A method, device, equipment and medium for dehumidifying electric equipment

Abstract

The present invention belongs to the field of automatic control technology, and specifically discloses a method, device, equipment and medium for dehumidifying electric equipment. The method includes the following steps: obtaining temperature and humidity sensor data; using a multi-sensor data fusion following control algorithm to process the temperature and humidity sensor data to obtain fitting similarity; using an environmental condensation dew point algorithm to process the temperature and humidity sensor data to obtain the dew point temperature; and generating a control instruction to control the operation of a heating device according to the dew point temperature and the fitting similarity. The present invention uses a multi-sensor data fusion following control algorithm to process a number of temperature and humidity sensor data to obtain fitting similarity, and calculates the dew point temperature according to the fitting similarity, thereby controlling the dehumidification of the heating device, and adjusting in real time according to the temperature and humidity sensor data to avoid the problem that the heating device is always working, causing the temperature to be too high to damage the electric equipment, or the temperature is too low to effectively dehumidify.

Description

Technical Field

[0001] The present invention belongs to the field of automatic control technology, and in particular relates to a dehumidification method, device, equipment and medium for electric power equipment. Background Art

[0002] The bottom of the power equipment (such as switch cabinets, ring network cabinets, and screen cabinets) is a cable trench. The moisture in the cable trench continues to rise from the equipment cable room channel. When the moisture encounters the top plate, terminals and other metal and plastic components inside the equipment, due to the low surface temperature of the components, the moisture is precipitated in the form of liquid water at the cold and hot exchange interface, and then condensation occurs. When the liquid water mixes with the dust inside the equipment, a corresponding conductive channel will be generated, which will affect the electrical insulation of the equipment, and the area that should not be conductive will be converted into a normal conductive area. Once the mixed dust condensation adheres to the top of the terminal box, when the dew gathers a certain weight, it will drip down on the exposed working components inside (such as the wiring terminals), causing a path to form between the two poles of the metal component, so that the component short-circuit burns and loses normal function; if the mixed dust condensation directly adheres to the wiring terminal, a conductive channel that did not originally exist will be generated, resulting in confusion of logic pulses, and then power short circuit, failure of electronic components and other faults, and more serious accidents may cause fire, explosion and other serious accidents.

[0003] Traditional anti-condensation methods mostly use separately deployed automatic dehumidification and heating devices for treatment. Generally, by setting static temperature and humidity thresholds, when the temperature or humidity reaches the set threshold, the heating or dehumidification device is started through the control port, thereby changing the temperature and humidity conditions for the generation of condensation in the local environment to achieve the effect of anti-condensation. This technology has the following main disadvantages: 1. Since only fixed operating parameters can be set, the threshold cannot be automatically adjusted according to seasonal changes within a year or changes in temperature and humidity in the environment within a day. After a single set threshold is reached, the dehumidification or heating device will be turned on all the time, which is easy to cause energy waste or equipment damage. 2. If the control of the automatic heating device running alone fails, it will cause the heating device to continue to heat out of control, which is easy to cause secondary accidents such as fire. 3. It is impossible to monitor the operating status of the automatic dehumidification and heating device itself and the temperature and humidity sensor data in real time. After a fault occurs, it cannot be discovered and handled in time. In order to ensure the reliability of the system, the cost of manual inspection is increased, and the problem cannot be fundamentally solved. Summary of the invention

[0004] The purpose of the present invention is to provide a method, device, equipment and medium for dehumidifying electric equipment to solve the technical problem that the operating parameters of the existing automatic dehumidification method are fixed and cannot be adjusted according to the environment, resulting in unstable operating state of the electric equipment and easy damage.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] In a first aspect, a method for dehumidifying electric equipment comprises the following steps:

[0007] Obtain data from several temperature and humidity sensors in a preset area;

[0008] The multi-sensor data fusion following control algorithm is used to process several temperature and humidity sensor data to obtain the fitting similarity;

[0009] The dew point temperature is obtained by processing the data of several temperature and humidity sensors using the environmental dew point algorithm;

[0010] A control instruction is generated according to the dew point temperature and the fitting similarity to control the operation of the heating device.

