A method, apparatus, equipment and storage medium for installing an elevator frequency converter

Abstract

This invention discloses a method, apparatus, device, and storage medium for setting an elevator frequency converter. The method includes: in this embodiment, collecting multiple raw environmental data and multiple raw state data simultaneously recorded during elevator operation. The raw environmental data describes the environment in which the elevator operates, and the raw state data describes parameters related to the power of the frequency converter in the elevator. One or more sets of raw environmental data are combined to form a target environment set, and one or more sets of raw state data are combined to form a target state set. Using the target environment set as an anchor point, association rules between the target environment set and the target state set are mined during elevator operation. Based on the association rules, power-related parameters are set for the frequency converter in the elevator. This ensures that the performance meets the elevator's operational needs, guarantees the elevator's safe operation, and avoids significant performance overkill, thus reducing costs.

Description

Technical Field

[0001] This invention relates to the technical field of elevators, and more particularly to a method, apparatus, device, and storage medium for setting up an elevator frequency converter. Background Technology

[0002] A frequency converter is an instrument specifically designed for elevator control. The frequency converter controls the elevator in an S-shape, meaning that the acceleration is relatively gentle during startup and shutdown, while the acceleration is faster during the middle phase, balancing passenger comfort and energy saving.

[0003] Currently, the choice of which frequency converter to configure for an elevator mainly relies on the engineer's experience. However, human judgment by engineers is prone to errors. Configuring a more powerful frequency converter for an elevator is more expensive, and if the performance is excessive, it leads to waste. Configuring a less powerful frequency converter for an elevator, if the performance is insufficient, will cause the elevator to operate under overload for a long time, making it prone to failure. Summary of the Invention

[0004] This invention provides a method, apparatus, device, and storage medium for setting up an elevator frequency converter, in order to solve the problem of balancing cost and safe operation when configuring a frequency converter for an elevator.

[0005] According to one aspect of the present invention, a method for setting up an elevator frequency converter is provided, comprising:

[0006] Multiple raw environmental data and multiple raw state data are collected and recorded simultaneously during elevator operation. The raw environmental data is used to describe the environment in which the elevator is located, and the raw state data is used to describe parameters related to the power of the frequency converter in the elevator.

[0007] Each of the aforementioned original environmental data is used to form a target environment set, and each of the aforementioned original state data is used to form a target state set.

[0008] Using the target environment set as anchor points, we mine the association rules between the target environment set and the target state set during elevator operation;

[0009] The inverter in the elevator is configured with power-related parameters according to the association rules.

[0010] Optionally, the collection of raw environmental data and raw state data recorded simultaneously during elevator operation includes:

[0011] Determine the dimensions of the observed elevator, including its type and model;

[0012] The raw environmental data and raw state data are collected simultaneously during the operation of the elevator in the aforementioned dimension.

[0013] Optionally, the step of forming a target environment set from one or more of the original environmental data and forming a target state set from one or more of the original state data includes:

[0014] If the value of the original environmental data within a unit of time is within one or more preset first intervals, then the original environmental data is determined to be the target environmental data.

[0015] If the value of the original state data within a unit of time is located in one or more preset second intervals, then the original state data is determined to be the target state data.

[0016] Combine one or more of the target environment data into a target environment set;

[0017] One or more of the target state data are combined into a target state set.

[0018] Optionally, the step of using the target environment set as an anchor point to mine the association rules between the target environment set and the target state set during elevator operation includes:

[0019] Calculate the confidence level of the occurrence of the target state set when the target environment set occurs during the operation of the elevator;

[0020] The confidence level is compared with a preset confidence condition;

[0021] If the confidence level satisfies the confidence condition, then the target environment set and the target state set are selected to establish an association rule.

[0022] Optionally, the statistical analysis of the confidence level of the occurrence of the target state set when the target environment set occurs during elevator operation includes:

[0023] Count the number of the first item set that appears when the target environment set does not appear when the elevator is running;

[0024] Count the number of the second item set of the target environment set and the target state set that occur when the elevator is running;

[0025] The ratio between the second set number and the first set number is calculated as the confidence level for the occurrence of the target state set when the target environment set occurs during elevator operation.

