CN114148850B - Intelligent elevator management system and method - Google Patents
Intelligent elevator management system and method Download PDFInfo
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- CN114148850B CN114148850B CN202111648404.8A CN202111648404A CN114148850B CN 114148850 B CN114148850 B CN 114148850B CN 202111648404 A CN202111648404 A CN 202111648404A CN 114148850 B CN114148850 B CN 114148850B
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- 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
- B66B5/02—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions
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- 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
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0018—Devices monitoring the operating condition of the elevator system
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B50/00—Energy efficient technologies in elevators, escalators and moving walkways, e.g. energy saving or recuperation technologies
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- Maintenance And Inspection Apparatuses For Elevators (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
Abstract
The invention relates to the technical field of elevator operation data analysis, in particular to an intelligent elevator management system and method, wherein the system comprises the following components: the acquisition terminal is used for acquiring elevator operation data, wherein the elevator operation data comprises speed data and acceleration data; the data analysis module is used for analyzing the elevator operation data in real time, analyzing the fluctuation frequency of the speed data and the acceleration data, judging whether the fluctuation frequency meets the abnormal fluctuation condition, judging that the elevator operation data meets the preset abnormal condition when the fluctuation frequency meets the abnormal fluctuation condition, counting the abnormal times that the elevator operation data meets the preset abnormal condition, and generating an overhaul signal when the abnormal times meet the preset overhaul condition. By adopting the technical scheme, the technical problem that the abnormal condition of the elevator cannot be found in time in the prior art can be solved.
Description
Technical Field
The invention relates to the technical field of elevator operation data analysis, in particular to an intelligent elevator management system and method.
Background
With the popularization of high-rise buildings, the application of elevators is more and more extensive, and potential safety hazards exist while the elevators bring convenience to people. Because the space in the elevator is narrow and small, an emergency escape outlet does not exist, and in the use process of the elevator, if faults occur, trapped personnel in the elevator are difficult to save oneself. When external personnel rescue cannot rescue in time, the trapped personnel are easily damaged, and even the life of the trapped personnel is threatened, so that the safety management of the elevator is particularly important.
In order to reduce the failure rate of the elevator and ensure the safety of passengers in the elevator, a periodic maintenance mode is adopted in the prior art to maintain the elevator and corresponding equipment, and the maintenance frequency is usually one month or half year. However, during actual use of the elevator, the losses of the elevator and the corresponding equipment are affected by the operation of the elevator, e.g. the load of the elevator is too high, which increases the losses of the traction equipment of the elevator. In the use process of the elevator, the elevator and corresponding equipment have different losses in different overhaul periods due to the unpredictable running conditions, and the abnormal conditions of the elevator and the corresponding equipment cannot be found in time by adopting a periodic overhaul mode.
Disclosure of Invention
The invention aims to provide an intelligent elevator management system for solving the technical problem that the abnormal condition of an elevator cannot be found in time in the prior art.
The basic scheme provided by the invention is as follows: an intelligent elevator management system comprising:
the acquisition terminal is used for acquiring elevator operation data;
the data analysis module is used for analyzing the elevator operation data in real time, counting the abnormal times of the elevator operation data meeting the preset abnormal conditions, and generating an overhaul signal when the abnormal times meet the preset overhaul conditions.
The first basic scheme has the beneficial effects that:
and the acquisition terminal is used for acquiring elevator operation data such as elevator speed, acceleration and the like. Before the fault that the elevator appears, the elevator operation data can appear unusual, and the setting of data analysis module carries out the analysis to the elevator operation data of gathering, and the unusual number of times of unusual appears in statistics elevator transportation data, because the abnormal conditions is different, when the unusual number of times of statistics of different abnormal conditions satisfies different maintenance conditions, generates the maintenance signal and reminds the staff to overhaul.
By adopting the scheme, whether the elevator needs to be overhauled is judged through the abnormal operation condition of the elevator, and when the elevator is abnormal for many times, an overhauling signal is generated to remind, so that the abnormal condition of the elevator is timely found, overhauling is timely carried out, and the operation safety of the elevator is ensured.
Further, the elevator operation data includes speed data and acceleration data; the abnormal condition includes an abnormal fluctuation condition; the data analysis module comprises:
the fluctuation analysis sub-module is used for analyzing the fluctuation frequency of the speed data and the acceleration data, judging whether the fluctuation frequency meets the abnormal fluctuation condition, and judging that the elevator operation data meets the preset abnormal condition when the fluctuation frequency meets the abnormal fluctuation condition.
