Intelligent Park Elevator Control Method

Abstract

The present invention discloses a method for controlling elevators in a smart park, belonging to the field of intelligent control technology. The implementation of the method includes: when the elevator is in normal operation, personnel in front of the elevator on a certain floor send an elevator ride demand through the elevator call button. After confirming the existence of waiting passengers, a ride task for this floor is established. The elevator control system sequentially queries the operating states of each elevator in turn, and determines a set of elevators that meet the ride demand of this floor according to the standby stop positions, operating routes, load states of each elevator and the ride demands of each floor. The elevator closest to this floor in the set is selected to execute the ride task. After the elevator completes the ride task, it runs to the floor determined by the expert system to standby. The present invention comprehensively considers parameters such as standby stop positions, floor ride demands and elevator load rates that affect the elevator operation efficiency, and provides a more reliable and reasonable elevator control method.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent control, and more specifically, relates to the control of passenger elevators in a smart park. Background Art

[0002] Passenger elevators are important equipment in park buildings, and their stock is huge. According to the investigation and statistics of the electricity consumption in the park, the electricity consumed by passenger elevators even reaches more than a quarter of the total electricity consumption in the park, second only to the electricity consumption of air conditioners in the park, and higher than the electricity consumption of other electrical facilities such as lighting and water use in the park. With the continuous expansion of modern production scale and the continuous improvement of people's living standards, the contradiction between electricity supply and demand is becoming increasingly prominent, and the call for electricity conservation is rising. By improving the operating efficiency of elevators, electricity consumption can be effectively saved.

[0003] On the other hand, with the development of society, the population density in the park is increasing continuously. The current elevator control strategy is not intelligent enough. Especially during the peak elevator usage period, problems such as frequent elevator stops and many false elevator usage demands restrict the improvement of elevator operating efficiency. The traditional elevator control method has been difficult to meet the requirements of people's high-efficiency work rhythm. Summary of the Invention

[0004] In view of the above defects or improvement requirements of the prior art, the present invention proposes a smart park elevator control method. Considering the characteristics of the operation of passenger elevators in a smart park, parameters such as the standby stop position, floor elevator usage demand, and elevator load rate that affect the elevator operating efficiency are comprehensively considered, and a more reliable and reasonable elevator control method is given.

[0005] To achieve the above object, the present invention provides a smart park elevator control method, including:

[0006] In the normal operation state of the elevator, receive the elevator usage demand instruction sent by the personnel in the elevator lobby of the target floor through the elevator call button;

[0007] After identifying the waiting passengers in the elevator lobby of the target floor, establish the current floor elevator usage task, and sequentially query the operating status of each elevator in turn;

[0008] According to the standby stop position, operating route, load status of each elevator, and the elevator usage demand of each floor, determine the elevator set that meets the elevator usage demand instruction of the current floor;

[0009] Select the elevator closest to the current floor in the set to execute the elevator usage task, and after the elevator completes the elevator usage task, run to the floor determined by the preset elevator standby stop position knowledge base to standby.

[0010] In some alternative embodiments, the operating state of each elevator is determined by Qn = {(Dn * Pn ≤ Km) ∪ (Dn = 0)} ∩ (Ln ≤ preset load rate value) to determine that the nth elevator is currently available for the mth floor, where m represents the floor number, m is an integer; n represents the elevator number, n is an integer greater than 0; Km represents the elevator demand instruction for the mth floor, and Km takes integer values of -m, 0, or m. Km = 0 indicates that there is no elevator demand on the mth floor, Km = m indicates that the elevator demand on the mth floor is upward, and Km = -m indicates that the elevator demand on the mth floor is downward; Qn represents the operating state of the nth elevator, and Qn takes binary values of 0 or 1. Qn = 0 indicates that the nth elevator is currently unavailable, and Qn = 1 indicates that the nth elevator is currently available; Pn represents the floor number where the real-time position of the nth elevator is located, and Pn takes an integer; Dn represents the running direction of the nth elevator, and Dn takes integer values of 0, 1, or -1. Dn = 0 indicates standby, Dn = 1 indicates upward, and Dn = -1 indicates downward; Ln represents the load rate of the nth elevator.

[0011] In some alternative embodiments, the determination of the preset elevator standby stop position knowledge base is as follows:

[0012] Collect the expert knowledge of elevator standby stop positions from elevator operation statistical data, where the expert knowledge of elevator standby stop positions includes elevator standby stop positions in the cases of different elevator numbers and different elevator operation time periods;

[0013] Use the rule method to express the expert knowledge of elevator standby stop positions, generate a fact base and a rule base. The fact base is divided and created according to the principles of different elevator numbers and different elevator operation time periods, and the rule base is a rule base established by combining the facts in the created fact base. Match the premise facts in the rule base with the facts of different elevator numbers and different elevator operation time periods.

