An intelligent control system based on an elevator

Abstract

The present application relates to the field of elevator technology, and specifically relates to an intelligent control system based on an elevator, comprising: a control terminal, which is the master control terminal of the system and is used for issuing execution commands; a collection module, which is used for collecting characteristic parameters of an elevator transportation target; and a configuration module, which is used for obtaining the characteristic parameters of the elevator transportation target and configuring the operation logic of the elevator based on the characteristic parameters of the transportation target; the present application configures the operation logic of the elevator by collecting the appearance image and quality parameters of the transportation target, so as to control the operation power of the elevator, so as to adapt the operation power of the elevator to the transportation target, so that the operation power of the elevator can be adjusted according to the actual situation of the transportation target, and the intelligent control of the operation power of the elevator is finally realized, and the operation energy-saving management is further realized by the operation power control of the elevator, so that the operation cost of the elevator is no longer limited to the operation time.

Description

Technical Field

[0001] This invention relates to the field of elevator technology, and more specifically to an intelligent control system based on elevators. Background Technology

[0002] A lifting platform is a vertical transportation device widely used in construction, warehousing, and industrial fields. Driven by a motor and mechanical transmission, it enables the smooth lifting of personnel or goods between different floors. Lifting platforms are characterized by their robust structure, ease of operation, and high load-bearing capacity, significantly improving work efficiency and ensuring transportation safety, providing a convenient solution for various high-altitude operations and material handling.

[0003] Patent application number 202111608853.X discloses an intelligent operation control system for the lifting safety of an elevator, comprising an elevator, characterized by including a data acquisition module, a monitoring module, an interaction module, an early warning module, and a processor. The processor is controllably connected to the data acquisition module, the monitoring module, the interaction module, and the early warning module. The data acquisition module is used to collect the weight and position data of users entering the elevator; the monitoring module monitors the stopping position and operating status of the elevator; the interaction module is used to interact with the user to prompt the user to perform control operations; and the early warning module is used to respond to emergencies. In this state, a warning signal is issued to the user, prompting the user to perform an emergency landing operation; the acquisition module includes an acquisition unit and a sensing unit. The acquisition unit is used to acquire the actions of the user entering the elevator and, in conjunction with the warning module and the interaction module, prompts the user; the sensing unit acquires the position of the user in each elevator; the sensing unit includes a sensing plate and several position sensors. The sensing plate is set on the bottom wall of the elevator car to acquire the user's weight; the position sensors are evenly distributed along the length of the sensing plate to acquire the user's standing position.

[0004] The application aims to address the problem that "in the prior art, elevators have a low level of intelligence, lack emergency protection, lack self-inspection capabilities, and are unable to perform intelligent human-machine interaction."

[0005] However, compared to material handling and freight elevators, which are currently often manually controlled to lift and transport goods and materials, the power of elevators is mostly fixed when dealing with the transportation of goods and materials of different weights. As a result, the operating cost of elevators is entirely based on the duration of use, leading to low energy efficiency in elevator operation. Summary of the Invention

[0006] In view of the above-mentioned shortcomings of the existing technology, the present invention provides an intelligent control system based on an elevator, which solves the technical problems mentioned in the background.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] An intelligent control system based on an elevator includes:

[0009] The control terminal is the main control terminal of the system, used to issue execution commands; the acquisition module is used to collect the characteristic parameters of the elevator transport target; the configuration module is used to acquire the characteristic parameters of the elevator transport target and configure the elevator operation logic based on the characteristic parameters; the monitoring module is used to monitor whether the latest elevator transport target characteristic parameters collected by the acquisition module are reused parameters; the drive module is used to receive the elevator operation logic configured in the configuration module and apply the elevator operation logic to control the elevator operation; the output module is used to output elevator operation messages.

[0010] The control terminal is interconnected with a data acquisition module via a wireless network. The data acquisition module is interconnected with an identification unit and a storage unit via a wireless network. The data acquisition module is interconnected with a configuration module via a wireless network. The configuration module contains a binding unit interconnected with a wireless network. The binding unit is interconnected with the storage unit via a wireless network. The configuration module is interconnected with a monitoring module via a wireless network. The monitoring module is interconnected with a retrieval unit and a jump unit via a wireless network. The monitoring unit is interconnected with the storage unit via a wireless network. The configuration module is interconnected with a driver module and an output module via a wireless network. The driver module is interconnected with the retrieval unit via a wireless network.

