CN113800342A - Efficient self-adaptive elevator control method - Google Patents
Efficient self-adaptive elevator control method Download PDFInfo
- Publication number
- CN113800342A CN113800342A CN202111071231.8A CN202111071231A CN113800342A CN 113800342 A CN113800342 A CN 113800342A CN 202111071231 A CN202111071231 A CN 202111071231A CN 113800342 A CN113800342 A CN 113800342A
- Authority
- CN
- China
- Prior art keywords
- rule
- peak
- elevator
- adaptive
- preset
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000011156 evaluation Methods 0.000 claims abstract description 60
- 230000003044 adaptive effect Effects 0.000 claims description 64
- 238000012360 testing method Methods 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 12
- 239000000126 substance Substances 0.000 claims description 9
- 230000001174 ascending effect Effects 0.000 claims description 5
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000013112 stability test Methods 0.000 claims description 3
- 238000013097 stability assessment Methods 0.000 claims 1
- 230000009286 beneficial effect Effects 0.000 description 11
- 238000010586 diagram Methods 0.000 description 10
- 238000004590 computer program Methods 0.000 description 7
- 230000008859 change Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 238000007711 solidification Methods 0.000 description 2
- 230000008023 solidification Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/02—Control systems without regulation, i.e. without retroactive action
- B66B1/06—Control systems without regulation, i.e. without retroactive action electric
- B66B1/14—Control systems without regulation, i.e. without retroactive action electric with devices, e.g. push-buttons, for indirect control of movements
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
Landscapes
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Elevator Control (AREA)
Abstract
The invention provides a high-efficiency self-adaptive elevator control method, which comprises the following steps: collecting and counting the running information of the elevator, and recording the peak time of the elevator; generating a peak carrying rule according to the peak time, and replacing a preset carrying rule in the elevator; transmitting the peak carrying rule to a preset self-adaptive control system, carrying out stability evaluation, and determining an evaluation result; wherein the evaluation result comprises unqualified stability and qualified stability; when the evaluation result is that the stability is unqualified, re-building and optimizing the peak delivery rule, and determining an optimized delivery rule; and when the evaluation result is that the stability is qualified, returning to collect and count the operation information of the elevator, and recording the peak time of the elevator.
Description
Technical Field
The invention relates to the technical field of self-adaptive elevator control, in particular to a high-efficiency self-adaptive elevator control method.
Background
At present, the control algorithm of an elevator is generally solidified, an elevator in one area or a part of the elevator with a fixed format can use the same algorithm to control the elevator and cannot be changed, but the environment using the elevator is usually changed along with different application scenes, so that the elevator can use different algorithms more flexibly at different moments.
Disclosure of Invention
The invention provides an efficient self-adaptive elevator control method to solve the problems.
The invention provides a high-efficiency self-adaptive elevator control method which is characterized by comprising the following steps:
step 1000: collecting and counting the running information of the elevator, and recording the peak time of the elevator;
step 1001: generating a peak carrying rule according to the peak time, and replacing a preset carrying rule in the elevator;
step 1002: transmitting the peak carrying rule to a preset self-adaptive control system, carrying out stability evaluation, and determining an evaluation result; wherein the content of the first and second substances,
the evaluation result comprises unqualified stability and qualified stability;
step 1003: when the evaluation result is that the stability is unqualified, re-building and optimizing the peak delivery rule, and determining an optimized delivery rule;
step 1004: and returning to the step 1000 when the evaluation result is that the stability is qualified.
As an embodiment of the present technical solution, the collecting and counting operation information of an elevator and recording peak time of the elevator includes:
acquiring a control record list of the elevator through a preset data acquisition system;
transmitting the control record list of the elevator to a preset big data statistical center, counting elevator control records, and acquiring operation information of the elevator according to the elevator control records;
analyzing and reading the elevator running information through a preset big data center, recording and storing the peak time of elevator running, wherein,
the peak time comprises an uplink peak time and a downlink peak time.
As an embodiment of the present technical solution, the generating a peak transportation rule according to the peak time and replacing a preset transportation rule in an elevator includes:
setting a timing time through the peak time;
transmitting the timing time to a preset carrying rule, setting a corresponding timing rule, and fitting the timing rule transmission and the preset carrying rule to determine a fitting result;
according to the fitting result, re-establishing a preset delivery rule, and determining a peak delivery rule;
and when the timing time is in the peak time, replacing the preset carrying rule in the elevator, and starting the peak carrying rule.