[0014] In some alternative embodiments, the determination method of the standby stop positions of each elevator is as follows:

[0015] Based on the elevator number and the elevator operation time period, perform knowledge reasoning through an inference engine based on the preset elevator standby stop position knowledge base to obtain the elevator standby stop position.

[0016] In some alternative embodiments, the performing knowledge reasoning through an inference engine based on the preset elevator standby stop position knowledge base according to the elevator number and the elevator operation time period to obtain the elevator standby stop position includes:

[0017] Match the elevator number and the elevator operation time period with the facts in the fact base item by item and generate facts;

[0018] Match the rule premises in the rule base with the elevator numbers and elevator operation time period facts in the generated facts;

[0019] Extract the premises of each rule and verify whether the extracted premises are in the rule base. If they are all in the rule base, the matching is successful; otherwise, take the next rule for matching;

[0020] Output the conclusion of the successfully matched rule to obtain the elevator standby stop position.

[0021] In some alternative embodiments, the method further includes:

[0022] Update and correct the preset elevator standby stop position knowledge base through the statistical data of elevator operation.

[0023] Generally speaking, compared with the prior art, the above technical solutions conceived by the present invention can achieve the following beneficial effects:

[0024] The present invention is an elevator control method based on an expert system. In the normal operation state of the elevator, when a person in front of the elevator hall on a certain floor issues a ride request by pressing the elevator button, after confirming the existence of waiting passengers, a ride task for this floor is established. The elevator control system sequentially queries the operation states of each elevator in turn, and determines a set of elevators that meet the ride demand of this floor according to the standby stop positions, operation routes, load states of each elevator and the ride demands of each floor, and selects the elevator closest to this floor in the set to execute the ride task. After the elevator completes the ride task, it runs to the floor determined by the expert system to standby. The present invention comprehensively considers parameters such as the standby stop position, floor ride demand and elevator load rate that affect the elevator operation efficiency, and provides a more reliable and reasonable elevator control method. Brief Description of the Drawings

[0025] Figure 1 is a schematic diagram of an elevator control method provided by an embodiment of the present invention;

[0026] Figure 2 is a schematic diagram of the principle of an elevator standby stop position expert system provided by an embodiment of the present invention;

[0027] Figure 3 is a flowchart of an elevator control program provided by an embodiment of the present invention. Detailed Embodiments

[0028] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0029] The present invention is an elevator control method based on an expert system. In the normal operation state of the elevator, when a person in front of the elevator hall on a certain floor issues an elevator ride demand instruction through the elevator call button, and the intelligent camera installed in the elevator hall confirms the existence of waiting passengers through image recognition, a ride task for this floor is established. The elevator control system sequentially queries the operating states of each elevator in turn, and determines a set of elevators that meet the elevator ride demand instruction for this floor according to the standby stop positions, operating routes, load states of each elevator, and the elevator ride demands of each floor. The elevator closest to this floor in the set is selected to execute the ride task, and this floor is added to the set of floor numbers that the selected elevator needs to stop at along the way. After the elevator completes the ride task, it runs to the floor determined by the preset elevator standby stop position knowledge base to standby. The principle of its solution is as Figure 1 shown.

[0030] Figure 1 In the figure, m represents the floor number, and m takes an integer; n represents the elevator number, and n takes an integer greater than 0; Rm represents the number of waiting passengers on the mth floor, in units of individuals; Km represents the elevator ride demand instruction for the mth floor, and Km takes integer values of -m, 0, or m. Km = 0 indicates that there is no elevator ride demand on the mth floor, Km = m indicates that the elevator ride demand on the mth floor is upward, and Km = -m indicates that the elevator ride demand on the mth floor is downward; Fn represents the set of floor numbers that the nth elevator needs to stop at along the way; Qn represents the operating state of the nth elevator, and Qn takes binary values of 0 or 1. As shown in Equation (1), Qn = 0 indicates that the nth elevator is currently unavailable, and Qn = 1 indicates that the nth elevator is currently available; Pn represents the floor number where the real-time position of the nth elevator is located, and Pn takes an integer; Dn represents the running direction of the nth elevator, and Dn takes integer values of 0, 1, or -1. Dn = 0 indicates standby, Dn = 1 indicates upward, and Dn = -1 indicates downward; Ln represents the load rate of the nth elevator, and Ln takes values from 0 to 100%;

[0031] Qn = {(Dn * Pn ≤ Km) ∪ (Dn = 0)} ∩ (Ln ≤ 95%) (1)

[0032] Equation (1) means that if the mth floor with an elevator ride demand is on the operating route of the nth elevator, and the load rate of the nth elevator ≤ 95%, then the nth elevator is currently available for the mth floor.