The beneficial effects are that: when the elevator operates in a normal state, normal fluctuation of the speed and the acceleration of the elevator operation occurs in the operation process due to stopping and starting, but when the elevator operation is in an abnormal state, such as abnormal traction equipment, the speed and the acceleration of the elevator operation are influenced by the abnormal traction equipment and abnormal fluctuation occurs, so that the fluctuation frequency of the speed data and the acceleration data in the elevator operation process is analyzed through the fluctuation analysis submodule, and the abnormal condition in the elevator operation process is found in time.
Further, the acquisition terminal is also used for acquiring elevator images; further comprises:
the fault judging module is used for judging whether the elevator operation has faults according to the elevator operation data;
and the face recognition module is used for carrying out face recognition according to the elevator image to generate personnel information of personnel in the elevator after the elevator fails in operation.
The beneficial effects are that: the setting of acquisition terminal still can gather elevator image, is convenient for manage business turn over personnel through gathering elevator image, when the elevator breaks down simultaneously, carries out face identification to elevator image through face identification module to learn stranded personnel, in time rescue.
Further, the acquisition terminal is also used for acquiring load information; further comprises:
and the people number analysis module is used for generating the number of people in the elevator according to the load information and the elevator image after the elevator operation fails.
The beneficial effects are that: the setting of acquisition terminal still can gather the load information of elevator, when the elevator breaks down, combines personnel's quantity in the elevator image analysis elevator through load information to learn stranded personnel's quantity, be convenient for make the rescue scheme when carrying out the rescue, in time know the rescue progress.
Further, the method further comprises the following steps:
the information screening module is used for screening out emergency contact information of personnel in the elevator according to personnel information and a preset personnel and contact information mapping table;
and the information pushing module is used for generating fault information and pushing the fault information according to the emergency contact way.
The beneficial effects are that: the emergency contact is the contact of the trapped person corresponding to the family members, the information screening module is arranged, the contact of the family members of the trapped person is screened according to the person information obtained by face recognition, fault information is generated through the information pushing module, the fault information is pushed to the family members of the trapped person, and the trapped condition of the family members of the trapped person is timely informed.
Further, the method further comprises the following steps:
the people number checking module is used for counting the personnel information to generate the face recognition number and judging whether the personnel number is consistent with the face recognition number;
the face recognition module is also used for carrying out face recognition according to the elevator image to generate secondary personnel information when the number of the personnel is inconsistent with the number of the face recognition.
The beneficial effects are that: the setting of the people number verification module generates the face recognition quantity according to the personnel information generated by face recognition, namely the quantity of trapped personnel analyzed through face recognition, and the quantity of personnel analyzed based on load information is combined for verification. By adopting the scheme, trapped personnel conditions can be acquired more accurately through a secondary face recognition mode, and follow-up rescue is facilitated.
The second purpose of the invention is to provide an intelligent elevator management method.
The invention provides a basic scheme II: an intelligent elevator management method comprises the following steps:
collecting elevator operation data;
and analyzing the elevator operation data in real time, counting the abnormal times of the elevator operation data meeting the preset abnormal conditions, and generating an overhaul signal when the abnormal times meet the preset overhaul conditions.
The second basic scheme has the beneficial effects that:
elevator operation data, such as elevator speed, acceleration, etc., are collected, and before an elevator fails, the elevator operation data is abnormal, so that the collected elevator operation data is analyzed. And counting abnormal times of the elevator transportation data, and generating an overhaul signal to remind a worker to overhaul when the abnormal times counted by different abnormal conditions meet different overhaul conditions due to different abnormal conditions. By adopting the scheme, whether the elevator needs to be overhauled is judged through the abnormal operation condition of the elevator, and when the elevator is abnormal for many times, an overhauling signal is generated to remind, so that the abnormal condition of the elevator is timely found, overhauling is timely carried out, and the operation safety of the elevator is ensured.
Further, the elevator operation data includes speed data and acceleration data; the abnormal condition includes an abnormal fluctuation condition; the elevator operation data are analyzed in real time, and the elevator operation data specifically comprise the following contents:
analyzing fluctuation frequencies of the speed data and the acceleration data, judging whether the fluctuation frequencies meet abnormal fluctuation conditions, and judging that the elevator operation data meet preset abnormal conditions when the fluctuation frequencies meet the abnormal fluctuation conditions.
The beneficial effects are that: when the elevator is in a normal state, the normal fluctuation of the speed and the acceleration of the elevator can occur in the running process due to stopping and starting, but when the elevator is in an abnormal state, such as abnormal traction equipment, the abnormal fluctuation of the speed and the acceleration of the elevator can occur due to the influence of the abnormal traction equipment, so that the abnormal situation of the elevator in the running process can be found in time through analyzing the fluctuation frequency of the speed data and the acceleration data in the elevator running process.
