An explosion-proof device for power distribution cabinet and a safety control method

Abstract

The application relates to the technical field of power distribution equipment, in particular to an intelligent explosion-proof power distribution device and a control method, safety data at each initial monitoring position is acquired, safety data at a preset position between any two initial monitoring positions is obtained through interpolation according to the safety data at the two initial monitoring positions, safety data sets are obtained through multiple times of interpolation iteration based on the safety data at the preset position between any two initial monitoring positions, target safety data of a monitoring area corresponding to each initial monitoring position is acquired according to the safety data sets, the target safety data can reflect the safety state in a power distribution cabinet as a whole, and the target safety data reflects the accurate and reliable safety state of the corresponding monitoring area, finally, safety control instructions are output based on the target safety data, and the reliability and safety of safety monitoring of the intelligent explosion-proof power distribution device can be remarkably improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power distribution circuit device, in particular to a power distribution cabinet explosion-proof device and safety control method. BACKGROUND

[0002] In the explosion-proof power distribution device, the abnormality of the circuit in the power distribution cabinet body is an important factor leading to safety problems. When the circuit is abnormal, the first phenomenon is that the wire will heat up, because the abnormal flow of current causes an increase in resistive losses. As the temperature of the wire continues to rise, it may cause further faults in the line, such as damage to the insulation material or breakage of the wire. These faults not only increase the resistance, but also can cause chemical reactions, producing flammable gases such as acetylene. When these flammable gases accumulate in a limited space and come into contact with enough heat, their concentration can quickly increase to the explosion limit. Once this critical point is reached, any small spark or heat can trigger an explosion, causing serious damage to the equipment.

[0003] In the existing explosion-proof power distribution device, a safety data detector, such as a temperature sensor or a flammable gas sensor, is provided at a certain position in the power distribution cabinet body. The safety control of the explosion-proof power distribution device is carried out according to the abnormal state of the safety data detected at this position. However, the overall safety state of the explosion-proof power distribution device cannot be obtained by the abnormal state of the safety data at a fixed position, so that comprehensive and reliable safety monitoring of the explosion-proof power distribution device cannot be achieved. SUMMARY

[0004] Therefore, in order to solve the above technical problems, the present application provides a power distribution cabinet explosion-proof device and safety control method.

[0005] The technical solution adopted is as follows:

[0006] A power distribution cabinet explosion-proof device, comprising a power distribution cabinet body, further comprising a safety monitoring device, the safety monitoring device comprising a controller and safety data detectors arranged at at least two different initial monitoring positions in the power distribution cabinet body, for detecting safety data corresponding to the initial monitoring positions;

[0007] The controller obtains safety data at each initial monitoring position, and according to the safety data at any two initial monitoring positions, interpolates to obtain safety data at a preset position between the any two initial monitoring positions, and then based on the safety data at the preset position between the any two initial monitoring positions, performs multiple times of interpolation iteration to obtain a safety data set, the safety data set comprising safety data obtained by each time of interpolation iteration; based on the safety data set, obtains target safety data of a monitoring area corresponding to each initial monitoring position; based on the target safety data, outputs a safety control instruction.

[0008] In one embodiment, the interpolating the safety data of the preset position between the two initial monitoring positions according to the safety data of the two initial monitoring positions comprises:

[0009] obtaining a first data variation trend of a first initial monitoring position and a second data variation trend of a second initial monitoring position, the first initial monitoring position and the second initial monitoring position being the two initial monitoring positions;

[0010] obtaining a first distance between the preset position and the first initial monitoring position and a second distance between the preset position and the second initial monitoring position;

[0011] obtaining a first interpolation weight of the first initial monitoring position according to the first data variation trend and the first distance, the first interpolation weight being proportional to the first data variation trend and inversely proportional to the first distance, and obtaining a second interpolation weight of the second initial monitoring position according to the second data variation trend and the second distance, the second interpolation weight being proportional to the second data variation trend and inversely proportional to the second distance;

[0012] performing weighted summation on the safety data of the first initial monitoring position and the second initial monitoring position based on the first interpolation weight and the second interpolation weight to obtain the interpolation safety data of the preset position.

[0013] In one embodiment, the obtaining process of the first data variation trend and the second data variation trend comprises:

[0014] obtaining a safety data time sequence of a candidate initial monitoring position, the candidate initial monitoring position corresponding to a candidate data variation trend, the candidate data variation trend being any one of the first data variation trend and the second data variation trend;

[0015] obtaining a trend curve in the safety data time sequence based on an STL decomposition algorithm;

[0016] obtaining coordinate data of each data point on the trend curve by taking the time sequence of each data point as the abscissa and the numerical value of each data point as the ordinate;

[0017] taking all the coordinate data on the trend curve as the input of a principal component analysis algorithm to obtain a plurality of two-dimensional vectors and a projection value corresponding to each two-dimensional vector, the two-dimensional vector representing a projection direction of the coordinate data, and the projection value representing a projection length value in the corresponding projection direction;

[0018] A two-dimensional vector corresponding to the maximum projection value is obtained, denoted as a trend vector, a trend angle is obtained based on a direction of the trend vector, and the candidate data change trend is obtained according to the trend angle.