[0011] A further improvement of the present invention is that the step of using a multi-sensor data fusion follow-up control algorithm to process a plurality of temperature and humidity sensor data to obtain fitting similarity specifically includes:

[0012] Fuzzy reasoning is used to process the temperature and humidity sensor data to obtain fuzzy sets A and B;

[0013] Calculate the membership function and non-membership function of fuzzy set A; calculate the membership function and non-membership function of fuzzy set B;

[0014] The fitting similarity is calculated according to the membership function of fuzzy set A, the non-membership function of fuzzy set A, the membership function of fuzzy set B and the non-membership function of fuzzy set B.

[0015] A further improvement of the present invention is that the calculation formula of the fitting similarity is as follows:

[0016]

[0017] P represents the fitting interval, ω represents the deviation value, ω(x i ) represents x i Calibration point deviation value, i represents the calibration point number, t represents the calibration sequence; π A (x i ) represents x i Point fuzzy set A trend function; π B (x i ) represents x i Point fuzzy set B trend function.

[0018] A further improvement of the present invention is that: A (x i )+μ A (x i )+γ A (xi )=1;andω(x i ) satisfies the normalization condition.

[0019] A further improvement of the present invention is that the step of using the environmental dew point algorithm to process the data of a plurality of temperature and humidity sensors to obtain the dew point temperature includes:

[0020] Obtaining ambient temperature and relative humidity based on data from several temperature and humidity sensors;

[0021] The approximate dew point temperature is calculated using the Magnus-Tetens approximation method based on the ambient temperature and relative humidity;

[0022] Calculates the dew point temperature based on the approximate dew point temperature, ambient temperature, and relative humidity.

[0023] A further improvement of the present invention is that in the step of calculating the dew point temperature based on the approximate dew point temperature, ambient temperature and relative humidity, the ambient temperature ∈ (0°C, 60°C); relative humidity ∈ (0%, 100%); and approximate dew point temperature ∈ (0°C, 50°C).

[0024] A further improvement of the present invention is that: in the step of generating a control instruction to control the operation of the heating device according to the dew point temperature and the fitting similarity, when the fitting similarity is within the range of the dew point temperature ± the first preset temperature, the heating device is controlled to operate;

[0025] During the operation of the heating device, the ambient temperature gradually increases, and the fitting similarity changes accordingly. When the fitting similarity is not within the range of the dew point temperature ± the second preset temperature, the heating device stops working.

[0026] In a second aspect, a dehumidification device for electric power equipment comprises:

[0027] Several temperature and humidity sensors: used to be installed inside the power equipment to obtain temperature and humidity data;

[0028] Heating device: used for heating and temperature increase;

[0029] Data acquisition module: used to obtain data from several temperature and humidity sensors in a preset area;

[0030] Fitting similarity calculation module: used to process data of several temperature and humidity sensors using a multi-sensor data fusion following control algorithm to obtain fitting similarity;

[0031] Dew point temperature calculation module: used to process data from several temperature and humidity sensors using an environmental dew point algorithm to obtain the dew point temperature;

[0032] Control module: used to generate control instructions according to dew point temperature and fitting similarity to control the operation of the heating device.

[0033] In a third aspect, a computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned dehumidification method for electrical equipment when executing the computer program.

[0034] In a fourth aspect, a computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned method for dehumidifying electric equipment is implemented.

[0035] Compared with the prior art, the present invention has at least the following beneficial effects:

[0036] 1. The present invention uses a multi-sensor data fusion following control algorithm to process several temperature and humidity sensor data to obtain fitting similarity, and calculates the dew point temperature according to the fitting similarity, thereby controlling the dehumidification of the heating device, and adjusting in real time according to the temperature and humidity sensor data to avoid the problem that the heating device is always working, causing the temperature to be too high to damage the power equipment, or the temperature is too low to effectively dehumidify;

[0037] 2. The present invention forms a closed-loop control with the condensation measurement and control points that need to be controlled by calibrating the environmental standard point data, thereby avoiding the independent dispersion of the discrete static threshold setting control mode of the original system and the uncertain operation state, thereby improving the safety and reliability of the system operation;

[0038] 3. Through standard point collection, each decentralized condensation control and powered heating device can be independently and accurately controlled to save energy consumption, increase the service life of the equipment, automatically adjust according to temperature and humidity, realize automatic operation in all seasons and all-weather, reduce manual intervention, and reduce system operation and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0040] In the attached picture:

[0041] Figure 1 A flow chart of a method for dehumidifying electric equipment according to the present invention;

[0042] Figure 2 This is a system block diagram of a dehumidification device for electric equipment according to the present invention;

[0043] Figure 3 The present invention discloses a circuit diagram of a heating device and a temperature and humidity sensor in a dehumidification method for electric power equipment. DETAILED DESCRIPTION

[0044] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present invention can be combined with each other without conflict.