[0011] Furthermore, the acquisition module has sub-modules at its lower level, including:

[0012] The identification unit is used to capture images of the appearance and quality of the transport target.

[0013] The storage unit is used to receive and store the appearance and quality images of the transport target captured by the identification unit.

[0014] Among them, the appearance image and quality of the transport target captured by the identification unit are the characteristic parameters of the transport target. When the storage unit stores the appearance image and quality of the transport target, it simultaneously compares the appearance image and quality of the transport target to be stored with the appearance image and quality of the transport target already stored in the storage unit. When a similar item is found, the appearance image and quality of the transport target to be stored is discarded.

[0015] Furthermore, the similarity between the appearance image and quality of the transport target is calculated using the following formula:

[0016]

[0017] In the formula: sim(A,B) represents the similarity between the appearance image and mass of transport targets in group A and group B; n 2 Let g be the image resolution; P(A(i,j)) is the pixel value at position (i,j) in the appearance image of the transport target in group A, and P(B(i,j)) is the pixel value at position (i,j) in the appearance image of the transport target in group B, and g ... A For the appearance image and mass of the transport target in group A, the mass of the transport target is g. B In the appearance image and quality of the transport target in group B, the mass of the transport target is shown; γ is an adjustment factor.

[0018] In the calculation of similarity sim(A,B), the appearance images and quality of the transport targets in group B always come from the storage unit. Based on the above formula, the appearance images and quality of the transport targets to be stored are compared with the appearance images and quality of each group of transport targets already stored in the storage unit. When a group of appearance images and quality of transport targets with a similarity greater than 95% is found, the appearance images and quality of the transport targets to be stored are discarded. Otherwise, the appearance images and quality of the transport targets to be stored are stored.

[0019] Furthermore, the aforementioned This represents the average pixel difference between the two sets of images. Indicates the similarity between two sets of images;

[0020] The adjustment factor γ takes the value of 1 or -1, g A >g B When the adjustment factor γ = -1, g A ≤g B When the adjustment factor γ = 1.

[0021] Furthermore, the operational logic for configuring the elevator in the configuration module includes: lifting height and motor power during elevator lifting and transportation;

[0022] In the operational logic of the elevator configuration, the elevator lifting height is set by the system user, and the motor power is estimated and applied based on the characteristic parameters of the transport target during elevator lifting and transportation.

[0023] The motor power of the elevator during lifting and transportation is estimated using the following formula:

[0024]

[0025] Where: P is the motor power of the elevator when lifting and transporting; P0 is the motor power of the elevator when lifting and transporting air; W is the weight of the transported target; F f η is the frictional force generated during the elevator's transport process; m is the total mass of the transported target and the elevator itself; a is the elevator's transport acceleration; s is the elevator's transport speed; η is the efficiency of the elevator's motor and transmission system; λ is the normalization factor.

[0026] Among them, the efficiency η of the motor and transmission system of the elevator is ∈ [0.7, 0.9]; the normalization factor λ > 1, and follows the setting logic that the larger the transport target weight W is, the larger the value of the normalization factor λ is, and vice versa.

[0027] Furthermore, the configuration module internally includes sub-modules, including:

[0028] The binding unit is used to receive the budget result of the motor power of the elevator during lifting and transportation from the configuration module, apply the budget result to the elevator, and further feed the budget result back to the storage unit, binding it with the appearance image and quality of similar transportation targets already stored in the storage unit, or the appearance image and quality of similar transportation targets to be stored.

[0029] Furthermore, the monitoring module performs an operation to check whether the latest collected elevator transport target feature parameters are reused parameters. That is, it monitors the similarity comparison results between the transport target appearance image and quality to be stored in the storage unit and each set of transport target appearance images and quality already stored in the storage unit. When a set of transport target appearance images and quality with a similarity greater than 95% is found, the monitoring module's monitoring result is yes; otherwise, the monitoring module's monitoring result is no.