[0019] In one embodiment, the preset position is a midpoint position corresponding to a line segment connecting the two initial monitoring positions.

[0020] In one embodiment, the plurality of interpolation iterations are performed based on the safety data of the preset positions between any two of the initial monitoring positions to obtain a safety data set, including:

[0021] For the i th interpolation iteration process, safety data of the preset positions between any two target monitoring positions is obtained by interpolation according to safety data of the target monitoring positions corresponding to the i th interpolation iteration process; the safety data of the target monitoring positions of the i th interpolation iteration process is safety data of the preset positions obtained in the (i-1) th interpolation iteration process; i is an integer greater than or equal to 2;

[0022] The safety data set includes safety data of the initial monitoring positions and safety data of the target monitoring positions obtained in the plurality of interpolation iterations.

[0023] In one embodiment, a stop condition of the interpolation iteration is:

[0024] The preset position distance features of adjacent two iteration processes are obtained respectively, the preset position distance feature being a mean value of distances between all any two preset positions obtained in the corresponding iteration process;

[0025] A difference between the preset position distance features of adjacent two iteration processes is obtained, and if the difference is less than a preset difference threshold, it is determined that the interpolation iteration is ended.

[0026] In one embodiment, based on the safety data set, target safety data of monitoring regions corresponding to the initial monitoring positions is obtained, including:

[0027] A safety data set in the safety data set that is in the monitoring region corresponding to each initial monitoring position is obtained, and a maximum safety data in the safety data set corresponding to each monitoring region is taken as target safety data of the corresponding monitoring region.

[0028] In one embodiment, based on the target safety data, a safety control instruction is output, including:

[0029] Based on a size relationship between the target safety data and a preset alert threshold, it is determined whether to output a safety alarm signal and a safety operation instruction, the safety operation instruction being used to control a safety device to perform a safety action.

[0030] In one embodiment, the safety data detector comprises a temperature sensor and a combustible gas concentration sensor.

[0031] A safety control method of an explosion-proof device of a power distribution cabinet, the control method is applied to an explosion-proof device of a power distribution cabinet, the explosion-proof device of the power distribution cabinet comprises a power distribution cabinet body, and the control method comprises:

[0032] Obtaining safety data at each initial monitoring position, each initial monitoring position being a different monitoring position arranged in the power distribution cabinet body;

[0033] According to the safety data at any two initial monitoring positions, the safety data at a preset position between the any two initial monitoring positions is obtained by interpolation;

[0034] Based on the safety data at the preset position between each of the any two initial monitoring positions, multiple interpolation iterations are performed to obtain a safety data set, the safety data set comprising safety data obtained by each interpolation iteration;

[0035] Based on the safety data set, target safety data of a monitoring area corresponding to each initial monitoring position is obtained;

[0036] Based on the target safety data, a safety control instruction is output.

[0037] The present application has at least the following beneficial effects: a plurality of safety data detectors are arranged in the power distribution cabinet body to detect safety data corresponding to initial monitoring positions, then safety data at a preset position between any two initial monitoring positions is obtained by interpolation using safety data at each initial monitoring position, multiple interpolation iterations are performed in this way to obtain safety data of each initial monitoring position and safety data of each preset position obtained in each iteration process, since the safety data of each preset position is calculated based on the safety data of the initial monitoring position, the final safety data can reflect the safety state in the power distribution cabinet body as a whole, so that the target safety data of the monitoring area corresponding to each initial monitoring position can be obtained in turn, the target safety data reflects the accurate and reliable safety state of the corresponding monitoring area, and finally when safety monitoring is performed based on the target safety data, the reliability and safety of safety monitoring of the explosion-proof device of the power distribution cabinet can be significantly improved. Moreover, the safety data of multiple preset positions is obtained by continuously iterating based on the safety data of each initial monitoring position, which can accurately obtain the safety data of other positions closely related to each initial monitoring position, and accurate safety monitoring can be realized based on all safety data, and the intelligent level of the explosion-proof power distribution device is improved. BRIEF DESCRIPTION OF DRAWINGS

[0038] Figure 1 is a structural schematic view of a power distribution cabinet body;

[0039] Figure 2 This is the electrical connection schematic diagram of the safety data detector and controller;

[0040] Figure 3 is a flow chart of a control method executed in the controller;

[0041] Figure 4 It is a schematic diagram of the interpolation process;

[0042] Figure 5 is a flow chart for obtaining a first data change trend and a second data change trend;

[0043] Figure 6 It is a schematic diagram of the interpolation iterative process of temperature data. DETAILED DESCRIPTION

[0044] Example 1 of explosion-proof device for power distribution cabinet:

[0045] This embodiment provides an explosion-proof device for a power distribution cabinet, such as Figure 1 As shown, it includes a distribution cabinet 100. It should be understood that the relevant electrical equipment installed in the distribution cabinet 100 are all conventional technical means and will not be described in detail. As a specific embodiment, the distribution cabinet 100 can be equipped with an exhaust device to exhaust dangerous gases, such as flammable gases, in the distribution cabinet 100. It can also be equipped with a circuit breaker to promptly control the circuit breaker to disconnect in the event of a safety accident to ensure electrical safety in the distribution cabinet 100. The distribution cabinet 100 is also equipped with control devices, electrical circuits, etc.