As an embodiment of the present technical solution, the transmitting the timing time to a preset carrying rule, and setting a corresponding timing rule further includes:
step S1: obtaining elevator peak running information within a timing time range, filtering the elevator peak running information, and determining peak running processing information;
step S2: updating the uplink peak time and the downlink peak time according to the peak operation processing information, and determining the update peak time; wherein the content of the first and second substances,
the updating peak time comprises updating uplink peak time and updating downlink peak time;
step S3: and transmitting the updated peak time to a preset carrying rule based on a preset self-adaptive system, automatically adjusting the timing time, and setting a corresponding timing rule.
As an embodiment of the present technical solution, the re-building a preset delivery rule according to the fitting result, and determining a peak delivery rule includes:
generating a corresponding control instruction according to the fitting result, and determining a control signal according to the control instruction;
sending the control signal to the elevator car through the elevator control cabinet, controlling the elevator to build a preset carrying rule again, and determining an updating rule;
determining a regular time interval by updating the uplink peak time and updating the downlink peak time;
and through the regular time interval, replacing the preset carrying rule of the elevator with the updated rule to determine the peak carrying rule.
As an embodiment of the technical solution, the elevator control cabinet also controls a plurality of elevators at the same time, and reserves one elevator in a regular time interval, and operates according to a preset carrying rule, so as to move reversely when the elevator is in a peak operation.
As an embodiment of the present technical solution, the peak carrying rule further includes:
when the elevator is in the up peak updating time, only responding to the up call, simultaneously only performing the peak up-going, and after the weight of the elevator reaches the preset full load value, ascending to the appointed floor in a segmented carrying mode;
when the elevator is in the update down peak time, only the down outbound is responded, and the peak down is carried out.
As an embodiment of the present technical solution, the step of carrying in segments further includes:
step 100: when the one-time segmented carrying is finished;
step 101: responding to the uplink outbound by updating the downlink peak time, performing peak uplink and determining an uplink result;
step 102: by updating the uplink peak time and responding to the downlink outbound, performing peak downlink and determining a downlink result;
step 103: determining a peak operation result according to the uplink result and the downlink result;
step 104: and when the peak operation result is not abnormal, carrying out next subsection carrying, and returning to the step 100.
As an embodiment of the present technical solution, the transmitting the peak carrying rule to a preset adaptive control system, performing stability evaluation, and determining an evaluation result includes:
extracting rule state information of a peak carrying rule based on a preset self-adaptive control system, and generating corresponding target self-adaptive rule data according to the rule state information;
constructing a corresponding adaptive rule model according to the target adaptive rule data;
and calculating the stability of the adaptive rule model through a preset model detector in the adaptive control system, and evaluating the stability of the adaptive rule model to determine an evaluation result.
As an embodiment of the present technical solution, the calculating, by a preset model detector in an adaptive control system, stability of an adaptive rule model, and performing stability evaluation on the adaptive rule model to determine an evaluation result includes:
performing stability test on the adaptive rule model through a model detector preset in the adaptive control system to determine test data;
determining stability data of the adaptive rule model according to a preset stability standard judgment rule and the test data; wherein the content of the first and second substances,
the stability standard judgment rule comprises a standard time judgment parameter, a standard space judgment parameter and a standard content self-adaptive judgment parameter;
and calculating the standard degree of the stability data, evaluating the stability of the self-adaptive rule model through the standard degree preset in the stability standard judgment rule, and determining an evaluation result.
The invention has the following beneficial effects:
the invention provides a high-efficiency self-adaptive elevator control method, which comprises the steps of collecting and counting elevator operation information, and recording peak time; changing a preset delivery rule according to the peak time, and determining a peak delivery rule; transmitting the peak carrying rule to a preset self-adaptive control system for stability evaluation, and determining an evaluation result; when the evaluation result is that the stability is unqualified, re-building and optimizing the peak delivery rule, and determining an optimized delivery rule; and returning to the step 1000 when the evaluation result is that the stability is qualified. The delivery rule of elevator can also often change along with the application scene of difference along with the environment of elevator, to different moments, the elevator uses different algorithms can be more nimble, can also be through gathering by oneself, conjecture peak up time and peak down time, carry out at present, many elevators rely on fixed algorithm mode to change the rule at fixed time, perhaps manual control, often more rigor, to the environment that the condition is nimble changeable, the mode solidification, the efficiency is also low, rely on manual control, consume the human cost.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 illustrates an efficient adaptive elevator control method according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating an efficient adaptive elevator control method according to an embodiment of the present invention;
fig. 3 is a diagram illustrating an efficient adaptive elevator control method according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or be indirectly on the other element. When an element is referred to as being "connected to" another element, it can be directly or indirectly connected to the other element.