[0045] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise specified, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art to which the present invention belongs. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present invention.

[0046] Example 1

[0047] A method for dehumidifying electric equipment, such as Figure 1 As shown, the following steps are included:

[0048] S1. Obtain data from several temperature and humidity sensors in a preset area;

[0049] Specifically, several temperature and humidity sensors are arranged near the power equipment, such as inside various cabinets or inside cable trenches;

[0050] Specifically, in the process of acquiring temperature and humidity sensor data, the DCS distributed control model system architecture is adopted, thereby relying on the flexible configuration of various control and operation modules to realize diversified data collection strategies to meet the needs of different situations.

[0051] Specifically, in the DCS distributed control model system architecture, such as Figure 3 As shown, it includes several temperature and humidity sensors and a control board, wherein the control board and the several temperature and humidity sensors are connected by a host computer and a lower node networking method for signal transmission.

[0052] Specifically, in this embodiment, the DCS distributed control model system architecture is as follows: Figure 3 As shown, by setting a control board in each power cabinet, the control board is electrically connected to the temperature and humidity sensor and the heater respectively;

[0053] A relay is provided between the control panel and the heater; the switch of the heater is controlled by setting the relay;

[0054] The control panel is also electrically connected to the indicator light to reflect the current operating status;

[0055] A dew point calibration module is also provided outside the power cabinet. Specifically, the dew point calibration module includes a temperature and humidity sensor and a control panel;

[0056] All control panels transmit data to the host through R5485. There are more than one communication method, R5485, and you can choose the appropriate communication method according to the actual use.

[0057] S2, using a multi-sensor data fusion following control algorithm to process several temperature and humidity sensor data to obtain fitting similarity;

[0058] S2 specifically includes the following steps:

[0059] S21, using fuzzy reasoning to process the temperature and humidity sensor data to obtain fuzzy set A and fuzzy set B;

[0060] Specifically, the data in fuzzy set A and fuzzy set B are calibration temperature and humidity and measurement and control temperature and humidity;

[0061] Specifically, the fuzzy set A is expressed as: A = {{x, μ A (x), γ A (x)}|x∈X};

[0062] Where X is the sampling interval, μ A (x) represents the membership degree of x to the fuzzy set A, γ A (x) represents the non-membership degree of x with the fuzzy set A;

[0063] The fuzzy set B is expressed as: B = {{x, μ B (x), γ B (x)}|x∈X, X is the sampling interval range};

[0064] μ B (x) represents the membership degree of x to the fuzzy set B, γ B (x) represents the non-membership degree of x with the fuzzy set B;

[0065] S22, calculating the membership function and non-membership function of the fuzzy set A; calculating the membership function and non-membership function of the fuzzy set B;

[0066] The membership function of the fuzzy set A is expressed as: μ A (x): X→[0, 1]; non-membership function γ of fuzzy set A A (x): X→[0, 1];

[0067] The membership function of the fuzzy set B is expressed as: μ B (x): X→[0, 1]; non-membership function γ of fuzzy set B B (x): X→[0, 1];

[0068] S23, calculating the fitting similarity according to the membership function of fuzzy set A, the non-membership function of fuzzy set A, the membership function of fuzzy set B and the non-membership function of fuzzy set B;

[0069] Specifically, the fitting similarity is the fitting similarity between fuzzy set A and fuzzy set B;

[0070] Fitting similarity S P ω (A, B) is calculated as follows:

[0071]

[0072] In the formula, P represents the fitting interval, ω represents the deviation value, ω(x i ) represents x i Calibration point deviation value, i represents the calibration point number, t represents the calibration sequence; π A (x i ) represents x i Point fuzzy set A trend function; π B (x i ) represents x i Point fuzzy set B trend function;

[0073] Specifically, the value of t is 1 or 0;

[0074] p∈[1, +∞];

[0075] π A (x i )+μ A (x i )+γ A (x i )=1;

[0076] ω(x i )≥0, (i=1, 2, 3...n);

[0077] ω(x i ) satisfies the normalization condition;

[0078] Specifically, for ω(x i ) to perform normalization verification:

[0079]

[0080] S3, using the environmental dew point algorithm to process the data of several temperature and humidity sensors to obtain the dew point temperature;

[0081] Specifically, the dew point temperature refers to the temperature at which air is cooled to saturation without changing its water vapor content or air pressure.