[0046] The explosion-proof device of the power distribution cabinet also includes a safety monitoring device, which includes a controller. The controller can be a control device specifically configured for safety monitoring in addition to the existing control devices of the power distribution cabinet 100, or the existing control devices of the power distribution cabinet 100 can be used. The controller can be a PLC, a single-chip microcomputer, a CPU, or other control device, and the specific selection is determined by actual needs. The location of the controller in the power distribution cabinet 100 is determined by actual needs. In addition, a heat-insulating explosion-proof box can be specially provided in the power distribution cabinet 100, and the controller can be placed inside the heat-insulating explosion-proof box to improve the safety of the controller. Alternatively, the controller can be placed at a predetermined location outside the power distribution cabinet 100.

[0047] At least two different initial monitoring positions are set in the distribution cabinet 100. The specific number and specific positions of the initial monitoring positions are set according to actual needs. Generally speaking, the initial monitoring positions are relatively important positions in the distribution cabinet 100, such as: battery packs, fuses, various line connections, etc.

[0048] The safety monitoring device further comprises at least two safety data detectors, each of which corresponds to one of the initial monitoring positions and is arranged at the corresponding initial monitoring position in the power distribution cabinet body 100 to detect safety data of the corresponding initial monitoring position. The specific type of the safety data detector is set according to actual needs, that is, the type of the detected data for each initial monitoring position is set according to actual needs, such as temperature, combustible gas concentration, smoke concentration, etc. As a specific embodiment, the safety data detector comprises at least one of a temperature sensor and a combustible gas concentration sensor. Therefore, the safety data detector has three cases, that is, the safety data detector is a temperature sensor, the safety data detector is a combustible gas concentration sensor, and the safety data detector comprises a temperature sensor and a combustible gas concentration sensor. If it is a temperature sensor, the detected safety data is the temperature data of the corresponding initial monitoring position. If it is a combustible gas concentration sensor, the detected safety data is the combustible gas concentration of the corresponding initial monitoring position.

[0049] As shown in Figure 2 , each safety data detector is signal-connected with the controller, which can be wired connection, short-distance wireless communication connection by using Bluetooth, WiFi module, etc., or long-distance wireless communication connection by using a GPRS module, etc. Therefore, the setting position of the controller is more flexible.

[0050] Each safety data detector sends the detected safety data of the corresponding initial monitoring position to the controller, and the controller obtains the safety data of each initial monitoring position. The flow of the control method executed in the controller is shown in Figure 3 . It should be understood that the safety data detector obtains the safety data in time sequence according to a preset sampling period. The sampling period is set according to actual needs, and the length of the data acquisition period of the safety data detector is also set according to actual needs.

[0051] The safety data of each initial monitoring position is grouped in pairs. For the safety data of any two initial monitoring positions, the safety data of a preset position between the two initial monitoring positions is obtained by interpolation according to the safety data of the two initial monitoring positions. The preset position is set according to actual needs, which can be any position point on the line segment formed by the two monitoring positions in principle. In order to improve the accuracy and reliability of data detection, the preset position is the midpoint position on the line segment formed by the two initial monitoring positions, that is, the two initial monitoring positions are taken as two initial nodes, and the two initial nodes are connected to form an edge, and the midpoint position of the edge is the preset position. As other embodiments, the preset position can also be other positions, such as the 1 / 3 position away from a certain initial monitoring position.

[0052] The preset position safety data can be obtained by using a conventional difference algorithm, for example, the average of the safety data at the two initial monitoring positions can be used as the safety data at the preset position. However, the conventional interpolation method does not consider the influence of the actual change of the safety data at the two initial monitoring positions on the safety data at the preset position, for example, if the temperature of the electric wire increases due to a short circuit or other reasons, the faster the temperature increases, the greater the influence of the temperature at the initial monitoring position on the temperature at the preset position, that is, the preset position should refer to the temperature at the initial monitoring position more.

[0053] As a specific embodiment, the safety data at the preset position between any two monitoring positions is obtained by interpolation according to the safety data at any two initial monitoring positions, as shown in FIG. 1, including: Figure 4

[0054] The first data change trend of the first initial monitoring position and the second data change trend of the second initial monitoring position are obtained, wherein the first initial monitoring position and the second initial monitoring position are any one of the two initial monitoring positions.

[0055] The first data change trend is used to represent the change trend of the safety data at the first initial monitoring position, and the second data change trend is used to represent the change trend of the safety data at the second initial monitoring position. As a specific embodiment, the process of obtaining the first data change trend and the second data change trend is given as follows, as shown in FIG. 2. Figure 5

[0056] The process of obtaining the first data change trend and the second data change trend is the same. In order to facilitate description, the candidate data change trend is set as any one of the first data change trend and the second data change trend, and the initial monitoring position corresponding to the candidate data change trend is set as the candidate initial monitoring position.

[0057] The safety data time sequence of the candidate initial monitoring position is obtained. The safety data time sequence is obtained by arranging the safety data of the candidate initial monitoring position in time sequence. The safety data time sequence can constitute a safety data curve.