[0026] Optionally, setting power-related parameters for the frequency converter in the elevator according to the association rule includes:

[0027] Calculate the frequency of the target environment set in the association rules occurring during the elevator operation;

[0028] If the frequency is greater than a preset threshold, the rated values ​​of the power-related parameters in the frequency converter are set with reference to the target state set in the association rules.

[0029] Optionally, setting power-related parameters for the frequency converter in the elevator according to the association rule further includes:

[0030] Compare the target environment set in the association rules with preset environmental conditions;

[0031] If the target environment set in the association rule satisfies the environmental conditions, then the rated value of the power-related parameters in the frequency converter is adjusted according to the manner corresponding to the environmental conditions.

[0032] Optionally, the step of setting rated values ​​for the power-related parameters of the frequency converter by referring to the target state set in the association rule includes:

[0033] The elevators were clustered using the original environmental data to obtain multiple categories;

[0034] Match the original environmental data corresponding to the category with the target environment set in the association rules;

[0035] If a match is successful, the rated values ​​of the inverter and power-related parameters for all elevators in the category are set with reference to the target state set in the association rules.

[0036] According to another aspect of the present invention, an installation device for an elevator frequency converter is provided, comprising:

[0037] The system operates a data acquisition module to collect various raw environmental data and various raw state data recorded simultaneously during elevator operation. The raw environmental data describes the environment in which the elevator is located, and the raw state data describes parameters related to the power of the frequency converter in the elevator.

[0038] The execution set composition module is used to assemble one or more of the original environmental data into a target environment set and to assemble one or more of the original state data into a target state set, respectively.

[0039] The association rule mining module is used to mine association rules between the target environment set and the target state set when the elevator is running, using the target environment set as an anchor point.

[0040] The power parameter setting module is used to set power-related parameters for the frequency converter in the elevator according to the association rules.

[0041] Optionally, the operational data acquisition module includes:

[0042] The observation dimension determination module is used to determine the dimensions of the observed elevator, including its type and model.

[0043] The dimension acquisition module is used to acquire raw environmental data and raw state data recorded simultaneously during the operation of the elevator in the specified dimension.

[0044] Optionally, the runtime set component module includes:

[0045] The target environment data determination module is used to determine the original environment data as target environment data if the value of the original environment data within a unit time is located in one or more preset first intervals.

[0046] The target state data determination module is used to determine the original state data as target state data if the value of the original state data within a unit time is located in one or more preset second intervals.

[0047] The target environment set combination module is used to combine one or more of the target environment data into a target environment set;

[0048] The target state set combination module is used to combine one or more of the target state data into a target state set.

[0049] Optionally, the association rule mining module includes:

[0050] The confidence calculation module is used to calculate the confidence level of the occurrence of the target state set when the target environment set occurs during the operation of the elevator;

[0051] A confidence condition comparison module is used to compare the confidence level with a preset confidence condition;

[0052] The confidence establishment module is used to select the target environment set and the target state set to establish an association rule if the confidence level meets the confidence condition.

[0053] Optionally, the confidence calculation module includes:

[0054] The first item count module is used to count the first item count when the target environment set appears but the target state set does not appear during the operation of the elevator.

[0055] The second set statistics module is used to count the second set of the target environment set and the target state set that occur when the elevator is running.

[0056] The ratio calculation module is used to calculate the ratio between the second term set and the first term set, as the confidence level of the occurrence of the target state set when the target environment set occurs during the operation of the elevator.

[0057] Optionally, the power parameter setting module includes:

[0058] The frequency statistics module is used to count the frequency of the target environment set in the association rules appearing when the elevator is running;

[0059] The rated value setting module is used to set rated values ​​for power-related parameters in the frequency converter by referring to the target state set in the association rule if the frequency is greater than a preset threshold.