Further, the method also comprises the following steps:
collecting an elevator image;
judging whether the elevator operation fails according to the elevator operation data, and after the elevator operation fails, performing face recognition according to the elevator image to generate personnel information of personnel in the elevator.
The beneficial effects are that: the elevator image is collected to manage the people in and out, and meanwhile when the elevator fails, the face recognition is carried out through the elevator image, so that trapped people are known, the trapped situation is known, and rescue is carried out in time.
Further, the method also comprises the following steps:
generating fault information after the elevator operation fails;
a personnel and contact information mapping table is preset, and emergency contact information of personnel in the elevator is screened out from the personnel and contact information mapping table according to personnel information;
and pushing fault information according to the emergency contact way.
The beneficial effects are that: the emergency contact mode is the contact mode of the trapped person corresponding to the family, when the elevator fails, fault information is generated, meanwhile, the contact mode of the family of the trapped person is screened out according to the person information obtained through face recognition, the fault information is pushed to the family of the trapped person according to the screened contact mode, and the trapped condition of the trapped person of the family is timely informed.
Drawings
Fig. 1 is a logic block diagram of an embodiment of an intelligent elevator management system of the present invention.
Detailed Description
The following is a further detailed description of the embodiments:
examples
An elevator intelligent management system is shown in figure 1, and comprises an acquisition terminal, a data analysis module, an information pushing module, a fault judging module, a face recognition module, a people number analysis module and an information screening module.
The acquisition terminal is used for gathering elevator operation data, and in this embodiment, the elevator operation data comprises speed data and acceleration data.
The data analysis module is used for analyzing the elevator operation data in real time, counting the abnormal times of the elevator operation data meeting the preset abnormal conditions, and generating an overhaul signal when the abnormal times meet the preset overhaul conditions; the abnormal condition includes an abnormal fluctuation condition. Specifically, the data analysis module comprises a fluctuation analysis sub-module, an abnormality statistics sub-module and an abnormality judgment sub-module.
The fluctuation analysis sub-module is used for analyzing the fluctuation frequency of the speed data and the acceleration data, judging whether the fluctuation frequency meets the abnormal fluctuation condition, and judging that the elevator operation data meets the preset abnormal condition when the fluctuation frequency meets the abnormal fluctuation condition. Taking speed data as an example, continuously variable speed data in the elevator running process is obtained, and when the change of the speed data reaches an abnormal fluctuation condition, the condition represents that the elevator running is abnormal at the moment, namely the elevator running data meets the preset abnormal condition.
The abnormality statistics submodule is used for counting the abnormal times of the elevator operation data meeting the preset abnormal conditions, and when the elevator operation data meets the preset abnormal conditions, the corresponding abnormal times are increased. In other embodiments, the anomaly statistics sub-module is further configured to reset the number of anomalies after elevator service.
The abnormality judgment sub-module is used for judging whether the abnormal times meet the preset maintenance conditions after the abnormal times change, and generating maintenance signals when the abnormal times meet the preset maintenance conditions. In this embodiment, the preset maintenance condition is an abnormal number threshold, and when the abnormal number exceeds the abnormal number threshold, it is determined that the abnormal number satisfies the preset maintenance condition.
The information pushing module is used for pushing the overhaul signal. The intelligent terminal that maintainer used is used for receiving the maintenance signal, in time overhauls the elevator after maintainer knows the maintenance signal, reduces elevator running risk.
The acquisition terminal is also used for acquiring elevator images, and in the embodiment, the acquisition terminal comprises monitoring equipment, and the elevator images are images acquired by the monitoring equipment in the elevator.
The fault judging module is used for judging whether the elevator operation has faults or not according to the elevator operation data.
The face recognition module is used for carrying out face recognition according to the elevator image to generate personnel information of personnel in the elevator after the elevator operation fails, wherein the personnel information comprises names and room numbers. In this embodiment, taking an office building as an example, specifically, face information of all employees in the office building is preset in the face recognition module, and the face recognition module performs face recognition according to the elevator image and the face information to obtain the personnel information.
The acquisition terminal is also used for acquiring load information, wherein the load information is the weight of passengers carried by the elevator.