[0058] The trend curve in the safety data time sequence is obtained based on the STL decomposition algorithm. It should be understood that the STL decomposition algorithm is a prior art, and the trend curve, the period curve and the residual curve of the data curve obtained based on the STL decomposition algorithm belong to the prior art, and will not be described here.

[0059] ​​Mapping the time sequence of each data point on the trend curve as the horizontal coordinate and the numerical value of each data point on the trend curve as the vertical coordinate into a two-dimensional coordinate system to obtain coordinate data of each data point, which is a two-dimensional coordinate point of each data point.

[0060] Taking all the coordinate data on the trend curve as the input of a principal component analysis (PCA) algorithm to obtain a plurality of two-dimensional vectors and a projection value corresponding to each two-dimensional vector. The two-dimensional vector represents a projection direction of the coordinate data, and the projection value represents a projection length value in the corresponding projection direction.

[0061] It should be understood that the greater the projection value, the greater the projection length value in the corresponding projection direction, which represents the principal component direction and can better reflect the data change. Therefore, the maximum projection value in all the projection values is obtained, and thus a two-dimensional vector corresponding to the maximum projection value is obtained, which is denoted as a trend vector.

[0062] Based on the direction of the trend vector, a trend angle is obtained. As a specific embodiment, the vertical coordinate and the horizontal coordinate of the trend vector in the two-dimensional coordinate system are obtained, and the inverse tangent angle value of the ratio of the vertical coordinate to the horizontal coordinate is calculated as the trend angle value. The range of the trend angle value is 0-90°.

[0063] Finally, a candidate data change trend is obtained according to the trend angle. The trend angle is directly proportional to the candidate data change trend, and the normalized result of the trend angle is taken as the candidate data change trend. As a specific embodiment, the ratio of the trend angle to 90° is taken as the candidate data change trend. It should be understood that the normalization in the present embodiment can be selected from one of the existing normalization methods according to actual needs, such as a maximum-minimum normalization method or a normalization method in which x is the data to be normalized. Therefore, the greater the candidate data change trend, the faster the change speed of the safety data.

[0064] The above process is used to obtain the first data change trend and the second data change trend, respectively.

[0065] The preset position between the first initial monitoring position and the second initial monitoring position is set as a candidate preset position. A first distance between the first initial monitoring position and the candidate preset position and a second distance between the second initial monitoring position and the candidate preset position are obtained. It should be understood that, since the candidate preset position is the midpoint position between the first initial monitoring position and the second initial monitoring position, the first distance and the second distance are the same. As another embodiment, if the candidate preset position is not the midpoint position between the first initial monitoring position and the second initial monitoring position, the first distance and the second distance are different.

[0066] According to the first data change trend and the first distance, a first interpolation weight of the first initial monitoring position is obtained. The greater the first data change trend, the faster the data changes, and the greater the influence on the safety data of the candidate preset position, and the greater the first distance, the farther the distance from the candidate preset position, and the smaller the influence on the safety data of the candidate preset position, and therefore, the first interpolation weight is proportional to the first data change trend and inversely proportional to the first distance. As a specific embodiment, a specific calculation formula of the first interpolation weight is given as follows: wherein w1 is the first interpolation weight, q1 is the first data change trend, d1 is the first distance, and e is a natural constant.

[0067] According to the second data change trend and the second distance, a second interpolation weight of the second initial monitoring position is obtained, and for the same reason, the second interpolation weight is proportional to the second data change trend and inversely proportional to the second distance. As a specific embodiment, a specific calculation formula of the second interpolation weight is given as follows: wherein w2 is the second interpolation weight, q2 is the second data change trend, d2 is the second distance, and e is a natural constant.

[0068] Based on the first interpolation weight and the second interpolation weight, the safety data of the first initial monitoring position and the second initial monitoring position is weighted and summed to obtain the interpolation safety data of the candidate preset position, and the calculation formula is as follows: wherein t is the interpolation safety data of the candidate preset position, t1 is the safety data of the first initial monitoring position, and t2 is the safety data of the second initial monitoring position.

[0069] It should be understood that the above is an example of any two initial monitoring positions, and the interpolation safety data of the preset position between the two initial monitoring positions is obtained. Using the above process, the interpolation safety data of the preset position between any two initial monitoring positions can be obtained. Assuming that there are m initial monitoring positions in total, the interpolation safety data of m* (m-1) / 2 preset positions can be obtained.

[0070] Based on the safety data of the preset position between any two initial monitoring positions, multiple interpolation iterations are performed to obtain a safety data set, and the safety data set includes the safety data of the initial monitoring positions and the safety data obtained by the multiple interpolation iterations. Specifically, for the i-th interpolation iteration process, the safety data of the preset position between any two target monitoring positions is obtained by interpolation according to the safety data of the target monitoring positions corresponding to the i-th interpolation iteration process; the safety data of each target monitoring position of the i-th interpolation iteration process is the safety data of each preset position obtained by the (i-1)-th interpolation iteration process; i is an integer greater than or equal to 2, and i is taken from the integer 2 upwards.