[0030] When the monitoring module detects a positive result, the retrieval unit is triggered to run:

[0031] The retrieval unit is used to retrieve, from the storage unit, the budget result that corresponds to the appearance image and quality of the transport target to be stored, which has a similarity of more than 95%.

[0032] When the monitoring module detects a negative result, the jump unit is triggered to run:

[0033] The jump unit is used to jump to the configuration module for execution.

[0034] Furthermore, when the retrieval unit is in the triggered running state, after the retrieval unit finishes running, the drive module runs further;

[0035] When the jump unit is triggered and running, the system runs to the configuration module running stage. After the configuration module finishes running, the drive module runs further.

[0036] Furthermore, the elevator operation message output by the output module includes: the elevator operation application operation logic, and the actual real-time motor power of the elevator during the elevator lifting and transporting process based on the operation logic.

[0037] Compared with known public technologies, the technical solution provided by this invention has the following beneficial effects:

[0038] This invention provides an intelligent control system based on a lifting platform. During operation, the system collects images of the transported target and its quality parameters, and configures the lifting platform with targeted operating logic to control its operating power. This ensures that the lifting platform's operating power is adapted to the transported target, allowing the operating power to be adjusted according to the actual situation of the transported target. Ultimately, this intelligent control of the lifting platform's operating power leads to energy-saving management, freeing the lifting platform's operating costs from being limited by operating time. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0040] Figure 1 This is a schematic diagram of an intelligent control system based on an elevator. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0042] The present invention will be further described below with reference to embodiments.

[0043] Example 1:

[0044] This embodiment provides an intelligent control system based on an elevator, such as... Figure 1 As shown, it includes:

[0045] The control terminal is the main control terminal of the system, used to issue execution commands;

[0046] The data acquisition module is used to collect characteristic parameters of the elevator transport target.

[0047] The data acquisition module has sub-modules, including:

[0048] The identification unit is used to capture images of the appearance and quality of the transport target.

[0049] The storage unit is used to receive and store the appearance and quality images of the transport target captured by the identification unit.

[0050] Among them, the appearance image and quality of the transport target captured by the identification unit are the characteristic parameters of the transport target. When the storage unit stores the appearance image and quality of the transport target, it simultaneously compares the appearance image and quality of the transport target to be stored with the appearance image and quality of the transport target already stored in the storage unit. When a similar item is found, the appearance image and quality of the transport target to be stored is discarded.

[0051] The similarity between the appearance image and mass of the transport target is calculated using the following formula:

[0052]

[0053] In the formula: sim(A,B) represents the similarity between the appearance image and mass of transport targets in group A and group B; n 2 Let g be the image resolution; P(A(i,j)) is the pixel value at position (i,j) in the appearance image of the transport target in group A, and P(B(i,j)) is the pixel value at position (i,j) in the appearance image of the transport target in group B, and g ... A For the appearance image and mass of the transport target in group A, the mass of the transport target is g. B In the appearance image and quality of the transport target in group B, the mass of the transport target is shown; γ is an adjustment factor.

[0054] In the calculation of similarity sim(A,B), the appearance images and quality of the transport target in group B always come from the storage unit. Based on the above formula, the appearance images and quality of the transport target to be stored are compared with the appearance images and quality of each group of transport targets already stored in the storage unit. When a group of appearance images and quality of transport targets with a similarity greater than 95% is found, the appearance images and quality of the transport target to be stored are discarded. Otherwise, the appearance images and quality of the transport target to be stored are stored.

[0055] This represents the average pixel difference between the two sets of images. Indicates the similarity between two sets of images;

[0056] The adjustment factor γ takes the value of 1 or -1, g A >g B When the adjustment factor γ = -1, g A ≤g B When the adjustment factor γ = 1;

[0057] The configuration module is used to obtain the characteristic parameters of the transport target of the elevator and configure the elevator operation logic based on the characteristic parameters of the transport target;

[0058] The monitoring module is used to monitor whether the latest collected elevator transportation target characteristic parameters are reused parameters.

[0059] The driver module is used to receive the elevator operation logic configured in the configuration module and use the elevator operation logic to control the operation of the elevator.