It will be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like, as used herein, refer to an orientation or positional relationship indicated in the drawings that is solely for the purpose of facilitating the description and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and is therefore not to be construed as limiting the invention.
Moreover, it is noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions, and "a plurality" means two or more unless specifically limited otherwise. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Example 1:
as shown in fig. 1, an efficient adaptive elevator control method includes:
step 1000: collecting and counting the running information of the elevator, and recording the peak time of the elevator;
step 1001: generating a peak carrying rule according to the peak time, and replacing a preset carrying rule in the elevator;
step 1002: transmitting the peak carrying rule to a preset self-adaptive control system, carrying out stability evaluation, and determining an evaluation result; wherein the content of the first and second substances,
the evaluation result comprises unqualified stability and qualified stability;
step 1003: when the evaluation result is that the stability is unqualified, re-building and optimizing the peak delivery rule, and determining an optimized delivery rule;
step 1004: and returning to the step 1000 when the evaluation result is that the stability is qualified.
The technical scheme and the beneficial effects are as follows:
the invention provides a high-efficiency self-adaptive elevator control method, which comprises the steps of collecting and counting elevator operation information, and recording peak time; changing a preset delivery rule according to the peak time, and determining a peak delivery rule; transmitting the peak carrying rule to a preset self-adaptive control system for stability evaluation, and determining an evaluation result; when the evaluation result is that the stability is unqualified, re-building and optimizing the peak delivery rule, and determining an optimized delivery rule; and returning to the step 1000 when the evaluation result is that the stability is qualified. The delivery rule of elevator can also often change along with the application scene of difference along with the environment of elevator, to different moments, the elevator uses different algorithms can be more nimble, can also be through gathering by oneself, conjecture peak up time and peak down time, carry out at present, many elevators rely on fixed algorithm mode to change the rule at fixed time, perhaps manual control, often more rigor, to the environment that the condition is nimble changeable, the mode solidification, the efficiency is also low, rely on manual control, consume the human cost.
Example 2:
as shown in fig. 2, the present technical solution provides an embodiment, the collecting and counting operation information of an elevator, and recording peak time of the elevator, including:
acquiring a control record list of the elevator through a preset data acquisition system;
transmitting the control record list of the elevator to a preset big data statistical center, counting elevator control records, and acquiring operation information of the elevator according to the elevator control records;
analyzing and reading the elevator running information through a preset big data center, recording and storing the peak time of elevator running, wherein,
the peak time comprises an uplink peak time and a downlink peak time.
The working principle and the beneficial effects of the technical scheme are as follows:
the technical scheme collects and counts elevator operation information, records peak time, generally stores the elevator operation information in a preset information base for recording, and is convenient for maintenance personnel to check, the elevator operation information comprises the steps of collecting an elevator control record list through a preset data collection system, automatically reading the record list of the elevator through a preset crawler program or other modes, transmitting the elevator control record list through data analysis, counting elevator control records, determining elevator operation information according to the elevator control records, recording the historical operation of the elevator through the elevator operation information, analyzing and reading the elevator operation information, because the elevator operation information has large general data volume, and because the data is large, elevator information with a corresponding format can be generated or formatted compression is performed, the data packet of the large elevator operation information needs to be analyzed, recording the peak time of the elevator operation, wherein the peak time comprises an ascending peak time and a descending peak time, providing raw materials and raw data for the operation rule of the peak time through recording the peak time of the elevator, and building and replacing a corresponding peak rule.
Example 3:
according to fig. 3, the present technical solution provides an embodiment, said generating peak traffic rules according to the peak hours and replacing preset traffic rules in the elevator, comprising:
setting a timing time through the peak time;
transmitting the timing time to a preset carrying rule, setting a corresponding timing rule, and fitting the timing rule transmission and the preset carrying rule to determine a fitting result;
according to the fitting result, re-establishing a preset delivery rule, and determining a peak delivery rule;
and when the timing time is in the peak time, replacing the preset carrying rule in the elevator, and starting the peak carrying rule.