The people number analysis module is used for generating the number of people in the elevator according to the load information and the elevator image after the elevator operation fails. Specifically, the people number analysis module is used for carrying out personnel identification according to the elevator image, wherein the personnel identification result comprises personnel identification number and doubtful number, and the doubtful number is the number of uncertain human bodies or not. The people number analysis module is further used for carrying out personnel estimation results according to the load information and the preset average load, when the personnel estimation results are consistent with the personnel identification results, the personnel estimation results are the number of the personnel in the elevator, when the personnel estimation results are inconsistent with the personnel identification results, if the doubtful number is zero, the personnel identification results are the number of the personnel in the elevator, and if the doubtful number is not zero, the personnel estimation results are the number of the personnel in the elevator.
The information screening module is preset with a person and contact information mapping table, and the mapping relation of the person name and the contact information of the family members is recorded in the person and contact information mapping table. The information screening module is used for screening out the emergency contact information of the personnel in the elevator according to the personnel information and the personnel and contact information mapping table, wherein the emergency contact information is the contact information of the family members corresponding to the trapped personnel in the elevator
The information pushing module is further used for generating fault information after the elevator operation fails, and pushing the fault information according to the emergency contact mode.
In other embodiments, a people count verification module is also included. The people number checking module is used for counting the personnel information to generate the face recognition number and judging whether the personnel number is consistent with the face recognition number; the face recognition module is also used for carrying out face recognition according to the elevator image to generate secondary personnel information when the number of the personnel is inconsistent with the number of the face recognition.
An intelligent elevator management method, which uses the intelligent elevator management system, comprises the following steps:
the acquisition step: elevator operation data is collected, including speed data and acceleration data.
An anomaly analysis step: and analyzing the elevator operation data in real time, counting the abnormal times of the elevator operation data meeting the preset abnormal conditions, and generating an overhaul signal when the abnormal times meet the preset overhaul conditions, wherein the abnormal conditions comprise abnormal fluctuation conditions. The anomaly analysis step specifically includes the following:
analyzing fluctuation frequencies of the speed data and the acceleration data, judging whether the fluctuation frequencies meet abnormal fluctuation conditions, and judging that the elevator operation data meet preset abnormal conditions when the fluctuation frequencies meet the abnormal fluctuation conditions. Taking speed data as an example, continuously variable speed data in the elevator running process is obtained, and when the change of the speed data reaches an abnormal fluctuation condition, the condition represents that the elevator running is abnormal at the moment, namely the elevator running data meets the preset abnormal condition.
Counting the abnormal times of the elevator operation data meeting the preset abnormal conditions, and increasing the corresponding abnormal times when the elevator operation data meets the preset abnormal conditions. In other embodiments, the number of anomalies is reset after elevator service.
After the abnormal times change, judging whether the abnormal times meet the preset maintenance conditions, and generating and pushing maintenance signals when the abnormal times meet the preset maintenance conditions. In this embodiment, the preset maintenance condition is an abnormal number threshold, and when the abnormal number exceeds the abnormal number threshold, it is determined that the abnormal number satisfies the preset maintenance condition.
The intelligent terminal that maintainer used is used for receiving the maintenance signal, in time overhauls the elevator after maintainer knows the maintenance signal, reduces elevator running risk.
The collecting step further comprises the following steps: and acquiring an elevator image, wherein the elevator image is an image acquired by monitoring equipment in the elevator.
And a fault analysis step: and judging whether the elevator operation fails according to the elevator operation data.
Personnel analysis: after the elevator operation fails, face recognition is carried out according to the elevator image to generate personnel information of personnel in the elevator, wherein the personnel information comprises names and room numbers. In this embodiment, taking an office building as an example, face information of all employees in the office building is stored in advance, and face recognition is performed according to elevator images and the face information to obtain the personnel information.
In other embodiments, the collecting step further comprises the following: and collecting load information, wherein the load information is the weight of passengers carried by the elevator. The personnel analysis step further includes the following: and after the elevator fails to operate, generating the number of people in the elevator according to the load information and the elevator image. The method specifically comprises the following steps: and carrying out personnel identification according to the elevator image, wherein the personnel identification result comprises personnel identification quantity and doubtful quantity, and the doubtful quantity is the quantity of whether the person is a human body or not. The people number analysis module is further used for carrying out personnel estimation results according to the load information and the preset average load, when the personnel estimation results are consistent with the personnel identification results, the personnel estimation results are the number of the personnel in the elevator, when the personnel estimation results are inconsistent with the personnel identification results, if the doubtful number is zero, the personnel identification results are the number of the personnel in the elevator, and if the doubtful number is not zero, the personnel estimation results are the number of the personnel in the elevator.