[0060] The output module is used to output elevator operation messages;

[0061] The elevator operation message output by the output module includes: the elevator operation application operation logic, and the actual real-time motor power of the elevator during the lifting and transportation process based on the operation logic;

[0062] The control terminal is interconnected with a data acquisition module via a wireless network. The data acquisition module is interconnected with an identification unit and a storage unit via a wireless network. The data acquisition module is interconnected with a configuration module via a wireless network. The configuration module is interconnected with a binding unit via a wireless network. The binding unit is interconnected with the storage unit via a wireless network. The configuration module is interconnected with a monitoring module via a wireless network. The monitoring module is interconnected with a retrieval unit and a jump unit via a wireless network. The monitoring unit is interconnected with the storage unit via a wireless network. The configuration module is interconnected with a driver module and an output module via a wireless network. The driver module is interconnected with the retrieval unit via a wireless network.

[0063] In this embodiment, the control terminal controls the acquisition module to collect the characteristic parameters of the transport target of the elevator. During the acquisition module's operation, the identification unit simultaneously captures the appearance image and quality of the transport target, and the storage unit receives the captured appearance image and quality of the transport target in real time and stores them. The configuration module runs afterward to obtain the characteristic parameters of the elevator transport target, configures the elevator's operating logic based on the transport target characteristic parameters, and the binding unit simultaneously receives the budget result of the motor power during elevator lifting and transport from the configuration module, applies the budget result to the elevator, and further feeds the budget result back to the storage unit, comparing it with similar transport targets already stored in the storage unit. The appearance image and quality, or similar transport target appearance images and quality to be stored, are bound together. The monitoring module further monitors whether the latest elevator transport target feature parameters collected by the acquisition module are reused parameters. If the monitoring module's monitoring result is yes, the retrieval unit retrieves the transport target appearance image and quality with a similarity greater than 95% to the transport target appearance image and quality to be stored from the storage unit, and the corresponding bound budget result. If the monitoring module's monitoring result is no, the jump unit jumps to the configuration module, and then the driver module receives the elevator operation logic configured in the configuration module, applies the elevator operation logic to control the elevator operation, and finally outputs the elevator operation message through the output module.

[0064] Through the system operation in the above embodiments, intelligent control of the operating power of the elevator is brought, which makes the elevator perform the lifting and transportation tasks stably while reducing the energy waste generated by the operating power.

[0065] Example 2:

[0066] At the implementation level, based on Example 1, this example refers to... Figure 1 A more detailed description of the intelligent control system based on an elevator in Example 1 is provided below:

[0067] The configuration module includes the following operational logic for configuring the elevator: lifting height and motor power during elevator lifting and transportation;

[0068] In the operational logic of the elevator configuration, the elevator lifting height is set by the system user, and the motor power during elevator lifting and transportation is estimated and applied based on the characteristic parameters of the transportation target;

[0069] The motor power of the lifting platform during lifting and transportation can be estimated using the following formula:

[0070]

[0071] Where: P is the motor power of the elevator when lifting and transporting; P0 is the motor power of the elevator when lifting and transporting air; W is the weight of the transported target; F fη is the frictional force generated during the elevator's transport process; m is the total mass of the transported target and the elevator itself; a is the elevator's transport acceleration; s is the elevator's transport speed; η is the efficiency of the elevator's motor and transmission system; λ is the normalization factor.

[0072] Among them, the efficiency η of the motor and transmission system of the elevator is ∈ [0.7, 0.9]; the normalization factor λ > 1, and follows the setting logic that the larger the transport target weight W is, the larger the value of the normalization factor λ is, and vice versa.

[0073] The configuration module contains sub-modules, including:

[0074] The binding unit is used to receive the budget result of the motor power of the elevator during lifting and transportation from the configuration module, apply the budget result to the elevator, and further feed the budget result back to the storage unit, binding it with the appearance image and quality of similar transportation targets already stored in the storage unit, or the appearance image and quality of similar transportation targets to be stored.

[0075] In this embodiment, the above settings further limit the motor power budget logic during the lifting and transportation of the elevator, and based on the operation of the binding unit, the budget result is further bound and stored with the appearance image and quality parameters of the transportation target stored in the storage unit.

