for the stable operation of the power grid. However, current real-time sensor monitoring methods only capture the temperature at the sensor's location, failing to capture the overall temperature distribution within the chamber. This is particularly true for high-heat-generating equipment like chargers. Using sensor data as the overall chamber temperature can lead to serious misjudgments, posing a threat to the grid's stable operation. With the advancement of intelligent and lean substations, there is an urgent need for methods that can sense the overall temperature of the substation's protection chamber.

[0003] Therefore, a technology is needed to realize the perception of the overall spatial temperature of the substation protection room. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a temperature sensing method and terminal for a protection chamber based on digital twins, which can simulate and analyze the temperature situation changes in the entire space of the chamber.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] A temperature sensing method for a protective chamber based on digital twins includes the following steps:

[0007] Acquire temperature parameter data of reference points inside and outside the protection chamber collected by the temperature sensor, and calculate a first variation curve of the indoor and outdoor temperatures;

[0008] Construct a temperature distribution physical model based on the equipment parameters of the protection chamber;

[0009] Calculating an error coefficient of the temperature distribution physical model and correcting output data of the temperature distribution physical model;

[0010] According to the first change curve and the normal operating temperature threshold of the equipment in the small room without air conditioning, an air conditioning activation and deactivation plan for the protection room under different outdoor temperatures is formulated.

[0011] In order to solve the above technical problems, another technical solution adopted by the present invention is:

[0012] A temperature sensing terminal for a protection chamber based on digital twins includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the temperature sensing method for a protection chamber based on digital twins is implemented.

[0013] The beneficial effects of the present invention are: obtaining temperature parameter data of reference points inside and outside the protection chamber, calculating the first change curve of indoor and outdoor temperatures, constructing a temperature distribution physical model according to the equipment parameters of the protection chamber, calculating the error coefficient of the temperature distribution physical model, and correcting the output data of the temperature distribution physical model to ensure accurate output of temperature data of the entire space of the chamber; then, according to the first change curve and the normal operating temperature threshold of the equipment in the chamber under no air-conditioning conditions, an air-conditioning startup and shutdown plan for the protection chamber under different outdoor temperatures is formulated, thereby solving the problem that the existing online monitoring system cannot perceive the temperature changes in the spatial range of the substation protection chamber as a whole. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a flow chart of a temperature sensing method for a protection chamber based on digital twins according to an embodiment of the present invention;

[0015] Figure 2 This is a schematic diagram of a temperature sensing terminal for a protection chamber based on a digital twin according to an embodiment of the present invention;

[0016] Figure 3 A flowchart of a method for specifying an air conditioning activation and deactivation strategy according to an embodiment of the present invention;

[0017] Description of labels:

[0018] 1. A temperature sensing terminal for a protective chamber based on digital twins; 2. Memory; 3. Processor. DETAILED DESCRIPTION

[0019] To illustrate the technical content, achieved objectives and effects of the present invention in detail, the following description is given in conjunction with the embodiments and accompanying drawings.

[0020] Please refer to Figure 1 , an embodiment of the present invention provides a temperature sensing method for a protection chamber based on digital twins, comprising the steps of:

[0021] Acquire temperature parameter data of reference points inside and outside the protection chamber collected by the temperature sensor, and calculate a first variation curve of the indoor and outdoor temperatures;

[0022] Construct a temperature distribution physical model based on the equipment parameters of the protection chamber;

[0023] Calculating an error coefficient of the temperature distribution physical model and correcting output data of the temperature distribution physical model;

[0024] According to the first change curve and the normal operating temperature threshold of the equipment in the small room without air conditioning, an air conditioning startup and shutdown plan for the protection room at different outdoor temperatures is formulated.

[0025] From the above description, it can be seen that the beneficial effects of the present invention are: obtaining the temperature parameter data of the reference points inside and outside the protection chamber, and calculating the first change curve of the indoor and outdoor temperatures, constructing a temperature distribution physical model according to the equipment parameters of the protection chamber, calculating the error coefficient of the temperature distribution physical model, and correcting the output data of the temperature distribution physical model to ensure accurate output of the temperature data of the entire space of the chamber; then, according to the first change curve and the normal operating temperature threshold of the equipment in the chamber under no air-conditioning conditions, an air-conditioning start-up and shutdown plan for the protection chamber under different outdoor temperatures is formulated, thereby solving the problem that the existing online monitoring system cannot perceive the temperature changes in the spatial range of the substation protection chamber as a whole.