[0071] As a specific example: the safety data of the corresponding preset positions obtained according to the safety data of any two initial monitoring positions in the above text is taken as the first iterative process, then the safety data of each preset position obtained in the first interpolation iterative process is taken as the safety data of each target monitoring position in the second interpolation iterative process, that is, each preset position obtained in the first interpolation iterative process is defined as each target monitoring position in the second interpolation iterative process. According to the safety data at any two target monitoring positions corresponding to the second interpolation iterative process, the safety data of the preset position between any two target monitoring positions is interpolated. The specific interpolation process can be found in the above text and will not be repeated here. Then, the safety data of each preset position obtained in the second interpolation iterative process is taken as the safety data of each target monitoring position in the third interpolation iterative process, that is, each preset position obtained in the second interpolation iterative process is defined as each target monitoring position in the third interpolation iterative process. According to the safety data at any two target monitoring positions corresponding to the third interpolation iterative process, the safety data of the preset position between any two target monitoring positions is interpolated. The safety data for each preset location obtained during the third interpolation iteration is used as the safety data for each target monitoring location during the fourth interpolation iteration. That is, each preset location obtained during the third interpolation iteration is defined as each target monitoring location during the fourth interpolation iteration. Based on the safety data at any two target monitoring locations corresponding to the fourth interpolation iteration, the safety data for any preset location between the two target monitoring locations is interpolated. This process is repeated in this manner for each interpolation iteration. Thus, a safety data set is obtained. Therefore, the safety data set includes the safety data for each initial monitoring location and the safety data for each target monitoring location obtained during each interpolation iteration.

[0072] As a specific implementation, the cutoff condition of the interpolation iteration process is: respectively obtain the preset position distance features of two adjacent iterative processes, where the preset position distance feature is the average of the distances between any two preset positions obtained in the corresponding iterative process; then, obtain the difference between the preset position distance features of the two adjacent iterative processes. If the difference is less than the preset difference threshold, it is determined that the interpolation iteration is terminated.

[0073] Specifically, the Nth iteration process and the (N-1)th iteration process are two adjacent iteration processes, according to all preset positions obtained by the Nth iteration process, the distance between any two preset positions is obtained, thereby obtaining a plurality of distance values, the mean value of the plurality of distance values is calculated as the preset position distance feature of the Nth iteration process; similarly, the preset position distance feature of the (N-1)th iteration process is obtained. The absolute value of the difference between the preset position distance feature of the Nth iteration process and the preset position distance feature of the (N-1)th iteration process is calculated, and the absolute value of the difference is compared with the preset difference threshold. In order to facilitate comparison with the preset difference threshold, the obtained absolute value of the difference is normalized first, and then the normalized absolute value of the difference is compared with the preset difference threshold. If the normalized absolute value of the difference is less than the preset difference threshold, it is determined that the interpolation iteration is ended, and a total of N iteration processes are performed. It should be understood that the preset difference threshold is set according to actual needs, and the specific setting of the preset difference threshold is different according to whether the absolute value of the difference is normalized.

[0074] The normalized absolute value of the difference is less than the preset difference threshold, which indicates that the difference between the preset positions obtained by the two adjacent iteration processes is not large, and it can be understood that the preset positions obtained by the two adjacent iteration processes are close and dense. If the iteration continues, it has little significance. Therefore, it is determined that the interpolation iteration is ended, the data operation time is shortened, and the data operation efficiency is improved. The specific value of the preset difference threshold is set according to actual needs, such as 0.2.

[0075] As another embodiment, the stopping condition of the interpolation iteration process can also be that if the number of interpolation iterations reaches a preset number threshold, the interpolation iteration is stopped.

[0076] Based on the safety data set, the target safety data of the monitoring area corresponding to each initial monitoring position is obtained.

[0077] It should be understood that the initial monitoring position is only the setting position of the safety data detector, and some areas around the initial monitoring position are also the detection areas of the safety data detector, for example: if an initial monitoring position is the center position of the battery pack, the entire area of the battery pack should be regarded as a monitoring area. Therefore, the monitoring area corresponding to each initial monitoring position is determined. As a specific embodiment, the monitoring area is a circular area with the initial monitoring position as the center and a preset radius as the radius. The specific value of the preset radius is set according to the actual detection object.

[0078] Since the safety data set includes each initial monitoring position and each target monitoring position obtained in each interpolation iteration process, the monitoring positions in the monitoring area corresponding to each initial monitoring position in the safety data set are obtained, thereby obtaining the safety data in the monitoring area corresponding to each initial monitoring position in the safety data set, and the safety data in the monitoring area corresponding to each initial monitoring position is defined as a safety data set of each initial monitoring position. Each safety data set includes at least one safety data.

[0079] For the safety data set corresponding to any initial monitoring position, the safety data with the largest value in the safety data set, i.e., the maximum value safety data, is obtained, and the maximum value safety data is taken as the target safety data of the monitoring area corresponding to the initial monitoring position. Thus, the target safety data of the monitoring area corresponding to each initial monitoring position is obtained.