An information pushing step: after the elevator operation fails, failure information is generated. The method comprises the steps of presetting a personnel and contact information mapping table, wherein the mapping relation of the personnel name and the contact information of family members of the personnel is recorded in the personnel and contact information mapping table. And screening out emergency contact information of the personnel in the elevator from the personnel and contact information mapping table according to the personnel information, wherein the emergency contact information is the contact information of the trapped personnel corresponding to family members in the elevator. And pushing fault information according to the emergency contact way.
The foregoing is merely an embodiment of the present invention, and a specific structure and characteristics of common knowledge in the art, which are well known in the scheme, are not described herein, so that a person of ordinary skill in the art knows all the prior art in the application day or before the priority date of the present invention, and can know all the prior art in the field, and have the capability of applying the conventional experimental means before the date, so that a person of ordinary skill in the art can complete and implement the present embodiment in combination with his own capability in the light of the present application, and some typical known structures or known methods should not be an obstacle for a person of ordinary skill in the art to implement the present application. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (9)
1. An intelligent elevator management system, comprising:
the acquisition terminal is used for acquiring elevator operation data;
the data analysis module is used for analyzing the elevator operation data in real time, counting the abnormal times of the elevator operation data meeting the preset abnormal conditions, and generating an overhaul signal when the abnormal times meet the preset overhaul conditions;
the acquisition terminal is still used for gathering elevator image and load information, still includes:
the people number analysis module is used for carrying out personnel identification according to elevator images after the elevator operation fails, and the personnel identification result comprises personnel identification number and suspicious number; and carrying out personnel estimation results according to the load information and a preset average load;
when the personnel estimation result is consistent with the personnel identification result, the personnel estimation result is the number of the personnel in the elevator, when the personnel estimation result is inconsistent with the personnel identification result, if the doubtful number is zero, the personnel identification result is the number of the personnel in the elevator, and if the doubtful number is not zero, the personnel estimation result is the number of the personnel in the elevator.
2. The intelligent elevator management system of claim 1, wherein: the elevator operation data comprises speed data and acceleration data; the abnormal condition includes an abnormal fluctuation condition; the data analysis module comprises:
the fluctuation analysis sub-module is used for analyzing the fluctuation frequency of the speed data and the acceleration data, judging whether the fluctuation frequency meets the abnormal fluctuation condition, and judging that the elevator operation data meets the preset abnormal condition when the fluctuation frequency meets the abnormal fluctuation condition.
3. The intelligent elevator management system of claim 1, wherein: further comprises:
and the face recognition module is used for carrying out face recognition according to the elevator image to generate personnel information of personnel in the elevator after the elevator fails in operation.
4. An elevator intelligent management system according to claim 3, further comprising:
the information screening module is used for screening out emergency contact information of personnel in the elevator according to personnel information and a preset personnel and contact information mapping table;
and the information pushing module is used for generating fault information and pushing the fault information according to the emergency contact way.
5. An elevator intelligent management system according to claim 3, further comprising:
the people number checking module is used for counting the personnel information to generate the face recognition number and judging whether the personnel number is consistent with the face recognition number;
the face recognition module is also used for carrying out face recognition according to the elevator image to generate secondary personnel information when the number of the personnel is inconsistent with the number of the face recognition.
6. An intelligent elevator management method, characterized in that the intelligent elevator management system according to any one of claims 1-5 is used, comprising the following:
collecting elevator operation data;
and analyzing the elevator operation data in real time, counting the abnormal times of the elevator operation data meeting the preset abnormal conditions, and generating an overhaul signal when the abnormal times meet the preset overhaul conditions.
7. The intelligent elevator management method according to claim 6, wherein: the elevator operation data comprises speed data and acceleration data; the abnormal condition includes an abnormal fluctuation condition; the elevator operation data are analyzed in real time, and the elevator operation data specifically comprise the following contents:
analyzing fluctuation frequencies of the speed data and the acceleration data, judging whether the fluctuation frequencies meet abnormal fluctuation conditions, and judging that the elevator operation data meet preset abnormal conditions when the fluctuation frequencies meet the abnormal fluctuation conditions.
8. The intelligent elevator management method according to claim 6, further comprising:
collecting an elevator image;
judging whether the elevator operation fails according to the elevator operation data, and after the elevator operation fails, performing face recognition according to the elevator image to generate personnel information of personnel in the elevator.
9. The intelligent elevator management method according to claim 8, further comprising:
generating fault information after the elevator operation fails;
a personnel and contact information mapping table is preset, and emergency contact information of personnel in the elevator is screened out from the personnel and contact information mapping table according to personnel information;
and pushing fault information according to the emergency contact way.
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