[0060] Optionally, the power parameter setting module further includes:

[0061] An environmental condition comparison module is used to compare the target environment set in the association rules with preset environmental conditions.

[0062] The rated value adjustment module is used to adjust the rated value of the power-related parameters in the frequency converter in accordance with the manner corresponding to the environmental conditions if the target environment set in the association rule meets the environmental conditions.

[0063] Optionally, the rated value setting module includes:

[0064] An elevator clustering module is used to cluster the elevators using the original environmental data to obtain multiple categories;

[0065] The category matching module is used to match the original environmental data corresponding to the category with the target environment set in the association rules;

[0066] The category setting module is used to set rated values ​​for the inverter and power-related parameters of all elevators in the category, referring to the target state set in the association rule, if a match is successful.

[0067] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0068] At least one processor; and

[0069] A memory communicatively connected to the at least one processor; wherein,

[0070] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the elevator inverter setting method according to any embodiment of the present invention.

[0071] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program, the computer program being configured to cause a processor to execute and implement the elevator frequency converter setting method according to any embodiment of the present invention.

[0072] In this embodiment, multiple raw environmental data and multiple raw state data are collected simultaneously during elevator operation. The raw environmental data describes the elevator's environment, and the raw state data describes parameters related to the power of the elevator's inverter. One or more sets of raw environmental data are combined to form a target environment set, and one or more sets of raw state data are combined to form a target state set. Using the target environment set as an anchor, association rules between the target environment set and the target state set are mined during elevator operation. Based on these association rules, power-related parameters are set for the elevator's inverter. By statistically analyzing the correlation between the elevator's environment and the inverter's state using big data, power-related parameters in the inverter can be set. This fact-based approach avoids biases in engineers' judgments. Based on these parameters, a suitable inverter can be configured for the elevator, ensuring performance meets the elevator's operational needs, guaranteeing safe operation, and avoiding significant performance overkill, thus reducing costs.

[0073] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0074] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0075] Figure 1 This is a flowchart of a method for setting up an elevator frequency converter according to Embodiment 1 of the present invention;

[0076] Figure 2 This is a schematic diagram of the structure of an elevator frequency converter installation device according to Embodiment 2 of the present invention;

[0077] Figure 3 This is a schematic diagram of the structure of an electronic device that implements the elevator inverter setting method of the present invention. Detailed Implementation

[0078] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0079] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0080] Example 1

[0081] Figure 1 This is a flowchart of a method for setting an elevator frequency converter according to Embodiment 1 of the present invention. This embodiment is applicable to exploring the relationship between the elevator's operating environment and the state of the frequency converter, thereby setting the power of the frequency converter according to this relationship. This method can be executed by an elevator frequency converter setting device, which can be implemented in hardware and / or software, and can be configured in an electronic device. Figure 1 As shown, the method includes:

[0082] Step 101: Collect various raw environmental data and various raw state data recorded simultaneously during elevator operation.

[0083] In this embodiment, some elevators can be set as samples for excavation. When these elevators are running normally, their operation data are recorded simultaneously, and various original environmental data and various original state data are divided into them.

[0084] The raw environmental data is used to describe the environment in which the elevator is located.

[0085] For example, the raw environmental data includes at least one of the following:

[0086] Scene (e.g., commercial, residential), number of floors, load capacity, number of runs, starting floor, arrival floor, and time.

[0087] The raw state data is used to describe parameters related to the power of the frequency converter in the elevator.

[0088] For example, the raw state data includes at least one of the following:

[0089] Bus input current, bus input voltage, starting current, output current, output voltage, and temperature.

[0090] In practical applications, the environment in which the elevator operates will affect the frequency, duration and load of the elevator. The load will affect the current of the motor in the frequency converter. The frequency and duration of use will cause the temperature rise of the frequency converter (especially when the power module in the frequency converter is mismatched with the power of the motor, it is more likely to cause abnormal temperature). All of these factors may lead to frequency converter failure.