[0026] Furthermore, the step of acquiring temperature parameter data of reference points inside and outside the protection chamber collected by the temperature sensor and calculating a first variation curve of the indoor and outdoor temperatures includes:

[0027] Obtaining first temperature parameter data of a reference point on the wall of the protection chamber and second temperature parameter data of an outdoor reference point within a preset time;

[0028] The first temperature parameter data and the second temperature parameter data are fitted to obtain a first variation curve of indoor and outdoor temperatures.

[0029] From the above description, it can be seen that by fitting the change curve of indoor and outdoor temperatures, it is convenient to formulate a reasonable air conditioning startup and shutdown plan for the protection room in the future.

[0030] Furthermore, constructing a temperature distribution physical model according to the equipment parameters of the protection chamber includes:

[0031] Collecting fine-grained equipment parameters of the protection chamber, including building size parameters, screen cabinet parameters, and temperature control parameters;

[0032] Using the fine-grained equipment parameters of the protection chamber, a digital twin temperature distribution physical model is established for the protection chamber.

[0033] Furthermore, using the fine-grained equipment parameters of the protection chamber, establishing a temperature distribution physical model of the digital twin for the protection chamber includes:

[0034] Based on the building size parameters, a digital twin is performed to establish a proportional simulation model of the protection room without equipment to obtain a first model;

[0035] Based on the panel cabinet parameters and temperature control parameters, simulation models of the panel cabinet and the air conditioner are sequentially configured in the first model to obtain a second model;

[0036] The heating conditions and ventilation conditions of each device in the second model are calculated, and the temperature distribution physical model of the protection chamber is obtained by adjusting the heating conditions and ventilation conditions in the second model.

[0037] From the above description, it can be seen that establishing a digital twin temperature distribution physical model for the compartment facilitates the subsequent overall perception of temperature changes in the substation protection compartment space.

[0038] Furthermore, calculating the error coefficient of the temperature distribution physical model and correcting the output data of the temperature distribution physical model includes:

[0039] Selecting temperature parameter data of any indoor reference point of the protection chamber and inputting the data into the temperature distribution physical model to obtain simulated temperature values ​​of other indoor reference points;

[0040] Calculate the error coefficient based on the simulated temperature values ​​of other indoor reference points and the temperature parameter data of other indoor reference points;

[0041] The output data of the temperature distribution physical model is corrected using the error coefficient.

[0042] From the above description, it can be seen that the error coefficient of the temperature distribution physical model can be calculated through the theoretical temperature value and the temperature parameter data of the actual reference point, thereby improving the accuracy of the output temperature.

[0043] Furthermore, based on the first variation curve and the normal operating temperature threshold of the equipment in the small room without air conditioning, formulating the air conditioning activation and deactivation plan for the protection room at different outdoor temperatures includes:

[0044] By adjusting the initial conditions of the protection chamber wall reference point, the indoor maximum temperature position in the physical model of the chamber temperature distribution in the non-air-conditioning state is calculated, and the maximum temperature position is multiplied by the error coefficient to obtain the indoor maximum temperature correction value in the non-air-conditioning state, and a second variation curve of the independent variable wall reference point and the indoor maximum temperature correction value is constructed by fitting;

[0045] Extracting the indoor maximum temperature correction value in the second variation curve as the independent variable wall reference point temperature when the room interior is at the maximum allowable operating temperature as the wall reference point temperature threshold of the room without air conditioning;

[0046] Calculate the maximum outdoor ambient temperature when the temperature threshold of the wall reference point of the room without air conditioning is reached through the first variation curve;

[0047] Based on the outdoor ambient temperature when the reference point temperature threshold of the wall of the non-air-conditioned room is reached, an air-conditioning activation and deactivation strategy for the protected room is constructed.