[0080] Based on the target safety data, a safety control instruction is output. The larger the target safety data is, the greater the safety hazard is, and therefore, based on a preset alert threshold, the target safety data of the monitoring area corresponding to each initial monitoring position is compared with the preset alert threshold, and based on the size relationship between the target safety data and the preset alert threshold, it is determined whether the controller outputs a safety alarm signal and a safety operation instruction.

[0081] Since multiple initial monitoring positions are involved, multiple target safety data are involved, and therefore, a judgment strategy can be set according to actual needs, such as: if at least one target safety data is greater than the preset alert threshold, the controller sends a safety alarm signal and a safety operation instruction; or if the proportion of the number of target safety data greater than the preset alert threshold to the total number of target safety data exceeds a preset proportion, the controller sends a safety alarm signal and a safety operation instruction.

[0082] The safety alarm signal is used to be sent to a background monitoring center, so that a staff member can learn the safety alarm state in time. The safety operation instruction is used to control a corresponding safety device to perform a safety action, such as: a circuit breaker opening instruction, which is used to be sent to a circuit breaker to control the circuit breaker to open, thereby ensuring the safety of the circuit; or an exhaust device starting instruction, which is used to be sent to an exhaust device to control the exhaust device to start, thereby exhausting the combustible gas in the power distribution cabinet body 100; or a power control instruction for increasing the power of a cooling fan, which is used to be sent to the cooling fan to increase the operating power of the cooling fan and improve the cooling efficiency, thereby reducing the temperature in the power distribution cabinet body 100, and the like.

[0083] The second embodiment of the power distribution cabinet explosion-proof device is as follows:

[0084] In this embodiment, the safety data detector includes a temperature sensor and a combustible gas concentration sensor, that is, a temperature sensor and a combustible gas concentration sensor are provided at each initial monitoring position for respectively detecting the temperature data and combustible gas concentration data at the corresponding position.

[0085] Moreover, three initial monitoring positions are set, which are all three key positions in the power distribution cabinet 100. This embodiment takes a position of the battery pack, a position of the line connection, and a position of the control device as examples.

[0086] Since the temperature sensors and combustible gas concentration sensors are distributed relatively discretely, the source of the anomaly cannot be directly determined through the temperature sensors and combustible gas concentration sensors. Therefore, it is necessary to interpolate the temperature data and combustible gas concentration data to obtain the approximate coordinate position of the anomaly source.

[0087] The interpolation safety data acquisition process of the preset position in the first embodiment of the explosion-proof device of the distribution cabinet is adopted to respectively obtain the interpolation temperature data of the temperature data and the interpolation combustible gas concentration data of the combustible gas concentration data, that is, the temperature data and the combustible gas concentration data are respectively replaced with the safety data in the interpolation safety data acquisition process of the preset position in the first embodiment of the explosion-proof device of the distribution cabinet, and the same interpolation process is adopted to obtain the interpolation temperature data of the preset position based on the temperature data and the interpolation combustible gas concentration data of the preset position based on the combustible gas concentration data.

[0088] Then, the interpolation iterative process in Example 1 of the explosion-proof device of the distribution cabinet is used to obtain a temperature data set and a combustible gas concentration data set, wherein the temperature data set includes the temperature data of each initial monitoring position and the temperature data of each target monitoring position obtained during each interpolation iterative process, and the combustible gas concentration data set includes the combustible gas concentration data of each initial monitoring position and the combustible gas concentration data of each target monitoring position obtained during each interpolation iterative process.

[0089] Take temperature data as an example, Figure 6 As shown, Figure 6 1, 2, and 3 are three initial monitoring positions. Any two of the three initial monitoring positions are connected to form an edge. The interpolation safety data acquisition process of the preset position in the first embodiment of the explosion-proof device of the distribution cabinet is adopted to calculate the temperature value of the midpoint coordinate of each edge as the corresponding interpolation temperature data. This is the first interpolation iteration process, that is, Figure 6The positions (1), (2), and (3) in the above are three preset positions obtained by the first iteration process (also three target monitoring positions in the second iteration process). According to the interpolation temperature data of any two target monitoring positions in the second iteration process, the interpolation temperature data of the preset position between the two target monitoring positions is obtained, that is, Figure 6 The positions [1], [2], and [3] in the above are three preset positions obtained by the second iteration process (also three target monitoring positions in the third iteration process). Similarly, the iteration is performed for each time.

[0090] By using the above process, the temperature data set and the combustible gas concentration data set are obtained, wherein the temperature data set includes the temperature data of each initial monitoring position and the temperature data of each target monitoring position obtained in each iteration process, and the combustible gas concentration data set includes the combustible gas concentration data of each initial monitoring position and the combustible gas concentration data of each target monitoring position obtained in each iteration process.

[0091] Since the three initial monitoring positions are respectively a position of the battery pack, a position of the line connection, and a position of the controller, the three positions cannot reflect the temperature of the battery pack, the line connection, and the controller as a whole. Therefore, three circular regions representing the battery pack region, the line connection region, and the controller region are obtained by taking the three initial monitoring positions as centers and presetting radii as radii. It should be understood that the sizes of the three preset radii can be determined by the specific detection object.