[0091] Of course, the above-mentioned original environmental data and original state data are merely examples. When implementing the embodiments of the present invention, other original environmental data and original state data can be set according to the actual situation, and the embodiments of the present invention do not impose any limitations on this. In addition, besides the above-mentioned original environmental data and original state data, those skilled in the art can also use other original environmental data and original state data according to actual needs, and the embodiments of the present invention do not impose any limitations on this.

[0092] Furthermore, one or more dimensions of the observed elevator can be determined. That is, a large amount of raw environmental data and raw state data can be accumulated in elevators with the same one or more dimensions, so as to explore the relationship between the elevator's operating environment (i.e., raw environmental data) and the inverter's state (i.e., raw state data) under these one or more dimensions.

[0093] For example, this dimension includes type and model. The type of elevator is also known as the elevator type, and the model of the elevator can be set by the elevator design and / or manufacturing manufacturer. Under a given type and model, the hardware of the elevator is basically the same, which can eliminate the influence of hardware differences to a certain extent and can better ensure the accuracy of mining the relationship between the elevator's operating environment and the state of the frequency converter.

[0094] Based on their power source, elevators can be categorized as follows:

[0095] 1. AC elevator

[0096] Elevators that use AC induction motors as their driving force can be further classified according to their drive method, such as AC single-speed, AC dual-speed, AC voltage-regulating speed control, and AC variable voltage frequency speed control.

[0097] 2. DC elevator

[0098] Elevators that use DC motors as their driving force generally have a rated speed of 2.00 m / s or higher.

[0099] 3. Hydraulic elevator

[0100] Generally, it refers to an elevator that uses an electric pump to drive the flow of liquid and a plunger to raise and lower the car.

[0101] 4. Gear and rack elevator

[0102] An elevator is an elevator in which the guide rails are machined into racks, the car is fitted with gears that mesh with the racks, and the motor drives the gears to rotate, thus raising and lowering the car.

[0103] 5. Screw elevator

[0104] The plunger of the direct-drive elevator is machined into a rectangular thread, and a large nut with a thrust bearing is installed on the top of the cylinder. Then, the nut is rotated by a motor via a reducer (or belt), thereby causing the screw to lift the elevator car up or down.

[0105] 6. Linear motor

[0106] An elevator driven by a linear motor is powered by a linear motor.

[0107] Of course, in addition to type and model, other dimensions can be set, such as service life, etc. This embodiment does not limit this.

[0108] By collecting raw environmental data and raw state data simultaneously recorded during elevator operation under the same dimension, a mapping relationship is established between the dimension and the raw environmental data and raw state data.

[0109] Step 102: Combine one or more original environmental data into a target environment set and combine one or more original state data into a target state set.

[0110] In practical applications, both the original environmental data and the original state data are discrete values ​​and have certain fluctuations. In order to facilitate the exploration of the relationship between the elevator's operating environment and the inverter's state, one or more original environmental data can be selected to form a target environment set, and one or more original state data can be selected to form a target state set.

[0111] In a practical implementation, one or more first intervals can be set for each type of raw environmental data, and the values ​​of the raw environmental data within a unit of time (such as one minute) can be statistically analyzed. The values ​​of the raw environmental data within a unit of time are then compared with the one or more first intervals.

[0112] If the value of the original environmental data within a unit of time is located in one or more preset first intervals, then the original environmental data is determined to be the target environmental data. For easy identification, a label can be configured for each target environmental data, denoted as an environmental label. In this way, one or more target environmental data can be combined into a target environment set in a permutation and combination manner. Then, the target environment set is a set of environmental labels.

[0113] In addition, one or more second intervals can be set for each type of raw state data, and the values ​​of the raw state data within a unit of time (such as one minute) can be statistically analyzed and compared with the values ​​of the raw state data within a unit of time.

[0114] If the value of the original state data within a unit of time is located in one or more preset second intervals, then the original state data is determined to be the target state data. For easy identification, a label can be configured for each target state data, denoted as a state label. One or more target state data are combined into a target state set according to permutation and combination. Then, the target state set is the set of state labels.