The working principle and the beneficial effects of the technical scheme are as follows:
the technical scheme includes that a preset carrying rule is replaced according to the peak time, the peak carrying rule is determined, a new time packet is recorded into an established carrying rule through collection and automatic acquisition of the up peak time and the down peak time, when the new time packet does not belong to the peak time, an elevator has the peak rule which is already operated, when the new time packet belongs to the peak time, the peak rule of the technical scheme is replaced, the peak rule of the elevator is replaced, the carrying efficiency of the peak time of the elevator is improved, the running time of the elevator is saved, the timing time is set according to the peak time, the existing peak time can be replaced through the preset time such as a week, a half month or a month, summer and winter, for example, the peak time of people is not completely consistent, or the peak time of working personnel is not the same for working in night shifts, so different situations need to be met, the time or the environment can be modulated, the peak time of a worker is recorded as the timing time, the timing rule is set according to the timing time, the timing rule is transmitted to the preset carrying rule to be fitted, the fitting result is determined, the carrying rule is preset by the elevator, namely the existing rule of the elevator at the beginning, the timing rule is fitted, the updated carrying rule is determined, and the carrying rule is updated at the peak time. According to the fitting result, the preset carrying rule is replaced, the peak carrying rule is determined, the corresponding carrying rule can be implemented at different time according to the existing condition and the existing environment, meanwhile, the operation efficiency is improved, the rule at the peak time can be automatically replaced in a self-adaptive mode, and the elevator operation cost is reduced.
Example 4:
this technical solution provides an embodiment, where the transmitting the timing time to a preset carrying rule and setting a corresponding timing rule further includes the following steps:
step S1: obtaining elevator peak running information within a timing time range, filtering the elevator peak running information, and determining peak running processing information;
step S2: updating the uplink peak time and the downlink peak time according to the peak operation processing information, and determining the update peak time; wherein the content of the first and second substances,
the updating peak time comprises updating uplink peak time and updating downlink peak time;
step S3: and transmitting the updated peak time to a preset carrying rule based on a preset self-adaptive system, automatically adjusting the timing time, and setting a corresponding timing rule.
The working principle and the beneficial effects of the technical scheme are as follows:
according to the technical scheme, a timing rule is set according to the timing time, a self-adaptive system can automatically replace the peak time, so that the latest statistical data is replaced, the time is automatically set according to the environment of an elevator, the elevator running information in the timing time is processed by setting the timing time, the processing information is determined, and the processing information is analyzed; wherein, the updating peak time comprises updating up peak time and updating down peak time; and automatically adjusting the updating peak time based on a preset self-adaptive system, carrying out peak operation on the elevator, and determining a timing rule.
Example 5:
this technical scheme provides an embodiment, according to the fitting result, set up preset delivery rule again, confirm peak delivery rule, include:
generating a corresponding control instruction according to the fitting result, and determining a control signal according to the control instruction;
sending the control signal to the elevator car through the elevator control cabinet, controlling the elevator to build a preset carrying rule again, and determining an updating rule;
determining a regular time interval by updating the uplink peak time and updating the downlink peak time;
and through the regular time interval, replacing the preset carrying rule of the elevator with the updated rule to determine the peak carrying rule.
The working principle and the beneficial effects of the technical scheme are as follows:
according to the technical scheme, the fitting result is that the special rule and the carrying rule of the peak time are subjected to rule superposition building according to the fitting result, the preset carrying rule is replaced, the peak carrying rule is determined, the obtained timing rule and the preset carrying rule are normalized and fitted, the updated peak time and the fitting result are obtained, based on the updated peak time and the fitting result, a control signal is sent to an elevator car through an elevator control cabinet, a control command is generated, the elevator running adapting to the current peak rule and the running rule is generated according to the rule after the initial fitting, the elevator is controlled to replace the preset carrying rule according to the control command, the peak carrying rule is determined, and therefore the peak carrying peak is carried out in a targeted mode, and the peak carrying efficiency is improved.
Example 6:
the technical scheme provides an embodiment, the elevator control cabinet also controls a plurality of elevators at the same time, one elevator is reserved in a regular time interval, and the elevator runs according to a preset carrying rule and is used for moving reversely in the peak running process.
The working principle and the beneficial effects of the technical scheme are as follows:
the elevator control cabinet of the technical scheme also controls a plurality of elevators at the same time, reserves one elevator in a regular time interval, runs through a preset carrying rule, and moves reversely when running at a peak, so that normal operation of customers is ensured, and personnel are not caused to the reversely moving personnel.