[0033] In the embodiment of the present invention, the principle of the elevator standby stop position expert system is as Figure 2As shown in the figure, in the figure, X represents the input of the expert system man-machine interface, including the elevator number, the elevator operation time period, and the management input to the knowledge base; Y represents the expert system output, which here refers to the elevator standby docking position; the elevator control man-machine interface refers to the terminal of the elevator control system; knowledge management is the knowledge maintenance such as adding, deleting, and modifying the knowledge in the knowledge base; the knowledge base is the collection of decision-making knowledge and experience knowledge of the elevator standby docking position decision-making expert; the inference engine is a set of programs that processes the knowledge base according to the elevator number and the elevator operation time period, and feeds the inference result back to the elevator control man-machine interface.

[0034] In the embodiment of the present invention, creating a preset elevator standby docking position knowledge base can be achieved through the following methods:

[0035] (1) Knowledge collection

[0036] The expert knowledge of the elevator standby docking position is collected from the statistical data of the elevator operation. Now, according to the actual operation situation of the elevators in a certain large-scale park building, the common standby docking positions of two elevators are listed, as shown in Table 1.

[0037] Table 1 Elevator standby docking position table (building)

[0038]

[0039] (2) Knowledge expression

[0040] The rule method is used to express the expert knowledge of liquid level measurement. Its standard program structure is "if - then" (IF - THEN), that is, to evaluate a situation. If the situation is true, then take action. According to the expert knowledge in Table 1, after being expressed by the rule method, two parts, namely the fact base and the rule base, are generated.

[0041] 1) Generate the fact base

[0042] Facts are divided and created according to the principles of different elevator numbers and different elevator operation time periods. If the control requirements are increased, the facts are refined; if the control requirements are decreased, the facts are coarsened. Now, according to the information in Table 1, the facts are divided, and the established fact base is shown in Table 2, including facts such as "Fact 1",......, "Fact G".

[0043] Table 2 Fact base

[0044] Serial number Fact Serial number Fact Fact 1 1# Elevator Fact A 0:00～8:00 Fact 2 2# Elevator Fact B 8:00～9:00 … … Fact G 18:00～00:00

[0045] 2) Generate the rule base

[0046] A rule base is established by combining the facts in the already created fact base. As shown in Table 3, it contains facts such as "Rule 1A",..., "Rule 2G". Among them, the rule "Rule 1A" expresses the expert knowledge that "if it is Elevator No. 1 AND in the time period from 0:00 to 8:00; then the standby stop position of the elevator is the 1st floor".

[0047] Table 3 Rule Base

[0048] Serial number Rule Rule 1A IF Fact 1 AND Fact A; THEN the standby stop position of the elevator is the 1st floor Rule 1B IF Fact 1 AND Fact B; THEN the standby stop position of the elevator is the 6th floor ...... ...... Rule 1G IF Fact 1 AND Fact G; THEN the standby stop position of the elevator is the 1st floor ...... ...... Rule 2A IF Fact 2 AND Fact A; THEN the standby stop position of the elevator is the -1st floor Rule 2B IF Fact 2 AND Fact B; THEN the standby stop position of the elevator is the 6th floor ...... ...... Rule 2G IF Fact 2 AND Fact G; THEN the standby stop position of the elevator is the -1st floor

[0049] In the embodiment of the present invention, the expert system for the standby stop position of the elevator performs knowledge reasoning through an inference engine to obtain the standby stop position of each elevator at different operation stages. Specifically, it can be implemented in the following ways:

[0050] The inference engine of the expert system for the standby stop position of the elevator adopts the forward reasoning method. It processes the facts and rules in the preset knowledge base for the standby stop position of the elevator according to the known conditions such as the elevator number and the elevator operation time period input by the user. Its reasoning principle is:

[0051] If fact M is true and there is a rule "TF M THEN N", then N is true.

[0052] Therefore, if the known conditions input by the user satisfy Fact 1 and Fact A in the fact base, and there is a rule in the rule base "IF Fact 1 AND Fact A; THEN the standby stop position of the elevator is the 1st floor"; then it can be obtained that the standby stop position of the elevator is the 1st floor.

[0053] The working process of the inference engine is as follows:

[0054] 1) Match the known conditions input by the user with the facts in the fact base item by item and generate facts;

[0055] 2) Match the premises of the rules in the rule base with the generated facts of the elevator number and the elevator operation time period; Take out the <premises> of each rule and verify whether these premises are in the library. If they are all in, the match is successful; otherwise, take the next rule for matching;

[0056] 3) Output the <conclusion> of the successfully matched rule to obtain the standby stop position of the elevator and perform the next calculation;

[0057] 4) According to the above steps, infer the standby stop positions of all passenger elevators in the intelligent park building in the sprinkler irrigation area.

[0058] Combined with the actual measured positions, operation routes, load states of each elevator and the elevator usage requirements of each floor, optimize the control of the elevator.