[0048] Furthermore, the air conditioning activation and deactivation strategy for the protection room is constructed based on the outdoor ambient temperature when the temperature threshold of the wall surface reference point of the non-air-conditioned room is reached. The strategy includes:

[0049] When the external ambient temperature under certain weather conditions is lower than the maximum external ambient temperature of that weather type, the air conditioning operation of the cabin can be stopped;

[0050] When the external ambient temperature in a certain weather is higher than or equal to the maximum external ambient temperature of that weather type, the air conditioner in the small room should be put into operation.

[0051] From the above description, we can see that a change curve between the independent variable wall reference point and the indoor maximum temperature correction value is constructed, and the maximum temperature correction value in the curve is used as the threshold. In order to combine the threshold to obtain the air conditioning activation and deactivation plan, the intelligent room temperature perception is realized.

[0052] Please refer to Figure 2 Another embodiment of the present invention provides a temperature sensing terminal for a protection chamber based on digital twins, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the above-mentioned temperature sensing method for a protection chamber based on digital twins is implemented.

[0053] The temperature sensing method and terminal of the protection chamber based on digital twin of the present invention are applicable to the overall spatial temperature sensing of the protection chamber of the substation. The following is an explanation through specific implementation methods:

[0054] Example 1

[0055] Please refer to Figure 1 , a temperature sensing method for a protective chamber based on digital twins, comprising the steps of:

[0056] S1. Obtain temperature parameter data of reference points inside and outside the protection chamber collected by a temperature sensor, and calculate a first variation curve of the indoor and outdoor temperatures.

[0057] S11, obtaining first temperature parameter data of a reference point on the wall of the protection chamber and second temperature parameter data of an outdoor reference point within a preset time.

[0058] Specifically, based on the temperature sensors currently installed in the remote auxiliary monitoring system in the substation protection room as wall reference points, the real temperature parameter data of two or more protection room wall reference points with a time granularity no greater than hourly and a time span no less than 1 month and the real temperature parameter data of the outdoor reference points in the same period are extracted through the data output interface of the remote auxiliary monitoring system.

[0059] S12. Fit the first temperature parameter data and the second temperature parameter data to obtain a first variation curve of indoor and outdoor temperatures.

[0060] Specifically, based on the real temperature parameter data of the protection chamber wall reference point and the real temperature parameter data of the outdoor reference point during the same period, the correlation between the two is fitted to obtain the indoor temperature-outdoor ambient temperature change curve, that is, the first change curve.

[0061] S2. Construct a temperature distribution physical model based on the equipment parameters of the protection chamber.

[0062] S21. Collect fine-grained equipment parameters of the protection room, where the fine-grained equipment parameters include building size parameters, screen cabinet parameters, and temperature control parameters.

[0063] In this embodiment, the architectural size parameters of the small room include wall size, roof slope, indoor volume and wall material; the panel cabinet parameters include panel cabinet type, panel cabinet layout distribution, panel cabinet size, number of chargers and heating power; the temperature control parameters include air conditioning layout, cooling power, number of air conditioners and air conditioning size.

[0064] S22. Use the fine-grained equipment parameters of the protection chamber to establish a digital twin temperature distribution physical model for the protection chamber.

[0065] S221. Perform digital twinning based on the building size parameters to establish a proportional simulation model of the protection room without equipment to obtain a first model.

[0066] Specifically, based on the building size parameters of the cell, digital twinning is performed on the finite element simulation software according to the requirements of the design drawings to construct a proportional and realistic simulation model of the protection cell without equipment.

[0067] S222. Based on the panel cabinet parameters and temperature control parameters, configure simulation models of the panel cabinet and the air conditioner in the first model in sequence to obtain a second model.

[0068] Specifically, based on the panel cabinet parameters and temperature control parameters, the corresponding panel cabinet and air conditioning real simulation models are sequentially configured in the proportional real simulation model of the protection room.

[0069] S223. Calculate the heating conditions and ventilation conditions of each device in the second model, and obtain a temperature distribution physical model of the protection chamber by adjusting the heating conditions and ventilation conditions in the second model.

[0070] Specifically, finite element simulation creates a digital twin model of the actual cell, with the same dimensions, cabinet layout, and air conditioning distribution. This model, through finite element calculations, can determine the heating and ventilation conditions of any device within the cell's three-dimensional space. By adjusting the input conditions and performing simulations, a physical model of the cell's temperature distribution can be obtained.