[0092] In the temperature data set, the temperature data in the battery pack region, the line connection region, and the controller region is obtained, thereby obtaining three temperature data sets. Similarly, in the combustible gas concentration data set, the combustible gas concentration data in the battery pack region, the line connection region, and the controller region is obtained, thereby obtaining three combustible gas concentration data sets.

[0093] For the temperature data set corresponding to the battery pack region, the maximum temperature data is obtained as the target temperature data of the battery pack region. For the temperature data set corresponding to the line connection region, the maximum temperature data is obtained as the target temperature data of the line connection region. For the temperature data set corresponding to the control device region, the maximum temperature data is obtained as the target temperature data of the control device region. Similarly, for the combustible gas concentration data set corresponding to the battery pack region, the maximum combustible gas concentration data is obtained as the target combustible gas concentration data of the battery pack region. For the combustible gas concentration data set corresponding to the line connection region, the maximum combustible gas concentration data is obtained as the target combustible gas concentration data of the line connection region. For the combustible gas concentration data set corresponding to the control device region, the maximum combustible gas concentration data is obtained as the target combustible gas concentration data of the control device region.

[0094] Based on the obtained target temperature data and target combustible gas concentration data, a safety control instruction is output.

[0095] As a specific embodiment, the maximum value of the three target temperature data is obtained to obtain the final temperature data, and the maximum value of the three target combustible gas concentration data is obtained to obtain the final combustible gas concentration data.

[0096] A preset temperature warning threshold and a preset combustible gas concentration warning threshold are set. The specific values of the two thresholds are set according to actual judgment needs. The final temperature data is compared with the preset temperature warning threshold, and the final combustible gas concentration data is compared with the preset combustible gas concentration warning threshold.

[0097] If the final temperature data is greater than the preset temperature warning threshold and the final combustible gas concentration data is greater than the preset combustible gas concentration warning threshold, it indicates that a very serious safety accident has occurred in the power distribution cabinet body 100, then the controller outputs a first-level safety warning signal, and outputs a circuit breaker opening instruction, an exhaust device starting instruction, and a highest gear operating power control instruction of the cooling fan. In addition, an inert gas release instruction can also be issued to release inert gas, which is used to dilute the combustible gas.

[0098] If the final temperature data is greater than the preset temperature warning threshold and the final combustible gas concentration data is less than or equal to the preset combustible gas concentration warning threshold, the controller outputs a secondary safety warning signal, and outputs a circuit breaker opening instruction and a heat dissipation fan highest gear operation power control instruction; or, if the final temperature data is less than or equal to the preset temperature warning threshold and the final combustible gas concentration data is greater than the preset combustible gas concentration warning threshold, the controller outputs a secondary safety warning signal, and outputs a circuit breaker opening instruction and an exhaust device starting instruction, in addition, an inert gas release instruction can also be issued.

[0099] The severity of the primary safety warning signal is higher than that of the secondary safety warning signal.

[0100] The control method for the explosion-proof device of the power distribution cabinet embodiment one is as follows:

[0101] The safety control method for the explosion-proof device of the power distribution cabinet is provided, the control method is applied to the explosion-proof device of the power distribution cabinet, the explosion-proof device of the power distribution cabinet includes a power distribution cabinet body, and the control method includes the following steps:

[0102] Obtain safety data at each initial monitoring position, each initial monitoring position being a different monitoring position arranged in the power distribution cabinet body;

[0103] According to the safety data at any two initial monitoring positions, the safety data at a preset position between the any two initial monitoring positions is obtained by interpolation;

[0104] Based on the safety data at the preset position between the any two initial monitoring positions, a plurality of times of interpolation iterations are performed to obtain a safety data set, the safety data set including safety data obtained by each time of interpolation iteration;

[0105] Based on the safety data set, target safety data of a monitoring area corresponding to each initial monitoring position is obtained;

[0106] Based on the target safety data, a safety control instruction is output.

[0107] Since the implementation process of the control method has been specifically described in the explosion-proof device of the power distribution cabinet embodiment one, no further description is given.

[0108] The control method for the explosion-proof device of the power distribution cabinet embodiment two is as follows:

[0109] The safety control method for the explosion-proof device of the power distribution cabinet is provided, the control method is applied to the explosion-proof device of the power distribution cabinet, the explosion-proof device of the power distribution cabinet includes a power distribution cabinet body, and the control method includes the following steps:

[0110] Obtain safety data at each initial monitoring position, each initial monitoring position being a different monitoring position arranged in the power distribution cabinet body;

[0111] interpolating the safety data of the preset positions between any two of the initial monitoring positions based on the safety data of the any two initial monitoring positions;

[0112] performing multiple times of interpolation iteration based on the safety data of the preset positions between any two of the initial monitoring positions to obtain a safety data set, the safety data set comprising the safety data obtained by each time of interpolation iteration;

[0113] obtaining target safety data of the monitoring area corresponding to each of the initial monitoring positions based on the safety data set;

[0114] outputting a safety control instruction based on the target safety data.

[0115] Since the implementation process of the control method has been specifically described in the second power distribution cabinet explosion-proof device embodiment, it will not be described again.