[0082] The specific steps in S3 include:

[0083] S31, obtaining ambient temperature and relative humidity according to data from a number of temperature and humidity sensors;

[0084] Specifically, the ambient temperature is represented by T and the relative humidity is represented by RH;

[0085] S32, calculate the approximate dew point temperature using the Magnus-Tetens approximation method based on the ambient temperature and relative humidity;

[0086]

[0087] Wherein, Td1 represents the approximate dew point temperature; a is the first preset value; and b is the second preset value.

[0088] As a preferred implementation in this embodiment, a=17.27; b=237.7.

[0089] S33, calculating the dew point temperature according to the approximate dew point temperature, the ambient temperature and the relative humidity;

[0090] When T, Td1 and RH all meet the preset conditions, the dew point temperature is calculated;

[0091] The pre-conditions include:

[0092] T∈(0℃, 60℃); RH∈(0%, 100%); Td1∈(0℃, 50℃);

[0093]

[0094]

[0095] Where Td represents the dew point temperature, Log E x is the process quantity; h represents the humidity percentage;

[0096] S4. Generate a control instruction according to the dew point temperature and the fitting similarity to control the operation of the heating device.

[0097] Specifically, when the fitting similarity is within the range of the dew point temperature ± the first preset temperature, the relay is turned on to make the heater work;

[0098] During the operation of the heater, the ambient temperature gradually increases, and the fitting similarity changes accordingly. When the fitting similarity is not within the range of the dew point temperature ± the second preset temperature, the relay is disconnected and the heater stops working.

[0099] The above-mentioned structure of the relay and the heater being matched is only one of the embodiments, and can also be used to control the switch of other heating structures.

[0100] Example 2

[0101] A dehumidification device for electric equipment, such as Figure 2 As shown, including:

[0102] Several temperature and humidity sensors: used to be installed inside the power equipment to obtain temperature and humidity data;

[0103] Heating device: used for heating and temperature increase;

[0104] Data acquisition module: used to obtain data from several temperature and humidity sensors in a preset area;

[0105] Fitting similarity calculation module: used to process data of several temperature and humidity sensors using a multi-sensor data fusion following control algorithm to obtain fitting similarity;

[0106] Dew point temperature calculation module: used to process data from several temperature and humidity sensors using an environmental dew point algorithm to obtain the dew point temperature;

[0107] Control module: used to generate control instructions according to dew point temperature and fitting similarity to control the operation of the heating device.

[0108] Specifically, in the fitting similarity calculation module, it includes:

[0109] Fuzzy reasoning is used to process the temperature and humidity sensor data to obtain fuzzy sets A and B;

[0110] According to fuzzy set A, the membership function of A and the non-membership function of A are calculated; according to fuzzy set B, the membership function of B and the non-membership function of B are calculated;

[0111] The fitting similarity is calculated based on A's membership function, A's non-membership function, B's membership function, and B's non-membership function.

[0112] Specifically, in the dew point temperature calculation module, it includes:

[0113] Obtain ambient temperature and relative humidity based on temperature and humidity sensor data;

[0114] The approximate dew point temperature is calculated using the Magnus-Tetens approximation method based on the ambient temperature and relative humidity;

[0115] Calculates the dew point temperature based on the approximate dew point temperature, ambient temperature, and relative humidity.

[0116] Specifically, the control module includes:

[0117] When the fitting similarity is within the range of the dew point temperature ± the first preset temperature, the relay is turned on to make the heater work;

[0118] During the operation of the heater, the ambient temperature gradually increases and the fitting similarity changes accordingly. When the fitting similarity is not within the range of the dew point temperature ± the second preset temperature, the relay is disconnected and the heater stops working.

[0119] Example 3

[0120] A computer device comprises 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 above-mentioned method for dehumidifying electric equipment is implemented.

[0121] Example 4

[0122] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned method for dehumidifying electric equipment is implemented.

[0123] It is known from common technical knowledge that the present invention can be implemented by other embodiments that do not deviate from its spirit or essential features. Therefore, the above disclosed embodiments are only illustrative in all respects and are not exclusive. All changes within the scope of the present invention or within the scope equivalent to the present invention are included in the present invention.