[0076] Example 3:

[0077] At the implementation level, based on Example 1, this example refers to... Figure 1 A more detailed description of the intelligent control system based on an elevator in Example 1 is provided below:

[0078] The monitoring module performs an operation to check whether the latest collected elevator transport target feature parameters are reused parameters. That is, it monitors the similarity comparison results between the transport target appearance image and quality to be stored in the storage unit and the various groups of transport target appearance images and quality already stored in the storage unit. When a group of transport target appearance images and quality with a similarity greater than 95% is found, the monitoring module's monitoring result is yes; otherwise, the monitoring module's monitoring result is no.

[0079] When the monitoring module detects a positive result, the retrieval unit is triggered to run:

[0080] The retrieval unit is used to retrieve, from the storage unit, the budget result that corresponds to the appearance image and quality of the transport target to be stored, which has a similarity of more than 95%.

[0081] When the monitoring module detects a negative result, the jump unit is triggered to run:

[0082] The jump unit is used to jump to the configuration module for execution;

[0083] When the retrieval unit is in the triggered running state, after the retrieval unit finishes running, the driver module will continue to run;

[0084] When the jump unit is triggered and running, the system runs to the configuration module running stage. After the configuration module finishes running, the driver module runs further.

[0085] In this embodiment, the above settings provide further operational logic support for the operation of the system in Embodiment 1, ensuring that the settings in Embodiment 3 can further assist the operation of the system in Embodiment 1 and bring continuous intelligent control to the elevator.

[0086] In summary, during operation, the system in the above embodiments collects the appearance image and quality parameters of the transport target and configures the elevator with targeted operating logic, thereby controlling the elevator's operating power to achieve the purpose of matching the elevator's operating power with the transport target. As a result, the elevator's operating power can be adjusted according to the actual situation of the transport target. Ultimately, the intelligent control of the elevator's operating power further brings about energy-saving management, so that the operating cost of the elevator is no longer limited by the operating time.

[0087] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent control system based on an elevator, characterized in that, The system comprises: a control terminal, which is a master control terminal of the system and is used for issuing execution commands; a collection module, which is used for collecting characteristic parameters of a lifting machine transportation target; a configuration module, which is used for obtaining the characteristic parameters of the lifting machine transportation target and configuring lifting machine operation logic based on the characteristic parameters of the transportation target; a monitoring module, which is used for monitoring whether the latest collected characteristic parameters of the lifting machine transportation target collected by the collection module are multiplex parameters; a driving module, which is used for receiving the lifting machine operation logic configured in the configuration module and applying the lifting machine operation logic to control the operation of the lifting machine; an output module, which is used for outputting a lifting machine operation message. The collection module is provided with a sub-module, which comprises: an identification unit, which is used for capturing appearance images and quality of the transportation target; a storage unit, which is used for receiving the appearance images and quality of the transportation target captured by the identification unit and storing the appearance images and quality of the transportation target. The appearance images and quality of the transportation target captured by the identification unit are the characteristic parameters of the transportation target. When the storage unit stores the appearance images and quality of the transportation target, the appearance images and quality of the transportation target to be stored are compared with the appearance images and quality of the transportation target already stored in the storage unit in terms of similarity. When a similar item is found, the appearance images and quality of the transportation target to be stored are discarded. The similarity of the appearance images and quality of the transportation target is calculated by the following formula: wherein: sim(A, B) is the similarity of the appearance images and quality of the transport targets of group A and the appearance images and quality of the transport targets of group B; n 2 is the image resolution; P(A(i, j)) is the pixel value of the (i, j) position in the appearance image of the transport target in the appearance images and quality of the transport targets of group A; P(B(i, j)) is the pixel value of the (i, j) position in the appearance image of the transport target in the appearance images and quality of the transport targets of group B; g A is the quality of the transport target in the appearance images and quality of the transport targets of group A; g B is the quality of the transport target in the appearance images and quality of the transport targets of group B; γ is an adjustment factor; In the calculation process, the B group of appearance images and quality of the transportation target always comes from the storage unit. Based on the above formula, the appearance images and quality of the transportation target to be stored are compared with each group of appearance images and quality of the transportation target already stored in the storage unit in terms of similarity. When a group of appearance images and quality of the transportation target with a similarity greater than 95% is found, the appearance images and quality of the transportation target to be stored are discarded. Otherwise, the appearance images and quality of the transportation target to be stored are stored. The represents the average pixel difference of the two sets of images, representing a similarity of the two sets of images; The adjustment factor γ takes the value 1 or -1, g A > g B The adjustment factor γ = -1, g A ≤ g B The adjustment factor γ = 1.