Example 7:
this technical solution provides an embodiment, and the peak delivery rule further includes:
when the elevator is in the up peak updating time, only responding to the up call, simultaneously only performing the peak up-going, and after the weight of the elevator reaches the preset full load value, ascending to the appointed floor in a segmented carrying mode;
when the elevator is in the update down peak time, only the down outbound is responded, and the peak down is carried out.
The working principle and the beneficial effects of the technical scheme are as follows:
the peak carrying rule of the technical scheme comprises that when an elevator is in an up peak updating time, only an up call is responded, peak ascending is carried out, and after the weight of the elevator reaches a preset full load value, the elevator ascends to a specified floor in a segmented carrying mode; when the elevator is in the update down peak time, only the down outbound call is responded, and the peak down is carried out, so that the efficiency of peak operation is improved, the speed of peak operation is accelerated, and the operation cost is reduced.
Example 8:
the technical scheme provides an embodiment, and the segmented carrying mode further comprises the following steps:
step 100: when the one-time segmented carrying is finished;
step 101: responding to the uplink outbound by updating the downlink peak time, performing peak uplink and determining an uplink result;
step 102: by updating the uplink peak time and responding to the downlink outbound, performing peak downlink and determining a downlink result;
step 103: determining a peak operation result according to the uplink result and the downlink result;
step 104: and when the peak operation result is not abnormal, carrying out next subsection carrying, and returning to the step 100.
The working principle and the beneficial effects of the technical scheme are as follows:
the sectional carrying mode of the technical scheme comprises that after one-time sectional carrying is finished; responding to the uplink outbound by updating the downlink peak time, performing peak uplink and determining an uplink result; by updating the uplink peak time and responding to the downlink outbound, performing peak downlink and determining a downlink result; determining a peak operation result according to the uplink result and the downlink result; and when the peak operation result is not abnormal, carrying out next subsection carrying and circulating.
Example 9:
the technical solution provides an embodiment, the transmitting the peak carrying rule to a preset adaptive control system, performing stability evaluation, and determining an evaluation result, including:
extracting rule state information of a peak carrying rule based on a preset self-adaptive control system, and generating target self-adaptive rule data according to the rule state information;
generating a corresponding adaptive rule model according to the target adaptive rule data;
and determining the stability of the adaptive rule model through a preset model detector in the adaptive control system, and evaluating the stability of the adaptive rule model to determine an evaluation result.
The working principle and the beneficial effects of the technical scheme are as follows:
the technical scheme transmits the peak carrying rule to a preset self-adaptive control system, carries out stability evaluation and determines an evaluation result, the self-adaptive control system can extract characteristics and carry out personalized self-adaptation aiming at the existing technical scheme so as to improve the robustness of the whole network, the rule state information of the peak carrying rule is extracted based on the preset self-adaptive control system, target self-adaptive rule data is generated according to the rule state information, the self-adaptive control system builds the behavior of the rule state information, the self-adaptive data is acquired, a corresponding self-adaptive rule model is generated according to the target self-adaptive rule data, the self-adaptive rule model is built aiming at the evaluation standard of the self-arranged elevator control system, and the self-adaptive rule model of the elevator is ensured to have pertinence and be adaptive to specific environment and place, the stability of the self-adaptive rule model is determined through a model detector preset in the self-adaptive control system, the stability of the self-adaptive rule model is evaluated, and an evaluation result is determined, so that the whole operation rule of the elevator is checked, the detection pressure of the whole network is reduced when the peak carrying rule operates, the safety and the robustness of the whole network are improved, and the intuitive and visible stability evaluation is provided through the evaluation of the self-adaptive rule model.