[0124] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0125] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0126] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0127] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0128] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for dehumidifying electric equipment, characterized in that: The following steps are involved: Obtain data from several temperature and humidity sensors in a preset area; The multi-sensor data fusion following control algorithm is used to process several temperature and humidity sensor data to obtain the fitting similarity; The dew point temperature is obtained by processing the data of several temperature and humidity sensors using the environmental dew point algorithm; Generate control instructions according to the dew point temperature and the fitting similarity to control the operation of the heating device; The step of using a multi-sensor data fusion following control algorithm to process a number of temperature and humidity sensor data to obtain fitting similarity specifically includes: Fuzzy reasoning is used to process the temperature and humidity sensor data to obtain fuzzy sets A and B; Calculate the membership function and non-membership function of fuzzy set A; calculate the membership function and non-membership function of fuzzy set B; calculate the fitting similarity according to the membership function of fuzzy set A, the non-membership function of fuzzy set A, the membership function of fuzzy set B and the non-membership function of fuzzy set B; The calculation formula of the fitting similarity is as follows: Where p∈[1, +∞], ω represents the deviation value, ω(x i ) represents x i Calibration point deviation value, i represents the calibration point number, t represents the calibration sequence; π A (x i ) represents x i Point fuzzy set A trend function; π B (x i ) represents x i Point fuzzy set B trend function; In the step of generating a control instruction to control the operation of the heating device according to the dew point temperature and the fitting similarity, when the fitting similarity is within the range of the dew point temperature ± a first preset temperature, the heating device is controlled to operate; during the operation of the heating device, the ambient temperature gradually increases, and the fitting similarity changes accordingly, and when the fitting similarity is not within the range of the dew point temperature ± a second preset temperature, the heating device stops operating; The data in fuzzy set A and fuzzy set B are calibration temperature and humidity and measurement and control temperature and humidity; The fuzzy set A is expressed as: A={{x, μ A (x), γ A (x)}|x∈X}; where X is the sampling interval, μ A (x) represents the membership degree of x to the fuzzy set A, γ A (x) represents the non-membership degree of x and the fuzzy set A; The fuzzy set B is expressed as: B={{x, μ B (x), γ B (x)}|x∈X}, X is the sampling interval; μ B (x) represents the membership degree of x to the fuzzy set B, γ B (x) represents the non-membership degree of x to the fuzzy set B.

2. A method for dehumidifying electric equipment according to claim 1, characterized in that: π A (x i )+μ A (x i )+γ A (x i ) = 1; and ω(x i ) satisfies the normalization condition.

3. A method for dehumidifying electric equipment according to claim 1, characterized in that: The step of using the environmental dew point algorithm to process the data of a number of temperature and humidity sensors to obtain the dew point temperature includes: Obtaining ambient temperature and relative humidity based on data from several temperature and humidity sensors; The approximate dew point temperature is calculated using the Magnus-Tetens approximation method based on the ambient temperature and relative humidity; Calculates the dew point temperature based on the approximate dew point temperature, ambient temperature, and relative humidity.

4. A method for dehumidifying electric equipment according to claim 3, characterized in that: In the step of calculating the dew point temperature according to the approximate dew point temperature, ambient temperature and relative humidity, the ambient temperature∈(0°C, 60°C); relative humidity∈(0%, 100%); and approximate dew point temperature∈(0°C, 50°C).

5. A dehumidification device for electric equipment, used to implement the dehumidification method for electric equipment according to any one of claims 1 to 4, characterized in that: include: Several temperature and humidity sensors: used to be installed inside the power equipment to obtain temperature and humidity data; Heating device: used for heating and temperature increase; Data acquisition module: used to obtain data from several temperature and humidity sensors in a preset area; Fitting similarity calculation module: used to process data of several temperature and humidity sensors using a multi-sensor data fusion following control algorithm to obtain fitting similarity; Dew point temperature calculation module: used to process data from several temperature and humidity sensors using an environmental dew point algorithm to obtain the dew point temperature; Control module: used to generate control instructions according to dew point temperature and fitting similarity to control the operation of the heating device.

6. A computer device 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, a method for dehumidifying electric equipment as described in any one of claims 1 to 4 is implemented.

7. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, a method for dehumidifying electric equipment according to any one of claims 1 to 4 is implemented.

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