[0115] In one example, the raw environmental data and its corresponding first interval are shown in the table below. The values ​​of the raw environmental data (such as the average value) are calculated for each minute. If a value matches the first interval, the corresponding environmental label is assigned to it.

[0116] Raw environmental data First section Environmental Labels Number of runs Less than 10 A1 Number of runs Greater than 10, less than 20 A2 Total runtime Less than 10 B2 Load capacity Less than 10 C1 Load capacity Greater than 10, less than 20 C2 …… …… ……

[0117] In addition, the original state data and its corresponding second interval are shown in the table below. The values ​​of the original state data (such as the average value) are counted every minute. If the value matches the second interval, the corresponding state label is assigned to it.

[0118] Original state data Second section Status Label Output current Less than 30 D1 Output current Greater than 30, less than 40 D2 Output voltage Less than 200 E1 Output voltage Greater than 200, less than 300 E2 …… …… ……

[0119] Step 103: Using the target environment set as the anchor point, mine the association rules between the target environment set and the target state set during elevator operation.

[0120] In this embodiment, the target environment set can be set as the anchor point, and then the association rules between the target environment set and the target state set during elevator operation can be mined by algorithms such as Apriori. That is, given the target environment set, the target state set that has a significant correlation with the target environment set during elevator operation is mined, so that the two form an association rule.

[0121] In practical implementation, considering that the target environment set and the target state set are usually co-occurring when there is a significant correlation, the co-occurrence of the target environment set and the target state set can be analyzed in all elevator operation data to calculate the confidence level of the occurrence of the target state set when the target environment set occurs during elevator operation.

[0122] For example, on the one hand, the number N of the first item set that appears when the elevator is running but does not appear when the target environment set appears can be counted; on the other hand, the number n of the second item set that appears when the elevator is running and the target environment set appears when the target state set appears can be counted.

[0123] Calculate the ratio n / N between the second term set n and the first term set N, and use it as the confidence level for the occurrence of the target state set when the target environment set occurs during elevator operation.

[0124] For example, in the table above, if the target environment set is {A1, B2, C1} and the target state set is {D1, E2}, count the number of first item sets N where {A1, B2, C1} appears but {D1, E2} does not appear, and the number of second item sets n where {A1, B2, C1, D1, E2} appears. Then, the confidence level of {D1, E2} appearing when {A1, B2, C1} appears is n / N.

[0125] The confidence level is compared with a preset confidence condition, which can be set according to actual business needs, such as a confidence level greater than a threshold, a confidence level of the maximum value, etc.

[0126] If the confidence level meets the confidence condition, then the target environment set and the target state set can be selected to establish an association rule.

[0127] For example, for the table above, assuming the association rule {A1, B2, C1} → {D1, E2} holds, this association rule means that when the elevator runs less than 10 times per minute, the total running time is less than 10, and the average load rate is less than 10, the input current of the frequency converter is basically less than 30 and the voltage is basically less than 200.

[0128] Step 104: Set power-related parameters for the frequency converter in the elevator according to the association rules.

[0129] Association rules are the relationship between the operating environment of a portion of the elevators (i.e., the original environment data) and the state of the frequency converter (i.e., the original state data). Therefore, in this embodiment, all elevators can be set as the target of the frequency converter to be adjusted, and parameters related to power, such as current and voltage, can be set for the frequency converter in the elevators with reference to the association rules.

[0130] Furthermore, if multiple raw environmental data and multiple raw state data are collected simultaneously during elevator operation in one or more dimensions (such as type and model), and the relationship between the elevator operation environment (i.e., raw environmental data) and the inverter state (i.e., raw state data) is explored, then association rules can be used to set power-related parameters for the inverters in elevators under the same dimensions (such as type and model).

[0131] In one embodiment of the present invention, step 104 may include the following steps:

[0132] Step 1041: Calculate the frequency of the target environment set in the association rules when the elevator is running.