2. An intelligent control system based on an elevator as claimed in claim 1, wherein, The operation logic configured for the lifting machine in the configuration module comprises lifting height and motor power during lifting and transportation of the lifting machine. The lifting height of the lifting machine in the operation logic configured for the lifting machine is set by a user of the system. The motor power during lifting and transportation of the lifting machine is budgeted and applied based on the characteristic parameters of the transportation target. The motor power during lifting and transportation of the lifting machine is budgeted by the following formula: wherein: P is the motor power during the lifting transportation of the elevator; P0 is the motor power during the lifting empty transportation of the elevator; W is the weight of the transportation target; F f is the friction force generated during the transportation of the elevator; m is the total mass of the transportation target and the elevator itself; a is the transportation acceleration of the elevator; s is the transportation speed of the elevator; η is the efficiency of the motor and transmission system of the elevator; λ is a normalization factor; In the formula, the efficiency η of the motor and transmission system of the lifting machine is in the range of [0.7, 0.9]. The normalization factor λ is greater than 1 and is subject to the following setting logic: the greater the weight W of the transportation target, the greater the value of the normalization factor λ, and vice versa.

3. An intelligent control system based on an elevator as claimed in claim 2, wherein, The configuration module is internally provided with a sub-module, which comprises: a binding unit, which is used for receiving the budget result of the motor power during lifting and transportation of the lifting machine in the configuration module, applying the budget result to the lifting machine, and further feeding back the budget result to the storage unit and binding the budget result with similar appearance images and quality of the transportation target already stored in the storage unit or similar appearance images and quality of the transportation target to be stored.

4. The intelligent control system based on elevator as claimed in claim 1 wherein, The monitoring module monitors whether the latest elevator transportation target feature parameter collected by the monitoring collection module is a multiplex parameter, that is, monitors the similarity comparison result of the appearance image and quality of the transportation target to be stored in the storage unit and the appearance image and quality of each group of transportation targets already stored in the storage unit. When the appearance image and quality of a group of transportation targets with a similarity greater than 95% are compared, the monitoring module monitoring result is yes, otherwise, the monitoring module monitoring result is no; When the monitoring module monitoring result is yes, the calling unit is triggered to run: The calling unit is used to call the appearance image and quality of the transportation target corresponding to the bound budget result in the storage unit, which has a similarity greater than 95% with the appearance image and quality of the transportation target to be stored. When the monitoring module monitoring result is no, the jump unit is triggered to run: The jump unit is used to jump to the configuration module to run.

5. An intelligent control system based on an elevator as claimed in claim 4, wherein, In the running state of the calling unit, after the calling unit runs, the driving module further runs; In the running state of the jump unit, after the configuration module runs, the driving module further runs.

6. The intelligent control system based on elevator as claimed in claim 1 wherein, The elevator running message content output by the output module includes: elevator running application running logic, actual real-time motor power of elevator lifting transportation during elevator running based on running logic.

7. The intelligent control system based on elevator as claimed in claim 1 wherein, The control terminal is connected with the collection module through wireless network interaction, the collection module is connected with the identification unit and the storage unit through wireless network interaction, the collection module is connected with the configuration module through wireless network interaction, the configuration module is connected with the binding unit through wireless network interaction, the binding unit is connected with the storage unit through wireless network interaction, the configuration module is connected with the monitoring module through wireless network interaction, the monitoring module is connected with the calling unit and the jump unit through wireless network interaction, the monitoring module is connected with the storage unit through wireless network interaction, the configuration module is connected with the driving module and the output module through wireless network interaction, and the driving module is connected with the calling unit through wireless network interaction.

Images