[0059] Such as Figure 3As shown in the figure, a set of programs are compiled as an inference engine according to the above reasoning method. When the elevator is running normally, the elevator control method is implemented according to the following steps:

[0060] The first step: Initialize the elevator control system: The user enters the elevator number and the elevator operation time period, and creates a fact library and a rule library according to expert knowledge;

[0061] The second step: m = the lowest floor number;

[0062] The third step: Update and correct the preset elevator standby stop position knowledge base through the statistical data of elevator operation;

[0063] The fourth step: The inference engine outputs the standby stop positions of each elevator;

[0064] The fifth step: If there is an elevator ride task confirmed by video image recognition on this floor, go to the sixth step; otherwise, go to the seventh step;

[0065] The sixth step: Query the status of each elevator in turn, and select the elevator that is on the same route, the closest in distance and the load rate ≤ 95% to execute the elevator ride task;

[0066] The seventh step: After the elevator ride task is completed, each elevator runs to the standby stop position;

[0067] The eighth step: m = m + 1. If m ≤ the highest floor number, return to the third step; otherwise, go to the second step.

[0068] It should be noted that according to the needs of implementation, each step / component described in this application can be split into more steps / components, or two or more steps / components or partial operations of steps / components can be combined into new steps / components to achieve the purpose of the present invention.

[0069] Those skilled in the art can easily understand that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for controlling an elevator in an intelligent park, characterized in that Including: Under the normal operation state of the elevator, receiving the elevator ride demand instruction sent by the personnel in the elevator lobby of the target floor through the elevator call button; After identifying that there are waiting passengers in the elevator lobby of the target floor, establishing the current floor elevator ride task and sequentially querying the operation states of each elevator in turn; According to the standby stop positions, operation routes, load states of each elevator and the elevator ride demands of each floor, determining the elevator set that meets the elevator ride demand instruction of the current floor; Selecting the elevator closest to the current floor in the set to execute the elevator ride task, and after the elevator completes the elevator ride task, running to the floor determined by the preset elevator standby stop position knowledge base to standby; The determination of the preset elevator standby stop position knowledge base is as follows: Collecting the expert knowledge of the elevator standby stop position from the elevator operation statistical data, where the expert knowledge of the elevator standby stop position includes the elevator standby stop positions under different elevator numbers and different elevator operation time periods; Using the rule method to express the expert knowledge of the elevator standby stop position, generating the fact base and the rule base. The fact base is created by dividing and creating facts according to the principles of different elevator numbers and different elevator operation time periods. The rule base is a rule base established by combining the facts in the created fact base, and matching the premise facts in the rule base with the facts of different elevator numbers and different elevator operation time periods; Determining the operation state of each elevator by Qn = { (Dn * Pn ≤ Km) ∪ (Dn = 0)} ∩ (Ln ≤ preset load rate value) to determine that the nth elevator is currently available for the mth floor, and selecting the elevator with the same route, the closest distance and the load rate ≤ 95% to execute the elevator ride task. Here, m represents the floor number, m takes an integer; n represents the elevator number, n takes an integer greater than 0; Km represents the elevator ride demand instruction of the mth floor, Km takes an integer -m, 0 or m, Km = 0 means there is no elevator ride demand on the mth floor, Km = m means the elevator ride demand on the mth floor is upward, Km = -m means the elevator ride demand on the mth floor is downward; Qn represents the operation state of the nth elevator, Qn takes a binary number 0 or 1, Qn = 0 means the nth elevator is currently unavailable, Qn = 1 means the nth elevator is currently available; Pn represents the floor number where the real-time position of the nth elevator is located, Pn takes an integer; Dn represents the operation direction of the nth elevator, Dn takes an integer 0, 1 or -1, Dn = 0 means standby, Dn = 1 means upward, Dn = -1 means downward; Ln represents the load rate of the nth elevator.

2. The method according to claim 1, characterized in that, The determination method of the standby stop positions of each elevator is as follows: Based on the elevator number and the elevator operation time period, performing knowledge reasoning through an inference engine based on the preset elevator standby stop position knowledge base to obtain the elevator standby stop position.

3. The method according to claim 2, characterized in that, The performing knowledge reasoning through an inference engine based on the preset elevator standby stop position knowledge base according to the elevator number and the elevator operation time period to obtain the elevator standby stop position includes: Matching the elevator number and the elevator operation time period with the facts in the fact base item by item and generating facts; Matching the rule premises in the rule base with the facts of the elevator number and the elevator operation time period in the generated facts; Extract the premise in each rule, verify whether the extracted premise is in the rule base. If all are in the rule base, the matching is successful; otherwise, take the next rule for matching; Output the conclusion of the rule with successful matching to obtain the elevator standby docking position.

4. The method according to claim 3, wherein The method further includes: Update and correct the preset elevator standby docking position knowledge base through the statistical data of elevator operation.

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