[0133] The target environment set in the association rule represents different working conditions. In this embodiment, the frequency of occurrence of the target environment set in the association rule during elevator operation can be counted, thereby counting the frequency of occurrence of each working condition during elevator operation.

[0134] Step 1042: If the frequency is greater than the preset threshold, then set the rated values ​​for the power-related parameters in the frequency converter by referring to the target state set in the association rules.

[0135] The frequency of each working condition is compared with a preset threshold. If the frequency of a certain working condition is greater than the threshold, it means that the frequency of that working condition is relatively high and can be considered as the majority of working conditions.

[0136] For example, assuming that all elevator operation conditions follow a normal distribution, and 80% of the operation data (target environment set) are: 25% load, 5 trips per minute, 15-meter travel distance, and 20-second cumulative duration, then this operating condition can be considered the majority of operating conditions.

[0137] Most operating conditions can be used as reference conditions for designing frequency converters, serving as the basis for their design. In this case, the rated values ​​of power-related parameters in the frequency converter can be set by referring to the target state set in the association rules.

[0138] Furthermore, elevators can be clustered using raw environmental data through algorithms such as k-means to obtain multiple categories.

[0139] Match the original environmental data corresponding to the category with the target environment set in the association rules.

[0140] If a match is successful, the rated values ​​of the inverter and power-related parameters for all elevators in the category are set with reference to the target state set in the association rules.

[0141] In one embodiment of the present invention, step 104 may further include the following steps:

[0142] Step 1043: Compare the target environment set in the association rule with the preset environment conditions.

[0143] Step 1044: If the target environment set in the association rule meets the environment conditions, then adjust the rated values ​​of the power-related parameters in the frequency converter according to the method corresponding to the environment conditions.

[0144] In this embodiment, some environmental settings with additional safety requirements can be preset, referred to as environmental conditions. These environmental conditions are associated with adjusting the rated values ​​of power-related parameters in the frequency converter, such as increasing or decreasing the rated values, as a supplement to setting the rated values ​​of power-related parameters in the frequency converter to meet additional safety requirements.

[0145] The target environment set in the association rule is compared with the preset environmental conditions. If the target environment set in the association rule meets the environmental conditions, it means that the environment represented by the target environment set has additional safety requirements. Then, the rated values ​​of the power-related parameters in the frequency converter are adjusted according to the environmental conditions.

[0146] For example, for elevators used in commercial applications, if the load (target environmental set) is close to saturation (environmental conditions), the rated current of the frequency converter (a power-related parameter) can be increased.

[0147] For example, the running time and number of trips of elevators on high floors (target environment set) will be larger (environmental conditions), which can more accurately match the power of the power module and motor (power-related parameters) and reduce module temperature rise.

[0148] In this embodiment, multiple raw environmental data and multiple raw state data are collected simultaneously during elevator operation. The raw environmental data describes the elevator's environment, and the raw state data describes parameters related to the power of the elevator's inverter. One or more sets of raw environmental data are combined to form a target environment set, and one or more sets of raw state data are combined to form a target state set. Using the target environment set as an anchor, association rules between the target environment set and the target state set are mined during elevator operation. Based on these association rules, power-related parameters are set for the elevator's inverter. By statistically analyzing the correlation between the elevator's environment and the inverter's state using big data, power-related parameters in the inverter can be set. This fact-based approach avoids biases in engineers' judgments. Based on these parameters, a suitable inverter can be configured for the elevator, ensuring performance meets the elevator's operational needs, guaranteeing safe operation, and avoiding significant performance overkill, thus reducing costs.

[0149] Example 2

[0150] Figure 2 This is a schematic diagram of the structure of an elevator frequency converter installation device provided in Embodiment 2 of the present invention. Figure 2 As shown, the device includes:

[0151] The data acquisition module 201 is used to collect various raw environmental data and various raw state data recorded simultaneously during elevator operation. The raw environmental data is used to describe the environment in which the elevator is located, and the raw state data is used to describe parameters related to the power of the frequency converter in the elevator.