[0071] S3. Calculate the error coefficient of the temperature distribution physical model and correct the output data of the temperature distribution physical model.

[0072] S31 , selecting temperature parameter data of any indoor reference point of the protection chamber, and inputting the data into the temperature distribution physical model to obtain simulated temperature values ​​of other indoor reference points.

[0073] Specifically, by adjusting the initial conditions of the wall reference points, that is, using the real temperature data of one of the wall reference points as an independent variable to input the model, the simulation results of other wall reference points in the physical model of the chamber temperature distribution are calculated.

[0074] S32. Calculate the error coefficient based on the simulated temperature values ​​of other indoor reference points and the temperature parameter data of other indoor reference points.

[0075] Specifically, the error coefficient S between the simulation results of other wall reference points and the actual temperature parameter data is the error coefficient of the physical model of the chamber temperature distribution.

[0076] S33. Use the error coefficient to correct the output data of the temperature distribution physical model.

[0077] Specifically, the digital twin simulation results of the small chamber are corrected by the error coefficient S to obtain the indoor temperature distribution of the small chamber when the temperature of the independent variable wall reference point is a certain value.

[0078] S4, please refer to Figure 3 According to the first change curve and the normal operating temperature threshold of the equipment in the small room without air conditioning, an air conditioning startup and shutdown plan for the protection room at different outdoor temperatures is formulated.

[0079] S41. By adjusting the initial conditions of the independent variable wall reference point of the protection chamber, the indoor maximum temperature position in the physical model of the chamber temperature distribution in the non-air-conditioning state is calculated, and the maximum temperature position is multiplied by the error coefficient S to obtain the indoor maximum temperature correction value in the non-air-conditioning state, and the second change curve of the independent variable wall reference point and the indoor maximum temperature correction value is constructed by fitting.

[0080] S42. Extract the indoor maximum temperature correction value in the second variation curve as the independent variable wall reference point temperature when the room interior is at the maximum allowable operating temperature, and use it as the wall reference point temperature threshold of the room without air conditioning, that is, the normal operating temperature threshold of the equipment in the room without air conditioning.

[0081] S43, using the first variation curve, calculate the maximum outdoor ambient temperature T when the temperature threshold of the wall reference point of the room without air conditioning is turned on. max .

[0082] S44. Based on the outdoor ambient temperature when the temperature threshold of the wall surface reference point of the non-air-conditioned room is reached, an air-conditioning activation and deactivation strategy for the protected room is constructed.

[0083] S441, when the external ambient temperature under a certain weather is lower than the maximum external ambient temperature T of the weather type max At this time, the small room can exit the air-conditioning operation.

[0084] S442: When the external ambient temperature under a certain weather condition is higher than or equal to the highest external ambient temperature T of the weather type, max At this time, the air conditioner in the small room should be put into operation.

[0085] Therefore, in this embodiment, a physical model of the small room is constructed through the digital twin method, and the point data of the sensor is used as a parameter. The temperature trend changes in the entire space of the small room are obtained through simulation analysis, so as to realize lean judgment of the operating conditions of the equipment in the small room and adjustment of the air conditioning startup and shutdown, so as to solve the problem that the existing online monitoring system cannot perceive the temperature changes in the spatial range of the substation protection room as a whole.

[0086] Example 2

[0087] Please refer to Figure 2 A temperature sensing terminal 1 for a protection chamber based on digital twins includes a memory 2, a processor 3, and a computer program stored in the memory 2 and executable on the processor 3. When the processor 3 executes the computer program, each step of a temperature sensing method for a protection chamber based on digital twins in embodiment one is implemented.

[0088] In summary, the present invention provides a temperature sensing method and terminal for a protection chamber based on digital twins, which obtain temperature parameter data of reference points inside and outside the protection chamber, calculate the first change curve of indoor and outdoor temperatures, construct a temperature distribution physical model according to the equipment parameters of the protection chamber, calculate the error coefficient of the temperature distribution physical model, and correct the output data of the temperature distribution physical model to ensure accurate output of temperature data of the entire space of the chamber; then, according to the first change curve and the normal operating temperature threshold of the equipment in the chamber without air conditioning, an air conditioning start-up and shutdown plan for the protection chamber under different outdoor temperatures is formulated, thereby solving the problem that the existing online monitoring system cannot perceive the temperature changes in the spatial range of the substation protection chamber as a whole.