Example 10:
the technical solution provides an embodiment, the calculating, by a preset model detector in an adaptive control system, stability of an adaptive rule model, and performing stability evaluation on the adaptive rule model to determine an evaluation result includes:
performing stability test on the adaptive rule model through a model detector preset in the adaptive control system to determine test data;
wherein, Ft,iRepresenting the ith test data, F, tested at time t0Represents the initial value of the test, μ0Coefficient of influence, μ, representing the stability of the variable factor with respect to the initial value of the testt,iCoefficient of influence representing the stability of the variable factor with respect to the ith test data at time t, Ft,i-1Represents the i-1 th test data tested at the time t, o (f) represents the influence residual value related to the test data, t is 1,2, …, m represents the total time of the collected test data, i is 1,2, …, n, i represents the collected test dataThe total number of test data of (a);
determining stability data of the adaptive rule model according to a preset stability standard judgment rule and the test data; wherein the content of the first and second substances,
the stability standard judgment rule comprises a standard time judgment parameter, a standard space judgment parameter and a standard content self-adaptive judgment parameter;
HF＝wt(∫0 +∞Ftx-1dt)2+wi∫0 +∞Fiy-1di+wz∫0 +∞Fzj-1dz
wherein HFRepresenting the stability of the adaptive rule model, wtRepresenting a criterion time decision parameter, w, with respect to time tiRepresenting standard content adaptive decision parameters, w, with respect to the ith test datazRepresenting standard space decision coefficients with respect to space, x representing a defining coefficient of time, y representing a fluctuation parameter of the test data, j representing a scale coefficient of the standard space, distribution of the reaction space;
calculating the standard degree of the stability data, evaluating the stability of the self-adaptive rule model through the standard degree preset in the stability standard judgment rule, and determining an evaluation result;
where St (H) represents a constant degree of accuracy in the criterion of stability, St (H)F) Representing a constant standard degree of stability data about the adaptive rule model, and U representing an evaluation result;
when the evaluation result U belongs to (0, 0.45), the stability of the self-adaptive rule model is extremely poor;
when the evaluation result U belongs to (0.45, 0.75), the stability of the adaptive rule model is good;
when the evaluation result U epsilon (0.75, 1) represents that the stability of the adaptive rule model is excellent.
The working principle and the beneficial effects of the technical scheme are as follows:
the technical scheme includes that the stability of an adaptive rule model is calculated through a preset model detector in an adaptive control system, the stability of the adaptive rule model is evaluated, an evaluation result is determined, the stability of the adaptive rule model is tested through the preset model detector in the adaptive control system, and test data F is determinedt，iDetermining the stability data of the adaptive rule model according to a preset stability standard judgment rule and the test data; the stability standard judgment rule comprises a standard time judgment parameter, a standard space judgment parameter and a standard content self-adaptive judgment parameter, the standard degree of stability data is calculated, the stability of the self-adaptive rule model is evaluated through the standard degree preset in the stability standard judgment rule, and an evaluation result U is determined; when the evaluation result U epsilon (0, 0.45)]The stability of the representative adaptive rule model is extremely poor; when the evaluation result U epsilon (0.45, 0.75)]The stability of the representative adaptive rule model is good; when the evaluation result U epsilon (0.75, 1)]The stability of the representative adaptive rule model is excellent, and the control system of the elevator at peak rules and ordinary times is measured and controlled through the safety evaluation of the elevator, so that the operation efficiency of the elevator is ensured, and the operation safety of the elevator is improved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. An efficient adaptive elevator control method, comprising:
step 1000: collecting and counting the running information of the elevator, and recording the peak time of the elevator;
step 1001: generating a peak carrying rule according to the peak time, and replacing a preset carrying rule in the elevator;
step 1002: transmitting the peak carrying rule to a preset self-adaptive control system, carrying out stability evaluation, and determining an evaluation result; wherein the content of the first and second substances,
the evaluation result comprises unqualified stability and qualified stability;
step 1003: when the evaluation result is that the stability is unqualified, re-building and optimizing the peak delivery rule, and determining an optimized delivery rule;
step 1004: and returning to the step 1000 when the evaluation result is that the stability is qualified.
2. The efficient adaptive elevator control method according to claim 1, wherein the collecting and counting the operation information of the elevator and recording the peak time of the elevator comprises:
acquiring a control record list of the elevator through a preset data acquisition system;
transmitting the control record list of the elevator to a preset big data statistical center, counting elevator control records, and acquiring operation information of the elevator according to the elevator control records;
analyzing and reading the elevator running information through a preset big data center, recording and storing the peak time of elevator running, wherein,
the peak time comprises an uplink peak time and a downlink peak time.
3. The efficient adaptive elevator control method according to claim 1, wherein the generating peak traffic rules and replacing preset traffic rules in the elevator according to the peak time comprises:
setting a timing time through the peak time;
transmitting the timing time to a preset carrying rule, setting a corresponding timing rule, and fitting the timing rule transmission and the preset carrying rule to determine a fitting result;
according to the fitting result, re-establishing a preset delivery rule, and determining a peak delivery rule;
and when the timing time is in the peak time, replacing the preset carrying rule in the elevator, and starting the peak carrying rule.