[0152] The execution set composition module 202 is used to compose one or more of the original environmental data into a target environment set and to compose one or more of the original state data into a target state set, respectively.

[0153] The association rule mining module 203 is used to mine association rules between the target environment set and the target state set when the elevator is running, using the target environment set as an anchor point.

[0154] The power parameter setting module 204 is used to set power-related parameters for the frequency converter in the elevator according to the association rules.

[0155] In one embodiment of the present invention, the running data acquisition module 201 includes:

[0156] The observation dimension determination module is used to determine the dimensions of the observed elevator, including its type and model.

[0157] The dimension acquisition module is used to acquire raw environmental data and raw state data recorded simultaneously during the operation of the elevator in the specified dimension.

[0158] In one embodiment of the present invention, the running set composition module 202 includes:

[0159] The target environment data determination module is used to determine the original environment data as target environment data if the value of the original environment data within a unit time is located in one or more preset first intervals.

[0160] The target state data determination module is used to determine the original state data as target state data if the value of the original state data within a unit time is located in one or more preset second intervals.

[0161] The target environment set combination module is used to combine one or more of the target environment data into a target environment set;

[0162] The target state set combination module is used to combine one or more of the target state data into a target state set.

[0163] In one embodiment of the present invention, the association rule mining module 203 includes:

[0164] The confidence calculation module is used to calculate the confidence level of the occurrence of the target state set when the target environment set occurs during the operation of the elevator;

[0165] A confidence condition comparison module is used to compare the confidence level with a preset confidence condition;

[0166] The confidence establishment module is used to select the target environment set and the target state set to establish an association rule if the confidence level meets the confidence condition.

[0167] In one embodiment of the present invention, the confidence calculation module includes:

[0168] The first item count module is used to count the first item count when the target environment set appears but the target state set does not appear during the operation of the elevator.

[0169] The second set statistics module is used to count the second set of the target environment set and the target state set that occur when the elevator is running.

[0170] The ratio calculation module is used to calculate the ratio between the second term set and the first term set, as the confidence level of the occurrence of the target state set when the target environment set occurs during the operation of the elevator.

[0171] In one embodiment of the present invention, the power parameter setting module 204 includes:

[0172] The frequency statistics module is used to count the frequency of the target environment set in the association rules appearing when the elevator is running;

[0173] The rated value setting module is used to set rated values ​​for power-related parameters in the frequency converter by referring to the target state set in the association rule if the frequency is greater than a preset threshold.

[0174] In one embodiment of the present invention, the power parameter setting module 204 further includes:

[0175] An environmental condition comparison module is used to compare the target environment set in the association rules with preset environmental conditions.

[0176] The rated value adjustment module is used to adjust the rated value of the power-related parameters in the frequency converter in accordance with the manner corresponding to the environmental conditions if the target environment set in the association rule meets the environmental conditions.

[0177] In one embodiment of the present invention, the rated value setting module includes:

[0178] An elevator clustering module is used to cluster the elevators using the original environmental data to obtain multiple categories;

[0179] The category matching module is used to match the original environmental data corresponding to the category with the target environment set in the association rules;

[0180] The category setting module is used to set rated values ​​for the inverter and power-related parameters of all elevators in the category, referring to the target state set in the association rule, if a match is successful.

[0181] The elevator inverter setting device provided in this embodiment of the invention can execute the elevator inverter setting method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the elevator inverter setting method.

[0182] Example 3

[0183] Figure 3 A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0184] like Figure 3 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0185] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0186] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the setup method for an elevator frequency converter.

[0187] In some embodiments, the elevator inverter setup method can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the elevator inverter setup method described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform the elevator inverter setup method by any other suitable means (e.g., by means of firmware).