[0089] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's description and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A temperature sensing method for a protective chamber based on digital twins, characterized in that: Including steps: Acquire temperature parameter data of reference points inside and outside the protection chamber collected by the temperature sensor, and calculate a first variation curve of the indoor and outdoor temperatures; Constructing a temperature distribution physical model based on the equipment parameters of the protection chamber: collecting fine-grained equipment parameters of the protection chamber, including building size parameters, panel parameters, and temperature control parameters; Based on the building size parameters, a digital twin is created to establish a scaled simulation model of the protective chamber without equipment, thereby obtaining a first model. Based on the panel cabinet parameters and temperature control parameters, simulation models of the panel cabinet and air conditioner are sequentially configured in the first model to obtain a second model. The heating conditions and ventilation conditions of each device in the second model are calculated, and the heating conditions and ventilation conditions in the second model are adjusted to obtain a physical model of the temperature distribution of the protective chamber. Calculating an error coefficient of the temperature distribution physical model and correcting output data of the temperature distribution physical model; According to the first change curve and the normal operating temperature threshold of the equipment in the small room without air conditioning, an air conditioning startup and shutdown plan for the protection room at different outdoor temperatures is formulated: by adjusting the initial conditions of the reference point on the wall of the protection room, the indoor maximum temperature position in the physical model of the temperature distribution of the room without air conditioning is calculated, and the maximum temperature position is multiplied by the error coefficient to obtain the indoor maximum temperature correction value in the state without air conditioning, and a second change curve of the independent variable wall reference point and the indoor maximum temperature correction value is constructed by fitting; the indoor maximum temperature correction value in the second change curve is extracted as the independent variable wall reference point temperature when the maximum operating temperature allowed in the room is used as the wall reference point temperature threshold of the room without air conditioning; the maximum outdoor ambient temperature when the wall reference point temperature threshold of the room without air conditioning is calculated through the first change curve; based on the outdoor ambient temperature when the wall reference point temperature threshold of the room without air conditioning is reached, an air conditioning startup and shutdown strategy for the protection room is constructed.

2. A temperature sensing method for a protection chamber based on digital twins according to claim 1, characterized in that: The step of acquiring temperature parameter data of reference points inside and outside the protection chamber collected by the temperature sensor and calculating a first variation curve of the indoor and outdoor temperatures includes: Obtaining first temperature parameter data of a reference point on the wall of the protection chamber and second temperature parameter data of an outdoor reference point within a preset time; The first temperature parameter data and the second temperature parameter data are fitted to obtain a first variation curve of indoor and outdoor temperatures.

3. The temperature sensing method of a protection chamber based on digital twin according to claim 1 is characterized in that: Calculating the error coefficient of the temperature distribution physical model and correcting the output data of the temperature distribution physical model includes: Selecting temperature parameter data of any indoor reference point of the protection chamber and inputting the data into the temperature distribution physical model to obtain simulated temperature values ​​of other indoor reference points; Calculate the error coefficient based on the simulated temperature values ​​of other indoor reference points and the temperature parameter data of other indoor reference points; The output data of the temperature distribution physical model is corrected using the error coefficient.

4. The temperature sensing method of a protection chamber based on digital twin according to claim 1 is characterized in that: The air conditioning activation and deactivation strategy for the protection chamber is constructed based on the outdoor ambient temperature when the temperature threshold of the wall reference point of the non-air-conditioned chamber is reached. When the external ambient temperature under certain weather conditions is lower than the maximum external ambient temperature of that weather type, the air conditioning operation of the cabin can be stopped; When the external ambient temperature in a certain weather is higher than or equal to the maximum external ambient temperature of that weather type, the air conditioner in the small room should be put into operation.

5. A temperature sensing terminal for a protection chamber based on digital twins, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, it implements the temperature sensing method of the protection chamber based on digital twin as described in any one of claims 1 to 4.

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