4. A high efficiency adaptive elevator control method as defined in claim 3, wherein said transmitting said timing time to a preset carrying rule, setting a corresponding timing rule, further comprises the steps of:
step S1: obtaining elevator peak running information within a timing time range, filtering the elevator peak running information, and determining peak running processing information;
step S2: updating the uplink peak time and the downlink peak time according to the peak operation processing information, and determining the update peak time; wherein the content of the first and second substances,
the updating peak time comprises updating uplink peak time and updating downlink peak time;
step S3: and transmitting the updated peak time to a preset carrying rule based on a preset self-adaptive system, automatically adjusting the timing time, and setting a corresponding timing rule.
5. The efficient adaptive elevator control method according to claim 3, wherein the re-constructing preset traffic rules according to the fitting result to determine peak traffic rules comprises:
generating a corresponding control instruction according to the fitting result, and determining a control signal according to the control instruction;
sending the control signal to the elevator car through the elevator control cabinet, controlling the elevator to build a preset carrying rule again, and determining an updating rule;
determining a regular time interval by updating the uplink peak time and updating the downlink peak time;
and through the regular time interval, replacing the preset carrying rule of the elevator with the updated rule to determine the peak carrying rule.
6. An efficient adaptive elevator control method according to claim 5, wherein the elevator control cabinet controls a plurality of elevators at the same time, and reserves one elevator for a regular time interval to run by a preset carrying rule for moving in reverse direction at the time of peak operation.
7. The efficient adaptive elevator control method of claim 5, wherein the peak delivery rules further comprise:
when the elevator is in the up peak updating time, only responding to the up call, simultaneously only performing the peak up-going, and after the weight of the elevator reaches the preset full load value, ascending to the appointed floor in a segmented carrying mode;
when the elevator is in the update down peak time, only the down outbound is responded, and the peak down is carried out.
8. The efficient adaptive elevator control method according to claim 7, wherein the staged carrying manner further comprises the steps of:
step 100: when the one-time segmented carrying is finished;
step 101: responding to the uplink outbound by updating the downlink peak time, performing peak uplink and determining an uplink result;
step 102: by updating the uplink peak time and responding to the downlink outbound, performing peak downlink and determining a downlink result;
step 103: determining a peak operation result according to the uplink result and the downlink result;
step 104: and when the peak operation result is not abnormal, carrying out next subsection carrying, and returning to the step 100.
9. The method of claim 1, wherein the transmitting the peak carrier regulation to a predetermined adaptive control system and performing a stability assessment to determine the assessment result comprises:
extracting rule state information of a peak carrying rule based on a preset self-adaptive control system, and generating corresponding target self-adaptive rule data according to the rule state information;
constructing a corresponding adaptive rule model according to the target adaptive rule data;
and calculating the stability of the adaptive rule model through a preset model detector in the adaptive control system, and evaluating the stability of the adaptive rule model to determine an evaluation result.
10. The efficient adaptive elevator control method according to claim 9, wherein the calculating stability of the adaptive rule model by a preset model detector in the adaptive control system and performing stability evaluation on the adaptive rule model to determine an evaluation result comprises:
performing stability test on the adaptive rule model through a model detector preset in the adaptive control system to determine test data;
determining stability data of the adaptive rule model according to a preset stability standard judgment rule and the test data; wherein the content of the first and second substances,
the stability standard judgment rule comprises a standard time judgment parameter, a standard space judgment parameter and a standard content self-adaptive judgment parameter;
and calculating the standard degree of the stability data, evaluating the stability of the self-adaptive rule model through the standard degree preset in the stability standard judgment rule, and determining an evaluation result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111071231.8A CN113800342A (en) | 2021-09-14 | 2021-09-14 | Efficient self-adaptive elevator control method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111071231.8A CN113800342A (en) | 2021-09-14 | 2021-09-14 | Efficient self-adaptive elevator control method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113800342A true CN113800342A (en) | 2021-12-17 |
Family
ID=78941167