[0188] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0189] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0190] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0191] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0192] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0193] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0194] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0195] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for setting up an elevator frequency converter, characterized in that, include: Multiple raw environmental data and multiple raw state data are collected and recorded simultaneously during elevator operation. The raw environmental data is used to describe the environment in which the elevator is located, and the raw state data is used to describe parameters related to the power of the frequency converter in the elevator. Each of the aforementioned original environmental data is used to form a target environment set, and each of the aforementioned original state data is used to form a target state set. Using the target environment set as anchor points, we mine the association rules between the target environment set and the target state set during elevator operation; The inverter in the elevator is configured with power-related parameters according to the association rules. The step of using the target environment set as an anchor point to mine the association rules between the target environment set and the target state set during elevator operation includes: Count the number of the first item set that appears when the target environment set does not appear when the elevator is running; Count the number of the second item set of the target environment set and the target state set that occur when the elevator is running; The ratio between the second set number and the first set number is calculated as the confidence level of the occurrence of the target state set when the target environment set occurs during the operation of the elevator. The confidence level is compared with a preset confidence condition; If the confidence level satisfies the confidence condition, then the target environment set and the target state set are selected to establish an association rule.

2. The method according to claim 1, characterized in that, The raw environmental data and raw state data collected simultaneously during elevator operation include: Determine the dimensions of the observed elevator, including its type and model; The raw environmental data and raw state data are collected simultaneously during the operation of the elevator in the aforementioned dimension.

3. The method according to claim 1, characterized in that, The steps of forming a target environment set from one or more of the original environmental data and forming a target state set from one or more of the original state data include: If the value of the original environmental data within a unit of time is within one or more preset first intervals, then the original environmental data is determined to be the target environmental data. If the value of the original state data within a unit of time is located in one or more preset second intervals, then the original state data is determined to be the target state data. Combine one or more of the target environment data into a target environment set; One or more of the target state data are combined into a target state set.

4. The method according to any one of claims 1-3, characterized in that, The step of setting power-related parameters for the frequency converter in the elevator according to the association rule includes: Calculate the frequency of the target environment set in the association rules occurring during the elevator operation; If the frequency is greater than a preset threshold, the rated values ​​of the power-related parameters in the frequency converter are set with reference to the target state set in the association rules.

5. The method according to claim 4, characterized in that, The step of setting power-related parameters for the frequency converter in the elevator according to the association rule further includes: Compare the target environment set in the association rules with preset environmental conditions; If the target environment set in the association rule satisfies the environmental conditions, then the rated value of the power-related parameters in the frequency converter is adjusted according to the manner corresponding to the environmental conditions.

6. The method according to claim 4, characterized in that, The step of setting rated values ​​for the power-related parameters of the frequency converter by referring to the target state set in the association rules includes: The elevators were clustered using the original environmental data to obtain multiple categories; Match the original environmental data corresponding to the category with the target environment set in the association rules; If a match is successful, the rated values ​​of the inverter and power-related parameters for all elevators in the category are set with reference to the target state set in the association rules.

7. A device for installing an elevator frequency converter, characterized in that, include: The system operates a data acquisition module to collect various raw environmental data and various raw state data recorded simultaneously during elevator operation. The raw environmental data describes the environment in which the elevator is located, and the raw state data describes parameters related to the power of the frequency converter in the elevator. The execution set composition module is used to assemble one or more of the original environmental data into a target environment set and to assemble one or more of the original state data into a target state set, respectively. The association rule mining module is used to mine association rules between the target environment set and the target state set when the elevator is running, using the target environment set as an anchor point. A power parameter setting module is used to set power-related parameters for the frequency converter in the elevator according to the association rules. The association rule mining module includes: The first item count module is used to count the first item count when the target environment set appears but the target state set does not appear during the operation of the elevator. The second set statistics module is used to count the second set of the target environment set and the target state set that occur when the elevator is running. The ratio calculation module is used to calculate the ratio between the second term set and the first term set, as the confidence level of the occurrence of the target state set when the target environment set occurs during the operation of the elevator; A confidence condition comparison module is used to compare the confidence level with a preset confidence condition; The confidence establishment module is used to select the target environment set and the target state set to establish an association rule if the confidence level meets the confidence condition.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the elevator inverter setting method according to any one of claims 1-7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the elevator frequency converter setting method according to any one of claims 1-7.

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