[0116] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. An explosion-proof device for a power distribution cabinet, comprising a power distribution cabinet body, characterized in that, The safety monitoring device comprises a controller and safety data detectors arranged at at least two different initial monitoring positions in the power distribution cabinet body for detecting safety data of the corresponding initial monitoring positions; The controller obtains safety data at each initial monitoring position, and interpolates safety data at a preset position between any two initial monitoring positions according to safety data at the two initial monitoring positions, and then iterates multiple times based on safety data at the preset position between any two initial monitoring positions to obtain a safety data set, which comprises safety data obtained through each interpolation iteration; Based on the safety data set, target safety data of a monitoring area corresponding to each initial monitoring position is obtained; Based on the target safety data, a safety control instruction is outputted; The interpolation of safety data at a preset position between any two initial monitoring positions comprises: obtaining a first data trend of a first initial monitoring position and a second data trend of a second initial monitoring position, the first initial monitoring position and the second initial monitoring position being any two initial monitoring positions; obtaining a first distance between the preset position and the first initial monitoring position and a second distance between the preset position and the second initial monitoring position; obtaining a first interpolation weight of the first initial monitoring position according to the first data trend and the first distance, the first interpolation weight being proportional to the first data trend and inversely proportional to the first distance; and obtaining a second interpolation weight of the second initial monitoring position according to the second data trend and the second distance, the second interpolation weight being proportional to the second data trend and inversely proportional to the second distance; performing weighted summation on safety data of the first initial monitoring position and the second initial monitoring position based on the first interpolation weight and the second interpolation weight to obtain interpolation safety data of the preset position; The process of obtaining the first data trend and the second data trend comprises: obtaining a safety data time sequence of a candidate initial monitoring position, the candidate initial monitoring position corresponding to a candidate data trend, the candidate data trend being any one of the first data trend and the second data trend; obtaining a trend curve in the safety data time sequence based on an STL decomposition algorithm; obtaining coordinate data of each data point by taking the time sequence of each data point on the trend curve as the abscissa and the numerical value of each data point as the ordinate; obtaining a plurality of two-dimensional vectors and a projection value corresponding to each two-dimensional vector by taking all coordinate data on the trend curve as the input of a principal component analysis algorithm, the two-dimensional vector representing a projection direction of the coordinate data, and the projection value representing a projection length value in the corresponding projection direction; An acquisition of a two-dimensional vector corresponding to a maximum projection value is recorded as a trend vector, an acquisition of a trend angle based on a direction of the trend vector, and an acquisition of the candidate data change trend according to the trend angle; Based on the safety data set, the target safety data of the monitoring area corresponding to each initial monitoring position is obtained, including: In the safety data set, the safety data set in each monitoring area corresponding to each initial monitoring position is obtained, and the maximum safety data in the safety data set corresponding to each monitoring area is taken as the target safety data of the corresponding monitoring area.

2. The electrical panel explosion prevention device of claim 1, wherein The preset position is the midpoint position corresponding to the line connecting the two initial monitoring positions.

3. The electrical panel explosion prevention device of claim 1, wherein, The safety data of the preset position between any two initial monitoring positions is obtained by multiple interpolation iterations, and a safety data set is obtained, including: For the i-th interpolation iteration process, the safety data of the preset position between any two target monitoring positions is obtained by interpolation according to the safety data of any two target monitoring positions corresponding to the i-th interpolation iteration process; the safety data of each target monitoring position of the i-th interpolation iteration process is the safety data of each preset position obtained by the i-1-th interpolation iteration process; i is an integer greater than or equal to 2; The safety data set includes the safety data of each initial monitoring position and the safety data of each target monitoring position obtained in each interpolation iteration process.

4. The electrical panel explosion prevention device of claim 3, wherein, The stopping condition of interpolation iteration is: The preset position distance features of adjacent two iteration processes are obtained respectively, and the preset position distance feature is the average distance of all any two preset positions corresponding to the iteration process; If the difference between the preset position distance features of adjacent two iteration processes is less than a preset difference threshold, it is determined that the interpolation iteration is ended.

5. The electrical panel explosion prevention device of claim 1, wherein, Based on the target safety data, a safety control instruction is output, including: Based on the size relationship between the target safety data and the preset alert threshold, it is determined whether to output a safety alarm signal and a safety operation instruction, and the safety operation instruction is used to control the safety equipment to perform a safety action.

6. The electrical panel explosion prevention device of claim 1, wherein, The safety data detector includes a temperature sensor and a combustible gas concentration sensor.

7. A safety control method of an explosion-proof device of a power distribution cabinet, the control method being applied to an explosion-proof device of a power distribution cabinet, the explosion-proof device of the power distribution cabinet comprising a power distribution cabinet body, characterized in that, The control method includes: An acquisition of safety data at each initial monitoring position, each initial monitoring position being a different monitoring position arranged in the power distribution cabinet body; Based on the safety data at any two initial monitoring positions, the safety data of the preset position between the any two initial monitoring positions is obtained by interpolation; Based on the safety data of the preset position between any two initial monitoring positions, multiple interpolation iterations are performed to obtain a safety data set, and the safety data set includes the safety data obtained by each interpolation iteration; Based on the safety data set, the target safety data of the monitoring area corresponding to each initial monitoring position is obtained; Based on the target safety data, a safety control instruction is output.

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