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111071231.8A Pending CN113800342A (en) | 2021-09-14 | 2021-09-14 | Efficient self-adaptive elevator control method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113800342A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115028045A (en) * | 2022-06-10 | 2022-09-09 | 广州广日电梯工业有限公司 | Self-adaptive adjusting method, system and device for elevator door opening width and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5035302A (en) * | 1989-03-03 | 1991-07-30 | Otis Elevator Company | "Artificial Intelligence" based learning system predicting "Peak-Period" times for elevator dispatching |
| GB9508173D0 (en) * | 1994-04-22 | 1995-06-07 | Hitachi Ltd | Elevator system |
| US20070084674A1 (en) * | 2003-06-30 | 2007-04-19 | Kone Corporation | Identification of incoming peak traffic |
| US20130219402A1 (en) * | 2011-09-06 | 2013-08-22 | Airbus Operations (Sas) | Robust system control method with short execution deadlines |
| CN105110108A (en) * | 2015-08-27 | 2015-12-02 | 恒达富士电梯有限公司 | Efficient self-adaption elevator control method |
| WO2019053410A1 (en) * | 2017-09-12 | 2019-03-21 | Stannah Stairlifts Ltd | Improvements in or relating to stairlifts |
| CN111071872A (en) * | 2020-01-09 | 2020-04-28 | 广东卓梅尼技术股份有限公司 | Intelligent elevator control method and system based on commuter flow measurement and calculation |
-
2021
- 2021-09-14 CN CN202111071231.8A patent/CN113800342A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5035302A (en) * | 1989-03-03 | 1991-07-30 | Otis Elevator Company | "Artificial Intelligence" based learning system predicting "Peak-Period" times for elevator dispatching |
| GB9508173D0 (en) * | 1994-04-22 | 1995-06-07 | Hitachi Ltd | Elevator system |
| US20070084674A1 (en) * | 2003-06-30 | 2007-04-19 | Kone Corporation | Identification of incoming peak traffic |
| US20130219402A1 (en) * | 2011-09-06 | 2013-08-22 | Airbus Operations (Sas) | Robust system control method with short execution deadlines |
| CN105110108A (en) * | 2015-08-27 | 2015-12-02 | 恒达富士电梯有限公司 | Efficient self-adaption elevator control method |
| WO2019053410A1 (en) * | 2017-09-12 | 2019-03-21 | Stannah Stairlifts Ltd | Improvements in or relating to stairlifts |
| CN111071872A (en) * | 2020-01-09 | 2020-04-28 | 广东卓梅尼技术股份有限公司 | Intelligent elevator control method and system based on commuter flow measurement and calculation |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115028045A (en) * | 2022-06-10 | 2022-09-09 | 广州广日电梯工业有限公司 | Self-adaptive adjusting method, system and device for elevator door opening width and storage medium |
| CN115028045B (en) * | 2022-06-10 | 2023-12-19 | 广州广日电梯工业有限公司 | Self-adaptive adjusting method, system and device for elevator door opening width and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106990763B (en) | A kind of Vertical Mill operation regulator control system and method based on data mining | |
| CN106934720B (en) | Equipment insurance intelligent pricing method and system based on Internet of things | |
| CN115272037B (en) | Smart city based on Internet of things regional public security management early warning method and system | |
| CN107423433B (en) | Data sampling rate control method and device | |
| CN109573772B (en) | General elevator health degree evaluation system | |
| CN107963529A (en) | Building traffic analyzer | |
| CN109242135A (en) | A kind of model method for running, device and service server | |
| CN104317695A (en) | Self-service equipment monitoring method and self-service equipment monitoring device | |
| CN110925968B (en) | Air conditioner control method and device and air conditioner | |
| CN105453121A (en) | Location analysis for analytics | |
| CN112650660B (en) | Early warning method and device for data center power system | |
| CN113800342A (en) | Efficient self-adaptive elevator control method | |
| CN105515820A (en) | Health analysis method for operation and maintenance management | |
| CN114519451B (en) | Intelligent island type park vehicle carbon emission prediction method and system | |
| CN107548503A (en) | Dynamic vehicle performance evaluation instrument with smoothing filter | |
| CN116909339B (en) | Intelligent household safety early warning method and system based on artificial intelligence | |
| CN114049790B (en) | Intelligent management system of intelligent park based on Internet of things and Internet technology | |
| CN102745558B (en) | Elevator cluster management system and control method thereof | |
| CN108243429A (en) | A kind of network coverage detection method and system for indoor distributed system | |
| CN116822115A (en) | Environment management method and system for intelligent park based on digital twin technology | |
| CN111337234A (en) | TBM scraper service life prediction system and method based on real-time monitoring | |
| CN111219853A (en) | Building air conditioner temperature control system based on BIM technology and people flow statistics | |
| CN108108839A (en) | Grid information system equipment state method for early warning based on reverse Fuzzy Level Analytic Approach | |
| CN115671907A (en) | Intelligent replacement reminding method and device for dust removal cloth bag and electronic equipment | |
| CN110793563B (en) | Running state detection method of wheel sensor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20211217 |
|
| RJ01 | Rejection of invention patent application after publication |